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https://telanganatoday.com/meta-unveils-ai-system-enabling-translation-in-100-diverse-languages
2023-08-23T00:00:00
en
Meta unveils AI system enabling translation in 100 diverse languages-Telangana Today
Meta unveils AI system enabling translation in 100 diverse languages-Telangana Today Wednesday, Aug 23, 2023 Search HyderabadTelanganaAndhra PradeshIndiaWorldEntertainmentScience and TechSportBusiness ... NRIView PointcartoonColumnsReviewsEducation TodayPropertyVideosLifestyleRewind E-Paper NRIView PointcartoonColumnsReviewsEducation TodayPropertyVideosLifestyleRewind php // $pcontext=get_page_context(); ?> Home | India | Meta Unveils Ai System Enabling Translation In 100 Diverse Languages Meta unveils AI system enabling translation in 100 diverse languages Not just Meta is devoting efforts to the creation of cutting-edge AI transcription and translation systems. By ANI Published Date - 11:30 AM, Wed - 23 August 23 Los Angeles: Meta has developed an AI model called SeamlessM4T that can translate and transcribe almost 100 languages in both text and speech as part of its effort to create AI that can comprehend a variety of dialects, TechCrunch reported. A new translation dataset called SeamlessAlign is also available in open source. According to Meta, SeamlessM4T is a significant breakthrough in the field of AI-powered speech-to-speech and speech-to-text. According to Meta in a blog post shared with TechCrunch, “Our single model offers on-demand translations that help people who speak different languages to communicate more effectively.” The source languages are implicitly recognised by SeamlessM4T without the requirement for a separate language identification mechanism. In some ways, SeamlessM4T is the spiritual heir to Universal Speech Translator, one of the only direct speech-to-speech translation systems that support Hokkien, and Meta’s No Language Left Behind, a text-to-text machine translation paradigm. Additionally, it expanded on Meta’s architecture for massively multilingual speech, which offers technology for speech synthesis, language identification, and recognition across more than 1,100 languages. Not just Meta is devoting efforts to the creation of cutting-edge AI transcription and translation systems. As part of Google‘s larger effort to develop a model that can comprehend the 1,000 most widely spoken languages in the world, the tech giant is developing what it calls the Universal Speech Model, which goes beyond the wealth of commercial services and open-source models already offered by Amazon, Microsoft, OpenAI, and a number of startups. In the meantime, Mozilla led the development of Common Voice, one of the most comprehensive collections of voices in multiple languages for teaching automatic speech recognition systems. However, SeamlessM4T is one of the more daring attempts to date to integrate translation and transcription abilities into a single model. According to Meta, SeamlessM4T outperformed the most recent state-of-the-art speech transcription model in voice-to-text tasks on an internal benchmark for background noise and “speaker variations” in speech-to-text tasks. This is attributed to the training dataset’s rich blend of speech and text data, which according to Meta provides SeamlessM4T an advantage over speech-only and text-only models. “With state-of-the-art results, we believe SeamlessM4T is an important breakthrough in the AI community’s quest towards creating universal multitask systems,” stated Meta in the blog post. Also Read Instagram introduces more transparency measures for European users Meta introduces multilingual speech translation model for 100 languages Follow Us : Tags AI Google Meta Mozilla Related News OpenAI introduces fine-tuning capability to GPT-3.5 Turbo Meta introduces multilingual speech translation model for 100 languages AI scans could spot signs of Parkinson’s disease years before diagnosis: Study Instagram introduces more transparency measures for European users AI Helps The NTA Team Identify Impersonators | EPFO Social Security Assistant Exam | Telangana Today IBM’s new generative AI product to boost mainframe application modernisation Latest News Meta unveils AI system enabling translation in 100 diverse languages 31 seconds ago Songs that Prompted Shakti Kapoor to Travel Economy Class from the US 23 mins ago Google veteran Pulkit Trivedi named India managing director at Snap 23 mins ago Congress: Modi govt owes MGNREGA wages in 18 states, UTs 40 mins ago Ian Bell, Stephen Fleming to be part of New Zealand’s coaching team 23 mins ago Tamil Nadu to introduce Tree Act, enabling arrests for unlawful tree felling 24 mins ago Markets pare early gains; trade lower amid continuous foreign fund outflows 1 hour ago Angelina Jolie’s new finger tattoo sparks speculation about Brad Pitt 24 mins ago company Home About Us Contact Us business Subscribe telangana today Telangana Hyderabad Latest News Entertainment World Andhra Pradesh Science & Tech Sport follow us © Copyrights 2022 TELANGANA PUBLICATIONS PVT. LTD. All rights reserved. Powered by Veegam
Meta unveils AI system enabling translation in 100 diverse languages-Telangana Today
Meta unveils AI enabling translation 100 diverse languagesTelangana Today Wednesday, Aug 23, 2023 HyderabadTelanganaAndhra PradeshIndiaWorldEntertainmentScience TechSportBusiness ... NRIView PointcartoonColumnsReviewsEducation TodayPropertyVideosLifestyleRewind EPaper NRIView PointcartoonColumnsReviewsEducation TodayPropertyVideosLifestyleRewind php pcontext=get__context; ?> Home India Meta Unveils Ai System Enabling Translation In 100 Diverse Languages Meta unveils AI enabling translation 100 diverse languages Not Meta devoting efforts creation cuttingedge AI transcription translation systems. By ANI Published Date 11:30 AM, Wed 23 August 23 Los Angeles: Meta developed AI model called SeamlessM4T translate transcribe 100 languages text speech effort create AI comprehend variety dialects, TechCrunch reported. A new translation dataset called SeamlessAlign available open source. According Meta, SeamlessM4T significant breakthrough field AIpowered speechtospeech speechtotext. According Meta blog post shared TechCrunch, Our single model offers ondemand translations help people speak different languages communicate effectively. The source languages implicitly recognised SeamlessM4T requirement separate language identification mechanism. In ways, SeamlessM4T spiritual heir Universal Speech Translator, direct speechtospeech translation systems support Hokkien, Metas No Language Left Behind, texttotext machine translation paradigm. Additionally, expanded Metas architecture massively multilingual speech, offers technology speech synthesis, language identification, recognition 1,100 languages. Not Meta devoting efforts creation cuttingedge AI transcription translation systems. As Googles larger effort develop model comprehend 1,000 widely spoken languages world, tech giant developing calls Universal Speech Model, goes wealth commercial services opensource models offered Amazon, Microsoft, OpenAI, number startups. In meantime, Mozilla led development Common Voice, comprehensive collections voices multiple languages teaching automatic speech recognition systems. However, SeamlessM4T daring attempts date integrate translation transcription abilities single model. According Meta, SeamlessM4T outperformed recent stateoftheart speech transcription model voicetotext tasks internal benchmark background noise speaker variations speechtotext tasks. This attributed training datasets rich blend speech text data, according Meta provides SeamlessM4T advantage speechonly textonly models. With stateoftheart results, believe SeamlessM4T important breakthrough AI communitys quest creating universal multitask systems, stated Meta blog post. Also Read Instagram introduces transparency measures European users Meta introduces multilingual speech translation model 100 languages : Tags AI Google Meta Mozilla Related News OpenAI introduces finetuning capability GPT3.5 Turbo Meta introduces multilingual speech translation model 100 languages AI scans spot signs Parkinsons disease years diagnosis: Study Instagram introduces transparency measures European users AI Helps The NTA Team Identify Impersonators EPFO Social Security Assistant Exam Telangana Today IBMs new generative AI product boost mainframe application modernisation Latest News Meta unveils AI enabling translation 100 diverse languages 31 seconds ago Songs Prompted Shakti Kapoor Travel Economy Class US 23 mins ago Google veteran Pulkit Trivedi named India managing director Snap 23 mins ago Congress: Modi govt owes MGNREGA wages 18 states, UTs 40 mins ago Ian Bell, Stephen Fleming New Zealands coaching team 23 mins ago Tamil Nadu introduce Tree Act, enabling arrests unlawful tree felling 24 mins ago Markets pare early gains; trade lower amid continuous foreign fund outflows 1 hour ago Angelina Jolies new finger tattoo sparks speculation Brad Pitt 24 mins ago company Home Us business telangana today Telangana Hyderabad Latest News Entertainment World Andhra Pradesh Science Tech Sport follow 2022 TELANGANA PUBLICATIONS PVT. LTD. . Powered Veegam
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1
4,098
https://telecom.economictimes.indiatimes.com/amp/news/internet/artificial-intelligence-market-faces-review-from-uk-watchdog/99990484
2023-05-04T00:00:00
en
AI: Artificial intelligence market faces review from UK watchdog, ET Telecom
AI: Artificial intelligence market faces review from UK watchdog, ET Telecom Get App Home News Exclusives Events Awards More Login Go Leaders Speak Webinars Satcom Industry Policy Telecom Equipment Enterprise Services Devices Mobile Apps Tele-Talk Jobs & Careers Tele-Stats Smartphone MasterClasses Newsletters About Us Contact Us ETTelecom 5G Congress 2023 Bringing the industry leaders, policymakers and regulatory officials together to discuss the roadmap of 5G. World Telecommunication Day ETTelecom brings you a series of virtual roundtables on the industry’s roadmap for 5G. Digital Telco Summit 2022 With telecom carriers launching the commercial 5G services in close collaboration with technology providers, it is high time to bring the enterprise business to centrestage with next generation-centric strategies together with IT infrastructure compa Internet 1 min read Artificial intelligence market faces review from UK watchdog The Competition Markets Authority said it will look into the opportunities and risks of AI as well as the competition rules and consumer protections that may be needed. AP Updated On May 4, 2023 at 06:05 PM IST Artificial intelligence market faces review from UK watchdogBritain's competition watchdog said Thursday that it's opening a review of the artificial intelligence market, focusing on the technology underpinning chatbots like ChatGPT. The Competition Markets Authority said it will look into the opportunities and risks of AI as well as the competition rules and consumer protections that may be needed. Advt AI's ability to mimic human behavior has dazzled users but also drawn attention from regulators and experts around the world concerned about its dangers as its use mushrooms - affecting jobs, copyright, education, privacy and many other parts of life. The CEOs of Google, Microsoft and ChatGPT-maker OpenAI will meet Thursday with U.S. Vice President Kamala Harris for talks on how to ease the risks of their technology. And European Union negotiators are putting the finishing touches on sweeping new AI rules. continued below Event World Telecommunication Day ETTelecom brings you a series of virtual roundtables on the industry’s roadmap for 5G. Tue, 16 May 2023 Virtual Register Now 10 Speakers Show More The U.K. watchdog said the goal of the review is to help guide the development of AI to ensure open and competitive markets that don't end up being unfairly dominated by a few big players. Artificial intelligence "has the potential to transform the way businesses compete as well as drive substantial economic growth," CMA Chief Executive Sarah Cardell said. "It's crucial that the potential benefits of this transformative technology are readily accessible to U.K. businesses and consumers while people remain protected from issues like false or misleading information." Advt The authority will examine competition and barriers to entry in the development of foundation models. Also known as large language models, they're a sub-category of general purpose AI that includes systems like ChatGPT. The algorithms these models use are trained on vast pools of online information like blog posts and digital books to generate text and images that resemble human work, but they still face limitations including a tendency to fabricate information. AP Published On May 4, 2023 at 06:04 PM IST Most Read in Internet Hype unveils generative AI-powered e-commerce SaaS Google took action against over 3,500 loan apps in India for violating norms in 2022 'The Godfather of AI' leaves Google and warns of danger ahead Amazon's cloud warning rattles investors Join the community of 2M+ industry professionals Subscribe to our newsletter to get latest insights & analysis. Enter Email Download ETTelecom App Get Realtime updates Save your favourite articles AI microsoft google european union competition markets authority openai internet artificial intelligence News See whats happening in Telecom sector right now Exclusive Read and get insights from specially curated unique stories from editorial Leaders Speak Business leaders sharing their insights Events Explore and discuss challenges & trends in India's leading B2B events Awards Recognise work that not only stood out but was also purposeful Webinars Join leaders & experts for roundtables, conferences, panels and discussions Join the community of 2M+ industry professionals Subscribe to our Daily, Weekly, and Evening NewsLetter, Take a look By continuing you agree to our Privacy Policy & Terms & Conditions News Leaders Speak Exclusive Events Awards Webinars Newsletters About Us Contact Us RSS Feed Sitemap Advertise With Us We have various options to advertise with us including Events, Advertorials, Banners, Mailers, etc. Contact Us Download ETTelecom App Save your favourite articles with seamless reading experience Follow us for the latest news ET Business Verticals India Auto Retail Health Energy CIO Real Estate Marketing & Advertising CFO IT Security BFSI Government Hospitality HR Legal ET TravelWorld Infra B2B CIOSEA HRSEA HRME Trending OneWeb Starlink Satcom ISRO ISPA SpaceX @2023 ETTelecom.com. All Right Reserved. Privacy Policy Terms and Conditions
AI: Artificial intelligence market faces review from UK watchdog, ET Telecom
AI: Artificial intelligence market faces review UK watchdog, ET Telecom Get App Home News Exclusives Events Awards More Go Leaders Speak Webinars Satcom Industry Policy Telecom Equipment Enterprise Services Devices Mobile Apps TeleTalk Jobs Careers TeleStats Smartphone MasterClasses Newsletters Us ETTelecom 5G Congress 2023 Bringing industry leaders, policymakers regulatory officials discuss roadmap 5G. World Telecommunication Day ETTelecom brings series virtual roundtables industrys roadmap 5G. Digital Telco Summit 2022 With telecom carriers launching commercial 5G services close collaboration technology providers, high time bring enterprise business centrestage generationcentric strategies IT infrastructure compa Internet 1 min read Artificial intelligence market faces review UK watchdog The Competition Markets Authority said look opportunities risks AI competition rules consumer protections needed. AP Updated On May 4, 2023 06:05 PM IST Artificial intelligence market faces review UK watchdogBritains competition watchdog said Thursday opening review artificial intelligence market, focusing technology underpinning chatbots like ChatGPT. The Competition Markets Authority said look opportunities risks AI competition rules consumer protections needed. Advt AIs ability mimic human behavior dazzled users drawn attention regulators experts world concerned dangers use mushrooms affecting jobs, copyright, education, privacy parts life. The CEOs Google, Microsoft ChatGPTmaker OpenAI meet Thursday U.S. Vice President Kamala Harris talks ease risks technology. And European Union negotiators putting finishing touches sweeping new AI rules. continued Event World Telecommunication Day ETTelecom brings series virtual roundtables industrys roadmap 5G. Tue, 16 May 2023 Virtual Now 10 Speakers Show More The U.K. watchdog said goal review help guide development AI ensure open competitive markets dont end unfairly dominated big players. Artificial intelligence potential transform way businesses compete drive substantial economic growth, CMA Chief Executive Sarah Cardell said. Its crucial potential benefits transformative technology readily accessible U.K. businesses consumers people remain protected issues like false misleading information. Advt The authority examine competition barriers entry development foundation models. Also known large language models, theyre subcategory general purpose AI includes systems like ChatGPT. The algorithms models use trained vast pools online information like blog posts digital books generate text images resemble human work, face limitations including tendency fabricate information. AP Published On May 4, 2023 06:04 PM IST Most Read Internet Hype unveils generative AIpowered ecommerce SaaS Google took action 3,500 loan apps India violating norms 2022 The Godfather AI leaves Google warns danger ahead Amazons cloud warning rattles investors Join community 2M industry professionals newsletter latest insights analysis. Enter Email Download ETTelecom App Get Realtime updates Save favourite articles AI microsoft google european union competition markets authority openai internet artificial intelligence News See whats happening Telecom sector right Exclusive Read insights specially curated unique stories editorial Leaders Speak Business leaders sharing insights Events Explore discuss challenges trends Indias leading B2B events Awards Recognise work stood purposeful Webinars Join leaders experts roundtables, conferences, panels discussions Join community 2M industry professionals Daily, Weekly, Evening NewsLetter, Take look By continuing agree Terms Conditions News Leaders Speak Exclusive Events Awards Webinars Newsletters Us RSS Feed Sitemap Advertise With Us We options advertise including Events, Advertorials, Banners, Mailers, etc. Us Download ETTelecom App Save favourite articles seamless reading experience Follow latest news ET Business Verticals India Auto Retail Health Energy CIO Real Estate Marketing Advertising CFO IT Security BFSI Government Hospitality HR Legal ET TravelWorld Infra B2B CIOSEA HRSEA HRME Trending OneWeb Starlink Satcom ISRO ISPA SpaceX . All Right Reserved.
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4,099
https://thedailyrecord.com/2023/08/24/new-app-uses-computer-vision-to-id-golf-balls/
2023-08-24T00:00:00
en
New app uses computer vision to ID golf balls | Maryland Daily Record
New app uses computer vision to ID golf balls | Maryland Daily Record Please ensure Javascript is enabled for purposes of website accessibility Skip to content Select Region or Brand Business Charleston, SC Columbia, SC Greenville, SC Idaho Pennsylvania Lehigh Valley, PA Long Island, NY Mecklenburg, NC Minnesota New Jersey New Orleans, LA Oklahoma City, OK Rochester, NY South Carolina Color Magazine Pet Age Legal Arizona Maryland Massachussetts Michigan Minnesota Missouri New York North Carolina South Carolina Wisconsin Rhode Island Virginia Construction Milwaukee, WI Oregon Home Furnishings Designers Today Furniture Today Gifts & Decorative Accessories Home Accents Today Home Furnishings News Home Textiles Today Manage account Manage Your Print or Online Subscription Manage Your Email Subscription Sign In Upcoming Event Virtual Panel Discussions Free Newsletter Subscribe Law Business Govt Events Public Notice Legal Jobs Digital Editions Special Products Reader Rankings Advertise Advertising & Marketing Tips Connect with Decision-Makers and Buyers and Grow Your Business Omnichannel Marketing Guide Free Guide Event Sponsorship Media Kit Reprints Law News Law News Law Digest Recent Unreported Opinions Unreported Opinions Database Appellate Courts Trial Courts Practice Criminal Law Maryland Family Law Update Submit Verdicts & Settlements Events Best Companies to Work for in Maryland Diversity, Equity, & Inclusion Summit Empowering Women Eye on Annapolis Summit Health Care Heroes Icon Honors Influential Marylanders Leaders in Law Leading Women Under 40 Most Admired CEOs Reader Rankings Top 100 Women Veterans in Business & Law Women’s Leadership Summit Virtual Panel Discussions Awards Databases Business News Business News Real Estate Health Care Education Economy Technology Off the Record with Sloane Brown The Business Album Sections & Products Digital Editions Movers & Shakers Submit a Mover Montgomery County Maryland Family Law Update Women’s Perspectives Power Lists Featured Publications Event Publications Annual Publications About & Contact About Us Contact Us Email Alerts Send a News Tip Purchase Photos Plaques & Permissions Back Issues Calendar Where to Find the Paper Resources Submit a Mover Submit Verdicts & Settlements Lawyer to Lawyer Referrals Maryland Legal Jobs Careers at The Daily Record Advertising Advertising & Marketing Tips Advertise With Us Omnichannel Marketing Guide Free E-Guide Event Sponsorship Media Kit Commentary Commentary Columns Editorial Advisory Board Multimedia Virtual Panel Discussions Women’s Perspectives Podcast Off the Record with Sloane Brown Government Government News Annapolis New app uses computer vision to ID golf balls Daily Record Staff//August 24, 2023 Home>maryland news>New app uses computer vision to ID golf balls New app uses computer vision to ID golf balls By Daily Record Staff//August 24, 2023 SMGB Technologies LLC, a Melbourne, Florida-based company with operations in Westminster, launched ScanMyGolfBall, its flagship smartphone app which uses artificial intelligence and computer vision to help golfers identify the best golf balls for their individual level of play. Tim Chase, CEO of SMGB Technologies, is the founder and chairman of WMS Partners, a wealth management firm based in Towson. He developed the golf ball database over the past several years and then partnered with technologist and fellow golfer Graham Dodge to create the patent-pending computer vision application.  Dodge is the top executive for two technology development nonprofits, founder of a robotics makerspace in Maryland and a mentor-in-residence at Johns Hopkins Technology Ventures. ScanMyGolfBall allows users to point their smartphone camera at the golf ball for details about greenstopping spin, drive distance, compression and construction, which is paired with a ball fitting tool that understands how each player’s level of game fits with the scanned ball for more than 300 known golf balls in circulation in the new and secondary markets. The app will also make recommendations about which currently manufactured golf balls are a best fit for that golfer. - Share this! 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New app uses computer vision to ID golf balls
New app uses vision ID golf balls Maryland Daily Record Please ensure Javascript enabled purposes website accessibility Skip content Select Region Brand Business Charleston, SC Columbia, SC Greenville, SC Idaho Pennsylvania Lehigh Valley, PA Long Island, NY Mecklenburg, NC Minnesota New Jersey New Orleans, LA Oklahoma City, OK Rochester, NY South Carolina Color Magazine Pet Age Legal Arizona Maryland Massachussetts Michigan Minnesota Missouri New York North Carolina South Carolina Wisconsin Rhode Island Virginia Construction Milwaukee, WI Oregon Home Furnishings Designers Today Furniture Today Gifts Decorative Accessories Home Accents Today Home Furnishings News Home Textiles Today Manage account Manage Your Print Online Subscription Manage Your Email Subscription Upcoming Event Virtual Panel Discussions Free Newsletter Law Business Govt Events Public Notice Legal Jobs Digital Editions Special Products Reader Rankings Advertise Advertising Marketing Tips Connect DecisionMakers Buyers Grow Your Business Omnichannel Marketing Guide Free Guide Event Sponsorship Media Kit Reprints Law News Law News Law Digest Recent Unreported Opinions Unreported Opinions Database Appellate Courts Trial Courts Practice Criminal Law Maryland Family Law Update Submit Verdicts Settlements Events Best Companies Work Maryland Diversity, Equity, lusion Summit Empowering Women Eye Annapolis Summit Health Care Heroes Icon Honors Influential Marylanders Leaders Law Leading Women Under 40 Most Admired CEOs Reader Rankings Top 100 Women Veterans Business Law Womens Leadership Summit Virtual Panel Discussions Awards Databases Business News Business News Real Estate Health Care Education Economy Technology Off Record Sloane Brown The Business Album Sections Products Digital Editions Movers Shakers Submit Mover Montgomery County Maryland Family Law Update Womens Perspectives Power Lists Featured Publications Event Publications Annual Publications About Us Email Alerts Send News Tip Purchase Photos Plaques Permissions Back Issues Calendar Where Find Paper Resources Submit Mover Submit Verdicts Settlements Lawyer Lawyer Referrals Maryland Legal Jobs Careers The Daily Record Advertising Advertising Marketing Tips Advertise With Us Omnichannel Marketing Guide Free EGuide Event Sponsorship Media Kit Commentary Commentary Columns Editorial Advisory Board Multimedia Virtual Panel Discussions Womens Perspectives Podcast Off Record Sloane Brown Government Government News Annapolis New app uses vision ID golf balls Daily Record StaffAugust 24, 2023 Home>maryland news>New app uses vision ID golf balls New app uses vision ID golf balls By Daily Record StaffAugust 24, 2023 SMGB Technologies LLC, Melbourne, Floridabased company operations Westminster, launched ScanMyGolfBall, flagship smartphone app uses artificial intelligence vision help golfers identify best golf balls individual level play. Tim Chase, CEO SMGB Technologies, founder chairman WMS Partners, wealth management firm based Towson. He developed golf ball database past years partnered technologist fellow golfer Graham Dodge create patentpending vision application. Dodge executive technology development nonprofits, founder robotics makerspace Maryland mentorinresidence Johns Hopkins Technology Ventures. ScanMyGolfBall allows users point smartphone camera golf ball details greenstopping spin, drive distance, compression construction, paired ball fitting tool understands players level game fits scanned ball 300 known golf balls circulation new secondary markets. The app recommendations currently manufactured golf balls best fit golfer. 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https://theenterpriseleader.com/2021/12/25/vectorspace-ai-vxv-tops-24-hour-trading-volume-of-622028-00.html
2021-12-25T00:00:00
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Vectorspace AI (VXV) Tops 24 Hour Trading Volume of $622,028.00 - Enterprise Leader
Vectorspace AI (VXV) Tops 24 Hour Trading Volume of $622,028.00 - Enterprise Leader Skip to main content Home Privacy Policy About/Contact ☰ Business Economy Health Markets Technology Home Privacy Policy About/Contact Business Economy Health Markets Technology Vectorspace AI (VXV) Tops 24 Hour Trading Volume of $622,028.00 Posted by Martin Roberts on Dec 25th, 2021 Share on Twitter Share on Facebook Share on LinkedIn Share on Stocktwits Vectorspace AI (CURRENCY:VXV) traded 2% lower against the US dollar during the 24 hour period ending at 11:00 AM Eastern on December 25th. In the last seven days, Vectorspace AI has traded down 9.6% against the US dollar. Vectorspace AI has a total market cap of $170.74 million and approximately $622,028.00 worth of Vectorspace AI was traded on exchanges in the last 24 hours. One Vectorspace AI coin can now be bought for approximately $4.40 or 0.00008682 BTC on cryptocurrency exchanges. Here’s how other cryptocurrencies have performed in the last 24 hours: Get Vectorspace AI alerts: HEX (HEX) traded down 3.4% against the dollar and now trades at $0.30 or 0.00000587 BTC. Quant (QNT) traded up 1.9% against the dollar and now trades at $197.15 or 0.00388739 BTC. Zilliqa (ZIL) traded 0.7% higher against the dollar and now trades at $0.0737 or 0.00000145 BTC. MXC (MXC) traded up 3.3% against the dollar and now trades at $0.0534 or 0.00000105 BTC. PARSIQ (PRQ) traded down 1.4% against the dollar and now trades at $0.46 or 0.00000911 BTC. DXdao (DXD) traded 6.9% higher against the dollar and now trades at $640.18 or 0.01262299 BTC. Earneo (RNO) traded 1.3% lower against the dollar and now trades at $0.0514 or 0.00000101 BTC. Receive Access Ecosystem (RAE) traded up 2.1% against the dollar and now trades at $1.84 or 0.00003625 BTC. Qubitica (QBIT) traded 75.5% lower against the dollar and now trades at $11.94 or 0.00025016 BTC. Egoras Dollar (EUSD) traded 3.5% lower against the dollar and now trades at $1.15 or 0.00003616 BTC. About Vectorspace AI Vectorspace AI is a coin. Vectorspace AI’s total supply is 50,000,000 coins and its circulating supply is 38,779,374 coins. Vectorspace AI’s official Twitter account is @Vectorspace_AI and its Facebook page is accessible here. The Reddit community for Vectorspace AI is https://reddit.com/r/VectorspaceAI and the currency’s Github account can be viewed here. Vectorspace AI’s official website is vectorspace.ai. According to CryptoCompare, “The Vectorspace AI platform enables dynamically generated smart “token baskets” based on user-selected trends that exist in search, social media and news. The reason It has included the word ‘smart’ is based on the ability for these baskets to determine for themselves whether or not to include additional cryptocurrencies or components from related baskets that may increase overall returns. Baskets that interact this way with one another will conduct these kinds of transactions between one another using the Vectorspace utility token, VXV which is also required to dynamically generate baskets. “ Buying and Selling Vectorspace AI It is usually not presently possible to purchase alternative cryptocurrencies such as Vectorspace AI directly using US dollars. Investors seeking to trade Vectorspace AI should first purchase Ethereum or Bitcoin using an exchange that deals in US dollars such as Changelly, Coinbase or GDAX. Investors can then use their newly-acquired Ethereum or Bitcoin to purchase Vectorspace AI using one of the exchanges listed above. Receive News & Updates for Vectorspace AI Daily - Enter your email address below to receive a concise daily summary of the latest news and updates for Vectorspace AI and related cryptocurrencies with MarketBeat.com's FREE CryptoBeat newsletter. « PREVIOUS HEADLINEeosDAC Price Up 64.4% This Week (EOSDAC) You might be interested in: Vectorspace AI Tops 24 Hour Trading Volume of $622,028.00 eosDAC Price Up 64.4% This Week Mint Club Hits Market Cap of $26.39 Million Cleveland-Cliffs Inc. Expected to Announce Earnings of $2.06 Per Share Front Row Advisors LLC Has $35,000 Stock Position in Raymond James Doliver Advisors LP Has $5.48 Million Stake in Meta Platforms Inc. Daily Ratings & News for Vectorspace AI Complete the form below to receive the latest headlines and analysts' recommendations for Vectorspace AI with our free daily email newsletter: Follow @EnterpriseLeade Recent News Vectorspace AI (VXV) Tops 24 Hour Trading Volume of $622,028.00 eosDAC Price Up 64.4% This Week (EOSDAC) Mint Club (MINT) Hits Market Cap of $26.39 Million Cleveland-Cliffs Inc. (NYSE:CLF) Expected to Announce Earnings of $2.06 Per Share Front Row Advisors LLC Has $35,000 Stock Position in Raymond James (NYSE:RJF) Doliver Advisors LP Has $5.48 Million Stake in Meta Platforms Inc. (NASDAQ:FB) IDEXX Laboratories, Inc. (NASDAQ:IDXX) Position Increased by Front Row Advisors LLC iShares Edge MSCI Min Vol USA ETF (BATS:USMV) Shares Sold by 6 Meridian Stoneridge Investment Partners LLC Takes $429,000 Position in Micron Technology, Inc. (NASDAQ:MU) Vanguard Dividend Appreciation ETF (NYSEARCA:VIG) Shares Sold by Bluesphere Advisors LLC FedEx Co. (NYSE:FDX) Shares Acquired by Bluesphere Advisors LLC Elo Mutual Pension Insurance Co Lowers Stock Holdings in Cigna Co. (NYSE:CI) Stanley Laman Group Ltd. Buys 543 Shares of Intuit Inc. (NASDAQ:INTU) Ridgecrest Wealth Partners LLC Has $673,000 Holdings in Bristol-Myers Squibb (NYSE:BMY) Retirement Systems of Alabama Decreases Stock Position in Skyworks Solutions, Inc. (NASDAQ:SWKS) Citigroup Inc. (NYSE:C) Shares Sold by Retirement Systems of Alabama Retirement Systems of Alabama Sells 94,370 Shares of Cisco Systems, Inc. (NASDAQ:CSCO) CUE Protocol Price Hits $15.86 on Exchanges (CUE) Bank of America Co. (NYSE:BAC) Shares Sold by Elo Mutual Pension Insurance Co Zacks: Brokerages Expect Silk Road Medical, Inc (NASDAQ:SILK) to Post -$0.40 EPS Business Economy Health Markets Technology © 2018-2021 Enterprise Leader
Vectorspace AI (VXV) Tops 24 Hour Trading Volume of $622,028.00
Vectorspace AI VXV Tops 24 Hour Trading Volume 622,028.00 Enterprise Leader Skip main content Home About Business Economy Health Markets Technology Home About Business Economy Health Markets Technology Vectorspace AI VXV Tops 24 Hour Trading Volume 622,028.00 Posted Martin Roberts Dec 25th, 2021 Share Twitter Share Facebook Share LinkedIn Share Stocktwits Vectorspace AI CURRENCY:VXV traded 2 lower US dollar 24 hour period ending 11:00 AM Eastern December 25th. In seven days, Vectorspace AI traded 9.6 US dollar. Vectorspace AI total market cap 170.74 million approximately 622,028.00 worth Vectorspace AI traded exchanges 24 hours. One Vectorspace AI coin bought approximately 4.40 0.00008682 BTC cryptocurrency exchanges. Heres cryptocurrencies performed 24 hours: Get Vectorspace AI alerts: HEX HEX traded 3.4 dollar trades 0.30 0.00000587 BTC. Quant QNT traded 1.9 dollar trades 197.15 0.00388739 BTC. Zilliqa ZIL traded 0.7 higher dollar trades 0.0737 0.00000145 BTC. MXC MXC traded 3.3 dollar trades 0.0534 0.00000105 BTC. PARSIQ PRQ traded 1.4 dollar trades 0.46 0.00000911 BTC. DXdao DXD traded 6.9 higher dollar trades 640.18 0.01262299 BTC. Earneo RNO traded 1.3 lower dollar trades 0.0514 0.00000101 BTC. Receive Access Ecosystem RAE traded 2.1 dollar trades 1.84 0.00003625 BTC. Qubitica QBIT traded 75.5 lower dollar trades 11.94 0.00025016 BTC. Egoras Dollar EUSD traded 3.5 lower dollar trades 1.15 0.00003616 BTC. About Vectorspace AI Vectorspace AI coin. Vectorspace AIs total supply 50,000,000 coins circulating supply 38,779,374 coins. Vectorspace AIs official Twitter account Facebook accessible here. The Reddit community Vectorspace AI currencys Github account viewed here. Vectorspace AIs official website vectorspace.ai. According CryptoCompare, The Vectorspace AI platform enables dynamically generated smart token baskets based userselected trends exist search, social media news. The reason It included word smart based ability baskets determine include additional cryptocurrencies components related baskets increase overall returns. Baskets interact way conduct kinds transactions Vectorspace utility token, VXV required dynamically generate baskets. Buying Selling Vectorspace AI It usually presently possible purchase alternative cryptocurrencies Vectorspace AI directly US dollars. Investors seeking trade Vectorspace AI purchase Ethereum Bitcoin exchange deals US dollars Changelly, Coinbase GDAX. Investors use newlyacquired Ethereum Bitcoin purchase Vectorspace AI exchanges listed above. Receive News Updates Vectorspace AI Daily Enter email address receive concise daily summary latest news updates Vectorspace AI related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUS HEADLINEeosDAC Price Up 64.4 This Week EOSDAC You interested in: Vectorspace AI Tops 24 Hour Trading Volume 622,028.00 eosDAC Price Up 64.4 This Week Mint Club Hits Market Cap 26.39 Million ClevelandCliffs . Expected Announce Earnings 2.06 Per Share Front Row Advisors LLC Has 35,000 Stock Position Raymond James Doliver Advisors LP Has 5.48 Million Stake Meta Platforms . Daily Ratings News Vectorspace AI Complete form receive latest headlines analysts recommendations Vectorspace AI free daily email newsletter: Follow Recent News Vectorspace AI VXV Tops 24 Hour Trading Volume 622,028.00 eosDAC Price Up 64.4 This Week EOSDAC Mint Club MINT Hits Market Cap 26.39 Million ClevelandCliffs . NYSE:CLF Expected Announce Earnings 2.06 Per Share Front Row Advisors LLC Has 35,000 Stock Position Raymond James NYSE:RJF Doliver Advisors LP Has 5.48 Million Stake Meta Platforms . NASDAQ:FB IDEXX Laboratories, . NASDAQ:IDXX Position reased Front Row Advisors LLC iShares Edge MSCI Min Vol USA ETF BATS:USMV Shares Sold 6 Meridian Stoneridge Investment Partners LLC Takes 429,000 Position Micron Technology, . NASDAQ:MU Vanguard Dividend Appreciation ETF NYSEARCA:VIG Shares Sold Bluesphere Advisors LLC FedEx Co. NYSE:FDX Shares Acquired Bluesphere Advisors LLC Elo Mutual Pension Insurance Co Lowers Stock Holdings Cigna Co. NYSE:CI Stanley Laman Group Ltd. Buys 543 Shares Intuit . NASDAQ:INTU Ridgecrest Wealth Partners LLC Has 673,000 Holdings BristolMyers Squibb NYSE:BMY Retirement Systems Alabama Decreases Stock Position Skyworks Solutions, . NASDAQ:SWKS Citigroup . NYSE:C Shares Sold Retirement Systems Alabama Retirement Systems Alabama Sells 94,370 Shares Cisco Systems, . NASDAQ:CSCO CUE Protocol Price Hits 15.86 Exchanges CUE Bank America Co. NYSE:BAC Shares Sold Elo Mutual Pension Insurance Co Zacks: Brokerages Expect Silk Road Medical, NASDAQ:SILK Post 0.40 EPS Business Economy Health Markets Technology 20182021 Enterprise Leader
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https://theenterpriseleader.com/2023/08/18/soundhound-ai-nasdaqsoun-stock-price-up-8-2.html
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SoundHound AI (NASDAQ:SOUN) Stock Price Up 8.2% - Enterprise Leader
SoundHound AI (NASDAQ:SOUN) Stock Price Up 8.2% - Enterprise Leader Skip to main content Home Account Privacy Policy About/Contact ☰ Business Economy Health Markets Technology Home Account Privacy Policy About/Contact Business Economy Health Markets Technology SoundHound AI (NASDAQ:SOUN) Stock Price Up 8.2% Posted by Maurice Goldstein on Aug 18th, 2023 Share on Twitter Share on Facebook Share on LinkedIn Share on Stocktwits SoundHound AI, Inc. (NASDAQ:SOUN – Get Free Report) rose 8.2% during trading on Wednesday . The company traded as high as $2.57 and last traded at $2.51. Approximately 5,407,621 shares traded hands during trading, a decline of 64% from the average daily volume of 14,999,142 shares. The stock had previously closed at $2.32. Analysts Set New Price Targets Separately, Cantor Fitzgerald cut their target price on shares of SoundHound AI from $6.20 to $4.20 and set an “overweight” rating on the stock in a research report on Wednesday, August 9th. Get SoundHound AI alerts: Get Our Latest Report on SOUN SoundHound AI Stock Performance The business’s 50-day moving average price is $3.17 and its 200-day moving average price is $2.91. The company has a current ratio of 4.70, a quick ratio of 1.28 and a debt-to-equity ratio of 4.80. The stock has a market cap of $475.12 million, a PE ratio of -4.13 and a beta of 0.70. SoundHound AI (NASDAQ:SOUN – Get Free Report) last issued its quarterly earnings data on Tuesday, August 8th. The company reported ($0.10) earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of ($0.12) by $0.02. The firm had revenue of $8.75 million during the quarter, compared to analysts’ expectations of $8.07 million. During the same period in the previous year, the firm earned ($0.19) EPS. The firm’s quarterly revenue was up 42.2% on a year-over-year basis. As a group, equities research analysts expect that SoundHound AI, Inc. will post -0.38 earnings per share for the current fiscal year. Insider Transactions at SoundHound AI In other SoundHound AI news, CEO Keyvan Mohajer sold 192,099 shares of the business’s stock in a transaction that occurred on Tuesday, June 20th. The shares were sold at an average price of $3.57, for a total transaction of $685,793.43. Following the sale, the chief executive officer now owns 882,901 shares of the company’s stock, valued at approximately $3,151,956.57. The transaction was disclosed in a legal filing with the SEC, which can be accessed through the SEC website. In other SoundHound AI news, CTO Timothy Stonehocker sold 50,000 shares of the business’s stock in a transaction that occurred on Tuesday, June 13th. The shares were sold at an average price of $3.12, for a total transaction of $156,000.00. Following the sale, the chief technology officer now owns 984,303 shares of the company’s stock, valued at approximately $3,071,025.36. The transaction was disclosed in a legal filing with the SEC, which can be accessed through the SEC website. Also, CEO Keyvan Mohajer sold 192,099 shares of the business’s stock in a transaction that occurred on Tuesday, June 20th. The stock was sold at an average price of $3.57, for a total transaction of $685,793.43. Following the sale, the chief executive officer now directly owns 882,901 shares in the company, valued at approximately $3,151,956.57. The disclosure for this sale can be found here. Insiders have sold a total of 480,173 shares of company stock valued at $1,792,647 in the last 90 days. Insiders own 21.30% of the company’s stock. Institutional Trading of SoundHound AI Institutional investors and hedge funds have recently bought and sold shares of the business. Metropolitan Life Insurance Co NY acquired a new stake in SoundHound AI during the 2nd quarter valued at approximately $36,000. Royal Bank of Canada raised its position in SoundHound AI by 520.7% during the second quarter. Royal Bank of Canada now owns 8,690 shares of the company’s stock worth $40,000 after acquiring an additional 7,290 shares during the period. Ausdal Financial Partners Inc. acquired a new position in SoundHound AI during the second quarter worth $46,000. Pekin Hardy Strauss Inc. acquired a new position in SoundHound AI during the second quarter worth $46,000. Finally, Cetera Investment Advisers acquired a new position in SoundHound AI during the second quarter worth $46,000. 25.49% of the stock is currently owned by institutional investors and hedge funds. SoundHound AI Company Profile (Get Free Report) SoundHound AI, Inc develops independent voice artificial intelligence (AI) platform that enables businesses across industries to deliver high-quality conversational experiences to their customers. Its products include Houndify platform that offers a suite of Houndify tools to help brands build conversational voice assistants, such as automatic speech recognition, natural language understanding, wake words, custom domains, text-to-speech, and embedded voice solutions SoundHound AI, Inc was founded in 2005 and is headquartered in Santa Clara, California. See Also Five stocks we like better than SoundHound AI Earnings Per Share Calculator: How to Calculate EPS 3 Stocks Wrongfully Punished For Raising Guidance How to Calculate Retirement Income: MarketBeat’s Calculator Institutions Shop For This High-Yield Value And Sell Another  What Are Meme Stocks and Are They Viable Investments? Did Tapestry Just Become A Dip Buying Opportunity? Receive News & Ratings for SoundHound AI Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for SoundHound AI and related companies with MarketBeat.com's FREE daily email newsletter. « PREVIOUS HEADLINEHead-To-Head Contrast: Otsuka (OTCMKTS:OSUKF) & Arrow Electronics (NYSE:ARW) NEXT HEADLINE »Holley (NYSE:HLLY) Sees Large Volume Increase You might be interested in: Global Ship Lease, Inc. Sees Large Decrease in Short Interest Community Trust Bancorp, Inc. Short Interest Down 6.2% in July JD.com Issues Earnings Results Carver Bancorp, Inc. Sees Large Decline in Short Interest Synopsys Announces Earnings Results TJX Companies Updates Q4 2024 Earnings Guidance Daily Ratings & News for SoundHound AI Complete the form below to receive the latest headlines and analysts' recommendations for SoundHound AI with MarketBeat's free daily email newsletter: Follow @EnterpriseLeade Recent News Global Ship Lease, Inc. (NYSE:GSL) Sees Large Decrease in Short Interest Community Trust Bancorp, Inc. (NASDAQ:CTBI) Short Interest Down 6.2% in July JD.com (NASDAQ:JD) Issues Earnings Results Carver Bancorp, Inc. (NASDAQ:CARV) Sees Large Decline in Short Interest Synopsys (NASDAQ:SNPS) Announces Earnings Results TJX Companies (NYSE:TJX) Updates Q4 2024 Earnings Guidance Wärtsilä Oyj Abp (OTCMKTS:WRTBY) Plans Dividend of $0.03 InterRent REIT (IIP) To Go Ex-Dividend on August 30th Ryder Capital Limited (ASX:RYD) Increases Dividend to $0.04 Per Share Allspring Multi-Sector Income Fund to Issue Dividend of $0.07 (NYSEAMERICAN:ERC) Orchid Island Capital, Inc. (NYSE:ORC) to Issue Monthly Dividend of $0.16 Boardwalk Real Estate Investment Trust (OTCMKTS:BOWFF) Price Target Increased to C$76.00 by Analysts at Scotiabank Netlist (OTCMKTS:NLST) Now Covered by Analysts at StockNews.com Capital Power (TSE:CPX) Price Target Increased to C$57.00 by Analysts at CSFB SpareBank 1 SMN (OTCMKTS:SRMGF) Downgraded by Pareto Securities to “Hold” E.On (OTCMKTS:EONGY) Upgraded at HSBC Worldcoin (WLD) Price Hits $1.51 Energy Web Token (EWT) Achieves Self Reported Market Cap of $104.13 Million Celo (CELO) Reaches Market Cap of $214.22 Million Bridge Oracle Price Reaches $0.0004 (BRG) Business Economy Health Markets Technology © 2018-2023 Enterprise Leader Enterprise Leader members receive the latest stock market news and a concise summary of new analysts' recommendations in a FREE daily email newsletter. Manage your account here. Sign Up With Google
SoundHound AI (NASDAQ:SOUN) Stock Price Up 8.2%
SoundHound AI NASDAQ:SOUN Stock Price Up 8.2 Enterprise Leader Skip main content Home Account About Business Economy Health Markets Technology Home Account About Business Economy Health Markets Technology SoundHound AI NASDAQ:SOUN Stock Price Up 8.2 Posted Maurice Goldstein Aug 18th, 2023 Share Twitter Share Facebook Share LinkedIn Share Stocktwits SoundHound AI, . NASDAQ:SOUN Get Free Report rose 8.2 trading Wednesday . The company traded high 2.57 traded 2.51. Approximately 5,407,621 shares traded hands trading, decline 64 average daily volume 14,999,142 shares. The stock previously closed 2.32. Analysts Set New Price Targets Separately, Cantor Fitzgerald cut target price shares SoundHound AI 6.20 4.20 set overweight rating stock research report Wednesday, August 9th. Get SoundHound AI alerts: Get Our Latest Report SOUN SoundHound AI Stock Performance The businesss 50day moving average price 3.17 200day moving average price 2.91. The company current ratio 4.70, quick ratio 1.28 debttoequity ratio 4.80. The stock market cap 475.12 million, PE ratio 4.13 beta 0.70. SoundHound AI NASDAQ:SOUN Get Free Report issued quarterly earnings data Tuesday, August 8th. The company reported 0.10 earnings share EPS quarter, topping analysts consensus estimates 0.12 0.02. The firm revenue 8.75 million quarter, compared analysts expectations 8.07 million. During period previous year, firm earned 0.19 EPS. The firms quarterly revenue 42.2 yearoveryear basis. As group, equities research analysts expect SoundHound AI, . post 0.38 earnings share current fiscal year. Insider Transactions SoundHound AI In SoundHound AI news, CEO Keyvan Mohajer sold 192,099 shares businesss stock transaction occurred Tuesday, June 20th. The shares sold average price 3.57, total transaction 685,793.43. Following sale, chief executive officer owns 882,901 shares companys stock, valued approximately 3,151,956.57. The transaction disclosed legal filing SEC, accessed SEC website. In SoundHound AI news, CTO Timothy Stonehocker sold 50,000 shares businesss stock transaction occurred Tuesday, June 13th. The shares sold average price 3.12, total transaction 156,000.00. Following sale, chief technology officer owns 984,303 shares companys stock, valued approximately 3,071,025.36. The transaction disclosed legal filing SEC, accessed SEC website. Also, CEO Keyvan Mohajer sold 192,099 shares businesss stock transaction occurred Tuesday, June 20th. The stock sold average price 3.57, total transaction 685,793.43. Following sale, chief executive officer directly owns 882,901 shares company, valued approximately 3,151,956.57. The disclosure sale here. Insiders sold total 480,173 shares company stock valued 1,792,647 90 days. Insiders 21.30 companys stock. Institutional Trading SoundHound AI Institutional investors hedge funds recently bought sold shares business. Metropolitan Life Insurance Co NY acquired new stake SoundHound AI 2nd quarter valued approximately 36,000. Royal Bank Canada raised position SoundHound AI 520.7 second quarter. Royal Bank Canada owns 8,690 shares companys stock worth 40,000 acquiring additional 7,290 shares period. Ausdal Financial Partners . acquired new position SoundHound AI second quarter worth 46,000. Pekin Hardy Strauss . acquired new position SoundHound AI second quarter worth 46,000. Finally, Cetera Investment Advisers acquired new position SoundHound AI second quarter worth 46,000. 25.49 stock currently owned institutional investors hedge funds. SoundHound AI Company Profile Get Free Report SoundHound AI, develops independent voice artificial intelligence AI platform enables businesses industries deliver highquality conversational experiences customers. Its products include Houndify platform offers suite Houndify tools help brands build conversational voice assistants, automatic speech recognition, natural language understanding, wake words, custom domains, texttospeech, embedded voice solutions SoundHound AI, founded 2005 headquartered Santa Clara, California. See Also Five stocks like better SoundHound AI Earnings Per Share Calculator: How Calculate EPS 3 Stocks Wrongfully Punished For Raising Guidance How Calculate Retirement ome: MarketBeats Calculator Institutions Shop For This HighYield Value And Sell Another What Are Meme Stocks Are They Viable Investments? Did Tapestry Just Become A Dip Buying Opportunity? Receive News Ratings SoundHound AI Daily Enter email address receive concise daily summary latest news analysts ratings SoundHound AI related companies FREE daily email newsletter. PREVIOUS HEADLINEHeadToHead Contrast: Otsuka OTCMKTS:OSUKF Arrow Electronics NYSE:ARW NEXT HEADLINE Holley NYSE:HLLY Sees Large Volume rease You interested in: Global Ship Lease, . Sees Large Decrease Short Interest Community Trust Bancorp, . Short Interest Down 6.2 July Issues Earnings Results Carver Bancorp, . Sees Large Decline Short Interest Synopsys Announces Earnings Results TJX Companies Updates Q4 2024 Earnings Guidance Daily Ratings News SoundHound AI Complete form receive latest headlines analysts recommendations SoundHound AI MarketBeats free daily email newsletter: Follow Recent News Global Ship Lease, . NYSE:GSL Sees Large Decrease Short Interest Community Trust Bancorp, . NASDAQ:CTBI Short Interest Down 6.2 July NASDAQ:JD Issues Earnings Results Carver Bancorp, . NASDAQ:CARV Sees Large Decline Short Interest Synopsys NASDAQ:SNPS Announces Earnings Results TJX Companies NYSE:TJX Updates Q4 2024 Earnings Guidance Wrtsil Oyj Abp OTCMKTS:WRTBY Plans Dividend 0.03 InterRent REIT IIP To Go ExDividend August 30th Ryder Capital Limited ASX:RYD reases Dividend 0.04 Per Share Allspring MultiSector ome Fund Issue Dividend 0.07 NYSEAMERICAN:ERC Orchid Island Capital, . 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Global Artificial Intelligence In Iot Market 2025: 2Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, Amazon, AT & T, CISCO, ORACLE, HITACHI, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRep(LogMeIn), Ada Support, Astute Solutions, IDEAL.com, Wipro – The Market Eagle
Global Artificial Intelligence In Iot Market 2025: 2Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, Amazon, AT & T, CISCO, ORACLE, HITACHI, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRep(LogMeIn), Ada Support, Astute Solutions, IDEAL.com, Wipro – The Market Eagle Skip to content Thu. Mar 25th, 2021 The Market Eagle News Energy News Space All News Contact Energy Global Artificial Intelligence In Iot Market 2025: 2Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, Amazon, AT & T, CISCO, ORACLE, HITACHI, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRep(LogMeIn), Ada Support, Astute Solutions, IDEAL.com, Wipro Byanita_adroit Mar 25, 2021 Scope: Global Artificial Intelligence in IoT MarketThe global Artificial Intelligence in IoT market report covers the comprehensive analysis on all the important aspects that are associated with the market. The all the crucial information on the growth patterns of the market and the growth factors responsible for it is covered in research report. The market report also provides a detailed study of all the market restraints that affect the growth of the Artificial Intelligence in IoT market. The in-depth study of all the technological advancements in the global Artificial Intelligence in IoT industry is involved in the Artificial Intelligence in IoT market report. The insightful data on all the product launches across the globe is covered in the research report. The research report covers the full documentation of market size at different times. The detailed analysis on the past statistics of Artificial Intelligence in IoT market is covered in the report along with the prediction for future size of Artificial Intelligence in IoT in the forecasted period. Vendor Landscape and Profiling: Google Baidu IBM Microsoft SAP Intel Salesforce Brighterion Amazon AT & T CISCO ORACLE HITACHI KITT.AI IFlyTek Megvii Technology Albert Technologies H2O.ai Brainasoft Yseop Ipsoft NanoRep(LogMeIn) Ada Support Astute Solutions IDEAL.com Wipro We Have Recent Updates of Artificial Intelligence in IoT Market in Sample [email protected] https://www.orbismarketreports.com/sample-request/69329?utm_source=PoojaM The global Artificial Intelligence in IoT market research report also offers an insightful data regarding the major industrial events in the market over the years. These events include the major investments made in the sector, collaborations, innovations, mergers, etc. The report provides users with a detailed study on the Artificial Intelligence in IoT industry growth pattern. In addition to that, the detailed analysis of all the key growth drivers of the market growth and the restraints in also covered in the market research report. The research report on the Artificial Intelligence in IoT market includes the study of all the strategies involved in the growth process of the global market. Some of these strategies are such as data monitoring, Passion, Understanding of the potential customer base, Focus, communicating the value To Your Customers, etc. In order to keep the global markets growing at a robust pace the vendors and manufacturers need to follow these strategies. Product-based Segmentation: On-Premise Cloud-based Application-based Segmentation: Small & Medium Scale Business Large Scale Busines To read more about the study, read the complete description @ https://www.orbismarketreports.com/global-artificial-intelligence-in-iot-market-size-status-and-forecast-2019-2025-2?utm_source=PoojaM The report on the Artificial Intelligence in IoT industry provides a detailed analysis on the present market demands along with the data the prediction for future demands of the industry. The market report is recognized to be a thorough guide for the in-depth study of the Artificial Intelligence in IoT sector. The research report is complete guide to understand all the vital aspects related to market for the new entrants in the global Artificial Intelligence in IoT market. The research report on global Artificial Intelligence in IoT market covers a full documentation of study of all the segments of the market. The research report includes the information on all the strategic developments that have been made in the Artificial Intelligence in IoT sector over the years. The following is a complete run-down of geography-based analysis of Artificial Intelligence in IoT market: – North America (U.S., Canada, Mexico)– Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)– Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)– Latin America (Brazil, Rest of L.A.)– Middle East and Africa (Turkey, GCC, Rest of Middle East) Make an Enquiry for purchasing this Report @ https://www.orbismarketreports.com/enquiry-before-buying/69329?utm_source=PoojaM About Us : With unfailing market gauging skills, has been excelling in curating tailored business intelligence data across industry verticals. Constantly thriving to expand our skill development, our strength lies in dedicated intellectuals with dynamic problem solving intent, ever willing to mold boundaries to scale heights in market interpretation. Contact Us : Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155 https://themarketeagle.com/ Post navigation Global Day Trading Software Market 2025: Plus500, Avatrade, XM Global Limited, Trading 212, BDSwiss, Binary, XTB, eToro, Vantage FX, SpreadEx, FXCM, Ayondo, NordFX, Zulutrade, Invest, Forex, Hithink Flush Information Network Global It Project Management Software Market 2025: Monday, Nulab, Wrike, Clubhouse, Conceptboard, Zoho Sprints, Airfocus, Freshworks, Ganttpro, Bitrix, Meisterlabs, Kitovu, Logic Software, Harmony Business Systems, Asana, Atlassian, Clickup, Workfront, Targetprocess, Favro, Projectmanager, Avaza Software, Proactive Software, Appfluence, Celoxis Technologies, Workotter By anita_adroit Related Post All News Energy News Space Time Tracking Software Market 2021-2026 with Major Key Player: ClickTime,Time Doctor,ProWorkflow,Workfront,ConnectWise Manage,RemoteDesk, Mavenlink,Zoho Projects,Clarizen Mar 25, 2021 aryan All News Energy News Space Business Process Outsourcing (BPO) Market 2021-2026 with Major Key Player: Aon plc,HR Solutions,QuisLex, Inc.,Genpact,KPMG,IBM,Peninsula,Accenture plc,Capgemini SE,Hewlett-Packard Co. Mar 25, 2021 aryan All News Energy News Space Photography Drone Market Report 2021: Acute Analysis of Global Demand and Supply 2026 with Major Key Player:Aerobo (US), Airware (US), Cyberhawk (UK), Deveron UAS (Canada), DroneDeploy (US), Identified Technologies (US), Measure Mar 25, 2021 aryan Recent Posts COVID-19 Impact on Soil Compaction Machines Market Size, Top Key Players, Latest Trends, Regional Insights and Global Industry Dynamics By 2028 Impact of COVID-19 on Aircraft Towbars Market Top Companies Analysis to Grow Your Business by 2028, Fact.MR Vehicle Wash System Market- Global Opportunity Analysis and Industry Forecast to 2026 Compact Track Loader Market Report Examines Unique Top Company Analysis by 2028 | Caterpillar Inc, Deere & Co., Komatsu Ltd Undercarriage Components Market Opportunities and Growth Rate With COVID-19 Impact Study | Fact.MR Archives March 2021 February 2021 January 2021 December 2020 November 2020 Categories All News Energy News Space Meta Log in Entries feed Comments feed WordPress.org You missed News COVID-19 Impact on Soil Compaction Machines Market Size, Top Key Players, Latest Trends, Regional Insights and Global Industry Dynamics By 2028 Mar 25, 2021 neha.b News Impact of COVID-19 on Aircraft Towbars Market Top Companies Analysis to Grow Your Business by 2028, Fact.MR Mar 25, 2021 neha.b News Vehicle Wash System Market- Global Opportunity Analysis and Industry Forecast to 2026 Mar 25, 2021 neha.b News Compact Track Loader Market Report Examines Unique Top Company Analysis by 2028 | Caterpillar Inc, Deere & Co., Komatsu Ltd Mar 25, 2021 neha.b The Market Eagle News Proudly powered by WordPress | Theme: Newsup by Themeansar. 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Global Artificial Intelligence In Iot Market 2025: 2Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, Amazon, AT & T, CISCO, ORACLE, HITACHI, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRep(LogMeIn), Ada Support, Astute Solutions, IDEAL.com, Wipro
Global Artificial Intelligence In Iot Market 2025: 2Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, Amazon, AT T, CISCO, ORACLE, HITACHI, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRepLogMeIn, Ada Support, Astute Solutions, , Wipro The Market Eagle Skip content Thu. Mar 25th, 2021 The Market Eagle News Energy News Space All News Energy Global Artificial Intelligence In Iot Market 2025: 2Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion, Amazon, AT T, CISCO, ORACLE, HITACHI, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft, Yseop, Ipsoft, NanoRepLogMeIn, Ada Support, Astute Solutions, , Wipro Byanita_adroit Mar 25, 2021 Scope: Global Artificial Intelligence IoT MarketThe global Artificial Intelligence IoT market report covers comprehensive analysis important aspects associated market. The crucial information growth patterns market growth factors responsible covered research report. The market report provides detailed study market restraints affect growth Artificial Intelligence IoT market. The indepth study technological advancements global Artificial Intelligence IoT industry involved Artificial Intelligence IoT market report. The insightful data product launches globe covered research report. The research report covers documentation market size different times. The detailed analysis past statistics Artificial Intelligence IoT market covered report prediction future size Artificial Intelligence IoT forecasted period. Vendor Landscape Profiling: Google Baidu IBM Microsoft SAP Intel Salesforce Brighterion Amazon AT T CISCO ORACLE HITACHI KITT.AI IFlyTek Megvii Technology Albert Technologies H2O.ai Brainasoft Yseop Ipsoft NanoRepLogMeIn Ada Support Astute Solutions Wipro We Have Recent Updates Artificial Intelligence IoT Market Sample [emailprotected] The global Artificial Intelligence IoT market research report offers insightful data major industrial events market years. These events include major investments sector, collaborations, innovations, mergers, etc. The report provides users detailed study Artificial Intelligence IoT industry growth pattern. In addition that, detailed analysis key growth drivers market growth restraints covered market research report. The research report Artificial Intelligence IoT market includes study strategies involved growth process global market. Some strategies data monitoring, Passion, Understanding potential customer base, Focus, communicating value To Your Customers, etc. In order global markets growing robust pace vendors manufacturers need follow strategies. Productbased Segmentation: OnPremise Cloudbased Applicationbased Segmentation: Small Medium Scale Business Large Scale Busines To read study, read complete description @ The report Artificial Intelligence IoT industry provides detailed analysis present market demands data prediction future demands industry. The market report recognized thorough guide indepth study Artificial Intelligence IoT sector. The research report complete guide understand vital aspects related market new entrants global Artificial Intelligence IoT market. The research report global Artificial Intelligence IoT market covers documentation study segments market. The research report includes information strategic developments Artificial Intelligence IoT sector years. The following complete rundown geographybased analysis Artificial Intelligence IoT market: North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Make Enquiry purchasing Report @ : With unfailing market gauging skills, excelling curating tailored business intelligence data industry verticals. Constantly thriving expand skill development, strength lies dedicated intellectuals dynamic problem solving intent, willing mold boundaries scale heights market interpretation. Us : Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Global Day Trading Software Market 2025: Plus500, Avatrade, XM Global Limited, Trading 212, BDSwiss, Binary, XTB, eToro, Vantage FX, SpreadEx, FXCM, Ayondo, NordFX, Zulutrade, Invest, Forex, Hithink Flush Information Network Global It Project Management Software Market 2025: Monday, Nulab, Wrike, Clubhouse, Conceptboard, Zoho Sprints, Airfocus, Freshworks, Ganttpro, Bitrix, Meisterlabs, Kitovu, Logic Software, Harmony Business Systems, Asana, Atlassian, Clickup, Workfront, Targetprocess, Favro, Projectmanager, Avaza Software, Proactive Software, Appfluence, Celoxis Technologies, Workotter By anita_adroit Related Post All News Energy News Space Time Tracking Software Market 20212026 Major Key Player: ClickTime,Time Doctor,ProWorkflow,Workfront,ConnectWise Manage,RemoteDesk, Mavenlink,Zoho Projects,Clarizen Mar 25, 2021 aryan All News Energy News Space Business Process Outsourcing BPO Market 20212026 Major Key Player: Aon plc,HR Solutions,QuisLex, .,Genpact,KPMG,IBM,Peninsula,Accenture plc,Capgemini SE,HewlettPackard Co. Mar 25, 2021 aryan All News Energy News Space Photography Drone Market Report 2021: Acute Analysis Global Demand Supply 2026 Major Key Player:Aerobo US, Airware US, Cyberhawk UK, Deveron UAS Canada, DroneDeploy US, Identified Technologies US, Measure Mar 25, 2021 aryan Recent Posts COVID19 Impact Soil Compaction Machines Market Size, Top Key Players, Latest Trends, Regional Insights Global Industry Dynamics By 2028 Impact COVID19 Aircraft Towbars Market Top Companies Analysis Grow Your Business 2028, Fact.MR Vehicle Wash System Market Global Opportunity Analysis Industry Forecast 2026 Compact Track Loader Market Report Examines Unique Top Company Analysis 2028 Caterpillar , Deere Co., Komatsu Ltd Undercarriage Components Market Opportunities Growth Rate With COVID19 Impact Study Fact.MR Archives March 2021 February 2021 January 2021 December 2020 November 2020 Categories All News Energy News Space Meta Log Entries feed Comments feed You missed News COVID19 Impact Soil Compaction Machines Market Size, Top Key Players, Latest Trends, Regional Insights Global Industry Dynamics By 2028 Mar 25, 2021 neha.b News Impact COVID19 Aircraft Towbars Market Top Companies Analysis Grow Your Business 2028, Fact.MR Mar 25, 2021 neha.b News Vehicle Wash System Market Global Opportunity Analysis Industry Forecast 2026 Mar 25, 2021 neha.b News Compact Track Loader Market Report Examines Unique Top Company Analysis 2028 Caterpillar , Deere Co., Komatsu Ltd Mar 25, 2021 neha.b The Market Eagle News Proudly powered WordPress Theme: Newsup Themeansar. 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https://themediatimes.com/researchers-in-the-us-and-china-use-machine-learning-to-make-better-solar-panels/
2020-01-26T00:00:00
en
Researchers in the US and China use machine learning to make better solar panels - The Media Times
Researchers in the US and China use machine learning to make better solar panels - The Media Times Sign in Home ENTERTAINMENT Featured GAMING IOS GAMING LATEST NEWS Politics sports Tech BUSINESS Sign in Welcome!Log into your account your username your password Forgot your password? Privacy Policy Password recovery Recover your password your email Search Sunday, January 26, 2020 Sign in / JoinPrivacy Policy Terms and Conditions Dmca Policy Disclaimer Contact Us About Us Sign in Welcome! Log into your account your username your password Forgot your password? Get help Privacy Policy Password recovery Recover your password your email A password will be e-mailed to you. Home ENTERTAINMENT Featured GAMING IOS GAMING LATEST NEWS Politics sports Tech BUSINESS Home LATEST NEWS Researchers in the US and China use machine learning to make better... LATEST NEWSTech Researchers in the US and China use machine learning to make better solar panels By Geraldine Revell - January 25, 2020 53 0 Facebook Twitter Pinterest WhatsApp advertisement January 25, 2020 against Michael Barnard Solar energy and advanced computing are an important cleantech intersection. From the return of renewable investments to optimizing investments to an optimal commercial solar roof implementation, machine learning helps us become more efficient and effective in our global transformation. But it’s deeper than that. Researchers in the US and China use machine learning to discover new solar panels to increase the basic efficiency and economic effectiveness of solar panels. They test hundreds or thousands of combinations in virtual test beds before bringing them into the physical world, an important element of the machine-to-reality value proposition. advertisement Thanks to the US Pacific Northwest National Laboratory Let’s start in the United States with Jinxin Li, Basudev Pradhan, Surya Gaur and Jayan Thomas from the sun-drenched campus of the University of Central Florida. Their focus is on perovskite solar panels. This range of chemicals with inorganic and organic elements has reached an efficiency of 28%, exceed the standard maximum silicon efficiency, and is making rapid progress. However, the options for composition are very large and the number of researchers is limited. In their study, published under the title Predictions and strategies learned from machine learning to develop high-performance Perovskite solar cells in Wiley, the team tried to simplify this process. They used 333 data points from around 2,000 peer-reviewed studies on the subject to train a model in search of chemistry with higher probability. They have not only identified the most likely candidates for physical examination, but predicted performance with reasonable accuracy based on underlying chemical factors. Their work also supports and suggests approaching the theoretical Shockley-Queisser limit for individual solar cell efficiency. Although solar panels have fallen in price, mainly due to enormous economies of scale for production, distribution and construction, increased efficiency with cheap and abundant minerals still has room to pay off. Also in the US are Baskar Ganapathysubramanian and Iowa State University team, supported by grants from the Advanced Research Projects Agency – Energy (ARPA-E) from the Department of Energy. The extensive team spans the United States with New York University, Stanford University in California and a member of NREL in Colorado. Their focus is on the application of machine learning on organic, thin-film solar panels. This subset of solar technology has been less efficient than conventional solar panels and perovskite chemistry, but the benefit is emphasized in the name. Thinness equals lightness, flexibility and even transparency. They have been used in integrated photovoltaic systems in consumer equipment, power generators and conventional solar parks, but in recent years they have deteriorated in favor of more efficient technologies. They too have room to improve, but encounter the same problem of the large number of compositional choices that can be made, something that is difficult to deal with through conventional research approaches. Enter the Ganapathysubramanian team. Their intention is the same as the perovskite-oriented researchers, to find chemistry that has higher efficiency and is cheaper to produce. For them it is the early days and their work helps a greater purpose of applying the approach to multiple domains. The next team working on solar technology with machine learning approaches are Wenbo Sun, Yujie Zheng, et al., From Chongqing University, North China University of Science and Technology and the Chinese Academy of Sciences. Their focus is on the emerging space of organic solar cells, which use organic polymers or molecules to capture the sun’s energy and convert it into useful electricity. The efficiency so far is even lower in this space, with maximum efficiencies so far below 20%. But the range of organic chemistry is huge, it is a new field and the benefits are great if they can be made more efficient and sustainable. Again, this is a light, thin film technology and inherently flexible and quick to produce. And again, machine learning comes to the rescue. Because the approach requires data and organic films are relatively new, the team first started collecting a huge data set of more than 1,700 materials from the literature. They then investigated how the molecular structures can be applied most effectively for the application of machine learning approaches, and finally compared to a new set of materials to assess predictive quality. And predictive quality is good. Expect more progress from this team in this solar technology in the coming years, and a new kind of thin, light and cheap solar panels will emerge from China. The world is huge and the chemicals and organic compounds in it are innumerable and staggering in their combinations and permutations. Machine learning helps researchers find the highest probability combinations for more efficient and cheaper solar technology, something that benefits everyone in the world. Follow CleanTechnica on Google News.It will make you happy and help you live the rest of your life in peace. Tags: China, Chongqing University, Iowa State, machine learning, NREL, organic solar energy, perovskite, United States About the author Michael Barnard is Chief Strategist at TFIE Strategy Inc. He works with startups, existing companies and investors to identify opportunities for significant bottom-line growth and cost reduction in our rapidly transforming world. He is an editor of The Future is Electric, a medium publication. He regularly publishes analyzes of low-carbon technology and policies on sites such as Newsweek, Slate, Forbes, Huffington Post, Quartz, CleanTechnica and RenewEconomy, and his work is regularly included in textbooks. Articles from third parties about his analyzes and interviews have been published on dozens of news sites worldwide and have reached # 1 on Reddit Science. Much of his work comes from Quora.com, where Mike has been a top writer every year since 2012. It is available for consulting assignments, speaking assignments and management positions. advertisement TAGSChinaLearningMachinepanelsresearcherssolar Facebook Twitter Pinterest WhatsApp Previous articleNr. 24 Rutgers leads Nebraska in Baker’s final three-secondNext articleSundance: Quibi offers first demonstrations of new series Geraldine Revell RELATED ARTICLESMORE FROM AUTHOR LATEST NEWS Pablo Mari: Flamengo defender arrives in London ahead of expected Arsenal move BUSINESS ‘It’s supposed to be a punishment’: Sheriff rejects Perth shoplifter’s request to reduce curfew hours LATEST NEWS Houghton Lake Warns Cyclists To Watch Thin Ice advertisement HOT NEWS LATEST NEWS Benjamin Santino Marucci is committed to Wake Forest and plans to... LATEST NEWS Carles Perez close to leaving Barcelona – reports BUSINESS Heavy traffic following the crash of three vehicles on the Friarton... 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Researchers in the US and China use machine learning to make better solar panels
Researchers US China use machine learning better solar panels The Media Times Sign Home ENTERTAINMENT Featured GAMING IOS GAMING LATEST NEWS Politics sports Tech BUSINESS Sign WelcomeLog account username password Forgot password? Password recovery Recover password email Sunday, January 26, 2020 Sign Join Dmca Policy Disclaimer Us Sign Welcome Log account username password Forgot password? Get help Password recovery Recover password email A password emailed you. Home ENTERTAINMENT Featured GAMING IOS GAMING LATEST NEWS Politics sports Tech BUSINESS Home LATEST NEWS Researchers US China use machine learning better... LATEST NEWSTech Researchers US China use machine learning better solar panels By Geraldine Revell January 25, 2020 53 0 Facebook Twitter Pinterest WhatsApp advertisement January 25, 2020 Michael Barnard Solar energy advanced computing important cleantech intersection. From return renewable investments optimizing investments optimal commercial solar roof implementation, machine learning helps efficient effective global transformation. But deeper that. Researchers US China use machine learning discover new solar panels increase basic efficiency economic effectiveness solar panels. They test hundreds thousands combinations virtual test beds bringing physical world, important element machinetoreality value proposition. advertisement Thanks US Pacific Northwest National Laboratory Lets start United States Jinxin Li, Basudev Pradhan, Surya Gaur Jayan Thomas sundrenched campus University Central Florida. Their focus perovskite solar panels. This range chemicals inorganic organic elements reached efficiency 28, exceed standard maximum silicon efficiency, making rapid progress. However, options composition large number researchers limited. In study, published title Predictions strategies learned machine learning develop highperformance Perovskite solar cells Wiley, team tried simplify process. They 333 data points 2,000 peerreviewed studies subject train model search chemistry higher probability. They identified likely candidates physical examination, predicted performance reasonable accuracy based underlying chemical factors. Their work supports suggests approaching theoretical ShockleyQueisser limit individual solar cell efficiency. Although solar panels fallen price, mainly enormous economies scale production, distribution construction, increased efficiency cheap abundant minerals room pay off. Also US Baskar Ganapathysubramanian Iowa State University team, supported grants Advanced Research Projects Agency Energy ARPAE Department Energy. The extensive team spans United States New York University, Stanford University California member NREL Colorado. Their focus application machine learning organic, thinfilm solar panels. This subset solar technology efficient conventional solar panels perovskite chemistry, benefit emphasized name. Thinness equals lightness, flexibility transparency. They integrated photovoltaic systems consumer equipment, power generators conventional solar parks, recent years deteriorated favor efficient technologies. They room improve, encounter problem large number compositional choices made, difficult deal conventional research approaches. Enter Ganapathysubramanian team. Their intention perovskiteoriented researchers, chemistry higher efficiency cheaper produce. For early days work helps greater purpose applying approach multiple domains. The team working solar technology machine learning approaches Wenbo Sun, Yujie Zheng, et al., From Chongqing University, North China University Science Technology Chinese Academy Sciences. Their focus emerging space organic solar cells, use organic polymers molecules capture suns energy convert useful electricity. The efficiency far lower space, maximum efficiencies far 20. But range organic chemistry huge, new field benefits great efficient sustainable. Again, light, film technology inherently flexible quick produce. And again, machine learning comes rescue. Because approach requires data organic films relatively new, team started collecting huge data set 1,700 materials literature. They investigated molecular structures applied effectively application machine learning approaches, finally compared new set materials assess predictive quality. And predictive quality good. Expect progress team solar technology coming years, new kind thin, light cheap solar panels emerge China. The world huge chemicals organic compounds innumerable staggering combinations permutations. Machine learning helps researchers highest probability combinations efficient cheaper solar technology, benefits world. Follow CleanTechnica Google News.It happy help live rest life peace. Tags: China, Chongqing University, Iowa State, machine learning, NREL, organic solar energy, perovskite, United States About author Michael Barnard Chief Strategist TFIE Strategy . He works startups, existing companies investors identify opportunities significant bottomline growth cost reduction rapidly transforming world. He editor The Future Electric, medium publication. He regularly publishes analyzes lowcarbon technology policies sites Newsweek, Slate, Forbes, Huffington Post, Quartz, CleanTechnica RenewEconomy, work regularly included textbooks. Articles parties analyzes interviews published dozens news sites worldwide reached 1 Reddit Science. Much work comes , Mike writer year 2012. It available consulting assignments, speaking assignments management positions. advertisement TAGSChinaLearningMachinepanelsresearcherssolar Facebook Twitter Pinterest WhatsApp Previous articleNr. 24 Rutgers leads Nebraska Bakers final threesecondNext articleSundance: Quibi offers demonstrations new series Geraldine Revell RELATED ARTICLESMORE FROM AUTHOR LATEST NEWS Pablo Mari: Flamengo defender arrives London ahead expected Arsenal BUSINESS Its supposed punishment: Sheriff rejects Perth shoplifters request reduce curfew hours LATEST NEWS Houghton Lake Warns Cyclists To Watch Thin Ice advertisement HOT NEWS LATEST NEWS Benjamin Santino Marucci committed Wake Forest plans to... LATEST NEWS Carles Perez close leaving Barcelona reports BUSINESS Heavy traffic following crash vehicles Friarton... BUSINESS Hawkesbury Clifftop Listing worlds best BBQ area Dmca Policy Disclaimer Us Newspaper WordPress Theme TagDiv
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https://thewest.com.au/business/atlassian-reveals-new-ai-intelligence-technology-to-speed-up-workflow-and-boost-its-market-share--c-10389353
2023-04-19T00:00:00
en
Atlassian reveals new AI intelligence technology to speed up workflow and boost its market share | The West Australian
Atlassian reveals new AI intelligence technology to speed up workflow and boost its market share | The West Australian Close navigation menuSubscribeLog InSearchHomeSubscriber ExclusiveLatestToday's PaperPuzzlesTimespoolWest RewardsUp LateThe West LiveTrading UpNewsReveal sub navigationChevron Down IconCoronavirusWA NewsAustraliaWorldRegionalCrimeCourts & JusticeHealthEducationSportReveal sub navigationChevron Down IconLive SportsAFLCricketWest Coast EaglesFremantle DockersWAFLAFLWWAFL ColtsPSA FootyTennisSoccerBasketballRugby UnionNRLHorse RacingGolfMotorsportAFL Match CentreBusinessReveal sub navigationChevron Down IconMarketsPropertyMiningEnergyHerd On The TerraceYour MoneyAgriculturePublic CompaniesPoliticsReveal sub navigationChevron Down IconFederal PoliticsState PoliticsLocal GovernmentWorld PoliticsRegionalReveal sub navigationChevron Down IconSouth WestGreat SouthernGoldfieldsPeel/RockinghamGascoyneMid WestKimberleyPilbaraOpinionReveal sub navigationChevron Down IconEmma GarlettSarah-Jane TaskerJosh ZimmermanDean AlstonRangi HiriniKate EmeryPaul MurrayMark RileyPeter LawBasil ZempilasJoe SpagnoloLifestyleReveal sub navigationChevron Down IconFoodDrinkHealth & WellbeingGardenRetirementFashionMotoringNew HomesReal EstateHouse That!STMPLAYEntertainmentReveal sub navigationChevron Down IconCelebrity GossipMoviesTVMusicTheatreBooksArtsCompetitions & PuzzlesTravelReveal sub navigationChevron Down IconWestern AustraliaAustraliaAsiaWest Travel ClubPhotographyTravel TipsEuropeTechnologyReveal sub navigationChevron Down IconGadgetsGamingInternetAppsSmartphonesHardwareScienceInnovationTelecommunicationsSecurityMenuSearchSearch‌‌The West AustralianToday's PaperPlace an AdThursday, 20 April 2023BusinessTechnologyAtlassian reveals new AI intelligence technology to speed up workflow and boost its market share Gerard CockburnThe West AustralianThu, 20 April 2023 12:01AMCommentsCommentsPremiumAtlassian is seeking to claim a bigger piece of the tech market by banking on artificial intelligence to boost global users of its software platforms.The Australian tech giant at its Las Vegas showcase on Wednesday unveiled Atlassian Intelligence as part of a suite of new software updates, which it hopes will keep pace with a tech sector now seeing a ramp up in AI integration.PremiumSubscribers with digital access can view this article.Already a subscriber?Login here.Weekend Papers + Everyday Digital$9 per weekAccess to all digital contentWeekend papers deliveredRegional online newsThe West AppDaily digital edition newspaperSubscriber rewardsSubscribeCancel anytime. Min cost $36.Everyday Digital$1 per dayAccess to all digital contentRegional online newsThe West AppDaily digital edition newspaperSubscriber rewardsWeekend papers deliveredSubscribeCancel anytime. Min cost $28.See other subscription options and Terms & ConditionsSubscribers get moreVideo series & podcastsWatch and listen to a variety of WA true crime series, video channels and podcasts with commentary on news, politics and current affairsWatch nowNewslettersBreaking news, sport, business and more. 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Atlassian reveals new AI intelligence technology to speed up workflow and boost its market share
Atlassian reveals new AI intelligence technology speed workflow boost market share The West Australian Close navigation menuLog InHomer ExclusiveLatestTodays PaperPuzzlesTimespoolWest RewardsUp LateThe West LiveTrading UpNewsReveal sub navigationChevron Down IconCoronavirusWA NewsAustraliaWorldRegionalCrimeCourts JusticeHealthEducationSportReveal sub navigationChevron Down IconLive SportsAFLCricketWest Coast EaglesFremantle DockersWAFLAFLWWAFL ColtsPSA FootyTennisSoccerBasketballRugby UnionNRLHorse RacingGolfMotorsportAFL Match CentreBusinessReveal sub navigationChevron Down IconMarketsPropertyMiningEnergyHerd On The TerraceYour MoneyAgriculturePublic CompaniesPoliticsReveal sub navigationChevron Down IconFederal PoliticsState PoliticsLocal GovernmentWorld PoliticsRegionalReveal sub navigationChevron Down IconSouth WestGreat SouthernGoldfieldsPeelRockinghamGascoyneMid WestKimberleyPilbaraOpinionReveal sub navigationChevron Down IconEmma GarlettSarahJane TaskerJosh ZimmermanDean AlstonRangi HiriniKate EmeryPaul MurrayMark RileyPeter LawBasil ZempilasJoe SpagnoloLifestyleReveal sub navigationChevron Down IconFoodDrinkHealth WellbeingGardenRetirementFashionMotoringNew HomesReal EstateHouse ThatSTMPLAYEntertainmentReveal sub navigationChevron Down IconCelebrity GossipMoviesTVMusicTheatreBooksArtsCompetitions PuzzlesTravelReveal sub navigationChevron Down IconWestern AustraliaAustraliaAsiaWest Travel ClubPhotographyTravel TipsEuropeTechnologyReveal sub navigationChevron Down IconGadgetsGamingInternetAppsSmartphonesHardwareScienceInnovationTelecommunicationsSecurityMenuThe West AustralianTodays PaperPlace AdThursday, 20 April 2023BusinessTechnologyAtlassian reveals new AI intelligence technology speed workflow boost market share Gerard CockburnThe West AustralianThu, 20 April 2023 12:01AMCommentsCommentsPremiumAtlassian seeking claim bigger piece tech market banking artificial intelligence boost global users software platforms.The Australian tech giant Las Vegas showcase Wednesday unveiled Atlassian Intelligence suite new software updates, hopes pace tech sector seeing ramp AI integration.Premiumrs digital access view article.Already subscriber? here.Weekend Papers Everyday Digital9 weekAccess digital contentWeekend papers deliveredRegional online newsThe West AppDaily digital edition newspaperr rewardsCancel anytime. Min cost 36.Everyday Digital1 dayAccess digital contentRegional online newsThe West AppDaily digital edition newspaperr rewardsWeekend papers deliveredCancel anytime. Min cost 28.See subscription options Terms Conditionsrs moreVideo series podcastsWatch listen variety WA true crime series, video channels podcasts commentary news, politics current affairsWatch nowNewslettersBreaking news, sport, business more. Get news want delivered straight inbox miss headline.Choose todayWin bigRegular chances win incredible prizes like luxury getaways sports tickets subscriber exclusive competitionsEnter nowr discountsGet exclusive discounts movie tickets, dining popular attractions.Browse todayVideo series podcastsWatch listen variety WA true crime series, video channels podcasts commentary news, politics current affairsWatch nowNewslettersBreaking news, sport, business more. Get news want delivered straight inbox miss headline.Choose todayWin bigRegular chances win incredible prizes like luxury getaways sports tickets subscriber exclusive competitionsEnter nowr discountsGet exclusive discounts movie tickets, dining popular attractions.Browse today instant access West Rewards, rewards program.FeaturesPick newslettersFind MoreFrom siteDutton shocks executivePremiumPetroleum tax hike bandaid budget fix: Woodside bossPorter Davis owes Commonwealth Bank 33m: documentsPremiumBig Twiggybacked promotion exNT chief ministerPremiumSW town Collie set lead landfill revolutionPremiumSpotify users global outagePremiumTop Storiesput good showCommentsPremiumPremier lures highpowered global conference PerthThe West Australian exclusiveThe West Australian exclusiveLiquid foodPremiumThe West Australian exclusivePrison diet upsets Rebels bikie weight loss surgeryTrading UpVideoCommentsWATCH: Medicinal cannabis firm helps double cashOur NetworkWest RewardsWest Regional NetworkWest Announcements West ClassifiedsWestBusiness Events West Travel ClubThe GameMedia EducationPerthNow7plus7NEWSOur PartnersCar ExpertStarts 60Raiz InvestHealthEngineSocietyOneiSeekplantHome BeautifulBetter Homes GardensMarie ClaireNew IdeaThats LifeBeauty CrewInstitchuCarbar ToThe West Australian NewspaperThe West Email NewslettersConnect usMessenger IconSend messageShare FacebookShare TwitterShare InstagramShare YoutubeRSS FeedEmail Us UsFrequently Asked QuestionsEditorial PolicyEditorial ComplaintsPlace ad ClassifiedsAdvertise The West AustralianCorporate West Australian Newspapers Limited 2023Terms UseThe West Australian
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https://thewest.com.au/technology/google-ceo-says-its-chatgpt-rival-coming-soon-as-a-companion-to-search-c-9641832
2023-02-03T00:00:00
en
Google CEO says its ChatGPT rival coming soon as a ‘companion’ to search | The West Australian
Google CEO says its ChatGPT rival coming soon as a ‘companion’ to search | The West Australian Close navigation menuSubscribeLog InSearchHomeSubscriber ExclusiveLatestToday's PaperPuzzlesTimespoolWest RewardsUp LateThe West LiveTrading UpNewsReveal sub navigationChevron Down IconCoronavirusWA NewsAustraliaWorldRegionalCrimeCourts & JusticeHealthEducationSportReveal sub navigationChevron Down IconLive SportsAFLCricketWest Coast EaglesFremantle DockersWAFLAFLWWAFL ColtsPSA FootyTennisSoccerBasketballRugby UnionNRLHorse RacingGolfMotorsportBusinessReveal sub navigationChevron Down IconMarketsPropertyMiningEnergyHerd On The TerraceYour MoneyAgriculturePublic CompaniesPoliticsReveal sub navigationChevron Down IconFederal PoliticsState PoliticsLocal GovernmentWorld PoliticsRegionalReveal sub navigationChevron Down IconSouth WestGreat SouthernGoldfieldsPeel/RockinghamGascoyneMid WestKimberleyPilbaraOpinionReveal sub navigationChevron Down IconEmma GarlettSarah-Jane TaskerJosh ZimmermanDean AlstonRangi HiriniKate EmeryPaul MurrayMark RileyPeter LawBasil ZempilasJoe SpagnoloLifestyleReveal sub navigationChevron Down IconFoodDrinkHealth & WellbeingGardenRetirementFashionMotoringNew HomesReal EstateHouse That!STMPLAYEntertainmentReveal sub navigationChevron Down IconCelebrity GossipMoviesTVMusicTheatreBooksArtsCompetitions & PuzzlesTravelReveal sub navigationChevron Down IconWestern AustraliaAustraliaAsiaWest Travel ClubPhotographyTravel TipsEuropeTechnologyReveal sub navigationChevron Down IconGadgetsGamingInternetAppsSmartphonesHardwareScienceInnovationTelecommunicationsSecurityMenuSearchSearch‌‌SubscribeSubscribe Chevron Right IconThe West AustralianToday's PaperPlace an AdFriday, 3 February 2023TechnologyGoogle CEO says its ChatGPT rival coming soon as a ‘companion’ to searchJulia LoveBloombergFri, 3 February 2023 12:30PMCommentsCommentsPremiumPremiumSubscribers with digital access can view this article.Already a subscriber?Login here.Subscribe today.Unlimited access to breaking news, sport, business, lifestyle and in-depth exclusives home delivered or direct to your device.Everyday Digital$1 per daySubscribe NowCancel anytime. Min cost $28.Weekend Papers + Everyday Digital$9 per weekSubscribe NowCancel anytime. Min cost $36.View All PackagesNeed Help? Call us at 1800 811 855West Rewards External LogoEnjoy exclusive member discounts, giveaways and competitions with our subscriber rewards program.CommentsTo comment on this story and join the conversation, subscribe to The West Australian’s Everyday Digital package.Are you already a subscriber?LoginRotto Swim is Back!The stage is set for the biggest and best South32 Rottnest Channel Swim yet.Find out MoreFrom around the siteAI is here to stay, let’s embrace itThings are looking up for MetaPremium‘Conflicts’: Report scathing of Barilaro’s officeApple sales miss estimates on sluggish economy, supply snagsPremiumChatGPT unleashes stock trader stampede for everything AIPremiumState sweats through heatwavePremiumTop StoriesTHROWN OUT PremiumKyrgios assault charge dismissed despite guilty pleaDevastating bushfiresPremiumDramatic scenes as arsonist firey avoids more jail time review reviewChicken roll battleCommentsPremium reviewClaremont Hotel Bush Chook Roll vs Chicken Treat predecessorOur NetworkWest RewardsWest Regional NetworkWest Announcements West ClassifiedsWestBusiness Events West Travel ClubThe GameMedia EducationPerthNow7plus7NEWSOur PartnersCar ExpertStarts at 60Raiz InvestHealthEngineSocietyOneiSeekplantHome BeautifulBetter Homes & GardensMarie ClaireNew IdeaThat’s LifeBeauty CrewInstitchuCarbarSubscribe ToThe West Australian NewspaperThe West Email NewslettersConnect with usMessenger IconSend us a messageShare to FacebookShare to TwitterShare to InstagramShare to YoutubeRSS FeedEmail UsContact UsFrequently Asked QuestionsEditorial PolicyEditorial ComplaintsPlace an ad in the ClassifiedsAdvertise in The West AustralianCorporate© West Australian Newspapers Limited 2023Privacy PolicyTerms of UseThe West Australian
Google CEO says its ChatGPT rival coming soon as a ‘companion’ to search
Google CEO says ChatGPT rival coming soon companion search The West Australian Close navigation menuLog InHomer ExclusiveLatestTodays PaperPuzzlesTimespoolWest RewardsUp LateThe West LiveTrading UpNewsReveal sub navigationChevron Down IconCoronavirusWA NewsAustraliaWorldRegionalCrimeCourts JusticeHealthEducationSportReveal sub navigationChevron Down IconLive SportsAFLCricketWest Coast EaglesFremantle DockersWAFLAFLWWAFL ColtsPSA FootyTennisSoccerBasketballRugby UnionNRLHorse RacingGolfMotorsportBusinessReveal sub navigationChevron Down IconMarketsPropertyMiningEnergyHerd On The TerraceYour MoneyAgriculturePublic CompaniesPoliticsReveal sub navigationChevron Down IconFederal PoliticsState PoliticsLocal GovernmentWorld PoliticsRegionalReveal sub navigationChevron Down IconSouth WestGreat SouthernGoldfieldsPeelRockinghamGascoyneMid WestKimberleyPilbaraOpinionReveal sub navigationChevron Down IconEmma GarlettSarahJane TaskerJosh ZimmermanDean AlstonRangi HiriniKate EmeryPaul MurrayMark RileyPeter LawBasil ZempilasJoe SpagnoloLifestyleReveal sub navigationChevron Down IconFoodDrinkHealth WellbeingGardenRetirementFashionMotoringNew HomesReal EstateHouse ThatSTMPLAYEntertainmentReveal sub navigationChevron Down IconCelebrity GossipMoviesTVMusicTheatreBooksArtsCompetitions PuzzlesTravelReveal sub navigationChevron Down IconWestern AustraliaAustraliaAsiaWest Travel ClubPhotographyTravel TipsEuropeTechnologyReveal sub navigationChevron Down IconGadgetsGamingInternetAppsSmartphonesHardwareScienceInnovationTelecommunicationsSecurityMenu Chevron Right IconThe West AustralianTodays PaperPlace AdFriday, 3 February 2023TechnologyGoogle CEO says ChatGPT rival coming soon companion searchJulia LoveBloombergFri, 3 February 2023 12:30PMCommentsCommentsPremiumPremiumrs digital access view article.Already subscriber? here. today.Unlimited access breaking news, sport, business, lifestyle indepth exclusives home delivered direct device.Everyday Digital1 day NowCancel anytime. Min cost 28.Weekend Papers Everyday Digital9 week NowCancel anytime. Min cost 36.View All PackagesNeed Help? Call 1800 811 855West Rewards External LogoEnjoy exclusive member discounts, giveaways competitions subscriber rewards program.CommentsTo comment story join conversation, subscribe The West Australians Everyday Digital package.Are subscriber?Rotto Swim BackThe stage set biggest best South32 Rottnest Channel Swim yet.Find MoreFrom siteAI stay, lets embrace itThings looking MetaPremiumConflicts: Report scathing Barilaros officeApple sales miss estimates sluggish economy, supply snagsPremiumChatGPT unleashes stock trader stampede AIPremiumState sweats heatwavePremiumTop StoriesTHROWN OUT PremiumKyrgios assault charge dismissed despite guilty pleaDevastating bushfiresPremiumDramatic scenes arsonist firey avoids jail time review reviewChicken roll battleCommentsPremium reviewClaremont Hotel Bush Chook Roll vs Chicken Treat predecessorOur NetworkWest RewardsWest Regional NetworkWest Announcements West ClassifiedsWestBusiness Events West Travel ClubThe GameMedia EducationPerthNow7plus7NEWSOur PartnersCar ExpertStarts 60Raiz InvestHealthEngineSocietyOneiSeekplantHome BeautifulBetter Homes GardensMarie ClaireNew IdeaThats LifeBeauty CrewInstitchuCarbar ToThe West Australian NewspaperThe West Email NewslettersConnect usMessenger IconSend messageShare FacebookShare TwitterShare InstagramShare YoutubeRSS FeedEmail Us UsFrequently Asked QuestionsEditorial PolicyEditorial ComplaintsPlace ad ClassifiedsAdvertise The West AustralianCorporate West Australian Newspapers Limited 2023Terms UseThe West Australian
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4,106
https://thinkcuriouser.com/finance/596435/global-artificial-intelligence-ai-in-security-market-top-players-by-2026-amazon-fortinet-inc-google-ibm-corporation-etc/
2020-11-09T00:00:00
en
Global Artificial Intelligence (AI) in Security Market Top Players By 2026: Amazon, Fortinet, Inc., Google, IBM Corporation etc. – The Think Curiouser
Global Artificial Intelligence (AI) in Security Market Top Players By 2026: Amazon, Fortinet, Inc., Google, IBM Corporation etc. – The Think Curiouser Skip to the content Search The Think Curiouser Menu Space Energy News Finance Contact Search Search for: Close search Close Menu Space Energy News Finance Contact Categories Finance Global Artificial Intelligence (AI) in Security Market Top Players By 2026: Amazon, Fortinet, Inc., Google, IBM Corporation etc. Post author By anita Post date November 9, 2020 Regional Development: Detailed Analysis The latest report presentation on Global Artificial Intelligence (AI) in Security market portrays a detailed analytical review of the market spectrum across both historical and current timelines, complete with thorough details on prominent events, catastrophic implications as well as segment advancement and technological milestones that tend to have a lingering influence on unperturbed growth prognosis in global Artificial Intelligence (AI) in Security market. In-depth research delving into past developments and growth trends, besides significant analysis of current events and developments, suggest that holistic growth in global Artificial Intelligence (AI) in Security market is touted to reach over xx million USD by the end of 2027, with CAGR amplification of xx% through the forecast span, 2020-26. The study encompasses profiles of major companies operating in the Artificial Intelligence (AI) in Security Market. Key players profiled in the report includes: AmazonFortinet Inc.GoogleIBM CorporationIntelMicron Technology Inc.Nvidia CorporationPalo Alto Networks Inc.Samsung Electronics Co. Ltd. We Have Recent Updates of Artificial Intelligence (AI) in Security Market in Sample [email protected] https://www.orbisresearch.com/contacts/request-sample/4581152?utm_source=puja The report spans across determining crucial developments for various lucrative growth hotspots such spread over 50 countries during the growth span, 2020-26. A clear analytical review of vital details such as supply and logistics outlook, segment development and investments as well as manufacturer and vendor activities favoring high end returns in a highly competitive landscape. The report critically assesses the frontline players and their company positioning amidst staggering competition and lingering eventful milestones. Each of the profiled players mentioned in the report has been thoroughly evaluated to include a detailed overview of market segments inclusive of type and applications. The report also includes details in region wise advances and consumer behavior and activities across countries and regions. Segment Stratification by Product: The report includes details on production, consumption, import and export developments along with sales volume and value-based projections are meticulously ingrained in the report. Developments in CAGR projections are also tagged in the report. Platform Services Segment Stratification by Application: The report also ropes in versatile details on end-use applicability user preferences and vendor participation that collectively steer tremendous growth potential in global Artificial Intelligence (AI) in Security market. BFSI Retail IT & Telecommunication Automotive & Transportation Manufacturing Government & Defence Others Additionally, this intensive research report has also been deployed to adequately answer the queries of inquisitive report readers and market participants pertaining to COVID-19 pandemic analysis and corresponding recovery. Browse Full Report with Facts and Figures of Artificial Intelligence (AI) in Security Market Report at @ https://www.orbisresearch.com/reports/index/global-artificial-intelligence-ai-in-security-market-size-status-and-forecast-2020-2026?utm_source=puja One of the most relevant research inputs in global Artificial Intelligence (AI) in Security market is COVID-19 impact analysis. The pre and post analytical developments in global Artificial Intelligence (AI) in Security market have also been thoroughly included in the report to ensure reader understanding and subsequent investment discretion. Assessment of the market dynamics across both the timelines is integral to ensure accurate forecast analysis and growth projections. Geographical Segmentation and Competition AnalysisThis section of the report proceeds further with divulging high end details on regional overview, highlighting chief growth hotspots, vendor participation as well as consumer expectations that collectively determine futuristic growth prognosis in global Artificial Intelligence (AI) in Security market. The following is a complete run-down of geography-based analysis of Artificial Intelligence (AI) in Security market: – North America (U.S., Canada, Mexico)– Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)– Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)– Latin America (Brazil, Rest of L.A.)– Middle East and Africa (Turkey, GCC, Rest of Middle East) Do You Have Any Query or Specific Requirement? Ask Our Industry [email protected] https://www.orbisresearch.com/contacts/enquiry-before-buying/4581152?utm_source=puja Details such as trend analysis, opportunity mapping and barrier analysis have all been thoroughly evaluated in the report to encourage high end growth and long-term sustainability. These report inputs are in complete alignment with growth objectives of the new entrants as well as market veterans holding legacy growth stance in global Artificial Intelligence (AI) in Security market. Why to Invest in the Reportteam of expert research professionals are committed to offer high end industry-specific critical reports inclusive of high accuracy insights for future-ready business discretion. About Us:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients. 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Global Artificial Intelligence (AI) in Security Market Top Players By 2026: Amazon, Fortinet, Inc., Google, IBM Corporation etc.
Global Artificial Intelligence AI Security Market Top Players By 2026: Amazon, Fortinet, ., Google, IBM Corporation etc. The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Finance Global Artificial Intelligence AI Security Market Top Players By 2026: Amazon, Fortinet, ., Google, IBM Corporation etc. Post author By anita Post date November 9, 2020 Regional Development: Detailed Analysis The latest report presentation Global Artificial Intelligence AI Security market portrays detailed analytical review market spectrum historical current timelines, complete thorough details prominent events, catastrophic implications segment advancement technological milestones tend lingering influence unperturbed growth prognosis global Artificial Intelligence AI Security market. Indepth research delving past developments growth trends, significant analysis current events developments, suggest holistic growth global Artificial Intelligence AI Security market touted reach xx million USD end 2027, CAGR amplification xx forecast span, 202026. The study encompasses profiles major companies operating Artificial Intelligence AI Security Market. Key players profiled report includes: AmazonFortinet .GoogleIBM CorporationIntelMicron Technology .Nvidia CorporationPalo Alto Networks .Samsung Electronics Co. Ltd. We Have Recent Updates Artificial Intelligence AI Security Market Sample [emailprotected] The report spans determining crucial developments lucrative growth hotspots spread 50 countries growth span, 202026. A clear analytical review vital details supply logistics outlook, segment development investments manufacturer vendor activities favoring high end returns highly competitive landscape. The report critically assesses frontline players company positioning amidst staggering competition lingering eventful milestones. Each profiled players mentioned report thoroughly evaluated include detailed overview market segments inclusive type applications. The report includes details region wise advances consumer behavior activities countries regions. Segment Stratification Product: The report includes details production, consumption, import export developments sales volume valuebased projections meticulously ingrained report. Developments CAGR projections tagged report. Platform Services Segment Stratification Application: The report ropes versatile details enduse applicability user preferences vendor participation collectively steer tremendous growth potential global Artificial Intelligence AI Security market. BFSI Retail IT Telecommunication Automotive Transportation Manufacturing Government Defence Others Additionally, intensive research report deployed adequately answer queries inquisitive report readers market participants pertaining COVID19 pandemic analysis corresponding recovery. Browse Full Report Facts Figures Artificial Intelligence AI Security Market Report @ One relevant research inputs global Artificial Intelligence AI Security market COVID19 impact analysis. The pre post analytical developments global Artificial Intelligence AI Security market thoroughly included report ensure reader understanding subsequent investment discretion. Assessment market dynamics timelines integral ensure accurate forecast analysis growth projections. Geographical Segmentation Competition AnalysisThis section report proceeds divulging high end details regional overview, highlighting chief growth hotspots, vendor participation consumer expectations collectively determine futuristic growth prognosis global Artificial Intelligence AI Security market. The following complete rundown geographybased analysis Artificial Intelligence AI Security market: North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] Details trend analysis, opportunity mapping barrier analysis thoroughly evaluated report encourage high end growth longterm sustainability. These report inputs complete alignment growth objectives new entrants market veterans holding legacy growth stance global Artificial Intelligence AI Security market. Why Invest Reportteam expert research professionals committed offer high end industryspecific critical reports inclusive high accuracy insights futureready business discretion. :Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us:Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Global Electronic Data Interchange EDI Market Report Based 2020 COVID19 Worldwide Spread Key Players, Types, Applications, Countries, Market Size, Forecast 2027 Global Hiking Footwear Market Report Based 2020 COVID19 Worldwide Spread Key Players, Types, Applications, Countries, Market Size, Forecast 2027 Space Energy News Finance for: Recent Posts Global Database Service DBaaS Provider Market Top Players By 2026: IBM, AWS, MongoDB Atlas, Ninox, Aiven etc. Small Scale LNG SSLNG Market 2020 Driving Factors, Business Approaches Top Performing Players Fluxys S.A., LNG Gorskaya LLC, Gasnor, Skangas, Linde Gas, General Electric, Wrtsil Corporation, Gasrec, Gazprom, Engie Global AIOps Platforms Market Top Players By 2026: Splunk, Cisco AppDynamics, Micro Focus, Zenoss, Moogsoft etc. Global Talent Intelligence Software Market Top Players By 2026: SeekOut, Eightfold.ai, Humantelligence, Fuel50, TurboHire etc. Global Harassment Prevention Training Software Market Top Players By 2026: EverFi, Traliant, emTRAiN LMS, Inspired eLearning, Kantola Training Solutions etc. 2020 The Think Curiouser Powered WordPress To Up
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Computer Vision Market to Reflect Significant Growth During 2020?2026 |Basler, Omron, Keyence, National Instruments, Sony, Teledyne Technologies, etc – The Think Curiouser
Computer Vision Market to Reflect Significant Growth During 2020?2026 |Basler, Omron, Keyence, National Instruments, Sony, Teledyne Technologies, etc – The Think Curiouser Skip to the content Search The Think Curiouser Menu Space Energy News Finance Contact Search Search for: Close search Close Menu Space Energy News Finance Contact Categories News Computer Vision Market to Reflect Significant Growth During 2020?2026 |Basler, Omron, Keyence, National Instruments, Sony, Teledyne Technologies, etc Post author By Alex Post date October 22, 2020 The Global Computer Vision Market report by dataintelo provides a detailed analysis of the area marketplace expanding; competitive landscape; global, regional, and country-level market size; impact market players; market growth analysis; market share; opportunities analysis; product launches; recent developments; sales analysis; segmentation growth; technological innovations; and value chain optimization. This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. Request Free Sample Of This Report At: https://dataintelo.com/request-sample/?reportId=49190 Market Segmentation The Global Computer Vision Market has been divided into product types, application, and regions. These segments provide accurate calculations and forecasts for sales in terms of volume and value. This analysis can help customers increase their business and take calculated decisions. By Product Types,PC BasedSmart Camera Based By Applications,AutomotiveHealthcareConsumer ElectronicsFood & PackagingOthers By Regions and Countries,Asia Pacific: China, Japan, India, and Rest of Asia PacificEurope: Germany, the UK, France, and Rest of EuropeNorth America: The US, Mexico, and CanadaLatin America: Brazil and Rest of Latin AmericaMiddle East & Africa: GCC Countries and Rest of Middle East & Africa The regional analysis segment is a highly comprehensive part of the report on the global Computer Vision market. This section offers information on the sales growth in these regions on a country-level Computer Vision market. The historical and forecast information provided in the report span between 2018 and 2026. The report provides detailed volume analysis and region-wise market size analysis of the market. Competitive Landscape of the Computer Vision Market The chapter on competitive landscape provides information about key company overview, global presence, sales and revenue generated, market share, prices, and strategies used. Major players in the global Computer Vision Market include BaslerOmronKeyenceNational InstrumentsSonyTeledyne Technologies To Purchase This Report: https://dataintelo.com/checkout/?reportId=49190 The Computer Vision Market Report Addresses: Estimated size of the market The segment that accounted for a large market share in the past The segment that is anticipated to account for a dominant market share by 2026? Governing bodies Key region of the market Lucrative opportunities in the market The Report Provides: An overview of the market Comprehensive analysis of the market Analyses of recent developments in the market Events in the market scenario in past few years Emerging market segments and regional markets Segmentations up to the second and/or third level Historical, current, and estimated market size in terms of value and volume Competitive analysis, with company overview, products, revenue, and strategies. Impartial assessment of the market Strategic recommendations to help companies increase their market presence For Best Discount on Purchasing this Report Visit https://dataintelo.com/ask-for-discount/?reportId=49190 About DataIntelo:DATAINTELO has set its benchmark in the market research industry by providing syndicated and customized research report to the clients. The database of the company is updated on a daily basis to prompt the clients with the latest trends and in-depth analysis of the industry. Our pool of database contains various industry verticals that include: IT & Telecom, Food Beverage, Automotive, Healthcare, Chemicals and Energy, Consumer foods, Food and beverages, and many more. Each and every report goes through the proper research methodology, validated from the professionals and analysts to ensure the eminent quality reports. Contact Info: Name: Alex MathewsAddress: 500 East E Street, Ontario,CA 91764, United States.Phone No: USA: +1 909 545 6473Email: [email protected]Website: https://dataintelo Tags Computer Vision Market, Computer Vision Market analysis, Computer Vision Market forecast, Computer Vision Market players, Computer Vision Market scope, Computer Vision Market Share, Computer Vision Market size, Computer Vision Market trends ← Thyristor Market 2020 – Detailed Analysis of Current Industry Figures with Forecasts Growth By 2027 → Electric Vehicle Charging Infrastructure Market Report: Price, New Entrants SWOT Analysis, Competitive Landscape and Gross Margin Forecasted reports and data Space Energy News Finance Contact Search for: Recent Posts Global DSP Industry 2020 Market Research With Size, Growth, Manufacturers, Segments And 2026 Forecasts Research Smart Augmented Reality (Ar) Glasses Market Forecast 2020–2025 | COVID -19 Impact Report With Top Key Players-Toshiba Corporation (Japan), Qualcomm Technologies, Inc. (US), Augmate, Magic Leap, Inc., Epson America, Inc., Penny AB (Sweden), DAQRI Emu Oil Market Forecast 2020–2025 | COVID -19 Impact Report With Top Key Players- Progressive Emu Inc., Emu Tracks, Dr. Adorable Inc., Baramul Emu Oil, Uniquely Emu Products, Inc., Only Emu Products Comprehensive Analysis of Fingertip Pulse Oximetry Market Profitable Key Business Trends Growth Rate and Top Key Players Global Thin Film Photovoltaics (Pv) Market Analysis 2020 By Application, Trend, Key Manufacturer, Revenue, Type, Sales, Segmentation, Industry Growth & Forecast 2025 Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Energy Finance News Space Uncategorized Meta Log in Entries feed Comments feed WordPress.org © 2020 The Think Curiouser Powered by WordPress To the top ↑ Up ↑
Computer Vision Market to Reflect Significant Growth During 2020?2026
Computer Vision Market Reflect Significant Growth During 2020?2026 Basler, Omron, Keyence, National Instruments, Sony, Teledyne Technologies, The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories News Computer Vision Market Reflect Significant Growth During 2020?2026 Basler, Omron, Keyence, National Instruments, Sony, Teledyne Technologies, Post author By Alex Post date October 22, 2020 The Global Computer Vision Market report dataintelo provides detailed analysis area marketplace expanding; competitive landscape; global, regional, countrylevel market size; impact market players; market growth analysis; market share; opportunities analysis; product launches; recent developments; sales analysis; segmentation growth; technological innovations; value chain optimization. This latest report, covering current COVID19 impact market. The pandemic Coronavirus COVID19 affected aspect life globally. This brought changes market conditions. The rapidly changing market scenario initial future assessment impact covered report. Request Free Sample Of This Report At: Market Segmentation The Global Computer Vision Market divided product types, application, regions. These segments provide accurate calculations forecasts sales terms volume value. This analysis help customers increase business calculated decisions. By Product Types,PC BasedSmart Camera Based By Applications,AutomotiveHealthcareConsumer ElectronicsFood PackagingOthers By Regions Countries,Asia Pacific: China, Japan, India, Rest Asia PacificEurope: Germany, UK, France, Rest EuropeNorth America: The US, Mexico, CanadaLatin America: Brazil Rest Latin AmericaMiddle East Africa: GCC Countries Rest Middle East Africa The regional analysis segment highly comprehensive report global Computer Vision market. This section offers information sales growth regions countrylevel Computer Vision market. The historical forecast information provided report span 2018 2026. The report provides detailed volume analysis regionwise market size analysis market. Competitive Landscape Computer Vision Market The chapter competitive landscape provides information key company overview, global presence, sales revenue generated, market share, prices, strategies used. Major players global Computer Vision Market include BaslerOmronKeyenceNational InstrumentsSonyTeledyne Technologies To Purchase This Report: The Computer Vision Market Report Addresses: Estimated size market The segment accounted large market share past The segment anticipated account dominant market share 2026? Governing bodies Key region market Lucrative opportunities market The Report Provides: An overview market Comprehensive analysis market Analyses recent developments market Events market scenario past years Emerging market segments regional markets Segmentations second andor level Historical, current, estimated market size terms value volume Competitive analysis, company overview, products, revenue, strategies. Impartial assessment market Strategic recommendations help companies increase market presence For Best Discount Purchasing Report Visit About DataIntelo:DATAINTELO set benchmark market research industry providing syndicated customized research report clients. The database company updated daily basis prompt clients latest trends indepth analysis industry. Our pool database contains industry verticals include: IT Telecom, Food Beverage, Automotive, Healthcare, Chemicals Energy, Consumer foods, Food beverages, more. Each report goes proper research methodology, validated professionals analysts ensure eminent quality reports. Info: Name: Alex MathewsAddress: 500 East E Street, Ontario,CA 91764, United States.Phone No: USA: 1 909 545 6473Email: [emailprotected]Website: Tags Computer Vision Market, Computer Vision Market analysis, Computer Vision Market forecast, Computer Vision Market players, Computer Vision Market scope, Computer Vision Market Share, Computer Vision Market size, Computer Vision Market trends Thyristor Market 2020 Detailed Analysis Current Industry Figures Forecasts Growth By 2027 Electric Vehicle Charging Infrastructure Market Report: Price, New Entrants SWOT Analysis, Competitive Landscape Gross Margin Forecasted reports data Space Energy News Finance for: Recent Posts Global DSP Industry 2020 Market Research With Size, Growth, Manufacturers, Segments And 2026 Forecasts Research Smart Augmented Reality Ar Glasses Market Forecast 20202025 COVID 19 Impact Report With Top Key PlayersToshiba Corporation Japan, Qualcomm Technologies, . US, Augmate, Magic Leap, ., Epson America, ., Penny AB Sweden, DAQRI Emu Oil Market Forecast 20202025 COVID 19 Impact Report With Top Key Players Progressive Emu ., Emu Tracks, Dr. Adorable ., Baramul Emu Oil, Uniquely Emu Products, ., Only Emu Products Comprehensive Analysis Fingertip Pulse Oximetry Market Profitable Key Business Trends Growth Rate Top Key Players Global Thin Film Photovoltaics Pv Market Analysis 2020 By Application, Trend, Key Manufacturer, Revenue, Type, Sales, Segmentation, Industry Growth Forecast 2025 Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Energy Finance News Space Uncategorized Meta Log Entries feed Comments feed 2020 The Think Curiouser Powered WordPress To Up
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"america", "brazil", "rest", "latin", "americamiddle", "east", "africa", "gcc", "countries", "rest", "middle", "east", "africa", "regional", "analysis", "segment", "highly", "comprehensive", "report", "global", "vision", "market", "section", "offers", "information", "sales", "growth", "regions", "countrylevel", "vision", "market", "historical", "forecast", "information", "provided", "report", "span", "report", "provides", "detailed", "volume", "analysis", "regionwise", "market", "size", "analysis", "market", "competitive", "landscape", "vision", "market", "chapter", "competitive", "landscape", "provides", "information", "key", "company", "overview", "global", "presence", "sales", "revenue", "generated", "market", "share", "prices", "strategies", "major", "players", "global", "vision", "market", "include", "technologies", "purchase", "report", "vision", "market", "report", "addresses", "estimated", "size", "market", "segment", "accounted", "large", "market", "share", "past", "segment", 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https://thinkcuriouser.com/uncategorized/355832/global-machine-learning-in-finance-market-2020-2026-latest-covid19-impact-analysis-know-about-brand-players-ignite-ltd-yodlee-trill-a-i-mindtitan-accenture-etc-inforgrowth/
2020-10-28T00:00:00
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Global Machine Learning in Finance Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, etc. | InForGrowth – The Think Curiouser
Global Machine Learning in Finance Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, etc. | InForGrowth – The Think Curiouser Skip to the content Search The Think Curiouser Menu Space Energy News Finance Contact Search Search for: Close search Close Menu Space Energy News Finance Contact Categories Uncategorized Global Machine Learning in Finance Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, etc. | InForGrowth Post author By basavraj.t Post date October 27, 2020 Machine Learning in Finance Market Reports provide results and potential opportunities and challenges to future Machine Learning in Finance industry growth. Machine Learning in Finance market research reports offers five-year revenue forecasts through 2024 within key segments of the Machine Learning in Finance industry. The Global Machine Learning in Finance Market is poised to grow strong during the forecast period 2017 to 2026. Machine Learning in Finance market is the definitive study of the global Machine Learning in Finance industry. The report content includes technology, industry drivers, geographic trends, market statistics, market forecasts, producers, and raw material/equipment suppliers. If you are planning to invest into new products or trying to understand this growing market, this report is your starting point. Get Exclusive Sample PDF Copy:https://inforgrowth.com/sample-request/6663407/machine-learning-in-finance-market The Machine Learning in Finance industry study concludes with a list of leading companies/suppliers operating in this industry at different stages of the value chain. Major Classifications of Machine Learning in Finance Market: Major Key players covered in this report:–  Ignite Ltd Yodlee Trill A.I. MindTitan Accenture ZestFinance. By Product Type:  Supervised Learning Unsupervised Learning Semi Supervised Learning Reinforced Leaning By Applications:  Application A Application B Application C Get Chance of 20% Extra Discount, If your Company is Listed in Above Key Players List https://inforgrowth.com/discount/6663407/machine-learning-in-finance-market The Machine Learning in Finance market research report provides a concise and clear overview of this complex and often dynamic industry. The report dives into the trends in the specialty Machine Learning in Finance industry by looking at the market from a regional perspective, application perspective, and materials point of view. As a market with significant growth potential, we look not only at the market today, but also at how it will develop over the next three years and the trends and developments that will drive growth.   Machine Learning in Finance Market Overview:  A 100+ page detailed analysis document, with insightful tables, figures and charts Understand the impact of Raw Materials, with precise needs Detailed profiles of the Top companies with their market share in each segment Report includes: market analysis, main users & suppliers, top selling products and 2023 forecasts Impact of COVID-19: Machine Learning in Finance Market report analyses the impact of Coronavirus (COVID-19) on the Machine Learning in Finance industry. Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Machine Learning in Finance market in 2020. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future. COVID-19 can affect the global economy in 3 main ways: by directly affecting production and demand, by creating supply chain and market disturbance, and by its financial impact on firms and financial markets. Get Sample Table of Content PDF of COVID-19/CoronaVirus Impact Analysis of Machine Learning in Finance Market 2020.https://inforgrowth.com/CovidImpact-Request/6663407/machine-learning-in-finance-market   Why Buy This Machine Learning in Finance Market Report? Get accurate data and strategic insights on the worldwide Machine Learning in Finance market & key players. What is the market share and respective growth rate between the various application segments? Between developed and emerging economic regions? Apprehend the magnitude of latest manufacturing trends (future trends, upcoming technologies etc). As global capacity for and production in Machine Learning in Finance market to increase, which geographic regions will have the largest volume and highest growth rates for Machine Learning in Finance consumption? For investors & private equity firms: identify the best companies to invest in. Industrial Analysis of Machine Learning in Finance Market: FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT:Address: 6400 Village Pkwy suite # 104, Dublin, CA 94568, USAContact Name: Rohan S.Email:[email protected]Phone: +1-909-329-2808UK: +44 (203) 743 1898 Tags Machine Learning in Finance, Machine Learning in Finance Industry, Machine Learning in Finance Market ← Waste Management Remediation Services Market 2020 | Know the Latest COVID19 Impact Analysis And Strategies of Key Players: Waste Management, Republic Services, Clean Harbors, Stericycle, Progressive Waste Solutions, etc. | InForGrowth Space Energy News Finance Contact Search for: Recent Posts Global Machine Learning in Finance Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, etc. | InForGrowth Waste Management Remediation Services Market 2020 | Know the Latest COVID19 Impact Analysis And Strategies of Key Players: Waste Management, Republic Services, Clean Harbors, Stericycle, Progressive Waste Solutions, etc. | InForGrowth Dried Blueberries Market Solid Analyzed Segmentation, Demand, Recent Share Estimation and Growth Prospects by Regions to 2029 Japan Solar PV Generators Market Competitive Intelligence Analysis 2019-2025 Vehicle Routing and Scheduling Market Study Offers In-depth Insights Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Energy Finance News Space Uncategorized Meta Log in Entries feed Comments feed WordPress.org © 2020 The Think Curiouser Powered by WordPress To the top ↑ Up ↑
Global Machine Learning in Finance Market (2020-2026)
Global Machine Learning Finance Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, etc. InForGrowth The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Uncategorized Global Machine Learning Finance Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, etc. InForGrowth Post author By basavraj.t Post date October 27, 2020 Machine Learning Finance Market Reports provide results potential opportunities challenges future Machine Learning Finance industry growth. Machine Learning Finance market research reports offers fiveyear revenue forecasts 2024 key segments Machine Learning Finance industry. The Global Machine Learning Finance Market poised grow strong forecast period 2017 2026. Machine Learning Finance market definitive study global Machine Learning Finance industry. The report content includes technology, industry drivers, geographic trends, market statistics, market forecasts, producers, raw materialequipment suppliers. If planning invest new products trying understand growing market, report starting point.Get Exclusive Sample PDF Copy: The Machine Learning Finance industry study concludes list leading companiessuppliers operating industry different stages value chain. Major Classifications Machine Learning Finance Market: Major Key players covered report: Ignite Ltd Yodlee Trill A.I. MindTitan Accenture ZestFinance. By Product Type: Supervised Learning Unsupervised Learning Semi Supervised Learning Reinforced Leaning By Applications: Application A Application B Application C Get Chance 20 Extra Discount, If Company Listed Above Key Players List The Machine Learning Finance market research report provides concise clear overview complex dynamic industry. The report dives trends specialty Machine Learning Finance industry looking market regional perspective, application perspective, materials point view. As market significant growth potential, look market today, develop years trends developments drive growth. Machine Learning Finance Market Overview: A 100 detailed analysis document, insightful tables, figures charts Understand impact Raw Materials, precise needs Detailed profiles Top companies market share segment Report includes: market analysis, main users suppliers, selling products 2023 forecasts Impact COVID19:Machine Learning Finance Market report analyses impact Coronavirus COVID19 Machine Learning Finance industry. Since COVID19 virus outbreak December 2019, disease spread 180 countries globe World Health Organization declaring public health emergency. The global impacts coronavirus disease 2019 COVID19 starting felt, significantly affect Machine Learning Finance market 2020. The outbreak COVID19 brought effects aspects, like flight cancellations; travel bans quarantines; restaurants closed; indoor events restricted; emergency declared countries; massive slowing supply chain; stock market unpredictability; falling business assurance, growing panic population, uncertainty future. COVID19 affect global economy 3 main ways: directly affecting production demand, creating supply chain market disturbance, financial impact firms financial markets. Get Sample Table Content PDF COVID19CoronaVirus Impact Analysis Machine Learning Finance Market 2020. Why Buy This Machine Learning Finance Market Report? Get accurate data strategic insights worldwide Machine Learning Finance market key players. What market share respective growth rate application segments? Between developed emerging economic regions? Apprehend magnitude latest manufacturing trends future trends, upcoming technologies etc. As global capacity production Machine Learning Finance market increase, geographic regions largest volume highest growth rates Machine Learning Finance consumption? For investors private equity firms: identify best companies invest in. Industrial Analysis Machine Learning Finance Market: FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT:Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S.Email:[emailprotected]Phone: 19093292808UK: 44 203 743 1898 Tags Machine Learning Finance, Machine Learning Finance Industry, Machine Learning Finance Market Waste Management Remediation Services Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Waste Management, Republic Services, Clean Harbors, Stericycle, Progressive Waste Solutions, etc. InForGrowth Space Energy News Finance for: Recent Posts Global Machine Learning Finance Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture, etc. InForGrowth Waste Management Remediation Services Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Waste Management, Republic Services, Clean Harbors, Stericycle, Progressive Waste Solutions, etc. InForGrowth Dried Blueberries Market Solid Analyzed Segmentation, Demand, Recent Share Estimation Growth Prospects Regions 2029 Japan Solar PV Generators Market Competitive Intelligence Analysis 20192025 Vehicle Routing Scheduling Market Study Offers Indepth Insights Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Energy Finance News Space Uncategorized Meta Log Entries feed Comments feed 2020 The Think Curiouser Powered WordPress To Up
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"production", "demand", "creating", "supply", "chain", "market", "disturbance", "financial", "impact", "firms", "financial", "markets", "sample", "table", "content", "pdf", "covid", "coronavirus", "impact", "analysis", "machine", "learning", "finance", "market", "buy", "machine", "learning", "finance", "market", "report", "accurate", "data", "strategic", "insights", "worldwide", "machine", "learning", "finance", "market", "key", "players", "market", "share", "respective", "growth", "rate", "application", "segments", "developed", "emerging", "economic", "regions", "apprehend", "magnitude", "latest", "manufacturing", "trends", "future", "trends", "upcoming", "technologies", "global", "capacity", "production", "machine", "learning", "finance", "market", "increase", "geographic", "regions", "largest", "volume", "highest", "growth", "rates", "machine", "learning", "finance", "consumption", "investors", "private", "equity", "firms", "identify", "best", "companies", "invest", "industrial", 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https://ticker.tv/news/meta-unveils-ai-assistant-for-whatsapp-messenger-and-instagram/65192/
2023-09-29T00:00:00
en
Meta Introduces Meta AI: Enhancing User Interaction with Advanced AI Technologies
Meta Introduces Meta AI: Enhancing User Interaction with Advanced AI Technologies Skip to contentThursday, September 28, 2023TickerTV NewsConnecting the World: Unveiling the Power and Pitfalls of Social Media MenuNewsFacebookInstagramLinkedInPinterestRedditSnapchatTelegramTikTokTwitterWeChatWhatsAppYouTubeNetflixContact Search for: HomeNewsMeta Introduces Meta AI: Enhancing User Interaction with Advanced AI Technologies Meta Introduces Meta AI: Enhancing User Interaction with Advanced AI Technologies Facebook Instagram News WhatsApp 28 September 2023 Tanya KingMeta has recently announced the launch of Meta AI, a suite of AI-powered experiences that aim to improve user interaction across its apps and devices. Leveraging advanced AI technologies, including its Llama 2 large language model, Meta AI introduces new forms of connection, expression, and creativity.Under the Meta AI umbrella, one notable feature is the introduction of AI stickers. These stickers, powered technology from Llama 2 and the newly announced Emu image enhancing AI, allow users to generate customized stickers for chats and stories in apps like WhatsApp, Messenger, Instagram, and Facebook Stories. This feature provides users with a creative way to express themselves and is set to roll out to select English-language users in the coming month.In addition, Meta is set to launch innovative image editing features, Restyle and Backdrop, on Instagram. Restyle enables users to apply various visual styles to their images through descriptive prompts, while Backdrop allows for changing the scene or background of an image based on user input. These features offer users more creative freedom and are developed with transparency in mind, indicating the use of AI in generating the content.Meta AI also introduces a new conversational assistant called Meta AI, available on apps like WhatsApp, Messenger, Instagram, and soon, Ray-Ban Meta smart glasses and Quest 3. Powered a custom model incorporating technology from Llama 2 and the company’s latest large language model research, Meta AI offers real-time information through a search partnership with Bing and provides image generation tools.Alongside Meta AI, Meta is introducing 28 additional AI characters, each with unique personalities and backstories. These characters, portrayed cultural icons and influencers, bring a diverse and entertaining range of AI companions to apps like WhatsApp, Messenger, and Instagram.Meta has also launched AI Studio, a platform that supports the creation of AIs for messaging services. This platform, accessible to external developers, allows businesses and creators to develop third-party AIs that align with their brand values and enhance customer service experiences. Meta also plans to release a sandbox for experimenting with AI creation, aimed at fostering realism, embodiment, and connectedness in the metaverse.User safety is a priority for Meta, and the company emphasizes its commitment to building responsibly. Meta continuously tests and evolves its AIs, actively seeking user feedback to improve the overall experience. User interactions and direct feedback are vital in refining the AI models and enhancing user experiences at scale.Meta’s introduction of Meta AI and its associated features represents a significant step towards creating a more interactive and personalized digital ecosystem. By leveraging advanced AI technologies and fostering user engagement, Meta aims to enhance user interactions across its family of apps and devices, providing users with new avenues for connection, expression, and creativity.Sources: – AI-Powered Experiences and Meta AI: Meta Announcement – Customized AI Stickers and Image Editing Features: Meta Announcement – Meta AI and a Cast of Characters: Meta Announcement – AI Studio and Developer Opportunities: Meta Announcement – Safety and User Feedback: Meta AnnouncementPost navigationViral Video Shows Virat Kohli and Steve Smith’s Friendly Banter During India vs. Australia MatchThe Believer 2 Netflix Release Date: Everything You Need to Know Tanya King Related Posts Activision Blizzard Drops Lawsuit Against TikTok User 15 August 2023 Tanya King Review: Love, Sex & 30 Candles Explores the Turbulent Lives of Four Friends at 30 27 August 2023 Cheryl King Bridesmaid Hairstyle Ideas: Choosing the Perfect Look for the Special Day 14 August 2023 Tanya KingSearchSearchRecent PostsHow to Watch Hallmark Countdown to Christmas Online: Streaming Options and Free Trials28 Epic Fails That Will Make You CringeF1’s Social Media Reach Hits a Roadblock: Decline in Growth and EngagementHow to Control Screen Time on Instagram, TikTok, and YouTubeSocial Media Influencer Arrested for Looting in PhiladelphiaRecent CommentsNo comments to show. | .ContactPrivacy Policy
Meta Introduces Meta AI: Enhancing User Interaction with Advanced AI Technologies
Meta Introduces Meta AI: Enhancing User Interaction Advanced AI Technologies Skip contentThursday, September 28, 2023TickerTV NewsConnecting World: Unveiling Power Pitfalls Social Media MenuNewsFacebookInstagramLinkedInPinterestRedditSnapchatTelegramTikTokTwitterWeChatWhatsAppYouTubeNetflix for: HomeNewsMeta Introduces Meta AI: Enhancing User Interaction Advanced AI Technologies Meta Introduces Meta AI: Enhancing User Interaction Advanced AI Technologies Facebook Instagram News WhatsApp 28 September 2023 Tanya KingMeta recently announced launch Meta AI, suite AIpowered experiences aim improve user interaction apps devices. Leveraging advanced AI technologies, including Llama 2 large language model, Meta AI introduces new forms connection, expression, creativity.Under Meta AI umbrella, notable feature introduction AI stickers. These stickers, powered technology Llama 2 newly announced Emu image enhancing AI, allow users generate customized stickers chats stories apps like WhatsApp, Messenger, Instagram, Facebook Stories. This feature provides users creative way express set roll select Englishlanguage users coming month.In addition, Meta set launch innovative image editing features, Restyle Backdrop, Instagram. Restyle enables users apply visual styles images descriptive prompts, Backdrop allows changing scene background image based user input. These features offer users creative freedom developed transparency mind, indicating use AI generating content.Meta AI introduces new conversational assistant called Meta AI, available apps like WhatsApp, Messenger, Instagram, soon, RayBan Meta smart glasses Quest 3. Powered custom model incorporating technology Llama 2 companys latest large language model research, Meta AI offers realtime information search partnership Bing provides image generation tools.Alongside Meta AI, Meta introducing 28 additional AI characters, unique personalities backstories. These characters, portrayed cultural icons influencers, bring diverse entertaining range AI companions apps like WhatsApp, Messenger, Instagram.Meta launched AI Studio, platform supports creation AIs messaging services. This platform, accessible external developers, allows businesses creators develop thirdparty AIs align brand values enhance customer service experiences. Meta plans release sandbox experimenting AI creation, aimed fostering realism, embodiment, connectedness metaverse.User safety priority Meta, company emphasizes commitment building responsibly. Meta continuously tests evolves AIs, actively seeking user feedback improve overall experience. User interactions direct feedback vital refining AI models enhancing user experiences scale.Metas introduction Meta AI associated features represents significant step creating interactive personalized digital ecosystem. By leveraging advanced AI technologies fostering user engagement, Meta aims enhance user interactions family apps devices, providing users new avenues connection, expression, creativity.Sources: AIPowered Experiences Meta AI: Meta Announcement Customized AI Stickers Image Editing Features: Meta Announcement Meta AI Cast Characters: Meta Announcement AI Studio Developer Opportunities: Meta Announcement Safety User Feedback: Meta AnnouncementPost navigationViral Video Shows Virat Kohli Steve Smiths Friendly Banter During India vs. Australia MatchThe Believer 2 Netflix Release Date: Everything You Need Know Tanya King Related Posts Activision Blizzard Drops Lawsuit Against TikTok User 15 August 2023 Tanya King Review: Love, Sex 30 Candles Explores Turbulent Lives Four Friends 30 27 August 2023 Cheryl King Bridesmaid Hairstyle Ideas: Choosing Perfect Look Special Day 14 August 2023 Tanya KingRecent PostsHow Watch Hallmark Countdown Christmas Online: Streaming Options Free Trials28 Epic Fails That Will Make You CringeF1s Social Media Reach Hits Roadblock: Decline Growth EngagementHow Control Screen Time Instagram, TikTok, YouTubeSocial Media Influencer Arrested Looting PhiladelphiaRecent CommentsNo comments show. .
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"characters", "meta", "announcement", "ai", "studio", "developer", "opportunities", "meta", "announcement", "safety", "user", "feedback", "meta", "navigationviral", "video", "shows", "virat", "kohli", "steve", "smiths", "friendly", "banter", "india", "vs", "australia", "matchthe", "believer", "netflix", "release", "date", "need", "know", "tanya", "king", "related", "posts", "activision", "blizzard", "drops", "lawsuit", "tiktok", "user", "august", "tanya", "king", "review", "love", "sex", "candles", "explores", "turbulent", "lives", "friends", "august", "cheryl", "king", "bridesmaid", "hairstyle", "ideas", "choosing", "perfect", "look", "special", "day", "august", "tanya", "kingrecent", "postshow", "watch", "hallmark", "countdown", "christmas", "online", "streaming", "options", "free", "trials", "epic", "fails", "cringef", "social", "media", "reach", "hits", "roadblock", "decline", "growth", "engagementhow", "control", "screen", "time", "instagram", "tiktok", "youtubesocial", "media", "influencer", "arrested", "looting", "commentsno", "comments" ]
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The Impact of Artificial Intelligence in the Healthcare Industry
The Impact of Artificial Intelligence in the Healthcare Industry Skip to contentMonday, October 09, 2023TickerTV NewsConnecting the World: Unveiling the Power and Pitfalls of Social Media MenuNewsFacebookInstagramLinkedInPinterestRedditSnapchatTelegramTikTokTwitterWeChatWhatsAppYouTubeNetflixContact Search for: HomeNewsThe Impact of Artificial Intelligence in the Healthcare Industry The Impact of Artificial Intelligence in the Healthcare Industry News 9 October 2023 Tanya KingArtificial Intelligence (AI) has revolutionized various industries, and one area in particular that has seen significant advancements is healthcare. With its ability to process vast amounts of data and identify patterns, AI is transforming the way healthcare professionals diagnose diseases, develop treatment plans, and improve patient outcomes.AI can assist in the early detection and diagnosis of diseases analyzing medical imaging data such as X-rays, CT scans, and MRIs. By leveraging machine learning algorithms, AI can identify subtle changes in these images that might indicate the presence of a disease or condition, helping doctors make more accurate diagnoses. This not only saves time but also improves the chances of successful treatment.Another area where AI is making a profound impact is drug discovery and development. Traditional drug discovery can be a time-consuming and expensive process. However, with AI, researchers can analyze large datasets and simulate molecular interactions to identify potential drug candidates more quickly and efficiently. This has the potential to accelerate the development of new therapies for various diseases, including cancer, HIV, and Alzheimer’s.Furthermore, AI-powered chatbots and virtual assistants are revolutionizing patient care and improving accessibility to healthcare services. These AI-driven tools can interact with patients, answer their questions, and provide personalized recommendations for self-care. This not only reduces the burden on medical professionals but also enables patients to access healthcare information and support anytime, anywhere.Despite these advancements, it is important to note that AI in healthcare is still in its early stages. As with any technology, there are challenges to overcome, including privacy concerns, data security, and ethical considerations. However, the potential benefits of AI in healthcare are immense, and with ongoing research and development, AI has the potential to revolutionize the healthcare industry, improve patient outcomes, and save lives.Sources: – Jowena Riley, “The Impact of Artificial Intelligence in the Healthcare Industry”, date, publication (if available)Post navigationKyle Walker Sends Defiant Message to Manchester City Fans Following ConfrontationHow to Watch and Stream Pixar’s ‘Piper’ Online on Disney Plus Tanya King Related Posts The Premier League Returns with Liverpool vs Wolverhampton 16 September 2023 Cheryl King Daily Mail Surpasses 6.5 Million Followers on TikTok 5 October 2023 Tanya King Blac Chyna Shares Daughter’s Photo and Intense Workout Regimen on Instagram 16 August 2023 Betty DavisSearchSearchRecent PostsHow to Watch and Stream Pixar’s ‘Piper’ Online on Disney PlusThe Impact of Artificial Intelligence in the Healthcare IndustryKyle Walker Sends Defiant Message to Manchester City Fans Following ConfrontationDelhi Metro Expands WhatsApp Ticketing System to All LinesHow to Delete Your Snapchat Account: A Step-by-Step GuideRecent CommentsNo comments to show. | .ContactPrivacy Policy
The Impact of Artificial Intelligence in the Healthcare Industry
The Impact Artificial Intelligence Healthcare Industry Skip contentMonday, October 09, 2023TickerTV NewsConnecting World: Unveiling Power Pitfalls Social Media MenuNewsFacebookInstagramLinkedInPinterestRedditSnapchatTelegramTikTokTwitterWeChatWhatsAppYouTubeNetflix for: HomeNewsThe Impact Artificial Intelligence Healthcare Industry The Impact Artificial Intelligence Healthcare Industry News 9 October 2023 Tanya KingArtificial Intelligence AI revolutionized industries, area particular seen significant advancements healthcare. With ability process vast amounts data identify patterns, AI transforming way healthcare professionals diagnose diseases, develop treatment plans, improve patient outcomes.AI assist early detection diagnosis diseases analyzing medical imaging data Xrays, CT scans, MRIs. By leveraging machine learning algorithms, AI identify subtle changes images indicate presence disease condition, helping doctors accurate diagnoses. This saves time improves chances successful treatment.Another area AI making profound impact drug discovery development. Traditional drug discovery timeconsuming expensive process. However, AI, researchers analyze large datasets simulate molecular interactions identify potential drug candidates quickly efficiently. This potential accelerate development new therapies diseases, including cancer, HIV, Alzheimers.Furthermore, AIpowered chatbots virtual assistants revolutionizing patient care improving accessibility healthcare services. These AIdriven tools interact patients, answer questions, provide personalized recommendations selfcare. This reduces burden medical professionals enables patients access healthcare information support anytime, anywhere.Despite advancements, important note AI healthcare early stages. As technology, challenges overcome, including privacy concerns, data security, ethical considerations. However, potential benefits AI healthcare immense, ongoing research development, AI potential revolutionize healthcare industry, improve patient outcomes, save lives.Sources: Jowena Riley, The Impact Artificial Intelligence Healthcare Industry, date, publication availablePost navigationKyle Walker Sends Defiant Message Manchester City Fans Following ConfrontationHow Watch Stream Pixars Piper Online Disney Plus Tanya King Related Posts The Premier League Returns Liverpool vs Wolverhampton 16 September 2023 Cheryl King Daily Mail Surpasses 6.5 Million Followers TikTok 5 October 2023 Tanya King Blac Chyna Shares Daughters Photo Intense Workout Regimen Instagram 16 August 2023 Betty DavisRecent PostsHow Watch Stream Pixars Piper Online Disney PlusThe Impact Artificial Intelligence Healthcare IndustryKyle Walker Sends Defiant Message Manchester City Fans Following ConfrontationDelhi Metro Expands WhatsApp Ticketing System All LinesHow Delete Your Snapchat Account: A StepbyStep GuideRecent CommentsNo comments show. .
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https://timesofindia.indiatimes.com/business/india-business/vande-bharat-mission-starts-with-2-ai-express-flights-scheduled-to-reach-kerala-from-gulf-tonight/articleshow/75600970.cms
2020-05-07T00:00:00
en
Vande Bharat Mission starts with 2 AI Express flights scheduled to reach Kerala from Gulf tonight - Times of India
Vande Bharat Mission starts with 2 AI Express flights scheduled to reach Kerala from Gulf tonight - Times of IndiaEnglishहिन्दीमराठीবাংলা ગુજરાતીಕನ್ನಡதமிழ்తెలుగుമലയാളം|Epaper|GadgetsNowSign InTOITOIBusinessBriefsWorldBusinessSportsEntertainmentTVLifestylePhotosEducationPoliticsElectionsBusinessIndia BusinessInternational BusinessSensexPhotosVideosGSTBudgetTax CalculatorFAQsNews HomeCitySmart CitiesIndiaElections 2020PoliticsWorldCitizen ReporterNRIPollutionHeadlinesPodcastsSunday TimesGood NewsTOI FeaturesSpecialsTimes Fact CheckGood GovernanceEditorialsTOI EditorialsET EditorialsEntertainmentMovie ReviewsPhotos (ETIMES)MusicBeauty PageantsEventsFilmfareVideosLive TVTVTV NewsTV ListingsTimes NowET NowZoom TVBusinessStartupsIndia BusinessInternational BusinessLifestyleFeminaWomenAutoTravelRecipesSportsCricketIPLFootballTOISANewMost Searched ProductsElectronicsFashionBeautyHealth & FitnessToday's DealsFood & BeveragesHome Decor & GardenOpinionInfographicsHumourCartoonsCampaignsBlogsSocialViral NewsTrending NewsEducationEducation FestEnvironmentBennett UniversityTOI StudentTimes Study AbroadJobsAstrologyHoroscopePlanets & TransitsRituals & PujaTechnologyLatest NewsTech PhotosLatest GadgetsReviewsCompare GadgetsGadgets NewsServicesMediawireEpaperNewspaper SubscriptionReal EstateLaunchpadClassifiedsArchivesPropertyBe SwatantraCouponsBudgetIFSCPAN CardAadhaar CardIPOIncome TaxSavings Growth CalculatorIncome Tax SlabsTax DeductionsNewsBUSINESS NEWSIndia Business NewsVande Bharat Mission starts with 2 AI Express flights scheduled to reach Kerala from Gulf tonightTop Searches:Sensex TodayNirmala SitharamanAir IndiaMukesh AmbaniRatan TataVande Bharat Mission starts with 2 AI Express flights scheduled to reach Kerala from Gulf tonightSaurabh Sinha | TNN | Updated: May 7, 2020, 17:48 ISTAir India Express aircraft which took off from Kerala for Abu Dhabi to bring back stranded Indians. (File phot...Read MoreNEW DELHI: The mammoth Vande Bharat Mission of flying back lakhs of Indians stranded abroad will see the first set of countrymen returning home on Thursday night when two Air India Express flights reach Kerala from the Gulf with 363 people on board. IX 452 is scheduled to take off from Abu Dhabi for Kochi with 181 people on board (161 adults, 16 children and four infants) while, IX 344 will operate from Dubai to Kozhikode with 182 on board (164 adults, 13 children and five infants). Both these flights are expected to take off after 5 pm on Thursday (local time) from the Gulf and reach India later tonight. Both the 189-seater Boeing 737s of AI Express took off from Kerala with two pilots and four cabin crew members on board each aircraft earlier this morning. The low cost arm of AI, which will operate 23 repatriation flights in the first week of Vande Bharat Mission, will keep last two rows of each aircraft vacant for seating any passenger showing Covid symptoms enroute in isolation. Crew members of Air India Express Kozhikode-Dubai flightThus, the effective seating available is 177 (189-12 vacant seats in last two rows). Both the Abu Dhabi-Kochi and Dubai-Kozhikode will have all their 177 seats occupied and some infants in their parents’ laps. Kochi-Abu Dhabi flight reached Abu Dhabi at 2.50 pm (local time). Crew wears PPE before opening aircraft door to begin process of return flight with Indians stranded there.As per protocol, the crew members will wear full protective gear before opening aircraft gate on reaching the destination from where Indians are being flown back. “Passengers have been asked to wear masks and gloves at airports from where they will be boarding flights. When they board, we will be given a pack with two masks and a bottle of 100-ml sanitiser. A packed meal box with two cheese sandwiches, a fruit cake slice and 500 ml water bottle will be given to each guest. They and the crew will mandatorily all wear masks throughout the journey,” said an official. More on Covid-19 Coronavirus pandemic: Complete Coverage Lockdown 3.0: What's allowed and what's not in the three zones It's time to mask up and stay safe: Join TOI's #MaskIndia campaign MHA's guidelines for home isolation Trust the newspaper for your daily verified news AI Express had to make lot of preparations to operate the first batch of 23 allotted flights under Vande Bharat. Since schedule flights have been suspended from March 25 when the lockdown began, most crew members were in their home towns. “We had to bring them to places like Kochi, Kozhikode and Trivandrum from where they will operate flights. Special permission was taken to open a few hotels to accommodate them and our flight caterer also took clearance to restart the facility to serve for these flights. Covid tests are being conducted and all crew members have been trained for giving basic healthcare at government medical colleges,” said the official. AI Express has tied up with Central Warehousing Corp for disinfection of the aircraft, both passenger and cargo sections, before and after each flight. AI Express will operate flights to fly back Indians from places like Abu Dhabi, Dubai, Bahrain, Kuwait, Sharjah, Doha, Muscat, Kuala Lumpur, Singapore to Kochi, Kozhikode and Trivandrum in Kerala and other Indian cities like Chennai, Lucknow, Bengaluru and Amritsar. 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Vande Bharat Mission starts with 2 AI Express flights scheduled to reach Kerala from Gulf tonight
Vande Bharat Mission starts 2 AI Express flights scheduled reach Kerala Gulf tonight Times IndiaEnglish EpaperGadgetsNowTOITOIBusinessBriefsWorldBusinessSportsEntertainmentTVLifestylePhotosEducationPoliticsElectionsBusinessIndia BusinessInternational BusinessSensexPhotosVideosGSTBudgetTax CalculatorFAQsNews HomeCitySmart CitiesIndiaElections 2020PoliticsWorldCitizen ReporterNRIPollutionHeadlinesPodcastsSunday TimesGood NewsTOI FeaturesSpecialsTimes Fact CheckGood GovernanceEditorialsTOI EditorialsET EditorialsEntertainmentMovie ReviewsPhotos ETIMESMusicBeauty PageantsEventsFilmfareVideosLive TVTVTV NewsTV ListingsTimes NowET NowZoom TVBusinessStartupsIndia BusinessInternational BusinessLifestyleFeminaWomenAutoTravelRecipesSportsCricketIPLFootballTOISANewMost ed ProductsElectronicsFashionBeautyHealth FitnessTodays DealsFood BeveragesHome Decor GardenOpinionInfographicsHumourCartoonsCampaignsBlogsSocialViral NewsTrending NewsEducationEducation FestEnvironmentBennett UniversityTOI StudentTimes Study AbroadJobsAstrologyHoroscopePlanets TransitsRituals PujaTechnologyLatest NewsTech PhotosLatest GadgetsReviewsCompare GadgetsGadgets NewsServicesMediawireEpaperNewspaper SubscriptionReal EstateLaunchpadClassifiedsArchivesPropertyBe SwatantraCouponsBudgetIFSCPAN CardAadhaar CardIPOome TaxSavings Growth Calculatorome Tax SlabsTax DeductionsNewsBUSINESS NEWSIndia Business NewsVande Bharat Mission starts 2 AI Express flights scheduled reach Kerala Gulf tonightTop es:Sensex TodayNirmala SitharamanAir IndiaMukesh AmbaniRatan TataVande Bharat Mission starts 2 AI Express flights scheduled reach Kerala Gulf tonightSaurabh Sinha TNN Updated: May 7, 2020, 17:48 ISTAir India Express aircraft took Kerala Abu Dhabi bring stranded Indians. File phot...Read MoreNEW DELHI: The mammoth Vande Bharat Mission flying lakhs Indians stranded abroad set countrymen returning home Thursday night Air India Express flights reach Kerala Gulf 363 people board. IX 452 scheduled Abu Dhabi Kochi 181 people board 161 adults, 16 children infants while, IX 344 operate Dubai Kozhikode 182 board 164 adults, 13 children infants. Both flights expected 5 pm Thursday local time Gulf reach India later tonight. Both 189seater Boeing 737s AI Express took Kerala pilots cabin crew members board aircraft earlier morning. The low cost arm AI, operate 23 repatriation flights week Vande Bharat Mission, rows aircraft vacant seating passenger showing Covid symptoms enroute isolation. Crew members Air India Express KozhikodeDubai flightThus, effective seating available 177 18912 vacant seats rows. Both Abu DhabiKochi DubaiKozhikode 177 seats occupied infants parents laps. KochiAbu Dhabi flight reached Abu Dhabi 2.50 pm local time. Crew wears PPE opening aircraft door begin process return flight Indians stranded there.As protocol, crew members wear protective gear opening aircraft gate reaching destination Indians flown back. Passengers asked wear masks gloves airports boarding flights. When board, given pack masks bottle 100ml sanitiser. A packed meal box cheese sandwiches, fruit cake slice 500 ml water bottle given guest. They crew mandatorily wear masks journey, said official. More Covid19 Coronavirus pandemic: Complete Coverage Lockdown 3.0: Whats allowed whats zones Its time mask stay safe: Join TOIs MaskIndia campaign MHAs guidelines home isolation Trust newspaper daily verified news AI Express lot preparations operate batch 23 allotted flights Vande Bharat. Since schedule flights suspended March 25 lockdown began, crew members home towns. We bring places like Kochi, Kozhikode Trivandrum operate flights. Special permission taken open hotels accommodate flight caterer took clearance restart facility serve flights. Covid tests conducted crew members trained giving basic healthcare government medical colleges, said official. AI Express tied Central Warehousing Corp disinfection aircraft, passenger cargo sections, flight. AI Express operate flights fly Indians places like Abu Dhabi, Dubai, Bahrain, Kuwait, Sharjah, Doha, Muscat, Kuala Lumpur, Singapore Kochi, Kozhikode Trivandrum Kerala Indian cities like Chennai, Lucknow, Bengaluru Amritsar. 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https://timesofindia.indiatimes.com/education/upskill/top-13-highest-paying-data-science-jobs-in-india/articleshow/100625864.cms
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Top 13 Highest Paying Data Science Jobs in India - Times of India
Top 13 Highest Paying Data Science Jobs in India - Times of IndiaEditionININUSSign InTOIEducationNewsExamsResultsJobsBoardsCareersWeb StoriesEngineeringJEE Main ExamGATE ExamJEE Advanced ExamMedicineNEET UG ExamFuture Skills by EmeritusJEE Main ExamJEE Main Exam DateJEE Main RegistrationJEE Main Application FormJEE Main EligibilityJEE Main SyllabusJEE Main Exam PatternJEE Main Admit CardJEE Main Cut OffJEE Main CounsellingJEE Main Preparation TipsJEE Main Question PaperJEE Main Mock TestJEE Main Dress CodeJEE Main ResultJEE Main Answer KeyJEE Advanced ExamJee Advanced RegistrationJee Advanced EligibilityJee Advanced Exam DateJee Advanced Exam PatternJee Advanced SyllabusJee Advanced Question PaperJee Advanced Mock TestJee Advanced Dress CodeJee Advanced Preparation TipsJee Advanced Admit CardJee Advanced Answer KeyJee Advanced ResultJee Advanced Cut OffJee Advanced CounsellingGATE ExamGATE Application FormGATE Important DatesGATE Admit CardGATE SyllabusGATE Exam PatternGATE Mock TestGATE Preparation TipsGATE Answer KeyGATE ResultGATE Cut OffGATE CounsellingGATE EligibilityCollegesStudy AbroadLearning with TOINewsEducation NewsTop 13 Highest Paying Data Science Jobs in IndiaTrending TopicsUPSC Prelims 2023: Was IAS Prelims 2023 the toughest paper ever?JAC 12th Arts Result: Jharkhand JAC 12th Arts & Commerce results todayUPTET 2023: Notification expected soon, exam likely in Aug or Sept 2023Assam CEE Answer Key: Assam CEE 2023 Objection window for answer key closes todayOSHEC Recruitment 2023: Applications invited for seed funding, research fellowshipUPSC Prelims 2023: Was IAS Prelims 2023 the toughest paper ever?JAC 12th Arts Result: Jharkhand JAC 12th Arts & Commerce results todayUPTET 2023: Notification expected soon, exam likely in Aug or Sept 2023Assam CEE Answer Key: Assam CEE 2023 Objection window for answer key closes todayOSHEC Recruitment 2023: Applications invited for seed funding, research fellowshipUPSC Prelims 2023: Was IAS Prelims 2023 the toughest paper ever?Top 13 Highest Paying Data Science Jobs in IndiaTOI Education / May 31, 2023, 06:00 ISTShareAA+Text SizeSmallMediumLargeYou're readingTop 13 Highest Paying Data Science Jobs in IndiaPlanning to pursue product management? Here’s how ISB’s Product Management Programme can help7 Reasons Why Learning Public Policy is the Key to Success in 202312 Best Product Management Tools You Should KnowData Science requires strong analytical skills, technical proficiency, and the capability to extract useful information from enormous amounts of data. Applied business analytics is one of the paths to a successful data science career as it teaches how to use ML techniques to solve business problems. Source:shutterstockThe field of data science includes a variety of academic specialties. However, for each of these data science positions, it is essential to have strong analytical abilities, technical expertise, and the capacity to extract useful information from enormous quantities of data. If you're looking for a data science career, consider taking an applied business analytics course. Such courses help you to learn how to obtain business data, prepare data for analysis, and analyse data utilising analytics tools. This course teaches you how to use ML techniques to solve business problems in the workplace.Following are a few of the data science positions with the highest salaries: Database Manager: An organisation's databases are maintained by a database manager, who also streamlines information and reporting, detects and fixes issues. National average salary: $65,558 per year.Data Analysts: For businesses with a lot of data, data analysts combine, examine, and offer solutions. They can work in a range of sectors, such as healthcare, IT, professional sports, and finance, to promote efficiency, improve procedures, and lower costs. National average salary: $75,225 per year.Data Warehouse Managers: Data warehouse managers are in charge of maintaining equipment, reporting errors, safeguarding data, and assuring operational effectiveness for data storage facilities. National average salary: $84,221 per year.Database Developers: To optimise their performance and keep them up to date, database developers maintain, upgrade, and programme databases, hardware, and software. National average salary: $89,250 per year.Business Intelligence Analysts: Analysts of business intelligence evaluate corporate data to spot trends and anomalies. To assist in planning and decision-making, they present their findings to business executives and shareholders. National average salary: $96,737 per year.Database Administrators: The daily management of databases and their equipment is done by database administrators. They ensure that databases are safe and that the appropriate employees can access them as necessary. National average salary: $97,730 per year.Statisticians: Companies benefit from statisticians' collection and interpretation of vast amounts of data. They can provide company executives with reports on patterns, mistakes, and discrepancies as well as recommendations. National average salary: $99,055 per year.Business Intelligence Developers: For an organisation, business intelligence developers construct systems and programmes that let users access and interact with the information they require. National average salary: $100,494 per year.Infrastructure Engineer: Infrastructure engineers, sometimes known as cloud engineers, install, operate, and troubleshoot servers, networks, and cloud computing systems for businesses. National average salary: $113,546 per year.Data Scientists: Data scientists assist businesses in identifying problems and developing fresh management frameworks and algorithms to address them. National average salary: $122,519 per year.Data Modellers: Data modellers analyse company trends and forecast future behaviour using their understanding of analytics and statistics. National average salary: $93,476 per year.Big Data Engineers: Big data engineers are in charge of turning massive volumes of data into information that can be used. National average salary: $132,571 per year.Data Architects: Data architects examine the data sources used by an organisation and create the systems and structures needed to manage, collect, analyse, and safeguard this data. National average salary: $133,840 per year.Conclusion:Data science is causing the industry to change. This article reviewed the responsibilities and qualifications for some of the highest-paying data science positions.FAQ’s:What is the highest paid job in Data Science in India?The maximum annual compensation for a data scientist is 25.4 lakhs rupees (2.1 lakhs per month). (Source: Ambitionbox)How much does Google pay to data scientists?The salary range for data scientists at Google India is 8.5 to 85.0 lakhs. (Source: Ambitionbox)Why is data science salary so high?One factor contributing to data scientists' high pay is their high demand.Which stream is best for data scientists?A very solid foundation in computer science and mathematics is typically necessary for becoming a data scientist.Does Google hire data scientists?You need the ideal mindset, coding abilities, work experience, and education to be a data scientist at Google.Start a ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories PreviousPreparing for JEE Advanced: Insights from Top ScorerseducationPreparing for JEE Advanced: Insights from Top ScorerseducationTS EAMCET 2023 Counseling Schedule: Essential Steps for AdmissioneducationTop 10 Career Options for B.Com Pass StudentseducationUPSC Prelims 2023: Insights, Changes, and Subject-wise AnalysiseducationWant to be a Pilot? 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Top 13 Highest Paying Data Science Jobs in India
Top 13 Highest Paying Data Science Jobs India Times IndiaEditionININUSTOIEducationNewsExamsResultsJobsBoardsCareersWeb StoriesEngineeringJEE Main ExamGATE ExamJEE Advanced ExamMedicineNEET UG ExamFuture Skills EmeritusJEE Main ExamJEE Main Exam DateJEE Main RegistrationJEE Main Application FormJEE Main EligibilityJEE Main SyllabusJEE Main Exam PatternJEE Main Admit CardJEE Main Cut OffJEE Main CounsellingJEE Main Preparation TipsJEE Main Question PaperJEE Main Mock TestJEE Main Dress CodeJEE Main ResultJEE Main Answer KeyJEE Advanced ExamJee Advanced RegistrationJee Advanced EligibilityJee Advanced Exam DateJee Advanced Exam PatternJee Advanced SyllabusJee Advanced Question PaperJee Advanced Mock TestJee Advanced Dress CodeJee Advanced Preparation TipsJee Advanced Admit CardJee Advanced Answer KeyJee Advanced ResultJee Advanced Cut OffJee Advanced CounsellingGATE ExamGATE Application FormGATE Important DatesGATE Admit CardGATE SyllabusGATE Exam PatternGATE Mock TestGATE Preparation TipsGATE Answer KeyGATE ResultGATE Cut OffGATE CounsellingGATE EligibilityCollegesStudy AbroadLearning TOINewsEducation NewsTop 13 Highest Paying Data Science Jobs IndiaTrending TopicsUPSC Prelims 2023: Was IAS Prelims 2023 toughest paper ever?JAC 12th Arts Result: Jharkhand JAC 12th Arts Commerce results todayUPTET 2023: Notification expected soon, exam likely Aug Sept 2023Assam CEE Answer Key: Assam CEE 2023 Objection window answer key closes todayOSHEC Recruitment 2023: Applications invited seed funding, research fellowshipUPSC Prelims 2023: Was IAS Prelims 2023 toughest paper ever?JAC 12th Arts Result: Jharkhand JAC 12th Arts Commerce results todayUPTET 2023: Notification expected soon, exam likely Aug Sept 2023Assam CEE Answer Key: Assam CEE 2023 Objection window answer key closes todayOSHEC Recruitment 2023: Applications invited seed funding, research fellowshipUPSC Prelims 2023: Was IAS Prelims 2023 toughest paper ever?Top 13 Highest Paying Data Science Jobs IndiaTOI Education May 31, 2023, 06:00 ISTShareAAText SizeSmallMediumLargeYoure readingTop 13 Highest Paying Data Science Jobs IndiaPlanning pursue product management? Heres ISBs Product Management Programme help7 Reasons Why Learning Public Policy Key Success 202312 Best Product Management Tools You Should KnowData Science requires strong analytical skills, technical proficiency, capability extract useful information enormous amounts data. Applied business analytics paths successful data science career teaches use ML techniques solve business problems. Source:shutterstockThe field data science includes variety academic specialties. However, data science positions, essential strong analytical abilities, technical expertise, capacity extract useful information enormous quantities data. If youre looking data science career, consider taking applied business analytics course. Such courses help learn obtain business data, prepare data analysis, analyse data utilising analytics tools. This course teaches use ML techniques solve business problems workplace.Following data science positions highest salaries: Database Manager: An organisations databases maintained database manager, streamlines information reporting, detects fixes issues. National average salary: 65,558 year.Data Analysts: For businesses lot data, data analysts combine, examine, offer solutions. They work range sectors, healthcare, IT, professional sports, finance, promote efficiency, improve procedures, lower costs. National average salary: 75,225 year.Data Warehouse Managers: Data warehouse managers charge maintaining equipment, reporting errors, safeguarding data, assuring operational effectiveness data storage facilities. National average salary: 84,221 year.Database Developers: To optimise performance date, database developers maintain, upgrade, programme databases, hardware, software. National average salary: 89,250 year.Business Intelligence Analysts: Analysts business intelligence evaluate corporate data spot trends anomalies. To assist planning decisionmaking, present findings business executives shareholders. National average salary: 96,737 year.Database Administrators: The daily management databases equipment database administrators. They ensure databases safe appropriate employees access necessary. National average salary: 97,730 year.Statisticians: Companies benefit statisticians collection interpretation vast amounts data. They provide company executives reports patterns, mistakes, discrepancies recommendations. National average salary: 99,055 year.Business Intelligence Developers: For organisation, business intelligence developers construct systems programmes let users access interact information require. National average salary: 100,494 year.Infrastructure Engineer: Infrastructure engineers, known cloud engineers, install, operate, troubleshoot servers, networks, cloud computing systems businesses. National average salary: 113,546 year.Data Scientists: Data scientists assist businesses identifying problems developing fresh management frameworks algorithms address them. National average salary: 122,519 year.Data Modellers: Data modellers analyse company trends forecast future behaviour understanding analytics statistics. National average salary: 93,476 year.Big Data Engineers: Big data engineers charge turning massive volumes data information used. National average salary: 132,571 year.Data Architects: Data architects examine data sources organisation create systems structures needed manage, collect, analyse, safeguard data. National average salary: 133,840 year.Conclusion:Data science causing industry change. This article reviewed responsibilities qualifications highestpaying data science positions.FAQs:What highest paid job Data Science India?The maximum annual compensation data scientist 25.4 lakhs rupees 2.1 lakhs month. Source: AmbitionboxHow Google pay data scientists?The salary range data scientists Google India 8.5 85.0 lakhs. Source: AmbitionboxWhy data science salary high?One factor contributing data scientists high pay high demand.Which stream best data scientists?A solid foundation science mathematics typically necessary data scientist.Does Google hire data scientists?You need ideal mindset, coding abilities, work experience, education data scientist Google.Start ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories PreviousPreparing JEE Advanced: Insights Top ScorerseducationPreparing JEE Advanced: Insights Top ScorerseducationTS EAMCET 2023 Counseling Schedule: Essential Steps AdmissioneducationTop 10 Career Options B.Com Pass StudentseducationUPSC Prelims 2023: Insights, Changes, Subjectwise AnalysiseducationWant Pilot? Heres Pilot India 12theducationWhy Saare Jahan Se Achcha Poet Being Dropped DU Syllabus?educationUPSC Prelims 2023 toughest exam ever? Aspirants reactions hereeducationTop 10 Career Options B.A. Pass StudentseducationTop 10 Tips To Manage Stress Before UPSC Exam 2023education Next123ElectionsMadhya Pradesh ElectionsRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSTS Constable resultsIPL 2023 Impact PlayersManipur Violence NewsDelhi Girl MurderWrestlers Protest NewsSakshi Murder CaseTrending StoriesIn EducationEntire WebsiteJEE Advanced Admit Card 2023 released jeeadv.ac.in, download hereTS Polycet Result 2023 releasing today 11 AM polycet.sbtet..inPSEB 10th Result 2023: Punjab Board Class 10 results 11:30 AM pseb.ac.inUPSC Civil Services Final Result 2022 announced @ .in; Ishita Kishore topsJAC 10th 12th Result 2023 Live: Jharkhand board Matric Inter Results shortly jacresults.comBerger Paints achieves Rs. 10,000 cr sales FY23Ordinary phenyl kills 50 germs: StudyPreparing future hospitality leaders IIHMBSE Odisha 10th Result 2023 Live: Odisha Matric HSC Results today 10 AM @ orissaresults.nic.inRBSE 8th Result 2023 Live: Rajasthan board Class 8 results soon rajshaladarpan.nic.inAmit Shah holds 9 peace meetings violence ebbs ManipurCong fails spell contours peace proposal Gehlot, PilotWill Akali Dal 100 years rediscover lost glory?Chilling Details: Sahils escape plan murdering minor girlCrop cover Maharashtra farmers Re 1, state foot 2 premiumAmid strife China, Pakistan ties, India host virtual SCO meetWhy father horrified state Everest todayNo religious issue Shahbad dairy murder caseApples biggest suppliers India iPhone, AirPodsGehlot govt offers 100 power units free allAbout usCreate Your Own AdTerms Use Grievance Redressal Policy Privacy policyAdvertise usRSSNewsletterFeedbackePaperSitemapArchivesFOLLOW US ONOther Times Group News SitesThe Economic TimesHindi Economic TimesNavbharat TimesMaharashtra TimesVijaya KarnatakaTelugu SamayamTamil SamayamMalayalam SamayamEi SamayI GujaratTimes NowTimes Now NavbharatTimesPointsIndiatimesBrand CapitalEducation TimesTimes FoodMiss KyraPopular CategoriesHeadlinesSports NewsBusiness NewsIndia NewsWorld NewsBollywood NewsHealth Fitness TipsIndian TV ShowsCelebrity PhotosHot WebHealty FoodRelationships TipsWater BenefitsShah Rukh KhanMS Dhoni DaughterMilk BenefitsInternational DestinationsIndian CelebsSudha MurtyViral NewsTop TrendsTS Constable resultsIPL 2023 Impact PlayersManipur Violence NewsDelhi Girl MurderWrestlers Protest NewsSakshi Murder CaseNirmala SitharamanShiv Sena NewsJammu Bus AccidentRahul GandhiAshok Gehlot vs Sachin PilotIPL 2023 FinalViolence ManipurCSK vs GT HighlightsRahul GandhiAustralia Squad WTC FinalJAC 12th Result 2023World Test Championship FinalTrending TopicsPapaya BenefitsHigh Protein MealsRavindra Jadeja WifeSubstitutes For BakingAkshay KumarHealty BreakfastKomal ThackerAmruta KhanvilkarPriyal GorParenting TipsJasmin BhasinArjun KapoorMalaika AroraAamir KhanHealty FoodSpectacular NaturalVivo Y55sLaptops 30000WiFi RoutersTablets 15000Living entertainmentViral NewsViral VideosFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombia 2023 Bennett, Coleman Co. 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https://upnewsinfo.com/2021/05/31/how-artificial-intelligence-can-enhance-blockchain-platforms-by-cointelegraph/
2021-05-31T00:00:00
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How artificial intelligence can enhance blockchain platforms By Cointelegraph - Up News Info
How artificial intelligence can enhance blockchain platforms By Cointelegraph - Up News Info Sign inEntertainmentTechnologySportsHealthcareFinancial Sign in Welcome!Log into your accountyour usernameyour password Forgot your password?Privacy Policy Password recoveryRecover your passwordyour email Search Sign inWelcome! Log into your accountyour usernameyour password Forgot your password? Get helpPrivacy PolicyPassword recoveryRecover your passwordyour email A password will be e-mailed to you. Up News Info EntertainmentTechnologySportsHealthcareFinancialHome Business How artificial intelligence can enhance blockchain platforms By CointelegraphBusinessHow artificial intelligence can enhance blockchain platforms By CointelegraphBy Matilda Colman - May 31, 202101ShareFacebook Twitter Pinterest WhatsApp How artificial intelligence can enhance blockchain platforms Artificial intelligence and blockchain are both touted as technologies that will lead our future. But here’s the problem: They’re like oil and water. While innovative in their own right, there’s a noticeable lack of interconnectedness — projects that tightly combine AI and blockchain, unleashing the full potential of both emerging technologies. Technical hurdles have been largely to blame for this. Integrating AI into the smart contracts that exist today is practically impossible. The two often rely on entirely different programming paradigms — and while smart contracts use data sparingly to reduce transaction fees, many AI models process vast amounts of data as well as a large amount of computing resources to make decisions. Learn more about OraichainContinue Reading on Coin TelegraphDisclaimer: Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. All CFDs (stocks, indexes, futures) and Forex prices are not provided by exchanges but rather by market makers, and so prices may not be accurate and may differ from the actual market price, meaning prices are indicative and not appropriate for trading purposes. Therefore Fusion Media doesn`t bear any responsibility for any trading losses you might incur as a result of using this data.Fusion Media or anyone involved with Fusion Media will not accept any liability for loss or damage as a result of reliance on the information including data, quotes, charts and buy/sell signals contained within this website. Please be fully informed regarding the risks and costs associated with trading the financial markets, it is one of the riskiest investment forms possible. ShareFacebook Twitter Pinterest WhatsApp Matilda Colman RELATED ARTICLESMORE FROM AUTHOR BusinessExclusive-G7 to back minimum global corporate tax, vow to keep support for economy Business‘Tombstone on the grave of telecom competition’: CRTC’s latest ruling spells ‘dark period’ for smaller operators BusinessALLEGIANT to Host Webinar on Thursday, June 3 at 11 a.m.ET (8 a.m. PT) to Discuss Recent Drill Results and Strategy at EastsideHomeAbout UsContact usDisclaimerPrivacy Policy ©
How artificial intelligence can enhance blockchain platforms By Cointelegraph
How artificial intelligence enhance blockchain platforms By Cointelegraph Up News Info Sign inEntertainmentTechnologySportsHealthcareFinancial Sign WelcomeLog accountyour usernameyour password Forgot password? Password recoveryRecover passwordyour email Sign inWelcome Log accountyour usernameyour password Forgot password? Get helpPassword recoveryRecover passwordyour email A password emailed you. Up News Info EntertainmentTechnologySportsHealthcareFinancialHome Business How artificial intelligence enhance blockchain platforms By CointelegraphBusinessHow artificial intelligence enhance blockchain platforms By CointelegraphBy Matilda Colman May 31, 202101ShareFacebook Twitter Pinterest WhatsApp How artificial intelligence enhance blockchain platforms Artificial intelligence blockchain touted technologies lead future. But heres problem: Theyre like oil water. While innovative right, theres noticeable lack interconnectedness projects tightly combine AI blockchain, unleashing potential emerging technologies. Technical hurdles largely blame this. Integrating AI smart contracts exist today practically impossible. The rely entirely different programming paradigms smart contracts use data sparingly reduce transaction fees, AI models process vast amounts data large computing resources decisions. Learn OraichainContinue Reading Coin TelegraphDisclaimer: Fusion Media like remind data contained website necessarily realtime accurate. All CFDs stocks, indexes, futures Forex prices provided exchanges market makers, prices accurate differ actual market price, meaning prices indicative appropriate trading purposes. Therefore Fusion Media doesnt bear responsibility trading losses incur result data.Fusion Media involved Fusion Media accept liability loss damage result reliance information including data, quotes, charts buysell signals contained website. Please fully informed risks costs associated trading financial markets, riskiest investment forms possible. ShareFacebook Twitter Pinterest WhatsApp Matilda Colman RELATED ARTICLESMORE FROM AUTHOR BusinessExclusiveG7 minimum global corporate tax, vow support economy BusinessTombstone grave telecom competition: CRTCs latest ruling spells dark period smaller operators BusinessALLEGIANT Host Webinar Thursday, June 3 11 a.m.ET 8 a.m. PT Discuss Recent Drill Results Strategy EastsideHome usDisclaimer
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https://venturebeat.com/2020/02/11/microsofts-ai-automatically-comments-on-video-clips/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
2020-02-11T00:00:00
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Microsoft's AI automatically comments on video clips | VentureBeat
Microsoft's AI automatically comments on video clips | VentureBeat VentureBeat Homepage Channels GamesBeat AI AR/VR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got a news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Sponsor Media Partner Got a news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue Search Icon Helpful Links Got a news tip? Press Releases VB Lab Contact Webinars About Us Privacy Advertise Careers Guest Posts Follow VentureBeat on Facebook Follow VentureBeat on Twitter Follow VentureBeat on Instagram Follow VentureBeat on LinkedIn Follow VentureBeat on Flipboard Follow VentureBeat on RSS Follow VentureBeat on Facebook Follow VentureBeat on Twitter Follow VentureBeat on Instagram Follow VentureBeat on LinkedIn Follow VentureBeat on Flipboard Follow VentureBeat on RSS Don’t miss the AI event of the year Learn More AI Microsoft’s AI automatically comments on video clips Kyle Wiggers@Kyle_L_Wiggers February 11, 2020 8:41 AM Image Credit: Microsoft Generating live video captions with AI could bolster engagement on social media, or serve as a benchmark for the task of translating video to text. Preliminary work to this end has employed encoder-decoder models to generate comments, but they haven’t modeled the interaction between videos and comments explicitly, so they’ve tended to generate irrelevant comments. That’s why a team if I Microsoft Research Asia and Harbin Institute of Technology researchers propose a new technique in a preprint paper published on Arxiv.org. Their model iteratively learns to capture the representations among comments, video, and audio, and they say that in experiments, it outperforms state-of-the-art methods. The system — the code for which is available on Github — matches the most relevant comments with videos from a candidate set so that it jointly learns cross-modal representations. It’s based on Google’s Transformers architecture, which like all neural networks contains functions (neurons) arranged in layers that transmit signals from data and slowly adjust the connections’ strength (weights). Uniquely, Transformers have attention, which means that every output element is connected to every input element, and the weightings between them are calculated dynamically. Above: An example of the produced comments of different models on a video. Above are three selected frames in the videos. Below are the existing comments in the video and the produced comments of different models. (The researchers’ model is the Matching Transformer.)Image Credit: Microsoft Concretely, the automatic live commenting system consists of three components: an encoder layer that converts different modalities of a video and a candidate comment into vectors (i.e., mathematical representations); a matching layer that learns the representation for each modality; and a prediction layer that outputs a score measuring the matching degree between a video clip and a comment. Given a video and a time-stamp, the model aims to select a comment from a candidate set that is most relevant to the video clip near the time-stamp based on the surrounding comments, the visual part, and the audio part. Comments are extracted near the time-stamp, and for the vision bit, the system samples video frames near the time-stamp. The researchers evaluated the system on a video-comment data set containing 2,361 videos and 895,929 comments, collected from the Chinese video streaming platform Bilibili. And they constructed a candidate comments set in which each video clip contained 100 comments comprising the ground-truth comments, top 20 popular comments, and random selected comments. According to the team, the model outperformed several baselines in terms of several measures, including relevance and correctness. In a clip featuring a soup dumpling, for example, it made comments about the dumplings exactly at key points in the video clip. “[W]e believe the multimodal pre-training will be a promising direction to explore, where tasks like image captioning and video captioning will benefit from pre-trained models,” wrote the researchers. “For future research, we will further investigate the multimodal interactions among vision, audio, and text in … real-world applications.” Most Read Microsoft trains world's largest Transformer language model DeepMind trains robots to insert USB keys and stack colored blocks IronSource launches ad-based game studio Supersonic Games Arm unveils 2 new AI edge computing chips Amazon pulls out of MWC over coronavirus concerns UPCOMING EVENTS GamesBeat Summit Apr. 28-29 The industry’s most intimate gaming event for senior industry executives, developers and investors. VB Transform Jul. 15-16 The AI event of the year for enterprise executives, brought to you by today’s leading AI publisher.
Microsoft's AI automatically comments on video clips
Microsofts AI automatically comments video clips VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Sponsor Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Dont miss AI event year Learn More AI Microsofts AI automatically comments video clips Kyle Wiggers February 11, 2020 8:41 AM Image Credit: Microsoft Generating live video captions AI bolster engagement social media, serve benchmark task translating video text. Preliminary work end employed encoderdecoder models generate comments, havent modeled interaction videos comments explicitly, theyve tended generate irrelevant comments. Thats team I Microsoft Research Asia Harbin Institute Technology researchers propose new technique preprint paper published . Their model iteratively learns capture representations comments, video, audio, experiments, outperforms stateoftheart methods. The code available Github matches relevant comments videos candidate set jointly learns crossmodal representations. Its based Googles Transformers architecture, like neural networks contains functions neurons arranged layers transmit signals data slowly adjust connections strength weights. Uniquely, Transformers attention, means output element connected input element, weightings calculated dynamically. Above: An example produced comments different models video. Above selected frames videos. Below existing comments video produced comments different models. The researchers model Matching Transformer.Image Credit: Microsoft Concretely, automatic live commenting consists components: encoder layer converts different modalities video candidate comment vectors i.e., mathematical representations; matching layer learns representation modality; prediction layer outputs score measuring matching degree video clip comment. Given video timestamp, model aims select comment candidate set relevant video clip near timestamp based surrounding comments, visual part, audio part. Comments extracted near timestamp, vision bit, samples video frames near timestamp. The researchers evaluated videocomment data set containing 2,361 videos 895,929 comments, collected Chinese video streaming platform Bilibili. And constructed candidate comments set video clip contained 100 comments comprising groundtruth comments, 20 popular comments, random selected comments. According team, model outperformed baselines terms measures, including relevance correctness. In clip featuring soup dumpling, example, comments dumplings exactly key points video clip. [W]e believe multimodal pretraining promising direction explore, tasks like image captioning video captioning benefit pretrained models, wrote researchers. For future research, investigate multimodal interactions vision, audio, text realworld applications. Most Read Microsoft trains worlds largest Transformer language model DeepMind trains robots insert USB keys stack colored blocks IronSource launches adbased game studio Supersonic Games Arm unveils 2 new AI edge computing chips Amazon pulls MWC coronavirus concerns UPCOMING EVENTS GamesBeat Summit Apr. 2829 The industrys intimate gaming event senior industry executives, developers investors. VB Transform Jul. 1516 The AI event year enterprise executives, brought todays leading AI publisher.
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"learns", "capture", "representations", "comments", "video", "audio", "experiments", "outperforms", "stateoftheart", "methods", "code", "available", "github", "matches", "relevant", "comments", "videos", "candidate", "set", "jointly", "learns", "crossmodal", "representations", "based", "googles", "transformers", "architecture", "like", "neural", "networks", "contains", "functions", "neurons", "arranged", "layers", "transmit", "signals", "data", "slowly", "adjust", "connections", "strength", "weights", "uniquely", "transformers", "attention", "means", "output", "element", "connected", "input", "element", "weightings", "calculated", "dynamically", "example", "produced", "comments", "different", "models", "video", "selected", "frames", "videos", "existing", "comments", "video", "produced", "comments", "different", "models", "researchers", "model", "matching", "transformer", "image", "credit", "microsoft", "concretely", "automatic", "live", "commenting", "consists", "components", 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https://venturebeat.com/2020/05/20/search-engines-google-bing-are-leveraging-ai-to-improve-their-language-understanding/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
2020-05-20T00:00:00
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Search engines are leveraging AI to improve their language understanding | VentureBeat
Search engines are leveraging AI to improve their language understanding | VentureBeat VentureBeat Homepage Channels GamesBeat AI AR/VR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got a news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Media Partner Got a news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI and Surveillance Deals Search Icon Helpful Links Got a news tip? Press Releases VB Lab Contact Webinars About Us Privacy Advertise Careers Guest Posts Follow VentureBeat on Facebook Follow VentureBeat on Twitter Follow VentureBeat on Instagram Follow VentureBeat on LinkedIn Follow VentureBeat on Flipboard Follow VentureBeat on RSS Follow VentureBeat on Facebook Follow VentureBeat on Twitter Follow VentureBeat on Instagram Follow VentureBeat on LinkedIn Follow VentureBeat on Flipboard Follow VentureBeat on RSS Log Out AI Search engines are leveraging AI to improve their language understanding Kyle Wiggers@Kyle_L_Wiggers May 20, 2020 8:40 AM Bing.Image Credit: Bing During its Build 2020 conference this week, Microsoft took the wraps off of AI at Scale, an initiative aimed at applying large-scale AI and supercomputing to language processing across the company’s apps, services, and managed products. Already, Microsoft says, massive algorithms have driven improvements in SharePoint, OneDrive, Outlook, Xbox Live, and Excel. They’ve also benefited Bing by bolstering the search engine’s ability to directly answer questions and to generate image captions. Bing and its competitors have a lot to gain from AI and machine learning, particularly in the natural language domain. Search tasks necessarily begin with teasing out a search’s intent. Search engines need to comprehend queries no matter how confusingly or wrongly they’re worded. They’ve historically struggled with this, leaning on Boolean operators — simple words like “and,” “or,” and “not” — as conjunctive band-aids to combine or exclude search terms. But with the advent of AI like Google’s BERT and Microsoft’s Turing family, search engines have the potential to become more conversationally and contextually aware than perhaps ever before. Large-scale language models Bing now uses fine-tuned language models distilled from a large-scale multimodal natural language representation (NLR) algorithm to power a number of features, including intelligent yes/no summaries. Given a search query, a model assesses the relevance of document passages in relation to the query and reasons over and summarizes across multiple sources to arrive at an answer. (That’s only in the U.S. for now.) A search for “can dogs eat chocolate” would prompt the model — which can understand natural language thanks to the NLR — to infer the phrase “chocolate is toxic to dogs” means that dogs can’t eat chocolate, even when a source doesn’t explicitly say it. VB Transform 2020 Online - July 15-17. Join leading AI executives: Register for the free livestream.Beyond this, building on a recently deployed Turing NLR-based algorithm that enhanced the answers and image descriptions in English results, the Bing team used the algorithm’s question-answering component to improve “intelligent” answer quality in other languages. Fine-tuned only with English data, the component drew on the linguistic knowledge and nuances learned by the NLR algorithm, which was pretrained on 100 different languages. This enabled it to return identical answer snippets across languages in 13 markets for searches like “red turnip benefits.” The Bing team also applied AI to the fundamental problem of breaking down ambiguous concepts. A new NLR-originated algorithm tailored to rank potential web results for queries uses the same scale as human judges, allowing it to realize that the search “brewery Germany from year 1080” likely refers to the Weihenstephan Brewery, for example, which was founded 40 years earlier (1040) but in the same time period. Last year, Google similarly set out to solve the query ambiguity problem with an AI technique called Bidirectional Encoder Representations from Transformers, or BERT for short. BERT, which emerged from the tech giant’s research on Transformers, forces models to consider the context of a word by looking at the words that come before and after it. According to Google, BERT helped Google Search better understand 10% of queries in the U.S. in English — particularly longer, more conversational searches where prepositions like “for” and “to” matter a lot to the meaning. For instance, Google’s previous search algorithm wouldn’t understand that “2019 brazil traveler to usa need a visa” is about a Brazilian traveling to the U.S. and not the other way around. With BERT, which realizes the importance of the word “to” in context, Google Search provides more relevant results for the query. Like Microsoft, Google adapted AI models including BERT to other languages, specifically to improve short answers to queries, called “featured snippets,” that appear at the top of Google Search results. The company reports that this resulted in substantially better Korean, Hindi, and Portuguese snippets and general improvements in the more than two dozen countries where featured snippets are available. Hardware Large-scale models like those now powering Bing and Google Search learn to parse language from enormous data sets — that’s what makes them large in scale. For example, the largest of Microsoft’s Turing models — Turing Natural Language Generation, or T-NLG — ingested billions of pages of text from self-published books, instruction manuals, history lessons, human resources guidelines, and other sources to achieve top results in popular language benchmarks. Predictably, large models require scalable hardware to match. Microsoft says it’s running the NLR-derived Bing model for query intent comprehension on “state-of-the-art” Azure’s N-series Virtual Machines (VM) with GPU accelerators built in. Across four regions as of November 2019, over 2,000 of these machines were serving more than 1 million search inferences per second in four regions. Microsoft previously experimented with field-programmable gate arrays (FPGAs), or integrated circuits designed to be configured after manufacturing, for AI computation through a system called Project Brainwave. Brainwave, which curiously escaped mention at this year’s Build conference, enabled the Bing team to train a model with 10 times the complexity compared with a version built for processors. Despite the added complexity, Brainwave’s hundreds of thousands of FPGAs deployed throughout Microsoft datacenters could return results back from the model over 10 times faster, the company claimed. For its part, Google is using its third-generation tensor processing units (TPUs) — chips specially designed to accelerate AI — to serve search results globally. They’re liquid-cooled and designed to slot into server racks; deliver up to 100 petaflops in performance; and have been used internally to power other Google products like Google Photos, Google Cloud Vision API calls, and Google Search results. Assuming the large-scale natural language processing trend holds, models like those in Microsoft’s Turing family appear poised to become a core part of search engine backends. If they’re anything like the models deployed today, they’ll require substantial compute to train and run — but the cost might be worth it. Taking Microsoft and Google at their word, these models have led to leaps in understanding of the billions of queries people around the world submit every day.Microsoft Build 2020: read all our coverage here. VB Transform The AI event for business leaders Hosted Online July 15 - 17 Learn More Most Read Sony isn't just betting on the PlayStation 5 Nvidia researchers propose technique to transfer AI trained in simulation to the real world Facebook details the AI behind its shopping experiences Chrome 83 arrives with redesigned security settings, third-party cookies blocked in Incognito Microsoft acquires RPA startup Softomotive to bolster Power Automate UPCOMING EVENTS VB Transform July 15-17 The AI event of the year for enterprise executives, brought to you by today’s leading AI publisher. 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Search engines are leveraging AI to improve their language understanding
engines leveraging AI improve language understanding VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Surveillance Deals Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Log Out AI engines leveraging AI improve language understanding Kyle Wiggers May 20, 2020 8:40 AM Bing.Image Credit: Bing During Build 2020 conference week, Microsoft took wraps AI Scale, initiative aimed applying largescale AI supercomputing language processing companys apps, services, managed products. Already, Microsoft says, massive algorithms driven improvements SharePoint, OneDrive, Outlook, Xbox Live, Excel. Theyve benefited Bing bolstering search engines ability directly answer questions generate image captions. Bing competitors lot gain AI machine learning, particularly natural language domain. tasks necessarily begin teasing searchs intent. engines need comprehend queries matter confusingly wrongly theyre worded. Theyve historically struggled this, leaning Boolean operators simple words like and, or, conjunctive bandaids combine exclude search terms. But advent AI like Googles BERT Microsofts Turing family, search engines potential conversationally contextually aware before. Largescale language models Bing uses finetuned language models distilled largescale multimodal natural language representation NLR algorithm power number features, including intelligent yesno summaries. Given search query, model assesses relevance document passages relation query reasons summarizes multiple sources arrive answer. Thats U.S. now. A search dogs eat chocolate prompt model understand natural language thanks NLR infer phrase chocolate toxic dogs means dogs eat chocolate, source doesnt explicitly it. VB Transform 2020 Online July 1517. Join leading AI executives: free livestream.Beyond this, building recently deployed Turing NLRbased algorithm enhanced answers image descriptions English results, Bing team algorithms questionanswering component improve intelligent answer quality languages. Finetuned English data, component drew linguistic knowledge nuances learned NLR algorithm, pretrained 100 different languages. This enabled return identical answer snippets languages 13 markets searches like red turnip benefits. The Bing team applied AI fundamental problem breaking ambiguous concepts. A new NLRoriginated algorithm tailored rank potential web results queries uses scale human judges, allowing realize search brewery Germany year 1080 likely refers Weihenstephan Brewery, example, founded 40 years earlier 1040 time period. Last year, Google similarly set solve query ambiguity problem AI technique called Bidirectional Encoder Representations Transformers, BERT short. BERT, emerged tech giants research Transformers, forces models consider context word looking words come it. According Google, BERT helped Google better understand 10 queries U.S. English particularly longer, conversational searches prepositions like matter lot meaning. For instance, Googles previous search algorithm wouldnt understand 2019 brazil traveler usa need visa Brazilian traveling U.S. way around. With BERT, realizes importance word context, Google provides relevant results query. Like Microsoft, Google adapted AI models including BERT languages, specifically improve short answers queries, called featured snippets, appear Google results. The company reports resulted substantially better Korean, Hindi, Portuguese snippets general improvements dozen countries featured snippets available. Hardware Largescale models like powering Bing Google learn parse language enormous data sets thats makes large scale. For example, largest Microsofts Turing models Turing Natural Language Generation, TNLG ingested billions text selfpublished books, instruction manuals, history lessons, human resources guidelines, sources achieve results popular language benchmarks. Predictably, large models require scalable hardware match. Microsoft says running NLRderived Bing model query intent comprehension stateoftheart Azures Nseries Virtual Machines VM GPU accelerators built in. Across regions November 2019, 2,000 machines serving 1 million search inferences second regions. Microsoft previously experimented fieldprogrammable gate arrays FPGAs, integrated circuits designed configured manufacturing, AI computation called Project Brainwave. Brainwave, curiously escaped mention years Build conference, enabled Bing team train model 10 times complexity compared version built processors. Despite added complexity, Brainwaves hundreds thousands FPGAs deployed Microsoft datacenters return results model 10 times faster, company claimed. For part, Google thirdgeneration tensor processing units TPUs chips specially designed accelerate AI serve search results globally. Theyre liquidcooled designed slot server racks; deliver 100 petaflops performance; internally power Google products like Google Photos, Google Cloud Vision API calls, Google results. Assuming largescale natural language processing trend holds, models like Microsofts Turing family appear poised core search engine backends. If theyre like models deployed today, theyll require substantial compute train run cost worth it. Taking Microsoft Google word, models led leaps understanding billions queries people world submit day.Microsoft Build 2020: read coverage here. VB Transform The AI event business leaders Hosted Online July 15 17 Learn More Most Read Sony isnt betting PlayStation 5 Nvidia researchers propose technique transfer AI trained simulation real world Facebook details AI shopping experiences Chrome 83 arrives redesigned security settings, thirdparty cookies blocked ognito Microsoft acquires RPA startup Softomotive bolster Power Automate UPCOMING EVENTS VB Transform July 1517 The AI event year enterprise executives, brought todays leading AI publisher. Get lifetime SSDpowered web hosting 40 These slide templates presentation pop 30 This app suite gives access 50 tools designed entrepreneurs 9 skills teach youre lockdown home Replace blur background video 19.99 Intelligently manage iPhone iPad files 15 app Push buttons open doors safely 20 antimicrobial tool Store 5TB data cloud life 80 Beat boredom master music production Ableton 30 Save 80 Lingvanexs suite language translation apps View deals store
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https://venturebeat.com/2020/07/15/dont-try-to-predict-the-future-when-you-scale-your-ai-projects/
2020-07-15T00:00:00
en
Don't try to predict the future when you scale your AI projects | VentureBeat
Don't try to predict the future when you scale your AI projects | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Become a Member Sign In Log Out VentureBeat Homepage Making sense of AI VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out Don’t try to predict the future when you scale your AI projects Seth Colaner@SethColaner July 15, 2020 10:30 AM AI Share on Facebook Share on Twitter Share on LinkedIn VB Transform The AI event for business leaders Hosted Online July 14 - 17 Register Today Last Chance: Register for Transform, VB's AI event of the year, hosted online July 15-17. Years ago, most companies that looked to AI to create products, services, or processes would have found a steep learning curve — a raft of new terms and new ways of thinking. But by now, in 2020, many have likely leaped beyond those early struggles and have completed proofs of concept, conducted initial pilots, and may have some projects in production. The next step is getting to scale, said Dataiku chief customer officer Kurt Muehmel during a session at Transform 2020. Dataiku is a software company that helps other companies — usually enterprises — develop the internal ability to build their own AI products and services, hook those into their own business processes, and scale them. These days, it’s not uncommon for a Dataiku customer to be stuck at the scaling phase after building something with AI. “Maybe they’ve succeeded once, twice, maybe 10 times,” Muehmel said. “What we’re talking about at scale, though, is not 10 use cases deployed into production, but maybe 10,000.” There are better and worse ways to scale AI, of course. What’s the biggest mistake enterprises make when they’re looking to scale their AI projects? “Sometimes what we see is that they try to predict the future,” he said. “They try to lock into the one future technology that [they think] is going to get them there.” Muehmel pointed to the relative rising and falling in popularity we’ve seen with Hadoop, Spark, and Kubernetes over the last six or so years — which is to say, these things have and will continue to be unpredictable. “In a sense, that’s good,” he said. “Because it means that there’s innovation that’s going to continue, and new and better technology that’s going to come out.” The key is for organizations to essentially plan for the unpredictable, roll with the reality that there will be changes, and set themselves up to be able to swap those technologies in and out. That’s what Dataiku is designed to help companies do, Muehmel said — it provides an “insulating layer” between the people who are working on a project and the underlying compute layer. Just as latching onto a given technology is usually a mistake, creating a broad and inclusive organization is the best way to scale, in Dataiku’s view. “The right way to do this at scale is all about bringing more people in. Bringing in not only the data scientists and machine learning engineers, but also the business analysts, the marketers, [and] the shop floor technicians — as consumers of those results, but importantly, as creators, and true participants in the AI development process, as well as its deployment, maintenance, [and] update process,” Muehmel said. To get to that point — where a plurality of a company’s team members are using its AI tools in whatever way makes the most sense for them, be it via code or a visual interface — companies need to start by unsiloing their data. Ideally, that gives more people the same data to meet business challenges. Muehmel pointed to the example of a global pharmaceutical company that began its AI journey back in 2012. Dataiku worked with that company early on, mapping out which teams needed what data, unsiloing the data, and broadly scaling. “They’re talking about 3,000 different projects that they have running in parallel, hundreds of thousands of data sets that they’re working on, and hundreds and hundreds — nearing a thousand — individuals directly contributing to that process,” he said. What comes after scale? Muehmel said it’s about embedding. “Ultimately, the goal is to get everything embedded — to embed the analytics, to embed the AI processes directly into the applications, to the dashboards, throughout the organization.” When that happens, he said, all those people using the data are “shielded” from all the operational parts and pieces, like cloud environments — they can access and work with the data they need without having to worry about where it’s running. Score lifetime access to this stock image library for only $29 Boost your productivity with these 9 hot deals for entrepreneurs You can score a lifetime of cloud backup for under $50 right now This Microsoft Excel training bundle is just $34 right now Store 5TB of data in the cloud for life for just $80 This fitness app can count your reps and even critique your form These wireless earbuds sound great and mold to your ears for a perfect fit Learn how to build WordPress sites with this $30 bundle Get faster, more reliable web hosting with StartHost View all deals store Apple News adds free Today podcast, 20 weekly audio stories for News+ Jeremy Horwitz July 15, 2020 10:35 AM VB Event Announcing nominees for the second annual Women in AI Awards VB Staff July 15, 2020 7:09 AM Zoom for Home launches with dedicated devices for remote workers Paul Sawers July 15, 2020 6:01 AM VentureBeat Homepage Follow us on Facebook Follow us on Twitter Follow us on Instagram Follow us on LinkedIn Follow us on Flipboard Follow us on RSS About Contact Careers Advertise © 2020 VentureBeat. 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Don't try to predict the future when you scale your AI projects
Dont try predict future scale AI projects VentureBeat VentureBeat Home The Machine GamesBeat Jobs Become Member Log Out VentureBeat Home Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out Dont try predict future scale AI projects Seth Colaner July 15, 2020 10:30 AM AI Share Facebook Share Twitter Share LinkedIn VB Transform The AI event business leaders Hosted Online July 14 17 Today Last Chance: Transform, VBs AI event year, hosted online July 1517. Years ago, companies looked AI create products, services, processes steep learning curve raft new terms new ways thinking. But now, 2020, likely leaped early struggles completed proofs concept, conducted initial pilots, projects production. The step getting scale, said Dataiku chief customer officer Kurt Muehmel session Transform 2020. Dataiku software company helps companies usually enterprises develop internal ability build AI products services, hook business processes, scale them. These days, uncommon Dataiku customer stuck scaling phase building AI. Maybe theyve succeeded once, twice, maybe 10 times, Muehmel said. What talking scale, though, 10 use cases deployed production, maybe 10,000. There better worse ways scale AI, course. Whats biggest mistake enterprises theyre looking scale AI projects? Sometimes try predict future, said. They try lock future technology [they think] going there. Muehmel pointed relative rising falling popularity weve seen Hadoop, Spark, Kubernetes years say, things continue unpredictable. In sense, thats good, said. Because means theres innovation thats going continue, new better technology thats going come out. The key organizations essentially plan unpredictable, roll reality changes, set able swap technologies out. Thats Dataiku designed help companies do, Muehmel said provides insulating layer people working project underlying compute layer. Just latching given technology usually mistake, creating broad inclusive organization best way scale, Dataikus view. The right way scale bringing people in. Bringing data scientists machine learning engineers, business analysts, marketers, [and] shop floor technicians consumers results, importantly, creators, true participants AI development process, deployment, maintenance, [and] update process, Muehmel said. To point plurality companys team members AI tools way makes sense them, code visual interface companies need start unsiloing data. Ideally, gives people data meet business challenges. Muehmel pointed example global pharmaceutical company began AI journey 2012. Dataiku worked company early on, mapping teams needed data, unsiloing data, broadly scaling. Theyre talking 3,000 different projects running parallel, hundreds thousands data sets theyre working on, hundreds hundreds nearing thousand individuals directly contributing process, said. What comes scale? Muehmel said embedding. Ultimately, goal embedded embed analytics, embed AI processes directly applications, dashboards, organization. When happens, said, people data shielded operational parts pieces, like cloud environments access work data need worry running. Score lifetime access stock image library 29 Boost productivity 9 hot deals entrepreneurs You score lifetime cloud backup 50 right This Microsoft Excel training bundle 34 right Store 5TB data cloud life 80 This fitness app count reps critique form These wireless earbuds sound great mold ears perfect fit Learn build WordPress sites 30 bundle Get faster, reliable web hosting StartHost View deals store Apple News adds free Today podcast, 20 weekly audio stories News Jeremy Horwitz July 15, 2020 10:35 AM VB Event Announcing nominees second annual Women AI Awards VB Staff July 15, 2020 7:09 AM Zoom Home launches dedicated devices remote workers Paul Sawers July 15, 2020 6:01 AM VentureBeat Home Follow Facebook Follow Twitter Follow Instagram Follow LinkedIn Follow Flipboard Follow RSS About Careers Advertise 2020 VentureBeat. .
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https://venturebeat.com/2020/09/24/fintech-machine-learning-leader-attunely-secures-9m-in-funding/
2020-09-24T00:00:00
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Fintech Machine Learning Leader Attunely Secures $9M in Funding | VentureBeat
Fintech Machine Learning Leader Attunely Secures $9M in Funding | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Special Issue Become a Member Sign In Log Out VentureBeat Homepage VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out VentureBeat Homepage Social Links Newsletters Events Profile Press Release Fintech Machine Learning Leader Attunely Secures $9M in Funding Business Wire September 24, 2020 8:25 AM Business Share on Facebook Share on Twitter Share on LinkedIn Automation and Jobs Read our latest special issue. Open Now New capital will support expansion of team; Attunely technology helps financial and creditl institutions better manage revenue recovery and the consumer experience SEATTLE–(BUSINESS WIRE)–September 24, 2020– Attunely Inc., a pioneer in deploying machine learning to maximize revenue recovery and enhance the consumer experience, today announced $9 million in financing. The new capital includes an earlier seed round as well as a Series A investment. Investors include: Framework Venture Partners, Anthos Capital, Vulcan Capital, and additional independent investors as well. Andrew Lugsdin, Partner at Framework Venture Partners, will join the Attunely Board of Directors. The funds will be used to expand the team with an emphasis on data science, data and security software engineers, client success resources, product/program management, and marketing. “Attunely is uniquely positioned to help reinvent the consumer’s collection and lending experience, in view of the economic damage resulting from the COVID-19 pandemic. Its dynamic machine learning models provide an opportunity for improved engagements across the industry. Now, more than ever, businesses need tools to empower responsible engagement with consumers and improve business practices. I am excited to join the Attunely team and support their growth,” said Andrew Lugsdin, Partner, Framework Venture Partners. “In the current economic climate, we believe machine learning is well suited to enable creditors, lenders and revenue cycle management agencies to employ more tailored engagements during and beyond the pandemic-driven unemployment environment. Undoubtedly, COVID-19, has created a ‘new normal’. Attunely’s machine learning models are designed to provide greater flexibility and efficiency during a transformative moment for the economy at large,” said Scott Ferris, Founder and CEO, Attunely. Attunely Models Enhance Revenue Recovery Powered by de-identified consumer interaction behavior, Attunely’s machine learning platform prescribes the most effective outreach tactics through every phase of the servicing and delinquency life cycle. Attunely’s models are customized to enhance revenue recovery, reduce expenses, prevent customer churn, and identify the best time of day to reach a consumer. Adds Attunely CEO Scott Ferris: “We understand our clients are operating in a difficult environment and our dynamic machine learning models can ease the friction between a financial institution and consumer.” Attunely’s dynamic scoring models include: Propensity to Pay ModelThe Attunely propensity model estimates the likelihood of payment from each account, producing an overall probability score that changes dynamically in response to ongoing interactions between an organization and its consumers. Liquidation ModelThe Attunely liquidation model combines behavioral signals with a client’s historical transaction data to produce an expected value when recovering revenue. It is informed by billions of historical calls, letters, emails, and text messages, and dynamically refines an account-level score based on each interaction with the consumer. Time of Day ModelLeveraging billions of de-identified historical call records, and combined with Attunely’s existing liquidation scoring model, it produces a dialer-ready call file that matches the highest-yielding accounts with their preferred time slots. This allows for more contacts using fewer call attempts, building on Attunely’s comprehensive suite of machine learning models. Omnichannel ModelThe Attunely Omnichannel score ranks each communication channel and identifies the most productive form of outreach on every account. Combined with the liquidation score, this strikes the optimal balance between immediate recovery, maximizing long-term value (LTV) recovery, and giving the consumer time to repay. Settlement Optimization ModelAttunely’s Settlement models leverage de-identified historical collection data to estimate the likelihood, timing, and expected recovery value of contingent or debt portfolios. This enables recovery experts to calculate the best offer, whether that is a settlement, payment plan, or paid-in-full demand for every account. About Attunely Inc. Attunely is a proven, compliant, and trustworthy machine learning platform that makes the recovery of receivables easy, seamless, and profitable thus improving outcomes for creditors, lowering risk in the credit ecosystem, and facilitating a better consumer experience. For more information, visit http://www.attunely.com. View source version on businesswire.com: https://www.businesswire.com/news/home/20200924005133/en/ Scott FerrisFounder & [email protected] VentureBeat Homepage Follow us on Facebook Follow us on Twitter Follow us on LinkedIn Follow us on RSS VB Lab Newsletters Events Deals Jobs About Contact Careers Privacy Policy Terms of Service © 2020 VentureBeat. All rights reserved.
Fintech Machine Learning Leader Attunely Secures $9M in Funding
Fintech Machine Learning Leader Attunely Secures 9M Funding VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Press Release Fintech Machine Learning Leader Attunely Secures 9M Funding Business Wire September 24, 2020 8:25 AM Business Share Facebook Share Twitter Share LinkedIn Automation Jobs Read latest special issue. Open Now New capital support expansion team; Attunely technology helps financial creditl institutions better manage revenue recovery consumer experience SEATTLEBUSINESS WIRESeptember 24, 2020 Attunely ., pioneer deploying machine learning maximize revenue recovery enhance consumer experience, today announced 9 million financing. The new capital includes earlier seed round Series A investment. Investors include: Framework Venture Partners, Anthos Capital, Vulcan Capital, additional independent investors well. Andrew Lugsdin, Partner Framework Venture Partners, join Attunely Board Directors. The funds expand team emphasis data science, data security software engineers, client success resources, productprogram management, marketing. Attunely uniquely positioned help reinvent consumers collection lending experience, view economic damage resulting COVID19 pandemic. Its dynamic machine learning models provide opportunity improved engagements industry. Now, ever, businesses need tools empower responsible engagement consumers improve business practices. I excited join Attunely team support growth, said Andrew Lugsdin, Partner, Framework Venture Partners. In current economic climate, believe machine learning suited enable creditors, lenders revenue cycle management agencies employ tailored engagements pandemicdriven unemployment environment. Undoubtedly, COVID19, created new normal. Attunelys machine learning models designed provide greater flexibility efficiency transformative moment economy large, said Scott Ferris, Founder CEO, Attunely. Attunely Models Enhance Revenue Recovery Powered deidentified consumer interaction behavior, Attunelys machine learning platform prescribes effective outreach tactics phase servicing delinquency life cycle. Attunelys models customized enhance revenue recovery, reduce expenses, prevent customer churn, identify best time day reach consumer. Adds Attunely CEO Scott Ferris: We understand clients operating difficult environment dynamic machine learning models ease friction financial institution consumer. Attunelys dynamic scoring models include: Propensity Pay ModelThe Attunely propensity model estimates likelihood payment account, producing overall probability score changes dynamically response ongoing interactions organization consumers. Liquidation ModelThe Attunely liquidation model combines behavioral signals clients historical transaction data produce expected value recovering revenue. It informed billions historical calls, letters, emails, text messages, dynamically refines accountlevel score based interaction consumer. Time Day ModelLeveraging billions deidentified historical records, combined Attunelys existing liquidation scoring model, produces dialerready file matches highestyielding accounts preferred time slots. This allows contacts fewer attempts, building Attunelys comprehensive suite machine learning models. Omnichannel ModelThe Attunely Omnichannel score ranks communication channel identifies productive form outreach account. Combined liquidation score, strikes optimal balance immediate recovery, maximizing longterm value LTV recovery, giving consumer time repay. Settlement Optimization ModelAttunelys Settlement models leverage deidentified historical collection data estimate likelihood, timing, expected recovery value contingent debt portfolios. This enables recovery experts calculate best offer, settlement, payment plan, paidinfull demand account. About Attunely . Attunely proven, compliant, trustworthy machine learning platform makes recovery receivables easy, seamless, profitable improving outcomes creditors, lowering risk credit ecosystem, facilitating better consumer experience. For information, visit View source version : Scott FerrisFounder CEO206.849.9519scott VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. .
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https://venturebeat.com/2022/03/03/why-zero-trust-security-tops-vpn-for-remote-work-using-ai/
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Why zero-trust security tops VPN for remote work — using AI | VentureBeat
Why zero-trust security tops VPN for remote work — using AI | VentureBeat Skip to main content VentureBeat Homepage Events GamesBeat Jobs The Data Summit Account Settings Log Out Become a Member Sign In VentureBeat Homepage VentureBeat AR/VR Big Data Cloud Commerce DataDecisionMakers Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow us on Twitter follow us on Facebook follow us on LinkedIn Follow us on RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow us on RSS GamesBeat Games Esports PC Gaming Follow follow us on Twitter Follow us on RSS Events Upcoming Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Guest Posts Contribute to DataDecisionMakers Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Free: Join the VentureBeat Community for access to 3 premium posts and unlimited videos per month. Learn More Sign up with your business e-mail to continue with ticket purchase Please wait... Share Share on Facebook Share on Twitter Share on LinkedIn VentureBeat Homepage Social Links Newsletters Events Profile Why zero-trust security tops VPN for remote work — using AI Kyle Alspach@KyleAlspach March 3, 2022 1:02 PM Share on Facebook Share on Twitter Share on LinkedIn Join today's leading executives online at the Data Summit on March 9th. Register here. When Oklahoma shifted into remote work at the start of the pandemic in 2020, the security issues involved with having employees working from home manifested almost immediately. Like many other organizations in that situation, the state government turned to a VPN — or virtual private network — in an attempt to provide secure remote access to work applications and data. As a technology that first emerged in the early years of the internet, the VPN was built for a very different time. And it showed, as the state’s 30,000 employees tried to use the system from their homes.  “Many of our state agencies initially experienced outages as networks were overwhelmed with external logins and service requests,” said Matt Singleton, CISO for the state of Oklahoma, in an email. “Our legacy VPN solutions simply could not meet the increased volume and scalability demands. This resulted in a surge in calls to service desks and hundreds of VPN tickets a day, as well as increased cyber risk.” As a result, the state government went looking for a better remote access solution — and ultimately turned to cybersecurity vendor Zscaler, a provider of zero trust network access (ZTNA) technology. Zscaler’s cloud-based platform not only addressed the scalability issues, but also boosted security by ensuring that only authorized users could connect to applications, Singleton said. The remote access approach is described as “zero trust” because it essentially assumes that users are unauthorized, by default — and it requires more proof of their legitimacy than traditional methods. To achieve this, ZTNA vendors such as Zscaler consider additional context factors beyond just authentication of identity, such as the security posture of a user’s device and the application or data they’re trying to access. Irregularities and unusual behavior can thus be identified immediately, and malicious actors can be denied access. At the core of Zscaler’s products is its Zero Trust Exchange, which combines a cloud-based secure web gateway with cloud-delivered ZTNA. Powered by AI/ML “Having 30,000 remote workers would have meant 30,000 ‘branches’ in a traditional network, each of which pose a potential security risk,” Singleton said. “With the Zscaler Zero Trust Exchange, all users were enabled to securely and productively perform their jobs from any remote location.” And to help make this all possible, Zscaler’s platform leverages advanced artificial intelligence (AI) and machine learning (ML) technology, according to Howie Xu, vice president of machine learning at AI at the company. For ZTNA to work optimally for an organization, the system really requires policies that are personalized, granular, and dynamic. But at a certain scale, that’s an extremely difficult thing for a company to implement manually — and the fact that many workers are remote only adds further complexity, Xu said. With zero trust, “you have to leverage AI machine learning at some point,” he said. “Once the scale reaches a certain level, it’s impossible to write rules anymore.” To manually maintain personalized and dynamic policies for a large organization, you would likely need dozens of staffers devoted to just doing that, Xu said. Zscaler’s AI/ML, however, can serve as an “assistant” on this work that takes away much of the manual effort required, he said. “You still need to do some work. AI/ML is not a robot that can do anything and everything. We are not there today,” Xu said. “But it alleviates [the manual work] tremendously.” And compared to VPN, the use of AI/ML with ZTNA is a major part of why it’s superior from a security perspective, he noted. Attempting to use VPN to achieve “granular, personalized, dynamic, contextual policies” is “not even possible,” Xu said. “You have to use more intelligent policies for this purpose.” Granular approach to AI-powered security The state of Oklahoma is currently in the midst of rolling out AI-powered intelligent policies as part of the Zscaler Private Access (ZPA) product, Singleton said. “ZPA Intelligent Policy will help develop an incredibly granular approach to segmentation of applications — and ultimately users,” he said. “This is huge for improving the cybersecurity posture of organizations with large remote workforces, as enterprise assets must co-exist with consumer/commercial products and environments.” If these advantages weren’t enough for an organization to consider switching from VPN to ZTNA for their hybrid workforce, one can also consider that VPN has had a hand in enabling some major breaches, such as the Colonial Pipeline ransomware attack in June 2020. The attack led to a shutdown of a 5,500-mile gas pipeline for five days, resulting in a fuel shortage that affected more than 10,000 gas stations across the Southeastern U.S. Without a doubt, breaches such as the Colonial Pipeline ransomware attack have shown that VPNs can be a serious liability, said Jay Chaudhry, founder and CEO of Zscaler. In the Colonial Pipeline breach, the attackers stole VPN credentials, “got on the network, moved laterally, found a high-value billing application – and then encrypted it and stole the data,” Chaudhry said. “It highlighted the notion that VPNs [can be] dangerous – dangerous because they put you on the network, and then you can move laterally.” By contrast, the idea of zero trust is to “connect users to applications – just applications, not to the network,” he said. ZTNA growth By many indications, zero trust network access is starting to gain some major momentum as many organizations settle into a permanently hybrid approach for their workforce. At least 40% of remote access to corporate resources will be provided “predominantly” through ZTNA by 2024, according to research from Gartner. That’s compared to less than 5% in late 2020, Gartner reported in November, during its Security & Risk Management Summit — Americas virtual conference. Because of all the scalability and security benefits of ZTNA — including minimization of lateral movement and personalization of access policies for workers — the zero trust approach brings significant advantages over VPN, according to Thomas Lintemuth, senior director and analyst at Gartner. “ZTNA does push beyond ‘good enough,’ into having a really great product from a security standpoint,” Lintemuth said during a session at the recent Gartner security conference. “When we look at the battle between ZTNA and VPN, the winner of this battle is ZTNA.” That’s not to say there aren’t challenges around moving to a zero trust architecture, he noted. For one thing, an organization must have a comprehensive understanding of the applications that its users need access to — and many organizations do not, Lintemuth said. For this and other reasons, a gradual approach to phasing in ZTNA is often warranted, said Banyan Security cofounder and CEO Jayanth Gummaraju. The ability for ZTNA and VPN to coexist for some period of time can be necessary in order to help customers make the shift, Gummaraju said. And so can AI/ML. At identity and access management vendor ForgeRock, for instance, the company’s AI-powered Autonomous Identity platform brings automation for role-based access control (RBAC), a key element of  establishing a zero trust architecture.  Achieving ‘least privilege’ AI enables RBAC, which is also a feature of Zscaler’s zero trust platform, to fulfill its potential for determining and enforcing an appropriate level of access for each individual user. This allows an organization to get to the point of establishing “least privilege” access, where users only get access to what they really need, according to the company. By automating role-based access control, “it helps companies use minimal resources to maintain their RBAC environment,” said David Burden, CIO of ForgeRock, in an email. The added complexities of securing the remote workforce has only made automation of RBAC even more essential, Burden said. With a distributed workforce, “it has been difficult to box employees into certain roles or types of access,” he said. “For many employees these days, they’re wearing multiple hats at work and need permission to access all sorts of systems and data that normally would be contained to a single role.” This new reality leads to “massive overhead” in maintaining the proper access for workers, Burden said. “It is extremely time-consuming to manually create, review and approve or remove user access in traditional systems.” That’s where a more autonomous approach can make a big difference, he said. As an example, ForgeRock Autonomous Identity enables the automatic approval and certification of high-confidence, low-risk access requests, as well as automatic revocation of stale user access rights and user removal, according to Burden. “This AI-driven analysis reduces operational access request burdens, and accelerates certification campaigns across the organization,” he said. Tightening up security with AI Leveraging AI is now essential in order to achieve accuracy with securing permissions, ForgeRock CEO Fran Rosch said. He cited an example of a recent customer that increased its entitlement rejections by 300% after deploying ForgeRock. “Because it was previously all done by these rules, and people were rubber-stamping these entitlement requests, they were letting these things go that they should never have approved,” Rosch said. “That was increasing the risk to the company. Because there were people who had no business accessing HR data, and no business accessing sales data, that were getting that information. So by leveraging the AI, a 300% increase in request rejections really tightened up the security of the organization.” Crucially, ForgeRock’s AI-driven zero trust system also provides explainability about why rejections take place, including with a visual representation, he said. “Companies want to know why. They don’t just want to know that ‘the secret algorithm rejected this.’ Well, why? What was it about this user behavior?” Rosch said. “So having that explainability front and center is really important. Because a lot of times you have to explain that to the user. Why did we reject this? Well, because here’s what was going on with your behavior.” The bottom line is that while AI-powered zero trust is not a silver bullet to address all of the challenges of securing a remote workforce, it can play an essential part — particularly when used in concert with other cybersecurity technologies, such as detection and response platforms and email security.  The AI advantage With Microsoft’s view into many of the applications and endpoints used by businesses, the company aims to offer customers the full package pertaining to security — across zero trust identity security and threat detection. And the tech giant is making heavy use of AI/ML to accomplish this, said Alex Weinert, partner director of identity security at Microsoft. Thanks to the company’s “massive investments in data science and AI,” Microsoft is able to process tens of billions of logins per day via its Azure Active Directory (AD) identity authentication service, Weinert said.  Azure AD enables zero trust security via conditional access, the mechanism used for considering contextual factors in deciding whether to grant a user access. Microsoft then correlates that data with telemetry from endpoints (those that are secured with Microsoft Defender) and from email accounts (in Microsoft Exchange), he said. Bringing all of that together, and using AI/ML technologies such as predictive algorithms, customers are provided with an accurate picture of what is truly happening in their environment, Weinert said. Ultimately, adopting a zero trust approach brings a shift of mindset toward getting “proactive about security,” he said. “Zero trust is about saying, ‘Let’s prepare the ground so that we have the best possible advantage against the attackers.'” VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Learn More The Data Summit Registration is Now Live Join us with your free pass on March 9 as we, alongside industry experts, dive into end-user case studies to untangle the complexity, importance and cost of data among various industry verticals. Register Now The Data Summit Join us with your free pass on March 9 as we, alongside industry experts, dive into end-user case studies to untangle the complexity, importance and cost of data among various industry verticals. 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Why zero-trust security tops VPN for remote work — using AI
Why zerotrust security tops VPN remote work AI VentureBeat Skip main content VentureBeat Home Events GamesBeat Jobs The Data Summit Account Settings Log Out Become Member VentureBeat Home VentureBeat ARVR Big Data Cloud Commerce DataDecisionMakers Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow Twitter follow Facebook follow LinkedIn Follow RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow RSS GamesBeat Games Esports PC Gaming Follow follow Twitter Follow RSS Events Upcoming Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Contribute DataDecisionMakers Deals Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat Community access 3 premium posts unlimited videos month. Learn More Sign business email continue ticket purchase Please wait... Share Share Facebook Share Twitter Share LinkedIn VentureBeat Home Social Links Newsletters Events Profile Why zerotrust security tops VPN remote work AI Kyle Alspach March 3, 2022 1:02 PM Share Facebook Share Twitter Share LinkedIn Join todays leading executives online Data Summit March 9th. here. When Oklahoma shifted remote work start pandemic 2020, security issues involved employees working home manifested immediately. Like organizations situation, state government turned VPN virtual private network attempt provide secure remote access work applications data. As technology emerged early years internet, VPN built different time. And showed, states 30,000 employees tried use homes. Many state agencies initially experienced outages networks overwhelmed external logins service requests, said Matt Singleton, CISO state Oklahoma, email. Our legacy VPN solutions simply meet increased volume scalability demands. This resulted surge calls service desks hundreds VPN tickets day, increased cyber risk. As result, state government went looking better remote access solution ultimately turned cybersecurity vendor Zscaler, provider zero trust network access ZTNA technology. Zscalers cloudbased platform addressed scalability issues, boosted security ensuring authorized users connect applications, Singleton said. The remote access approach described zero trust essentially assumes users unauthorized, default requires proof legitimacy traditional methods. To achieve this, ZTNA vendors Zscaler consider additional context factors authentication identity, security posture users device application data theyre trying access. Irregularities unusual behavior identified immediately, malicious actors denied access. At core Zscalers products Zero Trust Exchange, combines cloudbased secure web gateway clouddelivered ZTNA. Powered AIML Having 30,000 remote workers meant 30,000 branches traditional network, pose potential security risk, Singleton said. With Zscaler Zero Trust Exchange, users enabled securely productively perform jobs remote location. And help possible, Zscalers platform leverages advanced artificial intelligence AI machine learning ML technology, according Howie Xu, vice president machine learning AI company. For ZTNA work optimally organization, requires policies personalized, granular, dynamic. But certain scale, thats extremely difficult thing company implement manually fact workers remote adds complexity, Xu said. With zero trust, leverage AI machine learning point, said. Once scale reaches certain level, impossible write rules anymore. To manually maintain personalized dynamic policies large organization, likely need dozens staffers devoted that, Xu said. Zscalers AIML, however, serve assistant work takes away manual effort required, said. You need work. AIML robot everything. We today, Xu said. But alleviates [the manual work] tremendously. And compared VPN, use AIML ZTNA major superior security perspective, noted. Attempting use VPN achieve granular, personalized, dynamic, contextual policies possible, Xu said. You use intelligent policies purpose. Granular approach AIpowered security The state Oklahoma currently midst rolling AIpowered intelligent policies Zscaler Private Access ZPA product, Singleton said. ZPA Intelligent Policy help develop incredibly granular approach segmentation applications ultimately users, said. This huge improving cybersecurity posture organizations large remote workforces, enterprise assets coexist consumercommercial products environments. If advantages werent organization consider switching VPN ZTNA hybrid workforce, consider VPN hand enabling major breaches, Colonial Pipeline ransomware attack June 2020. The attack led shutdown 5,500mile gas pipeline days, resulting fuel shortage affected 10,000 gas stations Southeastern U.S. Without doubt, breaches Colonial Pipeline ransomware attack shown VPNs liability, said Jay Chaudhry, founder CEO Zscaler. In Colonial Pipeline breach, attackers stole VPN credentials, got network, moved laterally, highvalue billing application encrypted stole data, Chaudhry said. It highlighted notion VPNs [can be] dangerous dangerous network, laterally. By contrast, idea zero trust connect users applications applications, network, said. ZTNA growth By indications, zero trust network access starting gain major momentum organizations settle permanently hybrid approach workforce. At 40 remote access corporate resources provided predominantly ZTNA 2024, according research Gartner. Thats compared 5 late 2020, Gartner reported November, Security Risk Management Summit Americas virtual conference. Because scalability security benefits ZTNA including minimization lateral movement personalization access policies workers zero trust approach brings significant advantages VPN, according Thomas Lintemuth, senior director analyst Gartner. ZTNA push good enough, great product security standpoint, Lintemuth said session recent Gartner security conference. When look battle ZTNA VPN, winner battle ZTNA. Thats arent challenges moving zero trust architecture, noted. For thing, organization comprehensive understanding applications users need access organizations not, Lintemuth said. For reasons, gradual approach phasing ZTNA warranted, said Banyan Security cofounder CEO Jayanth Gummaraju. The ability ZTNA VPN coexist period time necessary order help customers shift, Gummaraju said. And AIML. At identity access management vendor ForgeRock, instance, companys AIpowered Autonomous Identity platform brings automation rolebased access control RBAC, key element establishing zero trust architecture. Achieving privilege AI enables RBAC, feature Zscalers zero trust platform, fulfill potential determining enforcing appropriate level access individual user. This allows organization point establishing privilege access, users access need, according company. By automating rolebased access control, helps companies use minimal resources maintain RBAC environment, said David Burden, CIO ForgeRock, email. The added complexities securing remote workforce automation RBAC essential, Burden said. With distributed workforce, difficult box employees certain roles types access, said. For employees days, theyre wearing multiple hats work need permission access sorts systems data normally contained single role. This new reality leads massive overhead maintaining proper access workers, Burden said. It extremely timeconsuming manually create, review approve remove user access traditional systems. Thats autonomous approach big difference, said. As example, ForgeRock Autonomous Identity enables automatic approval certification highconfidence, lowrisk access requests, automatic revocation stale user access rights user removal, according Burden. This AIdriven analysis reduces operational access request burdens, accelerates certification campaigns organization, said. Tightening security AI Leveraging AI essential order achieve accuracy securing permissions, ForgeRock CEO Fran Rosch said. He cited example recent customer increased entitlement rejections 300 deploying ForgeRock. Because previously rules, people rubberstamping entitlement requests, letting things approved, Rosch said. That increasing risk company. Because people business accessing HR data, business accessing sales data, getting information. So leveraging AI, 300 increase request rejections tightened security organization. Crucially, ForgeRocks AIdriven zero trust provides explainability rejections place, including visual representation, said. Companies want know why. They dont want know secret algorithm rejected this. Well, why? What user behavior? Rosch said. So explainability center important. Because lot times explain user. Why reject this? Well, heres going behavior. The line AIpowered zero trust silver bullet address challenges securing remote workforce, play essential particularly concert cybersecurity technologies, detection response platforms email security. The AI advantage With Microsofts view applications endpoints businesses, company aims offer customers package pertaining security zero trust identity security threat detection. And tech giant making heavy use AIML accomplish this, said Alex Weinert, partner director identity security Microsoft. Thanks companys massive investments data science AI, Microsoft able process tens billions logins day Azure Active Directory AD identity authentication service, Weinert said. Azure AD enables zero trust security conditional access, mechanism considering contextual factors deciding grant user access. Microsoft correlates data telemetry endpoints secured Microsoft Defender email accounts Microsoft Exchange, said. Bringing together, AIML technologies predictive algorithms, customers provided accurate picture truly happening environment, Weinert said. Ultimately, adopting zero trust approach brings shift mindset getting proactive security, said. Zero trust saying, Lets prepare ground best possible advantage attackers. VentureBeats mission digital town square technical decisionmakers gain knowledge transformative enterprise technology transact. Learn More The Data Summit Registration Now Live Join free pass March 9 we, alongside industry experts, dive enduser case studies untangle complexity, importance cost data industry verticals. Now The Data Summit Join free pass March 9 we, alongside industry experts, dive enduser case studies untangle complexity, importance cost data industry verticals. Now Join forces VentureBeat upcoming AI data events Sponsor VB Events VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Special Issue Product Comparisons Jobs About Careers Do Not Sell My Personal Information 2022 VentureBeat. . We collect cookies personal information interaction website. For information categories personal information collect purposes use for, view Notice Collection.
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https://venturebeat.com/ai/galileo-offers-new-tools-to-explain-why-your-ai-model-is-hallucinating/
2023-09-19T00:00:00
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Galileo's new tools will explain why your AI model is hallucinating | VentureBeat
Galileo's new tools will explain why your AI model is hallucinating | VentureBeat Skip to main content Events Video Special Issues Jobs VentureBeat Homepage Subscribe Artificial Intelligence View All AI, ML and Deep Learning Auto ML Data Labelling Synthetic Data Conversational AI NLP Text-to-Speech Security View All Data Security and Privacy Network Security and Privacy Software Security Computer Hardware Security Cloud and Data Storage Security Data Infrastructure View All Data Science Data Management Data Storage and Cloud Big Data and Analytics Data Networks Automation View All Industrial Automation Business Process Automation Development Automation Robotic Process Automation Test Automation Enterprise Analytics View All Business Intelligence Disaster Recovery Business Continuity Statistical Analysis Predictive Analysis More Data Decision Makers Virtual Communication Team Collaboration UCaaS Virtual Reality Collaboration Virtual Employee Experience Programming & Development Product Development Application Development Test Management Development Languages Subscribe Events Video Special Issues Jobs Galileo offers new tools to explain why your AI model is hallucinating Sean Michael Kerner@TechJournalist September 19, 2023 9:00 AM Share on Facebook Share on Twitter Share on LinkedIn Credit: VentureBeat made with Midjourney Head over to our on-demand library to view sessions from VB Transform 2023. Register Here Why is a specific generative AI model producing hallucinations when given a seemingly typical prompt? It’s often a perplexing question that is difficult to answer. San Francisco-based artificial intelligence startup Galileo is aiming to help its users to better understand and explain the output of large language models (LLMs), with a series of new monitoring and metrics capabilities that are being announced today. The new features are part of an update to the Galileo LLM Studio, which the company first announced back in June. Galileo was founded by former Google employees and raised an $18 million round of funding to help bring data intelligence to AI. Galileo Studio now allows users to evaluate the prompts and context of all of the inputs, but also observe the outputs in real time. With the new monitoring capabilities, the company claims that it is able to provide better insights into why model outputs are being generated, with new metrics and guardrails to optimize LLMs. “What’s really new here in the last couple of months is we have closed the loop by adding real time monitoring, because now you can actually observe what’s going wrong,” Vikram Chatterji, co-founder and CEO of Galileo told VentureBeat in an exclusive interview. “It has become an end to end product for continuous improvement of large language model applications.” Event VB Transform 2023 On-Demand Did you miss a session from VB Transform 2023? Register to access the on-demand library for all of our featured sessions.   Register Now How LLM monitoring works in Galileo Modern LLMs typically rely on the use of API calls from an application to the LLM to get a response. Chatterji explained that Galileo intercepts those API calls both for the input going into the LLM and now also for the generated output. With that intercepted data, Galileo is able to provide users with near real-time information about performance of the model as well as the accuracy of the outputs. Measuring the factual accuracy of a generated AI output, often leads to a discussion about hallucination, when it generates an output that is not accurately based on facts.  Generative AI for text with transformer models all work by predicting what the next correct word should be in a sequence of words. It’s an approach that is generated with the use of model weights and scores, which typically are completely hidden from the end user. “Essentially what the LLM is doing is it’s trying to predict the probability of what the next word should be,” he said. “But it also has an idea for what the next alternative words should be and it assigns probabilities to all of those different tokens or different words.” Galileo hooks into the model itself to get visibility into exactly what those probabilities are and then provides a basis of additional metrics to better explain model output and understand why a particular hallucination occurred. By providing that insight, Chatterji said the goal is to help developers to better adjust models and fine tuning to get the best results. He noted that where Galileo really helps is by not just quantifying telling developers that the potential for hallucination exists, but also literally explaining in a visual way what words or prompts a model was confused on, on a per-word basis. Guardrails and grounding help developers to sleep at night The risk of an LLM based application providing a response that could lead to trouble, by way of inaccuracy, language or confidential information disclosure, is one that Chatterji said will keep some developers up at night. Being able to identify why a model hallucinated and providing metrics around it is helpful, but more is needed. So, the Galileo Studio update also includes new guardrail metrics. For AI models, a guardrail is a limitation on what the model can generate, in terms of information, tone and language. Chatterji noted that for organizations in financial services and healthcare, there are regulatory compliance concerns about information that can be disclosed and the language that is used. With guardrail metrics, Galileo users can set up their own guardrails and then monitor and measure model output to make sure that LLM never goes off the rails. Another metric that Galileo is now tracking is one that Chatterji referred to as “groundedness,” the ability to determine if a model’s output is grounded or within the bounds of the training data it was provided.  For example, Chatterji explained that if a model is trained on mortgage loan documents but then provides an answer about something completely outside of those documents, Galileo can detect that through the groundedness metric. This lets users know if a response is truly relevant to the context the model was trained on. While groundedness might sound like another way to determine if a hallucination has occurred there is a nuanced difference.  Galileo’s hallucination metric analyzes how confident a model was in its response and identifies specific words it was unsure about, measuring the model’s own confidence and potential confusion.  In contrast, the groundedness metric checks if the model’s output is grounded in, or relevant to the actual training data that was provided. Even if a model seems confident, its response could be about something completely outside the scope of what it was trained on.  “So now we have a whole host of metrics that the users can now get a better sense for exactly what’s going on in production,”Chatterji said. VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings. VentureBeat's Data and AI Insider's Event Join us for key insights and networking with leaders in the Data and AI spaces at VB's exclusive after hours event this November! Learn More VentureBeat Homepage Follow us on Facebook Follow us on Twitter Follow us on LinkedIn Follow us on RSS Press Releases Contact Us Advertise Share a News Tip Contribute to DataDecisionMakers Careers Privacy Policy Terms of Service Do Not Sell My Personal Information © 2023 VentureBeat. All rights reserved. Want must-read news straight to your inbox? Sign up for AI Weekly View Newsletters No thanks
Galileo's new tools will explain why your AI model is hallucinating
Galileos new tools explain AI model hallucinating VentureBeat Skip main content Events Video Special Issues Jobs VentureBeat Home Artificial Intelligence View All AI, ML Deep Learning Auto ML Data Labelling Synthetic Data Conversational AI NLP TexttoSpeech Security View All Data Security Privacy Network Security Privacy Software Security Computer Hardware Security Cloud Data Storage Security Data Infrastructure View All Data Science Data Management Data Storage Cloud Big Data Analytics Data Networks Automation View All Industrial Automation Business Process Automation Development Automation Robotic Process Automation Test Automation Enterprise Analytics View All Business Intelligence Disaster Recovery Business Continuity Statistical Analysis Predictive Analysis More Data Decision Makers Virtual Communication Team Collaboration UCaaS Virtual Reality Collaboration Virtual Employee Experience Programming Development Product Development Application Development Test Management Development Languages Events Video Special Issues Jobs Galileo offers new tools explain AI model hallucinating Sean Michael Kerner September 19, 2023 9:00 AM Share Facebook Share Twitter Share LinkedIn Credit: VentureBeat Midjourney Head ondemand library view sessions VB Transform 2023. Here Why specific generative AI model producing hallucinations given seemingly typical prompt? Its perplexing question difficult answer. San Franciscobased artificial intelligence startup Galileo aiming help users better understand explain output large language models LLMs, series new monitoring metrics capabilities announced today. The new features update Galileo LLM Studio, company announced June. Galileo founded Google employees raised 18 million round funding help bring data intelligence AI. Galileo Studio allows users evaluate prompts context inputs, observe outputs real time. With new monitoring capabilities, company claims able provide better insights model outputs generated, new metrics guardrails optimize LLMs. Whats new couple months closed loop adding real time monitoring, actually observe whats going wrong, Vikram Chatterji, cofounder CEO Galileo told VentureBeat exclusive interview. It end end product continuous improvement large language model applications. Event VB Transform 2023 OnDemand Did miss session VB Transform 2023? access ondemand library featured sessions. Now How LLM monitoring works Galileo Modern LLMs typically rely use API calls application LLM response. Chatterji explained Galileo intercepts API calls input going LLM generated output. With intercepted data, Galileo able provide users near realtime information performance model accuracy outputs. Measuring factual accuracy generated AI output, leads discussion hallucination, generates output accurately based facts. Generative AI text transformer models work predicting correct word sequence words. Its approach generated use model weights scores, typically completely hidden end user. Essentially LLM trying predict probability word be, said. But idea alternative words assigns probabilities different tokens different words. Galileo hooks model visibility exactly probabilities provides basis additional metrics better explain model output understand particular hallucination occurred. By providing insight, Chatterji said goal help developers better adjust models fine tuning best results. He noted Galileo helps quantifying telling developers potential hallucination exists, literally explaining visual way words prompts model confused on, perword basis. Guardrails grounding help developers sleep night The risk LLM based application providing response lead trouble, way inaccuracy, language confidential information disclosure, Chatterji said developers night. Being able identify model hallucinated providing metrics helpful, needed. So, Galileo Studio update includes new guardrail metrics. For AI models, guardrail limitation model generate, terms information, tone language. Chatterji noted organizations financial services healthcare, regulatory compliance concerns information disclosed language used. With guardrail metrics, Galileo users set guardrails monitor measure model output sure LLM goes rails. Another metric Galileo tracking Chatterji referred groundedness, ability determine models output grounded bounds training data provided. For example, Chatterji explained model trained mortgage loan documents provides answer completely outside documents, Galileo detect groundedness metric. This lets users know response truly relevant context model trained on. While groundedness sound like way determine hallucination occurred nuanced difference. Galileos hallucination metric analyzes confident model response identifies specific words unsure about, measuring models confidence potential confusion. In contrast, groundedness metric checks models output grounded in, relevant actual training data provided. Even model confident, response completely outside scope trained on. So host metrics users better sense exactly whats going production,Chatterji said. 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"facebook", "follow", "twitter", "follow", "linkedin", "follow", "rss", "press", "releases", "advertise", "share", "news", "tip", "contribute", "careers", "sell", "personal", "information", "venturebeat", "want", "mustread", "news", "straight", "inbox", "sign", "ai", "weekly", "view", "newsletters", "thanks" ]
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4,120
https://voonze.com/100m-or-50m-musks-donation-in-openai-appears-to-be-foggy/
2023-06-03T00:00:00
en
$100M or $50M – Musk’s Donation in OpenAI Appears to be Foggy | How smart Technology changing lives
$100M or $50M – Musk’s Donation in OpenAI Appears to be Foggy | How smart Technology changing lives Tech News Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editor’s Pick Search TechSmartHow smart tech is changing life TechSmartHow smart tech is changing life Tech News Social MediaWhatsApp Facebook LinkedIn Pinterest Snapchat TikTOk Twitter AppsYoutube Photoshop Netflix Chrome Spotify Download Gmail ReviewsApps Reviews Gadget Reviews Game Reviews Laptop Reviews OthersInnovation 5G News Artificial Intelligence Car Tech Communication Computing Cybersecurity Robotics Space tech Web tools Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editor’s Pick TechSmartAerezona Developers Tech News Social MediaWhatsApp Facebook LinkedIn Pinterest Snapchat TikTOk Twitter AppsYoutube Photoshop Netflix Chrome Spotify Download Gmail ReviewsApps Reviews Gadget Reviews Game Reviews Laptop Reviews OthersInnovation 5G News Artificial Intelligence Car Tech Communication Computing Cybersecurity Robotics Space tech Web tools Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editor’s Pick Search here...Search HomeTech News$100M or $50M - Musk’s Donation in OpenAI Appears to be Foggy $100M or $50M – Musk’s Donation in OpenAI Appears to be Foggy Tech News FacebookTwitterPinterestWhatsApp 107167122 1671131278338 gettyimages 1240222695 porzycki elonmusk220424 np5yo scaled e1684406810148.jpeg - Advertisement - Elon Musk’s contribution to OpenAI, the non-profit artificial intelligence research organization he helped launch, has been under scrutiny following a recent CNBC interview. Musk stepped down from the OpenAI board in 2018.- Advertisement - Recently, he expressed his uncertainty about the exact amount he donated, suggesting it to be around $50 million. This is a significant departure from his earlier claims of a $100 million donation. Twitter source code was leaked via GitHub by an anonymous user TAGS The True Picture AI researchers Greg Brockman and Ilya Sutskever established OpenAI with the objective of benefiting humanity by advancing digital intelligence. Moreover, they wanted to make the process free from financial return pressures. Initially, OpenAI was co-chaired by Sam Altman and Musk. Besides, giant organizations like Amazon also committed to donating. In the tech world, the organization started to be identified as a billion-dollar effort.- Advertisement - However, the difference between a commitment and an actual donation is stark. As of 2021, the total amount donated to OpenAI, as per federal tax filings, was only $133.2 million. It’s far short of the billion-dollar commitment made at its inception. Furthermore, OpenAI received the majority of these funds before its transition to a for-profit entity in 2019. Currently, the non-profit wing of OpenAI is almost inactive, having received just over $3,000 in 2021. Sources suggest that Musk’s claim of donating $100 million doesn’t align with the IRS and state regulatory filings.- Advertisement - Other minor donations include the gift of Tesla vehicles to OpenAI employees. The documents reveal that the contributions directly traceable to Musk add up to approximately $15 million. These include a $10 million donation to YC.org, which then donated the same amount to OpenAI. It was followed by an additional contribution of around $5 million from Musk to YC.org. Is It Anonymous? The documents, however, don’t rule out the possibility of anonymous donations. Rich individuals often channel their donations through Donor Advised Funds (DAFs) to maintain anonymity. Musk’s Foundation made significant donations to such a fund.  It, in turn, put in approximately $8m in OpenAI over a period of two years. Now, if any of this was Musk’s contribution remains foggy due to the many donors and substantial assets the fund holds. iPhone 14 charging tests indicate Apple’s 30W model as the best option TAGS applechargingindicateiphonemodeloptiontests While Musk’s total contribution remains unclear, other donors’ contributions have been tracked. Notably, Sam Altman, now OpenAI’s CEO, loaned the organization $3.75 million to start, which he later forgave as a gift. Reid Hoffman, through his foundation Aphorism, donated $6 million over two years. By 2019, OpenAI transitioned to a for-profit entity and took on a $1 billion investment from Microsoft. Musk’s criticism of OpenAI’s for-profit transition is notable. His departure from OpenAI’s board coincided with a period of escalating costs for the organization, with its computing bill rising significantly. Despite the discrepancies and controversies, OpenAI continues to be one of the most valuable and well-known tech ventures today. Still, as Musk stated in his interview, the transition of a non-profit, open-source organization into a for-profit, closed-source entity is indeed perplexing. If this is legal, why doesn’t everyone do it?Elon Musk From the analysis, it appears that Musk’s contribution to OpenAI could be approximately $57.4 million, considering all non-Musk contributions. However, this figure assumes zero donations from several founding and new donors, as well as multiple corporate supporters. - Advertisement - Latest articles Tech News What is Spatial Audio all about and why is it so important to Apple? One of the latest revolutionary trends in the realm of the listening experience is... Microsoft Google Chrome 115 Beta gets desktop reading mode, inactive tab controls, and more Google Chrome Beta finally reached version 115 with several interesting news. The first... More like this TechSmartHow smart tech is changing life By AEREZONA DEVELOPERS Office #31, 3rd Floor, Frahan Plaza G-11 Markaz, Islamabad. email: [email protected] FacebookInstagramTwitter Privacy Policy Cookies policy Terms & Conditions Disclaimer Contact Us Apps Digital Box PC Box Smart World Health Financial advices Techmarkup Tallaght TV probox © 2021 voonze.com BY AEREZONA DEVELOPERS. X Go to mobile version
$100M or $50M
100M 50M Musks Donation OpenAI Appears Foggy How smart Technology changing lives Tech News Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editors Pick TechSmartHow smart tech changing life TechSmartHow smart tech changing life Tech News Social MediaWhatsApp Facebook LinkedIn Pinterest Snapchat TikTOk Twitter AppsYoutube Photoshop Netflix Chrome Spotify Download Gmail ReviewsApps Reviews Gadget Reviews Game Reviews Laptop Reviews OthersInnovation 5G News Artificial Intelligence Car Tech Communication Computing Cybersecurity Robotics Space tech Web tools Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editors Pick TechSmartAerezona Developers Tech News Social MediaWhatsApp Facebook LinkedIn Pinterest Snapchat TikTOk Twitter AppsYoutube Photoshop Netflix Chrome Spotify Download Gmail ReviewsApps Reviews Gadget Reviews Game Reviews Laptop Reviews OthersInnovation 5G News Artificial Intelligence Car Tech Communication Computing Cybersecurity Robotics Space tech Web tools Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editors Pick here... HomeTech News100M 50M Musks Donation OpenAI Appears Foggy 100M 50M Musks Donation OpenAI Appears Foggy Tech News FacebookTwitterPinterestWhatsApp 107167122 1671131278338 gettyimages 1240222695 porzycki elonmusk220424 np5yo scaled e1684406810148.jpeg Advertisement Elon Musks contribution OpenAI, nonprofit artificial intelligence research organization helped launch, scrutiny following recent CNBC interview. Musk stepped OpenAI board 2018. Advertisement Recently, expressed uncertainty exact donated, suggesting 50 million. This significant departure earlier claims 100 million donation. Twitter source code leaked GitHub anonymous user TAGS The True Picture AI researchers Greg Brockman Ilya Sutskever established OpenAI objective benefiting humanity advancing digital intelligence. Moreover, wanted process free financial return pressures. Initially, OpenAI cochaired Sam Altman Musk. Besides, giant organizations like Amazon committed donating. In tech world, organization started identified billiondollar effort. Advertisement However, difference commitment actual donation stark. As 2021, total donated OpenAI, federal tax filings, 133.2 million. Its far short billiondollar commitment inception. Furthermore, OpenAI received majority funds transition forprofit entity 2019. Currently, nonprofit wing OpenAI inactive, received 3,000 2021. Sources suggest Musks claim donating 100 million doesnt align IRS state regulatory filings. Advertisement Other minor donations include gift Tesla vehicles OpenAI employees. The documents reveal contributions directly traceable Musk add approximately 15 million. These include 10 million donation , donated OpenAI. It followed additional contribution 5 million Musk . Is It Anonymous? The documents, however, dont rule possibility anonymous donations. Rich individuals channel donations Donor Advised Funds DAFs maintain anonymity. Musks Foundation significant donations fund. It, turn, approximately 8m OpenAI period years. Now, Musks contribution remains foggy donors substantial assets fund holds. iPhone 14 charging tests indicate Apples 30W model best option TAGS applechargingindicateiphonemodeloptiontests While Musks total contribution remains unclear, donors contributions tracked. Notably, Sam Altman, OpenAIs CEO, loaned organization 3.75 million start, later forgave gift. Reid Hoffman, foundation Aphorism, donated 6 million years. By 2019, OpenAI transitioned forprofit entity took 1 billion investment Microsoft. Musks criticism OpenAIs forprofit transition notable. His departure OpenAIs board coincided period escalating costs organization, computing rising significantly. Despite discrepancies controversies, OpenAI continues valuable wellknown tech ventures today. Still, Musk stated interview, transition nonprofit, opensource organization forprofit, closedsource entity perplexing. If legal, doesnt it?Elon Musk From analysis, appears Musks contribution OpenAI approximately 57.4 million, considering nonMusk contributions. However, figure assumes zero donations founding new donors, multiple corporate supporters. Advertisement Latest articles Tech News What Spatial Audio important Apple? One latest revolutionary trends realm listening experience is... Microsoft Google Chrome 115 Beta gets desktop reading mode, inactive tab controls, Google Chrome Beta finally reached version 115 interesting news. The first... More like TechSmartHow smart tech changing life By AEREZONA DEVELOPERS Office 31, 3rd Floor, Frahan Plaza G11 Markaz, Islamabad. email: [emailprotected] FacebookInstagramTwitter policy Terms Conditions Disclaimer Us Apps Digital Box PC Box Smart World Health Financial advices Techmarkup Tallaght TV probox 2021 BY AEREZONA DEVELOPERS. X Go mobile version
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"health", "financial", "advices", "techmarkup", "tallaght", "tv", "probox", "aerezona", "developers", "mobile", "version" ]
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https://voonze.com/google-details-plans-to-use-ai-in-search-results/
2023-02-13T00:00:00
en
Google details plans to use AI in search results | How smart Technology changing lives
Google details plans to use AI in search results | How smart Technology changing lives Tech News Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? 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Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editor’s Pick Search here...Search HomeTech NewsGoogle details plans to use AI in search results Google details plans to use AI in search results Tech News Published on February 13, 2023 By Abraham FacebookTwitterPinterestWhatsApp 230207153112 google 0609 file.jpg - Advertisement - CNN  —  Google on Wednesday detailed plans to use artificial intelligence technology to radically change how people search for information online, one day after rival Microsoft announced a revamped version of Bing powered by AI. At an event in its Paris office, Prabhakar Raghavan, an SVP at Google, said the company will bring “the magic of generative AI” directly into its core search product and use artificial intelligence to pave the way for the “next frontier of our information products.” - Advertisement - Generative AI is the technology that underpins ChatGPT, the viral AI chatbot tool backed by Microsoft. These tools are trained on vast troves of information online in order to generate compelling written responses to user prompts and queries. It can also be used to generate images. In his presentation, Raghavan noted this technology would allow Google’s search engine to offer more complex and conversational responses to queries, including providing bullet points ticking off the best times of year to see various constellations and also offering pros and cons for buying an electric vehicle. “The potential for generative AI goes far beyond language and text,” he said, noting that the new tech can be used to search through information “visually.” “With generative AI, we can already automate 360-degree spins of sneakers from just a handful of still photos, something that would have previously required merchants to use hundreds of product photos and costly technology,” Raghavan said. “As we look ahead, you could imagine how generative AI will enable people to interact with visual information in entirely new ways.” - Advertisement - The event on Wednesday comes just days after Google unveiled its new AI-powered chatbot dubbed “Bard” in an apparent bid to compete with the viral success of ChatGPT. Access to Bard was opened up to “trusted testers” earlier this week, and Google has plans to make the tool available to the public “in the coming weeks,” according to a blog post Monday from CEO Sundar Pichai. “We’ll continue to use feedback from internal and external testing to make sure it meets the high bar, our high bar for quality, safety, and groundedness, before we launch more broadly,” Raghavan said. - Advertisement - Microsoft held its own press event on Tuesday, as an AI arms race between the tech giants heats up. At Microsoft’s event, the tech giant announced an overhaul of its Bing search engine and Edge web browser that would be powered by AI. Microsoft last month confirmed plans to invest billions into OpenAI, the company behind ChatGPT. ChatGPT’s meteoric rise in popularity has reportedly prompted Google’s management to declare a “code red” situation for its core product: online search. In the two months since it launched to the public, ChatGPT has been used to generate essays and song lyrics, and answer questions one might have previously searched for on Google. The underlying technology that supports Bard has been around for some time, though not widely available to the public. Google unveiled its Language Model for Dialogue Applications (or LaMDA) some two years ago, and said that this technology will power Bard. LaMDA made headlines late last year when a former Google engineer claimed the chatbot was “sentient.” His claims were widely criticized in the AI community. The rise of AI-powered chatbots, and the incorporation of this technology into products like online search, could also carry risks. Because these tools are trained on data online, experts have noted they have the potential to perpetuate biases and spread misinformation. A number of AI-powered chatbots released by tech giants over the years – from Microsoft’s infamous “Tay” in 2016 to Meta’s BlenderBot3 just last year – have run into trouble shortly after their public launch for offensive remarks. But Google and its rivals are increasingly betting on the technology’s potential to rethink search, one of the most foundational products on the internet. “Although we are 25 years into search, I dare say that our story has just begun,” Raghavan said. “We have even more exciting, AI-enabled innovations in the works that will change the way people search, work and play. We’re reinventing what it means to search and the best is yet to come.” CreditGoogle details plans to use AI in search results - Advertisement - Latest articles Latest news Super Bowl 2023: Chiefs vs. Eagles live updates By The Associated PressFebruary 13, 2023 GMThttps://apnews.com/article/kansas-city-chiefs-philadelphia-eagles-nfl-super-bowl-sports-a1647c9d0c26198598708189bcc2ee6dGLENDALE, Ariz. (AP) — The Kansas City Chiefs... Tech News iOS 16: Latest version, beta, issues, fixes, new features After announcing its big yearly operating system update in its WWDC keynote on June... More like this TechSmartHow smart tech is changing life By AEREZONA DEVELOPERS Office #31, 3rd Floor, Frahan Plaza G-11 Markaz, Islamabad. 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Google details plans to use AI in search results
Google details plans use AI search results How smart Technology changing lives Tech News Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? 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HomeTech NewsGoogle details plans use AI search results Google details plans use AI search results Tech News Published February 13, 2023 By Abraham FacebookTwitterPinterestWhatsApp 230207153112 google 0609 file.jpg Advertisement CNN Google Wednesday detailed plans use artificial intelligence technology radically change people search information online, day rival Microsoft announced revamped version Bing powered AI. At event Paris office, Prabhakar Raghavan, SVP Google, said company bring magic generative AI directly core search product use artificial intelligence pave way frontier information products. Advertisement Generative AI technology underpins ChatGPT, viral AI chatbot tool backed Microsoft. These tools trained vast troves information online order generate compelling written responses user prompts queries. It generate images. In presentation, Raghavan noted technology allow Googles search engine offer complex conversational responses queries, including providing bullet points ticking best times year constellations offering pros cons buying electric vehicle. The potential generative AI goes far language text, said, noting new tech search information visually. With generative AI, automate 360degree spins sneakers handful photos, previously required merchants use hundreds product photos costly technology, Raghavan said. As look ahead, imagine generative AI enable people interact visual information entirely new ways. Advertisement The event Wednesday comes days Google unveiled new AIpowered chatbot dubbed Bard apparent bid compete viral success ChatGPT. Access Bard opened trusted testers earlier week, Google plans tool available public coming weeks, according blog post Monday CEO Sundar Pichai. Well continue use feedback internal external testing sure meets high bar, high bar quality, safety, groundedness, launch broadly, Raghavan said. Advertisement Microsoft held press event Tuesday, AI arms race tech giants heats up. At Microsofts event, tech giant announced overhaul Bing search engine Edge web browser powered AI. Microsoft month confirmed plans invest billions OpenAI, company ChatGPT. ChatGPTs meteoric rise popularity reportedly prompted Googles management declare code red situation core product: online search. In months launched public, ChatGPT generate essays song lyrics, answer questions previously searched Google. The underlying technology supports Bard time, widely available public. Google unveiled Language Model Dialogue Applications LaMDA years ago, said technology power Bard. LaMDA headlines late year Google engineer claimed chatbot sentient. His claims widely criticized AI community. The rise AIpowered chatbots, incorporation technology products like online search, carry risks. Because tools trained data online, experts noted potential perpetuate biases spread misinformation. A number AIpowered chatbots released tech giants years Microsofts infamous Tay 2016 Metas BlenderBot3 year run trouble shortly public launch offensive remarks. But Google rivals increasingly betting technologys potential rethink search, foundational products internet. Although 25 years search, I dare story begun, Raghavan said. We exciting, AIenabled innovations works change way people search, work play. Were reinventing means search best come. CreditGoogle details plans use AI search results Advertisement Latest articles Latest news Super Bowl 2023: Chiefs vs. Eagles live updates By The Associated PressFebruary 13, 2023 GMT Ariz. AP The Kansas City Chiefs... Tech News iOS 16: Latest version, beta, issues, fixes, new features After announcing big yearly operating update WWDC keynote June... 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https://voonze.com/snapchat-launches-its-own-chatbot-powered-by-chatgpt/
2023-02-27T00:00:00
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Snapchat launches its own chatbot powered by ChatGPT | How smart Technology changing lives
Snapchat launches its own chatbot powered by ChatGPT | How smart Technology changing lives Tech News Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editor’s Pick Search TechSmartHow smart tech is changing life TechSmartAerezona Developers 5G NewsAmazonAndroidAndroid GamesAppleAppsApps ReviewsArtificial IntelligenceCar TechCelebritiesCommunicationCommunityComputingCryptoCybersecurityDedicated ServerDevelopersEconomyEditor's PickEducationEgyptElectronicsEntertainmentEntertainmentEuropeFacebookFb StoriesFinanceFootballGadgetGadget ReviewsGadgetsGame ReviewsGamingGeneralGoogleHardwareHealthHow to?Huawei Tech News Social MediaWhatsApp Facebook LinkedIn Pinterest Snapchat TikTOk Twitter AppsYoutube Photoshop Netflix Chrome Spotify Download Gmail ReviewsApps Reviews Gadget Reviews Game Reviews Laptop Reviews OthersInnovation 5G News Artificial Intelligence Car Tech Communication Computing Cybersecurity Robotics Space tech Web tools Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editor’s Pick TechSmartAerezona Developers Tech News Social MediaWhatsApp Facebook LinkedIn Pinterest Snapchat TikTOk Twitter AppsYoutube Photoshop Netflix Chrome Spotify Download Gmail ReviewsApps Reviews Gadget Reviews Game Reviews Laptop Reviews OthersInnovation 5G News Artificial Intelligence Car Tech Communication Computing Cybersecurity Robotics Space tech Web tools Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editor’s Pick Search here...Search HomeTech NewsSnapchat launches its own chatbot powered by ChatGPT Snapchat launches its own chatbot powered by ChatGPT Tech News Published on February 27, 2023 By Brian Adam FacebookTwitterPinterestWhatsApp snapchat 1.jpg - Advertisement - Snapchat launches’My AI‘, a chatbot that will run the latest version of OpenAI’s GPT technology, customized for Snapchat and currently available to Snapchat+ subscribers as an experimental feature. Making it clear that it is an AI that can make mistakes in its early stages, and asking users not to share secrets with it, Snapchat has said that it is rolling out an experimental chatbot feature that runs on OpenAI’s GPT technology for some users of its Snapchat photo messaging app. - Advertisement - The function will be available during this week with the aim of beginning to collect the first opinions, comments that will be used to improve the chatbot for future applications. In an official blog post, they make it clear that it will be limited to subscribed users on Snapchat+, though it will surely roll out to all Snapchat users in the coming months. Windows 11 promises lighter and more careful updates TAGS carefullighterpromisesupdateswindows The company intends to avoid any “biased, incorrect, harmful or misleading information” through the chatbot, which is why they make it clear that it is in test mode. We already know that it is possible to trick My AI into revealing unwanted information, so anything that comes out of My AI should stay in My AI, to prevent Fake News from spreading to the world. The company will save all conversations to review the experimental chatbot. Based on the review and feedback from users, the company will introduce more changes for improvement, that’s why they don’t want users to share secrets. - Advertisement - One more way to make AI even more present in our lives. - Advertisement - Latest articles Apple iPhone SE 4, for Kuo it will be a twin of the iPhone 14 complete with OLED Apple would have taken over the file iPhone SE 4. This was told... Entertainment Premieres for the week of February 27, 2023 on Netflix, Prime Video, HBO Max, Disney+ and Movistar Plus+ In this week that is shared in the middle of the month of February... More like this TechSmartHow smart tech is changing life By AEREZONA DEVELOPERS Office #31, 3rd Floor, Frahan Plaza G-11 Markaz, Islamabad. Contact: +923003308001 email: [email protected] FacebookInstagramTwitter Privacy Policy Cookies policy Terms & Conditions Disclaimer Contact Us Apps Digital Box PC Box Smart World Health Financial advices Techmarkup Tallaght TV probox © 2021 voonze.com BY AEREZONA DEVELOPERS.
Snapchat launches its own chatbot powered by ChatGPT
Snapchat launches chatbot powered ChatGPT How smart Technology changing lives Tech News Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editors Pick TechSmartHow smart tech changing life TechSmartAerezona Developers 5G NewsAmazonAndroidAndroid GamesAppleAppsApps ReviewsArtificial IntelligenceCar TechCelebritiesCommunicationCommunityComputingCryptoCybersecurityDedicated ServerDevelopersEconomyEditors PickEducationEgyptElectronicsEntertainmentEntertainmentEuropeFacebookFb StoriesFinanceFootballGadgetGadget ReviewsGadgetsGame ReviewsGamingGeneralGoogleHardwareHealthHow to?Huawei Tech News Social MediaWhatsApp Facebook LinkedIn Pinterest Snapchat TikTOk Twitter AppsYoutube Photoshop Netflix Chrome Spotify Download Gmail ReviewsApps Reviews Gadget Reviews Game Reviews Laptop Reviews OthersInnovation 5G News Artificial Intelligence Car Tech Communication Computing Cybersecurity Robotics Space tech Web tools Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editors Pick TechSmartAerezona Developers Tech News Social MediaWhatsApp Facebook LinkedIn Pinterest Snapchat TikTOk Twitter AppsYoutube Photoshop Netflix Chrome Spotify Download Gmail ReviewsApps Reviews Gadget Reviews Game Reviews Laptop Reviews OthersInnovation 5G News Artificial Intelligence Car Tech Communication Computing Cybersecurity Robotics Space tech Web tools Smart Gadgets Mobile Android iphone Phone Reviews Apps How to? Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editors Pick here... HomeTech NewsSnapchat launches chatbot powered ChatGPT Snapchat launches chatbot powered ChatGPT Tech News Published February 27, 2023 By Brian Adam FacebookTwitterPinterestWhatsApp snapchat 1.jpg Advertisement Snapchat launchesMy AI, chatbot run latest version OpenAIs GPT technology, customized Snapchat currently available Snapchat subscribers experimental feature. Making clear AI mistakes early stages, asking users share secrets it, Snapchat said rolling experimental chatbot feature runs OpenAIs GPT technology users Snapchat photo messaging app. Advertisement The function available week aim beginning collect opinions, comments improve chatbot future applications. In official blog post, clear limited subscribed users Snapchat, surely roll Snapchat users coming months. Windows 11 promises lighter careful updates TAGS carefullighterpromisesupdateswindows The company intends avoid biased, incorrect, harmful misleading information chatbot, clear test mode. We know possible trick My AI revealing unwanted information, comes My AI stay My AI, prevent Fake News spreading world. The company save conversations review experimental chatbot. Based review feedback users, company introduce changes improvement, thats dont want users share secrets. Advertisement One way AI present lives. Advertisement Latest articles Apple iPhone SE 4, Kuo twin iPhone 14 complete OLED Apple taken file iPhone SE 4. This told... Entertainment Premieres week February 27, 2023 Netflix, Prime Video, HBO Max, Disney Movistar Plus In week shared middle month February... More like TechSmartHow smart tech changing life By AEREZONA DEVELOPERS Office 31, 3rd Floor, Frahan Plaza G11 Markaz, Islamabad. : 923003308001 email: [emailprotected] FacebookInstagramTwitter policy Terms Conditions Disclaimer Us Apps Digital Box PC Box Smart World Health Financial advices Techmarkup Tallaght TV probox 2021 BY AEREZONA DEVELOPERS.
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https://voxbikol.com/uncategorized/102756/global-machine-learning-in-education-market-landscape-and-its-growth-prospect-by-2026-ibm-microsoft-google-amazon-cognizan-pearson-bridge-u-dreambox-learni/
2021-11-24T00:00:00
en
Global Machine Learning in Education Market Landscape and its Growth Prospect By 2026: , IBM, Microsoft, Google, Amazon, Cognizan, Pearson, Bridge-U, DreamBox Learning, Fishtree, Jellynote, Quantum Adaptive Learning, etc… – Vox Bikol
Global Machine Learning in Education Market Landscape and its Growth Prospect By 2026: , IBM, Microsoft, Google, Amazon, Cognizan, Pearson, Bridge-U, DreamBox Learning, Fishtree, Jellynote, Quantum Adaptive Learning, etc… – Vox Bikol Skip to content Menu 56th Lost and Censored Posters For County Delight Search for: Search Vox Bikol Daily Voxy Menu 56th Lost and Censored Posters For County Delight Search for: Search Flash News Global Polycarbonate Diols Market Report Analysis 2025: Ube Industries Ltd., Mitsubishi Chemical Corporation, Asahi Kasei Corporation, Covestro Ag, Tosoh Corporation, Daicel Corporation, Perstorp Group, Saudi Arabian Oil Co Industrial Model Design and Fabrication Market Competition Analysis 2021 With Top Manufacturers: IDEO, Frog Design, Designworks, ARTOP GROUP, Designaffairs, Ammunition Group Gamme Probe Device Market 2021 Global Trends, Share, Growth, Analysis, Opportunities and Forecast to 2027 Industrial Product Design Market Perspective (2021-2027): IDEO, Frog Design, Designworks, ARTOP GROUP, Designaffairs, Ammunition Group Medical Radiation Shielding Market Analysis On Growth Overview 2021 – 2028 With Top Performing Players | Marswell Group of Companies, ETS-Lindgren, RAY-BAR ENGINEERING CORP, Amray Radiation Protection, Globe Composite Solutions LLC, Gaven Industries Inc Health Technology Assessment in Pharma Market SWOT Analysis by Augmentation from 2021-2027 Coronavirus Real-time Detection Kits Market Report 2021 by Top Key Players: Thermo Fisher Scientific, Perkin Elmer, Inc., F. Hoffmann-La Roche Ltd., Luminex Corporation, Abbott Laboratories, Quidel Corporation, Becton, Dickinson Tourism and Water Sports Market 2021 Global Trends, Share, Growth, Analysis, Opportunities and Forecast to 2027 Public Interior Design Market Analyst’s Viewpoints/Conclusions 2021 with Top Players: Gensler, Gold Mantis, HOK, HBA, Perkins+Will, Jacobs Industrial Truck Market 2021 Trends, Share, Growth, Analysis, Opportunities and Forecast to 2027 Wednesday, November 24, 2021 Uncategorized Global Machine Learning in Education Market Landscape and its Growth Prospect By 2026: , IBM, Microsoft, Google, Amazon, Cognizan, Pearson, Bridge-U, DreamBox Learning, Fishtree, Jellynote, Quantum Adaptive Learning, etc… anita November 24, 2021 ” A recent report on the global Machine Learning in Education market employs a thorough and comprehensive technique of research and analysis. The research also includes variables that are likely to have a significant influence on market growth over the projected period. The global market research provides detailed insights into the global market by presenting all of the market’s important elements. Similarly, the report provides its customers with detailed historical data, as well as tables, statistics, and figures. This research provides market shares, broad trends, and development prospects for the global market by product type, application, major manufacturers, key regions, and countries. The research also provides an in-depth analysis of segment categorization in the Machine Learning in Education market by identifying product type, application, and geographical belts that help to plan market stability. Our professional forecasters have also paid close attention to a number of industry associations, product managers, and other individuals who might directly help and influence favorable and fair decision-making for a variety of audiences, including consulting firms and new rivals. In order to ensure long-term stability, the research study separates the section triggered with revenue creation in the worldwide market. Request a sample of this report @ https://www.orbisresearch.com/contacts/request-sample/4214811?utm_source=Rohit This study covers following key players: IBM Microsoft Google Amazon Cognizan Pearson Bridge-U DreamBox Learning Fishtree Jellynote Quantum Adaptive Learning The Global Machine Learning in Education market research report provides a general review of the market, including applications, definitions, classifications, and industrial chain structure. Expansion plans and tactics are presented, and manufacturing processes and cost patterns are also examined. The Global market research provides information on global markets and growth trends, major regions’ growth status, and competitive landscape analysis. Import and export consumption, income, cost, price, supply and demand data, and gross margins are also included in this report. This research report thoroughly examines the impact of the COVID-19 pandemic on the global Machine Learning in Education market, including an assessment of the impact on market size growth rate and supply chain analysis in various scenarios, as well as the measures to be taken by prominent companies in response to the COVID-19 outbreak. The report examines market dynamics based on important segments such as application spectrum, geographical geography, product type, and competitive hierarchy. Browse the complete report @ https://www.orbisresearch.com/reports/index/global-machine-learning-in-education-market-size-status-and-forecast-2020-2026?utm_source=Rohit Market segment by Type, the product can be split into Cloud-Based On-Premise Market segment by Application, split into Intelligent Tutoring Systems Virtual Facilitators Content Delivery Systems Interactive Websites Others The research provides a comprehensive geographical analysis of the industry, taking into account a variety of market factors. The major actors have been identified, and their methods have been understood. Similarly, the partnership degree may be examined, as well as the connected variables or scopes to merge. The report includes key regions such as APAC, Europe, and the Middle East and African markets. The report also forecasts the market during the projection period. Key Points Covered in the Report: The existence of market participants all over the world divides the global Machine Learning in Education market. Because all firms strive for large market shares, the competitive environment among players is extremely intense. To achieve a global competitive advantage and expand market share, businesses must constantly develop new goods while also differentiating them with a distinct and clear value offer. To increase their profits, the leading industry players in the global market are increasingly focusing on product creation via in-depth research as well as development operations. For Enquiry before buying report @ https://www.orbisresearch.com/contacts/enquiry-before-buying/4214811?utm_source=Rohit About Us: Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients. Contact Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155″ Post navigation Global Machine Learning in Manufacturing Market Share 2021 by Companies: , Intel, IBM, Siemens, GE, Google, Microsoft, Micron Technology, Amazon Web Services (AWS), Nvidia, Sight Machine, etc…Machine Learning in Communication Market Share 2021 With Top Manufacturers: , Amazon, IBM, Microsoft, Google, Nextiva, Nexmo, Twilio, Dialpad, Cisco, RingCentral, etc… Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Comment Name * Email * Website Save my name, email, and website in this browser for the next time I comment. Proudly powered by WordPress | Theme: TimesNews | By ThemeSpiral.com. Go Top
Global Machine Learning in Education Market Landscape and its Growth Prospect By 2026: , IBM, Microsoft, Google, Amazon, Cognizan, Pearson, Bridge-U, DreamBox Learning, Fishtree, Jellynote, Quantum Adaptive Learning, etc…
Global Machine Learning Education Market Landscape Growth Prospect By 2026: , IBM, Microsoft, Google, Amazon, Cognizan, Pearson, BridgeU, DreamBox Learning, Fishtree, Jellynote, Quantum Adaptive Learning, Vox Bikol Skip content Menu 56th Lost Censored Posters For County Delight for: Vox Bikol Daily Voxy Menu 56th Lost Censored Posters For County Delight for: Flash News Global Polycarbonate Diols Market Report Analysis 2025: Ube Industries Ltd., Mitsubishi Chemical Corporation, Asahi Kasei Corporation, Covestro Ag, Tosoh Corporation, Daicel Corporation, Perstorp Group, Saudi Arabian Oil Co Industrial Model Design Fabrication Market Competition Analysis 2021 With Top Manufacturers: IDEO, Frog Design, Designworks, ARTOP GROUP, Designaffairs, Ammunition Group Gamme Probe Device Market 2021 Global Trends, Share, Growth, Analysis, Opportunities Forecast 2027 Industrial Product Design Market Perspective 20212027: IDEO, Frog Design, Designworks, ARTOP GROUP, Designaffairs, Ammunition Group Medical Radiation Shielding Market Analysis On Growth Overview 2021 2028 With Top Performing Players Marswell Group Companies, ETSLindgren, RAYBAR ENGINEERING CORP, Amray Radiation Protection, Globe Composite Solutions LLC, Gaven Industries Health Technology Assessment Pharma Market SWOT Analysis Augmentation 20212027 Coronavirus Realtime Detection Kits Market Report 2021 Top Key Players: Thermo Fisher Scientific, Perkin Elmer, ., F. HoffmannLa Roche Ltd., Luminex Corporation, Abbott Laboratories, Quidel Corporation, Becton, Dickinson Tourism Water Sports Market 2021 Global Trends, Share, Growth, Analysis, Opportunities Forecast 2027 Public Interior Design Market Analysts ViewpointsConclusions 2021 Top Players: Gensler, Gold Mantis, HOK, HBA, PerkinsWill, Jacobs Industrial TruckMarket 2021 Trends, Share, Growth, Analysis, Opportunities Forecast 2027 Wednesday, November 24, 2021 Uncategorized Global Machine Learning Education Market Landscape Growth Prospect By 2026: , IBM, Microsoft, Google, Amazon, Cognizan, Pearson, BridgeU, DreamBox Learning, Fishtree, Jellynote, Quantum Adaptive Learning, anita November 24, 2021 A recent report global Machine Learning Education market employs thorough comprehensive technique research analysis. The research includes variables likely significant influence market growth projected period. The global market research provides detailed insights global market presenting markets important elements. Similarly, report provides customers detailed historical data, tables, statistics, figures. This research provides market shares, broad trends, development prospects global market product type, application, major manufacturers, key regions, countries. The research provides indepth analysis segment categorization Machine Learning Education market identifying product type, application, geographical belts help plan market stability. Our professional forecasters paid close attention number industry associations, product managers, individuals directly help influence favorable fair decisionmaking variety audiences, including consulting firms new rivals. In order ensure longterm stability, research study separates section triggered revenue creation worldwide market. Request sample report @ This study covers following key players: IBM Microsoft Google Amazon Cognizan Pearson BridgeU DreamBox Learning Fishtree Jellynote Quantum Adaptive Learning The Global Machine Learning Education market research report provides general review market, including applications, definitions, classifications, industrial chain structure. Expansion plans tactics presented, manufacturing processes cost patterns examined. The Global market research provides information global markets growth trends, major regions growth status, competitive landscape analysis. Import export consumption, income, cost, price, supply demand data, gross margins included report. This research report thoroughly examines impact COVID19 pandemic global Machine Learning Education market, including assessment impact market size growth rate supply chain analysis scenarios, measures taken prominent companies response COVID19 outbreak. The report examines market dynamics based important segments application spectrum, geographical geography, product type, competitive hierarchy. Browse complete report @ Market segment Type, product split CloudBased OnPremise Market segment Application, split Intelligent Tutoring Systems Virtual Facilitators Content Delivery Systems Interactive Websites Others The research provides comprehensive geographical analysis industry, taking account variety market factors. The major actors identified, methods understood. Similarly, partnership degree examined, connected variables scopes merge. The report includes key regions APAC, Europe, Middle East African markets. The report forecasts market projection period. Key Points Covered Report: The existence market participants world divides global Machine Learning Education market. Because firms strive large market shares, competitive environment players extremely intense. To achieve global competitive advantage expand market share, businesses constantly develop new goods differentiating distinct clear value offer. To increase profits, leading industry players global market increasingly focusing product creation indepth research development operations. For Enquiry buying report @ : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Global Machine Learning Manufacturing Market Share 2021 Companies: , Intel, IBM, Siemens, GE, Google, Microsoft, Micron Technology, Amazon Web Services AWS, Nvidia, Sight Machine, etcMachine Learning Communication Market Share 2021 With Top Manufacturers: , Amazon, IBM, Microsoft, Google, Nextiva, Nexmo, Twilio, Dialpad, Cisco, RingCentral, Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Proudly powered WordPress Theme: TimesNews By . Go Top
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https://wgno.com/hill-politics/schumer-unveils-groundwork-for-ai-regulation/
2023-04-13T00:00:00
en
Schumer unveils groundwork for AI regulation | WGNO
Schumer unveils groundwork for AI regulation | WGNO Skip to content WGNO New Orleans 69° Sign Up New Orleans 69° Sponsored By Toggle Menu Open Navigation Close Navigation Search Please enter a search term. Primary Menu News 🍓Ponchatoula Strawberry Festival 2023🍓 Crawfish Price Index Local News Louisiana US & World News Good Morning New Orleans Your Local Election Headquarters Moving New Orleans Forward Crime Wheel of Justice Politics from The Hill Washington DC Bureau Viral News Dr. Rachel Destination Louisiane Press Releases Top Stories Latest festival feature creates safe space for people … Video Top Stories Police: Louisiana man crashes car into police headquarters, … 1 hour ago Where Y’at this Weekend? 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Majority Leader Charles Schumer (D-N.Y.) addresses reporters following the weekly policy luncheon on Wednesday, March 22, 2023. Majority Leader Charles Schumer (D-N.Y.) addresses reporters following the weekly policy luncheon on Wednesday, March 22, 2023. Read Less Politics from The Hill Schumer unveils groundwork for AI regulation by: Rebecca Klar, The Hill Posted: Apr 13, 2023 / 12:01 PM CDT Updated: Apr 13, 2023 / 12:29 PM CDT Majority Leader Charles Schumer (D-N.Y.) addresses reporters following the weekly policy luncheon on Wednesday, March 22, 2023. Majority Leader Charles Schumer (D-N.Y.) addresses reporters following the weekly policy luncheon on Wednesday, March 22, 2023.  Read Less by: Rebecca Klar, The Hill Posted: Apr 13, 2023 / 12:01 PM CDT Updated: Apr 13, 2023 / 12:29 PM CDT SHARE Senate Majority Leader Chuck Schumer (D-N.Y.) unveiled a framework for regulation of the booming artificial intelligence (AI) industry on Thursday.  Schumer’s framework aims to increase transparency and accountability of AI technologies, on the heels of warnings from experts about the rise in AI following the popularity of the ChatGPT chatbot.  “Given the AI industry’s consequential and fast moving impact on society, national security, and the global economy, I’ve worked with some of the leading AI practitioners and thought leaders to create a framework that outlines a new regulatory regime that would prevent potentially catastrophic damage to our country while simultaneously making sure the U.S. advances and leads in this transformative technology,” Schumer said in a statement.  The framework would require companies to allow independent experts to review and test AI technologies ahead of public releases and updates. The disclosure will include four guardrails: Who, Where, How, and Protect, according to Schumer’s announcement.  The guardrails seek to inform users and give the government data to regulate, as well as align systems with American values. Senate Majority Leader Chuck Schumer (D-N.Y.) speaks during a press event to discuss the the Richard L. Trumka Protecting the Right to Organize Act at the Capitol on Feb. 28. Schumer will work with stakeholders in academia, advocacy organizations, industry and the government in coming weeks to refine the proposal, according to the announcement.  As majority leader, Schumer has control over the legislative calendar giving him a better shot at bringing his proposal to the floor, although it would still be subject to meeting the 60-vote threshold to pass.  The senator’s proposal follows other voluntary guidance on AI issued by the federal government.  The National Institute of Standards and Technology released an AI Risk Management Framework in January that aimed to improve the ability of companies to incorporate trustworthiness into the design, development and use of AI products and services.  The White House released an AI Bill of Rights in October that also included a voluntary framework.  Close Modal Suggest a Correction Your name(required) Your email(required) Report a typo or grammatical error(required) Submit Δ Suggest a Correction Copyright 2023 Nexstar Media Inc. 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Schumer unveils groundwork for AI regulation
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Majority Leader Charles Schumer DN.Y. addresses reporters following weekly policy luncheon Wednesday, March 22, 2023. Majority Leader Charles Schumer DN.Y. addresses reporters following weekly policy luncheon Wednesday, March 22, 2023.Read Less Politics The Hill Schumer unveils groundwork AI regulation by: Rebecca Klar, The Hill Posted: Apr 13, 2023 12:01 PM CDT Updated: Apr 13, 2023 12:29 PM CDT Majority Leader Charles Schumer DN.Y. addresses reporters following weekly policy luncheon Wednesday, March 22, 2023. Majority Leader Charles Schumer DN.Y. addresses reporters following weekly policy luncheon Wednesday, March 22, 2023. Read Less by: Rebecca Klar, The Hill Posted: Apr 13, 2023 12:01 PM CDT Updated: Apr 13, 2023 12:29 PM CDT SHARE Senate Majority Leader Chuck Schumer DN.Y. unveiled framework regulation booming artificial intelligence AI industry Thursday. Schumers framework aims increase transparency accountability AI technologies, heels warnings experts rise AI following popularity ChatGPT chatbot. Given AI industrys consequential fast moving impact society, national security, global economy, Ive worked leading AI practitioners thought leaders create framework outlines new regulatory regime prevent potentially catastrophic damage country simultaneously making sure U.S. advances leads transformative technology, Schumer said statement. The framework require companies allow independent experts review test AI technologies ahead public releases updates. The disclosure include guardrails: Who, Where, How, Protect, according Schumers announcement. The guardrails seek inform users government data regulate, align systems American values. Senate Majority Leader Chuck Schumer DN.Y. speaks press event discuss Richard L. Trumka Protecting Right Organize Act Capitol Feb. 28. Schumer work stakeholders academia, advocacy organizations, industry government coming weeks refine proposal, according announcement. As majority leader, Schumer control legislative calendar giving better shot bringing proposal floor, subject meeting 60vote threshold pass. The senators proposal follows voluntary guidance AI issued federal government. The National Institute Standards Technology released AI Risk Management Framework January aimed improve ability companies incorporate trustworthiness design, development use AI products services. The White House released AI Bill Rights October included voluntary framework. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. Close Thanks signing Watch inbox. 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https://wgno.com/us-world-news/ap-us-news/ap-pastors-view-sermons-written-by-chatgpt-will-have-no-soul/
2023-02-15T00:00:00
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Pastors’ view: Sermons written by ChatGPT will have no soul | WGNO
Pastors’ view: Sermons written by ChatGPT will have no soul | WGNO Skip to content WGNO New Orleans 76° Sign Up New Orleans 76° Sponsored By Toggle Menu Open Navigation Close Navigation Search Please enter a search term. 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Rabbi Joshua Franklin stands inside the sanctuary at the Jewish Center of the Hamptons in East Hampton, New York on Feb. 10, 2023. Franklin expermented writing… Read More Rabbi Joshua Franklin stands inside the sanctuary at the Jewish Center of the Hamptons in East Hampton, New York on Feb. 10, 2023. Franklin expermented writing a sermon for his congregation using artificial intelligence software Chat GPT, and concluded that AI can’t replace the work of human faith leaders. (AP Photo/Robert Bumsted) Read Less AP U.S. News Pastors’ view: Sermons written by ChatGPT will have no soul by: DAVID CRARY, Associated Press Posted: Feb 15, 2023 / 07:32 AM CST Updated: Feb 15, 2023 / 08:18 AM CST Rabbi Joshua Franklin stands inside the sanctuary at the Jewish Center of the Hamptons in East Hampton, New York on Feb. 10, 2023. Franklin expermented writing… Read More Rabbi Joshua Franklin stands inside the sanctuary at the Jewish Center of the Hamptons in East Hampton, New York on Feb. 10, 2023. Franklin expermented writing a sermon for his congregation using artificial intelligence software Chat GPT, and concluded that AI can’t replace the work of human faith leaders. (AP Photo/Robert Bumsted)  Read Less by: DAVID CRARY, Associated Press Posted: Feb 15, 2023 / 07:32 AM CST Updated: Feb 15, 2023 / 08:18 AM CST SHARE NEW YORK (AP) — Among sermon writers, there is fascination – and unease – over the fast-expanding abilities of artificial-intelligence chatbots. For now, the evolving consensus among clergy is this: Yes, they can write a passably competent sermon. But no, they can’t replicate the passion of actual preaching. “It lacks a soul – I don’t know how else to say it,” said Hershael York, a pastor in Kentucky who also is dean of the school of theology and a professor of Christian preaching at The Southern Baptist Theological Seminary. Sermons are meant to be the core of a worship service — and often are faith leaders’ best weekly shot at grabbing their congregation’s attention to impart theological and moral guidance. Lazy pastors might be tempted to use AI for this purpose, York said, “but not the great shepherds, the ones who love preaching, who love their people.” A rabbi in New York, Joshua Franklin, recently told his congregation at the Jewish Center of the Hamptons that he was going to deliver a plagiarized sermon – dealing with such issues as trust, vulnerability and forgiveness. Upon finishing, he asked the worshippers to guess who wrote it. When they appeared stumped, he revealed that the writer was ChatGPT, responding to his request to write a 1,000-word sermon related to that week’s lesson from the Torah. “Now, you’re clapping — I’m deathly afraid,” Franklin said when several congregants applauded. “I thought truck drivers were going to go long before the rabbi, in terms of losing our positions to artificial intelligence.” “ChatGPT might be really great at sounding intelligent, but the question is, can it be empathetic? And that, not yet at least, it can’t,” added Franklin. He said AI has yet to develop compassion and love, and is unable to build community and relationships. “Those are the things that bring us together,” the rabbi concluded. Rachael Keefe, pastor of Living Table United Church of Christ in Minneapolis, undertook an experiment similar to Franklin’s. She posted a brief essay in her online Pastoral Notes in January, addressing how to attend to one’s mental health amid the stresses of the holiday season. It was pleasant, but somewhat bland, and at the end, Keefe revealed that it was written by ChatGPT, not by herself. “While the facts are correct, there’s something deeper missing,” she wrote. “AI cannot understand community and inclusivity and how important these things are in creating church.” Several congregation members responded. “It’s not terrible, but yes, I agree. Rather generic and a little bit eerie,” wrote Douglas Federhart. “I like what you write a lot more. It comes from an actually living being, with a great brain and a compassionate, beating heart.” Todd Brewer, a New Testament scholar and managing editor of the Christian website Mockingbird, wrote in December about an experiment of his own — asking ChatGPT to write a Christmas sermon for him. He was specific, requesting a sermon “based upon Luke’s birth narrative, with quotations from Karl Barth, Martin Luther, Irenaeus of Lyon, and Barack Obama.” Brewer wrote that he was “not prepared” when ChatGPT responded with a creation that met his criteria and “is better than several Christmas sermons I’ve heard over the years.” “The A.I. even seems to understand what makes the birth of Jesus genuinely good news,” Brewer added. Yet the ChatGPT sermon “lacks any human warmth,” he wrote. “The preaching of Artificial Intelligence can’t convincingly sympathize with the human plight.” In Brentwood, Tennessee, Mike Glenn, senior pastor for 32 years at Brentwood Baptist Church, wrote a blog post in January after a computer-savvy assistant joked that Glenn could be replaced by an AI machine. “I’m not buying it,” Glenn wrote. “AI will never be able to preach a decent sermon. Why? Because the gospel is more than words. It’s the evidence of a changed life.” “When listening to a sermon, what a congregation is looking for is evidence that the pastor has been with Jesus,” Glenn added. “AI will always have to – literally – take someone else’s words for it… it won’t ever be a sermon that will convince anyone to come and follow Jesus.” Also weighing in with an online essay was the Rev. Russell Moore, formerly head of the Southern Baptist Convention’s public policy division and now editor-in-chief of the evangelical magazine Christianity Today. He confided to his readers that his first sermon, delivered at age 12, was a well-intentioned mess. “Preaching needs someone who knows the text and can convey that to the people — but it’s not just about transmitting information,” Moore wrote. “When we listen to the Word preached, we are hearing not just a word about God but a word from God.” “Such life-altering news needs to be delivered by a human, in person,” he added. “A chatbot can research. A chatbot can write. Perhaps a chatbot can even orate. But a chatbot can’t preach.” The Southern Baptist department formerly led by Moore – the Ethics and Religious Liberty Commission — has been monitoring artificial-intelligence developments for several years under the direction of Jason Thacker, its chair of research in technology ethics. He shares the view that “wise, virtuous pastors” won’t let new technology deter them from personal immersion in sermon-writing. “But I also can see it being used in unhelpful or unethical ways,” he added. “Some young pastors may become overly reliant on these machines … and not see the imperfections of these tools,” Thacker told The Associated Press. “Many pastors are overworked, exhausted, filled with anxiety… One can see why a pastor might say, ‘I can’t do everything I’m supposed to do,’ and start passing ideas off as their own.” Hershael York, the Kentucky pastor and professor, said some of the greatest sermons contain elements of anguish. “Artificial intelligence can imitate that to some level. But I don’t think it can ever give any kind of a sense of suffering, grief, sorrow, the same way that a human being can,” he said. “It comes from deep within the heart and the soul — that’s what the great preachers have, and I don’t think you can get that by proxy.” ___ Associated Press religion coverage receives support through the AP’s collaboration with The Conversation US, with funding from Lilly Endowment Inc. The AP is solely responsible for this content. Close Modal Suggest a Correction Your name(required) Your email(required) Report a typo or grammatical error(required) Submit Δ Suggest a Correction Copyright 2023 Nexstar Media Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed. 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Pastors’ view: Sermons written by ChatGPT will have no soul
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Rabbi Joshua Franklin stands inside sanctuary Jewish Center Hamptons East Hampton, New York Feb. 10, 2023. Franklin expermented writing Read More Rabbi Joshua Franklin stands inside sanctuary Jewish Center Hamptons East Hampton, New York Feb. 10, 2023. Franklin expermented writing sermon congregation artificial intelligence software Chat GPT, concluded AI replace work human faith leaders. AP PhotoRobert BumstedRead Less AP U.S. News Pastors view: Sermons written ChatGPT soul by: DAVID CRARY, Associated Press Posted: Feb 15, 2023 07:32 AM CST Updated: Feb 15, 2023 08:18 AM CST Rabbi Joshua Franklin stands inside sanctuary Jewish Center Hamptons East Hampton, New York Feb. 10, 2023. Franklin expermented writing Read More Rabbi Joshua Franklin stands inside sanctuary Jewish Center Hamptons East Hampton, New York Feb. 10, 2023. Franklin expermented writing sermon congregation artificial intelligence software Chat GPT, concluded AI replace work human faith leaders. AP PhotoRobert Bumsted Read Less by: DAVID CRARY, Associated Press Posted: Feb 15, 2023 07:32 AM CST Updated: Feb 15, 2023 08:18 AM CST SHARE NEW YORK AP Among sermon writers, fascination unease fastexpanding abilities artificialintelligence chatbots. For now, evolving consensus clergy this: Yes, write passably competent sermon. But no, replicate passion actual preaching. It lacks soul I dont know it, said Hershael York, pastor Kentucky dean school theology professor Christian preaching The Southern Baptist Theological Seminary. Sermons meant core worship service faith leaders best weekly shot grabbing congregations attention impart theological moral guidance. Lazy pastors tempted use AI purpose, York said, great shepherds, ones love preaching, love people. A rabbi New York, Joshua Franklin, recently told congregation Jewish Center Hamptons going deliver plagiarized sermon dealing issues trust, vulnerability forgiveness. Upon finishing, asked worshippers guess wrote it. When appeared stumped, revealed writer ChatGPT, responding request write 1,000word sermon related weeks lesson Torah. Now, youre clapping Im deathly afraid, Franklin said congregants applauded. I thought truck drivers going long rabbi, terms losing positions artificial intelligence. ChatGPT great sounding intelligent, question is, empathetic? And that, least, cant, added Franklin. He said AI develop compassion love, unable build community relationships. Those things bring together, rabbi concluded. Rachael Keefe, pastor Living Table United Church Christ Minneapolis, undertook experiment similar Franklins. She posted brief essay online Pastoral Notes January, addressing attend ones mental health amid stresses holiday season. It pleasant, somewhat bland, end, Keefe revealed written ChatGPT, herself. While facts correct, theres deeper missing, wrote. AI understand community inclusivity important things creating church. Several congregation members responded. Its terrible, yes, I agree. Rather generic little bit eerie, wrote Douglas Federhart. I like write lot more. It comes actually living being, great brain compassionate, beating heart. Todd Brewer, New Testament scholar managing editor Christian website Mockingbird, wrote December experiment asking ChatGPT write Christmas sermon him. He specific, requesting sermon based Lukes birth narrative, quotations Karl Barth, Martin Luther, Irenaeus Lyon, Barack Obama. Brewer wrote prepared ChatGPT responded creation met criteria better Christmas sermons Ive heard years. The A.I. understand makes birth Jesus genuinely good news, Brewer added. Yet ChatGPT sermon lacks human warmth, wrote. The preaching Artificial Intelligence convincingly sympathize human plight. In Brentwood, Tennessee, Mike Glenn, senior pastor 32 years Brentwood Baptist Church, wrote blog post January computersavvy assistant joked Glenn replaced AI machine. Im buying it, Glenn wrote. AI able preach decent sermon. Why? Because gospel words. Its evidence changed life. When listening sermon, congregation looking evidence pastor Jesus, Glenn added. AI literally elses words wont sermon convince come follow Jesus. Also weighing online essay Rev. Russell Moore, head Southern Baptist Conventions public policy division editorinchief evangelical magazine Christianity Today. He confided readers sermon, delivered age 12, wellintentioned mess. Preaching needs knows text convey people transmitting information, Moore wrote. When listen Word preached, hearing word God word God. Such lifealtering news needs delivered human, person, added. A chatbot research. A chatbot write. Perhaps chatbot orate. But chatbot preach. The Southern Baptist department led Moore Ethics Religious Liberty Commission monitoring artificialintelligence developments years direction Jason Thacker, chair research technology ethics. He shares view wise, virtuous pastors wont let new technology deter personal immersion sermonwriting. But I unhelpful unethical ways, added. Some young pastors overly reliant machines imperfections tools, Thacker told The Associated Press. Many pastors overworked, exhausted, filled anxiety One pastor say, I Im supposed do, start passing ideas own. Hershael York, Kentucky pastor professor, said greatest sermons contain elements anguish. Artificial intelligence imitate level. But I dont think kind sense suffering, grief, sorrow, way human can, said. It comes deep heart soul thats great preachers have, I dont think proxy. ___ Associated Press religion coverage receives support APs collaboration The Conversation US, funding Lilly Endowment . The AP solely responsible content. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. 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"lock", "campaign", "presser", "hours", "ago", "st", "tammany", "parish", "president", "seek", "reelection", "hours", "ago", "mayor", "cantrell", "speaks", "black", "history", "month", "series", "hours", "ago", "men", "dead", "harvey", "home", "apparent", "hours", "ago", "fueled", "wellness", "nutrition", "molly", "alcohol", "hours", "ago", "man", "shot", "new", "orleans", "east", "road", "rage", "incident", "hours", "ago", "nsyncs", "joey", "fatone", "degrees", "jeff", "timmons", "talking", "hours", "ago", "oscar", "mayer", "wienermobile", "hours", "ago", "fake", "skin", "fools", "mosquitos", "research", "tulane", "hours", "ago", "silent", "killer", "new", "orleans", "hospitality", "industry", "employees", "hours", "ago", "women", "missing", "october", "january", "hours", "ago", "videos", "wgno", "actress", "raquel", "welch", "dead", "children", "priority", "vehicles", "nopds", "lock", "campaign", "promote", "gun", "safety", "curtis", "johnson", "named", "head", "coach", "usfls", "houston", "new", "orleans", "saints", "officially", "add", "assistant", "coaches", "st", "tammany", "parish", "president", "seek", "reelection", "mayor", "cantrell", "speaks", "black", "history", "month", "series", "nationwide", "warrant", "issued", "mtv", "reality", "alum", "wgno", "forecast", "current", "cloudy", "tonight", "partly", "cloudy", "precip", "percnt", "tomorrow", "thunderstorms", "precip", "percnt", "moving", "new", "orleans", "forward", "wgno", "public", "file", "wnol", "public", "file", "eeo", "report", "fcc", "applications", "news", "app", "ios", "app", "android", "app", "google", "play", "stay", "connected", "terms", "use", "covers", "public", "file", "assistance", "hill", "newsnation", "bestreviews", "content", "licensing", "nexstar", "digital", "journalistic", "integrity", "sell", "share", "personal", "information", "nexstar", "media", "close", "ad" ]
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https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/
2023-02-21T00:00:00
en
What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings
What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings ≡ Stephen Wolfram Writings ABOUT WRITINGS PUBLICATIONS MEDIA SCRAPBOOK CONTACT Recent | Categories Artificial IntelligenceBig PictureCompanies and BusinessComputational ScienceComputational ThinkingData ScienceEducationFuture PerspectivesHistorical PerspectivesLanguage and CommunicationLife and TimesLife ScienceMathematicaMathematicsNew Kind of ScienceNew TechnologyPersonal AnalyticsPhilosophyPhysicsRuliologySoftware DesignWolfram|AlphaWolfram|OneWolfram LanguageOther | × Contents Top It's Just Adding One Word at a Time Where Do the Probabilities Come From? What Is a Model? Models for Human-Like Tasks Neural Nets Machine Learning, and the Training of Neural Nets The Practice and Lore of Neural Net Training "Surely a Network That's Big Enough Can Do Anything!" The Concept of Embeddings Inside ChatGPT The Training of ChatGPT Beyond Basic Training What Really Lets ChatGPT Work? Meaning Space and Semantic Laws of Motion Semantic Grammar and the Power of Computational Language So ... What Is ChatGPT Doing, and Why Does It Work? Thanks Additional Resources What Is ChatGPT Doing … and Why Does It Work? What Is ChatGPT Doing … and Why Does It Work? February 14, 2023 See also: “Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT” »A discussion about the history of neural nets » It’s Just Adding One Word at a Time That ChatGPT can automatically generate something that reads even superficially like human-written text is remarkable, and unexpected. But how does it do it? And why does it work? My purpose here is to give a rough outline of what’s going on inside ChatGPT—and then to explore why it is that it can do so well in producing what we might consider to be meaningful text. I should say at the outset that I’m going to focus on the big picture of what’s going on—and while I’ll mention some engineering details, I won’t get deeply into them. (And the essence of what I’ll say applies just as well to other current “large language models” [LLMs] as to ChatGPT.) The first thing to explain is that what ChatGPT is always fundamentally trying to do is to produce a “reasonable continuation” of whatever text it’s got so far, where by “reasonable” we mean “what one might expect someone to write after seeing what people have written on billions of webpages, etc.” So let’s say we’ve got the text “The best thing about AI is its ability to”. Imagine scanning billions of pages of human-written text (say on the web and in digitized books) and finding all instances of this text—then seeing what word comes next what fraction of the time. ChatGPT effectively does something like this, except that (as I’ll explain) it doesn’t look at literal text; it looks for things that in a certain sense “match in meaning”. But the end result is that it produces a ranked list of words that might follow, together with “probabilities”: And the remarkable thing is that when ChatGPT does something like write an essay what it’s essentially doing is just asking over and over again “given the text so far, what should the next word be?”—and each time adding a word. (More precisely, as I’ll explain, it’s adding a “token”, which could be just a part of a word, which is why it can sometimes “make up new words”.) But, OK, at each step it gets a list of words with probabilities. But which one should it actually pick to add to the essay (or whatever) that it’s writing? One might think it should be the “highest-ranked” word (i.e. the one to which the highest “probability” was assigned). But this is where a bit of voodoo begins to creep in. Because for some reason—that maybe one day we’ll have a scientific-style understanding of—if we always pick the highest-ranked word, we’ll typically get a very “flat” essay, that never seems to “show any creativity” (and even sometimes repeats word for word). But if sometimes (at random) we pick lower-ranked words, we get a “more interesting” essay. The fact that there’s randomness here means that if we use the same prompt multiple times, we’re likely to get different essays each time. And, in keeping with the idea of voodoo, there’s a particular so-called “temperature” parameter that determines how often lower-ranked words will be used, and for essay generation, it turns out that a “temperature” of 0.8 seems best. (It’s worth emphasizing that there’s no “theory” being used here; it’s just a matter of what’s been found to work in practice. And for example the concept of “temperature” is there because exponential distributions familiar from statistical physics happen to be being used, but there’s no “physical” connection—at least so far as we know.) Before we go on I should explain that for purposes of exposition I’m mostly not going to use the full system that’s in ChatGPT; instead I’ll usually work with a simpler GPT-2 system, which has the nice feature that it’s small enough to be able to run on a standard desktop computer. And so for essentially everything I show I’ll be able to include explicit Wolfram Language code that you can immediately run on your computer. (Click any picture here to copy the code behind it.) For example, here’s how to get the table of probabilities above. First, we have to retrieve the underlying “language model” neural net: Later on, we’ll look inside this neural net, and talk about how it works. But for now we can just apply this “net model” as a black box to our text so far, and ask for the top 5 words by probability that the model says should follow: This takes that result and makes it into an explicit formatted “dataset”: Here’s what happens if one repeatedly “applies the model”—at each step adding the word that has the top probability (specified in this code as the “decision” from the model): What happens if one goes on longer? In this (“zero temperature”) case what comes out soon gets rather confused and repetitive: But what if instead of always picking the “top” word one sometimes randomly picks “non-top” words (with the “randomness” corresponding to “temperature” 0.8)? Again one can build up text: And every time one does this, different random choices will be made, and the text will be different—as in these 5 examples: It’s worth pointing out that even at the first step there are a lot of possible “next words” to choose from (at temperature 0.8), though their probabilities fall off quite quickly (and, yes, the straight line on this log-log plot corresponds to an n–1 “power-law” decay that’s very characteristic of the general statistics of language): So what happens if one goes on longer? Here’s a random example. It’s better than the top-word (zero temperature) case, but still at best a bit weird: This was done with the simplest GPT-2 model (from 2019). With the newer and bigger GPT-3 models the results are better. Here’s the top-word (zero temperature) text produced with the same “prompt”, but with the biggest GPT-3 model: And here’s a random example at “temperature 0.8”: Where Do the Probabilities Come From? OK, so ChatGPT always picks its next word based on probabilities. But where do those probabilities come from? Let’s start with a simpler problem. Let’s consider generating English text one letter (rather than word) at a time. How can we work out what the probability for each letter should be? A very minimal thing we could do is just take a sample of English text, and calculate how often different letters occur in it. So, for example, this counts letters in the Wikipedia article on “cats”: And this does the same thing for “dogs”: The results are similar, but not the same (“o” is no doubt more common in the “dogs” article because, after all, it occurs in the word “dog” itself). Still, if we take a large enough sample of English text we can expect to eventually get at least fairly consistent results: Here’s a sample of what we get if we just generate a sequence of letters with these probabilities: We can break this into “words” by adding in spaces as if they were letters with a certain probability: We can do a slightly better job of making “words” by forcing the distribution of “word lengths” to agree with what it is in English: We didn’t happen to get any “actual words” here, but the results are looking slightly better. To go further, though, we need to do more than just pick each letter separately at random. And, for example, we know that if we have a “q”, the next letter basically has to be “u”. Here’s a plot of the probabilities for letters on their own: And here’s a plot that shows the probabilities of pairs of letters (“2-grams”) in typical English text. The possible first letters are shown across the page, the second letters down the page: And we see here, for example, that the “q” column is blank (zero probability) except on the “u” row. OK, so now instead of generating our “words” a single letter at a time, let’s generate them looking at two letters at a time, using these “2-gram” probabilities. Here’s a sample of the result—which happens to include a few “actual words”: With sufficiently much English text we can get pretty good estimates not just for probabilities of single letters or pairs of letters (2-grams), but also for longer runs of letters. And if we generate “random words” with progressively longer n-gram probabilities, we see that they get progressively “more realistic”: But let’s now assume—more or less as ChatGPT does—that we’re dealing with whole words, not letters. There are about 40,000 reasonably commonly used words in English. And by looking at a large corpus of English text (say a few million books, with altogether a few hundred billion words), we can get an estimate of how common each word is. And using this we can start generating “sentences”, in which each word is independently picked at random, with the same probability that it appears in the corpus. Here’s a sample of what we get: Not surprisingly, this is nonsense. So how can we do better? Just like with letters, we can start taking into account not just probabilities for single words but probabilities for pairs or longer n-grams of words. Doing this for pairs, here are 5 examples of what we get, in all cases starting from the word “cat”: It’s getting slightly more “sensible looking”. And we might imagine that if we were able to use sufficiently long n-grams we’d basically “get a ChatGPT”—in the sense that we’d get something that would generate essay-length sequences of words with the “correct overall essay probabilities”. But here’s the problem: there just isn’t even close to enough English text that’s ever been written to be able to deduce those probabilities. In a crawl of the web there might be a few hundred billion words; in books that have been digitized there might be another hundred billion words. But with 40,000 common words, even the number of possible 2-grams is already 1.6 billion—and the number of possible 3-grams is 60 trillion. So there’s no way we can estimate the probabilities even for all of these from text that’s out there. And by the time we get to “essay fragments” of 20 words, the number of possibilities is larger than the number of particles in the universe, so in a sense they could never all be written down. So what can we do? The big idea is to make a model that lets us estimate the probabilities with which sequences should occur—even though we’ve never explicitly seen those sequences in the corpus of text we’ve looked at. And at the core of ChatGPT is precisely a so-called “large language model” (LLM) that’s been built to do a good job of estimating those probabilities. What Is a Model? Say you want to know (as Galileo did back in the late 1500s) how long it’s going to take a cannon ball dropped from each floor of the Tower of Pisa to hit the ground. Well, you could just measure it in each case and make a table of the results. Or you could do what is the essence of theoretical science: make a model that gives some kind of procedure for computing the answer rather than just measuring and remembering each case. Let’s imagine we have (somewhat idealized) data for how long the cannon ball takes to fall from various floors: How do we figure out how long it’s going to take to fall from a floor we don’t explicitly have data about? In this particular case, we can use known laws of physics to work it out. But say all we’ve got is the data, and we don’t know what underlying laws govern it. Then we might make a mathematical guess, like that perhaps we should use a straight line as a model: We could pick different straight lines. But this is the one that’s on average closest to the data we’re given. And from this straight line we can estimate the time to fall for any floor. How did we know to try using a straight line here? At some level we didn’t. It’s just something that’s mathematically simple, and we’re used to the fact that lots of data we measure turns out to be well fit by mathematically simple things. We could try something mathematically more complicated—say a + b x + c x2—and then in this case we do better: Things can go quite wrong, though. Like here’s the best we can do with a + b/x + c sin(x): It is worth understanding that there’s never a “model-less model”. Any model you use has some particular underlying structure—then a certain set of “knobs you can turn” (i.e. parameters you can set) to fit your data. And in the case of ChatGPT, lots of such “knobs” are used—actually, 175 billion of them. But the remarkable thing is that the underlying structure of ChatGPT—with “just” that many parameters—is sufficient to make a model that computes next-word probabilities “well enough” to give us reasonable essay-length pieces of text. Models for Human-Like Tasks The example we gave above involves making a model for numerical data that essentially comes from simple physics—where we’ve known for several centuries that “simple mathematics applies”. But for ChatGPT we have to make a model of human-language text of the kind produced by a human brain. And for something like that we don’t (at least yet) have anything like “simple mathematics”. So what might a model of it be like? Before we talk about language, let’s talk about another human-like task: recognizing images. And as a simple example of this, let’s consider images of digits (and, yes, this is a classic machine learning example): One thing we could do is get a bunch of sample images for each digit: Then to find out if an image we’re given as input corresponds to a particular digit we could just do an explicit pixel-by-pixel comparison with the samples we have. But as humans we certainly seem to do something better—because we can still recognize digits, even when they’re for example handwritten, and have all sorts of modifications and distortions: When we made a model for our numerical data above, we were able to take a numerical value x that we were given, and just compute a + b x for particular a and b. So if we treat the gray-level value of each pixel here as some variable xi is there some function of all those variables that—when evaluated—tells us what digit the image is of? It turns out that it’s possible to construct such a function. Not surprisingly, it’s not particularly simple, though. And a typical example might involve perhaps half a million mathematical operations. But the end result is that if we feed the collection of pixel values for an image into this function, out will come the number specifying which digit we have an image of. Later, we’ll talk about how such a function can be constructed, and the idea of neural nets. But for now let’s treat the function as black box, where we feed in images of, say, handwritten digits (as arrays of pixel values) and we get out the numbers these correspond to: But what’s really going on here? Let’s say we progressively blur a digit. For a little while our function still “recognizes” it, here as a “2”. But soon it “loses it”, and starts giving the “wrong” result: But why do we say it’s the “wrong” result? In this case, we know we got all the images by blurring a “2”. But if our goal is to produce a model of what humans can do in recognizing images, the real question to ask is what a human would have done if presented with one of those blurred images, without knowing where it came from. And we have a “good model” if the results we get from our function typically agree with what a human would say. And the nontrivial scientific fact is that for an image-recognition task like this we now basically know how to construct functions that do this. Can we “mathematically prove” that they work? Well, no. Because to do that we’d have to have a mathematical theory of what we humans are doing. Take the “2” image and change a few pixels. We might imagine that with only a few pixels “out of place” we should still consider the image a “2”. But how far should that go? It’s a question of human visual perception. And, yes, the answer would no doubt be different for bees or octopuses—and potentially utterly different for putative aliens. Neural Nets OK, so how do our typical models for tasks like image recognition actually work? The most popular—and successful—current approach uses neural nets. Invented—in a form remarkably close to their use today—in the 1940s, neural nets can be thought of as simple idealizations of how brains seem to work. In human brains there are about 100 billion neurons (nerve cells), each capable of producing an electrical pulse up to perhaps a thousand times a second. The neurons are connected in a complicated net, with each neuron having tree-like branches allowing it to pass electrical signals to perhaps thousands of other neurons. And in a rough approximation, whether any given neuron produces an electrical pulse at a given moment depends on what pulses it’s received from other neurons—with different connections contributing with different “weights”. When we “see an image” what’s happening is that when photons of light from the image fall on (“photoreceptor”) cells at the back of eyes they produce electrical signals in nerve cells. These nerve cells are connected to other nerve cells, and eventually the signals go through a whole sequence of layers of neurons. And it’s in this process that we “recognize” the image, eventually “forming the thought” that we’re “seeing a 2” (and maybe in the end doing something like saying the word “two” out loud). The “black-box” function from the previous section is a “mathematicized” version of such a neural net. It happens to have 11 layers (though only 4 “core layers”): There’s nothing particularly “theoretically derived” about this neural net; it’s just something that—back in 1998—was constructed as a piece of engineering, and found to work. (Of course, that’s not much different from how we might describe our brains as having been produced through the process of biological evolution.) OK, but how does a neural net like this “recognize things”? The key is the notion of attractors. Imagine we’ve got handwritten images of 1’s and 2’s: We somehow want all the 1’s to “be attracted to one place”, and all the 2’s to “be attracted to another place”. Or, put a different way, if an image is somehow “closer to being a 1” than to being a 2, we want it to end up in the “1 place” and vice versa. As a straightforward analogy, let’s say we have certain positions in the plane, indicated by dots (in a real-life setting they might be positions of coffee shops). Then we might imagine that starting from any point on the plane we’d always want to end up at the closest dot (i.e. we’d always go to the closest coffee shop). We can represent this by dividing the plane into regions (“attractor basins”) separated by idealized “watersheds”: We can think of this as implementing a kind of “recognition task” in which we’re not doing something like identifying what digit a given image “looks most like”—but rather we’re just, quite directly, seeing what dot a given point is closest to. (The “Voronoi diagram” setup we’re showing here separates points in 2D Euclidean space; the digit recognition task can be thought of as doing something very similar—but in a 784-dimensional space formed from the gray levels of all the pixels in each image.) So how do we make a neural net “do a recognition task”? Let’s consider this very simple case: Our goal is to take an “input” corresponding to a position {x,y}—and then to “recognize” it as whichever of the three points it’s closest to. Or, in other words, we want the neural net to compute a function of {x,y} like: So how do we do this with a neural net? Ultimately a neural net is a connected collection of idealized “neurons”—usually arranged in layers—with a simple example being: Each “neuron” is effectively set up to evaluate a simple numerical function. And to “use” the network, we simply feed numbers (like our coordinates x and y) in at the top, then have neurons on each layer “evaluate their functions” and feed the results forward through the network—eventually producing the final result at the bottom: In the traditional (biologically inspired) setup each neuron effectively has a certain set of “incoming connections” from the neurons on the previous layer, with each connection being assigned a certain “weight” (which can be a positive or negative number). The value of a given neuron is determined by multiplying the values of “previous neurons” by their corresponding weights, then adding these up and multiplying by a constant—and finally applying a “thresholding” (or “activation”) function. In mathematical terms, if a neuron has inputs x = {x1, x2 …} then we compute f[w . x + b], where the weights w and constant b are generally chosen differently for each neuron in the network; the function f is usually the same. Computing w . x + b is just a matter of matrix multiplication and addition. The “activation function” f introduces nonlinearity (and ultimately is what leads to nontrivial behavior). Various activation functions commonly get used; here we’ll just use Ramp (or ReLU): For each task we want the neural net to perform (or, equivalently, for each overall function we want it to evaluate) we’ll have different choices of weights. (And—as we’ll discuss later—these weights are normally determined by “training” the neural net using machine learning from examples of the outputs we want.) Ultimately, every neural net just corresponds to some overall mathematical function—though it may be messy to write out. For the example above, it would be: The neural net of ChatGPT also just corresponds to a mathematical function like this—but effectively with billions of terms. But let’s go back to individual neurons. Here are some examples of the functions a neuron with two inputs (representing coordinates x and y) can compute with various choices of weights and constants (and Ramp as activation function): But what about the larger network from above? Well, here’s what it computes: It’s not quite “right” , but it’s close to the “nearest point” function we showed above. Let’s see what happens with some other neural nets. In each case, as we’ll explain later, we’re using machine learning to find the best choice of weights. Then we’re showing here what the neural net with those weights computes: Bigger networks generally do better at approximating the function we’re aiming for. And in the “middle of each attractor basin” we typically get exactly the answer we want. But at the boundaries—where the neural net “has a hard time making up its mind”—things can be messier. With this simple mathematical-style “recognition task” it’s clear what the “right answer” is. But in the problem of recognizing handwritten digits, it’s not so clear. What if someone wrote a “2” so badly it looked like a “7”, etc.? Still, we can ask how a neural net distinguishes digits—and this gives an indication: Can we say “mathematically” how the network makes its distinctions? Not really. It’s just “doing what the neural net does”. But it turns out that that normally seems to agree fairly well with the distinctions we humans make. Let’s take a more elaborate example. Let’s say we have images of cats and dogs. And we have a neural net that’s been trained to distinguish them. Here’s what it might do on some examples: Now it’s even less clear what the “right answer” is. What about a dog dressed in a cat suit? Etc. Whatever input it’s given, the neural net is generating an answer. And, it turns out, to do it in a way that’s reasonably consistent with what humans might do. As I’ve said above, that’s not a fact we can “derive from first principles”. It’s just something that’s empirically been found to be true, at least in certain domains. But it’s a key reason why neural nets are useful: that they somehow capture a “human-like” way of doing things. Show yourself a picture of a cat, and ask “Why is that a cat?”. Maybe you’d start saying “Well, I see its pointy ears, etc.” But it’s not very easy to explain how you recognized the image as a cat. It’s just that somehow your brain figured that out. But for a brain there’s no way (at least yet) to “go inside” and see how it figured it out. What about for an (artificial) neural net? Well, it’s straightforward to see what each “neuron” does when you show a picture of a cat. But even to get a basic visualization is usually very difficult. In the final net that we used for the “nearest point” problem above there are 17 neurons. In the net for recognizing handwritten digits there are 2190. And in the net we’re using to recognize cats and dogs there are 60,650. Normally it would be pretty difficult to visualize what amounts to 60,650-dimensional space. But because this is a network set up to deal with images, many of its layers of neurons are organized into arrays, like the arrays of pixels it’s looking at. And if we take a typical cat image then we can represent the states of neurons at the first layer by a collection of derived images—many of which we can readily interpret as being things like “the cat without its background”, or “the outline of the cat”: By the 10th layer it’s harder to interpret what’s going on: But in general we might say that the neural net is “picking out certain features” (maybe pointy ears are among them), and using these to determine what the image is of. But are those features ones for which we have names—like “pointy ears”? Mostly not. Are our brains using similar features? Mostly we don’t know. But it’s notable that the first few layers of a neural net like the one we’re showing here seem to pick out aspects of images (like edges of objects) that seem to be similar to ones we know are picked out by the first level of visual processing in brains. But let’s say we want a “theory of cat recognition” in neural nets. We can say: “Look, this particular net does it”—and immediately that gives us some sense of “how hard a problem” it is (and, for example, how many neurons or layers might be needed). But at least as of now we don’t have a way to “give a narrative description” of what the network is doing. And maybe that’s because it truly is computationally irreducible, and there’s no general way to find what it does except by explicitly tracing each step. Or maybe it’s just that we haven’t “figured out the science”, and identified the “natural laws” that allow us to summarize what’s going on. We’ll encounter the same kinds of issues when we talk about generating language with ChatGPT. And again it’s not clear whether there are ways to “summarize what it’s doing”. But the richness and detail of language (and our experience with it) may allow us to get further than with images. Machine Learning, and the Training of Neural Nets We’ve been talking so far about neural nets that “already know” how to do particular tasks. But what makes neural nets so useful (presumably also in brains) is that not only can they in principle do all sorts of tasks, but they can be incrementally “trained from examples” to do those tasks. When we make a neural net to distinguish cats from dogs we don’t effectively have to write a program that (say) explicitly finds whiskers; instead we just show lots of examples of what’s a cat and what’s a dog, and then have the network “machine learn” from these how to distinguish them. And the point is that the trained network “generalizes” from the particular examples it’s shown. Just as we’ve seen above, it isn’t simply that the network recognizes the particular pixel pattern of an example cat image it was shown; rather it’s that the neural net somehow manages to distinguish images on the basis of what we consider to be some kind of “general catness”. So how does neural net training actually work? Essentially what we’re always trying to do is to find weights that make the neural net successfully reproduce the examples we’ve given. And then we’re relying on the neural net to “interpolate” (or “generalize”) “between” these examples in a “reasonable” way. Let’s look at a problem even simpler than the nearest-point one above. Let’s just try to get a neural net to learn the function: For this task, we’ll need a network that has just one input and one output, like: But what weights, etc. should we be using? With every possible set of weights the neural net will compute some function. And, for example, here’s what it does with a few randomly chosen sets of weights: And, yes, we can plainly see that in none of these cases does it get even close to reproducing the function we want. So how do we find weights that will reproduce the function? The basic idea is to supply lots of “input → output” examples to “learn from”—and then to try to find weights that will reproduce these examples. Here’s the result of doing that with progressively more examples: At each stage in this “training” the weights in the network are progressively adjusted—and we see that eventually we get a network that successfully reproduces the function we want. So how do we adjust the weights? The basic idea is at each stage to see “how far away we are” from getting the function we want—and then to update the weights in such a way as to get closer. To find out “how far away we are” we compute what’s usually called a “loss function” (or sometimes “cost function”). Here we’re using a simple (L2) loss function that’s just the sum of the squares of the differences between the values we get, and the true values. And what we see is that as our training process progresses, the loss function progressively decreases (following a certain “learning curve” that’s different for different tasks)—until we reach a point where the network (at least to a good approximation) successfully reproduces the function we want: Alright, so the last essential piece to explain is how the weights are adjusted to reduce the loss function. As we’ve said, the loss function gives us a “distance” between the values we’ve got, and the true values. But the “values we’ve got” are determined at each stage by the current version of neural net—and by the weights in it. But now imagine that the weights are variables—say wi. We want to find out how to adjust the values of these variables to minimize the loss that depends on them. For example, imagine (in an incredible simplification of typical neural nets used in practice) that we have just two weights w1 and w2. Then we might have a loss that as a function of w1 and w2 looks like this: Numerical analysis provides a variety of techniques for finding the minimum in cases like this. But a typical approach is just to progressively follow the path of steepest descent from whatever previous w1, w2 we had: Like water flowing down a mountain, all that’s guaranteed is that this procedure will end up at some local minimum of the surface (“a mountain lake”); it might well not reach the ultimate global minimum. It’s not obvious that it would be feasible to find the path of the steepest descent on the “weight landscape”. But calculus comes to the rescue. As we mentioned above, one can always think of a neural net as computing a mathematical function—that depends on its inputs, and its weights. But now consider differentiating with respect to these weights. It turns out that the chain rule of calculus in effect lets us “unravel” the operations done by successive layers in the neural net. And the result is that we can—at least in some local approximation—“invert” the operation of the neural net, and progressively find weights that minimize the loss associated with the output. The picture above shows the kind of minimization we might need to do in the unrealistically simple case of just 2 weights. But it turns out that even with many more weights (ChatGPT uses 175 billion) it’s still possible to do the minimization, at least to some level of approximation. And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few. In other words—somewhat counterintuitively—it can be easier to solve more complicated problems with neural nets than simpler ones. And the rough reason for this seems to be that when one has a lot of “weight variables” one has a high-dimensional space with “lots of different directions” that can lead one to the minimum—whereas with fewer variables it’s easier to end up getting stuck in a local minimum (“mountain lake”) from which there’s no “direction to get out”. It’s worth pointing out that in typical cases there are many different collections of weights that will all give neural nets that have pretty much the same performance. And usually in practical neural net training there are lots of random choices made—that lead to “different-but-equivalent solutions”, like these: But each such “different solution” will have at least slightly different behavior. And if we ask, say, for an “extrapolation” outside the region where we gave training examples, we can get dramatically different results: But which of these is “right”? There’s really no way to say. They’re all “consistent with the observed data”. But they all correspond to different “innate” ways to “think about” what to do “outside the box”. And some may seem “more reasonable” to us humans than others. The Practice and Lore of Neural Net Training Particularly over the past decade, there’ve been many advances in the art of training neural nets. And, yes, it is basically an art. Sometimes—especially in retrospect—one can see at least a glimmer of a “scientific explanation” for something that’s being done. But mostly things have been discovered by trial and error, adding ideas and tricks that have progressively built a significant lore about how to work with neural nets. There are several key parts. First, there’s the matter of what architecture of neural net one should use for a particular task. Then there’s the critical issue of how one’s going to get the data on which to train the neural net. And increasingly one isn’t dealing with training a net from scratch: instead a new net can either directly incorporate another already-trained net, or at least can use that net to generate more training examples for itself. One might have thought that for every particular kind of task one would need a different architecture of neural net. But what’s been found is that the same architecture often seems to work even for apparently quite different tasks. At some level this reminds one of the idea of universal computation (and my Principle of Computational Equivalence), but, as I’ll discuss later, I think it’s more a reflection of the fact that the tasks we’re typically trying to get neural nets to do are “human-like” ones—and neural nets can capture quite general “human-like processes”. In earlier days of neural nets, there tended to be the idea that one should “make the neural net do as little as possible”. For example, in converting speech to text it was thought that one should first analyze the audio of the speech, break it into phonemes, etc. But what was found is that—at least for “human-like tasks”—it’s usually better just to try to train the neural net on the “end-to-end problem”, letting it “discover” the necessary intermediate features, encodings, etc. for itself. There was also the idea that one should introduce complicated individual components into the neural net, to let it in effect “explicitly implement particular algorithmic ideas”. But once again, this has mostly turned out not to be worthwhile; instead, it’s better just to deal with very simple components and let them “organize themselves” (albeit usually in ways we can’t understand) to achieve (presumably) the equivalent of those algorithmic ideas. That’s not to say that there are no “structuring ideas” that are relevant for neural nets. Thus, for example, having 2D arrays of neurons with local connections seems at least very useful in the early stages of processing images. And having patterns of connectivity that concentrate on “looking back in sequences” seems useful—as we’ll see later—in dealing with things like human language, for example in ChatGPT. But an important feature of neural nets is that—like computers in general—they’re ultimately just dealing with data. And current neural nets—with current approaches to neural net training—specifically deal with arrays of numbers. But in the course of processing, those arrays can be completely rearranged and reshaped. And as an example, the network we used for identifying digits above starts with a 2D “image-like” array, quickly “thickening” to many channels, but then “concentrating down” into a 1D array that will ultimately contain elements representing the different possible output digits: But, OK, how can one tell how big a neural net one will need for a particular task? It’s something of an art. At some level the key thing is to know “how hard the task is”. But for human-like tasks that’s typically very hard to estimate. Yes, there may be a systematic way to do the task very “mechanically” by computer. But it’s hard to know if there are what one might think of as tricks or shortcuts that allow one to do the task at least at a “human-like level” vastly more easily. It might take enumerating a giant game tree to “mechanically” play a certain game; but there might be a much easier (“heuristic”) way to achieve “human-level play”. When one’s dealing with tiny neural nets and simple tasks one can sometimes explicitly see that one “can’t get there from here”. For example, here’s the best one seems to be able to do on the task from the previous section with a few small neural nets: And what we see is that if the net is too small, it just can’t reproduce the function we want. But above some size, it has no problem—at least if one trains it for long enough, with enough examples. And, by the way, these pictures illustrate a piece of neural net lore: that one can often get away with a smaller network if there’s a “squeeze” in the middle that forces everything to go through a smaller intermediate number of neurons. (It’s also worth mentioning that “no-intermediate-layer”—or so-called “perceptron”—networks can only learn essentially linear functions—but as soon as there’s even one intermediate layer it’s always in principle possible to approximate any function arbitrarily well, at least if one has enough neurons, though to make it feasibly trainable one typically has some kind of regularization or normalization.) OK, so let’s say one’s settled on a certain neural net architecture. Now there’s the issue of getting data to train the network with. And many of the practical challenges around neural nets—and machine learning in general—center on acquiring or preparing the necessary training data. In many cases (“supervised learning”) one wants to get explicit examples of inputs and the outputs one is expecting from them. Thus, for example, one might want images tagged by what’s in them, or some other attribute. And maybe one will have to explicitly go through—usually with great effort—and do the tagging. But very often it turns out to be possible to piggyback on something that’s already been done, or use it as some kind of proxy. And so, for example, one might use alt tags that have been provided for images on the web. Or, in a different domain, one might use closed captions that have been created for videos. Or—for language translation training—one might use parallel versions of webpages or other documents that exist in different languages. How much data do you need to show a neural net to train it for a particular task? Again, it’s hard to estimate from first principles. Certainly the requirements can be dramatically reduced by using “transfer learning” to “transfer in” things like lists of important features that have already been learned in another network. But generally neural nets need to “see a lot of examples” to train well. And at least for some tasks it’s an important piece of neural net lore that the examples can be incredibly repetitive. And indeed it’s a standard strategy to just show a neural net all the examples one has, over and over again. In each of these “training rounds” (or “epochs”) the neural net will be in at least a slightly different state, and somehow “reminding it” of a particular example is useful in getting it to “remember that example”. (And, yes, perhaps this is analogous to the usefulness of repetition in human memorization.) But often just repeating the same example over and over again isn’t enough. It’s also necessary to show the neural net variations of the example. And it’s a feature of neural net lore that those “data augmentation” variations don’t have to be sophisticated to be useful. Just slightly modifying images with basic image processing can make them essentially “as good as new” for neural net training. And, similarly, when one’s run out of actual video, etc. for training self-driving cars, one can go on and just get data from running simulations in a model videogame-like environment without all the detail of actual real-world scenes. How about something like ChatGPT? Well, it has the nice feature that it can do “unsupervised learning”, making it much easier to get it examples to train from. Recall that the basic task for ChatGPT is to figure out how to continue a piece of text that it’s been given. So to get it “training examples” all one has to do is get a piece of text, and mask out the end of it, and then use this as the “input to train from”—with the “output” being the complete, unmasked piece of text. We’ll discuss this more later, but the main point is that—unlike, say, for learning what’s in images—there’s no “explicit tagging” needed; ChatGPT can in effect just learn directly from whatever examples of text it’s given. OK, so what about the actual learning process in a neural net? In the end it’s all about determining what weights will best capture the training examples that have been given. And there are all sorts of detailed choices and “hyperparameter settings” (so called because the weights can be thought of as “parameters”) that can be used to tweak how this is done. There are different choices of loss function (sum of squares, sum of absolute values, etc.). There are different ways to do loss minimization (how far in weight space to move at each step, etc.). And then there are questions like how big a “batch” of examples to show to get each successive estimate of the loss one’s trying to minimize. And, yes, one can apply machine learning (as we do, for example, in Wolfram Language) to automate machine learning—and to automatically set things like hyperparameters. But in the end the whole process of training can be characterized by seeing how the loss progressively decreases (as in this Wolfram Language progress monitor for a small training): And what one typically sees is that the loss decreases for a while, but eventually flattens out at some constant value. If that value is sufficiently small, then the training can be considered successful; otherwise it’s probably a sign one should try changing the network architecture. Can one tell how long it should take for the “learning curve” to flatten out? Like for so many other things, there seem to be approximate power-law scaling relationships that depend on the size of neural net and amount of data one’s using. But the general conclusion is that training a neural net is hard—and takes a lot of computational effort. And as a practical matter, the vast majority of that effort is spent doing operations on arrays of numbers, which is what GPUs are good at—which is why neural net training is typically limited by the availability of GPUs. In the future, will there be fundamentally better ways to train neural nets—or generally do what neural nets do? Almost certainly, I think. The fundamental idea of neural nets is to create a flexible “computing fabric” out of a large number of simple (essentially identical) components—and to have this “fabric” be one that can be incrementally modified to learn from examples. In current neural nets, one’s essentially using the ideas of calculus—applied to real numbers—to do that incremental modification. But it’s increasingly clear that having high-precision numbers doesn’t matter; 8 bits or less might be enough even with current methods. With computational systems like cellular automata that basically operate in parallel on many individual bits it’s never been clear how to do this kind of incremental modification, but there’s no reason to think it isn’t possible. And in fact, much like with the “deep-learning breakthrough of 2012” it may be that such incremental modification will effectively be easier in more complicated cases than in simple ones. Neural nets—perhaps a bit like brains—are set up to have an essentially fixed network of neurons, with what’s modified being the strength (“weight”) of connections between them. (Perhaps in at least young brains significant numbers of wholly new connections can also grow.) But while this might be a convenient setup for biology, it’s not at all clear that it’s even close to the best way to achieve the functionality we need. And something that involves the equivalent of progressive network rewriting (perhaps reminiscent of our Physics Project) might well ultimately be better. But even within the framework of existing neural nets there’s currently a crucial limitation: neural net training as it’s now done is fundamentally sequential, with the effects of each batch of examples being propagated back to update the weights. And indeed with current computer hardware—even taking into account GPUs—most of a neural net is “idle” most of the time during training, with just one part at a time being updated. And in a sense this is because our current computers tend to have memory that is separate from their CPUs (or GPUs). But in brains it’s presumably different—with every “memory element” (i.e. neuron) also being a potentially active computational element. And if we could set up our future computer hardware this way it might become possible to do training much more efficiently. “Surely a Network That’s Big Enough Can Do Anything!” The capabilities of something like ChatGPT seem so impressive that one might imagine that if one could just “keep going” and train larger and larger neural networks, then they’d eventually be able to “do everything”. And if one’s concerned with things that are readily accessible to immediate human thinking, it’s quite possible that this is the case. But the lesson of the past several hundred years of science is that there are things that can be figured out by formal processes, but aren’t readily accessible to immediate human thinking. Nontrivial mathematics is one big example. But the general case is really computation. And ultimately the issue is the phenomenon of computational irreducibility. There are some computations which one might think would take many steps to do, but which can in fact be “reduced” to something quite immediate. But the discovery of computational irreducibility implies that this doesn’t always work. And instead there are processes—probably like the one below—where to work out what happens inevitably requires essentially tracing each computational step: The kinds of things that we normally do with our brains are presumably specifically chosen to avoid computational irreducibility. It takes special effort to do math in one’s brain. And it’s in practice largely impossible to “think through” the steps in the operation of any nontrivial program just in one’s brain. But of course for that we have computers. And with computers we can readily do long, computationally irreducible things. And the key point is that there’s in general no shortcut for these. Yes, we could memorize lots of specific examples of what happens in some particular computational system. And maybe we could even see some (“computationally reducible”) patterns that would allow us to do a little generalization. But the point is that computational irreducibility means that we can never guarantee that the unexpected won’t happen—and it’s only by explicitly doing the computation that you can tell what actually happens in any particular case. And in the end there’s just a fundamental tension between learnability and computational irreducibility. Learning involves in effect compressing data by leveraging regularities. But computational irreducibility implies that ultimately there’s a limit to what regularities there may be. As a practical matter, one can imagine building little computational devices—like cellular automata or Turing machines—into trainable systems like neural nets. And indeed such devices can serve as good “tools” for the neural net—like Wolfram|Alpha can be a good tool for ChatGPT. But computational irreducibility implies that one can’t expect to “get inside” those devices and have them learn. Or put another way, there’s an ultimate tradeoff between capability and trainability: the more you want a system to make “true use” of its computational capabilities, the more it’s going to show computational irreducibility, and the less it’s going to be trainable. And the more it’s fundamentally trainable, the less it’s going to be able to do sophisticated computation. (For ChatGPT as it currently is, the situation is actually much more extreme, because the neural net used to generate each token of output is a pure “feed-forward” network, without loops, and therefore has no ability to do any kind of computation with nontrivial “control flow”.) Of course, one might wonder whether it’s actually important to be able to do irreducible computations. And indeed for much of human history it wasn’t particularly important. But our modern technological world has been built on engineering that makes use of at least mathematical computations—and increasingly also more general computations. And if we look at the natural world, it’s full of irreducible computation—that we’re slowly understanding how to emulate and use for our technological purposes. Yes, a neural net can certainly notice the kinds of regularities in the natural world that we might also readily notice with “unaided human thinking”. But if we want to work out things that are in the purview of mathematical or computational science the neural net isn’t going to be able to do it—unless it effectively “uses as a tool” an “ordinary” computational system. But there’s something potentially confusing about all of this. In the past there were plenty of tasks—including writing essays—that we’ve assumed were somehow “fundamentally too hard” for computers. And now that we see them done by the likes of ChatGPT we tend to suddenly think that computers must have become vastly more powerful—in particular surpassing things they were already basically able to do (like progressively computing the behavior of computational systems like cellular automata). But this isn’t the right conclusion to draw. Computationally irreducible processes are still computationally irreducible, and are still fundamentally hard for computers—even if computers can readily compute their individual steps. And instead what we should conclude is that tasks—like writing essays—that we humans could do, but we didn’t think computers could do, are actually in some sense computationally easier than we thought. In other words, the reason a neural net can be successful in writing an essay is because writing an essay turns out to be a “computationally shallower” problem than we thought. And in a sense this takes us closer to “having a theory” of how we humans manage to do things like writing essays, or in general deal with language. If you had a big enough neural net then, yes, you might be able to do whatever humans can readily do. But you wouldn’t capture what the natural world in general can do—or that the tools that we’ve fashioned from the natural world can do. And it’s the use of those tools—both practical and conceptual—that have allowed us in recent centuries to transcend the boundaries of what’s accessible to “pure unaided human thought”, and capture for human purposes more of what’s out there in the physical and computational universe. The Concept of Embeddings Neural nets—at least as they’re currently set up—are fundamentally based on numbers. So if we’re going to to use them to work on something like text we’ll need a way to represent our text with numbers. And certainly we could start (essentially as ChatGPT does) by just assigning a number to every word in the dictionary. But there’s an important idea—that’s for example central to ChatGPT—that goes beyond that. And it’s the idea of “embeddings”. One can think of an embedding as a way to try to represent the “essence” of something by an array of numbers—with the property that “nearby things” are represented by nearby numbers. And so, for example, we can think of a word embedding as trying to lay out words in a kind of “meaning space” in which words that are somehow “nearby in meaning” appear nearby in the embedding. The actual embeddings that are used—say in ChatGPT—tend to involve large lists of numbers. But if we project down to 2D, we can show examples of how words are laid out by the embedding: And, yes, what we see does remarkably well in capturing typical everyday impressions. But how can we construct such an embedding? Roughly the idea is to look at large amounts of text (here 5 billion words from the web) and then see “how similar” the “environments” are in which different words appear. So, for example, “alligator” and “crocodile” will often appear almost interchangeably in otherwise similar sentences, and that means they’ll be placed nearby in the embedding. But “turnip” and “eagle” won’t tend to appear in otherwise similar sentences, so they’ll be placed far apart in the embedding. But how does one actually implement something like this using neural nets? Let’s start by talking about embeddings not for words, but for images. We want to find some way to characterize images by lists of numbers in such a way that “images we consider similar” are assigned similar lists of numbers. How do we tell if we should “consider images similar”? Well, if our images are, say, of handwritten digits we might “consider two images similar” if they are of the same digit. Earlier we discussed a neural net that was trained to recognize handwritten digits. And we can think of this neural net as being set up so that in its final output it puts images into 10 different bins, one for each digit. But what if we “intercept” what’s going on inside the neural net before the final “it’s a ‘4’” decision is made? We might expect that inside the neural net there are numbers that characterize images as being “mostly 4-like but a bit 2-like” or some such. And the idea is to pick up such numbers to use as elements in an embedding. So here’s the concept. Rather than directly trying to characterize “what image is near what other image”, we instead consider a well-defined task (in this case digit recognition) for which we can get explicit training data—then use the fact that in doing this task the neural net implicitly has to make what amount to “nearness decisions”. So instead of us ever explicitly having to talk about “nearness of images” we’re just talking about the concrete question of what digit an image represents, and then we’re “leaving it to the neural net” to implicitly determine what that implies about “nearness of images”. So how in more detail does this work for the digit recognition network? We can think of the network as consisting of 11 successive layers, that we might summarize iconically like this (with activation functions shown as separate layers): At the beginning we’re feeding into the first layer actual images, represented by 2D arrays of pixel values. And at the end—from the last layer—we’re getting out an array of 10 values, which we can think of saying “how certain” the network is that the image corresponds to each of the digits 0 through 9. Feed in the image and the values of the neurons in that last layer are: In other words, the neural net is by this point “incredibly certain” that this image is a 4—and to actually get the output “4” we just have to pick out the position of the neuron with the largest value. But what if we look one step earlier? The very last operation in the network is a so-called softmax which tries to “force certainty”. But before that’s been applied the values of the neurons are: The neuron representing “4” still has the highest numerical value. But there’s also information in the values of the other neurons. And we can expect that this list of numbers can in a sense be used to characterize the “essence” of the image—and thus to provide something we can use as an embedding. And so, for example, each of the 4’s here has a slightly different “signature” (or “feature embedding”)—all very different from the 8’s: Here we’re essentially using 10 numbers to characterize our images. But it’s often better to use much more than that. And for example in our digit recognition network we can get an array of 500 numbers by tapping into the preceding layer. And this is probably a reasonable array to use as an “image embedding”. If we want to make an explicit visualization of “image space” for handwritten digits we need to “reduce the dimension”, effectively by projecting the 500-dimensional vector we’ve got into, say, 3D space: We’ve just talked about creating a characterization (and thus embedding) for images based effectively on identifying the similarity of images by determining whether (according to our training set) they correspond to the same handwritten digit. And we can do the same thing much more generally for images if we have a training set that identifies, say, which of 5000 common types of object (cat, dog, chair, …) each image is of. And in this way we can make an image embedding that’s “anchored” by our identification of common objects, but then “generalizes around that” according to the behavior of the neural net. And the point is that insofar as that behavior aligns with how we humans perceive and interpret images, this will end up being an embedding that “seems right to us”, and is useful in practice in doing “human-judgement-like” tasks. OK, so how do we follow the same kind of approach to find embeddings for words? The key is to start from a task about words for which we can readily do training. And the standard such task is “word prediction”. Imagine we’re given “the ___ cat”. Based on a large corpus of text (say, the text content of the web), what are the probabilities for different words that might “fill in the blank”? Or, alternatively, given “___ black ___” what are the probabilities for different “flanking words”? How do we set this problem up for a neural net? Ultimately we have to formulate everything in terms of numbers. And one way to do this is just to assign a unique number to each of the 50,000 or so common words in English. So, for example, “the” might be 914, and “ cat” (with a space before it) might be 3542. (And these are the actual numbers used by GPT-2.) So for the “the ___ cat” problem, our input might be {914, 3542}. What should the output be like? Well, it should be a list of 50,000 or so numbers that effectively give the probabilities for each of the possible “fill-in” words. And once again, to find an embedding, we want to “intercept” the “insides” of the neural net just before it “reaches its conclusion”—and then pick up the list of numbers that occur there, and that we can think of as “characterizing each word”. OK, so what do those characterizations look like? Over the past 10 years there’ve been a sequence of different systems developed (word2vec, GloVe, BERT, GPT, …), each based on a different neural net approach. But ultimately all of them take words and characterize them by lists of hundreds to thousands of numbers. In their raw form, these “embedding vectors” are quite uninformative. For example, here’s what GPT-2 produces as the raw embedding vectors for three specific words: If we do things like measure distances between these vectors, then we can find things like “nearnesses” of words. Later we’ll discuss in more detail what we might consider the “cognitive” significance of such embeddings. But for now the main point is that we have a way to usefully turn words into “neural-net-friendly” collections of numbers. But actually we can go further than just characterizing words by collections of numbers; we can also do this for sequences of words, or indeed whole blocks of text. And inside ChatGPT that’s how it’s dealing with things. It takes the text it’s got so far, and generates an embedding vector to represent it. Then its goal is to find the probabilities for different words that might occur next. And it represents its answer for this as a list of numbers that essentially give the probabilities for each of the 50,000 or so possible words. (Strictly, ChatGPT does not deal with words, but rather with “tokens”—convenient linguistic units that might be whole words, or might just be pieces like “pre” or “ing” or “ized”. Working with tokens makes it easier for ChatGPT to handle rare, compound and non-English words, and, sometimes, for better or worse, to invent new words.) Inside ChatGPT OK, so we’re finally ready to discuss what’s inside ChatGPT. And, yes, ultimately, it’s a giant neural net—currently a version of the so-called GPT-3 network with 175 billion weights. In many ways this is a neural net very much like the other ones we’ve discussed. But it’s a neural net that’s particularly set up for dealing with language. And its most notable feature is a piece of neural net architecture called a “transformer”. In the first neural nets we discussed above, every neuron at any given layer was basically connected (at least with some weight) to every neuron on the layer before. But this kind of fully connected network is (presumably) overkill if one’s working with data that has particular, known structure. And thus, for example, in the early stages of dealing with images, it’s typical to use so-called convolutional neural nets (“convnets”) in which neurons are effectively laid out on a grid analogous to the pixels in the image—and connected only to neurons nearby on the grid. The idea of transformers is to do something at least somewhat similar for sequences of tokens that make up a piece of text. But instead of just defining a fixed region in the sequence over which there can be connections, transformers instead introduce the notion of “attention”—and the idea of “paying attention” more to some parts of the sequence than others. Maybe one day it’ll make sense to just start a generic neural net and do all customization through training. But at least as of now it seems to be critical in practice to “modularize” things—as transformers do, and probably as our brains also do. OK, so what does ChatGPT (or, rather, the GPT-3 network on which it’s based) actually do? Recall that its overall goal is to continue text in a “reasonable” way, based on what it’s seen from the training it’s had (which consists in looking at billions of pages of text from the web, etc.) So at any given point, it’s got a certain amount of text—and its goal is to come up with an appropriate choice for the next token to add. It operates in three basic stages. First, it takes the sequence of tokens that corresponds to the text so far, and finds an embedding (i.e. an array of numbers) that represents these. Then it operates on this embedding—in a “standard neural net way”, with values “rippling through” successive layers in a network—to produce a new embedding (i.e. a new array of numbers). It then takes the last part of this array and generates from it an array of about 50,000 values that turn into probabilities for different possible next tokens. (And, yes, it so happens that there are about the same number of tokens used as there are common words in English, though only about 3000 of the tokens are whole words, and the rest are fragments.) A critical point is that every part of this pipeline is implemented by a neural network, whose weights are determined by end-to-end training of the network. In other words, in effect nothing except the overall architecture is “explicitly engineered”; everything is just “learned” from training data. There are, however, plenty of details in the way the architecture is set up—reflecting all sorts of experience and neural net lore. And—even though this is definitely going into the weeds—I think it’s useful to talk about some of those details, not least to get a sense of just what goes into building something like ChatGPT. First comes the embedding module. Here’s a schematic Wolfram Language representation for it for GPT-2: The input is a vector of n tokens (represented as in the previous section by integers from 1 to about 50,000). Each of these tokens is converted (by a single-layer neural net) into an embedding vector (of length 768 for GPT-2 and 12,288 for ChatGPT’s GPT-3). Meanwhile, there’s a “secondary pathway” that takes the sequence of (integer) positions for the tokens, and from these integers creates another embedding vector. And finally the embedding vectors from the token value and the token position are added together—to produce the final sequence of embedding vectors from the embedding module. Why does one just add the token-value and token-position embedding vectors together? I don’t think there’s any particular science to this. It’s just that various different things have been tried, and this is one that seems to work. And it’s part of the lore of neural nets that—in some sense—so long as the setup one has is “roughly right” it’s usually possible to home in on details just by doing sufficient training, without ever really needing to “understand at an engineering level” quite how the neural net has ended up configuring itself. Here’s what the embedding module does, operating on the string hello hello hello hello hello hello hello hello hello hello bye bye bye bye bye bye bye bye bye bye: The elements of the embedding vector for each token are shown down the page, and across the page we see first a run of “hello” embeddings, followed by a run of “bye” ones. The second array above is the positional embedding—with its somewhat-random-looking structure being just what “happened to be learned” (in this case in GPT-2). OK, so after the embedding module comes the “main event” of the transformer: a sequence of so-called “attention blocks” (12 for GPT-2, 96 for ChatGPT’s GPT-3). It’s all pretty complicated—and reminiscent of typical large hard-to-understand engineering systems, or, for that matter, biological systems. But anyway, here’s a schematic representation of a single “attention block” (for GPT-2): Within each such attention block there are a collection of “attention heads” (12 for GPT-2, 96 for ChatGPT’s GPT-3)—each of which operates independently on different chunks of values in the embedding vector. (And, yes, we don’t know any particular reason why it’s a good idea to split up the embedding vector, or what the different parts of it “mean”; this is just one of those things that’s been “found to work”.) OK, so what do the attention heads do? Basically they’re a way of “looking back” in the sequence of tokens (i.e. in the text produced so far), and “packaging up the past” in a form that’s useful for finding the next token. In the first section above we talked about using 2-gram probabilities to pick words based on their immediate predecessors. What the “attention” mechanism in transformers does is to allow “attention to” even much earlier words—thus potentially capturing the way, say, verbs can refer to nouns that appear many words before them in a sentence. At a more detailed level, what an attention head does is to recombine chunks in the embedding vectors associated with different tokens, with certain weights. And so, for example, the 12 attention heads in the first attention block (in GPT-2) have the following (“look-back-all-the-way-to-the-beginning-of-the-sequence-of-tokens”) patterns of “recombination weights” for the “hello, bye” string above: After being processed by the attention heads, the resulting “re-weighted embedding vector” (of length 768 for GPT-2 and length 12,288 for ChatGPT’s GPT-3) is passed through a standard “fully connected” neural net layer. It’s hard to get a handle on what this layer is doing. But here’s a plot of the 768×768 matrix of weights it’s using (here for GPT-2): Taking 64×64 moving averages, some (random-walk-ish) structure begins to emerge: What determines this structure? Ultimately it’s presumably some “neural net encoding” of features of human language. But as of now, what those features might be is quite unknown. In effect, we’re “opening up the brain of ChatGPT” (or at least GPT-2) and discovering, yes, it’s complicated in there, and we don’t understand it—even though in the end it’s producing recognizable human language. OK, so after going through one attention block, we’ve got a new embedding vector—which is then successively passed through additional attention blocks (a total of 12 for GPT-2; 96 for GPT-3). Each attention block has its own particular pattern of “attention” and “fully connected” weights. Here for GPT-2 are the sequence of attention weights for the “hello, bye” input, for the first attention head: And here are the (moving-averaged) “matrices” for the fully connected layers: Curiously, even though these “matrices of weights” in different attention blocks look quite similar, the distributions of the sizes of weights can be somewhat different (and are not always Gaussian): So after going through all these attention blocks what is the net effect of the transformer? Essentially it’s to transform the original collection of embeddings for the sequence of tokens to a final collection. And the particular way ChatGPT works is then to pick up the last embedding in this collection, and “decode” it to produce a list of probabilities for what token should come next. So that’s in outline what’s inside ChatGPT. It may seem complicated (not least because of its many inevitably somewhat arbitrary “engineering choices”), but actually the ultimate elements involved are remarkably simple. Because in the end what we’re dealing with is just a neural net made of “artificial neurons”, each doing the simple operation of taking a collection of numerical inputs, and then combining them with certain weights. The original input to ChatGPT is an array of numbers (the embedding vectors for the tokens so far), and what happens when ChatGPT “runs” to produce a new token is just that these numbers “ripple through” the layers of the neural net, with each neuron “doing its thing” and passing the result to neurons on the next layer. There’s no looping or “going back”. Everything just “feeds forward” through the network. It’s a very different setup from a typical computational system—like a Turing machine—in which results are repeatedly “reprocessed” by the same computational elements. Here—at least in generating a given token of output—each computational element (i.e. neuron) is used only once. But there is in a sense still an “outer loop” that reuses computational elements even in ChatGPT. Because when ChatGPT is going to generate a new token, it always “reads” (i.e. takes as input) the whole sequence of tokens that come before it, including tokens that ChatGPT itself has “written” previously. And we can think of this setup as meaning that ChatGPT does—at least at its outermost level—involve a “feedback loop”, albeit one in which every iteration is explicitly visible as a token that appears in the text that it generates. But let’s come back to the core of ChatGPT: the neural net that’s being repeatedly used to generate each token. At some level it’s very simple: a whole collection of identical artificial neurons. And some parts of the network just consist of (“fully connected”) layers of neurons in which every neuron on a given layer is connected (with some weight) to every neuron on the layer before. But particularly with its transformer architecture, ChatGPT has parts with more structure, in which only specific neurons on different layers are connected. (Of course, one could still say that “all neurons are connected”—but some just have zero weight.) In addition, there are aspects of the neural net in ChatGPT that aren’t most naturally thought of as just consisting of “homogeneous” layers. And for example—as the iconic summary above indicates—inside an attention block there are places where “multiple copies are made” of incoming data, each then going through a different “processing path”, potentially involving a different number of layers, and only later recombining. But while this may be a convenient representation of what’s going on, it’s always at least in principle possible to think of “densely filling in” layers, but just having some weights be zero. If one looks at the longest path through ChatGPT, there are about 400 (core) layers involved—in some ways not a huge number. But there are millions of neurons—with a total of 175 billion connections and therefore 175 billion weights. And one thing to realize is that every time ChatGPT generates a new token, it has to do a calculation involving every single one of these weights. Implementationally these calculations can be somewhat organized “by layer” into highly parallel array operations that can conveniently be done on GPUs. But for each token that’s produced, there still have to be 175 billion calculations done (and in the end a bit more)—so that, yes, it’s not surprising that it can take a while to generate a long piece of text with ChatGPT. But in the end, the remarkable thing is that all these operations—individually as simple as they are—can somehow together manage to do such a good “human-like” job of generating text. It has to be emphasized again that (at least so far as we know) there’s no “ultimate theoretical reason” why anything like this should work. And in fact, as we’ll discuss, I think we have to view this as a—potentially surprising—scientific discovery: that somehow in a neural net like ChatGPT’s it’s possible to capture the essence of what human brains manage to do in generating language. The Training of ChatGPT OK, so we’ve now given an outline of how ChatGPT works once it’s set up. But how did it get set up? How were all those 175 billion weights in its neural net determined? Basically they’re the result of very large-scale training, based on a huge corpus of text—on the web, in books, etc.—written by humans. As we’ve said, even given all that training data, it’s certainly not obvious that a neural net would be able to successfully produce “human-like” text. And, once again, there seem to be detailed pieces of engineering needed to make that happen. But the big surprise—and discovery—of ChatGPT is that it’s possible at all. And that—in effect—a neural net with “just” 175 billion weights can make a “reasonable model” of text humans write. In modern times, there’s lots of text written by humans that’s out there in digital form. The public web has at least several billion human-written pages, with altogether perhaps a trillion words of text. And if one includes non-public webpages, the numbers might be at least 100 times larger. So far, more than 5 million digitized books have been made available (out of 100 million or so that have ever been published), giving another 100 billion or so words of text. And that’s not even mentioning text derived from speech in videos, etc. (As a personal comparison, my total lifetime output of published material has been a bit under 3 million words, and over the past 30 years I’ve written about 15 million words of email, and altogether typed perhaps 50 million words—and in just the past couple of years I’ve spoken more than 10 million words on livestreams. And, yes, I’ll train a bot from all of that.) But, OK, given all this data, how does one train a neural net from it? The basic process is very much as we discussed it in the simple examples above. You present a batch of examples, and then you adjust the weights in the network to minimize the error (“loss”) that the network makes on those examples. The main thing that’s expensive about “back propagating” from the error is that each time you do this, every weight in the network will typically change at least a tiny bit, and there are just a lot of weights to deal with. (The actual “back computation” is typically only a small constant factor harder than the forward one.) With modern GPU hardware, it’s straightforward to compute the results from batches of thousands of examples in parallel. But when it comes to actually updating the weights in the neural net, current methods require one to do this basically batch by batch. (And, yes, this is probably where actual brains—with their combined computation and memory elements—have, for now, at least an architectural advantage.) Even in the seemingly simple cases of learning numerical functions that we discussed earlier, we found we often had to use millions of examples to successfully train a network, at least from scratch. So how many examples does this mean we’ll need in order to train a “human-like language” model? There doesn’t seem to be any fundamental “theoretical” way to know. But in practice ChatGPT was successfully trained on a few hundred billion words of text. Some of the text it was fed several times, some of it only once. But somehow it “got what it needed” from the text it saw. But given this volume of text to learn from, how large a network should it require to “learn it well”? Again, we don’t yet have a fundamental theoretical way to say. Ultimately—as we’ll discuss further below—there’s presumably a certain “total algorithmic content” to human language and what humans typically say with it. But the next question is how efficient a neural net will be at implementing a model based on that algorithmic content. And again we don’t know—although the success of ChatGPT suggests it’s reasonably efficient. And in the end we can just note that ChatGPT does what it does using a couple hundred billion weights—comparable in number to the total number of words (or tokens) of training data it’s been given. In some ways it’s perhaps surprising (though empirically observed also in smaller analogs of ChatGPT) that the “size of the network” that seems to work well is so comparable to the “size of the training data”. After all, it’s certainly not that somehow “inside ChatGPT” all that text from the web and books and so on is “directly stored”. Because what’s actually inside ChatGPT are a bunch of numbers—with a bit less than 10 digits of precision—that are some kind of distributed encoding of the aggregate structure of all that text. Put another way, we might ask what the “effective information content” is of human language and what’s typically said with it. There’s the raw corpus of examples of language. And then there’s the representation in the neural net of ChatGPT. That representation is very likely far from the “algorithmically minimal” representation (as we’ll discuss below). But it’s a representation that’s readily usable by the neural net. And in this representation it seems there’s in the end rather little “compression” of the training data; it seems on average to basically take only a bit less than one neural net weight to carry the “information content” of a word of training data. When we run ChatGPT to generate text, we’re basically having to use each weight once. So if there are n weights, we’ve got of order n computational steps to do—though in practice many of them can typically be done in parallel in GPUs. But if we need about n words of training data to set up those weights, then from what we’ve said above we can conclude that we’ll need about n2 computational steps to do the training of the network—which is why, with current methods, one ends up needing to talk about billion-dollar training efforts. Beyond Basic Training The majority of the effort in training ChatGPT is spent “showing it” large amounts of existing text from the web, books, etc. But it turns out there’s another—apparently rather important—part too. As soon as it’s finished its “raw training” from the original corpus of text it’s been shown, the neural net inside ChatGPT is ready to start generating its own text, continuing from prompts, etc. But while the results from this may often seem reasonable, they tend—particularly for longer pieces of text—to “wander off” in often rather non-human-like ways. It’s not something one can readily detect, say, by doing traditional statistics on the text. But it’s something that actual humans reading the text easily notice. And a key idea in the construction of ChatGPT was to have another step after “passively reading” things like the web: to have actual humans actively interact with ChatGPT, see what it produces, and in effect give it feedback on “how to be a good chatbot”. But how can the neural net use that feedback? The first step is just to have humans rate results from the neural net. But then another neural net model is built that attempts to predict those ratings. But now this prediction model can be run—essentially like a loss function—on the original network, in effect allowing that network to be “tuned up” by the human feedback that’s been given. And the results in practice seem to have a big effect on the success of the system in producing “human-like” output. In general, it’s interesting how little “poking” the “originally trained” network seems to need to get it to usefully go in particular directions. One might have thought that to have the network behave as if it’s “learned something new” one would have to go in and run a training algorithm, adjusting weights, and so on. But that’s not the case. Instead, it seems to be sufficient to basically tell ChatGPT something one time—as part of the prompt you give—and then it can successfully make use of what you told it when it generates text. And once again, the fact that this works is, I think, an important clue in understanding what ChatGPT is “really doing” and how it relates to the structure of human language and thinking. There’s certainly something rather human-like about it: that at least once it’s had all that pre-training you can tell it something just once and it can “remember it”—at least “long enough” to generate a piece of text using it. So what’s going on in a case like this? It could be that “everything you might tell it is already in there somewhere”—and you’re just leading it to the right spot. But that doesn’t seem plausible. Instead, what seems more likely is that, yes, the elements are already in there, but the specifics are defined by something like a “trajectory between those elements” and that’s what you’re introducing when you tell it something. And indeed, much like for humans, if you tell it something bizarre and unexpected that completely doesn’t fit into the framework it knows, it doesn’t seem like it’ll successfully be able to “integrate” this. It can “integrate” it only if it’s basically riding in a fairly simple way on top of the framework it already has. It’s also worth pointing out again that there are inevitably “algorithmic limits” to what the neural net can “pick up”. Tell it “shallow” rules of the form “this goes to that”, etc., and the neural net will most likely be able to represent and reproduce these just fine—and indeed what it “already knows” from language will give it an immediate pattern to follow. But try to give it rules for an actual “deep” computation that involves many potentially computationally irreducible steps and it just won’t work. (Remember that at each step it’s always just “feeding data forward” in its network, never looping except by virtue of generating new tokens.) Of course, the network can learn the answer to specific “irreducible” computations. But as soon as there are combinatorial numbers of possibilities, no such “table-lookup-style” approach will work. And so, yes, just like humans, it’s time then for neural nets to “reach out” and use actual computational tools. (And, yes, Wolfram|Alpha and Wolfram Language are uniquely suitable, because they’ve been built to “talk about things in the world”, just like the language-model neural nets.) What Really Lets ChatGPT Work? Human language—and the processes of thinking involved in generating it—have always seemed to represent a kind of pinnacle of complexity. And indeed it’s seemed somewhat remarkable that human brains—with their network of a “mere” 100 billion or so neurons (and maybe 100 trillion connections) could be responsible for it. Perhaps, one might have imagined, there’s something more to brains than their networks of neurons—like some new layer of undiscovered physics. But now with ChatGPT we’ve got an important new piece of information: we know that a pure, artificial neural network with about as many connections as brains have neurons is capable of doing a surprisingly good job of generating human language. And, yes, that’s still a big and complicated system—with about as many neural net weights as there are words of text currently available out there in the world. But at some level it still seems difficult to believe that all the richness of language and the things it can talk about can be encapsulated in such a finite system. Part of what’s going on is no doubt a reflection of the ubiquitous phenomenon (that first became evident in the example of rule 30) that computational processes can in effect greatly amplify the apparent complexity of systems even when their underlying rules are simple. But, actually, as we discussed above, neural nets of the kind used in ChatGPT tend to be specifically constructed to restrict the effect of this phenomenon—and the computational irreducibility associated with it—in the interest of making their training more accessible. So how is it, then, that something like ChatGPT can get as far as it does with language? The basic answer, I think, is that language is at a fundamental level somehow simpler than it seems. And this means that ChatGPT—even with its ultimately straightforward neural net structure—is successfully able to “capture the essence” of human language and the thinking behind it. And moreover, in its training, ChatGPT has somehow “implicitly discovered” whatever regularities in language (and thinking) make this possible. The success of ChatGPT is, I think, giving us evidence of a fundamental and important piece of science: it’s suggesting that we can expect there to be major new “laws of language”—and effectively “laws of thought”—out there to discover. In ChatGPT—built as it is as a neural net—those laws are at best implicit. But if we could somehow make the laws explicit, there’s the potential to do the kinds of things ChatGPT does in vastly more direct, efficient—and transparent—ways. But, OK, so what might these laws be like? Ultimately they must give us some kind of prescription for how language—and the things we say with it—are put together. Later we’ll discuss how “looking inside ChatGPT” may be able to give us some hints about this, and how what we know from building computational language suggests a path forward. But first let’s discuss two long-known examples of what amount to “laws of language”—and how they relate to the operation of ChatGPT. The first is the syntax of language. Language is not just a random jumble of words. Instead, there are (fairly) definite grammatical rules for how words of different kinds can be put together: in English, for example, nouns can be preceded by adjectives and followed by verbs, but typically two nouns can’t be right next to each other. Such grammatical structure can (at least approximately) be captured by a set of rules that define how what amount to “parse trees” can be put together: ChatGPT doesn’t have any explicit “knowledge” of such rules. But somehow in its training it implicitly “discovers” them—and then seems to be good at following them. So how does this work? At a “big picture” level it’s not clear. But to get some insight it’s perhaps instructive to look at a much simpler example. Consider a “language” formed from sequences of (’s and )’s, with a grammar that specifies that parentheses should always be balanced, as represented by a parse tree like: Can we train a neural net to produce “grammatically correct” parenthesis sequences? There are various ways to handle sequences in neural nets, but let’s use transformer nets, as ChatGPT does. And given a simple transformer net, we can start feeding it grammatically correct parenthesis sequences as training examples. A subtlety (which actually also appears in ChatGPT’s generation of human language) is that in addition to our “content tokens” (here “(” and “)”) we have to include an “End” token, that’s generated to indicate that the output shouldn’t continue any further (i.e. for ChatGPT, that one’s reached the “end of the story”). If we set up a transformer net with just one attention block with 8 heads and feature vectors of length 128 (ChatGPT also uses feature vectors of length 128, but has 96 attention blocks, each with 96 heads) then it doesn’t seem possible to get it to learn much about parenthesis language. But with 2 attention heads, the learning process seems to converge—at least after 10 million or so examples have been given (and, as is common with transformer nets, showing yet more examples just seems to degrade its performance). So with this network, we can do the analog of what ChatGPT does, and ask for probabilities for what the next token should be—in a parenthesis sequence: And in the first case, the network is “pretty sure” that the sequence can’t end here—which is good, because if it did, the parentheses would be left unbalanced. In the second case, however, it “correctly recognizes” that the sequence can end here, though it also “points out” that it’s possible to “start again”, putting down a “(”, presumably with a “)” to follow. But, oops, even with its 400,000 or so laboriously trained weights, it says there’s a 15% probability to have “)” as the next token—which isn’t right, because that would necessarily lead to an unbalanced parenthesis. Here’s what we get if we ask the network for the highest-probability completions for progressively longer sequences of (’s: And, yes, up to a certain length the network does just fine. But then it starts failing. It’s a pretty typical kind of thing to see in a “precise” situation like this with a neural net (or with machine learning in general). Cases that a human “can solve in a glance” the neural net can solve too. But cases that require doing something “more algorithmic” (e.g. explicitly counting parentheses to see if they’re closed) the neural net tends to somehow be “too computationally shallow” to reliably do. (By the way, even the full current ChatGPT has a hard time correctly matching parentheses in long sequences.) So what does this mean for things like ChatGPT and the syntax of a language like English? The parenthesis language is “austere”—and much more of an “algorithmic story”. But in English it’s much more realistic to be able to “guess” what’s grammatically going to fit on the basis of local choices of words and other hints. And, yes, the neural net is much better at this—even though perhaps it might miss some “formally correct” case that, well, humans might miss as well. But the main point is that the fact that there’s an overall syntactic structure to the language—with all the regularity that implies—in a sense limits “how much” the neural net has to learn. And a key “natural-science-like” observation is that the transformer architecture of neural nets like the one in ChatGPT seems to successfully be able to learn the kind of nested-tree-like syntactic structure that seems to exist (at least in some approximation) in all human languages. Syntax provides one kind of constraint on language. But there are clearly more. A sentence like “Inquisitive electrons eat blue theories for fish” is grammatically correct but isn’t something one would normally expect to say, and wouldn’t be considered a success if ChatGPT generated it—because, well, with the normal meanings for the words in it, it’s basically meaningless. But is there a general way to tell if a sentence is meaningful? There’s no traditional overall theory for that. But it’s something that one can think of ChatGPT as having implicitly “developed a theory for” after being trained with billions of (presumably meaningful) sentences from the web, etc. What might this theory be like? Well, there’s one tiny corner that’s basically been known for two millennia, and that’s logic. And certainly in the syllogistic form in which Aristotle discovered it, logic is basically a way of saying that sentences that follow certain patterns are reasonable, while others are not. Thus, for example, it’s reasonable to say “All X are Y. This is not Y, so it’s not an X” (as in “All fishes are blue. This is not blue, so it’s not a fish.”). And just as one can somewhat whimsically imagine that Aristotle discovered syllogistic logic by going (“machine-learning-style”) through lots of examples of rhetoric, so too one can imagine that in the training of ChatGPT it will have been able to “discover syllogistic logic” by looking at lots of text on the web, etc. (And, yes, while one can therefore expect ChatGPT to produce text that contains “correct inferences” based on things like syllogistic logic, it’s a quite different story when it comes to more sophisticated formal logic—and I think one can expect it to fail here for the same kind of reasons it fails in parenthesis matching.) But beyond the narrow example of logic, what can be said about how to systematically construct (or recognize) even plausibly meaningful text? Yes, there are things like Mad Libs that use very specific “phrasal templates”. But somehow ChatGPT implicitly has a much more general way to do it. And perhaps there’s nothing to be said about how it can be done beyond “somehow it happens when you have 175 billion neural net weights”. But I strongly suspect that there’s a much simpler and stronger story. Meaning Space and Semantic Laws of Motion We discussed above that inside ChatGPT any piece of text is effectively represented by an array of numbers that we can think of as coordinates of a point in some kind of “linguistic feature space”. So when ChatGPT continues a piece of text this corresponds to tracing out a trajectory in linguistic feature space. But now we can ask what makes this trajectory correspond to text we consider meaningful. And might there perhaps be some kind of “semantic laws of motion” that define—or at least constrain—how points in linguistic feature space can move around while preserving “meaningfulness”? So what is this linguistic feature space like? Here’s an example of how single words (here, common nouns) might get laid out if we project such a feature space down to 2D: We saw another example above based on words representing plants and animals. But the point in both cases is that “semantically similar words” are placed nearby. As another example, here’s how words corresponding to different parts of speech get laid out: Of course, a given word doesn’t in general just have “one meaning” (or necessarily correspond to just one part of speech). And by looking at how sentences containing a word lay out in feature space, one can often “tease apart” different meanings—as in the example here for the word “crane” (bird or machine?): OK, so it’s at least plausible that we can think of this feature space as placing “words nearby in meaning” close in this space. But what kind of additional structure can we identify in this space? Is there for example some kind of notion of “parallel transport” that would reflect “flatness” in the space? One way to get a handle on that is to look at analogies: And, yes, even when we project down to 2D, there’s often at least a “hint of flatness”, though it’s certainly not universally seen. So what about trajectories? We can look at the trajectory that a prompt for ChatGPT follows in feature space—and then we can see how ChatGPT continues that: There’s certainly no “geometrically obvious” law of motion here. And that’s not at all surprising; we fully expect this to be a considerably more complicated story. And, for example, it’s far from obvious that even if there is a “semantic law of motion” to be found, what kind of embedding (or, in effect, what “variables”) it’ll most naturally be stated in. In the picture above, we’re showing several steps in the “trajectory”—where at each step we’re picking the word that ChatGPT considers the most probable (the “zero temperature” case). But we can also ask what words can “come next” with what probabilities at a given point: And what we see in this case is that there’s a “fan” of high-probability words that seems to go in a more or less definite direction in feature space. What happens if we go further? Here are the successive “fans” that appear as we “move along” the trajectory: Here’s a 3D representation, going for a total of 40 steps: And, yes, this seems like a mess—and doesn’t do anything to particularly encourage the idea that one can expect to identify “mathematical-physics-like” “semantic laws of motion” by empirically studying “what ChatGPT is doing inside”. But perhaps we’re just looking at the “wrong variables” (or wrong coordinate system) and if only we looked at the right one, we’d immediately see that ChatGPT is doing something “mathematical-physics-simple” like following geodesics. But as of now, we’re not ready to “empirically decode” from its “internal behavior” what ChatGPT has “discovered” about how human language is “put together”. Semantic Grammar and the Power of Computational Language What does it take to produce “meaningful human language”? In the past, we might have assumed it could be nothing short of a human brain. But now we know it can be done quite respectably by the neural net of ChatGPT. Still, maybe that’s as far as we can go, and there’ll be nothing simpler—or more human understandable—that will work. But my strong suspicion is that the success of ChatGPT implicitly reveals an important “scientific” fact: that there’s actually a lot more structure and simplicity to meaningful human language than we ever knew—and that in the end there may be even fairly simple rules that describe how such language can be put together. As we mentioned above, syntactic grammar gives rules for how words corresponding to things like different parts of speech can be put together in human language. But to deal with meaning, we need to go further. And one version of how to do this is to think about not just a syntactic grammar for language, but also a semantic one. For purposes of syntax, we identify things like nouns and verbs. But for purposes of semantics, we need “finer gradations”. So, for example, we might identify the concept of “moving”, and the concept of an “object” that “maintains its identity independent of location”. There are endless specific examples of each of these “semantic concepts”. But for the purposes of our semantic grammar, we’ll just have some general kind of rule that basically says that “objects” can “move”. There’s a lot to say about how all this might work (some of which I’ve said before). But I’ll content myself here with just a few remarks that indicate some of the potential path forward. It’s worth mentioning that even if a sentence is perfectly OK according to the semantic grammar, that doesn’t mean it’s been realized (or even could be realized) in practice. “The elephant traveled to the Moon” would doubtless “pass” our semantic grammar, but it certainly hasn’t been realized (at least yet) in our actual world—though it’s absolutely fair game for a fictional world. When we start talking about “semantic grammar” we’re soon led to ask “What’s underneath it?” What “model of the world” is it assuming? A syntactic grammar is really just about the construction of language from words. But a semantic grammar necessarily engages with some kind of “model of the world”—something that serves as a “skeleton” on top of which language made from actual words can be layered. Until recent times, we might have imagined that (human) language would be the only general way to describe our “model of the world”. Already a few centuries ago there started to be formalizations of specific kinds of things, based particularly on mathematics. But now there’s a much more general approach to formalization: computational language. And, yes, that’s been my big project over the course of more than four decades (as now embodied in the Wolfram Language): to develop a precise symbolic representation that can talk as broadly as possible about things in the world, as well as abstract things that we care about. And so, for example, we have symbolic representations for cities and molecules and images and neural networks, and we have built-in knowledge about how to compute about those things. And, after decades of work, we’ve covered a lot of areas in this way. But in the past, we haven’t particularly dealt with “everyday discourse”. In “I bought two pounds of apples” we can readily represent (and do nutrition and other computations on) the “two pounds of apples”. But we don’t (quite yet) have a symbolic representation for “I bought”. It’s all connected to the idea of semantic grammar—and the goal of having a generic symbolic “construction kit” for concepts, that would give us rules for what could fit together with what, and thus for the “flow” of what we might turn into human language. But let’s say we had this “symbolic discourse language”. What would we do with it? We could start off doing things like generating “locally meaningful text”. But ultimately we’re likely to want more “globally meaningful” results—which means “computing” more about what can actually exist or happen in the world (or perhaps in some consistent fictional world). Right now in Wolfram Language we have a huge amount of built-in computational knowledge about lots of kinds of things. But for a complete symbolic discourse language we’d have to build in additional “calculi” about general things in the world: if an object moves from A to B and from B to C, then it’s moved from A to C, etc. Given a symbolic discourse language we might use it to make “standalone statements”. But we can also use it to ask questions about the world, “Wolfram|Alpha style”. Or we can use it to state things that we “want to make so”, presumably with some external actuation mechanism. Or we can use it to make assertions—perhaps about the actual world, or perhaps about some specific world we’re considering, fictional or otherwise. Human language is fundamentally imprecise, not least because it isn’t “tethered” to a specific computational implementation, and its meaning is basically defined just by a “social contract” between its users. But computational language, by its nature, has a certain fundamental precision—because in the end what it specifies can always be “unambiguously executed on a computer”. Human language can usually get away with a certain vagueness. (When we say “planet” does it include exoplanets or not, etc.?) But in computational language we have to be precise and clear about all the distinctions we’re making. It’s often convenient to leverage ordinary human language in making up names in computational language. But the meanings they have in computational language are necessarily precise—and might or might not cover some particular connotation in typical human language usage. How should one figure out the fundamental “ontology” suitable for a general symbolic discourse language? Well, it’s not easy. Which is perhaps why little has been done in these since the primitive beginnings Aristotle made more than two millennia ago. But it really helps that today we now know so much about how to think about the world computationally (and it doesn’t hurt to have a “fundamental metaphysics” from our Physics Project and the idea of the ruliad). But what does all this mean in the context of ChatGPT? From its training ChatGPT has effectively “pieced together” a certain (rather impressive) quantity of what amounts to semantic grammar. But its very success gives us a reason to think that it’s going to be feasible to construct something more complete in computational language form. And, unlike what we’ve so far figured out about the innards of ChatGPT, we can expect to design the computational language so that it’s readily understandable to humans. When we talk about semantic grammar, we can draw an analogy to syllogistic logic. At first, syllogistic logic was essentially a collection of rules about statements expressed in human language. But (yes, two millennia later) when formal logic was developed, the original basic constructs of syllogistic logic could now be used to build huge “formal towers” that include, for example, the operation of modern digital circuitry. And so, we can expect, it will be with more general semantic grammar. At first, it may just be able to deal with simple patterns, expressed, say, as text. But once its whole computational language framework is built, we can expect that it will be able to be used to erect tall towers of “generalized semantic logic”, that allow us to work in a precise and formal way with all sorts of things that have never been accessible to us before, except just at a “ground-floor level” through human language, with all its vagueness. We can think of the construction of computational language—and semantic grammar—as representing a kind of ultimate compression in representing things. Because it allows us to talk about the essence of what’s possible, without, for example, dealing with all the “turns of phrase” that exist in ordinary human language. And we can view the great strength of ChatGPT as being something a bit similar: because it too has in a sense “drilled through” to the point where it can “put language together in a semantically meaningful way” without concern for different possible turns of phrase. So what would happen if we applied ChatGPT to underlying computational language? The computational language can describe what’s possible. But what can still be added is a sense of “what’s popular”—based for example on reading all that content on the web. But then—underneath—operating with computational language means that something like ChatGPT has immediate and fundamental access to what amount to ultimate tools for making use of potentially irreducible computations. And that makes it a system that can not only “generate reasonable text”, but can expect to work out whatever can be worked out about whether that text actually makes “correct” statements about the world—or whatever it’s supposed to be talking about. So … What Is ChatGPT Doing, and Why Does It Work? The basic concept of ChatGPT is at some level rather simple. Start from a huge sample of human-created text from the web, books, etc. Then train a neural net to generate text that’s “like this”. And in particular, make it able to start from a “prompt” and then continue with text that’s “like what it’s been trained with”. As we’ve seen, the actual neural net in ChatGPT is made up of very simple elements—though billions of them. And the basic operation of the neural net is also very simple, consisting essentially of passing input derived from the text it’s generated so far “once through its elements” (without any loops, etc.) for every new word (or part of a word) that it generates. But the remarkable—and unexpected—thing is that this process can produce text that’s successfully “like” what’s out there on the web, in books, etc. And not only is it coherent human language, it also “says things” that “follow its prompt” making use of content it’s “read”. It doesn’t always say things that “globally make sense” (or correspond to correct computations)—because (without, for example, accessing the “computational superpowers” of Wolfram|Alpha) it’s just saying things that “sound right” based on what things “sounded like” in its training material. The specific engineering of ChatGPT has made it quite compelling. But ultimately (at least until it can use outside tools) ChatGPT is “merely” pulling out some “coherent thread of text” from the “statistics of conventional wisdom” that it’s accumulated. But it’s amazing how human-like the results are. And as I’ve discussed, this suggests something that’s at least scientifically very important: that human language (and the patterns of thinking behind it) are somehow simpler and more “law like” in their structure than we thought. ChatGPT has implicitly discovered it. But we can potentially explicitly expose it, with semantic grammar, computational language, etc. What ChatGPT does in generating text is very impressive—and the results are usually very much like what we humans would produce. So does this mean ChatGPT is working like a brain? Its underlying artificial-neural-net structure was ultimately modeled on an idealization of the brain. And it seems quite likely that when we humans generate language many aspects of what’s going on are quite similar. When it comes to training (AKA learning) the different “hardware” of the brain and of current computers (as well as, perhaps, some undeveloped algorithmic ideas) forces ChatGPT to use a strategy that’s probably rather different (and in some ways much less efficient) than the brain. And there’s something else as well: unlike even in typical algorithmic computation, ChatGPT doesn’t internally “have loops” or “recompute on data”. And that inevitably limits its computational capability—even with respect to current computers, but definitely with respect to the brain. It’s not clear how to “fix that” and still maintain the ability to train the system with reasonable efficiency. But to do so will presumably allow a future ChatGPT to do even more “brain-like things”. Of course, there are plenty of things that brains don’t do so well—particularly involving what amount to irreducible computations. And for these both brains and things like ChatGPT have to seek “outside tools”—like Wolfram Language. But for now it’s exciting to see what ChatGPT has already been able to do. At some level it’s a great example of the fundamental scientific fact that large numbers of simple computational elements can do remarkable and unexpected things. But it also provides perhaps the best impetus we’ve had in two thousand years to understand better just what the fundamental character and principles might be of that central feature of the human condition that is human language and the processes of thinking behind it. Thanks I’ve been following the development of neural nets now for about 43 years, and during that time I’ve interacted with many people about them. Among them—some from long ago, some from recently, and some across many years—have been: Giulio Alessandrini, Dario Amodei, Etienne Bernard, Taliesin Beynon, Sebastian Bodenstein, Greg Brockman, Jack Cowan, Pedro Domingos, Jesse Galef, Roger Germundsson, Robert Hecht-Nielsen, Geoff Hinton, John Hopfield, Yann LeCun, Jerry Lettvin, Jerome Louradour, Marvin Minsky, Eric Mjolsness, Cayden Pierce, Tomaso Poggio, Matteo Salvarezza, Terry Sejnowski, Oliver Selfridge, Gordon Shaw, Jonas Sjöberg, Ilya Sutskever, Gerry Tesauro and Timothee Verdier. For help with this piece, I’d particularly like to thank Giulio Alessandrini and Brad Klee. Additional Resources “Machine Learning for Middle Schoolers” » Introduction to Machine Learning » Wolfram U Machine Learning Courses » Posted in: Artificial Intelligence, Language and Communication, New Technology Please enter your comment (at least 5 characters). Name (required) Email (will not be published; required) Please enter your name. Please enter a valid email address. Website 1 comment Wow… THAT was a very long read. Question: ChatGPT seems to work well with English. Does it also work well with, say, Chinese or Russian, or dialects with very different grammar rules? Johhny February 15, 2023 at 7:55 pm Related Writings What Is ChatGPT Doing … and Why Does It Work? February 14, 2023 Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT January 9, 2023 The Latest from Our R&D Pipeline: Version 13.2 of Wolfram Language & Mathematica December 14, 2022 Launching Version 13.1 of Wolfram Language & Mathematica 🙀🤠🥳 June 29, 2022 Recent Writings What Is ChatGPT Doing … and Why Does It Work? February 14, 2023 Computational Foundations for the Second Law of Thermodynamics February 3, 2023 A 50-Year Quest: My Personal Journey with the Second Law of Thermodynamics February 2, 2023 How Did We Get Here? 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What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings
What Is ChatGPT Doing Why Does It Work?Stephen Wolfram Writings Stephen Wolfram Writings ABOUT WRITINGS PUBLICATIONS MEDIA SCRAPBOOK CONTACT Recent Categories Artificial IntelligenceBig PictureCompanies BusinessComputational ScienceComputational ThinkingData ScienceEducationFuture PerspectivesHistorical PerspectivesLanguage CommunicationLife TimesLife ScienceMathematicaMathematicsNew Kind ScienceNew TechnologyPersonal AnalyticsPhilosophyPhysicsRuliologySoftware DesignWolframAlphaWolframOneWolfram LanguageOther Contents Top Its Just Adding One Word Time Where Do Probabilities Come From? What Is Model? Models HumanLike Tasks Neural Nets Machine Learning, Training Neural Nets The Practice Lore Neural Net Training Surely Network Thats Big Enough Can Do Anything The Concept Embeddings Inside ChatGPT The Training ChatGPT Beyond Basic Training What Really Lets ChatGPT Work? Meaning Space Semantic Laws Motion Semantic Grammar Power Computational Language So ... What Is ChatGPT Doing, Why Does It Work? Thanks Additional Resources What Is ChatGPT Doing Why Does It Work? What Is ChatGPT Doing Why Does It Work? February 14, 2023 See also: WolframAlpha Way Bring Computational Knowledge Superpowers ChatGPTA discussion history neural nets Its Just Adding One Word Time That ChatGPT automatically generate reads superficially like humanwritten text remarkable, unexpected. But it? And work? My purpose rough outline whats going inside ChatGPTand explore producing consider meaningful text. I outset Im going focus big picture whats going onand Ill mention engineering details, I wont deeply them. And essence Ill applies current large language models [LLMs] ChatGPT. The thing explain ChatGPT fundamentally trying produce reasonable continuation text got far, reasonable mean expect write seeing people written billions webs, etc. So lets weve got text The best thing AI ability to. Imagine scanning billions humanwritten text web digitized books finding instances textthen seeing word comes fraction time. ChatGPT effectively like this, Ill explain doesnt look literal text; looks things certain sense match meaning. But end result produces ranked list words follow, probabilities: And remarkable thing ChatGPT like write essay essentially asking given text far, word be?and time adding word. More precisely, Ill explain, adding token, word, new words. But, OK, step gets list words probabilities. But actually pick add essay writing? One think highestranked word i.e. highest probability assigned. But bit voodoo begins creep in. Because reasonthat maybe day scientificstyle understanding ofif pick highestranked word, typically flat essay, creativity repeats word word. But random pick lowerranked words, interesting essay. The fact theres randomness means use prompt multiple times, likely different essays time. And, keeping idea voodoo, theres particular socalled temperature parameter determines lowerranked words used, essay generation, turns temperature 0.8 best. Its worth emphasizing theres theory here; matter whats work practice. And example concept temperature exponential distributions familiar statistical physics happen used, theres physical connectionat far know. Before I explain purposes exposition Im going use thats ChatGPT; instead Ill usually work simpler GPT2 system, nice feature small able run standard desktop computer. And essentially I Ill able include explicit Wolfram Language code immediately run computer. Click picture copy code it. For example, heres table probabilities above. First, retrieve underlying language model neural net: Later on, look inside neural net, talk works. But apply net model black box text far, ask 5 words probability model says follow: This takes result makes explicit formatted dataset: Heres happens repeatedly applies modelat step adding word probability specified code decision model: What happens goes longer? In zero temperature case comes soon gets confused repetitive: But instead picking word randomly picks nontop words randomness corresponding temperature 0.8? Again build text: And time this, different random choices made, text differentas 5 examples: Its worth pointing step lot possible words choose temperature 0.8, probabilities fall quickly and, yes, straight line loglog plot corresponds n1 powerlaw decay thats characteristic general statistics language: So happens goes longer? Heres random example. Its better topword zero temperature case, best bit weird: This simplest GPT2 model 2019. With newer bigger GPT3 models results better. Heres topword zero temperature text produced prompt, biggest GPT3 model: And heres random example temperature 0.8: Where Do Probabilities Come From? OK, ChatGPT picks word based probabilities. But probabilities come from? Lets start simpler problem. Lets consider generating English text letter word time. How work probability letter be? A minimal thing sample English text, calculate different letters occur it. So, example, counts letters Wikipedia article cats: And thing dogs: The results similar, doubt common dogs article because, all, occurs word dog itself. Still, large sample English text expect eventually fairly consistent results: Heres sample generate sequence letters probabilities: We break words adding spaces letters certain probability: We slightly better job making words forcing distribution word lengths agree English: We didnt happen actual words here, results looking slightly better. To further, though, need pick letter separately random. And, example, know q, letter basically u. Heres plot probabilities letters own: And heres plot shows probabilities pairs letters 2grams typical English text. The possible letters shown , second letters : And here, example, q column blank zero probability u row. OK, instead generating words single letter time, lets generate looking letters time, 2gram probabilities. Heres sample resultwhich happens include actual words: With sufficiently English text pretty good estimates probabilities single letters pairs letters 2grams, longer runs letters. And generate random words progressively longer ngram probabilities, progressively realistic: But lets assumemore ChatGPT doesthat dealing words, letters. There 40,000 reasonably commonly words English. And looking large corpus English text million books, altogether billion words, estimate common word is. And start generating sentences, word independently picked random, probability appears corpus. Heres sample get: Not surprisingly, nonsense. So better? Just like letters, start taking account probabilities single words probabilities pairs longer ngrams words. Doing pairs, 5 examples get, cases starting word cat: Its getting slightly sensible looking. And imagine able use sufficiently long ngrams wed basically ChatGPTin sense wed generate essaylength sequences words correct overall essay probabilities. But heres problem: isnt close English text thats written able deduce probabilities. In crawl web billion words; books digitized billion words. But 40,000 common words, number possible 2grams 1.6 billionand number possible 3grams 60 trillion. So theres way estimate probabilities text thats there. And time essay fragments 20 words, number possibilities larger number particles universe, sense written down. So do? The big idea model lets estimate probabilities sequences occureven weve explicitly seen sequences corpus text weve looked at. And core ChatGPT precisely socalled large language model LLM thats built good job estimating probabilities. What Is Model? Say want know Galileo late 1500s long going cannon ball dropped floor Tower Pisa hit ground. Well, measure case table results. Or essence theoretical science: model gives kind procedure computing answer measuring remembering case. Lets imagine somewhat idealized data long cannon ball takes fall floors: How figure long going fall floor dont explicitly data about? In particular case, use known laws physics work out. But weve got data, dont know underlying laws govern it. Then mathematical guess, like use straight line model: We pick different straight lines. But thats average closest data given. And straight line estimate time fall floor. How know try straight line here? At level didnt. Its thats mathematically simple, fact lots data measure turns fit mathematically simple things. We try mathematically complicatedsay b x c x2and case better: Things wrong, though. Like heres best bx c sinx: It worth understanding theres modelless model. Any model use particular underlying structurethen certain set knobs turn i.e. parameters set fit data. And case ChatGPT, lots knobs usedactually, 175 billion them. But remarkable thing underlying structure ChatGPTwith parametersis sufficient model computes nextword probabilities reasonable essaylength pieces text. Models HumanLike Tasks The example gave involves making model numerical data essentially comes simple physicswhere weve known centuries simple mathematics applies. But ChatGPT model humanlanguage text kind produced human brain. And like dont like simple mathematics. So model like? Before talk language, lets talk humanlike task: recognizing images. And simple example this, lets consider images digits and, yes, classic machine learning example: One thing bunch sample images digit: Then image given input corresponds particular digit explicit pixelbypixel comparison samples have. But humans certainly betterbecause recognize digits, theyre example handwritten, sorts modifications distortions: When model numerical data above, able numerical value x given, compute b x particular b. So treat graylevel value pixel variable xi function variables thatwhen evaluatedtells digit image of? It turns possible construct function. Not surprisingly, particularly simple, though. And typical example involve half million mathematical operations. But end result feed collection pixel values image function, come number specifying digit image of. Later, talk function constructed, idea neural nets. But lets treat function black box, feed images of, say, handwritten digits arrays pixel values numbers correspond to: But whats going here? Lets progressively blur digit. For little function recognizes it, 2. But soon loses it, starts giving wrong result: But wrong result? In case, know got images blurring 2. But goal produce model humans recognizing images, real question ask human presented blurred images, knowing came from. And good model results function typically agree human say. And nontrivial scientific fact imagerecognition task like basically know construct functions this. Can mathematically prove work? Well, no. Because wed mathematical theory humans doing. Take 2 image change pixels. We imagine pixels place consider image 2. But far go? Its question human visual perception. And, yes, answer doubt different bees octopusesand potentially utterly different putative aliens. Neural Nets OK, typical models tasks like image recognition actually work? The popularand successfulcurrent approach uses neural nets. Inventedin form remarkably close use todayin 1940s, neural nets thought simple idealizations brains work. In human brains 100 billion neurons nerve cells, capable producing electrical pulse thousand times second. The neurons connected complicated net, neuron treelike branches allowing pass electrical signals thousands neurons. And rough approximation, given neuron produces electrical pulse given moment depends pulses received neuronswith different connections contributing different weights. When image whats happening photons light image fall photoreceptor cells eyes produce electrical signals nerve cells. These nerve cells connected nerve cells, eventually signals sequence layers neurons. And process recognize image, eventually forming thought seeing 2 maybe end like saying word loud. The blackbox function previous section mathematicized version neural net. It happens 11 layers 4 core layers: Theres particularly theoretically derived neural net; thatback 1998was constructed piece engineering, work. Of course, thats different brains produced process biological evolution. OK, neural net like recognize things? The key notion attractors. Imagine weve got handwritten images 1s 2s: We want 1s attracted place, 2s attracted place. Or, different way, image closer 1 2, want end 1 place vice versa. As straightforward analogy, lets certain positions plane, indicated dots reallife setting positions coffee shops. Then imagine starting point plane wed want end closest dot i.e. wed closest coffee shop. We represent dividing plane regions attractor basins separated idealized watersheds: We think implementing kind recognition task like identifying digit given image looks likebut just, directly, seeing dot given point closest to. The Voronoi diagram setup showing separates points 2D Euclidean space; digit recognition task thought similarbut 784dimensional space formed gray levels pixels image. So neural net recognition task? Lets consider simple case: Our goal input corresponding position x,yand recognize whichever points closest to. Or, words, want neural net compute function x,y like: So neural net? Ultimately neural net connected collection idealized neuronsusually arranged layerswith simple example being: Each neuron effectively set evaluate simple numerical function. And use network, simply feed numbers like coordinates x top, neurons layer evaluate functions feed results forward networkeventually producing final result bottom: In traditional biologically inspired setup neuron effectively certain set incoming connections neurons previous layer, connection assigned certain weight positive negative number. The value given neuron determined multiplying values previous neurons corresponding weights, adding multiplying constantand finally applying thresholding activation function. In mathematical terms, neuron inputs x = x1, x2 compute f[w . x b], weights w constant b generally chosen differently neuron network; function f usually same. Computing w . x b matter matrix multiplication addition. The activation function f introduces nonlinearity ultimately leads nontrivial behavior. Various activation functions commonly used; use Ramp ReLU: For task want neural net perform or, equivalently, overall function want evaluate different choices weights. Andas discuss laterthese weights normally determined training neural net machine learning examples outputs want. Ultimately, neural net corresponds overall mathematical functionthough messy write out. For example above, be: The neural net ChatGPT corresponds mathematical function like thisbut effectively billions terms. But lets individual neurons. Here examples functions neuron inputs representing coordinates x compute choices weights constants Ramp activation function: But larger network above? Well, heres computes: Its right , close nearest point function showed above. Lets happens neural nets. In case, explain later, machine learning best choice weights. Then showing neural net weights computes: Bigger networks generally better approximating function aiming for. And middle attractor basin typically exactly answer want. But boundarieswhere neural net hard time making mindthings messier. With simple mathematicalstyle recognition task clear right answer is. But problem recognizing handwritten digits, clear. What wrote 2 badly looked like 7, etc.? Still, ask neural net distinguishes digitsand gives indication: Can mathematically network makes distinctions? Not really. Its neural net does. But turns normally agree fairly distinctions humans make. Lets elaborate example. Lets images cats dogs. And neural net thats trained distinguish them. Heres examples: Now clear right answer is. What dog dressed cat suit? Etc. Whatever input given, neural net generating answer. And, turns out, way thats reasonably consistent humans do. As Ive said above, thats fact derive principles. Its thats empirically true, certain domains. But key reason neural nets useful: capture humanlike way things. Show picture cat, ask Why cat?. Maybe youd start saying Well, I pointy ears, etc. But easy explain recognized image cat. Its brain figured out. But brain theres way inside figured out. What artificial neural net? Well, straightforward neuron picture cat. But basic visualization usually difficult. In final net nearest point problem 17 neurons. In net recognizing handwritten digits 2190. And net recognize cats dogs 60,650. Normally pretty difficult visualize amounts 60,650dimensional space. But network set deal images, layers neurons organized arrays, like arrays pixels looking at. And typical cat image represent states neurons layer collection derived imagesmany readily interpret things like cat background, outline cat: By 10th layer harder interpret whats going on: But general neural net picking certain features maybe pointy ears them, determine image of. But features ones nameslike pointy ears? Mostly not. Are brains similar features? Mostly dont know. But notable layers neural net like showing pick aspects images like edges objects similar ones know picked level visual processing brains. But lets want theory cat recognition neural nets. We say: Look, particular net itand immediately gives sense hard problem and, example, neurons layers needed. But dont way narrative description network doing. And maybe thats truly computationally irreducible, theres general way explicitly tracing step. Or maybe havent figured science, identified natural laws allow summarize whats going on. Well encounter kinds issues talk generating language ChatGPT. And clear ways summarize doing. But richness language experience allow images. Machine Learning, Training Neural Nets Weve talking far neural nets know particular tasks. But makes neural nets useful presumably brains principle sorts tasks, incrementally trained examples tasks. When neural net distinguish cats dogs dont effectively write program explicitly finds whiskers; instead lots examples whats cat whats dog, network machine learn distinguish them. And point trained network generalizes particular examples shown. Just weve seen above, isnt simply network recognizes particular pixel pattern example cat image shown; neural net manages distinguish images basis consider kind general catness. So neural net training actually work? Essentially trying weights neural net successfully reproduce examples weve given. And relying neural net interpolate generalize examples reasonable way. Lets look problem simpler nearestpoint above. Lets try neural net learn function: For task, need network input output, like: But weights, etc. using? With possible set weights neural net compute function. And, example, heres randomly chosen sets weights: And, yes, plainly cases close reproducing function want. So weights reproduce function? The basic idea supply lots input output examples learn fromand try weights reproduce examples. Heres result progressively examples: At stage training weights network progressively adjustedand eventually network successfully reproduces function want. So adjust weights? The basic idea stage far away getting function wantand update weights way closer. To far away compute whats usually called loss function cost function. Here simple L2 loss function thats sum squares differences values get, true values. And training process progresses, loss function progressively decreases following certain learning curve thats different different tasksuntil reach point network good approximation successfully reproduces function want: Alright, essential piece explain weights adjusted reduce loss function. As weve said, loss function gives distance values weve got, true values. But values weve got determined stage current version neural netand weights it. But imagine weights variablessay wi. We want adjust values variables minimize loss depends them. For example, imagine incredible simplification typical neural nets practice weights w1 w2. Then loss function w1 w2 looks like this: Numerical analysis provides variety techniques finding minimum cases like this. But typical approach progressively follow path steepest descent previous w1, w2 had: Like water flowing mountain, thats guaranteed procedure end local minimum surface mountain lake; reach ultimate global minimum. Its obvious feasible path steepest descent weight landscape. But calculus comes rescue. As mentioned above, think neural net computing mathematical functionthat depends inputs, weights. But consider differentiating respect weights. It turns chain rule calculus effect lets unravel operations successive layers neural net. And result canat local approximationinvert operation neural net, progressively weights minimize loss associated output. The picture shows kind minimization need unrealistically simple case 2 weights. But turns weights ChatGPT uses 175 billion possible minimization, level approximation. And fact big breakthrough deep learning occurred 2011 associated discovery sense easier approximate minimization lots weights involved fairly few. In wordssomewhat counterintuitivelyit easier solve complicated problems neural nets simpler ones. And rough reason lot weight variables highdimensional space lots different directions lead minimumwhereas fewer variables easier end getting stuck local minimum mountain lake theres direction out. Its worth pointing typical cases different collections weights neural nets pretty performance. And usually practical neural net training lots random choices madethat lead differentbutequivalent solutions, like these: But different solution slightly different behavior. And ask, say, extrapolation outside region gave training examples, dramatically different results: But right? Theres way say. Theyre consistent observed data. But correspond different innate ways think outside box. And reasonable humans others. The Practice Lore Neural Net Training Particularly past decade, thereve advances art training neural nets. And, yes, basically art. Sometimesespecially retrospectone glimmer scientific explanation thats done. But things discovered trial error, adding ideas tricks progressively built significant lore work neural nets. There key parts. First, theres matter architecture neural net use particular task. Then theres critical issue ones going data train neural net. And increasingly isnt dealing training net scratch: instead new net directly incorporate alreadytrained net, use net generate training examples itself. One thought particular kind task need different architecture neural net. But whats architecture work apparently different tasks. At level reminds idea universal computation Principle Computational Equivalence, but, Ill discuss later, I think reflection fact tasks typically trying neural nets humanlike onesand neural nets capture general humanlike processes. In earlier days neural nets, tended idea neural net little possible. For example, converting speech text thought analyze audio speech, break phonemes, etc. But thatat humanlike tasksits usually better try train neural net endtoend problem, letting discover necessary intermediate features, encodings, etc. itself. There idea introduce complicated individual components neural net, let effect explicitly implement particular algorithmic ideas. But again, turned worthwhile; instead, better deal simple components let organize albeit usually ways understand achieve presumably equivalent algorithmic ideas. Thats structuring ideas relevant neural nets. Thus, example, 2D arrays neurons local connections useful early stages processing images. And patterns connectivity concentrate looking sequences usefulas laterin dealing things like human language, example ChatGPT. But important feature neural nets thatlike computers generaltheyre ultimately dealing data. And current neural netswith current approaches neural net trainingspecifically deal arrays numbers. But course processing, arrays completely rearranged reshaped. And example, network identifying digits starts 2D imagelike array, quickly thickening channels, concentrating 1D array ultimately contain elements representing different possible output digits: But, OK, tell big neural net need particular task? Its art. At level key thing know hard task is. But humanlike tasks thats typically hard estimate. Yes, systematic way task mechanically computer. But hard know think tricks shortcuts allow task humanlike level vastly easily. It enumerating giant game tree mechanically play certain game; easier heuristic way achieve humanlevel play. When ones dealing tiny neural nets simple tasks explicitly here. For example, heres best able task previous section small neural nets: And net small, reproduce function want. But size, problemat trains long enough, examples. And, way, pictures illustrate piece neural net lore: away smaller network theres squeeze middle forces smaller intermediate number neurons. Its worth mentioning nointermediatelayeror socalled perceptronnetworks learn essentially linear functionsbut soon theres intermediate layer principle possible approximate function arbitrarily well, neurons, feasibly trainable typically kind regularization normalization. OK, lets ones settled certain neural net architecture. Now theres issue getting data train network with. And practical challenges neural netsand machine learning generalcenter acquiring preparing necessary training data. In cases supervised learning wants explicit examples inputs outputs expecting them. Thus, example, want images tagged whats them, attribute. And maybe explicitly throughusually great effortand tagging. But turns possible piggyback thats done, use kind proxy. And so, example, use alt tags provided images web. Or, different domain, use closed captions created videos. Orfor language translation trainingone use parallel versions webs documents exist different languages. How data need neural net train particular task? Again, hard estimate principles. Certainly requirements dramatically reduced transfer learning transfer things like lists important features learned network. But generally neural nets need lot examples train well. And tasks important piece neural net lore examples incredibly repetitive. And standard strategy neural net examples has, again. In training rounds epochs neural net slightly different state, reminding particular example useful getting remember example. And, yes, analogous usefulness repetition human memorization. But repeating example isnt enough. Its necessary neural net variations example. And feature neural net lore data augmentation variations dont sophisticated useful. Just slightly modifying images basic image processing essentially good new neural net training. And, similarly, ones run actual video, etc. training selfdriving cars, data running simulations model videogamelike environment actual realworld scenes. How like ChatGPT? Well, nice feature unsupervised learning, making easier examples train from. Recall basic task ChatGPT figure continue piece text given. So training examples piece text, mask end it, use input train fromwith output complete, unmasked piece text. Well discuss later, main point thatunlike, say, learning whats imagestheres explicit tagging needed; ChatGPT effect learn directly examples text given. OK, actual learning process neural net? In end determining weights best capture training examples given. And sorts detailed choices hyperparameter settings called weights thought parameters tweak done. There different choices loss function sum squares, sum absolute values, etc.. There different ways loss minimization far weight space step, etc.. And questions like big batch examples successive estimate loss ones trying minimize. And, yes, apply machine learning do, example, Wolfram Language automate machine learningand automatically set things like hyperparameters. But end process training characterized seeing loss progressively decreases Wolfram Language progress monitor small training: And typically sees loss decreases while, eventually flattens constant value. If value sufficiently small, training considered successful; probably sign try changing network architecture. Can tell long learning curve flatten out? Like things, approximate powerlaw scaling relationships depend size neural net data ones using. But general conclusion training neural net hardand takes lot computational effort. And practical matter, vast majority effort spent operations arrays numbers, GPUs good atwhich neural net training typically limited availability GPUs. In future, fundamentally better ways train neural netsor generally neural nets do? Almost certainly, I think. The fundamental idea neural nets create flexible computing fabric large number simple essentially identical componentsand fabric incrementally modified learn examples. In current neural nets, ones essentially ideas calculusapplied real numbersto incremental modification. But increasingly clear highprecision numbers doesnt matter; 8 bits current methods. With computational systems like cellular automata basically operate parallel individual bits clear kind incremental modification, theres reason think isnt possible. And fact, like deeplearning breakthrough 2012 incremental modification effectively easier complicated cases simple ones. Neural netsperhaps bit like brainsare set essentially fixed network neurons, whats modified strength weight connections them. Perhaps young brains significant numbers wholly new connections grow. But convenient setup biology, clear close best way achieve functionality need. And involves equivalent progressive network rewriting reminiscent Physics Project ultimately better. But framework existing neural nets theres currently crucial limitation: neural net training fundamentally sequential, effects batch examples propagated update weights. And current hardwareeven taking account GPUsmost neural net idle time training, time updated. And sense current computers tend memory separate CPUs GPUs. But brains presumably differentwith memory element i.e. neuron potentially active computational element. And set future hardware way possible training efficiently. Surely Network Thats Big Enough Can Do Anything The capabilities like ChatGPT impressive imagine going train larger larger neural networks, theyd eventually able everything. And ones concerned things readily accessible immediate human thinking, possible case. But lesson past years science things figured formal processes, arent readily accessible immediate human thinking. Nontrivial mathematics big example. But general case computation. And ultimately issue phenomenon computational irreducibility. There computations think steps do, fact reduced immediate. But discovery computational irreducibility implies doesnt work. And instead processesprobably like belowwhere work happens inevitably requires essentially tracing computational step: The kinds things normally brains presumably specifically chosen avoid computational irreducibility. It takes special effort math ones brain. And practice largely impossible think steps operation nontrivial program ones brain. But course computers. And computers readily long, computationally irreducible things. And key point theres general shortcut these. Yes, memorize lots specific examples happens particular computational system. And maybe computationally reducible patterns allow little generalization. But point computational irreducibility means guarantee unexpected wont happenand explicitly computation tell actually happens particular case. And end theres fundamental tension learnability computational irreducibility. Learning involves effect compressing data leveraging regularities. But computational irreducibility implies ultimately theres limit regularities be. As practical matter, imagine building little computational deviceslike cellular automata Turing machinesinto trainable systems like neural nets. And devices serve good tools neural netlike WolframAlpha good tool ChatGPT. But computational irreducibility implies expect inside devices learn. Or way, theres ultimate tradeoff capability trainability: want true use computational capabilities, going computational irreducibility, going trainable. And fundamentally trainable, going able sophisticated computation. For ChatGPT currently is, situation actually extreme, neural net generate token output pure feedforward network, loops, ability kind computation nontrivial control flow. Of course, wonder actually important able irreducible computations. And human history wasnt particularly important. But modern technological world built engineering makes use mathematical computationsand increasingly general computations. And look natural world, irreducible computationthat slowly understanding emulate use technological purposes. Yes, neural net certainly notice kinds regularities natural world readily notice unaided human thinking. But want work things purview mathematical computational science neural net isnt going able itunless effectively uses tool ordinary computational system. But theres potentially confusing this. In past plenty tasksincluding writing essaysthat weve assumed fundamentally hard computers. And likes ChatGPT tend suddenly think computers vastly powerfulin particular surpassing things basically able like progressively computing behavior computational systems like cellular automata. But isnt right conclusion draw. Computationally irreducible processes computationally irreducible, fundamentally hard computerseven computers readily compute individual steps. And instead conclude taskslike writing essaysthat humans do, didnt think computers do, actually sense computationally easier thought. In words, reason neural net successful writing essay writing essay turns computationally shallower problem thought. And sense takes closer theory humans manage things like writing essays, general deal language. If big neural net then, yes, able humans readily do. But wouldnt capture natural world general door tools weve fashioned natural world do. And use toolsboth practical conceptualthat allowed recent centuries transcend boundaries whats accessible pure unaided human thought, capture human purposes whats physical computational universe. The Concept Embeddings Neural netsat theyre currently set upare fundamentally based numbers. So going use work like text need way represent text numbers. And certainly start essentially ChatGPT assigning number word dictionary. But theres important ideathats example central ChatGPTthat goes that. And idea embeddings. One think embedding way try represent essence array numberswith property nearby things represented nearby numbers. And so, example, think word embedding trying lay words kind meaning space words nearby meaning appear nearby embedding. The actual embeddings usedsay ChatGPTtend involve large lists numbers. But project 2D, examples words laid embedding: And, yes, remarkably capturing typical everyday impressions. But construct embedding? Roughly idea look large amounts text 5 billion words web similar environments different words appear. So, example, alligator crocodile appear interchangeably similar sentences, means theyll placed nearby embedding. But turnip eagle wont tend appear similar sentences, theyll placed far apart embedding. But actually implement like neural nets? Lets start talking embeddings words, images. We want way characterize images lists numbers way images consider similar assigned similar lists numbers. How tell consider images similar? Well, images are, say, handwritten digits consider images similar digit. Earlier discussed neural net trained recognize handwritten digits. And think neural net set final output puts images 10 different bins, digit. But intercept whats going inside neural net final 4 decision made? We expect inside neural net numbers characterize images 4like bit 2like such. And idea pick numbers use elements embedding. So heres concept. Rather directly trying characterize image near image, instead consider welldefined task case digit recognition explicit training datathen use fact task neural net implicitly nearness decisions. So instead explicitly talk nearness images talking concrete question digit image represents, leaving neural net implicitly determine implies nearness images. So work digit recognition network? We think network consisting 11 successive layers, summarize iconically like activation functions shown separate layers: At beginning feeding layer actual images, represented 2D arrays pixel values. And endfrom layerwere getting array 10 values, think saying certain network image corresponds digits 0 9. Feed image values neurons layer are: In words, neural net point incredibly certain image 4and actually output 4 pick position neuron largest value. But look step earlier? The operation network socalled softmax tries force certainty. But thats applied values neurons are: The neuron representing 4 highest numerical value. But theres information values neurons. And expect list numbers sense characterize essence imageand provide use embedding. And so, example, 4s slightly different signature feature embeddingall different 8s: Here essentially 10 numbers characterize images. But better use that. And example digit recognition network array 500 numbers tapping preceding layer. And probably reasonable array use image embedding. If want explicit visualization image space handwritten digits need reduce dimension, effectively projecting 500dimensional vector weve got into, say, 3D space: Weve talked creating characterization embedding images based effectively identifying similarity images determining according training set correspond handwritten digit. And thing generally images training set identifies, say, 5000 common types object cat, dog, chair, image of. And way image embedding thats anchored identification common objects, generalizes according behavior neural net. And point insofar behavior aligns humans perceive interpret images, end embedding right us, useful practice humanjudgementlike tasks. OK, follow kind approach embeddings words? The key start task words readily training. And standard task word prediction. Imagine given ___ cat. Based large corpus text say, text content web, probabilities different words blank? Or, alternatively, given ___ black ___ probabilities different flanking words? How set problem neural net? Ultimately formulate terms numbers. And way assign unique number 50,000 common words English. So, example, 914, cat space 3542. And actual numbers GPT2. So ___ cat problem, input 914, 3542. What output like? Well, list 50,000 numbers effectively probabilities possible fillin words. And again, embedding, want intercept insides neural net reaches conclusionand pick list numbers occur there, think characterizing word. OK, characterizations look like? Over past 10 years thereve sequence different systems developed word2vec, GloVe, BERT, GPT, , based different neural net approach. But ultimately words characterize lists hundreds thousands numbers. In raw form, embedding vectors uninformative. For example, heres GPT2 produces raw embedding vectors specific words: If things like measure distances vectors, things like nearnesses words. Later discuss consider cognitive significance embeddings. But main point way usefully turn words neuralnetfriendly collections numbers. But actually characterizing words collections numbers; sequences words, blocks text. And inside ChatGPT thats dealing things. It takes text got far, generates embedding vector represent it. Then goal probabilities different words occur next. And represents answer list numbers essentially probabilities 50,000 possible words. Strictly, ChatGPT deal words, tokensconvenient linguistic units words, pieces like pre ing ized. Working tokens makes easier ChatGPT handle rare, compound nonEnglish words, and, sometimes, better worse, invent new words. Inside ChatGPT OK, finally ready discuss whats inside ChatGPT. And, yes, ultimately, giant neural netcurrently version socalled GPT3 network 175 billion weights. In ways neural net like ones weve discussed. But neural net thats particularly set dealing language. And notable feature piece neural net architecture called transformer. In neural nets discussed above, neuron given layer basically connected weight neuron layer before. But kind fully connected network presumably overkill ones working data particular, known structure. And thus, example, early stages dealing images, typical use socalled convolutional neural nets convnets neurons effectively laid grid analogous pixels imageand connected neurons nearby grid. The idea transformers somewhat similar sequences tokens piece text. But instead defining fixed region sequence connections, transformers instead introduce notion attentionand idea paying attention parts sequence others. Maybe day itll sense start generic neural net customization training. But critical practice modularize thingsas transformers do, probably brains do. OK, ChatGPT or, rather, GPT3 network based actually do? Recall overall goal continue text reasonable way, based seen training consists looking billions text web, etc. So given point, got certain textand goal come appropriate choice token add. It operates basic stages. First, takes sequence tokens corresponds text far, finds embedding i.e. array numbers represents these. Then operates embeddingin standard neural net way, values rippling successive layers networkto produce new embedding i.e. new array numbers. It takes array generates array 50,000 values turn probabilities different possible tokens. And, yes, happens number tokens common words English, 3000 tokens words, rest fragments. A critical point pipeline implemented neural network, weights determined endtoend training network. In words, effect overall architecture explicitly engineered; learned training data. There are, however, plenty details way architecture set upreflecting sorts experience neural net lore. Andeven definitely going weedsI think useful talk details, sense goes building like ChatGPT. First comes embedding module. Heres schematic Wolfram Language representation GPT2: The input vector n tokens represented previous section integers 1 50,000. Each tokens converted singlelayer neural net embedding vector length 768 GPT2 12,288 ChatGPTs GPT3. Meanwhile, theres secondary pathway takes sequence integer positions tokens, integers creates embedding vector. And finally embedding vectors token value token position added togetherto produce final sequence embedding vectors embedding module. Why add tokenvalue tokenposition embedding vectors together? I dont think theres particular science this. Its different things tried, work. And lore neural nets thatin senseso long setup roughly right usually possible home details sufficient training, needing understand engineering level neural net ended configuring itself. Heres embedding module does, operating string hello hello hello hello hello hello hello hello hello hello bye bye bye bye bye bye bye bye bye bye: The elements embedding vector token shown , run hello embeddings, followed run bye ones. The second array positional embeddingwith somewhatrandomlooking structure happened learned case GPT2. OK, embedding module comes main event transformer: sequence socalled attention blocks 12 GPT2, 96 ChatGPTs GPT3. Its pretty complicatedand reminiscent typical large hardtounderstand engineering systems, or, matter, biological systems. But anyway, heres schematic representation single attention block GPT2: Within attention block collection attention heads 12 GPT2, 96 ChatGPTs GPT3each operates independently different chunks values embedding vector. And, yes, dont know particular reason good idea split embedding vector, different parts mean; things thats work. OK, attention heads do? Basically theyre way looking sequence tokens i.e. text produced far, packaging past form thats useful finding token. In section talked 2gram probabilities pick words based immediate predecessors. What attention mechanism transformers allow attention earlier wordsthus potentially capturing way, say, verbs refer nouns appear words sentence. At detailed level, attention head recombine chunks embedding vectors associated different tokens, certain weights. And so, example, 12 attention heads attention block GPT2 following lookbackallthewaytothebeginningofthesequenceoftokens patterns recombination weights hello, bye string above: After processed attention heads, resulting reweighted embedding vector length 768 GPT2 length 12,288 ChatGPTs GPT3 passed standard fully connected neural net layer. Its hard handle layer doing. But heres plot 768768 matrix weights GPT2: Taking 6464 moving averages, randomwalkish structure begins emerge: What determines structure? Ultimately presumably neural net encoding features human language. But now, features unknown. In effect, opening brain ChatGPT GPT2 discovering, yes, complicated there, dont understand iteven end producing recognizable human language. OK, going attention block, weve got new embedding vectorwhich successively passed additional attention blocks total 12 GPT2; 96 GPT3. Each attention block particular pattern attention fully connected weights. Here GPT2 sequence attention weights hello, bye input, attention head: And movingaveraged matrices fully connected layers: Curiously, matrices weights different attention blocks look similar, distributions sizes weights somewhat different Gaussian: So going attention blocks net effect transformer? Essentially transform original collection embeddings sequence tokens final collection. And particular way ChatGPT works pick embedding collection, decode produce list probabilities token come next. So thats outline whats inside ChatGPT. It complicated inevitably somewhat arbitrary engineering choices, actually ultimate elements involved remarkably simple. Because end dealing neural net artificial neurons, simple operation taking collection numerical inputs, combining certain weights. The original input ChatGPT array numbers embedding vectors tokens far, happens ChatGPT runs produce new token numbers ripple layers neural net, neuron thing passing result neurons layer. Theres looping going back. Everything feeds forward network. Its different setup typical computational systemlike Turing machinein results repeatedly reprocessed computational elements. Hereat generating given token outputeach computational element i.e. neuron once. But sense outer loop reuses computational elements ChatGPT. Because ChatGPT going generate new token, reads i.e. takes input sequence tokens come it, including tokens ChatGPT written previously. And think setup meaning ChatGPT doesat outermost levelinvolve feedback loop, albeit iteration explicitly visible token appears text generates. But lets come core ChatGPT: neural net thats repeatedly generate token. At level simple: collection identical artificial neurons. And parts network consist fully connected layers neurons neuron given layer connected weight neuron layer before. But particularly transformer architecture, ChatGPT parts structure, specific neurons different layers connected. Of course, neurons connectedbut zero weight. In addition, aspects neural net ChatGPT arent naturally thought consisting homogeneous layers. And exampleas iconic summary indicatesinside attention block places multiple copies incoming data, going different processing path, potentially involving different number layers, later recombining. But convenient representation whats going on, principle possible think densely filling layers, weights zero. If looks longest path ChatGPT, 400 core layers involvedin ways huge number. But millions neuronswith total 175 billion connections 175 billion weights. And thing realize time ChatGPT generates new token, calculation involving single weights. Implementationally calculations somewhat organized layer highly parallel array operations conveniently GPUs. But token thats produced, 175 billion calculations end bit moreso that, yes, surprising generate long piece text ChatGPT. But end, remarkable thing operationsindividually simple arecan manage good humanlike job generating text. It emphasized far know theres ultimate theoretical reason like work. And fact, discuss, I think view apotentially surprisingscientific discovery: neural net like ChatGPTs possible capture essence human brains manage generating language. The Training ChatGPT OK, weve given outline ChatGPT works set up. But set up? How 175 billion weights neural net determined? Basically theyre result largescale training, based huge corpus texton web, books, etc.written humans. As weve said, given training data, certainly obvious neural net able successfully produce humanlike text. And, again, detailed pieces engineering needed happen. But big surpriseand discoveryof ChatGPT possible all. And thatin effecta neural net 175 billion weights reasonable model text humans write. In modern times, theres lots text written humans thats digital form. The public web billion humanwritten s, altogether trillion words text. And includes nonpublic webs, numbers 100 times larger. So far, 5 million digitized books available 100 million published, giving 100 billion words text. And thats mentioning text derived speech videos, etc. As personal comparison, total lifetime output published material bit 3 million words, past 30 years Ive written 15 million words email, altogether typed 50 million wordsand past couple years Ive spoken 10 million words livestreams. And, yes, Ill train bot that. But, OK, given data, train neural net it? The basic process discussed simple examples above. You present batch examples, adjust weights network minimize error loss network makes examples. The main thing thats expensive propagating error time this, weight network typically change tiny bit, lot weights deal with. The actual computation typically small constant factor harder forward one. With modern GPU hardware, straightforward compute results batches thousands examples parallel. But comes actually updating weights neural net, current methods require basically batch batch. And, yes, probably actual brainswith combined computation memory elementshave, now, architectural advantage. Even seemingly simple cases learning numerical functions discussed earlier, use millions examples successfully train network, scratch. So examples mean need order train humanlike language model? There doesnt fundamental theoretical way know. But practice ChatGPT successfully trained billion words text. Some text fed times, once. But got needed text saw. But given volume text learn from, large network require learn well? Again, dont fundamental theoretical way say. Ultimatelyas discuss belowtheres presumably certain total algorithmic content human language humans typically it. But question efficient neural net implementing model based algorithmic content. And dont knowalthough success ChatGPT suggests reasonably efficient. And end note ChatGPT couple billion weightscomparable number total number words tokens training data given. In ways surprising empirically observed smaller analogs ChatGPT size network work comparable size training data. After all, certainly inside ChatGPT text web books directly stored. Because whats actually inside ChatGPT bunch numberswith bit 10 digits precisionthat kind distributed encoding aggregate structure text. Put way, ask effective information content human language whats typically said it. Theres raw corpus examples language. And theres representation neural net ChatGPT. That representation likely far algorithmically minimal representation discuss below. But representation thats readily usable neural net. And representation theres end little compression training data; average basically bit neural net weight carry information content word training data. When run ChatGPT generate text, basically use weight once. So n weights, weve got order n computational steps dothough practice typically parallel GPUs. But need n words training data set weights, weve said conclude need n2 computational steps training networkwhich why, current methods, ends needing talk billiondollar training efforts. Beyond Basic Training The majority effort training ChatGPT spent showing large amounts existing text web, books, etc. But turns theres anotherapparently importantpart too. As soon finished raw training original corpus text shown, neural net inside ChatGPT ready start generating text, continuing prompts, etc. But results reasonable, tendparticularly longer pieces textto wander nonhumanlike ways. Its readily detect, say, traditional statistics text. But actual humans reading text easily notice. And key idea construction ChatGPT step passively reading things like web: actual humans actively interact ChatGPT, produces, effect feedback good chatbot. But neural net use feedback? The step humans rate results neural net. But neural net model built attempts predict ratings. But prediction model runessentially like loss functionon original network, effect allowing network tuned human feedback thats given. And results practice big effect success producing humanlike output. In general, interesting little poking originally trained network need usefully particular directions. One thought network behave learned new run training algorithm, adjusting weights, on. But thats case. Instead, sufficient basically tell ChatGPT timeas prompt giveand successfully use told generates text. And again, fact works is, I think, important clue understanding ChatGPT relates structure human language thinking. Theres certainly humanlike it: pretraining tell remember itat long generate piece text it. So whats going case like this? It tell somewhereand youre leading right spot. But doesnt plausible. Instead, likely that, yes, elements there, specifics defined like trajectory elements thats youre introducing tell something. And indeed, like humans, tell bizarre unexpected completely doesnt fit framework knows, doesnt like itll successfully able integrate this. It integrate basically riding fairly simple way framework has. Its worth pointing inevitably algorithmic limits neural net pick up. Tell shallow rules form goes that, etc., neural net likely able represent reproduce fineand knows language immediate pattern follow. But try rules actual deep computation involves potentially computationally irreducible steps wont work. Remember step feeding data forward network, looping virtue generating new tokens. Of course, network learn answer specific irreducible computations. But soon combinatorial numbers possibilities, tablelookupstyle approach work. And so, yes, like humans, time neural nets reach use actual computational tools. And, yes, WolframAlpha Wolfram Language uniquely suitable, theyve built talk things world, like languagemodel neural nets. What Really Lets ChatGPT Work? Human languageand processes thinking involved generating ithave represent kind pinnacle complexity. And somewhat remarkable human brainswith network mere 100 billion neurons maybe 100 trillion connections responsible it. Perhaps, imagined, theres brains networks neuronslike new layer undiscovered physics. But ChatGPT weve got important new piece information: know pure, artificial neural network connections brains neurons capable surprisingly good job generating human language. And, yes, thats big complicated systemwith neural net weights words text currently available world. But level difficult believe richness language things talk encapsulated finite system. Part whats going doubt reflection ubiquitous phenomenon evident example rule 30 computational processes effect greatly amplify apparent complexity systems underlying rules simple. But, actually, discussed above, neural nets kind ChatGPT tend specifically constructed restrict effect phenomenonand computational irreducibility associated itin making training accessible. So it, then, like ChatGPT far language? The basic answer, I think, language fundamental level simpler seems. And means ChatGPTeven ultimately straightforward neural net structureis successfully able capture essence human language thinking it. And moreover, training, ChatGPT implicitly discovered regularities language thinking possible. The success ChatGPT is, I think, giving evidence fundamental important piece science: suggesting expect major new laws languageand effectively laws thoughtout discover. In ChatGPTbuilt neural netthose laws best implicit. But laws explicit, theres potential kinds things ChatGPT vastly direct, efficientand transparentways. But, OK, laws like? Ultimately kind prescription languageand things itare together. Later discuss looking inside ChatGPT able hints this, know building computational language suggests path forward. But lets discuss longknown examples laws languageand relate operation ChatGPT. The syntax language. Language random jumble words. Instead, fairly definite grammatical rules words different kinds together: English, example, nouns preceded adjectives followed verbs, typically nouns right other. Such grammatical structure approximately captured set rules define parse trees together: ChatGPT doesnt explicit knowledge rules. But training implicitly discovers themand good following them. So work? At big picture level clear. But insight instructive look simpler example. Consider language formed sequences s, grammar specifies parentheses balanced, represented parse tree like: Can train neural net produce grammatically correct parenthesis sequences? There ways handle sequences neural nets, lets use transformer nets, ChatGPT does. And given simple transformer net, start feeding grammatically correct parenthesis sequences training examples. A subtlety actually appears ChatGPTs generation human language addition content tokens include End token, thats generated indicate output shouldnt continue i.e. ChatGPT, ones reached end story. If set transformer net attention block 8 heads feature vectors length 128 ChatGPT uses feature vectors length 128, 96 attention blocks, 96 heads doesnt possible learn parenthesis language. But 2 attention heads, learning process convergeat 10 million examples given and, common transformer nets, showing examples degrade performance. So network, analog ChatGPT does, ask probabilities token bein parenthesis sequence: And case, network pretty sure sequence end herewhich good, did, parentheses left unbalanced. In second case, however, correctly recognizes sequence end here, points possible start again, putting , presumably follow. But, oops, 400,000 laboriously trained weights, says theres 15 probability tokenwhich isnt right, necessarily lead unbalanced parenthesis. Heres ask network highestprobability completions progressively longer sequences s: And, yes, certain length network fine. But starts failing. Its pretty typical kind thing precise situation like neural net machine learning general. Cases human solve glance neural net solve too. But cases require algorithmic e.g. explicitly counting parentheses theyre closed neural net tends computationally shallow reliably do. By way, current ChatGPT hard time correctly matching parentheses long sequences. So mean things like ChatGPT syntax language like English? The parenthesis language austereand algorithmic story. But English realistic able guess whats grammatically going fit basis local choices words hints. And, yes, neural net better thiseven miss formally correct case that, well, humans miss well. But main point fact theres overall syntactic structure languagewith regularity impliesin sense limits neural net learn. And key naturalsciencelike observation transformer architecture neural nets like ChatGPT successfully able learn kind nestedtreelike syntactic structure exist approximation human languages. Syntax provides kind constraint language. But clearly more. A sentence like Inquisitive electrons eat blue theories fish grammatically correct isnt normally expect say, wouldnt considered success ChatGPT generated itbecause, well, normal meanings words it, basically meaningless. But general way tell sentence meaningful? Theres traditional overall theory that. But think ChatGPT implicitly developed theory trained billions presumably meaningful sentences web, etc. What theory like? Well, theres tiny corner thats basically known millennia, thats logic. And certainly syllogistic form Aristotle discovered it, logic basically way saying sentences follow certain patterns reasonable, not. Thus, example, reasonable All X Y. This Y, X All fishes blue. This blue, fish.. And somewhat whimsically imagine Aristotle discovered syllogistic logic going machinelearningstyle lots examples rhetoric, imagine training ChatGPT able discover syllogistic logic looking lots text web, etc. And, yes, expect ChatGPT produce text contains correct inferences based things like syllogistic logic, different story comes sophisticated formal logicand I think expect fail kind reasons fails parenthesis matching. But narrow example logic, said systematically construct recognize plausibly meaningful text? Yes, things like Mad Libs use specific phrasal templates. But ChatGPT implicitly general way it. And theres said happens 175 billion neural net weights. But I strongly suspect theres simpler stronger story. Meaning Space Semantic Laws Motion We discussed inside ChatGPT piece text effectively represented array numbers think coordinates point kind linguistic feature space. So ChatGPT continues piece text corresponds tracing trajectory linguistic feature space. But ask makes trajectory correspond text consider meaningful. And kind semantic laws motion defineor constrainhow points linguistic feature space preserving meaningfulness? So linguistic feature space like? Heres example single words here, common nouns laid project feature space 2D: We saw example based words representing plants animals. But point cases semantically similar words placed nearby. As example, heres words corresponding different parts speech laid out: Of course, given word doesnt general meaning necessarily correspond speech. And looking sentences containing word lay feature space, tease apart different meaningsas example word crane bird machine?: OK, plausible think feature space placing words nearby meaning close space. But kind additional structure identify space? Is example kind notion parallel transport reflect flatness space? One way handle look analogies: And, yes, project 2D, theres hint flatness, certainly universally seen. So trajectories? We look trajectory prompt ChatGPT follows feature spaceand ChatGPT continues that: Theres certainly geometrically obvious law motion here. And thats surprising; fully expect considerably complicated story. And, example, far obvious semantic law motion found, kind embedding or, effect, variables itll naturally stated in. In picture above, showing steps trajectorywhere step picking word ChatGPT considers probable zero temperature case. But ask words come probabilities given point: And case theres fan highprobability words definite direction feature space. What happens further? Here successive fans appear trajectory: Heres 3D representation, going total 40 steps: And, yes, like messand doesnt particularly encourage idea expect identify mathematicalphysicslike semantic laws motion empirically studying ChatGPT inside. But looking wrong variables wrong coordinate looked right one, wed immediately ChatGPT mathematicalphysicssimple like following geodesics. But now, ready empirically decode internal behavior ChatGPT discovered human language together. Semantic Grammar Power Computational Language What produce meaningful human language? In past, assumed short human brain. But know respectably neural net ChatGPT. Still, maybe thats far go, therell simpleror human understandablethat work. But strong suspicion success ChatGPT implicitly reveals important scientific fact: theres actually lot structure simplicity meaningful human language knewand end fairly simple rules language together. As mentioned above, syntactic grammar gives rules words corresponding things like different parts speech human language. But deal meaning, need further. And version think syntactic grammar language, semantic one. For purposes syntax, identify things like nouns verbs. But purposes semantics, need finer gradations. So, example, identify concept moving, concept object maintains identity independent location. There endless specific examples semantic concepts. But purposes semantic grammar, general kind rule basically says objects move. Theres lot work Ive said before. But Ill content remarks indicate potential path forward. Its worth mentioning sentence perfectly OK according semantic grammar, doesnt mean realized realized practice. The elephant traveled Moon doubtless pass semantic grammar, certainly realized actual worldthough absolutely fair game fictional world. When start talking semantic grammar soon led ask Whats underneath it? What model world assuming? A syntactic grammar construction language words. But semantic grammar necessarily engages kind model worldsomething serves skeleton language actual words layered. Until recent times, imagined human language general way model world. Already centuries ago started formalizations specific kinds things, based particularly mathematics. But theres general approach formalization: computational language. And, yes, thats big project course decades embodied Wolfram Language: develop precise symbolic representation talk broadly possible things world, abstract things care about. And so, example, symbolic representations cities molecules images neural networks, builtin knowledge compute things. And, decades work, weve covered lot areas way. But past, havent particularly dealt everyday discourse. In I bought pounds apples readily represent nutrition computations pounds apples. But dont symbolic representation I bought. Its connected idea semantic grammarand goal generic symbolic construction kit concepts, rules fit what, flow turn human language. But lets symbolic discourse language. What it? We start things like generating locally meaningful text. But ultimately likely want globally meaningful resultswhich means computing actually exist happen world consistent fictional world. Right Wolfram Language huge builtin computational knowledge lots kinds things. But complete symbolic discourse language wed build additional calculi general things world: object moves A B B C, moved A C, etc. Given symbolic discourse language use standalone statements. But use ask questions world, WolframAlpha style. Or use state things want so, presumably external actuation mechanism. Or use assertionsperhaps actual world, specific world considering, fictional otherwise. Human language fundamentally imprecise, isnt tethered specific computational implementation, meaning basically defined social contract users. But computational language, nature, certain fundamental precisionbecause end specifies unambiguously executed computer. Human language usually away certain vagueness. When planet include exoplanets not, etc.? But computational language precise clear distinctions making. Its convenient leverage ordinary human language making names computational language. But meanings computational language necessarily preciseand cover particular connotation typical human language usage. How figure fundamental ontology suitable general symbolic discourse language? Well, easy. Which little primitive beginnings Aristotle millennia ago. But helps today know think world computationally doesnt hurt fundamental metaphysics Physics Project idea ruliad. But mean context ChatGPT? From training ChatGPT effectively pieced certain impressive quantity amounts semantic grammar. But success gives reason think going feasible construct complete computational language form. And, unlike weve far figured innards ChatGPT, expect design computational language readily understandable humans. When talk semantic grammar, draw analogy syllogistic logic. At first, syllogistic logic essentially collection rules statements expressed human language. But yes, millennia later formal logic developed, original basic constructs syllogistic logic build huge formal towers include, example, operation modern digital circuitry. And so, expect, general semantic grammar. At first, able deal simple patterns, expressed, say, text. But computational language framework built, expect able erect tall towers generalized semantic logic, allow work precise formal way sorts things accessible before, groundfloor level human language, vagueness. We think construction computational languageand semantic grammaras representing kind ultimate compression representing things. Because allows talk essence whats possible, without, example, dealing turns phrase exist ordinary human language. And view great strength ChatGPT bit similar: sense drilled point language semantically meaningful way concern different possible turns phrase. So happen applied ChatGPT underlying computational language? The computational language whats possible. But added sense whats popularbased example reading content web. But thenunderneathoperating computational language means like ChatGPT immediate fundamental access ultimate tools making use potentially irreducible computations. And makes generate reasonable text, expect work worked text actually makes correct statements worldor supposed talking about. So What Is ChatGPT Doing, Why Does It Work? The basic concept ChatGPT level simple. Start huge sample humancreated text web, books, etc. Then train neural net generate text thats like this. And particular, able start prompt continue text thats like trained with. As weve seen, actual neural net ChatGPT simple elementsthough billions them. And basic operation neural net simple, consisting essentially passing input derived text generated far elements loops, etc. new word word generates. But remarkableand unexpectedthing process produce text thats successfully like whats web, books, etc. And coherent human language, says things follow prompt making use content read. It doesnt things globally sense correspond correct computationsbecause without, example, accessing computational superpowers WolframAlpha saying things sound right based things sounded like training material. The specific engineering ChatGPT compelling. But ultimately use outside tools ChatGPT merely pulling coherent thread text statistics conventional wisdom accumulated. But amazing humanlike results are. And Ive discussed, suggests thats scientifically important: human language patterns thinking simpler law like structure thought. ChatGPT implicitly discovered it. But potentially explicitly expose it, semantic grammar, computational language, etc. What ChatGPT generating text impressiveand results usually like humans produce. So mean ChatGPT working like brain? Its underlying artificialneuralnet structure ultimately modeled idealization brain. And likely humans generate language aspects whats going similar. When comes training AKA learning different hardware brain current computers as, perhaps, undeveloped algorithmic ideas forces ChatGPT use strategy thats probably different ways efficient brain. And theres well: unlike typical algorithmic computation, ChatGPT doesnt internally loops recompute data. And inevitably limits computational capabilityeven respect current computers, definitely respect brain. Its clear fix maintain ability train reasonable efficiency. But presumably allow future ChatGPT brainlike things. Of course, plenty things brains dont wellparticularly involving irreducible computations. And brains things like ChatGPT seek outside toolslike Wolfram Language. But exciting ChatGPT able do. At level great example fundamental scientific fact large numbers simple computational elements remarkable unexpected things. But provides best impetus weve thousand years understand better fundamental character principles central feature human condition human language processes thinking it. Thanks Ive following development neural nets 43 years, time Ive interacted people them. Among themsome long ago, recently, yearshave been: Giulio Alessandrini, Dario Amodei, Etienne Bernard, Taliesin Beynon, Sebastian Bodenstein, Greg Brockman, Jack Cowan, Pedro Domingos, Jesse Galef, Roger Germundsson, Robert HechtNielsen, Geoff Hinton, John Hopfield, Yann LeCun, Jerry Lettvin, Jerome Louradour, Marvin Minsky, Eric Mjolsness, Cayden Pierce, Tomaso Poggio, Matteo Salvarezza, Terry Sejnowski, Oliver Selfridge, Gordon Shaw, Jonas Sjberg, Ilya Sutskever, Gerry Tesauro Timothee Verdier. For help piece, Id particularly like thank Giulio Alessandrini Brad Klee. Additional Resources Machine Learning Middle Schoolers Introduction Machine Learning Wolfram U Machine Learning Courses Posted in: Artificial Intelligence, Language Communication, New Technology Please enter comment 5 characters. Name required Email published; required Please enter name. Pleaseenteravalidemailaddress. Website 1 comment Wow THAT long read. Question: ChatGPT work English. Does work with, say, Chinese Russian, dialects different grammar rules? Johhny February 15, 2023 7:55 pm Related Writings What Is ChatGPT Doing Why Does It Work? February 14, 2023 WolframAlpha Way Bring Computational Knowledge Superpowers ChatGPT January 9, 2023 The Latest Our RD Pipeline: Version 13.2 Wolfram Language Mathematica December 14, 2022 Launching Version 13.1 Wolfram Language Mathematica June 29, 2022 Recent Writings What Is ChatGPT Doing Why Does It Work? February 14, 2023 Computational Foundations Second Law Thermodynamics February 3, 2023 A 50Year Quest: My Personal Journey Second Law Thermodynamics February 2, 2023 How Did We Get Here? The Tangled History Second Law Thermodynamics January 31, 2023 WolframAlpha Way Bring Computational Knowledge Superpowers ChatGPT January 9, 2023 All date Popular Categories Artificial IntelligenceBig PictureCompanies BusinessComputational ScienceComputational ThinkingData ScienceEducationFuture PerspectivesHistorical PerspectivesLanguage CommunicationLife TimesLife ScienceMathematicaMathematicsNew Kind ScienceNew TechnologyPersonal AnalyticsPhilosophyPhysicsRuliologySoftware DesignWolframAlphaWolframOneWolfram LanguageOther Writings Year 20232022202120202019201820172016201520142013201220112010200920082007200620042003 All Stephen Wolfram, LLC Terms RSS Enable JavaScript interact content submit forms Wolfram websites. Learn
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https://wtlcfm.com/3492421/chatgpt-can-write-a-religious-sermon-sparking-controversy-amongst-religious-leaders/
2023-04-12T00:00:00
en
ChatGPT Can Write A Religious Sermon; Sparking Controversy
ChatGPT Can Write A Religious Sermon; Sparking Controversy Open menu Home Indy On Air Rickey Smiley Morning Show Karen Vaughn The DL Hughley Show The Loverman Show Jerry Wade JC Contests Podcasts Inspire U The Undressing Room Events Virtual Business Connections Connect Newsletter Sign-Up Instagram Facebook Twitter Text Club Sign Up Radio One Jobs Advertise With Us Facebook Twitter Celebrity News ChatGPT Can Write A Religious Sermon; Sparking Controversy Amongst Religious Leaders Written by Tyree J. @imtylamont Published on April 11, 2023 Share Share the post Share this link via Or copy link Copy Copied WTLC Featured Video CLOSE Source: NurPhoto / Getty Artificial intelligence or AI has been growing expeditiously in the last 4-5 years and ChatGPT is one of the latest software’s that has taken the limelight. ChatGPT is known for its greatness. It can write music, create reports on any and every subject, write code, explain things, lay out a business plan, and even write a religious sermon. Pastors and Rabbis are shocked by how this artificial intelligence can create something that we claim to be truly human and unique. In the past, religious sermons have always been written by one who felt a “calling”. Pastors, Rabbis, and other religious figures have used their religious text, life experiences, general knowledge, and God to craft their sermons. However, seeing a computer spit out similar works in seconds, left many not knowing how to feel. In December 2022, Rabbi Joshua Franklin delivered a sermon to a crowd using ChatGPT. He received the same applause and reaction as if he created the sermon himself. “You’re clapping, but I’m terrified”, he said to the crowd after stating his source. ChatGPT is currently being studied by many in various different ways. Using it to draft a religious sermon might be against some morals, but hey, at least you know the tool is there to help. So what do you think about using artificial intelligence to create something that many feel, requires a human touch?   Prominent Black Professionals Sue Hulu Over ’94 Freaknik Documentary ReleaseBruno Mars Headed To Maryland For Two ShowsAzriel Clary’s Sister, A’iceis, Comments On Text Messages Allegedly Sent By Their Mom Telling Her Sister To “Entice” R. KellyThe Fix with Karen Vaughn: SWV On Whether They Would Ever Tour With XscapeFormer Indianapolis Colt Marlin Jackson working to impact the lives of Indy’s youthOver 2,000 evacuated due to large industrial fire in RichmondPedestrian Dies After Being Struck By Vehicle On Northeast SideRihanna Becomes Most Followed Woman On TwitterWidow: Haskins Was Drugged Before DeathYouTube TV Announces NFL Sunday Ticket Pricing ChatGPT Can Write A Religious Sermon; Sparking Controversy Amongst Religious Leaders  was originally published on praiseindy.com More from 106.7 WTLC Five Things You Should Know About Mary Mary Candy Brand 'Peeps' Faces Cancer Backlash Miki Howard Finally Speaks Out About Her Son's Claim That Michael Jackson is His Father Take Our Music Survey For A Chance To Win $250! It’s Official: Donald Trump Under Arrest On Criminal Charges In Manhattan Criminal Courthouse 94′ Freaknik Doc Has Some ATL Aunties SHOOK! Nia Long to speak at Indianapolis Gala Famous Black Celebrity Siblings We Love Close menu Home Indy On Air Rickey Smiley Morning Show Karen Vaughn The DL Hughley Show The Loverman Show Jerry Wade JC Contests Podcasts Inspire U The Undressing Room Events Virtual Business Connections Connect Newsletter Sign-Up Instagram Facebook Twitter Text Club Sign Up Radio One Jobs Advertise With Us Privacy Policy COOKIE SETTINGS Ad Choice Advertise With Us Terms Of Service EEO Careers FAQ FCC Public File FCC Public File AM WTLC FCC Applications R1 Digital Facebook Twitter Copyright © 2023 Interactive One, LLC. All Rights Reserved. Powered by WordPress VIP   |   An Urban One Brand Facebook Twitter Privacy Policy COOKIE SETTINGS Ad Choice Advertise With Us Terms Of Service EEO Careers FAQ FCC Public File FCC Public File AM WTLC FCC Applications R1 Digital Copyright © 2023 Interactive One, LLC. All Rights Reserved. Powered by WordPress VIP   |   An Urban One Brand Close
ChatGPT Can Write A Religious Sermon; Sparking Controversy
ChatGPT Can Write A Religious Sermon; Sparking Controversy Open menu Home Indy On Air Rickey Smiley Morning Show Karen Vaughn The DL Hughley Show The Loverman Show Jerry Wade JC Contests Podcasts Inspire U The Undressing Room Events Virtual Business Connections Connect Newsletter SignUp Instagram Facebook Twitter Text Club Sign Up Radio One Jobs Advertise With Us Facebook Twitter Celebrity News ChatGPT Can Write A Religious Sermon; Sparking Controversy Amongst Religious Leaders Written Tyree J. Published April 11, 2023 Share Share post Share link Or copy link Copy Copied WTLC Featured Video CLOSE Source: NurPhoto Getty Artificial intelligence AI growing expeditiously 45 years ChatGPT latest softwares taken limelight. ChatGPT known greatness. It write music, create reports subject, write code, explain things, lay business plan, write religious sermon. Pastors Rabbis shocked artificial intelligence create claim truly human unique. In past, religious sermons written felt calling. Pastors, Rabbis, religious figures religious text, life experiences, general knowledge, God craft sermons. However, seeing spit similar works seconds, left knowing feel. In December 2022, Rabbi Joshua Franklin delivered sermon crowd ChatGPT. He received applause reaction created sermon himself. Youre clapping, Im terrified, said crowd stating source. ChatGPT currently studied different ways. Using draft religious sermon morals, hey, know tool help. So think artificial intelligence create feel, requires human touch? Prominent Black Professionals Sue Hulu Over 94 Freaknik Documentary ReleaseBruno Mars Headed To Maryland For Two ShowsAzriel Clarys Sister, Aiceis, Comments On Text Messages Allegedly Sent By Their Mom Telling Her Sister To Entice R. KellyThe Fix Karen Vaughn: SWV On Whether They Would Ever Tour With XscapeFormer Indianapolis Colt Marlin Jackson working impact lives Indys youthOver 2,000 evacuated large industrial RichmondPedestrian Dies After Being Struck By Vehicle On Northeast SideRihanna Becomes Most Followed Woman On TwitterWidow: Haskins Was Drugged Before DeathYouTube TV Announces NFL Sunday Ticket Pricing ChatGPT Can Write A Religious Sermon; Sparking Controversy Amongst Religious Leaders originally published More 106.7 WTLC Five Things You Should Know About Mary Mary Candy Brand Peeps Faces Cancer Backlash Miki Howard Finally Speaks Out About Her Sons Claim That Michael Jackson His Father Take Our Music Survey For A Chance To Win 250 Its Official: Donald Trump Under Arrest On Criminal Charges In Manhattan Criminal Courthouse 94 Freaknik Doc Has Some ATL Aunties SHOOK Nia Long speak Indianapolis Gala Famous Black Celebrity Siblings We Love Close menu Home Indy On Air Rickey Smiley Morning Show Karen Vaughn The DL Hughley Show The Loverman Show Jerry Wade JC Contests Podcasts Inspire U The Undressing Room Events Virtual Business Connections Connect Newsletter SignUp Instagram Facebook Twitter Text Club Sign Up Radio One Jobs Advertise With Us COOKIE SETTINGS Ad Choice Advertise With Us Terms Of Service EEO Careers FAQ FCC Public File FCC Public File AM WTLC FCC Applications R1 Digital Facebook Twitter 2023 Interactive One, LLC. . Powered WordPress VIP An Urban One Brand Facebook Twitter COOKIE SETTINGS Ad Choice Advertise With Us Terms Of Service EEO Careers FAQ FCC Public File FCC Public File AM WTLC FCC Applications R1 Digital 2023 Interactive One, LLC. . Powered WordPress VIP An Urban One Brand Close
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4,128
https://wtmj.com/entertainment/2023/05/05/could-ai-pen-casablanca-screenwriters-take-aim-at-chatgpt-3/
2023-05-05T00:00:00
en
Could AI pen 'Casablanca'? Screenwriters take aim at ChatGPT - WTMJ
Could AI pen 'Casablanca'? Screenwriters take aim at ChatGPT - WTMJ About Advertise Contact Careers EEO PUBLIC FILE REPORT FCC Public File FCC Applications Privacy Policy Terms of Use Friday, May 5, 2023 Home News Local National Crime Featured Stories Decision Wisconsin Guest Editorials Weather Closings and Delays Flight Status Interactive Radar Watches and Warnings Traffic Construction Updates Sports Extra Points Milwaukee Brewers Brewers All Access Podcast Milwaukee Bucks Bucks In 6:00 Bucks Talk Bucks Weekly: The Podcast Green Bay Packers Green & Gold Podcast NCAA Shows Wisconsin’s Morning News Steve Scaffidi Jeff Wagner Wisconsin’s Afternoon News The Beatles & More! 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The GKB Recruitment Show Money Talk, The Annex Wealth Management Show Podcasts Wisconsin’s Morning News Podcast The Steve Scaffidi Show Jeff Wagner Podcast Wisconsin’s Afternoon News Podcast WTMJ Nights Podcast Wisconsin’s Weekend Morning News Podcast Brewers All Access Podcast Milwaukee Bucks Bucks In 6:00 Bucks Weekly: The Podcast Bucks Talk: The Podcast WTMJ Conversations 2023: The Podcast The Truth on WTMJ: The Podcast Green Bay Packers Green & Gold Podcast WTMJ Conversations Podcast Featured Show Podcasts The Fix-It Show Podcast Money Talk, The Annex Wealth Management Show Podcast The Accunet Mortgage and Realty Show Podcast The Fox World Travel Show Podcast Creative Planning presents, Rethink Your Money with John Hagensen Features Scaffidi Salute to Service presented by Educator’s Credit Union What’s On Tap? The Beatles & More! An England Adventure with Sandy Maxx and Journeys Connect Spotlight on New York City Holiday with John Mercure and Collette Annex Wealth Management Webinar Every Day Health Sunday Sip WTMJ Cares: Polar Plunge with Vitrano for Special Olympics Wagner’s Home Improvement Showcase 2023 Greater Milwaukee International Car & Truck Show Experience Wisconsin Contests LISTEN LIVE No Result View All Result No Result View All Result Could AI pen ‘Casablanca’? Screenwriters take aim at ChatGPT by AP News May 5, 2023 in AP Entertainment, AP News, Entertainment Share on FacebookShare on TwitterEmail By JAKE COYLE AP Film Writer NEW YORK (AP) — When Greg Brockman, the president and co-founder of ChatGPT maker OpenAI, was recently extolling the capabilities of artificial intelligence, he turned to “Game of Thrones.” Imagine, he said, if you could use AI to rewrite the ending of that not-so-popular finale. Maybe even put yourself into the show. “That is what entertainment will look like,” said Brockman. Not six months since the release of ChatGPT, generative artificial intelligence is already prompting widespread unease throughout Hollywood. Concern over chatbots writing or rewriting scripts is one of the leading reasons TV and film screenwriters took to picket lines earlier this week. Though the Writers Guild of America is striking for better pay in an industry where streaming has upended many of the old rules, AI looms as rising anxiety. “AI is terrifying,” said Danny Strong, the “Dopesick” and “Empire” creator. “Now, I’ve seen some of ChatGPT’s writing and as of now I’m not terrified because Chat is a terrible writer. But who knows? That could change.” AI chatbots, screenwriters say, could potentially be used to spit out a rough first draft with a few simple prompts (“a heist movie set in Beijing”). Writers would then be hired, at a lower pay rate, to punch it up. Screenplays could also be slyly generated in the style of known writers. What about a comedy in the voice of Nora Ephron? Or a gangster film that sounds like Mario Puzo? You won’t get anything close to “Casablanca” but the barest bones of a bad Liam Neeson thriller isn’t out of the question. The WGA’s basic agreement defines a writer as a “person” and only a human’s work can be copyrighted. But even though no one’s about to see a “By AI” writers credit at the beginning a movie, there are myriad ways that regenerative AI could be used to craft outlines, fill in scenes and mock up drafts. “We’re not totally against AI,” says Michael Winship, president of the WGA East and a news and documentary writer. “There are ways it can be useful. But too many people are using it against us and using it to create mediocrity. They’re also in violation of copyright. They’re also plagiarizing.” The guild is seeking more safeguards on how AI can be applied to screenwriting. It says the studios are stonewalling on the issue. The Alliance of Motion Picture and Television Producers, which bargains on the behalf of production companies, has offered to annually meet with the guild to go over definitions around the fast-evolving technology. “It’s something that requires a lot more discussion, which we’ve committed to doing,” the AMPTP said in an outline of its position released Thursday. Experts say the struggle screenwriters are now facing with regenerative AI is just the beginning. The World Economic Forum this week released a report predicting that nearly a quarter of all jobs will be disrupted by AI over the next five years. “It’s definitely a bellwether in the workers’ response to the potential impacts of artificial intelligence on their work,” says Sarah Myers West, managing director of the nonprofit AI Now Institute, which has lobbied the government to enact more regulation around AI. “It’s not lost on me that a lot of the most meaningful efforts in tech accountability have been a product of worker-led organizing.” AI has already filtered into nearly every part of moviemaking. It’s been used to de-age actors, remove swear words from scenes in post-production, supply viewing recommendations on Netflix and posthumously bring back the voices of Anthony Bourdain and Andy Warhol. The Screen Actors Guild, set to begin its own bargaining with the AMPTP this summer, has said it’s closely following the evolving legal landscape around AI. “Human creators are the foundation of the creative industries and we must ensure that they are respected and paid for their work,” the actors union said. The implications for screenwriting are only just being explored. Actors Alan Alda and Mike Farrell recently reconvened to read through a new scene from “M(asterisk)A(asterisk)S(asterisk)H” written by ChatGPT. The results weren’t terrible, though they weren’t so funny, either. “Why have a robot write a script and try to interpret human feelings when we already have studio executives who can do that?” deadpanned Alda. Writers have long been among notoriously exploited talents in Hollywood. The films they write usually don’t get made. If they do, they’re often rewritten many times over. Raymond Chandler once wrote “the very nicest thing Hollywood can possibly think to say to a writer is that he is too good to be only a writer.” Screenwriters are accustomed to being replaced. Now, they see a new, readily available and inexpensive competitor in AI — albeit one with a slightly less tenuous grasp of the human condition. “Obviously, AI can’t do what writers and humans can do. But I don’t know that they believe that, necessarily,” says screenwriter Jonterri Gadson (“A Black Lady Sketchshow”). “There needs to be a human writer in charge and we’re not trying to be gig workers, just revising what AI does. We need to tell the stories.” Dramatizing their plight as man vs. machine surely doesn’t hurt the WGA’s cause in public opinion. The writers are wrestling with the threat of AI just as concern widens over how hurriedly regenerative AI products has been thrust into society. Geoffrey Hinton, an AI pioneer, recently left Google in order to speak freely about its potential dangers. “It’s hard to see how you can prevent the bad actors from using it for bad things,” Hinton told The New York Times. “What’s especially scary about it is nobody, including a lot of the people who are involved with creating it, seem to be able to explain exactly what it’s capable of and how quickly it will be capable of more,” says actor-screenwriter Clark Gregg. The writers finds themselves in the awkward position of negotiating on a newborn technology with the potential for radical effect. Meanwhile, AI-crafted songs by “Fake Drake” or “Fake Eminem” continue to circulate online. “They’re afraid that if the use of AI to do all this becomes normalized, then it becomes very hard to stop the train,” says James Grimmelmann, a professor of digital and information law at Cornell University. “The guild is in the position of trying to imagine lots of different possible futures.” In that way, the long work stoppage that many are expecting — Moody’s Investor Service forecasts that the strike may last three months or longer — could offer more time to analyze how regenerative AI might reshape screenwriting. In the meantime, chanting demonstrators are hoisting signs with messages aimed at a digital foe. Seen on the picket lines: “ChatGPT doesn’t have childhood trauma”; “I heard AI refuses to take notes”; and “Wrote ChatGPT this.” ___ Associated Press Writer Krysta Fauria in Los Angeles and Robert Bumsted and Aron Ranen in New York contributed to this report. ___ Follow AP Film Writer Jake Coyle on Twitter at: http://twitter.com/jakecoyleAP Previous Post Stock market today: Apple gives some juice after brutal week Next Post Ford recalls some vehicles for air bag inflator installation AP News Stay Connected 22.3k Followers 1k Follower 679 Subscribers Most Popular Sign of the times? History marker for communist draws anger May 5, 2023 Germany: Man rescued from woods after sex game goes awry May 5, 2023 Italian ex-leader Conte attacked by man protesting lockdowns May 5, 2023 Why is Russia’s Wagner threatening to withdraw from Bakhmut? May 5, 2023 2 mass shootings in 2 days plunge Serbia into shock, dismay May 5, 2023 For more than 90 years, WTMJ-AM has been "Wisconsin's Radio Station". 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Could AI pen 'Casablanca'? Screenwriters take aim at ChatGPT
Could AI pen Casablanca? Screenwriters aim ChatGPT WTMJ About Advertise Careers EEO PUBLIC FILE REPORT FCC Public File FCC Applications Terms Use Friday, May 5, 2023 Home News Local National Crime Featured Stories Decision Wisconsin Guest Editorials Weather Closings Delays Flight Status Interactive Radar Watches Warnings Traffic Construction Updates Sports Extra Points Milwaukee Brewers Brewers All Access Podcast Milwaukee Bucks Bucks In 6:00 Bucks Talk Bucks Weekly: The Podcast Green Bay Packers Green Gold Podcast NCAA Shows Wisconsins Morning News Steve Scaffidi Jeff Wagner Wisconsins Afternoon News The Beatles More An England Adventure Sandy Maxx Journeys Connect Spectacular Scandinavia John Mercure Collette WTMJ Nights Wisconsins Weekend Morning News WTMJ Conversations Reporters Notebook Featured Shows Accunet Mortgage Realty Show Creative Planning presents, Rethink Your Money John Hagensen Drake Associates Retirement Ready Show Every Day Health Fix It Show Hired The GKB Recruitment Show Money Talk, The Annex Wealth Management Show Podcasts Wisconsins Morning News Podcast The Steve Scaffidi Show Jeff Wagner Podcast Wisconsins Afternoon News Podcast WTMJ Nights Podcast Wisconsins Weekend Morning News Podcast Brewers All Access Podcast Milwaukee Bucks Bucks In 6:00 Bucks Weekly: The Podcast Bucks Talk: The Podcast WTMJ Conversations 2023: The Podcast The Truth WTMJ: The Podcast Green Bay Packers Green Gold Podcast WTMJ Conversations Podcast Featured Show Podcasts The FixIt Show Podcast Money Talk, The Annex Wealth Management Show Podcast The Accunet Mortgage Realty Show Podcast The Fox World Travel Show Podcast Creative Planning presents, Rethink Your Money John Hagensen Features Scaffidi Salute Service presented Educators Credit Union Whats On Tap? 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The Beatles More An England Adventure Sandy Maxx Journeys Connect Spotlight New York City Holiday John Mercure Collette Annex Wealth Management Webinar Every Day Health Sunday Sip WTMJ Cares: Polar Plunge Vitrano Special Olympics Wagners Home Improvement Showcase 2023 Greater Milwaukee International Car Truck Show Experience Wisconsin Contests LISTEN LIVE No Result View All Result No Result View All Result Could AI pen Casablanca? Screenwriters aim ChatGPT AP News May 5, 2023 AP Entertainment, AP News, Entertainment Share FacebookShare TwitterEmail By JAKE COYLE AP Film Writer NEW YORK AP When Greg Brockman, president cofounder ChatGPT maker OpenAI, recently extolling capabilities artificial intelligence, turned Game Thrones. Imagine, said, use AI rewrite ending notsopopular finale. Maybe show. That entertainment look like, said Brockman. Not months release ChatGPT, generative artificial intelligence prompting widespread unease Hollywood. Concern chatbots writing rewriting scripts leading reasons TV film screenwriters took picket lines earlier week. Though Writers Guild America striking better pay industry streaming upended old rules, AI looms rising anxiety. AI terrifying, said Danny Strong, Dopesick Empire creator. Now, Ive seen ChatGPTs writing Im terrified Chat terrible writer. But knows? That change. AI chatbots, screenwriters say, potentially spit rough draft simple prompts heist movie set Beijing. Writers hired, lower pay rate, punch up. Screenplays slyly generated style known writers. What comedy voice Nora Ephron? Or gangster film sounds like Mario Puzo? You wont close Casablanca barest bones bad Liam Neeson thriller isnt question. The WGAs basic agreement defines writer person humans work copyrighted. But ones By AI writers credit beginning movie, myriad ways regenerative AI craft outlines, scenes mock drafts. Were totally AI, says Michael Winship, president WGA East news documentary writer. There ways useful. But people create mediocrity. Theyre violation copyright. Theyre plagiarizing. The guild seeking safeguards AI applied screenwriting. It says studios stonewalling issue. The Alliance Motion Picture Television Producers, bargains behalf production companies, offered annually meet guild definitions fastevolving technology. Its requires lot discussion, weve committed doing, AMPTP said outline position released Thursday. Experts struggle screenwriters facing regenerative AI beginning. The World Economic Forum week released report predicting nearly quarter jobs disrupted AI years. Its definitely bellwether workers response potential impacts artificial intelligence work, says Sarah Myers West, managing director nonprofit AI Now Institute, lobbied government enact regulation AI. Its lost lot meaningful efforts tech accountability product workerled organizing. AI filtered nearly moviemaking. Its deage actors, remove swear words scenes postproduction, supply viewing recommendations Netflix posthumously bring voices Anthony Bourdain Andy Warhol. The Screen Actors Guild, set begin bargaining AMPTP summer, said closely following evolving legal landscape AI. Human creators foundation creative industries ensure respected paid work, actors union said. The implications screenwriting explored. Actors Alan Alda Mike Farrell recently reconvened read new scene MasteriskAasteriskSasteriskH written ChatGPT. The results werent terrible, werent funny, either. Why robot write script try interpret human feelings studio executives that? deadpanned Alda. Writers long notoriously exploited talents Hollywood. The films write usually dont made. If do, theyre rewritten times over. Raymond Chandler wrote nicest thing Hollywood possibly think writer good writer. Screenwriters accustomed replaced. Now, new, readily available inexpensive competitor AI albeit slightly tenuous grasp human condition. Obviously, AI writers humans do. But I dont know believe that, necessarily, says screenwriter Jonterri Gadson A Black Lady Sketchshow. There needs human writer charge trying gig workers, revising AI does. We need tell stories. Dramatizing plight man vs. machine surely doesnt hurt WGAs cause public opinion. The writers wrestling threat AI concern widens hurriedly regenerative AI products thrust society. Geoffrey Hinton, AI pioneer, recently left Google order speak freely potential dangers. Its hard prevent bad actors bad things, Hinton told The New York Times. Whats especially scary nobody, including lot people involved creating it, able explain exactly capable quickly capable more, says actorscreenwriter Clark Gregg. The writers finds awkward position negotiating newborn technology potential radical effect. Meanwhile, AIcrafted songs Fake Drake Fake Eminem continue circulate online. Theyre afraid use AI normalized, hard stop train, says James Grimmelmann, professor digital information law Cornell University. The guild position trying imagine lots different possible futures. In way, long work stop expecting Moodys Investor Service forecasts strike months longer offer time analyze regenerative AI reshape screenwriting. In meantime, chanting demonstrators hoisting signs messages aimed digital foe. Seen picket lines: ChatGPT doesnt childhood trauma; I heard AI refuses notes; Wrote ChatGPT this. ___ Associated Press Writer Krysta Fauria Los Angeles Robert Bumsted Aron Ranen New York contributed report. ___ Follow AP Film Writer Jake Coyle Twitter at: Previous Post Stock market today: Apple gives juice brutal week Next Post Ford recalls vehicles air bag inflator installation AP News Stay Connected 22.3k Followers 1k Follower 679 rs Most Popular Sign times? 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"milwaukee", "bucks", "shows", "shows", "wisconsins", "morning", "news", "steve", "scaffidi", "jeff", "wagner", "wisconsins", "afternoon", "news", "spectacular", "scandinavia", "john", "mercure", "collette", "wtmj", "nights", "wtmj", "conversations", "featured", "shows", "podcasts", "features", "features", "good", "karma", "wtmj", "roundtable", "contests", "alexa", "result", "view", "result", "good", "karma", "brands", "llc" ]
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https://wtop.com/national/2023/06/lawyers-submitted-bogus-case-law-created-by-chatgpt-a-judge-fined-them-5000/
2023-07-16T00:00:00
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Lawyers submitted bogus case law created by ChatGPT. A judge fined them $5,000 - WTOP News
Lawyers submitted bogus case law created by ChatGPT. A judge fined them $5,000 - WTOP News Click to toggle navigation menu. Headlines Local NewsClick to expand menu. VirginiaClick to expand menu. Alexandria Arlington Fairfax County Loudoun County Prince William County Stafford County MarylandClick to expand menu. Anne Arundel County Baltimore Calvert County Charles County Frederick County Howard County Montgomery County Prince George's County DC Crime News Weather News Transportation News NationalClick to expand menu. National Security World Coronavirus Business & FinanceClick to expand menu. Consumer Real Estate Recalls GovernmentClick to expand menu. Congress Supreme Court White House Election News LifestyleClick to expand menu. Animals & Pets Food & Restaurants Health & Fitness Life & Style Parenting Travel Entertainment SportsClick to expand menu. Baltimore Orioles Baltimore Ravens DC United Washington Capitals Washington Mystics Washington Nationals Washington Commanders Washington Wizards Photo Galleries WTOP Noticias Federal News Network Fun & Games WTOP Insights Click to collapse navigation menu. News Traffic Weather site search query Live Radio Listen Live Login Home » National News » Lawyers submitted bogus case… Lawyers submitted bogus case law created by ChatGPT. A judge fined them $5,000 The Associated Press June 22, 2023, 6:16 PM Share This: share on facebook share on twitter share via email print NEW YORK (AP) — A federal judge on Thursday imposed $5,000 fines on two lawyers and a law firm in… Listen now to WTOP News WTOP.com | Alexa | Google Home | WTOP App | 103.5 FM NEW YORK (AP) — A federal judge on Thursday imposed $5,000 fines on two lawyers and a law firm in an unprecedented instance in which ChatGPT was blamed for their submission of fictitious legal research in an aviation injury claim. Judge P. Kevin Castel said they acted in bad faith. But he credited their apologies and remedial steps taken in explaining why harsher sanctions were not necessary to ensure they or others won’t again let artificial intelligence tools prompt them to produce fake legal history in their arguments. “Technological advances are commonplace and there is nothing inherently improper about using a reliable artificial intelligence tool for assistance,” Castel wrote. “But existing rules impose a gatekeeping role on attorneys to ensure the accuracy of their filings.” The judge said the lawyers and their firm, Levidow, Levidow & Oberman, P.C., “abandoned their responsibilities when they submitted non-existent judicial opinions with fake quotes and citations created by the artificial intelligence tool ChatGPT, then continued to stand by the fake opinions after judicial orders called their existence into question.” In a statement, the law firm said it would comply with Castel’s order, but added: “We respectfully disagree with the finding that anyone at our firm acted in bad faith. We have already apologized to the Court and our client. We continue to believe that in the face of what even the Court acknowledged was an unprecedented situation, we made a good faith mistake in failing to believe that a piece of technology could be making up cases out of whole cloth.” The firm said it was considering whether to appeal. Castel said the bad faith resulted from the failures of the attorneys to respond properly to the judge and their legal adversaries when it was noticed that six legal cases listed to support their March 1 written arguments did not exist. The judge cited “shifting and contradictory explanations” offered by attorney Steven A. Schwartz. He said attorney Peter LoDuca lied about being on vacation and was dishonest about confirming the truth of statements submitted to Castel. At a hearing earlier this month, Schwartz said he used the artificial intelligence-powered chatbot to help him find legal precedents supporting a client’s case against the Colombian airline Avianca for an injury incurred on a 2019 flight. Microsoft has invested some $1 billion in OpenAI, the company behind ChatGPT. The chatbot, which generates essay-like answers to prompts from users, suggested several cases involving aviation mishaps that Schwartz hadn’t been able to find through usual methods used at his law firm. Several of those cases weren’t real, misidentified judges or involved airlines that didn’t exist. The judge said one of the fake decisions generated by the chatbot “have some traits that are superficially consistent with actual judicial decisions” but he said other portions contained “gibberish” and were “nonsensical.” In a separate written opinion, the judge tossed out the underlying aviation claim, saying the statute of limitations had expired. Lawyers for Schwartz and LoDuca did not immediately respond to a request for comment. Copyright © 2023 The Associated Press. All rights reserved. This material may not be published, broadcast, written or redistributed. Share This: share on facebook share on twitter share via email print Related News Suspect in 4 Georgia deaths is killed in shootout with police, 3 officers wounded, authorities say Lionel Messi set to be unveiled by Inter Miami and Major League Soccer Heavy rains swamp Northeast again as flash flooding claims at least 5 lives in Pennsylvania Recommended Arlington Co. pauses ranked choice voting ahead of November's election Police identify cyclist killed in Northwest DC shooting Storms bring heavy rain, potential for flash flooding to DC region Related Categories: National News | Tech News More from WTOP 5425 Wisconsin Ave Chevy Chase, MD 20815 [email protected] 202.895.5000 Copyright © 2023 by WTOP. All rights reserved. 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Lawyers submitted bogus case law created by ChatGPT. A judge fined them $5,000
Lawyers submitted bogus case law created ChatGPT. A judge fined 5,000 WTOP News Click toggle navigation menu. Headlines Local NewsClick expand menu. VirginiaClick expand menu. Alexandria Arlington Fairfax County Loudoun County Prince William County Stafford County MarylandClick expand menu. Anne Arundel County Baltimore Calvert County Charles County Frederick County Howard County Montgomery County Prince Georges County DC Crime News Weather News Transportation News NationalClick expand menu. National Security World Coronavirus Business FinanceClick expand menu. Consumer Real Estate Recalls GovernmentClick expand menu. Congress Supreme Court White House Election News LifestyleClick expand menu. Animals Pets Food Restaurants Health Fitness Life Style Parenting Travel Entertainment SportsClick expand menu. Baltimore Orioles Baltimore Ravens DC United Washington Capitals Washington Mystics Washington Nationals Washington Commanders Washington Wizards Photo Galleries WTOP Noticias Federal News Network Fun Games WTOP Insights Click collapse navigation menu. News Traffic Weather site search query Live Radio Listen Live Home National News Lawyers submitted bogus case Lawyers submitted bogus case law created ChatGPT. A judge fined 5,000 The Associated Press June 22, 2023, 6:16 PM Share This: share facebook share twitter share email print NEW YORK AP A federal judge Thursday imposed 5,000 fines lawyers law firm Listen WTOP News Alexa Google Home WTOP App 103.5 FM NEW YORK AP A federal judge Thursday imposed 5,000 fines lawyers law firm unprecedented instance ChatGPT blamed submission fictitious legal research aviation injury claim. Judge P. Kevin Castel said acted bad faith. But credited apologies remedial steps taken explaining harsher sanctions necessary ensure wont let artificial intelligence tools prompt produce fake legal history arguments. Technological advances commonplace inherently improper reliable artificial intelligence tool assistance, Castel wrote. But existing rules impose gatekeeping role attorneys ensure accuracy filings. The judge said lawyers firm, Levidow, Levidow Oberman, P.C., abandoned responsibilities submitted nonexistent judicial opinions fake quotes citations created artificial intelligence tool ChatGPT, continued stand fake opinions judicial orders called existence question. In statement, law firm said comply Castels order, added: We respectfully disagree finding firm acted bad faith. We apologized Court client. We continue believe face Court acknowledged unprecedented situation, good faith mistake failing believe piece technology making cases cloth. The firm said considering appeal. Castel said bad faith resulted failures attorneys respond properly judge legal adversaries noticed legal cases listed support March 1 written arguments exist. The judge cited shifting contradictory explanations offered attorney Steven A. Schwartz. He said attorney Peter LoDuca lied vacation dishonest confirming truth statements submitted Castel. At hearing earlier month, Schwartz said artificial intelligencepowered chatbot help legal precedents supporting clients case Colombian airline Avianca injury incurred 2019 flight. Microsoft invested 1 billion OpenAI, company ChatGPT. The chatbot, generates essaylike answers prompts users, suggested cases involving aviation mishaps Schwartz hadnt able usual methods law firm. Several cases werent real, misidentified judges involved airlines didnt exist. The judge said fake decisions generated chatbot traits superficially consistent actual judicial decisions said portions contained gibberish nonsensical. In separate written opinion, judge tossed underlying aviation claim, saying statute limitations expired. Lawyers Schwartz LoDuca immediately respond request comment. 2023 The Associated Press. . This material published, broadcast, written redistributed. Share This: share facebook share twitter share email print Related News Suspect 4 Georgia deaths killed shootout police, 3 officers wounded, authorities Lionel Messi set unveiled Inter Miami Major League Soccer Heavy rains swamp Northeast flash flooding claims 5 lives Pennsylvania Recommended Arlington Co. pauses ranked choice voting ahead Novembers election Police identify cyclist killed Northwest DC shooting Storms bring heavy rain, potential flash flooding DC region Related Categories: National News Tech News More WTOP 5425 Wisconsin Ave Chevy Chase, MD 20815 hello 202.895.5000 2023 WTOP. . This website intended users located European Economic Area. News Philosophy News Team Careers Advertise Contests News Tips Charities Events Press Podcasts FNN Sign manage WTOP email subscriptions Email Go Facebook Twitter Instagram Email Us Feedback Terms Use Hubbard Radio DMCA Notice EEO FCC Public Inspection Files FCC Applications Do Not Sell My Info CA Resident Only Log WTOP account notifications alerts customized you. Sign LOGOUT VIEW PROFILE
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https://wusfnews.wusf.usf.edu/2023-07-12/comedian-sarah-silverman-sues-openai-and-meta-for-copyright-infringement
2023-07-12T00:00:00
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Comedian Sarah Silverman sues OpenAI and Meta for copyright infringement | WUSF Public Media
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Here & Now‘s Scott Tong talks about the case with Adi Robertson, senior tech and policy editor at The Verge. This article was originally published on WBUR.org. Copyright 2023 NPR. To see more, visit https://www.npr.org. Tags Here & Now Facebook Twitter LinkedIn Email Get theHealth News FloridaNewsletter Email address Subscribe Hurricane Guide The latest news and how to stay informed. Read More Latest Stories Environment A Seffner sinkhole that claimed a man's life in 2013 has returned Courts / Law Reenactment of Parkland school massacre on campus will be allowed as part of lawsuit against deputy Courts / Law An amicus brief is filed in an appeal challenging Gov. 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Comedian Sarah Silverman sues OpenAI and Meta for copyright infringement
Comedian Sarah Silverman sues OpenAI Meta copyright infringement WUSF Public Media Query Show News News Home Local State US World Politics Issues Education University Beat Environment Weather Economy Business Courts Law Transportation Science Space Arts Culture Sports News Home Local State US World Politics Issues Education University Beat Environment Weather Economy Business Courts Law Transportation Science Space Arts Culture Sports Health News Florida Weather Events Shows Podcasts The Zest Podcast Florida Matters The Florida Roundup Morning Edition All Things Considered 1A Here Now Fresh Air On Point The Zest Podcast Florida Matters The Florida Roundup Morning Edition All Things Considered 1A Here Now Fresh Air On Point Special Coverage Florida And Climate Change Paycheck To Paycheck Community News Collaborative 2023 Atlantic Hurricane Season Red Tide Abortion Queer Spaces Trans Joy Coronavirus 2023 Florida Legislature Democracy 2022 Hurricane Ian Black Mental Health Unequal Shots Phosphates And Florida Audio Postcards Teacher Voices Next Generation Radio Florida And Climate Change Paycheck To Paycheck Community News Collaborative 2023 Atlantic Hurricane Season Red Tide Abortion Queer Spaces Trans Joy Coronavirus 2023 Florida Legislature Democracy 2022 Hurricane Ian Black Mental Health Unequal Shots Phosphates And Florida Audio Postcards Teacher Voices Next Generation Radio Our Mission Editorial Integrity Code Ethics Social Media Commenting Policy Meet Staff Us Careers WUSF Station News Newsletters Programs Schedule Ways To Listen Download Our App Our Mission Editorial Integrity Code Ethics Social Media Commenting Policy Meet Staff Us Careers WUSF Station News Newsletters Programs Schedule Ways To Listen Download Our App Support NPR Plus Ways To Support WUSF OneTime Gift Sustainer Memberships Donate A Vehicle NPR Plus Ways To Support WUSF OneTime Gift Sustainer Memberships Donate A Vehicle WUSF Network WUSF Classical WSMR WUSF Jazz Arts Axis Florida The Zest Podcast WUSFs Longest Table WUSF Classical WSMR WUSF Jazz Arts Axis Florida The Zest Podcast WUSFs Longest Table 2023 All Rights reserved WUSF Menu Show Query Donate Play Live Radio Next Up: 0:00 0:00 0:00 0:00 Available On Air Stations On Air Now Playing WUSF 89.7 On Air Now Playing Classical WSMR All Streams News News Home Local State US World Politics Issues Education University Beat Environment Weather Economy Business Courts Law Transportation Science Space Arts Culture Sports News Home Local State US World Politics Issues Education University Beat Environment Weather Economy Business Courts Law Transportation Science Space Arts Culture Sports Health News Florida Weather Events Shows Podcasts The Zest Podcast Florida Matters The Florida Roundup Morning Edition All Things Considered 1A Here Now Fresh Air On Point The Zest Podcast Florida Matters The Florida Roundup Morning Edition All Things Considered 1A Here Now Fresh Air On Point Special Coverage Florida And Climate Change Paycheck To Paycheck Community News Collaborative 2023 Atlantic Hurricane Season Red Tide Abortion Queer Spaces Trans Joy Coronavirus 2023 Florida Legislature Democracy 2022 Hurricane Ian Black Mental Health Unequal Shots Phosphates And Florida Audio Postcards Teacher Voices Next Generation Radio Florida And Climate Change Paycheck To Paycheck Community News Collaborative 2023 Atlantic Hurricane Season Red Tide Abortion Queer Spaces Trans Joy Coronavirus 2023 Florida Legislature Democracy 2022 Hurricane Ian Black Mental Health Unequal Shots Phosphates And Florida Audio Postcards Teacher Voices Next Generation Radio Our Mission Editorial Integrity Code Ethics Social Media Commenting Policy Meet Staff Us Careers WUSF Station News Newsletters Programs Schedule Ways To Listen Download Our App Our Mission Editorial Integrity Code Ethics Social Media Commenting Policy Meet Staff Us Careers WUSF Station News Newsletters Programs Schedule Ways To Listen Download Our App Support NPR Plus Ways To Support WUSF OneTime Gift Sustainer Memberships Donate A Vehicle NPR Plus Ways To Support WUSF OneTime Gift Sustainer Memberships Donate A Vehicle WUSF Network WUSF Classical WSMR WUSF Jazz Arts Axis Florida The Zest Podcast WUSFs Longest Table WUSF Classical WSMR WUSF Jazz Arts Axis Florida The Zest Podcast WUSFs Longest Table Comedian Sarah Silverman sues OpenAI Meta copyright infringement PublishedJuly 12, 2023 8:40 AM EDT Facebook Twitter LinkedIn Email Listen 5:22 Comedian author Sarah Silverman suing OpenAI Meta copyright infringement, saying companies improperly protected work train AI. Here Nows Scott Tong talks case Adi Robertson, senior tech policy editor The Verge. This article originally published . 2023 NPR. To more, visit Tags Here Now Facebook Twitter LinkedIn Email Get theHealth News FloridaNewsletter Email address Hurricane Guide The latest news stay informed. Read More Latest Stories Environment A Seffner sinkhole claimed mans life 2013 returned Courts Law Reenactment Parkland school massacre campus allowed lawsuit deputy Courts Law An amicus brief filed appeal challenging Gov. DeSantis executive privilege claims Environment Pinellas County places second state manatee deaths NPR Here 2023 Emmy Award nominations A lost world comes alive Through Groves, memoir preDisney Florida In The Vegan, refreshing hedgefund protagonist Microsoft says Chinese hackers breached email, including U.S. government agencies WUSF 89.7 depends donors funding takes provide trusted source news information town, state, world. Support WUSF giving monthly, onetime donation online. 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https://wwd.com/business-news/business-features/rob-mcgovern-precisetarget-millenial-gen-z-loyalty-1234967338/
2021-10-06T00:00:00
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The Outside View: Reading Fashion’s Data Science Tea Leaves – WWD
The Outside View: Reading Fashion’s Data Science Tea Leaves – WWD Skip to main content X WWD Footwear News Sourcing Journal Beauty Inc Got a Tip? Plus Icon Today's Digital Daily October 06, 2021 WWD My Account Welcome Name Manage Account Log Out Log In Subscribe Sign Up Click to expand the Mega Menu site categories Fashion Business Beauty Men's Runway Sustainability Eye Video Fairchild Live Studio Click to Expand Search Input Plus Icon Click to Close Search Input WWD Click to expand the Mega Menu Menu Target Increases Holiday Pay in Attempt to Compete Amid Retailer Worker Shortage Click to Expand Search Input Plus Icon Click to Close Search Input My Account Welcome Name Manage Account Log Out Log In Subscribe Sign Up Icon Link Plus Icon Today's Digital Daily My Account Welcome Name Manage Account Log Out Log In Subscribe Sign Up WWD Search for: Close the menu My Account Welcome Name Manage Account Log Out Log In Subscribe Sign Up Parent item Expand the sub menu Child item Child item Child item Child item Parent item Expand the sub menu Child item Child item Child item Child item Parent item Expand the sub menu Child item Child item Child item Child item Parent item Expand the sub menu Child item Child item Child item Child item Parent item Expand the sub menu Child item Child item Child item Child item Parent item Expand the sub menu Child item Child item Child item Child item Follow Us Alerts & Newsletters Enter your Email Subscribe Sign Up optional screen reader Advertise About Contact Customer Service Icon Link Plus Icon Copyright © 2021 Penske Business Media, LLC. All rights reserved. © 2021 Penske Media Corporation Sustainability Cartier and Kering Launch Watch and Jewelry Sustainability Pact Sustainability Could We Live in a World Where Luxury Fashion Becomes Zero Waste? Fashion Louis Vuitton RTW Spring 2022 Business Business Features The Outside View: Reading Fashion’s Data Science Tea Leaves Insights about the gathering wave of young fashion shoppers. By Rob McGovern Plus Icon October 6, 2021, 10:15am Share this article on Facebook Share this article on Twitter Share this article on Tumblr Share this article on Pinit + additional share options added Share this article on Reddit Share this article on Linkedin Share this article on Whatsapp Share this article on Email Print this article Share this article on Comment Plus Icon Share Share this article on Facebook Share this article on Twitter Share this article on Tumblr Share this article on Pinit Share this article on Reddit Share this article on Linkedin Share this article on Whatsapp Share this article on Email Print this article Share this article on Comment Young consumers have a new kind of loyalty. Rawpixel.com - stock.adobe.com Share this article on Facebook Share this article on Twitter Share this article on Tumblr Share this article on Pinit + additional share options added Share this article on Reddit Share this article on Linkedin Share this article on Whatsapp Share this article on Email Print this article Share this article on Comment Plus Icon Share Share this article on Facebook Share this article on Twitter Share this article on Tumblr Share this article on Pinit Share this article on Reddit Share this article on Linkedin Share this article on Whatsapp Share this article on Email Print this article Share this article on Comment What does a brand have to do to inspire Millennial and Gen Z loyalty? At PreciseTarget, we used machine learning technologies to look at more than 5 billion purchase transactions spanning more than 2,300 fashion brands. The analysis clearly indicates younger consumers are a brand-switching bunch, although this attribute is often misunderstood by marketers.  These two generations — together, the Gen Zennials — are the product of nonstop social streams, algorithmically designed to stream something new, different and often shocking every time they pick up their phones. Social media created a class of novelty seekers who have a nonstop expectation of new and different. They don’t dislike you, they dislike that you aren’t new. Before writing them off as one-and-done customers, you should know they have remarkable loyalties. They’re loyal to their personal tastes. They might have seven different jeans brands in their closet, but each pair will be remarkably similar to the others.  Related Galleries Beauty Features Backstage at AZ Factory RTW Spring 2022 Street Style They Are Wearing: Paris Fashion Week Spring 2022 Our analysis zeroed in on the 20 to 30 product features — like price, size, color, fabric, style — that make a product unique. It showed young consumers rarely veer outside the white lines of their established tastes. When we looked longitudinally, it also showed that consumer tastes are remarkably stable over time. Over a three-year time span, we saw virtually no changes in tastes at the individual level. We’re data scientists, which means our taste loyalty hypothesis had to be tested. We selected three categories where we observed particularly high negative brand repurchase rates: outwear, footwear and sports apparel. Our pre-test analysis showed consumers were likely to choose a different brand the next time they made a purchase in the category. We worked with a major retailer for the test, which involved machine learning a new set of 1 million transactions.  What did we see? Their young shoppers were indeed brand switchers but remained very loyal to their tastes. How loyal? Eighty-six percent remained in their taste lane in outerwear, 96 percent in footwear and 91 percent in sports apparel.  Conclusion: Young fashion consumers are remarkably consistent in exhibiting two behaviors: they purposefully switch brands and they’re incredibly consistent in selecting new brands that are like their previous brand. Incidentally, we’re also learning that taste-based targeting offers the best advertising performance.  Aside from brand switching, we were compelled to probe deeper into the behaviors of tomorrow’s shopper. The behavioral research revealed young customers want to engage, but on their terms.  PreciseTarget’s Rob McGovern. Gen Z prefer in-store shopping, although they want it aided by their mobile phone, not a sales clerk. Griping about anonymous store visitors “showrooming” is so yesterday.  They’re also the influenced generation. Adweek reports 70 percent of them follow online influencers, and 52 percent trust influencers even when they know the influencer is paid by the brand. Perhaps your future chat bot will be manned by a paid influencer. If you go this route, make sure your influencer is well versed in whether your brand uses sustainable materials, conducts fair labor practices and has real people and bodies in your ads. Your new customer is taste loyal, mobile dependent and socially responsible. What does this mean for brands? The music industry lived through the purchased music-apocalypse, and despite predictions of demise, people are listening to more music than ever. They’re just doing it differently. They’re using AI-powered apps like Spotify, which uses machine learning to understand a consumer’s music tastes. It’s AI streamed to headphones.   Retail will go through an analogous transformative wave. Your new customers will also wear clothes and footwear, but they’ll purchase them differently. Your marketing systems won’t segment them using demographics, rather you’ll segment customers by their machine learned tastes.  Influencers will become an important source of signal data, supplanting the role of yesterday’s fashion show. And your future AI-driven e-commerce site will look and be AI-personalized like Spotify. Young consumers will welcome a more intimate digital relationship with you.   Rob McGovern is chief executive officer and founder of PreciseTarget, a retail data science company that helps brands and retailers connect with their highest-value customers.   MORE FROM WWD:  The Outside View: Halston and Norton Simon’s David Mahoney The Outside View: Fashion’s Paved Path to Carbon Neutrality The Outside View: Fashion’s Rebirth in New York Tags Millennials Outside View Newsletters Sign up for WWD news straight to your inbox every day Sign up Video: How Princess Diana’s Fashion Choices Hinted at What Was Happening Behind Palace Doors Colored Sunglasses Paired With Bold Makeup Looks Fashion Education: A Discussion with Camera Moda, Fendi and Ferragamo Queen Elizabeth II’s Royal Style Secrets Decoded  Video: J Balvin on the Deeper Meaning of the J Balvin x Air Jordan 1 Sneaker Video: The Next Big Hurdle In Sustainable Fashion Video: Do These Outrageous Celebrity Fashion Looks Hold Up? 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The Outside View: Reading Fashion’s Data Science Tea Leaves
The Outside View: Reading Fashions Data Science Tea Leaves WWD Skip main content X WWD Footwear News Sourcing Journal Beauty Got Tip? Plus Icon Todays Digital Daily October 06, 2021 WWD My Account Welcome Name Manage Account Log Out Log In Sign Up Click expand Mega Menu site categories Fashion Business Beauty Mens Runway Sustainability Eye Video Fairchild Live Studio Click Expand Input Plus Icon Click Close Input WWD Click expand Mega Menu Menu Target reases Holiday Pay Attempt Compete Amid Retailer WorkerShortage Click Expand Input Plus Icon Click Close Input My Account Welcome Name Manage Account Log Out Log In Sign Up Icon Link Plus Icon Todays Digital Daily My Account Welcome Name Manage Account Log Out Log In Sign Up WWD for: Close menu My Account Welcome Name Manage Account Log Out Log In Sign Up Parent item Expand sub menu Child item Child item Child item Child item Parent item Expand sub menu Child item Child item Child item Child item Parent item Expand sub menu Child item Child item Child item Child item Parent item Expand sub menu Child item Child item Child item Child item Parent item Expand sub menu Child item Child item Child item Child item Parent item Expand sub menu Child item Child item Child item Child item Alerts Newsletters Enter Email Sign Up optional screen reader Advertise About Customer Service Icon Link Plus Icon 2021 Penske Business Media, LLC. . 2021 Penske Media Corporation Sustainability Cartier Kering Launch Watch Jewelry SustainabilityPact Sustainability Could We Live World Where Luxury Fashion Becomes ZeroWaste? Fashion Louis Vuitton RTW Spring2022 Business Business Features The Outside View: Reading Fashions Data Science TeaLeaves Insights gathering wave young fashion shoppers. By Rob McGovern Plus Icon October 6, 2021, 10:15am Share article Facebook Share article Twitter Share article Tumblr Share article Pinit additional share options added Share article Reddit Share article Linkedin Share article Whatsapp Share article Email Print article Share article Comment Plus Icon Share Share article Facebook Share article Twitter Share article Tumblr Share article Pinit Share article Reddit Share article Linkedin Share article Whatsapp Share article Email Print article Share article Comment Young consumers new kind loyalty. stock. Share article Facebook Share article Twitter Share article Tumblr Share article Pinit additional share options added Share article Reddit Share article Linkedin Share article Whatsapp Share article Email Print article Share article Comment Plus Icon Share Share article Facebook Share article Twitter Share article Tumblr Share article Pinit Share article Reddit Share article Linkedin Share article Whatsapp Share article Email Print article Share article Comment What brand inspire Millennial Gen Z loyalty? At PreciseTarget, machine learning technologies look 5 billion purchase transactions spanning 2,300 fashion brands. The analysis clearly indicates younger consumers brandswitching bunch, attribute misunderstood marketers. These generations together, Gen Zennials product nonstop social streams, algorithmically designed stream new, different shocking time pick phones. Social media created class novelty seekers nonstop expectation new different. They dont dislike you, dislike arent new. Before writing oneanddone customers, know remarkable loyalties. Theyre loyal personal tastes. They seven different jeans brands closet, pair remarkably similar others. Related Galleries Beauty Features Backstage AZ Factory RTW Spring 2022 Street Style They Are Wearing: Paris Fashion Week Spring 2022 Our analysis zeroed 20 30 product features like price, size, color, fabric, style product unique. It showed young consumers rarely veer outside white lines established tastes. When looked longitudinally, showed consumer tastes remarkably stable time. Over threeyear time span, saw virtually changes tastes individual level. Were data scientists, means taste loyalty hypothesis tested. We selected categories observed particularly high negative brand repurchase rates: outwear, footwear sports apparel. Our pretest analysis showed consumers likely choose different brand time purchase category. We worked major retailer test, involved machine learning new set 1 million transactions. What see? Their young shoppers brand switchers remained loyal tastes. How loyal? Eightysix percent remained taste lane outerwear, 96 percent footwear 91 percent sports apparel. Conclusion: Young fashion consumers remarkably consistent exhibiting behaviors: purposefully switch brands theyre incredibly consistent selecting new brands like previous brand. identally, learning tastebased targeting offers best advertising performance. Aside brand switching, compelled probe deeper behaviors tomorrows shopper. The behavioral research revealed young customers want engage, terms. PreciseTargets Rob McGovern. Gen Z prefer instore shopping, want aided mobile phone, sales clerk. Griping anonymous store visitors showrooming yesterday. Theyre influenced generation. Adweek reports 70 percent follow online influencers, 52 percent trust influencers know influencer paid brand. Perhaps future chat bot manned paid influencer. If route, sure influencer versed brand uses sustainable materials, conducts fair labor practices real people bodies ads. Your new customer taste loyal, mobile dependent socially responsible. What mean brands? The music industry lived purchased musicapocalypse, despite predictions demise, people listening music ever. Theyre differently. Theyre AIpowered apps like Spotify, uses machine learning understand consumers music tastes. Its AI streamed headphones. Retail analogous transformative wave. Your new customers wear clothes footwear, theyll purchase differently. Your marketing systems wont segment demographics, youll segment customers machine learned tastes. Influencers important source signal data, supplanting role yesterdays fashion show. And future AIdriven ecommerce site look AIpersonalized like Spotify. Young consumers welcome intimate digital relationship you. Rob McGovern chief executive officer founder PreciseTarget, retail data science company helps brands retailers connect highestvalue customers. MORE FROM WWD: The Outside View: Halston Norton Simons David Mahoney The Outside View: Fashions Paved Path Carbon Neutrality The Outside View: Fashions Rebirth New York Tags Millennials Outside View Newsletters Sign WWD news straight inbox day Sign Video: How Princess Dianas Fashion Choices Hinted What Was Happening Behind PalaceDoors Colored Sunglasses Paired With Bold Makeup Looks Fashion Education: A Discussion Camera Moda, Fendi Ferragamo Queen Elizabeth IIs Royal Style Secrets Decoded Video: J Balvin Deeper Meaning J Balvin x Air Jordan 1 Sneaker Video: The Next Big Hurdle In Sustainable Fashion Video: Do These Outrageous Celebrity Fashion Looks Hold Up? Video: Bob Drag Queen Grades Legendary Fashion Looks Video: Inside Strange Spring 2021 Paris Fashion Week Video: Supreme Court Style: Inside Legacy Ruth Bader Ginsburgs Collars Video: The Origins French Girl Style la Chanel Video: WWD Presents Creating Queer Video: SNL Star Chloe Fineman Grades Celebrity Looks, From Catherine ZetaJones JoJo Siwa Video: Milan Digital Fashions Weeks Spring 2021 Trends Major Moments Video: Spring 2021 Trends Highlights From New York Fashion Week Video: Instagrams Top Dog Fashion Influencer Launches Handbag Line Video: The Big Flower Fight Head Judge Grades Iconic Celebrity Floral Looks Video: Model Shaun Ross Talks Diversity Fashion Industry Video: Everything You Need Know About Paris Digital Fashion Week Video: Black Unison, The Voices Stylists Black Unison Panel Video Series: Trailer WWD Roundtable Video: A Discussion Racial Equality Fashion Industry 19:14 Video: Inside Fashion Students Senior Thesis Collections Video: Margaret Cho Grades Celebrity Loungewear Outfits Video: Kanye Wests Daughter North Performs Yeezy Season 8 Fashion Show Video: Fortune Feimster Grades 2020 Democratic Candidates Fashion Style Video: Watch Diors Fall 2020 Fashion Show Video: The Milan Fashion Week Fall 2020 Fashion Trends You Need Know Video: The Exciting Trends LessThanThrilling NYFW Video: Behind Scenes Christian Cowans Fall 2020 Collection Video: The Carolina Herrera NYFW Fall 2020 Fashion Show Video: NYFW Fall 2020 Fashion Trends Highlights Video: Inside Nikes Future Sport Forum Extravaganza Video: Watch Valentino Haute Couture Spring 2020 Show Video: Watch Chanel Haute Couture Spring 2020 Show Video: Watch Louis Vuitton Fall 2020 Mens Show Video: How Ashley Graham Changed Fashion Industry Video: The Bachelorette Hannah Brown Grades Iconic Celebrity Couples Looks Video: The Best Worst 2019 Fashion Trends Video: The Spring 2020 It Bags You Need Know Video: Fabien Baron Kate Moss, Madonna More Video: A Photographers Guide Paris Fashion Week Video: Kim Petras Critiques Iconic Celeb Looks, From Elton John Britney Spears Video: Talking Fashion With Jenny Slate Video: The Best Worst Celebrity Halloween Costumes Video: Monique Lhuillier Takes Us Inside Her Madison Avenue Flagship Video: How Vera Wang Is Giving Back Military Brides Video: Nordstroms New NYC Flagship Has 7 Levels 320,000 Square Feet Video: President Donald Trump, Ivanka Trump Attend Louis Vuitton Factory RibbonCutting Ceremony Video: The MFW Spring 2020 Fashion Trends You Need Know Video: The Top 9 Models Look Out During Spring 2020 Fashion Shows Most Popular Hanros Eyes Wide Shut Tank Top Returns With Few Added Features Blackpinks Jennie, Kristen Stewart Snap Selfies Chanel Russian Princess Wears Reem Acra Wedding Gown She Bought Herself Billie Eilish Teams With Nike Sustainable Sneakers Donatella Versace, Kim Jones Why Swapping Brands Is Brave WWD Get news stories alerts straight inbox. 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https://www.01net.it/c3-ai-on-the-financial-times-list-of-fastest-growing-companies/
2022-04-13T00:00:00
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C3 AI on The Financial Times’ List of Fastest Growing Companies
C3 AI on The Financial Times’ List of Fastest Growing Companies 5G Big Data Cloud IoT Prodotti Hardware Mobile Networking e TLC Sicurezza Software Storage Soluzioni Agricoltura Architettura / Design Automotive Manufacturing Retail e-Health Smart Home Utilities Apple Webinar Podcast Contatti Iscriviti alla newsletter White paper Mappa dei system integrator Cerca Contatti Iscriviti alla newsletter White paper Mappa dei system integrator 01net 5G Big Data Cloud IoT Prodotti Hardware Mobile Networking e TLC Sicurezza Software Storage Soluzioni Agricoltura Architettura / Design Automotive Manufacturing Retail e-Health Smart Home Utilities Apple Webinar Podcast Home Business Wire C3 AI on The Financial Times’ List of Fastest Growing Companies Business Wire C3 AI on The Financial Times’ List of Fastest Growing Companies di Business Wire 13 Aprile 2022 Share Facebook Twitter Linkedin Telegram Pinterest WhatsApp Email Print REDWOOD CITY, Calif.–(BUSINESS WIRE)–C3 AI (NYSE: AI), the Enterprise AI software company, has been named to The Financial Times List of The Americas’ Fastest Growing Companies 2022. This marks the second consecutive year on this prestigious list for C3 AI. The FT ranking of The Americas’ Fastest Growing Companies captures the resilience of businesses as they adapted to the initial onslaught of the Covid pandemic in 2020. The list includes Americas’ companies with the strongest revenue growth between 2017 and 2020. The ranking is presented by The Financial Times and Statista. About C3.ai, Inc. C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Application Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications and C3 AI Applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally. Learn more at: www.c3.ai. Contacts C3 AI Public RelationsEdelman Lisa Kennedy 415-914-8336 [email protected] Investor [email protected] Articoli correlati Insa Welcomes Customers to a New Reality of Cannabis for Industry’s Biggest Day of the Year – 4/20 Business Wire Business Wire - 13 Aprile 2022 CHICOPEE, Mass.--(BUSINESS WIRE)--Insa, a leader in medical and adult-use cannabis in Massachusetts, announced its plans for their annual April... Continua a leggere BUCKETS Teams with The Volume for Comprehensive NBA Playoffs Coverage Business Wire Business Wire - 13 Aprile 2022 The Volume’s “Jenkins & Jonez” Join the Hosts of BUCKETS’ “Outta Pocket” for Limited-run Crossover Series “Jenkins & Jonez are... Continua a leggere Windstream Wholesale, the ‘Fast & Flexible’ Provider, Announces New Brand Business Wire Business Wire - 13 Aprile 2022 LITTLE ROCK, Ark.--(BUSINESS WIRE)--Windstream Wholesale, a leading provider of advanced optical solutions, today announced a new brand identity to... Continua a leggere Se questo articolo ti è piaciuto e vuoi rimanere sempre informato sulle novità tecnologiche iscriviti alla newsletter CHI SIAMOContatti New Business Media Tecniche NuoveSEGUICI Disclaimer e note legali Privacy Informativa estesa sui cookie © New Business Media Srl - Via Eritrea 21, 20157 Milano - Codice fiscale, Partita IVA e Iscrizione al Registro delle imprese di Milano: 08449540965.Testata giornalistica registrata presso il Tribunale di Milano, nº 13602 del 15/12/2020. ALTRE STORIE Insa Welcomes Customers to a New Reality of Cannabis for Industry’s Biggest Day of... Business Wire 13 Aprile 2022
C3 AI on The Financial Times’ List of Fastest Growing Companies
C3 AI The Financial Times List Fastest Growing Companies 5G Big Data Cloud IoT Prodotti Hardware Mobile Networking e TLC Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Apple Webinar Podcast Contatti Iscriviti alla newsletter White paper Mappa dei integrator Cerca Contatti Iscriviti alla newsletter White paper Mappa dei integrator 01net 5G Big Data Cloud IoT Prodotti Hardware Mobile Networking e TLC Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Apple Webinar Podcast Home Business Wire C3 AI The Financial Times List Fastest Growing Companies Business Wire C3 AI The Financial Times List Fastest Growing Companies di Business Wire 13 Aprile 2022 Share Facebook Twitter Linkedin Telegram Pinterest WhatsApp Email Print REDWOOD CITY, Calif.BUSINESS WIREC3 AI NYSE: AI, Enterprise AI software company, named The Financial Times List The Americas Fastest Growing Companies 2022. This marks second consecutive year prestigious list C3 AI. The FT ranking The Americas Fastest Growing Companies captures resilience businesses adapted initial onslaught Covid pandemic 2020. The list includes Americas companies strongest revenue growth 2017 2020. The ranking presented The Financial Times Statista. About C3.ai, . C3 AI Enterprise AI application software company. C3 AI delivers family fully integrated products including C3 AI Application Platform, endtoend platform developing, deploying, operating enterprise AI applications C3 AI Applications, portfolio industryspecific SaaS enterprise AI applications enable digital transformation organizations globally. Learn at: C3 AI Public RelationsEdelman Lisa Kennedy 4159148336 pr Investor RelationsIR Articoli correlati Insa Welcomes Customers New Reality Cannabis Industrys Biggest Day Year 420 Business Wire Business Wire 13 Aprile 2022 CHICOPEE, Mass.BUSINESS WIREInsa, leader medical adultuse cannabis Massachusetts, announced plans annual April... Continua leggere BUCKETS Teams The Volume Comprehensive NBA Playoffs Coverage Business Wire Business Wire 13 Aprile 2022 The Volumes Jenkins Jonez Join Hosts BUCKETS Outta Pocket Limitedrun Crossover Series Jenkins Jonez are... Continua leggere Windstream Wholesale, Fast Flexible Provider, Announces New Brand Business Wire Business Wire 13 Aprile 2022 LITTLE ROCK, Ark.BUSINESS WIREWindstream Wholesale, leading provider advanced optical solutions, today announced new brand identity to... Continua leggere Se questo articolo ti piaciuto e vuoi rimanere sempre informato sulle novit tecnologiche iscriviti alla newsletter CHI SIAMOContatti New Business Media Tecniche NuoveSEGUICI Disclaimer e note legali Privacy Informativa estesa sui cookie New Business Media Srl Via Eritrea 21, 20157 Milano Codice fiscale, Partita IVA e Iscrizione al Registro delle imprese di Milano: 08449540965.Testata giornalistica registrata presso il Tribunale di Milano, n 13602 del 15122020. ALTRE STORIE Insa Welcomes Customers New Reality Cannabis Industrys Biggest Day of... Business Wire 13 Aprile 2022
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https://www.01net.it/socure-featured-on-aifintech100-list-of-the-worlds-most-innovative-ai-solution-providers/
2021-09-07T00:00:00
en
Socure Featured on AIFinTech100 List of the World’s Most Innovative AI Solution Providers
Socure Featured on AIFinTech100 List of the World’s Most Innovative AI Solution Providers 5G Big Data Cloud IoT Prodotti Hardware Mobile Networking e TLC Sicurezza Software Storage Soluzioni Agricoltura Architettura / Design Automotive Manufacturing Retail e-Health Smart Home Utilities Apple DVB-T2 Test Intelligenza Artificiale Think Tank White paper Iscriviti alla newsletter Cerca Think Tank White paper Iscriviti alla newsletter 01net 5G Big Data Cloud IoT Prodotti Hardware Mobile Networking e TLC Sicurezza Software Storage Soluzioni Agricoltura Architettura / Design Automotive Manufacturing Retail e-Health Smart Home Utilities Apple DVB-T2 Test Intelligenza Artificiale Home Business Wire Socure Featured on AIFinTech100 List of the World’s Most Innovative AI Solution... Business Wire Socure Featured on AIFinTech100 List of the World’s Most Innovative AI Solution Providers di Business Wire 7 Settembre 2021 Share Facebook Twitter Linkedin Telegram Pinterest WhatsApp Email Print FinTech Global recognizes Socure’s identity verification technology leadership in utilizing advanced AI and ML to deliver unmatched auto-approval rates and accuracy NEW YORK–(BUSINESS WIRE)–#dataprotection—Socure, the leading provider of digital identity verification and fraud solutions, today announced that FinTech Global has named the company as one of the world’s most innovative AI solution providers on its inaugural AIFinTech100 list for 2021. The list identifies the top 100 companies developing AI applications in financial services that every financial institution needs to know about as they develop their digital transformation strategies. “The ability to facilitate frictionless onboarding of customers using AI is more important than ever, given the rapid digital acceleration and scale spurred by the pandemic,” said founder and CEO of Socure, Johnny Ayers. “Socure’s identity verification and fraud solution delivers an auto-approval rate of up to 98% for mainstream populations, and up to 94% for the hard-to-identify populations such as Gen Z, millennial, credit invisible, thin-file, gender neutral, and new-to-country. Our identity resolution ML engine analyzes over eight billion records and more than 530 million good and bad identities to achieve the industry’s most accurate and equitable view of identity possible.” The standout companies were chosen by a panel of industry experts and analysts who reviewed a study of over 1,000 fintech companies undertaken by FinTech Global. The solution providers making the final list were recognized for their innovative use of technology to solve a significant industry problem, or to generate cost savings or efficiency improvements across the financial services value chain. FinTech Global director Richard Sachar said, “Now, more than ever, established financial institutions need to be aware of the latest AI and data analytics technology innovations in the market to ensure they deliver competitive financial products and reach new customers.” “The AIFinTech100 list helps senior management filter through all the solution providers in the market by highlighting the most innovative artificial intelligence companies in areas such as Insurance, Banking, Investment & Trading, Lending, Customer Experience, Compliance, and Fraud Prevention,” he added. Socure recently announced record financial results – achieving 126% annual recurring revenue growth, booking growth of 285% in the second quarter of 2021 as compared to the same quarter of 2020, and a net retention rate of 177% driven by near-zero attrition. In 2020, Socure was also named to FinTech Global’s RegTech 100 List, which recognizes the world’s top 100 most innovative RegTech companies shaping the future of the compliance, risk management, and cybersecurity industries. The full AIFinTech100 2021 list is published online at www.AIFinTech100.com. About FinTech Global FinTech Global offers the most comprehensive data, the most valuable insights and the most powerful analytical tools available for the global FinTech industry. FinTech Global works with market leaders in the FinTech industry – investors, advisors, innovative companies and financial institutions – and enables them to get the essential intelligence they need to make superior business decisions. About Socure Socure is the leading platform for digital identity verification and trust. Its predictive analytics platform applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real time. The company has more than 600 customers across the financial services, gaming, healthcare, telecom, and e-commerce industries, including four of the top five banks, seven of the top 10 card issuers, three of the top MSBs, the top payroll provider, the top credit bureau, top crypto exchanges, top Buy Now, Pay Later providers, the largest online gaming operators, and over 150 of the largest fintechs. Marquee customers include Chime, Varo Money, Public, Stash, and DraftKings. Investors include Accel, Commerce Ventures, Scale Venture Partners, Flint Capital, Capital One Ventures, Citi Ventures, Wells Fargo Strategic Capital, Synchrony, Sorenson, Two Sigma Ventures, and others. Socure has received numerous industry awards and accolades, including being named to 2021 Forbes Cloud 100 List, Forbes’ Fintech 50 List 2021, Forbes’ America’s Best Startup Employers 2021, being awarded Best New Technology Introduced Over the Last 12 Months—Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked number 70 in Deloitte’s Technology Fast 500™, being listed as a Gartner Cool Vendor, being recognized by Forbes as one of the Top 25 Machine Learning Startups to Watch, being named to CB Insights: The Fintech 250, and being awarded Finovate’s Award for Best Use of AI/ML, to name a few. Contacts Angela Griffo Socure 917-915-8563 [email protected] Articoli correlati Mastercard Expands Open Banking Reach with Acquisition of Aiia Business Wire Business Wire - 7 Settembre 2021 Customer-Focused Connectivity Across Europe, Innovative Technology, Experienced Local Teams PURCHASE, N.Y.--(BUSINESS WIRE)--Mastercard (NYSE: MA) today announced it has entered into... Continua a leggere Minnesota Virtual Academy Is Ready to Help Students Get Back on Track Business Wire Business Wire - 7 Settembre 2021 HOUSTON, Minn.--(BUSINESS WIRE)--#BTS--Minnesota Virtual Academy (MNVA), a full-time, tuition-free public-school program of the Houston Public School District is ready... Continua a leggere aPriori Raises $30 Million Series D Investment to Further Capitalize on Strong Demand for Digital Manufacturing Solutions Business Wire Business Wire - 7 Settembre 2021   CONCORD, Mass.--(BUSINESS WIRE)--#DFM--aPriori Technologies, the leading provider of digital manufacturing software featuring design for manufacturability (DFM) and cost (DTC)... Continua a leggere Se questo articolo ti è piaciuto e vuoi rimanere sempre informato sulle novità tecnologiche iscriviti alla newsletter CHI SIAMOContatti New Business Media Tecniche NuoveSEGUICI Disclaimer e note legali Privacy Informativa estesa sui cookie © New Business Media Srl - Via Eritrea 21, 20157 Milano - Codice fiscale, Partita IVA e Iscrizione al Registro delle imprese di Milano: 08449540965.Testata giornalistica registrata presso il Tribunale di Milano, nº 13602 del 15/12/2020. ALTRE STORIE Il Dipartimento per la trasformazione digitale è alla ricerca di esperti Lavoro 7 Settembre 2021
Socure Featured on AIFinTech100 List of the World’s Most Innovative AI Solution Providers
Socure Featured AIFinTech100 List Worlds Most Innovative AI Solution Providers 5G Big Data Cloud IoT Prodotti Hardware Mobile Networking e TLC Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Apple DVBT2 Test Intelligenza Artificiale Think Tank White paper Iscriviti alla newsletter Cerca Think Tank White paper Iscriviti alla newsletter 01net 5G Big Data Cloud IoT Prodotti Hardware Mobile Networking e TLC Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Apple DVBT2 Test Intelligenza Artificiale Home Business Wire Socure Featured AIFinTech100 List Worlds Most Innovative AI Solution... Business Wire Socure Featured AIFinTech100 List Worlds Most Innovative AI Solution Providers di Business Wire 7 Settembre 2021 Share Facebook Twitter Linkedin Telegram Pinterest WhatsApp Email Print FinTech Global recognizes Socures identity verification technology leadership utilizing advanced AI ML deliver unmatched autoapproval rates accuracy NEW YORKBUSINESS WIREdataprotectionSocure, leading provider digital identity verification fraud solutions, today announced FinTech Global named company worlds innovative AI solution providers inaugural AIFinTech100 list 2021. The list identifies 100 companies developing AI applications financial services financial institution needs know develop digital transformation strategies. The ability facilitate frictionless onboarding customers AI important ever, given rapid digital acceleration scale spurred pandemic, said founder CEO Socure, Johnny Ayers. Socures identity verification fraud solution delivers autoapproval rate 98 mainstream populations, 94 hardtoidentify populations Gen Z, millennial, credit invisible, thinfile, gender neutral, newtocountry. Our identity resolution ML engine analyzes billion records 530 million good bad identities achieve industrys accurate equitable view identity possible. The standout companies chosen panel industry experts analysts reviewed study 1,000 fintech companies undertaken FinTech Global. The solution providers making final list recognized innovative use technology solve significant industry problem, generate cost savings efficiency improvements financial services value chain. FinTech Global director Richard Sachar said, Now, ever, established financial institutions need aware latest AI data analytics technology innovations market ensure deliver competitive financial products reach new customers. The AIFinTech100 list helps senior management filter solution providers market highlighting innovative artificial intelligence companies areas Insurance, Banking, Investment Trading, Lending, Customer Experience, Compliance, Fraud Prevention, added. Socure recently announced record financial results achieving 126 annual recurring revenue growth, booking growth 285 second quarter 2021 compared quarter 2020, net retention rate 177 driven nearzero attrition. In 2020, Socure named FinTech Globals RegTech 100 List, recognizes worlds 100 innovative RegTech companies shaping future compliance, risk management, cybersecurity industries. The AIFinTech100 2021 list published online About FinTech Global FinTech Global offers comprehensive data, valuable insights powerful analytical tools available global FinTech industry. FinTech Global works market leaders FinTech industry investors, advisors, innovative companies financial institutions enables essential intelligence need superior business decisions. About Socure Socure leading platform digital identity verification trust. Its predictive analytics platform applies artificial intelligence machine learning techniques trusted onlineoffline data intelligence email, phone, address, IP, device, velocity, broader internet verify identities real time. The company 600 customers financial services, gaming, healthcare, telecom, ecommerce industries, including banks, seven 10 card issuers, MSBs, payroll provider, credit bureau, crypto exchanges, Buy Now, Pay Later providers, largest online gaming operators, 150 largest fintechs. Marquee customers include Chime, Varo Money, Public, Stash, DraftKings. Investors include Accel, Commerce Ventures, Scale Venture Partners, Flint Capital, Capital One Ventures, Citi Ventures, Wells Fargo Strategic Capital, Synchrony, Sorenson, Two Sigma Ventures, others. Socure received numerous industry awards accolades, including named 2021 Forbes Cloud 100 List, Forbes Fintech 50 List 2021, Forbes Americas Best Startup Employers 2021, awarded Best New Technology Introduced Over Last 12 MonthsData Data Services 2020 American Financial Technology Awards AFTAs, ranked number 70 Deloittes Technology Fast 500, listed Gartner Cool Vendor, recognized Forbes Top 25 Machine Learning Startups Watch, named CB Insights: The Fintech 250, awarded Finovates Award Best Use AIML, few. Angela Griffo Socure 9179158563 angela.griffo Articoli correlati Mastercard Expands Open Banking Reach Acquisition Aiia Business Wire Business Wire 7 Settembre 2021 CustomerFocused Connectivity Across Europe, Innovative Technology, Experienced Local Teams PURCHASE, N.Y.BUSINESS WIREMastercard NYSE: MA today announced entered into... Continua leggere Minnesota Virtual Academy Is Ready Help Students Get Back Track Business Wire Business Wire 7 Settembre 2021 HOUSTON, Minn.BUSINESS WIREBTSMinnesota Virtual Academy MNVA, fulltime, tuitionfree publicschool program Houston Public School District ready... Continua leggere aPriori Raises 30 Million Series D Investment Further Capitalize Strong Demand Digital Manufacturing Solutions Business Wire Business Wire 7 Settembre 2021 CONCORD, Mass.BUSINESS WIREDFMaPriori Technologies, leading provider digital manufacturing software featuring design manufacturability DFM cost DTC... Continua leggere Se questo articolo ti piaciuto e vuoi rimanere sempre informato sulle novit tecnologiche iscriviti alla newsletter CHI SIAMOContatti New Business Media Tecniche NuoveSEGUICI Disclaimer e note legali Privacy Informativa estesa sui cookie New Business Media Srl Via Eritrea 21, 20157 Milano Codice fiscale, Partita IVA e Iscrizione al Registro delle imprese di Milano: 08449540965.Testata giornalistica registrata presso il Tribunale di Milano, n 13602 del 15122020. ALTRE STORIE Il Dipartimento la trasformazione digitale alla ricerca di esperti Lavoro 7 Settembre 2021
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https://www.1011now.com/prnewswire/2022/12/19/virtus-artificial-intelligence-amp-technology-opportunities-fund-discloses-sources-distribution-section-19a-notice/
2022-12-19T00:00:00
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Virtus Artificial Intelligence & Technology Opportunities Fund Discloses Sources of Distribution - Section 19(a) Notice
Virtus Artificial Intelligence & Technology Opportunities Fund Discloses Sources of Distribution - Section 19(a) Notice Skip to contentNewsWeatherSportsPure NebraskaContact UsLive NewscastsVideoHomeNewsEducationNationalElectionCoronavirusCrimeNews VideoLive NewscastsWeatherClosingsInteractive RadarWatch 10/11 24/7 WeatherWeather Shield Request FormWeather CamerasDownload the Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan Care-A-VanContact UsMeet the TeamSubmit a News TipCareersAdvertise With Us10/11 24/7 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos and VideosCircle - Country Music & LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesBREAKING: Person hospitalized after crash north of Lincoln Dismiss Breaking News Alerts BarClosings and DelaysDismiss Closings Alerts Bar23 weather alerts in effectDismiss Weather Alerts Alerts BarVirtus Artificial Intelligence & Technology Opportunities Fund Discloses Sources of Distribution - Section 19(a) NoticePublished: Dec. 19, 2022 at 3:30 PM CST|Updated: 1 hour agoHARTFORD, Conn., Dec. 19, 2022 /PRNewswire/ -- Virtus Artificial Intelligence & Technology Opportunities Fund (NYSE: AIO) previously announced the following monthly distribution on September 8, 2022:(PRNewsfoto/Virtus Funds)(PRNewswire)Amount of Distribution         Ex-DateRecord DatePayable Date$0.15December 9, 2022December 12, 2022January 3, 2023Under the terms of its Managed Distribution Plan, the Fund will seek to maintain a consistent distribution level that may be paid, in part or in full, from net investment income and realized capital gains, or a combination thereof. Shareholders should note, however, that if the Fund's aggregate net investment income and net realized capital gains are less than the amount of the distribution level, the difference will be distributed from the Fund's assets and will constitute a return of the shareholder's capital. You should not draw any conclusions about the Fund's investment performance from the amount of this distribution or from the terms of the Fund's Managed Distribution Plan.The Fund estimates that it has distributed more than its income and capital gains; therefore, a portion of your distribution may be a return of capital.  A return of capital may occur, for example, when some or all of the money that you invested in the Fund is paid back to you.  A return of capital distribution does not necessarily reflect the Fund's investment performance and should not be confused with 'yield' or 'income'.The Fund provided this estimate of the sources of the distributions:Distribution EstimatesDecember 2022 (MTD)Fiscal Year-to-Date (YTD)(1)  (Sources)Per ShareAmountPercentage of Current DistributionPer Share AmountPercentageof Current DistributionNet Investment Income$             -0.0 %$             -0.0 %Net Realized Short-Term Capital Gains-0.0 %0.49530.0 %Net Realized Long-Term Capital Gains-0.0 %0.88753.8 %Return of Capital (or other Capital Source)0.150100.0 %0.26816.2 %Total Distribution$     0.150100.0 %$     1.650100.0 %(1)Fiscal year started February 1, 2022Information regarding the Fund's performance and distribution rates is set forth below. Please note that all performance figures are based on the Fund's NAV and not the market price of the Fund's shares. Performance figures are not meant to represent individual shareholder performance.November 30, 2022Average Annual Total Return on NAV for the 5-year period (2)12.42 %Annualized Current Distribution Rate (3)8.95 %Fiscal YTD Cumulative Total Return on NAV (4)-10.55 %Fiscal YTD Cumulative Distribution Rate (5)7.46 %(2)Average Annual Total Return on NAV is the annual compound return for the five-year period. It reflects the change in the Fund's NAV and reinvestment of all distributions. AIO incepted October 31, 2019, and thus returns represent inception to date returns.(3)Annualized Current Distribution Rate is the current distribution rate annualized as a percentage of the Fund's NAV at month end.(4)Fiscal YTD Cumulative Total Return on NAV is the percentage change in the Fund's NAV from the first day of the fiscal year to this month end, including distributions paid and assuming reinvestment of those distributions.(5)Fiscal YTD Cumulative Distribution Rate is the dollar value of distributions from the first day of the fiscal year to this month end as a percentage of the Fund's NAV at month end.The amounts and sources of distributions reported in this notice are estimates only and are not being provided for tax reporting purposes. The actual amounts and sources of the distributions for tax purposes will depend on the Fund's investment experience during the remainder of its fiscal year and may be subject to changes based on tax regulations. The Fund or your broker will send you a Form 1099-DIV for the calendar year that will tell you what distributions to report for federal income tax purposes.About the FundVirtus Artificial Intelligence & Technology Opportunities Fund is a diversified closed-end fund that seeks to provide total return through a combination of current income, current gains, and long-term capital appreciation. A multi-asset approach based on fundamental research is employed, dynamically allocating to attractive segments of a company's debt and equity in order to offer an attractive risk/reward profile. Virtus Investment Advisers, Inc. is the investment adviser to the Fund and Voya Investment Management  is its subadviser.For more information on the Fund, contact shareholder services at (866) 270-7788, by email at [email protected], or through the Closed-End Funds section of virtus.com.Fund RisksAn investment in a fund is subject to risk, including the risk of possible loss of principal. A fund's shares may be worth less upon their sale than what an investor paid for them. Shares of closed-end funds may trade at a premium or discount to their net asset value. For more information about the Fund's investment objective and risks, please see the Fund's annual report. A copy of the Fund's most recent annual report may be obtained free of charge by contacting "Shareholder Services" as set forth at the end of this press release.View original content to download multimedia:https://www.prnewswire.com/news-releases/virtus-artificial-intelligence--technology-opportunities-fund-discloses-sources-of-distribution--section-19a-notice-301706502.htmlSOURCE Virtus Artificial Intelligence & Technology Opportunities FundThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherLive NewscastsLive EventsSports1011 CaresContact UsKOLN840 North 40thLincoln, NE 68503(402) 467-4321Public Inspection [email protected] - (402) 467-4321FCC ApplicationsPrivacy PolicyTerms of ServiceEEO StatementAdvertisingClosed Captioning/Audio DescriptionA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
Virtus Artificial Intelligence & Technology Opportunities Fund Discloses Sources of Distribution
Virtus Artificial Intelligence amp; Technology Opportunities Fund Discloses Sources Distribution Section 19a Notice Skip contentNewsWeatherSportsPure Nebraska UsLive NewscastsVideoHomeNewsEducationNationalElectionCoronavirusCrimeNews VideoLive NewscastsWeatherClosingsInteractive RadarWatch 1011 247 WeatherWeather Shield Request FormWeather CamerasDownload Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan CareAVan UsMeet TeamSubmit News TipCareersAdvertise With Us1011 247 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos VideosCircle Country Music LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesBREAKING: Person hospitalized crash north Lincoln Dismiss Breaking News Alerts BarClosings DelaysDismiss Closings Alerts Bar23 weather alerts effectDismiss Weather Alerts Alerts BarVirtus Artificial Intelligence Technology Opportunities Fund Discloses Sources Distribution Section 19a NoticePublished: Dec. 19, 2022 3:30 PM CSTUpdated: 1 hour agoHARTFORD, Conn., Dec. 19, 2022 PRNewswire Virtus Artificial Intelligence Technology Opportunities FundNYSE: AIOpreviously announced following monthly distribution September 8, 2022:PRNewsfotoVirtus FundsPRNewswireAmount Distribution ExDateRecord DatePayable Date0.15December 9, 2022December 12, 2022January 3, 2023Under terms Managed Distribution Plan, Fund seek maintain consistent distribution level paid, full, net investment income realized capital gains, combination thereof. Shareholders note, however, Funds aggregate net investment income net realized capital gains distribution level, difference distributed Funds assets constitute return shareholders capital. You draw conclusions Funds investment performance distribution terms Funds Managed Distribution Plan.The Fund estimates distributed income capital gains; therefore, portion distribution return capital. A return capital occur, example, money invested Fund paid you. A return capital distribution necessarily reflect Funds investment performance confused yield income.The Fund provided estimate sources distributions:Distribution EstimatesDecember 2022 MTDFiscal YeartoDate YTD1 SourcesPer ShareAmountPercentage Current DistributionPer Share AmountPercentageof Current DistributionNet Investment ome 0.0 0.0Net Realized ShortTerm Capital Gains0.00.49530.0Net Realized LongTerm Capital Gains0.00.88753.8Return Capital Capital Source0.150100.00.26816.2Total Distribution 0.150100.0 1.650100.01Fiscal year started February 1, 2022Information Funds performance distribution rates set forth below. Please note performance figures based Funds NAV market price Funds shares. Performance figures meant represent individual shareholder performance.November 30, 2022Average Annual Total Return NAV 5year period 212.42Annualized Current Distribution Rate 38.95Fiscal YTD Cumulative Total Return NAV 410.55Fiscal YTD Cumulative Distribution Rate 57.462Average Annual Total Return NAV annual compound return fiveyear period.It reflects change Funds NAV reinvestment distributions. AIO incepted October 31, 2019, returns represent inception date returns.3Annualized Current Distribution Rate current distribution rate annualized percentage Funds NAV month end.4Fiscal YTD Cumulative Total Return NAV percentage change Funds NAV day fiscal year month end, including distributions paid assuming reinvestment distributions.5Fiscal YTD Cumulative Distribution Rate dollar value distributions day fiscal year month end percentage Funds NAV month end.Theamounts sources distributionsreported inthis noticeareestimates notbeingprovided tax reportingpurposes.The actualamounts sources distributions tax purposes willdepend theFunds investmentexperience theremainder ofits fiscalyear subjectto changes based taxregulations.The Fund broker willsend Form1099DIV forthecalendaryearthatwilltellyou distributions reportfor federal income tax purposes.About FundVirtus Artificial Intelligence Technology Opportunities Fundis diversified closedend fund seeks provide total return combination current income, current gains, longterm capital appreciation. A multiasset approach based fundamental research employed, dynamically allocating attractive segments companys debt equity order offer attractive riskreward profile. Virtus Investment Advisers, . investment adviser Fund Voya Investment Management subadviser.For information Fund, contact shareholder services 866 2707788, email closedendfunds ClosedEnd Funds section .Fund RisksAn investment fund subject risk, including risk possible loss principal. A funds shares worth sale investor paid them. Shares closedend funds trade premium discount net asset value. For information Funds investment objective risks, Funds annual report. A copy Funds recent annual report obtained free charge contacting Shareholder Services set forth end press release.View original content download multimedia: Virtus Artificial Intelligence Technology Opportunities FundThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherLive NewscastsLive EventsSports1011 Cares UsKOLN840 North 40thLincoln, NE 68503402 4674321Public Inspection Filepublicfile 402 4674321FCC ApplicationsEEO StatementAdvertisingClosed CaptioningAudio DescriptionA Gray Media Group, . Station 20022022 Gray Television, .
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Evisort Enters New Era with Generative AI for Contract Intelligence
Evisort Enters New Era with Generative AI for Contract Intelligence Skip to contentNewsWeatherSportsPure NebraskaContact UsLive NewscastsVideoHomeNewsEducationNationalElectionCoronavirusCrimeNews VideoLive NewscastsWeatherClosingsInteractive RadarWatch 10/11 24/7 WeatherWeather Shield Request FormWeather CamerasDownload the Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan Care-A-VanContact UsMeet the TeamSubmit a News TipCareersAdvertise With Us10/11 24/7 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos and VideosCircle - Country Music & LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesClosings and DelaysDismiss Closings Alerts Bar18 weather alerts in effectDismiss Weather Alerts Alerts BarEvisort Enters New Era with Generative AI for Contract IntelligencePublished: Dec. 20, 2022 at 1:08 PM CST|Updated: 1 hour agoEvisort AI Labs is pioneering new ways to draft and negotiate contracts with generative AISAN FRANCISCO, Dec. 20, 2022 /PRNewswire/ -- Evisort, the no-code contract intelligence platform beloved by legal, procurement and sales operation teams worldwide, is entering a new era with the launch of the industry's first generative artificial intelligence (AI) capabilities. Evisort's reimagined AI technology provides transparent, understandable contract recommendations to drive decision-making and contract execution.Evisort(PRNewswire)Evisort's generative AI builds upon its existing AI capabilities by creating entirely new content. The Evisort AI Labs' innovation empowers legal and contracting professionals to use Large Language Models to draft, redline and negotiate contracts automatically — freeing up time for strategic counseling. Evisort AI Labs' technology can also suggest edits that speed re-negotiations on existing complicated contracts."Generative AI is the natural next step to enable decision execution that makes contract management easier. Rapid advances in cloud computing and machine learning developed over the last decade have enabled Evisort to create this innovation," said Evisort Co-Founder and CTO Amine Anoun.Evisort debuted the new capability publicly on December 18. Legal professionals and business stakeholders can use Evisort's generative AI to compare proposed language to accepted guidelines and direct the system to automatically rewrite using their own common language for unsuitable clauses, drastically speeding up contract negotiation and providing better business outcomes. The technology gives complete visibility into the data and intelligence behind every automated contract negotiation recommendation. Generative AI use cases include streamlining sales, vendor onboarding, and supply chain contracting."Before going to Harvard Law, I was in sales. One step required for signing a new deal is waiting for legal contract approval, and at the end of the quarter, that gets tough for both sales and legal," said Evisort Co-Founder and CEO Jerry Ting. "Evisort's generative AI empowers legal professionals to accelerate deals for sales teams by enabling decision execution that helps to drive revenue for organizations."In the context of contracts, Evisort believes that applying generative AI to aid in negotiation is only the beginning."Evisort's customers are interested in using AI to draft completely new contract templates, ensure compliance with regulations and manage their supply chains. We are at the genesis of the real commercialization of AI," said Anoun.Evisort recently announced the industry's first smart OCR AI with multi-language capabilities and expanded its clause library to help customers accelerate end-to-end contracting. Evisort also became the first AI-native CLM company to be certified for both ISO 27001 for information security and ISO 27701 for privacy and has held SOC 2 Type 2 certification since 2019.About EvisortEvisort is the leading transformative business solution for contract lifecycle management and analysis. Powered by proprietary artificial intelligence (AI) trained on 11M+ contracts and billions of data points, Evisort's technology parses the nuanced context and meaning of legal language and helps operational teams scale faster, reduce costs, and deliver greater business impact. Evisort is the first AI-native CLM company to achieve ISO 27001 and 27701 certifications in addition to SOC 2 Type 2 certification. Headquartered in San Francisco, the company supports legal, finance, sales, procurement and IT organizations around the globe. For more information, visit www.evisort.com or connect with us on LinkedIn or Twitter.Media Contact Raven CarpenterBLASTmedia for [email protected] ext. 171View original content to download multimedia:https://www.prnewswire.com/news-releases/evisort-enters-new-era-with-generative-ai-for-contract-intelligence-301707583.htmlSOURCE EvisortThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherLive NewscastsLive EventsSports1011 CaresContact UsKOLN840 North 40thLincoln, NE 68503(402) 467-4321Public Inspection [email protected] - (402) 467-4321FCC ApplicationsPrivacy PolicyTerms of ServiceEEO StatementAdvertisingClosed Captioning/Audio DescriptionA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
Evisort Enters New Era with Generative AI for Contract Intelligence
Evisort Enters New Era Generative AI Contract Intelligence Skip contentNewsWeatherSportsPure Nebraska UsLive NewscastsVideoHomeNewsEducationNationalElectionCoronavirusCrimeNews VideoLive NewscastsWeatherClosingsInteractive RadarWatch 1011 247 WeatherWeather Shield Request FormWeather CamerasDownload Weather AppSportsNReportHigh SchoolSports VideoScoreboardElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan CareAVan UsMeet TeamSubmit News TipCareersAdvertise With Us1011 247 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos VideosCircle Country Music LifestyleGray DC BureauInvestigate TVLatest NewscastsPowerNationPress ReleasesClosings DelaysDismiss Closings Alerts Bar18 weather alerts effectDismiss Weather Alerts Alerts BarEvisort Enters New Era Generative AI Contract IntelligencePublished: Dec. 20, 2022 1:08 PM CSTUpdated: 1 hour agoEvisort AI Labs pioneering new ways draft negotiate contracts generative AISAN FRANCISCO, Dec. 20, 2022 PRNewswire Evisort, nocode contract intelligence platform beloved legal, procurement sales operation teams worldwide, entering new era launch industrys generative artificial intelligenceAI capabilities. Evisorts reimagined AI technology provides transparent, understandable contract recommendations drive decisionmaking contract execution.EvisortPRNewswireEvisorts generative AI builds existing AI capabilities creating entirely new content. The Evisort AI Labs innovation empowers legal contracting professionals use Large Language Models draft, redline negotiate contracts automatically freeing time strategic counseling. Evisort AI Labs technology suggest edits speed renegotiations existing complicated contracts.Generative AI natural step enable decision execution makes contract management easier. Rapid advances cloud computing machine learning developed decade enabled Evisort create innovation, said Evisort CoFounder CTO Amine Anoun.Evisort debuted new capabilitypublicly December 18. Legal professionals business stakeholders use Evisorts generative AI compare proposed language accepted guidelines direct automatically rewrite common language unsuitable clauses, drastically speeding contract negotiation providing better business outcomes. The technology gives complete visibility data intelligence automated contract negotiation recommendation. Generative AI use cases include streamlining sales, vendor onboarding, supply chain contracting.Before going Harvard Law, I sales. One step required signing new deal waiting legal contract approval, end quarter, gets tough sales legal, said Evisort CoFounder CEO Jerry Ting. Evisorts generative AI empowers legal professionals accelerate deals sales teams enabling decision execution helps drive revenue organizations.In context contracts, Evisort believes applying generative AI aid negotiation beginning.Evisorts customers interested AI draft completely new contract templates, ensure compliance regulations manage supply chains. We genesis real commercialization AI, said Anoun.Evisort recently announced industrys smart OCR AI multilanguage capabilities expanded clause library help customers accelerate endtoend contracting. Evisort AInative CLM company certified ISO 27001 information security ISO 27701 privacy held SOC 2 Type 2 certification 2019.About EvisortEvisort leading transformative business solution contract lifecycle management analysis. Powered proprietary artificial intelligence AI trained 11M contracts billions data points, Evisorts technology parses nuanced context meaning legal language helps operational teams scale faster, reduce costs, deliver greater business impact. Evisort AInative CLM company achieve ISO 27001 27701 certifications addition SOC 2 Type 2 certification. Headquartered San Francisco, company supports legal, finance, sales, procurement IT organizations globe. For information, visit connect LinkedInor Twitter.Media Raven CarpenterBLASTmediafor Evisortevisort ext. 171View original content download multimedia: EvisortThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherLive NewscastsLive EventsSports1011 Cares UsKOLN840 North 40thLincoln, NE 68503402 4674321Public Inspection Filepublicfile 402 4674321FCC ApplicationsEEO StatementAdvertisingClosed CaptioningAudio DescriptionA Gray Media Group, . Station 20022022 Gray Television, .
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https://www.1011now.com/prnewswire/2023/09/28/genpact-integrates-riskcanvas-with-amazon-bedrock-transform-financial-crime-management-with-advanced-generative-ai-capabilities/
2023-09-28T00:00:00
en
Genpact Integrates riskCanvas with Amazon Bedrock to Transform Financial Crime Management with Advanced Generative AI Capabilities
Genpact Integrates riskCanvas with Amazon Bedrock to Transform Financial Crime Management with Advanced Generative AI Capabilities Skip to contentNewsWeatherSportsPure NebraskaContact UsWatch LiveVideoHomeNewsEducationNationalElectionCoronavirusCrimeNews VideoWatch LiveWeatherClosingsInteractive RadarWatch 10/11 24/7 WeatherWeather Shield Request FormWeather CamerasDownload the Weather AppSportsNReportHigh SchoolSports VideoScoreboardStats & PredictionsHow to WatchElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan Care-A-VanContact UsMeet the TeamSubmit a News TipCareersAdvertise With Us10/11 24/7 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos and VideosCircle - Country Music & LifestyleGray DC BureauInvestigateTVLatest NewscastsPowerNationPress ReleasesGenpact Integrates riskCanvas with Amazon Bedrock to Transform Financial Crime Management with Advanced Generative AI CapabilitiesPublished: Sep. 28, 2023 at 7:05 AM CDT|Updated: 1 hour agoAWS's generative AI capabilities combine with Genpact's deep digital, data, and domain expertiseIntegration of Amazon Bedrock into Genpact's riskCanvas™ financial crime risk management suite to drive value across clients, including Apex Fintech SolutionsNEW YORK, Sept. 28, 2023 /PRNewswire/ -- Genpact (NYSE: G), a global professional services firm focused on delivering outcomes that transform businesses, expanded its relationship with Amazon Web Services, Inc. (AWS) to transform financial crime risk operations, leveraging generative AI and large language models (LLMs). Integrating Genpact's proprietary cloud-based financial crime suite, riskCanvas™, with Amazon Bedrock, has led to accelerated efficiencies and impact for clients such as Apex Fintech Solutions.Genpact Integrates riskCanvas with Amazon Bedrock to Transform Financial Crime Management with Advanced Generative AI Capabilities(PRNewswire)Amazon Bedrock is a fully managed service that enables developers to test, integrate, and deploy industry-leading foundation models (FMs) via an application programming interface (API) and customize the models to best suit their unique use cases.Building on its existing relationship with AWS, Genpact is now combining its intellectual property and deep industry expertise with AWS's generative AI capabilities.For example, seamlessly incorporating Amazon Bedrock FMs into Genpact's riskCanvas financial crimes software suite aims to unlock exponential value and improve speed and accuracy in the detection, investigation, and prevention of financial crime threats for operations across enterprises. This allows experts to review outputs and incorporate a guided decision-making process, providing comprehensive summaries and analyses of potential financial crime activities – accelerating both efficiency and precision.Genpact engaged multiple riskCanvas clients to significantly improve the detection, investigation, and prevention of a wide range of financial crime threats. As a result, Genpact is now driving accelerated efficiencies and delivering substantial impact for these clients in finance and capital markets, exemplified by their work with Apex Fintech Solutions."Financial criminals are constantly innovating, which means financial services companies need to use advanced digital technologies to stay one step ahead of them," said Justin Morgan, Head of Financial Crimes Compliance at Apex Fintech Solutions. "With the addition of generative AI features to Genpact's riskCanvas, our analysts will be able to produce Suspicious Activity Report (SAR) narratives and case summaries at the click of a button using inputs from millions of data points. We expect this will reduce time spent on case summarizations by 60%, allowing our analysts to spend more time identifying truly suspicious financial activity."Using approved client data from the secure riskCanvas ecosystem, combined with Amazon Bedrock's secure data handling, enables the generation of highly accurate outcomes while maintaining data protection across clients."Responsible AI is a core consideration in AI implementation and its importance will continue to increase," said Atul Deo, General Manager, Amazon Bedrock at AWS. "Amazon Bedrock is rooted in secure data handling, encrypting all data and allowing users to customize models privately. Integrated with Genpact's riskCanvas, this powerful combination enables our mutual customers to enhance productivity in investigating, detecting, and preventing financial crime threats."The initiative enables clients to fully leverage the potential of generative AI solutions and drive secure, scalable, AI-led transformation."Data complexity and volume, false positives, and evolving sophisticated criminal tactics are accelerating the need for businesses to harness generative AI to transform financial crime operations," said BK Kalra, Global Business Leader, Financial Services, Consumer and Healthcare, Genpact. "Genpact's expanded relationship with AWS represents a pivotal step in redefining the operations landscape for enterprises. Together we can unlock untapped value, and fuel significant growth opportunities for our clients, solidifying our commitment to delivering valuable business impact."For more information on Genpact's relationship with AWS, visit: AWS | Our Partners | Genpact, and for more information on our financial services visit: AWS Financial Services | Our Partners | Genpact.About GenpactGenpact (NYSE: G) is a global professional services firm delivering the outcomes that transform our clients' businesses and shape their future. We're guided by our real-world experience redesigning and running thousands of processes for hundreds of global companies. Our clients – including many in the Global Fortune 500 – partner with us for our unique ability to combine deep industry and functional expertise, leading talent, and proven methodologies to drive collaborative innovation that turns insights into action and delivers outcomes at scale. We create lasting competitive advantages for our clients and their customers, running digitally enabled operations and applying our Data-Tech-AI services to design, build, and transform their businesses. And we do it all with purpose. From New York to New Delhi and more than 30 countries in between, our 115,000+ team is passionate in its relentless pursuit of a world that works better for people. Get to know us at Genpact.com and on LinkedIn, Twitter, YouTube, and Facebook.MEDIA CONTACT:Siya Belliappa Genpact Media [email protected] Genpact logo - September 2017 (PRNewsfoto/Genpact)(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/genpact-integrates-riskcanvas-with-amazon-bedrock-to-transform-financial-crime-management-with-advanced-generative-ai-capabilities-301941147.htmlSOURCE GenpactThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherLive NewscastsLive EventsSports1011 CaresContact UsKOLN840 North 40thLincoln, NE 68503(402) 467-4321Public Inspection [email protected] - (402) 467-4321FCC ApplicationsPrivacy PolicyTerms of ServiceEEO StatementAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
Genpact Integrates riskCanvas with Amazon Bedrock to Transform Financial Crime Management with Advanced Generative AI Capabilities
Genpact Integrates riskCanvas Amazon Bedrock Transform Financial Crime Management Advanced Generative AI Capabilities Skip contentNewsWeatherSportsPure Nebraska UsWatch LiveVideoHomeNewsEducationNationalElectionCoronavirusCrimeNews VideoWatch LiveWeatherClosingsInteractive RadarWatch 1011 247 WeatherWeather Shield Request FormWeather CamerasDownload Weather AppSportsNReportHigh SchoolSports VideoScoreboardStats PredictionsHow WatchElectionElection ResultsNational Politics1011 CaresPure NebraskaPure Nebraska VideoContestsCan CareAVan UsMeet TeamSubmit News TipCareersAdvertise With Us1011 247 WeatherLocal EverydayHealthy EverydaySeniors EverydayProgramming ScheduleSubmit Photos VideosCircle Country Music LifestyleGray DC BureauInvestigateTVLatest NewscastsPowerNationPress ReleasesGenpact Integrates riskCanvas Amazon Bedrock Transform Financial Crime Management Advanced Generative AI CapabilitiesPublished: Sep. 28, 2023 7:05 AM CDTUpdated: 1 hour agoAWSs generative AI capabilities combine Genpacts deep digital, data, domain expertiseIntegration Amazon Bedrock Genpacts riskCanvas financial crime risk management suite drive value clients, including Apex Fintech SolutionsNEW YORK, Sept. 28, 2023 PRNewswire GenpactNYSE: G, global professional services firm focused delivering outcomes transform businesses, expanded relationship Amazon Web Services, . AWS transform financial crime risk operations, leveraging generative AI large language models LLMs. Integrating Genpacts proprietary cloudbased financial crime suite, riskCanvas, Amazon Bedrock, led accelerated efficiencies impact clients Apex Fintech Solutions.Genpact Integrates riskCanvas Amazon Bedrock Transform Financial Crime Management Advanced Generative AI CapabilitiesPRNewswireAmazon Bedrock fully managed service enables developers test, integrate, deploy industryleading foundation models FMs application programming interface API customize models best suit unique use cases.Building existing relationship AWS, Genpact combining intellectual property deep industry expertise AWSs generative AI capabilities.For example, seamlessly incorporating Amazon Bedrock FMs Genpacts riskCanvas financial crimes software suite aims unlock exponential value improve speed accuracy detection, investigation, prevention financial crime threats operations enterprises. This allows experts review outputs incorporate guided decisionmaking process, providing comprehensive summaries analyses potential financial crime activities accelerating efficiency precision.Genpact engaged multiple riskCanvas clients significantly improve detection, investigation, prevention wide range financial crime threats. As result, Genpact driving accelerated efficiencies delivering substantial impact clients finance capital markets, exemplified work Apex Fintech Solutions.Financial criminals constantly innovating, means financial services companies need use advanced digital technologies stay step ahead them, said Justin Morgan, Head Financial Crimes Compliance Apex Fintech Solutions. With addition generative AI features Genpacts riskCanvas, analysts able produce Suspicious Activity Report SAR narratives case summaries click button inputs millions data points. We expect reduce time spent case summarizations 60, allowing analysts spend time identifying truly suspicious financial activity.Using approved client data secure riskCanvas ecosystem, combined Amazon Bedrocks secure data handling, enables generation highly accurate outcomes maintaining data protection clients.Responsible AI core consideration AI implementation importance continue increase, said Atul Deo, General Manager, Amazon Bedrock AWS. Amazon Bedrock rooted secure data handling, encrypting data allowing users customize models privately. Integrated Genpacts riskCanvas, powerful combination enables mutual customers enhance productivity investigating, detecting, preventing financial crime threats.The initiative enables clients fully leverage potential generative AI solutions drive secure, scalable, AIled transformation.Data complexity volume, false positives, evolving sophisticated criminal tactics accelerating need businesses harness generative AI transform financial crime operations, said BK Kalra, Global Business Leader, Financial Services, Consumer Healthcare, Genpact. Genpacts expanded relationship AWS represents pivotal step redefining operations landscape enterprises. Together unlock untapped value, fuel significant growth opportunities clients, solidifying commitment delivering valuable business impact.For information Genpacts relationship AWS, visit: AWS Our Partners Genpact, information financial services visit: AWS Financial Services Our Partners Genpact.About GenpactGenpact NYSE: G global professional services firm delivering outcomes transform clients businesses shape future. Were guided realworld experience redesigning running thousands processes hundreds global companies. Our clients including Global Fortune 500 partner unique ability combine deep industry functional expertise, leading talent, proven methodologies drive collaborative innovation turns insights action delivers outcomes scale. We create lasting competitive advantages clients customers, running digitally enabled operations applying DataTechAI services design, build, transform businesses. And purpose. From New York New Delhi 30 countries between, 115,000 team passionate relentless pursuit world works better people. Get know onLinkedIn,Twitter,YouTube, andFacebook.MEDIA CONTACT:Siya Belliappa Genpact Media Relations7185619843siya.belliappa Genpact logo September 2017 PRNewsfotoGenpactPRNewswireView original content download multimedia: GenpactThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherLive NewscastsLive EventsSports1011 Cares UsKOLN840 North 40thLincoln, NE 68503402 4674321Public Inspection Filepublicfile 402 4674321FCC ApplicationsEEO StatementAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, .
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https://www.10news.com/google-is-testing-ai-tool-genesis-that-can-write-news-articles
2023-07-20T00:00:00
en
Google is testing AI tool 'Genesis' that can write news articles
Google is testing AI tool 'Genesis' that can write news articles 1 weather alerts 1 closings/delays Watch Now Watch Now 1 weather alerts 1 closings/delays Menu Search site Watch Now Watch Now Close x Live Watch Alerts Search site Go Submit News Tips ABOUT ABC 10NEWS Meet the ABC 10News Team Advertise With Us Contact Us Jobs Support Facebook Twitter Instagram WATCH ABC 10NEWS LIVE ABC 10News Live News Casts ABC 10News Videos YouTube - ABC 10News San Diego WATCH LIVE: BREAKING NEWS AND CONTINUING COVERAGE News | Local, U.S., World News US/World Making it in San Diego Positively San Diego Your Voice, Your Vote Stories for Change Fact or Fiction Your Health Matters Military Politics Weather Alerts Radar Daily Forecast Hourly Forecast Wildfires Earthquake Preparedness Traffic Gas Prices Flight Status Team 10 Investigates Sports San Diego Padres SDSU Sports In-Depth Community Pet of the Week Leadership Community Connection Celebrating Community Entertainment TV Listings Contests Money Job Search Shop Smart Consumer News Don't Waste Your Money Financial Fitness Zone Approved Home Pros Marketplace San Diego Connect Brand Spotlight Home Improvement Collective The Doctor Is In Advertising with 10News Sign InNewsletters Sign OutManage Emails Apps Careers Search Weather Contests Team 10 Investigates Positively San Diego Exploring San Diego San Diego Padres Podcast: Today's Headlines SUBMIT NEWS TIPS Resource Center Fact or Fiction 10News Videos San Diego Comic-Con Quick links... Weather Contests Team 10 Investigates Positively San Diego Exploring San Diego San Diego Padres Podcast: Today's Headlines SUBMIT NEWS TIPS Resource Center Fact or Fiction 10News Videos San Diego Comic-Con 1 weather alerts 1 closings/delays NewsNationalScripps News Actions Facebook Tweet Email Google is testing AI tool 'Genesis' that can write news articles The news comes as some news organizations express interest in using artificial intelligence tools. Prev Next Jens Meyer / AP By: Scripps News Staff Posted at 9:59 AM, Jul 20, 2023 and last updated 2023-07-20 12:59:25-04 Google is currently in the process of testing a tool called 'Genesis,' which uses artificial intelligence technology to generate news articles.According to The New York Times, Google pitched the product to them, The Washington Post, and The Wall Street Journal’s owner, News Corp., as a "personal assistant for journalists" that will allow them to multitask and focus on other projects while the tool helps write the stories.Allegedly, the tool possesses the capability to intake information, including details about ongoing events and proficiently produce comprehensive news content with the information it gathers.The New York Times reports that according to three people familiar with the matter, "some executives who saw Google’s pitch described it as unsettling, asking not to be identified discussing a confidential matter. Two people said it seemed to take for granted the effort that went into producing accurate and artful news stories."SEE MORE: Federal regulators launch investigation into ChatGPT creator OpenAIThe news comes as news organizations express interest in using artificial intelligence tools. The Associated Press announced last week that it licensed a portion of its news story archive to OpenAI to explore how AI can be harnessed to advance news content generation.These tools have raised concerns among writers from not just media outlets but also authors and script writers due to the system’s tendencies to inaccurately push information that closely mimics human language and grammar, which makes it challenging to spot.A Google spokeswoman, Jenn Crider, told The New York Times that this tool and partnerships with outlets are in the earliest stages of "exploring ideas," but the tool is mostly intended to provide help with writing styles or headline ideas."Quite simply, these tools are not intended to, and cannot, replace the essential role journalists have in reporting, creating, and fact-checking their articles," said Crider.Trending stories at Scrippsnews.comFirst-generation iPhone sells for record $190,000 at auctionHouse Judiciary Committee subpoenas Meta's Threads app over censorshipMeta faces daily $100,000 fine over practices concerning privacy Scripps News 2023 Sign up for the Breaking News Newsletter and receive up to date information. now signed up to receive the Breaking News Newsletter. Click here to manage all Newsletters Read more about Scripps News here News Weather Sports Entertainment Don't Waste Your Money Support Sitemap Do Not Sell My Info Privacy Policy Privacy Center Journalism Ethics Guidelines Terms of Use EEO Careers FCC Public File FCC Application Public File Contact Accessibility Statement Closed Captioning Contact Social abc10news abc10news 10news Scripps Local Media© 2023 Scripps Media, Inc Give Light and the People Will Find Their Own Way
Google is testing AI tool 'Genesis' that can write news articles
Google testing AI tool Genesis write news articles 1 weather alerts 1 closingsdelays Watch Now Watch Now 1 weather alerts 1 closingsdelays Menu site Watch Now Watch Now Close x Live Watch Alerts site Go Submit News Tips ABOUT ABC 10NEWS Meet ABC 10News Team Advertise With Us Us Jobs Support Facebook Twitter Instagram WATCH ABC 10NEWS LIVE ABC 10News Live News Casts ABC 10News Videos YouTube ABC 10News San Diego WATCH LIVE: BREAKING NEWS AND CONTINUING COVERAGE News Local, U.S., World News USWorld Making San Diego Positively San Diego Your Voice, Your Vote Stories Change Fact Fiction Your Health Matters Military Politics Weather Alerts Radar Daily Forecast Hourly Forecast Wildfires Earthquake Preparedness Traffic Gas Prices Flight Status Team 10 Investigates Sports San Diego Padres SDSU Sports InDepth Community Pet Week Leadership Community Connection Celebrating Community Entertainment TV Listings Contests Money Job Shop Smart Consumer News Dont Waste Your Money Financial Fitness Zone Approved Home Pros Marketplace San Diego Connect Brand Spotlight Home Improvement Collective The Doctor Is In Advertising 10News Newsletters Sign OutManage Emails Apps Careers Weather Contests Team 10 Investigates Positively San Diego Exploring San Diego San Diego Padres Podcast: Todays Headlines SUBMIT NEWS TIPS Resource Center Fact Fiction 10News Videos San Diego ComicCon Quick links... Weather Contests Team 10 Investigates Positively San Diego Exploring San Diego San Diego Padres Podcast: Todays Headlines SUBMIT NEWS TIPS Resource Center Fact Fiction 10News Videos San Diego ComicCon 1 weather alerts 1 closingsdelays NewsNationalScripps News Actions Facebook Tweet Email Google testing AI tool Genesis write news articles The news comes news organizations express artificial intelligence tools. Prev Next Jens Meyer AP By: Scripps News Staff Posted 9:59 AM, Jul 20, 2023 updated 20230720 12:59:2504 Google currently process testing tool called Genesis, uses artificial intelligence technology generate news articles.According toThe New York Times,Google pitched product them, The Washington Post, The Wall Street Journals owner, News Corp., personal assistant journalists allow multitask focus projects tool helps write stories.Allegedly, tool possesses capability intake information, including details ongoing events proficiently produce comprehensive news content information gathers.The New York Times reports according people familiar matter, executives saw Googles pitch described unsettling, asking identified discussing confidential matter. Two people said granted effort went producing accurate artful news stories.SEE MORE: Federal regulators launch investigation ChatGPT creator OpenAIThe news comes news organizations express artificial intelligence tools. TheAssociated Pressannounced week licensed portion news story archive OpenAI explore AI harnessed advance news content generation.These tools raised concerns writers media outlets authors script writers systems tendencies inaccurately push information closely mimics human language grammar, makes challenging spot.A Google spokeswoman, Jenn Crider, told The New York Times tool partnerships outlets earliest stages exploring ideas, tool intended provide help writing styles headline ideas.Quite simply, tools intended to, cannot, replace essential role journalists reporting, creating, factchecking articles, said Crider.Trending stories Scrippsnews.comFirstgeneration iPhone sells record 190,000 auctionHouse Judiciary Committee subpoenas Metas Threads app censorshipMeta faces daily 100,000 fine practices concerning privacy Scripps News 2023 Sign Breaking News Newsletter receive date information. signed receive Breaking News Newsletter. Click manage Newsletters Read Scripps News News Weather Sports Entertainment Dont Waste Your Money Support Sitemap Do Not Sell My Info Privacy Center Journalism Ethics Guidelines Terms Use EEO Careers FCC Public File FCC Application Public File Accessibility Statement Closed Captioning Social abc10news abc10news 10news Scripps Local Media 2023 Scripps Media, Give Light People Will Find Their Own Way
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"diego", "padres", "sdsu", "sports", "indepth", "community", "pet", "week", "leadership", "community", "connection", "celebrating", "community", "entertainment", "tv", "listings", "contests", "money", "job", "shop", "smart", "consumer", "news", "dont", "waste", "money", "financial", "fitness", "zone", "approved", "home", "pros", "marketplace", "san", "diego", "connect", "brand", "spotlight", "home", "improvement", "collective", "doctor", "advertising", "news", "newsletters", "sign", "outmanage", "emails", "apps", "careers", "weather", "contests", "team", "investigates", "positively", "san", "diego", "exploring", "san", "diego", "san", "diego", "padres", "podcast", "todays", "headlines", "submit", "news", "tips", "resource", "center", "fact", "fiction", "news", "videos", "san", "diego", "comiccon", "quick", "links", "weather", "contests", "team", "investigates", "positively", "san", "diego", "exploring", "san", "diego", "san", "diego", "padres", "podcast", "todays", "headlines", 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"challenging", "spot", "google", "spokeswoman", "jenn", "crider", "told", "new", "york", "times", "tool", "partnerships", "outlets", "earliest", "stages", "exploring", "ideas", "tool", "intended", "provide", "help", "writing", "styles", "headline", "ideas", "simply", "tools", "intended", "replace", "essential", "role", "journalists", "reporting", "creating", "factchecking", "articles", "said", "crider", "trending", "stories", "scrippsnews", "iphone", "sells", "record", "auctionhouse", "judiciary", "committee", "subpoenas", "metas", "threads", "app", "censorshipmeta", "faces", "daily", "fine", "practices", "concerning", "privacy", "scripps", "news", "sign", "breaking", "news", "newsletter", "receive", "date", "information", "signed", "receive", "breaking", "news", "newsletter", "click", "manage", "newsletters", "read", "scripps", "news", "news", "weather", "sports", "entertainment", "dont", "waste", "money", "support", "sitemap", "sell", "info", "privacy", "center", "journalism", "ethics", "guidelines", "terms", "use", "eeo", "careers", "fcc", "public", "file", "fcc", "application", "public", "file", "accessibility", "statement", "closed", "captioning", "social", "abc", "news", "abc", "news", "news", "scripps", "local", "media", "scripps", "media", "light", "people", "way" ]
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https://www.13abc.com/prnewswire/2021/10/14/aicadium-sambanova-join-forces-bring-innovative-end-to-end-hardware-software-ai-solution-singapore/
2021-10-14T00:00:00
en
Aicadium and SambaNova join forces to bring innovative end-to-end hardware and software AI solution to Singapore
Aicadium and SambaNova join forces to bring innovative end-to-end hardware and software AI solution to Singapore Skip to contentTrafficGoodwill Pass It On ChallengeBirthday ClubFeel Good Friday13abc Marketplace#ToledoMECommunity CalendarThis Is HomeNewsWeatherSportsVaccine TrackerFeel Good FridaySpecial Reports LiveLive NewscastsSearchHomeCommunity CalendarSubmit Photos and VideoNewsStateNationalYour VoteElection ResultsInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings & DelaysLive Action Cams13abc First Warning Weather AppAbout UsContact UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsLive NewscastsSpecial Reports LiveSportsScoreboard13abc OriginalsFeel Good FridayNeighborhood NuisanceMetroparks MeetupRestaurant Report CardCase FilesBuilding Better SchoolsMoment of ScienceFinds in the 419Conklin And CompanyBridgesMr. FoodBest Of ClassLatest NewscastsFull Court Press with Greta Van SusterenCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationPress ReleasesAicadium and SambaNova join forces to bring innovative end-to-end hardware and software AI solution to SingaporePartnership accelerates access to industry impacting AI capabilities for organisations in the ASEAN region and beyond.Published: Oct. 13, 2021 at 8:16 PM EDT|Updated: 39 minutes agoSINGAPORE and PALO ALTO, Calif., Oct. 13, 2021 /PRNewswire/ -- Aicadium, a global technology company founded by Temasek dedicated to creating and scaling AI solutions, and SambaNova, the company building the industry's most advanced software, hardware, and services to run AI applications, today announced a partnership to bring SambaNova's advanced AI hardware to Singapore. In conjunction with Aicadium's AI platform, the solution is available for companies in Singapore seeking to deploy machine learning applications such as natural language processing, computer vision, recommendation, and more. "Partnering with Aicadium to deliver advanced AI solutions to enterprises and organisations in Singapore pushes SambaNova closer to our goal of enabling global access to AI," said Marshall Choy, Vice President Product for SambaNova. "Businesses around the world are under pressure to adopt and accelerate AI initiatives. With Aicadium's expertise and our best-in-class AI computation, we are accelerating machine learning and AI adoption throughout the region together."SambaNova LogoSambaNova's Dataflow-as-a-Service utilising DataScale is a completely integrated software and hardware platform delivering unrivaled performance, accuracy, scale, and ease of use built on SambaNova's Reconfigurable Dataflow Architecture™ (RDA). SambaNova DataScale software-defined-hardware approach is optimised from algorithms to silicon, delivers efficiency, and is built with a highly flexible and scalable architecture. DataScale can scale seamlessly from one to hundreds of systems to meet the demands of modern AI computing."Until now, the reality for small companies has been that they have to use transfer learning to benefit from very complex deep learning algorithms," said Dr. Rainer Burkhardt, Senior Vice President of Engineering at Aicadium. "With SambaNova's capabilities training deep neural networks from scratch combined with Aicadium's AI platform and access to large datasets, we can really make a difference solving common issues such as high-resolution images for visual analytics problems and accelerated processing speeds."Launched earlier this year, Aicadium is Temasek's global AI centre of excellence to empower companies to achieve better business outcomes through the adoption and delivery of AI technologies and solutions. It aims to partner with enterprises seeking to develop and scale end-to-end AI solutions to improve business outcomes. The firm leverages its global team of data scientists and engineers, a repeatable and scalable process, and a platform of AI algorithms, models, and tools to help clients achieve operational AI within their organisations."This exciting partnership with SambaNova exemplifies the collective strength and capabilities of the Temasek ecosystem, connecting firms within our portfolio and beyond to deliver better business outcomes," said Dr. Michael Zeller, Head of AI Strategy & Solutions at Temasek, and Board member of Aicadium.The partnership enables end-users in industry, government, and higher education to benefit from complete AI solutions to solve their most urgent problems by utilising extensible AI platform services, locally hosted in Singapore and available throughout the ASEAN region and beyond.About Aicadium    Aicadium is a global technology company dedicated to creating and scaling AI solutions by leveraging deep expertise and a common machine learning platform. As Temasek's global centre of excellence in Artificial Intelligence, we partner with companies to build and operationalise impactful AI solutions across a wide variety of industries and use cases.  Our team includes expert data scientists, software engineers, and AI business leaders in Singapore and San Diego, CA.  As a team, we place the highest priority on the responsible adoption, development, and delivery of AI technologies and solutions, with the goal of delivering improved business outcomes that usher in a more resilient and inclusive world.For more information, visit the company website: https://aicadium.ai/About SambaNova Systems SambaNova Systems is an AI innovation company that empowers organisations to deploy best-in-class solutions for natural language processing, computer vision, recommendation systems, and AI for science with confidence. SambaNova's flagship offering, Dataflow-as-a-Service, helps organisations rapidly deploy AI in days, unlocking new revenue and boosting operational efficiency. SambaNova's DataScale® is an integrated software and hardware system using Reconfigurable Dataflow Architecture (RDA), along with open standards and user interfaces. Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, hardware, and software design experts from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celeste, and several others. For more information, please visit us at sambanova.ai or contact us at [email protected]. Follow SambaNova Systems on LinkedIn.SambaNova DataScaleAicadium Logo (PRNewsfoto/Aicadium)View original content to download multimedia:https://www.prnewswire.com/news-releases/aicadium-and-sambanova-join-forces-to-bring-innovative-end-to-end-hardware-and-software-ai-solution-to-singapore-301399891.htmlSOURCE AicadiumThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.HomeNewsWeatherSportsCommunity CalendarLive NewscastsLive Special EventsSubmit Photos and VideosWTVG4247 Dorr St.Toledo, OH 43607(419) 531-1313Terms of ServicePrivacy PolicyAdvertisingPublic Inspection FileEEO StatementFCC [email protected] - (419) 531-1313A Gray Media Group, Inc. Station - © 2002-2021 Gray Television, Inc.
Aicadium and SambaNova join forces to bring innovative end-to-end hardware and software AI solution to Singapore
Aicadium SambaNova join forces bring innovative endtoend hardware software AI solution Singapore Skip contentTrafficGoodwill Pass It On ChallengeBirthday ClubFeel Good Friday13abc MarketplaceToledoMECommunity CalendarThis Is HomeNewsWeatherSportsVaccine TrackerFeel Good FridaySpecial Reports LiveLive NewscastsHomeCommunity CalendarSubmit Photos VideoNewsStateNationalYour VoteElection ResultsInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings DelaysLive Action Cams13abc First Warning Weather App UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsLive NewscastsSpecial Reports LiveSportsScoreboard13abc OriginalsFeel Good FridayNeighborhood NuisanceMetroparks MeetupRestaurant Report CardCase FilesBuilding Better SchoolsMoment ScienceFinds 419Conklin And CompanyBridgesMr. FoodBest Of ClassLatest NewscastsFull Court Press Greta Van SusterenCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationPress ReleasesAicadium SambaNova join forces bring innovative endtoend hardware software AI solution SingaporePartnership accelerates access industry impacting AI capabilities organisations ASEAN region beyond.Published: Oct. 13, 2021 8:16 PM EDTUpdated: 39 minutes agoSINGAPOREand PALO ALTO, Calif., Oct. 13, 2021 PRNewswire Aicadium, global technology company founded Temasek dedicated creating scaling AI solutions, SambaNova, company building industrys advanced software, hardware, services run AI applications, today announced partnership bring SambaNovas advanced AI hardware Singapore. In conjunction Aicadiums AI platform, solution available companies Singapore seeking deploy machine learning applications natural language processing, vision, recommendation, more. Partnering Aicadium deliver advanced AI solutions enterprises organisations Singapore pushes SambaNova closer goal enabling global access AI, said Marshall Choy, Vice President Product SambaNova. Businesses world pressure adopt accelerate AI initiatives. With Aicadiums expertise bestinclass AI computation, accelerating machine learning AI adoption region together.SambaNova LogoSambaNovas DataflowasaService utilising DataScale completely integrated software hardware platform delivering unrivaled performance, accuracy, scale, ease use built SambaNovas Reconfigurable Dataflow Architecture RDA. SambaNova DataScale softwaredefinedhardware approach optimised algorithms silicon, delivers efficiency, built highly flexible scalable architecture. DataScale scale seamlessly hundreds systems meet demands modern AI computing.Until now, reality small companies use transfer learning benefit complex deep learning algorithms, said Dr. Rainer Burkhardt, Senior Vice President Engineering Aicadium. With SambaNovas capabilities training deep neural networks scratch combined Aicadiums AI platform access large datasets, difference solving common issues highresolution images visual analytics problems accelerated processing speeds.Launched earlier year, Aicadium Temaseks global AI centre excellence empower companies achieve better business outcomes adoption delivery AI technologies solutions. It aims partner enterprises seeking develop scale endtoend AI solutions improve business outcomes. The firm leverages global team data scientists engineers, repeatable scalable process, platform AI algorithms, models, tools help clients achieve operational AI organisations.This exciting partnership SambaNova exemplifies collective strength capabilities Temasek ecosystem, connecting firms portfolio deliver better business outcomes, said Dr. Michael Zeller, Head AI Strategy Solutions Temasek,and Board member Aicadium.The partnership enables endusers industry, government, higher education benefit complete AI solutions solve urgent problems utilising extensible AI platform services, locally hosted Singapore available ASEAN region beyond.About Aicadium Aicadium global technology company dedicated creating scaling AI solutions leveraging deep expertise common machine learning platform. As Temaseks global centre excellence Artificial Intelligence, partner companies build operationalise impactful AI solutions wide variety industries use cases. Our team includes expert data scientists, software engineers, AI business leaders Singapore San Diego, CA. As team, place highest priority responsible adoption, development, delivery AI technologies solutions, goal delivering improved business outcomes usher resilient inclusive world.For information, visit company website: SambaNova SystemsSambaNova Systems AI innovation company empowers organisations deploy bestinclass solutions natural language processing, vision, recommendation systems, AI science confidence. SambaNovas flagship offering, DataflowasaService, helps organisations rapidly deploy AI days, unlocking new revenue boosting operational efficiency. SambaNovas DataScale integrated software hardware Reconfigurable Dataflow Architecture RDA, open standards user interfaces. Headquartered Palo Alto, California, SambaNova Systems founded 2017 industry luminaries, hardware, software design experts SunOracle Stanford University. Investors include SoftBank Vision Fund 2, funds accounts managed BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celeste, others. For information, visit sambanova.ai contact info Follow SambaNova Systems LinkedIn.SambaNova DataScaleAicadium Logo PRNewsfotoAicadiumView original content download multimedia: AicadiumThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .HomeNewsWeatherSportsCommunity CalendarLive NewscastsLive Special EventsSubmit Photos VideosWTVG4247 Dorr St.Toledo, OH 43607419 5311313AdvertisingPublic Inspection FileEEO StatementFCC Applicationswtvgcompliance 419 5311313A Gray Media Group, . Station 20022021 Gray Television, .
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https://www.13abc.com/prnewswire/2021/10/27/europeans-are-less-confident-protecting-themselves-cyberthreats-according-cujo-ai-survey/
2021-10-27T00:00:00
en
Europeans Are Less Confident in Protecting Themselves from Cyberthreats According to CUJO AI Survey
Europeans Are Less Confident in Protecting Themselves from Cyberthreats According to CUJO AI Survey Skip to contentTrafficGoodwill Pass It On ChallengeBirthday ClubFeel Good Friday13abc Marketplace#ToledoMECommunity CalendarThis Is HomeNewsWeatherSportsVaccine TrackerFeel Good FridaySpecial Reports LiveLive NewscastsSearchHomeCommunity CalendarSubmit Photos and VideoNewsStateNationalYour VoteElection ResultsInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings & DelaysLive Action Cams13abc First Warning Weather AppAbout UsContact UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsLive NewscastsSpecial Reports LiveSportsScoreboard13abc OriginalsFeel Good FridayNeighborhood NuisanceMetroparks MeetupRestaurant Report CardCase FilesBuilding Better SchoolsMoment of ScienceFinds in the 419Getting School'dConklin And CompanyBridgesMr. FoodBest Of ClassLatest NewscastsFull Court Press with Greta Van SusterenCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationPress Releases6 weather alerts in effectDismiss Weather Alerts Alerts BarEuropeans Are Less Confident in Protecting Themselves from Cyberthreats According to CUJO AI SurveyThe latest CUJO AI study, conducted in the United States, France, Germany, and Italy, reveals that alarming numbers of people don't take any actions to secure themselves from online threats and instead turn to Internet Service Providers for unified protection.Published: Oct. 27, 2021 at 8:00 AM EDT|Updated: 51 minutes agoLOS ANGELES, Oct. 27, 2021 /PRNewswire/ -- CUJO AI,  the global leader of cutting-edge cybersecurity and network intelligence solutions for Internet Service Providers (ISPs), today released the annual "Cybersecurity Perceptions Survey 2021" report.CUJO AI logo (PRNewsfoto/CUJO AI)The survey of 4,000 respondents across the U.S., France, Germany, and Italy covers a diverse range of topics, including customer confidence, awareness, behaviors, and beliefs toward various aspects of cybersecurity. It also reveals customers' opinions about who they think is ultimately responsible for online security, and whether they would switch to another ISP for better protection.Europeans are Less Confident About SecurityThe lowest confidence in online security was reported in Europe, where over 30% of respondents felt that protecting their home networks was highly challenging."Customers are more connected and vulnerable than ever before," says Einaras von Gravrock, CEO, CUJO AI. "Connected IoT devices are often insecure, providing opportunities for bad actors to attack both home and business networks. These attacks are evolving, and it is only natural that many people struggle to find the tools to protect their devices, data, and homes or businesses from digital threats – protecting smart equipment can be extremely difficult for the average user."Respondents in the U.S. were twice as likely to report smart device usage than Europeans and more confident in their abilities to protect their home networks: 52% said it was either not challenging at all or only slightly challenging (19%). Confidence was lowest in France, where 72.8% of respondents said self-protection was at least moderately challenging.Threats Are Increasing, Awareness Remains LowThe survey revealed that many Internet users have experienced cybercrime and were skeptical about their abilities to protect their data. One out of three respondents either knew someone who had been a victim of cybercrime or had been a victim themselves. Identity theft and unauthorized use of personal data were critical concerns for consumers in all surveyed countries."The most worrying trend revealed by our survey is that a third of the respondents are unaware they need to take action to protect their home networks and personal devices, with the highest reported numbers in France and Italy – 34.5% and 36.7%, respectively. Also, one in seven people across all surveyed countries knew they needed to act but still did not take any steps to protect their networks or devices," - said Indre Raviv, Senior Vice President of Marketing, CUJO AI.Consumers Turn to Internet Service Providers for ProtectionAmong respondents who had taken action to secure their networks, most relied on traditional security measures such as antivirus software (AV). More than a third of respondents in France, Italy, and the U.S. had installed antivirus software on their devices, as well as 54% in Germany. A significant number of respondents (8-17%) had subscribed to a security service from their ISP.When asked who was responsible for preventing cybercrime and cyberattacks, most respondents in every surveyed country said their ISPs were the most responsible. Most respondents believe that ISPs are more responsible for providing cybersecurity than the government, law enforcement, or even the users themselves. Moreover, respondents in Germany, Italy, and France attribute a relatively larger responsibility to ISPs than Americans.Many consumers stated that they would be willing to upgrade their subscription or switch to another ISP if it offered them more security: 62% in Germany, 53% in the U.S., 46% in Italy, and 36% in France.The full "Cybersecurity Perceptions Survey 2021" report and additional content are available on the CUJO AI company website.About CUJO AI CUJO AI provides advanced multi-layered cybersecurity as a product for Internet Service Providers, which allows them to protect end-users' devices and home networks. Major mobile and broadband providers partner with CUJO AI to offer security as an added-value service to their clients. Thanks to a unified approach that encompasses AI algorithms and an unmatched scale of its database, the company's products have a proven positive impact on their partner telecom revenue streams and customer retention. As the only comparative platform deployed to monitor over 1 billion devices, CUJO AI offers the most advanced AI algorithms to help its clients uncover previously unavailable insights about devices on their networks. Data processed by these algorithms is in full compliance with all privacy regulations. CUJO AI provides its AI-powered cybersecurity and network intelligence solutions to the largest broadband operators around the world, including Comcast and Charter Communications.Contact: Viktorija Vilke [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/europeans-are-less-confident-in-protecting-themselves-from-cyberthreats-according-to-cujo-ai-survey-301409610.htmlSOURCE CUJO AIThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.HomeNewsWeatherSportsCommunity CalendarLive NewscastsLive Special EventsSubmit Photos and VideosWTVG4247 Dorr St.Toledo, OH 43607(419) 531-1313Terms of ServicePrivacy PolicyAdvertisingPublic Inspection FileEEO StatementFCC [email protected] - (419) 531-1313A Gray Media Group, Inc. Station - © 2002-2021 Gray Television, Inc.
Europeans Are Less Confident in Protecting Themselves from Cyberthreats According to CUJO AI Survey
Europeans Are Less Confident Protecting Themselves Cyberthreats According CUJO AI Survey Skip contentTrafficGoodwill Pass It On ChallengeBirthday ClubFeel Good Friday13abc MarketplaceToledoMECommunity CalendarThis Is HomeNewsWeatherSportsVaccine TrackerFeel Good FridaySpecial Reports LiveLive NewscastsHomeCommunity CalendarSubmit Photos VideoNewsStateNationalYour VoteElection ResultsInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesWeatherClosings DelaysLive Action Cams13abc First Warning Weather App UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsLive NewscastsSpecial Reports LiveSportsScoreboard13abc OriginalsFeel Good FridayNeighborhood NuisanceMetroparks MeetupRestaurant Report CardCase FilesBuilding Better SchoolsMoment ScienceFinds 419Getting SchooldConklin And CompanyBridgesMr. FoodBest Of ClassLatest NewscastsFull Court Press Greta Van SusterenCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationPress Releases6 weather alerts effectDismiss Weather Alerts Alerts BarEuropeans Are Less Confident Protecting Themselves Cyberthreats According CUJO AI SurveyThe latest CUJO AI study, conducted United States, France, Germany, Italy, reveals alarming numbers people dont actions secure online threats instead turn Internet Service Providers unified protection.Published: Oct. 27, 2021 8:00 AM EDTUpdated: 51 minutes agoLOS ANGELES, Oct. 27, 2021 PRNewswire CUJO AI, global leader cuttingedge cybersecurity network intelligence solutions Internet Service Providers ISPs, today released annual Cybersecurity Perceptions Survey 2021 report.CUJO AI logo PRNewsfotoCUJO AIThe survey 4,000 respondents U.S., France, Germany, Italy covers diverse range topics, including customer confidence, awareness, behaviors, beliefs aspects cybersecurity. It reveals customers opinions think ultimately responsible online security, switch ISP better protection.Europeans Less Confident About SecurityThe lowest confidence online security reported Europe, 30 respondents felt protecting home networks highly challenging.Customers connected vulnerable before, says Einaras von Gravrock, CEO, CUJO AI. Connected IoT devices insecure, providing opportunities bad actors attack home business networks. These attacks evolving, natural people struggle tools protect devices, data, homes businesses digital threats protecting smart equipment extremely difficult average user.Respondents U.S. twice likely report smart device usage Europeans confident abilities protect home networks: 52 said challenging slightly challenging 19. Confidence lowest France, 72.8 respondents said selfprotection moderately challenging.Threats Are reasing, Awareness Remains LowThe survey revealed Internet users experienced cybercrime skeptical abilities protect data. One respondents knew victim cybercrime victim themselves. Identity theft unauthorized use personal data critical concerns consumers surveyed countries.The worrying trend revealed survey respondents unaware need action protect home networks personal devices, highest reported numbers France Italy 34.5 36.7, respectively. Also, seven people surveyed countries knew needed act steps protect networks devices, said Indre Raviv, Senior Vice President Marketing, CUJO AI.Consumers Turn Internet Service Providers ProtectionAmong respondents taken action secure networks, relied traditional security measures antivirus software AV. More respondents France, Italy, U.S. installed antivirus software devices, 54 Germany. A significant number respondents 817 subscribed security service ISP.When asked responsible preventing cybercrime cyberattacks, respondents surveyed country said ISPs responsible. Most respondents believe ISPs responsible providing cybersecurity government, law enforcement, users themselves. Moreover, respondents Germany, Italy, France attribute relatively larger responsibility ISPs Americans.Many consumers stated willing upgrade subscription switch ISP offered security: 62 Germany, 53 U.S., 46 Italy, 36 France.The Cybersecurity Perceptions Survey 2021 report additional content available CUJO AI company website.About CUJO AI CUJO AI provides advanced multilayered cybersecurity product Internet Service Providers, allows protect endusers devices home networks. Major mobile broadband providers partner CUJO AI offer security addedvalue service clients. Thanks unified approach encompasses AI algorithms unmatched scale database, companys products proven positive impact partner telecom revenue streams customer retention. As comparative platform deployed monitor 1 billion devices, CUJO AI offers advanced AI algorithms help clients uncover previously unavailable insights devices networks. Data processed algorithms compliance privacy regulations. CUJO AI provides AIpowered cybersecurity network intelligence solutions largest broadband operators world, including Comcast Charter Communications.: Viktorija Vilke viktorija original content download multimedia: CUJO AIThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .HomeNewsWeatherSportsCommunity CalendarLive NewscastsLive Special EventsSubmit Photos VideosWTVG4247 Dorr St.Toledo, OH 43607419 5311313AdvertisingPublic Inspection FileEEO StatementFCC Applicationswtvgcompliance 419 5311313A Gray Media Group, . Station 20022021 Gray Television, .
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https://www.13abc.com/prnewswire/2023/01/26/offerd-announces-first-ai-technology-powered-multifamily-brokerage/
2023-01-26T00:00:00
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Offerd Announces the First AI and Technology Powered Multifamily Brokerage
Offerd Announces the First AI and Technology Powered Multifamily Brokerage Skip to contentBirthday Club13abc MarketplaceContestsCommunity CalendarNewsFirst Alert WeatherWatch LiveLinks We MentionedHomeCommunity CalendarSubmit Photos and VideoNewsStateNationalYour VoteInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesFirst Alert WeatherClosings & DelaysLive Action Cams13abc First Alert Weather AppAbout UsContact UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch LiveThe Nine13abc OriginalsBuilding Better SchoolsCase FilesDine 419Feel Good FridayFinds in the 419Getting School'dHittin' The TownMetroparks MeetupMoment of ScienceNeighborhood NuisanceSpacing OutThrowback ToledoBright SideThis is HomeAction News NowConklin And CompanyMr. FoodBest Of ClassLatest NewscastsCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationClosings and DelaysDismiss Closings Alerts Bar2 weather alerts in effectDismiss Weather Alerts Alerts BarOfferd Announces the First AI and Technology Powered Multifamily BrokeragePublished: Jan. 26, 2023 at 4:08 PM EST|Updated: 2 hours agoThe transformation will help multifamily investment firms more efficiently deploy and harvest capital.AUSTIN, Texas, Jan. 26, 2023 /PRNewswire/ -- Offerd announces its expansion from an acquisitions and analytics firm in the multifamily space to a fully digital, technology driven transaction platform for multifamily. Our full suite of acquisitions, dispositions, and advisory services are brokerage reimagined and will allow for the efficient deployment of capital.Offerd Logo (PRNewsfoto/Offerd)(PRNewswire)"The multifamily industry has long needed an evolution from decentralized and niche brokerages primarily focused on selling. Instead, we need an integrated approach using technology to support the full needs of multifamily investment groups," said Offerd CEO Travis Farese. "You can't separate one part of the business, like acquisitions, from everything else and expect to serve the balanced needs of investors."Offerd can now help multifamily investment groups with their acquisitions and disposition strategies as well as helping plan, structure, and execute capital stacks for projects. This one stop shop approach to multifamily real estate is unique in the industry and allows Offerd to stay involved throughout the entire life cycle of a multifamily transaction, building deep ties with the sponsors on our platform."Using our proprietary technology platform and deep data on all 26,000 ownership groups in the country, as well as extensive data on local markets, we can target the most probable counterparts for your transactions, whether buyers for your assets and pinpoint market to them, or sellers and approach them on your behalf," said Greg Cooper, President of Offerd Brokerage Services.Offerd also announced its Partner Program. The company regularly uncovers assets that are too large for certain partners on our platform, but who have an interest in acquiring those assets. We now have a co-GP program, where we match partners who jointly share in the economics and risks.We will be at the National Multifamily Housing Council annual meeting in Las Vegas from January 31 to February 2, 2023, and we look forward to meeting potential clients.About OfferdOfferd integrates powerful technology, data intelligence and custom services into one innovative and integrated multifamily transactions platform with extensive data sets, visually rich and intuitive environment, private marketplace, and expert consulting advice. Based in Austin, Texas, Offerd's AI-driven systems help multifamily professionals more effectively and efficiently implement their strategies; develop capital stacks; and research, identify and negotiate multifamily property deals. Offerd works with larger, qualified, respected, active, multifamily investment firms across the country as an extension of their strategic teams.View original content to download multimedia:https://www.prnewswire.com/news-releases/offerd-announces-the-first-ai-and-technology-powered-multifamily-brokerage-301731968.htmlSOURCE OfferdThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.HomeNewsFirst Alert WeatherSportsCommunity CalendarLive NewscastsClosed Captioning/Audio DescriptionSubmit Photos and VideosWTVG4247 Dorr St.Toledo, OH 43607(419) 531-1313Terms of ServicePrivacy PolicyAdvertisingPublic Inspection FileClosed Captioning/Audio DescriptionEEO StatementFCC [email protected] - (419) 531-1313A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
Offerd Announces the First AI and Technology Powered Multifamily Brokerage
Offerd Announces First AI Technology Powered Multifamily Brokerage Skip contentBirthday Club13abc MarketplaceContestsCommunity CalendarNewsFirst Alert WeatherWatch LiveLinks We MentionedHomeCommunity CalendarSubmit Photos VideoNewsStateNationalYour VoteInvestigationJeep FestThe Solheim CupCrimeHealthVaccine TrackerGas PricesFirst Alert WeatherClosings DelaysLive Action Cams13abc First Alert Weather App UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch LiveThe Nine13abc OriginalsBuilding Better SchoolsCase FilesDine 419Feel Good FridayFinds 419Getting SchooldHittin The TownMetroparks MeetupMoment ScienceNeighborhood NuisanceSpacing OutThrowback ToledoBright SideThis HomeAction News NowConklin And CompanyMr. FoodBest Of ClassLatest NewscastsCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationClosings DelaysDismiss Closings Alerts Bar2 weather alerts effectDismiss Weather Alerts Alerts BarOfferd Announces First AI Technology Powered Multifamily BrokeragePublished: Jan. 26, 2023 4:08 PM ESTUpdated: 2 hours agoThe transformation help multifamily investment firms efficiently deploy harvest capital.AUSTIN, Texas, Jan. 26, 2023 PRNewswire Offerdannounces expansion acquisitions analytics firm multifamily space fully digital, technology driven transaction platform multifamily. Our suite acquisitions, dispositions, advisory services brokerage reimagined allow efficient deployment capital.Offerd Logo PRNewsfotoOfferdPRNewswireThe multifamily industry long needed evolution decentralized niche brokerages primarily focused selling. Instead, need integrated approach technology support needs multifamily investment groups, said Offerd CEO Travis Farese. You separate business, like acquisitions, expect serve balanced needs investors.Offerd help multifamily investment groups acquisitions disposition strategies helping plan, structure, execute capital stacks projects. This stop shop approach multifamily real estate unique industry allows Offerd stay involved entire life cycle multifamily transaction, building deep ties sponsors platform.Using proprietary technology platform deep data 26,000 ownership groups country, extensive data local markets, target probable counterparts transactions, buyers assets pinpoint market them, sellers approach behalf, said Greg Cooper, President Offerd Brokerage Services.Offerd announced Partner Program. The company regularly uncovers assets largefor certain partners platform, acquiring assets. We coGP program, match partners jointly share economics risks.We National Multifamily Housing Council annual meeting Las Vegas January 31 February 2, 2023, welookforward meetingpotential clients.About OfferdOfferd integrates powerful technology, data intelligence custom services innovative integrated multifamily transactions platform extensive data sets, visually rich intuitive environment, private marketplace, expert consulting advice. Based Austin, Texas, Offerds AIdriven systems help multifamily professionals effectively efficiently implement strategies; develop capital stacks; research, identify negotiate multifamily property deals. Offerd works larger, qualified, respected, active, multifamily investment firms country extension strategic teams.View original content download multimedia: OfferdThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .HomeNewsFirst Alert WeatherSportsCommunity CalendarLive NewscastsClosed CaptioningAudio DescriptionSubmit Photos VideosWTVG4247 Dorr St.Toledo, OH 43607419 5311313AdvertisingPublic Inspection FileClosed CaptioningAudio DescriptionEEO StatementFCC Applicationscompliance 419 5311313A Gray Media Group, . Station 20022023 Gray Television, .
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https://www.13abc.com/prnewswire/2023/09/07/genpact-named-top-data-science-service-provider-2023-by-analytics-india-magazine-aim-research/
2023-09-07T00:00:00
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Genpact Named a Top Data Science Service Provider for 2023 by Analytics India Magazine (AIM) Research
Genpact Named a Top Data Science Service Provider for 2023 by Analytics India Magazine (AIM) Research Skip to content13abc MarketplaceContestsCommunity CalendarOhio LotteryNewsFirst Alert WeatherWatch LiveLinks We MentionedThe NineHomeCommunity CalendarSubmit Photos and VideoNewsAction News NowCrimeInvestigationNationalSpecial ReportsYour VoteFirst Alert WeatherClosings & DelaysLive Action Cams13abc First Alert Weather AppAbout UsContact UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch LiveThe Nine13abc OriginalsBuilding Better SchoolsCase FilesDine 419Feel Good FridayFinds in the 419Getting School'dHittin' The TownMetroparks MeetupMoment of ScienceNeighborhood NuisanceSpacing OutThrowback ToledoBright SideThis is HomeLinks We MentionedAction News Now - Digital ExclusivesMr. FoodBest Of ClassLatest NewscastsCircle - Country Music & LifestyleGray DC BureauInvestigateTVPowerNationGenpact Named a Top Data Science Service Provider for 2023 by Analytics India Magazine (AIM) ResearchPublished: Sep. 7, 2023 at 8:05 AM EDT|Updated: 59 minutes agoAchieving #1 on the Maturity Index and #3 on Penetration propels Genpact into a Leader positionRecognition reflects Genpact's strength in data science, artificial intelligence (AI), and advanced analytics to drive strategic business value for clientsNEW YORK, Sept. 7, 2023 /PRNewswire/ -- Genpact (NYSE: G), a global professional services firm focused on delivering outcomes that transform businesses, today announced its recognition as one of the "Top Data Science Service Providers 2023" by Analytics India Magazine (AIM) Research, a market research firm that specializes in leveraging the power of AI and data science to deliver powerful insights into today's markets.New Genpact logo - September 2017 (PRNewsfoto/Genpact)(PRNewswire)To empower businesses in making pivotal decisions, AIM Research presents the Penetration and Maturity (PeMa) Quadrant for Data Science Service Providers – an industry benchmark for companies to evaluate the competencies of leading providers. The assessment evaluates two core parameters: market Penetration (Pe) and service Maturity (Ma). Striking the right balance between these two criteria is integral to addressing client needs and capitalizing on potential revenue streams.Genpact secured the first rank on the Maturity Index and the third position on the Penetration Index in the AIM Research 2023 PeMa quadrant, earning placement in the coveted Leaders quadrant. Additionally, Genpact's augmented intelligence capabilities, which is its unique ability to combine machine intelligence with human intelligence, topped the list of key competencies and differentiators of leading data science service providers."In this data and AI-driven era, businesses seek partners who can provide actionable insights to unlock efficiencies and fuel competitive growth," said Harsh Kar, Global Business Leader, Data and AI, Genpact. "Our recognition as a top Data Science Service Provider highlights our commitment to continuous development and investment in AI and data analytics. This enables us to support our clients to make quick, strategic decisions that drive outcomes in today's fast-paced environment."The PeMa study is based on rigorous industry research designed to create the "Top Data Science Service Providers 2023" list to help businesses choose the right data science partner aligned with their needs and goals. This year, primary data came from 36 participating firms, focusing on key factors evaluating the capabilities of leading industry players that provide analytics or related services and their headway into the market.Learn more about Genpact as a Top Data Science Service Provider 2023 and see the full report, here.About Analytics India Magazine (AIM) ResearchAIM Research (A subsidiary of Analytics India Magazine) provides rigorous, objective research and advisory to organizations that plans to achieve higher level of success with their analytics implementations. As AI and data science experts, AIM Research is pioneering advanced market research to shape the way companies make decisions. Our single, overriding goal is to equip our clients with the insights, advice and tools they need to create a well-oiled data driven enterprise. With a decade of experience under our belt, we are transforming how businesses use AI & data-driven insights to succeed. Visit us at https://aimresearch.co/ Analytics India Magazine chronicles technological progress in the space of analytics, artificial intelligence, data science & big data by highlighting the innovations, players, and challenges shaping the future of India through promotion and discussion of ideas and thoughts by smart, ardent, action-oriented individuals who want to change the world.About GenpactGenpact (NYSE: G) is a global professional services firm delivering the outcomes that transform our clients' businesses and shape their future. We're guided by our real-world experience redesigning and running thousands of processes for hundreds of global companies. Our clients – including many in the Global Fortune 500 – partner with us for our unique ability to combine deep industry and functional expertise, leading talent, and proven methodologies to drive collaborative innovation that turns insights into action and delivers outcomes at scale. We create lasting competitive advantages for our clients and their customers, running digitally enabled operations and applying our Data-Tech-AI services to design, build, and transform their businesses. And we do it all with purpose. From New York to New Delhi and more than 30 countries in between, our 115,000+ team is passionate in its relentless pursuit of a world that works better for people. Get to know us at Genpact.com and on LinkedIn, Twitter, YouTube, and Facebook.MEDIA CONTACTS:Siya BelliappaGenpact Media Relations – Global+1 [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/genpact-named-a-top-data-science-service-provider-for-2023-by-analytics-india-magazine-aim-research-301920423.htmlSOURCE GenpactThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.HomeNewsFirst Alert WeatherSportsCommunity CalendarLive NewscastsClosed Captioning/Audio DescriptionSubmit Photos and VideosWTVG4247 Dorr St.Toledo, OH 43607(419) 531-1313Terms of ServicePrivacy PolicyAdvertisingDigital AdvertisingPublic Inspection FileClosed Captioning/Audio DescriptionEEO StatementFCC [email protected] - (419) 531-1313At Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
Genpact Named a Top Data Science Service Provider for 2023 by Analytics India Magazine (AIM) Research
Genpact Named Top Data Science Service Provider 2023 Analytics India Magazine AIM Research Skip content13abc MarketplaceContestsCommunity CalendarOhio LotteryNewsFirst Alert WeatherWatch LiveLinks We MentionedThe NineHomeCommunity CalendarSubmit Photos VideoNewsAction News NowCrimeInvestigationNationalSpecial ReportsYour VoteFirst Alert WeatherClosings DelaysLive Action Cams13abc First Alert Weather App UsContestsCareersNewsletterProgramming ScheduleAdvertise With UsWatch LiveThe Nine13abc OriginalsBuilding Better SchoolsCase FilesDine 419Feel Good FridayFinds 419Getting SchooldHittin The TownMetroparks MeetupMoment ScienceNeighborhood NuisanceSpacing OutThrowback ToledoBright SideThis HomeLinks We MentionedAction News Now Digital ExclusivesMr. FoodBest Of ClassLatest NewscastsCircle Country Music LifestyleGray DC BureauInvestigateTVPowerNationGenpact Named Top Data Science Service Provider 2023 Analytics India Magazine AIM ResearchPublished: Sep. 7, 2023 8:05 AM EDTUpdated: 59 minutes agoAchieving 1 Maturity Index 3 Penetration propels Genpact Leader positionRecognition reflects Genpacts strength data science, artificial intelligence AI, advanced analytics drive strategic business value clientsNEW YORK, Sept. 7, 2023 PRNewswire GenpactNYSE: G,a global professional services firm focused delivering outcomes transform businesses, today announced recognition Top Data Science Service Providers 2023 Analytics India Magazine AIM Research, market research firm specializes leveraging power AI data science deliver powerful insights todays markets.New Genpact logo September 2017 PRNewsfotoGenpactPRNewswireTo empower businesses making pivotal decisions, AIM Research presents Penetration Maturity PeMa Quadrant Data Science Service Providers industry benchmark companies evaluate competencies leading providers. The assessment evaluates core parameters: market Penetration Pe service Maturity Ma. Striking right balance criteria integral addressing client needs capitalizing potential revenue streams.Genpact secured rank Maturity Index position Penetration Index AIM Research 2023 PeMa quadrant, earning placement coveted Leaders quadrant. Additionally, Genpacts augmented intelligence capabilities, unique ability combine machine intelligence human intelligence, topped list key competencies differentiators leading data science service providers.In data AIdriven era, businesses seek partners provide actionable insights unlock efficiencies fuel competitive growth, said Harsh Kar, Global Business Leader, Data AI, Genpact. Our recognition Data Science Service Provider highlights commitment continuous development investment AI data analytics. This enables support clients quick, strategic decisions drive outcomes todays fastpaced environment.The PeMa study based rigorous industry research designed create Top Data Science Service Providers 2023list help businesses choose right data science partner aligned needs goals. This year, primary data came 36 participating firms, focusing key factors evaluating capabilities leading industry players provide analytics related services headway market.Learn Genpact Top Data Science Service Provider 2023 report, here.About Analytics India Magazine AIM ResearchAIM Research A subsidiary Analytics India Magazine provides rigorous, objective research advisory organizations plans achieve higher level success analytics implementations. As AI data science experts, AIM Research pioneering advanced market research shape way companies decisions. Our single, overriding goal equip clients insights, advice tools need create welloiled data driven enterprise. With decade experience belt, transforming businesses use AI datadriven insights succeed. Visit Analytics India Magazine chronicles technological progress space analytics, artificial intelligence, data science big data highlighting innovations, players, challenges shaping future India promotion discussion ideas thoughts smart, ardent, actionoriented individuals want change world.About GenpactGenpact NYSE: G global professional services firm delivering outcomes transform clients businesses shape future. Were guided realworld experience redesigning running thousands processes hundreds global companies. Our clients including Global Fortune 500 partner unique ability combine deep industry functional expertise, leading talent, proven methodologies drive collaborative innovation turns insights action delivers outcomes scale. We create lasting competitive advantages clients customers, running digitally enabled operations applying DataTechAI services design, build, transform businesses. And purpose. From New York New Delhi 30 countries between, 115,000 team passionate relentless pursuit world works better people. Get know onLinkedIn,Twitter,YouTube, andFacebook.MEDIA CONTACTS:Siya BelliappaGenpact Media Relations Global1 7185619843siya.belliappa original content download multimedia: GenpactThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .HomeNewsFirst Alert WeatherSportsCommunity CalendarLive NewscastsClosed CaptioningAudio DescriptionSubmit Photos VideosWTVG4247 Dorr St.Toledo, OH 43607419 5311313AdvertisingDigital AdvertisingPublic Inspection FileClosed CaptioningAudio DescriptionEEO StatementFCC Applicationscompliance 419 5311313At Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, .
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"striking", "right", "balance", "criteria", "integral", "addressing", "client", "needs", "capitalizing", "potential", "revenue", "streams", "genpact", "secured", "rank", "maturity", "index", "position", "penetration", "index", "aim", "research", "pema", "quadrant", "earning", "placement", "coveted", "leaders", "quadrant", "additionally", "genpacts", "augmented", "intelligence", "capabilities", "unique", "ability", "combine", "machine", "intelligence", "human", "intelligence", "topped", "list", "key", "competencies", "differentiators", "leading", "data", "science", "service", "providers", "data", "aidriven", "era", "businesses", "seek", "partners", "provide", "actionable", "insights", "unlock", "efficiencies", "fuel", "competitive", "growth", "said", "harsh", "kar", "global", "business", "leader", "data", "ai", "genpact", "recognition", "data", "science", "service", "provider", "highlights", "commitment", "continuous", "development", "investment", "ai", "data", "analytics", "enables", 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2023-08-14T00:00:00
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Artificial intelligence poses problems, opportunities for writers | 13newsnow.com
Artificial intelligence poses problems, opportunities for writers | 13newsnow.com Skip Navigation Share on Facebook Share on Twitter Share on SMS Share on Email Navigation News Back SITW Fest Local 13News Now Investigates Near Me Community Entertainment Features Health Military Money Nation World Politics Latest News Stories Maryland couple, teen girl identified as casualties in OBX house fire, officials say Rapper Magoo, former Timbaland collaborator from Norfolk, reportedly dies Weather Back Forecast Closings & Delays Radar Hurricane Center Weather Extras Traffic Submit Delay/Closing Latest Weather Stories FORECAST: More heat, increasing storm chances late Monday Maui officials and scientists warn that after the flames flicker out, toxic particles will remain Sports VERIFY Search Search: Search Right Now Norfolk, VA » 94° Norfolk, VA » Weather Closings Advertise With Us Coronavirus Links in the News 13Pros Hurricane Center Contact Us Meet the Team Making a Mark CONNECT Segments Sweepstakes Breaking News More () » Nation World Fiction writers fear the rise of AI, but also see it as a story to tell AI is a story to tell, and no longer just in science fiction. More Videos Next up in 5 Example video title will go here for this video Author: HILLEL ITALIE (AP National Writer) Published: 1:52 PM EDT August 13, 2023 Updated: 1:52 PM EDT August 13, 2023 NEW YORK — For a vast number of book writers, artificial intelligence is a threat to their livelihood and the very idea of creativity. More than 10,000 of them endorsed an open letter from the Authors Guild this summer, urging AI companies not to use copyrighted work without permission or compensation. At the same time, AI is a story to tell, and no longer just in science fiction. As present in the imagination as politics, the pandemic or climate change, AI has become part of the narrative for a growing number of novelists and short story writers who only need to follow the news to imagine a world upended. “I'm frightened by artificial intelligence, but also fascinated by it. There's a hope for divine understanding, for the accumulation of all knowledge, but at the same time there's an inherent terror in being replaced by non-human intelligence," said Helen Phillips, whose upcoming novel “Hum” tells of a wife and mother who loses her job to AI. “We've been seeing more and more about AI in book proposals,” said Ryan Doherty, vice president and editorial director at Celadon Books, which recently signed Fred Lunzker’s novel “Sike,” featuring an AI psychiatrist. “It’s the zeitgeist right now. And whatever is in the cultural zeitgeist seeps into fiction,” Doherty said. Other AI-themed novels expected in the next two years include Sean Michaels' “Do You Remember Being Born?", in which a poet agrees to collaborate with an AI poetry company; Bryan Van Dyke’s “In Our Likeness,” about a bureaucrat and a fact-checking program with the power to change facts; and A.E. Osworth’s “Awakened,” about a gay witch and her titanic clash with AI. Crime writer Jeffrey Diger, known for his thrillers set in contemporary Greece, is working on a novel touching upon AI and the metaverse, the outgrowth of being “continually on the lookout for what’s percolating on the edge of societal change,” he said. Authors are invoking AI to address the most human questions. In Sierra Greer's “Annie Bot,” the title name is an AI mate designed for a human male. For Greer, the novel was a way to explore her character’s “urgent desire to please,” adding that a robot girlfriend enabled her “to explore desire, respect, and longing in ways that felt very new and strange to me.” Amy Shearn’s “Animal Instinct” has its origins in the pandemic and in her personal life; she was recently divorced and had begun using dating apps. “It’s so weird how, with apps, you start to feel as if you’re going person-shopping,” she said. “And I thought, wouldn’t it be great if you could really pick and choose the best parts of all these people you encounter and sort of cobble them together to make your ideal person?" “Of course,” she added, "I don’t think anyone actually knows what their ideal person is, because so much of what draws us to mates is the unexpected, the ways in which people surprise us. That said, it seemed like an interesting premise for a novel.” Some authors aren't just writing about AI, but openly working with it. Earlier this year, journalist Stephen Marche used AI to write the novella “Death of An Author,” for which he drew upon everyone from Raymond Chandler to Haruki Murakami. Screenwriter and humorist Simon Rich collaborated with Brent Katz and Josh Morgenthau for “I Am Code,” a thriller in verse that came out this month and was generated by the AI program “code-davinci-002.” (Filmmaker Werner Herzog reads the audiobook edition). Osworth, who is trans, wanted to address comments by “Harry Potter” author J.K. Rowling that have offended many in the trans community, and to wrest from her the power of magic. At the same time, they worried the fictional AI in their book sounded too human, and decided AI should speak for AI. Osworth devised a crude program, based on the writings of Machiavelli among others, that would turn out a more mechanical kind of voice. “I like to say that CHATgpt is a Ferrari, while what I came up with is a skateboard with one square wheel. But I was much more interested in the skateboard with one square wheel,” they said. Michaels centers his new novel on a poet named Marian, in homage to poet Marianne Moore, and an AI program called Charlotte. He said the novel is about parenthood, labor, community, and also "this technology’s implications for art, language and our sense of identity.” Believing the spirit of “Do You Remember Being Born?” called for the presence of actual AI text, he devised a program that would generate prose and poetry, and uses an alternate format in the novel so readers know when he's using AI. In one passage, Marian is reviewing some of her collaboration with Charlotte. “The preceding day’s work was a collection of glass cathedrals. I reread it with alarm. Turns of phrase I had mistaken for beautiful, which I now found unintelligible,” Michaels writes. “Charlotte had simply surprised me: I would propose a line, a portion of a line, and what the system spat back upended my expectations. I had been seduced by this surprise.” And now AI speaks: “I had mistaken a fit of algorithmic exuberance for the truth.” Related Articles Hollywood strike matches 100-day mark of last writers' strike Striking screenwriters will resume negotiations with studios on Friday Before You Leave, Check This Out Jobs Terms of Service Privacy Policy Ad Choices EEO Public File Report FCC Online Public Inspection File Closed Caption Procedures Do Not Sell or Share My Personal Information © 2023 WVEC-TV. All Rights Reserved. WVEC would like to send you push notifications about the latest news and weather. Notifications can be turned off anytime in the browser settings. No Thanks Allow
Artificial intelligence poses problems, opportunities for writers
Artificial intelligence poses problems, opportunities writers Skip Navigation Share Facebook Share Twitter Share SMS Share Email Navigation News Back SITW Fest Local 13News Now Investigates Near Me Community Entertainment Features Health Military Money Nation World Politics Latest News Stories Maryland couple, teen girl identified casualties OBX house fire, officials Rapper Magoo, Timbaland collaborator Norfolk, reportedly dies Weather Back Forecast Closings Delays Radar Hurricane Center Weather Extras Traffic Submit DelayClosing Latest Weather Stories FORECAST: More heat, increasing storm chances late Monday Maui officials scientists warn flames flicker out, toxic particles remain Sports VERIFY : Right Now Norfolk, VA 94 Norfolk, VA Weather Closings Advertise With Us Coronavirus Links News 13Pros Hurricane Center Us Meet Team Making Mark CONNECT Segments Sweepstakes Breaking News More Nation World Fiction writers fear rise AI, story tell AI story tell, longer science fiction. More Videos Next 5 Example video title video Author: HILLEL ITALIE AP National Writer Published: 1:52 PM EDT August 13, 2023 Updated: 1:52 PM EDT August 13, 2023 NEW YORK For vast number book writers, artificial intelligence threat livelihood idea creativity. More 10,000 endorsed open letter Authors Guild summer, urging AI companies use copyrighted work permission compensation. At time, AI story tell, longer science fiction. As present imagination politics, pandemic climate change, AI narrative growing number novelists short story writers need follow news imagine world upended. Im frightened artificial intelligence, fascinated it. Theres hope divine understanding, accumulation knowledge, time theres inherent terror replaced nonhuman intelligence, said Helen Phillips, upcoming novel Hum tells wife mother loses job AI. Weve seeing AI book proposals, said Ryan Doherty, vice president editorial director Celadon Books, recently signed Fred Lunzkers novel Sike, featuring AI psychiatrist. Its zeitgeist right now. And cultural zeitgeist seeps fiction, Doherty said. Other AIthemed novels expected years include Sean Michaels Do You Remember Being Born?, poet agrees collaborate AI poetry company; Bryan Van Dykes In Our Likeness, bureaucrat factchecking program power change facts; A.E. Osworths Awakened, gay witch titanic clash AI. Crime writer Jeffrey Diger, known thrillers set contemporary Greece, working novel touching AI metaverse, outgrowth continually lookout whats percolating edge societal change, said. Authors invoking AI address human questions. In Sierra Greers Annie Bot, title AI mate designed human male. For Greer, novel way explore characters urgent desire please, adding robot girlfriend enabled explore desire, respect, longing ways felt new strange me. Amy Shearns Animal Instinct origins pandemic personal life; recently divorced begun dating apps. Its weird how, apps, start feel youre going personshopping, said. And I thought, wouldnt great pick choose best parts people encounter sort cobble ideal person? Of course, added, I dont think actually knows ideal person is, draws mates unexpected, ways people surprise us. That said, like interesting premise novel. Some authors arent writing AI, openly working it. Earlier year, journalist Stephen Marche AI write novella Death An Author, drew Raymond Chandler Haruki Murakami. Screenwriter humorist Simon Rich collaborated Brent Katz Josh Morgenthau I Am Code, thriller verse came month generated AI program codedavinci002. Filmmaker Werner Herzog reads audiobook edition. Osworth, trans, wanted address comments Harry Potter author J.K. Rowling offended trans community, wrest power magic. At time, worried fictional AI book sounded human, decided AI speak AI. Osworth devised crude program, based writings Machiavelli others, turn mechanical kind voice. I like CHATgpt Ferrari, I came skateboard square wheel. But I interested skateboard square wheel, said. Michaels centers new novel poet named Marian, homage poet Marianne Moore, AI program called Charlotte. He said novel parenthood, labor, community, technologys implications art, language sense identity. Believing spirit Do You Remember Being Born? called presence actual AI text, devised program generate prose poetry, uses alternate format novel readers know hes AI. In passage, Marian reviewing collaboration Charlotte. The preceding days work collection glass cathedrals. I reread alarm. Turns phrase I mistaken beautiful, I unintelligible, Michaels writes. Charlotte simply surprised me: I propose line, portion line, spat upended expectations. I seduced surprise. And AI speaks: I mistaken fit algorithmic exuberance truth. Related Articles Hollywood strike matches 100day mark writers strike Striking screenwriters resume negotiations studios Friday Before You Leave, Check This Out Jobs Ad Choices EEO Public File Report FCC Online Public Inspection File Closed Caption Procedures Do Not Sell Share My Personal Information 2023 WVECTV. . WVEC like send push notifications latest news weather. Notifications turned anytime browser settings. No Thanks Allow
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https://www.14news.com/prnewswire/2022/06/09/social-crm-leader-gosky-ai-completes-seed-funding-round-led-by-vc-firm-500-global/
2022-06-09T00:00:00
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Social CRM Leader GoSky AI Completes Seed Funding Round Led by VC firm 500 Global
Social CRM Leader GoSky AI Completes Seed Funding Round Led by VC firm 500 Global Skip to contentBirthday ClubAsk the ExpertPenguin CamCream of the Crop14 Job LinkBusiness FAQNewsCoronavirusDeadly Storms 2021WeatherSportsCalendarAbout UsTVRiver City WeekendSearchHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNationalSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosWeatherSWAT Mosquito ForecastSkyVision HDSign Up Your School/Business/Organization for our Closing SystemClosingsSign Up for Closings AccessSportsBasketballViewer Photos & VideosScoresHealthCoronavirusPeace of MindTrafficCommunityCovering CoronavirusCream of the CropCalendarAnti BullyingTri-State TriumphsProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigate TVCircle - Country Music & LifestylePress ReleasesSocial CRM Leader GoSky AI Completes Seed Funding Round Led by VC firm 500 GlobalPublished: Jun. 9, 2022 at 10:00 AM CDT|Updated: 43 minutes agoTAIPEI, June 9, 2022 /PRNewswire/ -- GoSky AI announced today the completion of a seed funding round led by 500 Global, a leading venture capital firm. Investors in this round also include the Co-Founder & CEO of ThunderCore, Chris Wang, as well as Xchange Taiwan. With the funding in hand, GoSky AI will continue to promote product innovation while expanding internationally.Brands could convert their social media followers into members in just 3 seconds by using GoSky Social membership system(PRNewswire)GoSky Social CRM supports Brands turns every social interaction into revenue.(PRNewswire)The World's Unique App on Social Platforms. Build Brand's Membership System Within Just One HourA leading social membership system company from Taiwan, GoSky AI was founded in 2018. It started from Taiwan and has established footprints in Canada, Thailand and Vietnam. By using GoSky AI's social CRM, brands are able to convert their social media followers on Facebook and Instagram into members in just 3 seconds; same as developing brands' own app on fan pages.According to Forbes magazine, over 90% of people prefer not to download mobile apps, providing evidence that apps are no longer the best channel for brands to manage their members. As reported by global IT research and consulting firm Gartner, 80% of brands would prefer to message customers on third-party platforms rather than Apps in the next three years. GoSky AI recommends a no coding social membership system that can be set up on social platforms in less than one hour through GoSky AI SaaS service. The social membership system not only replaces traditional Apps but also is the most lightweight digital marketing tool to convert social media traffic into sales. It provides brands with the most effective membership economic solution.GoSky Social CRM draws on marketing technology (MarTech) and first-hand data to optimize business models for brands and effectively guides the whole process from social interaction to an in-depth relationship whereby brands convert social media followers into lifetime members.Over 90% Conversion Rates. GoSky AI Vitalizes Membership Economy and Helps Brands Connect with Web3 Easily.According to Meta, more than 1 billion users communicate with companies via social messaging every week. Brands receive 2 times of conversational value and 5 times in profit. With specialization in food and beverage services, sports, new media, eCommerce, entertainment, retail and consumer goods industries, GoSky Social CRM has helped brands in these sectors raise their conversion rate to over 90%, with an average interaction cost of less than USD $0.014, saving brands' over 20 times budget. In 2021, GoSky AI in cooperation with its brand partners, tallied 11 million social users who interacted with brands amid several hundred million conversations. GoSky Social CRM initiates conversations with consumers via a chatbot and rapidly converts social media followers into paying customers through the proprietary Loyal CRM system while enhancing the lifetime value of existing users, helping brands expand their loyal member base and bolster the membership economy by creating a closed loop social ecosystem.Many known brands have recently announced plans to add NFTs (non-fungible tokens) as one of their membership benefits. In response to the global trend towards NFTs, GoSky AI plans to further increase the benefits of the membership economy for brands by combining GoSky Social CRM with NFTs. Brand expects to strengthen members' loyalty, provide exclusive experiences and enhance member interactions. Furthermore, GoSky AI provides brands to create NFT utilities by offering exclusive points and member benefits. GoSky AI helps brands to connect with their members deeply, transform through Martech and connect with the Web3 era easily.Chris Wang, Co-Founder & CEO of ThunderCore, also states GoSky AI has potential to help brand, KOLs (key opinion leader), and professional sports teams to digitally transform to the Web 3 world by issuing NFTs and tokens to fans. Meanwhile, providing cryptocurrency wallet within Facebook Messenger without worrying about paying the Gas Fee or adopting new softwares would allow the general public to hold NFT easily. These technologies make Web3 popularized and provide better user experiences.GoSky AI Furthers the Implementation of Two Key Strategies On Global Roadmap While Continuing to Drive Social Innovation through Technology"Over the past few years, with GoSky Social CRM, we have achieved multiple important milestones in terms of facilitating digital transformation for corporate brands, helping them monetize social traffic, and providing them with a diverse range of complete MarTech solutions," said GoSky AI Co-Founder and CEO Fash Chang. "Messenger delivers 3.5 times more business outcomes from communications for brands than SMS and 20 times more such outcomes than Email. It has become essential for corporate brands to accelerate the development of conversational commerce and the membership economy by building connections with consumers.""As a next step, GoSky AI plans to further its international expansion strategy and continue to empower brands to connect with Web3 in tandem with fulfilling the deep commitment to existing markets, with the aim of building a new international roadmap," added Mr. Chang. "By leveraging data to create a positive impact on society, we help brands to optimize business decisions while explore new MarTech opportunities.""GoSky AI was part of the first batch of 500 Global Accelerator Taiwan with TTA, and we saw first hand how quickly the team has moved to build its impressive technology. We believe the team has the potential to conquer global markets," said Shawn Chu, Principal at 500 Global.【 About GoSky AI Inc. 】" Turn Every Interaction Into Revenue " GoSky AI offers a social membership system with no coding requirements for businesses to maximize customer value, social engagement, and membership economics.Website: https://www.goskyai.com/ Facebook: https://www.facebook.com/goskyai Instagram: https://www.instagram.com/goskyai/ LinkedIn : https://www.linkedin.com/company/goskyaiView original content to download multimedia:https://www.prnewswire.com/news-releases/social-crm-leader-gosky-ai-completes-seed-funding-round-led-by-vc-firm-500-global-301565072.htmlSOURCE GoSky AIThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingClosed CaptioningWFIE CareersA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
Social CRM Leader GoSky AI Completes Seed Funding Round Led by VC firm 500 Global
Social CRM Leader GoSky AI Completes Seed Funding Round Led VC firm 500 Global Skip contentBirthday ClubAsk ExpertPenguin CamCream Crop14 Job LinkBusiness FAQNewsCoronavirusDeadly Storms 2021WeatherSportsCalendarTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNationalSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosWeatherSWAT Mosquito ForecastSkyVision HDSign Up Your SchoolBusinessOrganization Closing SystemClosingsSign Up Closings AccessSportsBasketballViewer Photos VideosScoresHealthCoronavirusPeace MindTrafficCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigate TVCircle Country Music LifestylePress ReleasesSocial CRM Leader GoSky AI Completes Seed Funding Round Led VC firm 500 GlobalPublished: Jun. 9, 2022 10:00 AM CDTUpdated: 43 minutes agoTAIPEI, June 9, 2022 PRNewswire GoSky AI announced today completion seed funding round led 500 Global, leading venture capital firm. Investors round include CoFounder CEO ThunderCore, Chris Wang, Xchange Taiwan. With funding hand, GoSky AI continue promote product innovation expanding internationally.Brands convert social media followers members 3 seconds GoSky Social membership systemPRNewswireGoSky Social CRM supports Brands turns social interaction revenue.PRNewswireThe Worlds Unique App Social Platforms. Build Brands Membership System Within Just One HourA leading social membership company Taiwan, GoSky AI founded 2018. It started Taiwan established footprints Canada, Thailand Vietnam. By GoSky AIs social CRM, brands able convert social media followers Facebook Instagram members 3 seconds; developing brands app fan s.According Forbes magazine, 90 people prefer download mobile apps, providing evidence apps longer best channel brands manage members. As reported global IT research consulting firm Gartner, 80 brands prefer message customers thirdparty platforms Apps years. GoSky AI recommends coding social membership set social platforms hour GoSky AI SaaS service. The social membership replaces traditional Apps lightweight digital marketing tool convert social media traffic sales. It provides brands effective membership economic solution.GoSky Social CRM draws marketing technology MarTech firsthand data optimize business models brands effectively guides process social interaction indepth relationship brands convert social media followers lifetime members.Over 90 Conversion Rates. GoSky AI Vitalizes Membership Economy Helps Brands Connect Web3 Easily.According Meta, 1 billion users communicate companies social messaging week. Brands receive 2 times conversational value 5 times profit. With specialization food beverage services, sports, new media, eCommerce, entertainment, retail consumer goods industries, GoSky Social CRM helped brands sectors raise conversion rate 90, average interaction cost USD 0.014, saving brands 20 times budget. In 2021, GoSky AI cooperation brand partners, tallied 11 million social users interacted brands amid million conversations. GoSky Social CRM initiates conversations consumers chatbot rapidly converts social media followers paying customers proprietary Loyal CRM enhancing lifetime value existing users, helping brands expand loyal member base bolster membership economy creating closed loop social ecosystem.Many known brands recently announced plans add NFTs nonfungible tokens membership benefits. In response global trend NFTs, GoSky AI plans increase benefits membership economy brands combining GoSky Social CRM NFTs. Brand expects strengthen members loyalty, provide exclusive experiences enhance member interactions. Furthermore, GoSky AI provides brands create NFT utilities offering exclusive points member benefits. GoSky AI helps brands connect members deeply, transform Martech connect Web3 era easily.Chris Wang, CoFounder CEO ThunderCore, states GoSky AI potential help brand, KOLs key opinion leader, professional sports teams digitally transform Web 3 world issuing NFTs tokens fans. Meanwhile, providing cryptocurrency wallet Facebook Messenger worrying paying Gas Fee adopting new softwares allow general public hold NFT easily. These technologies Web3 popularized provide better user experiences.GoSky AI Furthers Implementation Two Key Strategies On Global Roadmap While Continuing Drive Social Innovation TechnologyOver past years, GoSky Social CRM, achieved multiple important milestones terms facilitating digital transformation corporate brands, helping monetize social traffic, providing diverse range complete MarTech solutions, said GoSky AI CoFounder CEO Fash Chang. Messenger delivers 3.5 times business outcomes communications brands SMS 20 times outcomes Email. It essential corporate brands accelerate development conversational commerce membership economy building connections consumers.As step, GoSky AI plans international expansion strategy continue empower brands connect Web3 tandem fulfilling deep commitment existing markets, aim building new international roadmap, added Mr. Chang. By leveraging data create positive impact society, help brands optimize business decisions explore new MarTech opportunities.GoSky AI batch 500 Global Accelerator Taiwan TTA, saw hand quickly team moved build impressive technology. We believe team potential conquer global markets, said Shawn Chu, Principal 500 Global. About GoSky AI . Turn Every Interaction Into Revenue GoSky AI offers social membership coding requirements businesses maximize customer value, social engagement, membership economics.Website: Facebook: Instagram: LinkedIn : original content download multimedia: GoSky AIThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingClosed CaptioningWFIE CareersA Gray Media Group, . Station 20022022 Gray Television, .
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"channel", "brands", "manage", "members", "reported", "global", "research", "consulting", "firm", "gartner", "brands", "prefer", "message", "customers", "thirdparty", "platforms", "apps", "years", "gosky", "ai", "recommends", "coding", "social", "membership", "set", "social", "platforms", "hour", "gosky", "ai", "saas", "service", "social", "membership", "replaces", "traditional", "apps", "lightweight", "digital", "marketing", "tool", "convert", "social", "media", "traffic", "sales", "provides", "brands", "effective", "membership", "economic", "solution", "gosky", "social", "crm", "draws", "marketing", "technology", "martech", "firsthand", "data", "optimize", "business", "models", "brands", "effectively", "guides", "process", "social", "interaction", "indepth", "relationship", "brands", "convert", "social", "media", "followers", "lifetime", "members", "conversion", "rates", "gosky", "ai", "vitalizes", "membership", "economy", "helps", "brands", "connect", "web", "easily", "according", "meta", "billion", "users", "communicate", "companies", "social", "messaging", "week", "brands", "receive", "times", "conversational", "value", "times", "profit", "specialization", "food", "beverage", "services", "sports", "new", "media", "ecommerce", "entertainment", "retail", "consumer", "goods", "industries", "gosky", "social", "crm", "helped", "brands", "sectors", "raise", "conversion", "rate", "average", "interaction", "cost", "usd", "saving", "brands", "times", "budget", "gosky", "ai", "cooperation", "brand", "partners", "tallied", "million", "social", "users", "interacted", "brands", "amid", "million", "conversations", "gosky", "social", "crm", "initiates", "conversations", "consumers", "chatbot", "rapidly", "converts", "social", "media", "followers", "paying", "customers", "proprietary", "loyal", "crm", "enhancing", "lifetime", "value", "existing", "users", "helping", "brands", "expand", "loyal", "member", "base", "bolster", "membership", "economy", "creating", "closed", "loop", "social", "ecosystem", "known", "brands", "recently", "announced", "plans", "add", "nfts", "nonfungible", "tokens", "membership", "benefits", "response", "global", "trend", "nfts", "gosky", "ai", "plans", "increase", "benefits", "membership", "economy", "brands", "combining", "gosky", "social", "crm", "nfts", "brand", "expects", "strengthen", "members", "loyalty", "provide", "exclusive", "experiences", "enhance", "member", "interactions", "furthermore", "gosky", "ai", "provides", "brands", "create", "nft", "utilities", "offering", "exclusive", "points", "member", "benefits", "gosky", "ai", "helps", "brands", "connect", "members", "deeply", "transform", "martech", "connect", "web", "era", "easily", "chris", "wang", "cofounder", "ceo", "thundercore", "states", "gosky", "ai", "potential", "help", "brand", "kols", "key", "opinion", "leader", "professional", "sports", "teams", "digitally", "transform", "web", "world", "issuing", "nfts", "tokens", "fans", "providing", "cryptocurrency", "wallet", "facebook", "messenger", "worrying", "paying", "gas", "fee", "adopting", "new", "softwares", "allow", "general", "public", "hold", "nft", "easily", "technologies", "web", "popularized", "provide", "better", "user", "experiences", "gosky", "ai", "furthers", "implementation", "key", "strategies", "global", "roadmap", "continuing", "drive", "social", "innovation", "technologyover", "past", "years", "gosky", "social", "crm", "achieved", "multiple", "important", "milestones", "terms", "facilitating", "digital", "transformation", "corporate", "brands", "helping", "monetize", "social", "traffic", "providing", "diverse", "range", "complete", "martech", "solutions", "said", "gosky", "ai", "cofounder", "ceo", "fash", "chang", "messenger", "delivers", "times", "business", "outcomes", "communications", "brands", "sms", "times", "outcomes", "email", "essential", "corporate", "brands", "accelerate", "development", "conversational", "commerce", "membership", "economy", "building", "connections", "consumers", "step", "gosky", "ai", "plans", "international", "expansion", "strategy", "continue", "empower", "brands", "connect", "web", "tandem", "fulfilling", "deep", "commitment", "existing", "markets", "aim", "building", "new", "international", "roadmap", "added", "mr", "chang", "leveraging", "data", "create", "positive", "impact", "society", "help", "brands", "optimize", "business", "decisions", "explore", "new", "martech", "opportunities", "gosky", "ai", "batch", "global", "accelerator", "taiwan", "tta", "saw", "hand", "quickly", "team", "moved", "build", "impressive", "technology", "believe", "team", "potential", "conquer", "global", "markets", "said", "shawn", "chu", "principal", "global", "gosky", "ai", "turn", "interaction", "revenue", "gosky", "ai", "offers", "social", "membership", "coding", "requirements", "businesses", "maximize", "customer", "value", "social", "engagement", "membership", "economics", "website", "facebook", "instagram", "linkedin", "original", "content", "download", "multimedia", "gosky", "aithe", "press", "release", "provided", "courtesy", "prnewswire", "views", "opinions", "statements", "press", "release", "endorsed", "gray", "media", "group", "necessarily", "state", "reflect", "gray", "media", "group", "uswfie", "mt", "auburn", "roadevansville", "public", "inspection", "filepublicfile", "fcc", "public", "file", "helpfcc", "applicationseeo", "captioningwfie", "careersa", "gray", "media", "group", "station", "gray", "television" ]
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https://www.14news.com/prnewswire/2022/07/01/viettel-enters-ai-collaboration-with-nvidia/
2022-07-01T00:00:00
en
Viettel Enters AI Collaboration with NVIDIA
Viettel Enters AI Collaboration with NVIDIA Skip to contentBirthday ClubAsk the ExpertPenguin CamCream of the Crop14 Job LinkBusiness FAQNewsCoronavirusDeadly Storms 2021WeatherSportsCalendarAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNationalSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosWeatherSWAT Mosquito ForecastSkyVision HDSign Up Your School/Business/Organization for our Closing SystemClosingsSign Up for Closings AccessSportsBasketballViewer Photos & VideosScoresHealthCoronavirusPeace of MindTrafficCommunityCovering CoronavirusCream of the CropCalendarAnti BullyingTri-State TriumphsProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigate TVCircle - Country Music & LifestylePress ReleasesViettel Enters AI Collaboration with NVIDIAPublished: Jun. 30, 2022 at 10:41 PM CDT|Updated: 2 hours agoHANOI, Vietnam, June 30, 2022 /PRNewswire/ -- Viettel Group and NVIDIA signed a Memorandum of Understanding (MoU) to establish a strategic partnership on using Artificial Intelligence (AI) to advance Viettel and Vietnam's technology research and solutions.Viettel is the first company in Vietnam, and also one of five in Asia to officially establish a strategic partnership with NVIDIA involving AI initiatives.(PRNewswire)Viettel is the first Vietnam company and one of five in Asia to officially establish a strategic partnership with NVIDIA involving AI initiatives. NVIDIA is a global leader in AI hardware and software from edge to cloud computing. The company's technologies are used in 70% of the world's top 500 fastest supercomputers.Viettel will join NVIDIA's Partner Network, a global ecosystem of leading companies across industries, and expect to benefit from NVIDIA's expertise in opportunities for machine learning (ML) and AI research, ML/AI industry collaborations, and other strategic engagements.Viettel and NVIDIA will collaborate to accelerate the research and implementation of Viettel's AI technology in robotics, computer vision, natural language process, digital twins, and other areas by leveraging NVIDIA's high-performance computing platforms and ecosystems.The companies plan to organize shared training courses, advisory sessions, seminars, and conferences to enhance technical expertise and domestic workforce readiness in utilizing NVIDIA GPU-accelerated computing in AI model training, testing, and application. The collaboration between Viettel and NVIDIA marks a milestone in implementing Vietnam's National AI Strategy and bringing Viettel's AI solutions to the international market.At the event, Viettel Deputy Director, Nguyen Dinh Chien shared, "With the ultimate goal of advancing Vietnam's AI leadership, Viettel will promote further collaboration with world-leading technology firms. We are delighted to have NVIDIA as a key partner to drive our AI innovations to greater heights and to accelerate our AI research competency."Keith Strier, Vice President of Worldwide AI Initiatives, NVIDIA stated: "As the only AI company that operates inside every other AI company, NVIDIA will join with Viettel to upskill Vietnam's workforce and forge the foundation for an expansive domestic AI industry. Viettel is taking action to ensure Vietnam has the necessary human and compute infrastructure needed to be an AI Nation. Within three years, I expect that other countries will aspire to be the 'Vietnam' of their region."View original content to download multimedia:https://www.prnewswire.com/news-releases/viettel-enters-ai-collaboration-with-nvidia-301579354.htmlSOURCE Viettel GroupThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingClosed CaptioningWFIE CareersA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
Viettel Enters AI Collaboration with NVIDIA
Viettel Enters AI Collaboration NVIDIA Skip contentBirthday ClubAsk ExpertPenguin CamCream Crop14 Job LinkBusiness FAQNewsCoronavirusDeadly Storms 2021WeatherSportsCalendarTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNationalSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosWeatherSWAT Mosquito ForecastSkyVision HDSign Up Your SchoolBusinessOrganization Closing SystemClosingsSign Up Closings AccessSportsBasketballViewer Photos VideosScoresHealthCoronavirusPeace MindTrafficCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigate TVCircle Country Music LifestylePress ReleasesViettel Enters AI Collaboration NVIDIAPublished: Jun. 30, 2022 10:41 PM CDTUpdated: 2 hours agoHANOI, Vietnam, June 30, 2022 PRNewswire Viettel Group NVIDIA signed Memorandum Understanding MoU establish strategic partnership Artificial Intelligence AI advance Viettel Vietnams technology research solutions.Viettel company Vietnam, Asia officially establish strategic partnership NVIDIA involving AI initiatives.PRNewswireViettel Vietnam company Asia officially establish strategic partnership NVIDIA involving AI initiatives. NVIDIA global leader AI hardware software edge cloud computing. The companys technologies 70 worlds 500 fastest supercomputers.Viettel join NVIDIAs Partner Network, global ecosystem leading companies industries, expect benefit NVIDIAs expertise opportunities machine learning ML AI research, MLAI industry collaborations, strategic engagements.Viettel NVIDIA collaborate accelerate research implementation Viettels AI technology robotics, vision, natural language process, digital twins, areas leveraging NVIDIAs highperformance computing platforms ecosystems.The companies plan organize shared training courses, advisory sessions, seminars, conferences enhance technical expertise domestic workforce readiness utilizing NVIDIA GPUaccelerated computing AI model training, testing, application. The collaboration Viettel NVIDIA marks milestone implementing Vietnams National AI Strategy bringing Viettels AI solutions international market.At event, Viettel Deputy Director, Nguyen Dinh Chien shared, With ultimate goal advancing Vietnams AI leadership, Viettel promote collaboration worldleading technology firms. We delighted NVIDIA key partner drive AI innovations greater heights accelerate AI research competency.Keith Strier, Vice President Worldwide AI Initiatives, NVIDIA stated: As AI company operates inside AI company, NVIDIA join Viettel upskill Vietnams workforce forge foundation expansive domestic AI industry. Viettel taking action ensure Vietnam necessary human compute infrastructure needed AI Nation. Within years, I expect countries aspire Vietnam region.View original content download multimedia: Viettel GroupThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingClosed CaptioningWFIE CareersA Gray Media Group, . Station 20022022 Gray Television, .
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https://www.14news.com/prnewswire/2023/07/06/addentax-group-corp-leverages-gw-reader-sdn-bhd-s-ai-technology-drive-next-level-operational-excellence/
2023-07-06T00:00:00
en
Addentax Group Corp. Leverages GW Reader Sdn Bhd 's AI Technology to Drive Next-Level Operational Excellence
Addentax Group Corp. Leverages GW Reader Sdn Bhd 's AI Technology to Drive Next-Level Operational Excellence Skip to contentBirthday ClubCream of the CropAsk the ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsSunrise ShoutoutElectionsNational NewsSpecial CoveragePeace of MindWeatherSportsCalendarAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosPeace of MindClick Here for ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsBasketballViewer Photos & VideosScoresStats & PredictionsHow to WatchClosingsSign Up for Closings AccessClosings Admin LoginHealthCoronavirusCommunityCovering CoronavirusCream of the CropCalendarAnti BullyingTri-State TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle - Country Music & LifestylePress ReleasesAddentax Group Corp. Leverages GW Reader Sdn Bhd 's AI Technology to Drive Next-Level Operational ExcellencePublished: Jul. 6, 2023 at 8:15 AM CDT|Updated: 26 minutes agoSHENZHEN, China, July 6, 2023 /PRNewswire/ -- Addentax Group Corp. ("Addentax" or the "Company") (Nasdaq: ATXG), an integrated service provider focusing on garment manufacturing, logistics service, property management, and subleasing, has announced a significant strategic collaboration with GW Reader Sdn Bhd ("GW Reader"), a global pan-entertainment platform with a focus on online text publishing, web novel translations, and an online writing platform. This partnership marks a major milestone for both companies as they join forces to enhance their respective offerings and drive innovation within the global content industry.On June 30, 2023, Addentax has formed a cooperation leading certain Games-as-a-Service ("GaaS") firms to launch a project focusing on the development of Artificial Intelligence ("AI") Online Operational Tools (the "AI project"), GW Reader's AI technology and expertise come into play. GW Reader aim to unlock new opportunities and enhance the capabilities of the AI project through the utilization of its AI algorithms.While GW Reader's core expertise lies in the online content industry, their AI algorithms have the potential to transform various aspects of Addentax's operations. By utilizing GW Reader's AI algorithms, Addentax can streamline its garment manufacturing processes. These algorithms can optimize production planning, improve quality control, and automate certain aspects of the manufacturing workflow. This will result in increased operational efficiency, reduced production costs, and improved overall output.GW Reader's AI algorithms can also be leveraged to optimize Addentax's logistics services. These algorithms can enhance demand forecasting, route optimization, and inventory management, leading to faster order processing, improved supply chain efficiency, and reduced transportation costs.Simultaneously, the integration of GW Reader's AI algorithms can bring efficiency to Addentax's property management and subleasing operations. By automating tasks such as tenant screening, lease agreement management, and maintenance scheduling, the algorithms can streamline operations, improve tenant experiences, and optimize occupancy rates."We are excited to collaborate with GW Reader and harness their  AI technology to transform our operations," stated Mr. Hong Zhida, Chairman and CEO of Addentax. "By leveraging the power of AI, we anticipate significant advancements in operational efficiency, enabling us to better serve our clients and maintain our leadership position in the industry."The collaboration between Addentax and GW Reader highlights the shared commitment of both companies to harness the potential of technology and drive growth in their respective industries. With the integration of GW Reader's AI technology, Addentax is positioned to achieve operational optimization, creating enduring value for its stakeholders.About Addentax Group Corp. (NASDAQ: ATXG)Addentax is an integrated service provider specializing in garment manufacturing, logistics services, property management, and subleasing. Its apparel manufacturing business includes sales to wholesalers and is based in China. The logistics business, which includes delivery and express services, covers 79 cities in 7 provinces and 2 municipalities in China. The property management and subleasing business provides relevant services to clothing wholesalers and retailers in the apparel market. The epidemic prevention supplies business includes manufacturing and distributing quarantine products, as well as reselling supplies purchased from the third parties in domestic and overseas markets. More information please visit the website: https://www.addentax.com/.Safe Harbor StatementAll statements other than statements of historical fact in this announcement are forward-looking statements in nature within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements involve known and unknown risks and uncertainties and are based on current expectations and projections about future events and financial trends that the Company believes may affect its financial condition, results of operations, business strategy and financial needs. Words or phrases such as "may," "will," "expect," "anticipate," "aim," "estimate," "intend," "plan," "believe," "potential," "continue," "is/are likely to" or other similar expressions are intended to identify such forward-looking statements. The Company undertakes no obligation to update forward-looking statements to reflect subsequent occurring events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to consider risk factors, including those described in the Company's filings with the SEC, that may affect the Company's future results. All forward-looking statements attributable to the Company and its subsidiaries or persons acting on their behalf are expressly qualified in their entirety by these risk factors. The forward-looking events discussed in this press release and other statements made from time to time by us or our representatives, may not occur, and actual events and results may differ materially and are subject to risks, uncertainties, and assumptions about us. We are not obligated to publicly update or revise any forward-looking statement, whether as a result of uncertainties and assumptions, the forward-looking events discussed in this press release and other statements made from time to time by us or our representatives might not occur.Company Contact:Public Relations Contact:Addentax Group Corp. Corp.Phone: + (86) 755 86961 [email protected] Relations Contact: Sherry ZhengWeitian Group [email protected] original content:https://www.prnewswire.com/news-releases/addentax-group-corp-leverages-gw-reader-sdn-bhd-s-ai-technology-to-drive-next-level-operational-excellence-301871163.htmlSOURCE Addentax Group Corp.The above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionWFIE CareersAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
Addentax Group Corp. Leverages GW Reader Sdn Bhd 's AI Technology to Drive Next-Level Operational Excellence
Addentax Group Corp. Leverages GW Reader Sdn Bhd AI Technology Drive NextLevel Operational Excellence Skip contentBirthday ClubCream CropAsk ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsSunrise ShoutoutElectionsNational NewsSpecial CoveragePeace MindWeatherSportsCalendarTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosPeace MindClick Here ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsBasketballViewer Photos VideosScoresStats PredictionsHow WatchClosingsSign Up Closings AccessClosings Admin HealthCoronavirusCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle Country Music LifestylePress ReleasesAddentax Group Corp. Leverages GW Reader Sdn Bhd AI Technology Drive NextLevel Operational ExcellencePublished: Jul. 6, 2023 8:15 AM CDTUpdated: 26 minutes agoSHENZHEN, China, July 6, 2023 PRNewswire Addentax Group Corp. Addentax Company Nasdaq: ATXG, integrated service provider focusing garment manufacturing, logistics service, property management, subleasing, announced significant strategic collaboration GW Reader Sdn Bhd GW Reader, global panentertainment platform focus online text publishing, web novel translations, online writing platform. This partnership marks major milestone companies join forces enhance respective offerings drive innovation global content industry.On June 30, 2023, Addentax formed cooperation leading certain GamesasaService GaaS firms launch project focusing development Artificial Intelligence AI Online Operational Tools AI project, GW Readers AI technology expertise come play. GW Reader aim unlock new opportunities enhance capabilities AI project utilization AI algorithms.While GW Readers core expertise lies online content industry, AI algorithms potential transform aspects Addentaxs operations. By utilizing GW Readers AI algorithms, Addentax streamline garment manufacturing processes. These algorithms optimize production planning, improve quality control, automate certain aspects manufacturing workflow. This result increased operational efficiency, reduced production costs, improved overall output.GW Readers AI algorithms leveraged optimize Addentaxs logistics services. These algorithms enhance demand forecasting, route optimization, inventory management, leading faster order processing, improved supply chain efficiency, reduced transportation costs.Simultaneously, integration GW Readers AI algorithms bring efficiency Addentaxs property management subleasing operations. By automating tasks tenant screening, lease agreement management, maintenance scheduling, algorithms streamline operations, improve tenant experiences, optimize occupancy rates.We excited collaborate GW Reader harness AI technology transform operations, stated Mr. Hong Zhida, Chairman CEO Addentax. By leveraging power AI, anticipate significant advancements operational efficiency, enabling better serve clients maintain leadership position industry.The collaboration Addentax GW Reader highlights shared commitment companies harness potential technology drive growth respective industries. With integration GW Readers AI technology, Addentax positioned achieve operational optimization, creating enduring value stakeholders.About Addentax Group Corp. NASDAQ: ATXGAddentax integrated service provider specializing garment manufacturing, logistics services, property management, subleasing. Its apparel manufacturing business includes sales wholesalers based China. The logistics business, includes delivery express services, covers 79 cities 7 provinces 2 municipalities China. The property management subleasing business provides relevant services clothing wholesalers retailers apparel market. The epidemic prevention supplies business includes manufacturing distributing quarantine products, reselling supplies purchased parties domestic overseas markets. More information visit website: Harbor StatementAll statements statements historical fact announcement forwardlooking statements nature meaning Private Securities Litigation Reform Act 1995. These forwardlooking statements involve known unknown risks uncertainties based current expectations projections future events financial trends Company believes affect financial condition, results operations, business strategy financial needs. Words phrases may, will, expect, anticipate, aim, estimate, intend, plan, believe, potential, continue, isare likely similar expressions intended identify forwardlooking statements. The Company undertakes obligation update forwardlooking statements reflect subsequent occurring events circumstances, changes expectations, required law. Although Company believes expectations expressed forwardlooking statements reasonable, assure expectations turn correct, Company cautions investors actual results differ materially anticipated results encourages investors consider risk factors, including described Companys filings SEC, affect Companys future results. All forwardlooking statements attributable Company subsidiaries persons acting behalf expressly qualified entirety risk factors. The forwardlooking events discussed press release statements time time representatives, occur, actual events results differ materially subject risks, uncertainties, assumptions us. We obligated publicly update revise forwardlooking statement, result uncertainties assumptions, forwardlooking events discussed press release statements time time representatives occur.Company :Public Relations :Addentax Group Corp. Corp.Phone: 86 755 86961 405cyseah Relations :Sherry ZhengWeitian Group LLC17182137386shunyu.zheng original content: Addentax Group Corp.The press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionWFIE CareersAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, .
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"reader", "aim", "unlock", "new", "opportunities", "enhance", "capabilities", "ai", "project", "utilization", "ai", "algorithms", "gw", "readers", "core", "expertise", "lies", "online", "content", "industry", "ai", "algorithms", "potential", "transform", "aspects", "addentaxs", "operations", "utilizing", "gw", "readers", "ai", "algorithms", "addentax", "streamline", "garment", "manufacturing", "processes", "algorithms", "optimize", "production", "planning", "improve", "quality", "control", "automate", "certain", "aspects", "manufacturing", "workflow", "result", "increased", "operational", "efficiency", "reduced", "production", "costs", "improved", "overall", "output", "gw", "readers", "ai", "algorithms", "leveraged", "optimize", "addentaxs", "logistics", "services", "algorithms", "enhance", "demand", "forecasting", "route", "optimization", "inventory", "management", "leading", "faster", "order", "processing", "improved", "supply", "chain", "efficiency", "reduced", "transportation", 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https://www.14news.com/prnewswire/2023/09/15/fujitsu-linux-foundation-launch-fujitsus-automated-machine-learning-ai-fairness-technologies-linux-foundation-hosted-open-source-projects/
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Fujitsu and the Linux Foundation launch Fujitsu's automated machine learning and AI fairness technologies as Linux Foundation hosted open source projects
Fujitsu and the Linux Foundation launch Fujitsu's automated machine learning and AI fairness technologies as Linux Foundation hosted open source projects Skip to contentBirthday ClubCream of the CropAsk the ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsSunrise ShoutoutNational NewsSpecial CoveragePeace of MindOn The FarmWeatherSportsAbout UsTVRiver City WeekendOn The FarmHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosPeace of MindWhat is the Peace of Mind Project?Click Here for ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsFootballViewer Photos & VideosScoresStats & PredictionsHow to WatchClosingsSign Up for Closings AccessClosings Admin LoginHealthCoronavirusCommunityOn The FarmCream of the CropAnti BullyingTri-State TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle - Country Music & LifestylePress ReleasesFujitsu and the Linux Foundation launch Fujitsu's automated machine learning and AI fairness technologies as Linux Foundation hosted open source projectsPublished: Sep. 14, 2023 at 8:00 PM CDT|Updated: 1 hour agoJapan's leading developer of new AI technologies Fujitsu accelerates its commitment to open source innovation with new projects hosted in LF AI & DataSAN FRANCISCO and TOKYO, Sept. 14, 2023 /PRNewswire/ -- Fujitsu Limited and the Linux Foundation today marked the official launch of Fujitsu's automated machine learning and AI fairness technologies as open source software (OSS) ahead of Open Source Summit Europe 2023, running in Bilbao, Spain, from September 19-21, 2023. The two projects will offer users access to software that automatically generates code for new machine learning models, as well as a technology that addresses latent biases in training data.The Linux Foundation logo(PRNewswire)Fujitsu accelerates its commitment to open source innovation with new projects hosted in LF AI & Data.The Linux Foundation approved the incubation of two new projects, "SapientML" and "Intersectional Fairness" on August 24 to encourage developers worldwide to further experiment and innovate with AI and machine learning technologies, with plans to host future activities like hackathons to engage and build a community to promote open source AI.With these projects, Fujitsu and the Linux Foundation aim to further democratize AI to realize a world in which developers everywhere can easily and securely use the latest technologies on open platforms to create new applications and find innovative solutions to challenges facing business and society."Offering AI technologies as OSS to developers worldwide opens up new opportunities for innovation across various industries by lowering the barrier of entry," said Vivek Mahajan, SEVP, CTO, CPO, Fujitsu Limited. "We are excited to work together with Linux Foundation to contribute to the further advancement and spread of AI by launching Fujitsu's AI technologies for the Linux Foundation's open source projects 'SapientML' and 'Intersectional Fairness.'""We anticipate that offering Fujitsu's automated machine learning and AI fairness technologies as OSS will greatly contribute to the advancement and diffusion of AI," said Jim Zemlin, Executive Director of The Linux Foundation. "The Linux Foundation welcomes these two projects and looks forward to building the future of AI together."Japan's leading AI developer demonstrates a commitment to open innovationFujitsu holds the largest number of AI-related inventions in Japan, with 970 patents from 2014 to October 2022, and in April 2023, launched "Fujitsu Kozuchi (code name) - Fujitsu AI Platform". Kozuchi enables users to rapidly and securely test advanced AI technologies and has offered a wide range of customers and partners access to some of Fujitsu's most advanced AI technologies.AI represents one of the most rapidly developing technologies of our time, contributing to the solution of various societal and industrial issues. However, this ongoing development requires advanced expertise in the development and operation of AI technologies, and concerns about the fairness of AI technology keep increasing. To enable further spread and enhancement of AI, a platform to openly share AI technologies with engineers worldwide represents an important prerequisite.Fujitsu is providing automated machine learning and AI fairness technologies as OSS via the Linux Foundation, enabling developers around the world to access and widely use Fujitsu's technology at the source code level to accelerate technological advancement and the development of new applications, while also addressing concerns around fairness and transparency that remain a critical priority in the field of AI ethics.About the two AI projectsSapientML focuses on developing an Automated Machine Learning (AutoML) technology that produces code for rapidly building machine learning models using tabular data. It empowers data scientists to create precise and interpretable AI models swiftly. With this innovation, data scientists can instantly generate highly accurate models and fine-tune them for improved performance using the generated code, streamlining the model development process.The Intersectional Fairness project addresses the issue of fairness in AI by targeting the detection and mitigation of biases that may not be readily apparent. It focuses on combatting discrimination against particular groups resulting from biased training data. The project's primary goal is to create an AI fairness technology capable of identifying and mitigating "intersectional biases," which arise when multiple attributes, such as age, gender, and nationality, interact in complex ways, often overlooked in AI systems. For example: imagine a group where the pass rate of young women in an exam is only 33.3%, a significantly lower rate than the rest of the group; this bias, pass rate difference, becomes apparent only when the combination of attributes for investigating the rate is considered; AI fairness technology aims to mitigate such biases while maintaining sufficient accuracy by using a method that adjusts the bias for each group and determines the acceptance line for readjusting the bias from the perspective of the whole.Fujitsu has been further providing its technologies for automated machine learning and AI fairness as "Fujitsu AutoML" and "Fujitsu AI Ethics for Fairness," together with various AI technologies and GUIs via the "Fujitsu Kozuchi (code name) - Fujitsu AI Platform." Moving forward, Fujitsu will offer technology updates for each project on its AI platform.Related LinksThe Linux Foundation AI & Data Projects: https://lfaidata.foundation/projects/"Fujitsu launches AI platform "Fujitsu Kozuchi," streamlining access to AI and ML solutions to contribute to a sustainable society" (press release, April 20, 2023: https://www.fujitsu.com/global/about/resources/news/press-releases/2023/0420-02.html)About FujitsuFujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.7 trillion yen (US$28 billion) for the fiscal year ended March 31, 2023 and remains the top digital services company in Japan by market share. Find out more: www.fujitsu.com.About The Linux FoundationThe Linux Foundation is the world's leading home for collaboration on open source software, hardware, standards, and data. Linux Foundation projects are critical to the world's infrastructure including Linux, Kubernetes, Node.js, ONAP, PyTorch, RISC-V, SPDX, OpenChain, and more. The Linux Foundation focuses on leveraging best practices and addressing the needs of contributors, users, and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org. The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see its trademark usage page: www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.Media ContactNoah LehmanThe Linux [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/fujitsu-and-the-linux-foundation-launch-fujitsus-automated-machine-learning-and-ai-fairness-technologies-as-linux-foundation-hosted-open-source-projects-301928582.htmlSOURCE The Linux FoundationThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionWFIE CareersAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
Fujitsu and the Linux Foundation launch Fujitsu's automated machine learning and AI fairness technologies as Linux Foundation hosted open source projects
Fujitsu Linux Foundation launch Fujitsus automated machine learning AI fairness technologies Linux Foundation hosted open source projects Skip contentBirthday ClubCream CropAsk ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsSunrise ShoutoutNational NewsSpecial CoveragePeace MindOn The FarmWeatherSportsTVRiver City WeekendOn The FarmHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosPeace MindWhat Peace Mind Project?Click Here ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsFootballViewer Photos VideosScoresStats PredictionsHow WatchClosingsSign Up Closings AccessClosings Admin HealthCoronavirusCommunityOn The FarmCream CropAnti BullyingTriState TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle Country Music LifestylePress ReleasesFujitsu Linux Foundation launch Fujitsus automated machine learning AI fairness technologies Linux Foundation hosted open source projectsPublished: Sep. 14, 2023 8:00 PM CDTUpdated: 1 hour agoJapans leading developer new AI technologies Fujitsu accelerates commitment open source innovation new projects hosted LF AI DataSAN FRANCISCO TOKYO, Sept. 14, 2023 PRNewswire Fujitsu Limited Linux Foundation today marked official launch Fujitsus automated machine learning AI fairness technologies open source software OSS ahead Open Source Summit Europe 2023, running Bilbao, Spain, September 1921, 2023. The projects offer users access software automatically generates code new machine learning models, technology addresses latent biases training data.The Linux Foundation logoPRNewswireFujitsu accelerates commitment open source innovation new projects hosted LF AI Data.The Linux Foundation approved incubation new projects, SapientML Intersectional Fairness August 24 encourage developers worldwide experiment innovate AI machine learning technologies, plans host future activities likehackathonsto engage build community promote open source AI.With projects, Fujitsu Linux Foundation aim democratize AI realize world developers easily securely use latest technologies open platforms create new applications innovative solutions challenges facing business society.Offering AI technologies OSS developers worldwide opens new opportunities innovation industries lowering barrier entry, said Vivek Mahajan, SEVP, CTO, CPO, Fujitsu Limited. We excited work Linux Foundation contribute advancement spread AI launching Fujitsus AI technologies Linux Foundations open source projects SapientML Intersectional Fairness.We anticipate offering Fujitsus automated machine learning AI fairness technologies OSS greatly contribute advancement diffusion AI, said Jim Zemlin, Executive Director The Linux Foundation. The Linux Foundation welcomes projects looks forward building future AI together.Japans leading AI developer demonstrates commitment open innovationFujitsu holds largest number AIrelated inventions Japan, 970 patents 2014 October 2022, April 2023, launched Fujitsu Kozuchi code Fujitsu AI Platform. Kozuchi enables users rapidly securely test advanced AI technologies offered wide range customers partners access Fujitsus advanced AI technologies.AI represents rapidly developing technologies time, contributing solution societal industrial issues. However, ongoing development requires advanced expertise development operation AI technologies, concerns fairness AI technology increasing. To enable spread enhancement AI, platform openly share AI technologies engineers worldwide represents important prerequisite.Fujitsu providing automated machine learning AI fairness technologies OSS Linux Foundation, enabling developers world access widely use Fujitsus technology source code level accelerate technological advancement development new applications, addressing concerns fairness transparency remain critical priority field AI ethics.About AI projectsSapientML focuses developing Automated Machine Learning AutoML technology produces code rapidly building machine learning models tabular data. It empowers data scientists create precise interpretable AI models swiftly. With innovation, data scientists instantly generate highly accurate models finetune improved performance generated code, streamlining model development process.TheIntersectional Fairness project addresses issue fairness AI targeting detection mitigation biases readily apparent. It focuses combatting discrimination particular groups resulting biased training data. The projects primary goal create AI fairness technology capable identifying mitigating intersectional biases, arise multiple attributes, age, gender, nationality, interact complex ways, overlooked AI systems. For example: imagine group pass rate young women exam 33.3, significantly lower rate rest group; bias, pass rate difference, apparent combination attributes investigating rate considered; AI fairness technology aims mitigate biases maintaining sufficient accuracy method adjusts bias group determines acceptance line readjusting bias perspective whole.Fujitsu providing technologies automated machine learning AI fairness Fujitsu AutoML Fujitsu AI Ethics Fairness, AI technologies GUIs Fujitsu Kozuchi code Fujitsu AI Platform. Moving forward, Fujitsu offer technology updates project AI platform.Related LinksThe Linux Foundation AI Data Projects: launches AI platform Fujitsu Kozuchi, streamlining access AI ML solutions contribute sustainable society press release, April 20, 2023: FujitsuFujitsus purpose world sustainable building trust society innovation. As digital transformation partner choice customers 100 countries, 124,000 employees work resolve greatest challenges facing humanity. Our range services solutions draw key technologies: Computing, Networks, AI, Data Security, Converging Technologies, bring deliver sustainability transformation. Fujitsu Limited TSE:6702 reported consolidated revenues 3.7 trillion yen US28 billion fiscal year ended March 31, 2023 remains digital services company Japan market share. Find more: The Linux FoundationThe Linux Foundation worlds leading home collaboration open source software, hardware, standards, data. Linux Foundation projects critical worlds infrastructure including Linux, Kubernetes, Node.js, ONAP, PyTorch, RISCV, SPDX, OpenChain, more. The Linux Foundation focuses leveraging best practices addressing needs contributors, users, solution providers create sustainable models open collaboration. For information, visit . The Linux Foundation registered trademarks uses trademarks.For list trademarks The Linux Foundation, trademark usage : Linux registered trademark LinusTorvalds.Media Noah LehmanThe Linux Foundationnlehman original content download multimedia: The Linux FoundationThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionWFIE CareersAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, .
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https://www.14news.com/prnewswire/2023/10/10/concertais-terarecon-expands-its-clinical-ai-offering-cardiac-care-with-feops-heartguide-digital-twin-solution/
2023-10-10T00:00:00
en
ConcertAI's TeraRecon Expands its Clinical AI Offering in Cardiac Care with FEops' HEARTguide Digital Twin Solution
ConcertAI's TeraRecon Expands its Clinical AI Offering in Cardiac Care with FEops' HEARTguide Digital Twin Solution Skip to contentBirthday ClubCream of the CropAsk the ExpertPenguin Cam14 Job LinkRiver City WeekendOne Tank TripNewsElectionsNational NewsSpecial CoveragePeace of MindOn The FarmWeatherSportsAbout UsTVRiver City WeekendOn The FarmHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosPeace of MindWhat is the Peace of Mind Project?Click Here for ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsFootballViewer Photos & VideosScoresStats & PredictionsHow to WatchClosingsSign Up for Closings AccessClosings Admin LoginHealthCoronavirusCommunityOn The FarmCream of the CropAnti BullyingTri-State TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle - Country Music & LifestylePress ReleasesConcertAI's TeraRecon Expands its Clinical AI Offering in Cardiac Care with FEops' HEARTguide Digital Twin SolutionPublished: Oct. 10, 2023 at 5:30 AM CDT|Updated: 39 minutes agoCAMBRIDGE, Mass., Oct. 10, 2023 /PRNewswire/ -- Concert AI's TeraRecon, the advanced visualization and clinical AI SaaS company, announces the addition of FEops as the latest Clinical AI solution to support structural heart planning procedures for Left Atrial Appendage (LAA) occlusion. This collaboration sees the integration of FEops' state-of-the-art FEops HEARTguide™ solution, underscoring both companies' commitment to improving patient outcomes through leading clinical AI technologies."The addition of FEops HEARTguide enhances TeraRecon's comprehensive offerings, particularly in cardiology and cardiovascular care," said Dan McSweeney, President of TeraRecon. "With the addition of FEops' advanced Digital Twin Clinical AI solution into TeraRecon solutions, we are poised to provide clinicians with an unparalleled tool streamlining CT-based pre-treatment planning for structural heart interventions, leading to more informed decision-making."FEops HEARTguide is a unique cloud-based procedure planning solution in the structural heart, based on Digital Twin technologies. With the U.S. introduction for the LAA occlusion workflow, FEops HEARTguide enables U.S. physicians to virtually model different implant positions and sizes of FDA approved LAA devices, aiding physicians in the selection of the optimal size and position for a specific patient. Established clinical evidence from the randomized controlled PREDICT-LAA trial has shown that FEops' digital twin-based planning for LAA closure results in improved procedure efficiency and outcomes as compared to standard CT based planning."We are thrilled to join forces with TeraRecon to integrate our FEops HEARTguide solution into TeraRecon's software," said Matthieu De Beule, CEO of FEops. "This collaboration is a testament to our shared vision of leveraging technology to transform healthcare. By bringing FEops HEARTguide's advanced capabilities to TeraRecon's platform, we aim to equip clinicians with a tool that empowers them to provide optimized care to patients with cardiovascular conditions."The TeraRecon FEops collaboration represents a significant stride towards personalized and data-driven cardiac care. The fusion of TeraRecon's solutions and FEops' HEARTguide solution exemplifies the potential of both Digital Twin technologies and Clinical AI to reshape the future of medical diagnosis and treatment planning.About TeraRecon: Serving approximately 1,900 clinical sites globally, TeraRecon, a ConcertAI company, is a Best in KLAS solution provider for AI-empowered radiology, oncology, cardiology, neurology, and vascular surgery. Awarded the 2020, 2021, and 2022 KLAS Category Leader for Advanced Visualization, TeraRecon solutions are independent of any one manufacturer's imaging equipment or PACS system, allowing a single, unified, and simplified clinical workflow that can improve efficiencies and deliver actionable physician-guided insights. For more information, visit us at www.terarecon.com About ConcertAI: ConcertAI is the leader in Real-World Evidence (RWE) and AI technology solutions for life sciences and health care. Our mission is to accelerate insights and outcomes for patients through leading real-world data, AI technologies, and scientific expertise in partnership with the leading biomedical innovators, health care providers, and medical societies. For more information, visit us at http://www.concertai.com or follow us on LinkedIn.About FEops: Privately held FEops, headquartered in Gent, Belgium, is a digital health scale-up altering the course of heart disease by providing physicians with unique digital tools to treat the right patients with the right technology at the right time. FEops is supported by Valiance Advisors, Capricorn partners, PMV and the European Innovation Council (EIC). Connect with FEops at www.feops.com or on LinkedIn at www.linkedin.com/company/feops, or contact us via [email protected] Contact: Megan Duero, [email protected] original content:https://www.prnewswire.com/news-releases/concertais-terarecon-expands-its-clinical-ai-offering-in-cardiac-care-with-feops-heartguide-digital-twin-solution-301951188.htmlSOURCE ConcertAIThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionWFIE CareersAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
ConcertAI's TeraRecon Expands its Clinical AI Offering in Cardiac Care with FEops' HEARTguide Digital Twin Solution
ConcertAIs TeraRecon Expands Clinical AI Offering Cardiac Care FEops HEARTguide Digital Twin Solution Skip contentBirthday ClubCream CropAsk ExpertPenguin Cam14 Job LinkRiver City WeekendOne Tank TripNewsElectionsNational NewsSpecial CoveragePeace MindOn The FarmWeatherSportsTVRiver City WeekendOn The FarmHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosPeace MindWhat Peace Mind Project?Click Here ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsFootballViewer Photos VideosScoresStats PredictionsHow WatchClosingsSign Up Closings AccessClosings Admin HealthCoronavirusCommunityOn The FarmCream CropAnti BullyingTriState TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle Country Music LifestylePress ReleasesConcertAIs TeraRecon Expands Clinical AI Offering Cardiac Care FEops HEARTguide Digital Twin SolutionPublished: Oct. 10, 2023 5:30 AM CDTUpdated: 39 minutes agoCAMBRIDGE, Mass., Oct. 10, 2023 PRNewswire Concert AIs TeraRecon, advanced visualization clinical AI SaaS company, announces addition FEops latest Clinical AI solution support structural heart planning procedures Left Atrial Appendage LAA occlusion. This collaboration sees integration FEops stateoftheart FEops HEARTguide solution, underscoring companies commitment improving patient outcomes leading clinical AI technologies.The addition FEops HEARTguide enhances TeraRecons comprehensive offerings, particularly cardiology cardiovascular care, said Dan McSweeney, President TeraRecon. With addition FEops advanced Digital Twin Clinical AI solution TeraRecon solutions, poised provide clinicians unparalleled tool streamlining CTbased pretreatment planning structural heart interventions, leading informed decisionmaking.FEops HEARTguide unique cloudbased procedure planning solution structural heart, based Digital Twin technologies. With U.S. introduction LAA occlusion workflow, FEops HEARTguide enables U.S. physicians virtually model different implant positions sizes FDA approved LAA devices, aiding physicians selection optimal size position specific patient. Established clinical evidence randomized controlled PREDICTLAA trial shown FEops digital twinbased planning LAA closure results improved procedure efficiency outcomes compared standard CT based planning.We thrilled join forces TeraRecon integrate FEops HEARTguide solution TeraRecons software, said Matthieu De Beule, CEO FEops. This collaboration testament shared vision leveraging technology transform healthcare. By bringing FEops HEARTguides advanced capabilities TeraRecons platform, aim equip clinicians tool empowers provide optimized care patients cardiovascular conditions.The TeraRecon FEops collaboration represents significant stride personalized datadriven cardiac care. The fusion TeraRecons solutions FEops HEARTguide solution exemplifies potential Digital Twin technologies Clinical AI reshape future medical diagnosis treatment planning.About TeraRecon:Serving approximately 1,900 clinical sites globally, TeraRecon, ConcertAI company, Best KLAS solution provider AIempowered radiology, oncology, cardiology, neurology, vascular surgery. Awarded 2020, 2021, 2022 KLAS Category Leader Advanced Visualization, TeraRecon solutions independent manufacturers imaging equipment PACS system, allowing single, unified, simplified clinical workflow improve efficiencies deliver actionable physicianguided insights. For information, visit About ConcertAI:ConcertAI leader RealWorld Evidence RWE AI technology solutions life sciences health care. Our mission accelerate insights outcomes patients leading realworld data, AI technologies, scientific expertise partnership leading biomedical innovators, health care providers, medical societies. For information, visit follow onLinkedIn.About FEops: Privately held FEops, headquartered Gent, Belgium, digital health scaleup altering course heart disease providing physicians unique digital tools treat right patients right technology right time. FEops supported Valiance Advisors, Capricorn partners, PMV European Innovation Council EIC. Connect FEops LinkedIn contact info :Megan Duero, megan original content: ConcertAIThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionWFIE CareersAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, .
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"valiance", "advisors", "capricorn", "partners", "pmv", "european", "innovation", "council", "eic", "connect", "feops", "linkedin", "contact", "info", "megan", "duero", "megan", "original", "content", "concertaithe", "press", "release", "provided", "courtesy", "prnewswire", "views", "opinions", "statements", "press", "release", "endorsed", "gray", "media", "group", "necessarily", "state", "reflect", "gray", "media", "group", "uswfie", "mt", "auburn", "roadevansville", "public", "inspection", "filepublicfile", "fcc", "public", "file", "helpfcc", "applicationseeo", "captioningaudio", "descriptionwfie", "careersat", "gray", "journalists", "report", "write", "edit", "produce", "news", "content", "informs", "communities", "serve", "click", "learn", "approach", "artificial", "intelligence", "gray", "media", "group", "station", "gray", "television" ]
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https://www.4029tv.com/article/biden-meet-experts-on-ai-risks-opportunities/43504666
2023-04-04T00:00:00
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President Biden to meet with experts on AI 'risks and opportunities'
President Biden to meet with experts on AI 'risks and opportunities' Skip to content NOWCAST 40/29 News at 6:30am Weekday Morning Watch on Demand Menu Search Homepage Local News National News Reopening Schools Weather 4 Degree Guarantee Radar Alerts Closings Map Room Forecasting Our Future Traffic ulocal Sports Hog Wild Friday Frenzy Politics State of Addiction Matter of Fact Investigate News We Love Upload Charities in the Spotlight Pets on Set Skycams The Arkansas CW MeTV Arkansas Only in Arkansas On the Record Project CommUNITY News Team Contests Contact Advertise with 40/29TV Advertise with The Arkansas CW Privacy Notice Terms of Use  Weather Search Press enter to search Type to Search Search location by ZIP code ZIP Advertisement   President Biden to meet with experts on AI 'risks and opportunities' Share Copy Link Copy {copyShortcut} to copy Link copied! Updated: 6:32 AM CDT Apr 4, 2023 By ZEKE MILLER, AP White House Correspondent Carolyn Kaster President Joe Biden points as he stands at the top of the steps of Air Force One before boarding at Minneapolis−Saint Paul International Airport, Monday, April 3, 2023, in Minneapolis, en route to Washington. SOURCE: Carolyn Kaster GET OUR POLITICS NEWSLETTER Stay up to speed on all the latest local and national political news. Your Email AddressSubmit Privacy Notice Advertisement President Biden to meet with experts on AI 'risks and opportunities' Share Copy Link Copy {copyShortcut} to copy Link copied! Updated: 6:32 AM CDT Apr 4, 2023 By ZEKE MILLER, AP White House Correspondent President Joe Biden on Tuesday will meet with his council of advisers on science and technology about the “ risks and opportunities ” that rapid advancements in artificial intelligence development pose for individual users and national security.The White House said the Democratic president would use the AI meeting to “discuss the importance of protecting rights and safety to ensure responsible innovation and appropriate safeguards" and to reiterate his call for Congress to pass legislation to protect children and curtail data collection by technology companies.Artificial intelligence burst to the forefront in the national conversation after the release of the popular ChatGPT AI chatbot, which helped spark a race among tech giants to unveil similar tools, while raising ethical and societal concerns from the powerful technology.The council, known as PCAST, is composed of science, engineering, technology and medical experts and is co-chaired by the Cabinet-ranked director of the White House Office of Science and Technology Policy, Arati Prabhakar. WASHINGTON — President Joe Biden on Tuesday will meet with his council of advisers on science and technology about the “ risks and opportunities ” that rapid advancements in artificial intelligence development pose for individual users and national security.The White House said the Democratic president would use the AI meeting to “discuss the importance of protecting rights and safety to ensure responsible innovation and appropriate safeguards" and to reiterate his call for Congress to pass legislation to protect children and curtail data collection by technology companies. Advertisement Artificial intelligence burst to the forefront in the national conversation after the release of the popular ChatGPT AI chatbot, which helped spark a race among tech giants to unveil similar tools, while raising ethical and societal concerns from the powerful technology. The council, known as PCAST, is composed of science, engineering, technology and medical experts and is co-chaired by the Cabinet-ranked director of the White House Office of Science and Technology Policy, Arati Prabhakar. Microsoft is looking for ways to rein in Bing AI chatbot after troubling responses Good Housekeeping Shop the Best Deals We've Found on Amazon in March Before They're Gone What is Lululemon 'Like New'? Here's Everything to Shop From the Resale Section Amazon's Secret Sale Is Offering More than Half Off These Beloved Wireless Earbuds Martha Stewart Shares the Serum She Says Keeps Her Skin Looking "Really Good" at 81 Loading more articles... KHBS/KHOG FORT SMITH-FAYETTEVILLE Contact Us News Team Apps & Social Email Alerts Careers Internships Advertise with 40/29TV Advertise with The Arkansas CW Digital Advertising Terms & Conditions Broadcast Terms & Conditions RSS EEO Reports Captioning Contacts KHBS Public Inspection File KHOG Public Inspection File Public File Assistance FCC Applications News Policy Statements Hearst Television participates in various affiliate marketing programs, which means we may get paid commissions on editorially chosen products purchased through our links to retailer sites. ©2023, Arkansas Hearst Television Inc. on behalf of KHBS-TV. Privacy Notice Your California Privacy Rights Interest-Based Ads Terms of Use Site Map
President Biden to meet with experts on AI 'risks and opportunities'
President Biden meet experts AI risks opportunities Skip content NOWCAST 4029 News 6:30am Weekday Morning Watch Demand Menu Home Local News National News Reopening Schools Weather 4 Degree Guarantee Radar Alerts Closings Map Room Forecasting Our Future Traffic ulocal Sports Hog Wild Friday Frenzy Politics State Addiction Matter Fact Investigate News We Love Upload Charities Spotlight Pets Set Skycams The Arkansas CW MeTV Arkansas Only Arkansas On Record Project CommUNITY News Team Contests Advertise 4029TV Advertise The Arkansas CW Privacy Notice Terms Use Weather Press enter search Type location ZIP code ZIP Advertisement President Biden meet experts AI risks opportunities Share Copy Link Copy copyShortcut copy Link copied Updated: 6:32 AM CDT Apr 4, 2023 By ZEKE MILLER, AP White House Correspondent Carolyn Kaster President Joe Biden points stands steps Air Force One boarding MinneapolisSaint Paul International Airport, Monday, April 3, 2023, Minneapolis, en route Washington. SOURCE: Carolyn Kaster GET OUR POLITICS NEWSLETTER Stay speed latest local national political news. Your Email AddressSubmit Privacy Notice Advertisement President Biden meet experts AI risks opportunities Share Copy Link Copy copyShortcut copy Link copied Updated: 6:32 AM CDT Apr 4, 2023 By ZEKE MILLER, AP White House Correspondent President Joe Biden Tuesday meet council advisers science technology risks opportunities rapid advancements artificial intelligence development pose individual users national security.The White House said Democratic president use AI meeting discuss importance protecting rights safety ensure responsible innovation appropriate safeguards reiterate Congress pass legislation protect children curtail data collection technology companies.Artificial intelligence burst forefront national conversation release popular ChatGPT AI chatbot, helped spark race tech giants unveil similar tools, raising ethical societal concerns powerful technology.The council, known PCAST, composed science, engineering, technology medical experts cochaired Cabinetranked director White House Office Science Technology Policy, Arati Prabhakar. WASHINGTON President Joe Biden Tuesday meet council advisers science technology risks opportunities rapid advancements artificial intelligence development pose individual users national security.The White House said Democratic president use AI meeting discuss importance protecting rights safety ensure responsible innovation appropriate safeguards reiterate Congress pass legislation protect children curtail data collection technology companies. Advertisement Artificial intelligence burst forefront national conversation release popular ChatGPT AI chatbot, helped spark race tech giants unveil similar tools, raising ethical societal concerns powerful technology. The council, known PCAST, composed science, engineering, technology medical experts cochaired Cabinetranked director White House Office Science Technology Policy, Arati Prabhakar. Microsoft looking ways rein Bing AI chatbot troubling responses Good Housekeeping Shop Best Deals Weve Found Amazon March Before Theyre Gone What Lululemon Like New? Heres Everything Shop From Resale Section Amazons Secret Sale Is Offering More Half Off These Beloved Wireless Earbuds Martha Stewart Shares Serum She Says Keeps Her Skin Looking Really Good 81 Loading articles... KHBSKHOG FORT SMITHFAYETTEVILLE Us News Team Apps Social Email Alerts Careers Internships Advertise 4029TV Advertise The Arkansas CW Digital Advertising Terms Conditions Broadcast Terms Conditions RSS EEO Reports Captioning KHBS Public Inspection File KHOG Public Inspection File Public File Assistance FCC Applications News Policy Statements Hearst Television participates affiliate marketing programs, means paid commissions editorially chosen products purchased links retailer sites. 2023, Arkansas Hearst Television . behalf KHBSTV. Privacy Notice Your California Privacy Rights InterestBased Ads Terms Use Site Map
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https://www.8newsnow.com/news/business/ap-business/chatgpt-user-in-china-detained-for-creating-and-spreading-fake-news-police-say/
2023-05-11T00:00:00
en
ChatGPT user in China detained for creating and spreading fake news, police say | KLAS
ChatGPT user in China detained for creating and spreading fake news, police say | KLAS Skip to content KLAS Las Vegas 81° Sign Up Las Vegas 81° Sponsored By Toggle Menu Open Navigation Close Navigation Search Please enter a search term. Primary Menu Watch News Local News Crime National News Entertainment Politics Now Politics from The Hill Border Report Newsletters BestReviews Daily Deals BestReviews Press Releases Top Stories Evidence debate continues ahead of murder trial Video Top Stories DA explains why his office offered Ruggs a deal 51 mins ago Video Man accused of threatening to kill Las Vegas police 59 mins ago Moped rider injured in Historic Westside crash 60 mins ago ‘I’m staying here,’ Jara reiterates commitment to … 5 mins ago Video #8NN Investigators George Knapp David Charns Vanessa Murphy Kyle J. 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FILE – The OpenAI logo is seen on a mobile phone in front of a computer screen displaying the ChatGPT home screen, March 17, 2023, in Boston. Chinese police… Read More FILE – The OpenAI logo is seen on a mobile phone in front of a computer screen displaying the ChatGPT home screen, March 17, 2023, in Boston. Chinese police said they recently detained a ChatGPT user for allegedly using the AI-powered chatbot to create a fake news story about a nonexistent train crash. (AP Photo/Michael […] Read Less AP Business ChatGPT user in China detained for creating and spreading fake news, police say by: DAVID HAMILTON, Associated Press Posted: May 10, 2023 / 04:14 PM PDT Updated: May 10, 2023 / 04:14 PM PDT FILE – The OpenAI logo is seen on a mobile phone in front of a computer screen displaying the ChatGPT home screen, March 17, 2023, in Boston. Chinese police… Read More FILE – The OpenAI logo is seen on a mobile phone in front of a computer screen displaying the ChatGPT home screen, March 17, 2023, in Boston. Chinese police said they recently detained a ChatGPT user for allegedly using the AI-powered chatbot to create a fake news story about a nonexistent train crash. (AP Photo/Michael […]  Read Less by: DAVID HAMILTON, Associated Press Posted: May 10, 2023 / 04:14 PM PDT Updated: May 10, 2023 / 04:14 PM PDT SHARE SAN FRANCISCO (AP) — Chinese police said they recently detained a ChatGPT user for allegedly using the AI-powered chatbot to create a fake news story about a nonexistent train crash. It’s one of the first enforcement actions under a recently enacted Chinese law regulating AI-generated “deepfakes” — seemingly realistic but fabricated digital images, video or other media. According to a police report from the northwest Chinese province of Gansu, a man identified only by his surname, Hong, used ChatGPT to create a fake news article about a crash that supposedly led to the deaths of nine construction workers in Gansu. Twenty-one accounts on a popular social platform, all owned by a media company based in southern China, spread the fake story within a short period of time. Like most foreign websites and applications, ChatGPT is technically unavailable in China thanks to the country’s “Great Firewall,” which censors the internet for residents. But determined individuals can gain access via commonly available “virtual private network” software that bypasses the firewall. The police report did not describe how Hong managed to use ChatGPT. By the time Gansu security officials realized the article was fake, it had received 15,000 views, according to the report. Police subsequently raided Hong’s residence to collect evidence and then took “criminal coercive measures” against Hong himself. Police use that phrase to describe temporary measures to limit the freedom of a suspect. The new Chinese deepfake law took effect on Jan. 10. It bans several categories of fake media produced by “deep synthesis technologies” such as machine learning and virtual reality, but offers only vague definitions for many of these forbidden classes. According to a translation of the law provided by the crowdsourced site China Law Translate, it prohibits deepfakes used in activities that endanger national security, harm the nation’s image or societal public interest, or disturb “economic or social order.” It specifically prohibits the use of such technologies to produce, publish or transmit fake news. __ AP news assistant Caroline Chen in Beijing contributed to this report. Copyright 2023 The Associated Press. All rights reserved. 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ChatGPT user in China detained for creating and spreading fake news, police say
ChatGPT user China detained creating spreading fake news, police KLAS Skip content KLAS Las Vegas 81 Sign Up Las Vegas 81 Sponsored By Toggle Menu Open Navigation Close Navigation Please enter search term. Primary Menu Watch News Local News Crime National News Entertainment Politics Now Politics The Hill Border Report Newsletters BestReviews Daily Deals BestReviews Press Releases Top Stories Evidence debate continues ahead murder trial Video Top Stories DA explains office offered Ruggs deal 51 mins ago Video Man accused threatening kill Las Vegas police 59 mins ago Moped rider injured Historic Westside crash 60 mins ago Im staying here, Jara reiterates commitment 5 mins ago Video 8NN Investigators George Knapp David Charns Vanessa Murphy Kyle J. 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FILE The OpenAI logo seen mobile phone screen displaying ChatGPT home screen, March 17, 2023, Boston. Chinese police Read More FILE The OpenAI logo seen mobile phone screen displaying ChatGPT home screen, March 17, 2023, Boston. Chinese police said recently detained ChatGPT user allegedly AIpowered chatbot create fake news story nonexistent train crash. AP PhotoMichael []Read Less AP Business ChatGPT user China detained creating spreading fake news, police by: DAVID HAMILTON, Associated Press Posted: May 10, 2023 04:14 PM PDT Updated: May 10, 2023 04:14 PM PDT FILE The OpenAI logo seen mobile phone screen displaying ChatGPT home screen, March 17, 2023, Boston. Chinese police Read More FILE The OpenAI logo seen mobile phone screen displaying ChatGPT home screen, March 17, 2023, Boston. Chinese police said recently detained ChatGPT user allegedly AIpowered chatbot create fake news story nonexistent train crash. AP PhotoMichael [] Read Less by: DAVID HAMILTON, Associated Press Posted: May 10, 2023 04:14 PM PDT Updated: May 10, 2023 04:14 PM PDT SHARE SAN FRANCISCO AP Chinese police said recently detained ChatGPT user allegedly AIpowered chatbot create fake news story nonexistent train crash. Its enforcement actions recently enacted Chinese law regulating AIgenerated deepfakes seemingly realistic fabricated digital images, video media. According police report northwest Chinese province Gansu, man identified surname, Hong, ChatGPT create fake news article crash supposedly led deaths construction workers Gansu. Twentyone accounts popular social platform, owned media company based southern China, spread fake story short period time. Like foreign websites applications, ChatGPT technically unavailable China thanks countrys Great Firewall, censors internet residents. But determined individuals gain access commonly available virtual private network software bypasses firewall. The police report Hong managed use ChatGPT. By time Gansu security officials realized article fake, received 15,000 views, according report. Police subsequently raided Hongs residence collect evidence took criminal coercive measures Hong himself. Police use phrase temporary measures limit freedom suspect. The new Chinese deepfake law took effect Jan. 10. It bans categories fake media produced deep synthesis technologies machine learning virtual reality, offers vague definitions forbidden classes. According translation law provided crowdsourced site China Law Translate, prohibits deepfakes activities endanger national security, harm nations image societal public interest, disturb economic social order. It specifically prohibits use technologies produce, publish transmit fake news. __ AP news assistant Caroline Chen Beijing contributed report. 2023 The Associated Press. . This material published, broadcast, rewritten redistributed. 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1
4,150
https://www.9news.com.au/national/queensland-road-cameras-and-artificial-intelligence-ai-to-catch-seat-belt-mobile-phone-rule-breakers/d9968028-a315-43b0-998c-02cae4e08636
2021-10-26T00:00:00
en
Queensland news: New Artificial Intelligence tech primed to catch rule-breaking Queensland drivers
Queensland news: New Artificial Intelligence tech primed to catch rule-breaking Queensland driversNewsSportLifestyleEntertainmentWatch TVConnect with us Search NationalNSWVICQLDSAWAACTTASNTLatestLive news updatesCrimeTechnologyHealthMotoringTODAY IN HISTORYCoronavirusWorldAsiaEuropeNZUKUSAVideosLiveToday ShowCoronavirusExtrasOn 9NewsACACoronavirusExtras60 MinutesCoronavirusExtrasOn 9NewsPodcasts9News LunchSix Tackles with GusPoliticsEntertainmentEntertainment newsCelebrityMovie guideRoyal newsTV guideWeatherAdelaide weatherBrisbane weatherMelbourne weatherSydney weatherWild WeatherSportAFLCricketFootballLive scoresNRLFinanceBusiness newsFind and comparePersonal financeSmall businessAppApp StoreGoogle PlayMeet The TeamAbout 9NewsContact usMeet the teamPrivacyTerms of useYour location:SYDNEYSYDNEY, NSWPERTH, WAMELBOURNE, VICHOBART, TASBRISBANE, QLDDARWIN, NTADELAIDE, SACANBERRA, ACTYour web browser is no longer supported. To improve your experience update it hereNewsNationalNew AI tech primed to catch rule-breaking Queensland driversBy Mark Saunokonoko • Senior Journalist12:37pm Oct 26, 2021 Tweet Facebook Mail Queensland drivers who flout the rules, beware.Cameras armed with artificial intelligence (AI) software will soon be watching you 24/7 across the state, zeroing in on your seatbelt and checking if you're using a mobile phone.From November 1, a tough new camera regime targeting rule breakers will roll out in Queensland, slugging offenders with hefty fines up to $1000 and potential double demerit point punishments.READ MORE: 'No end in sight' for high petrol pricesDrivers will be fined if a passenger is not wearing a seatbelt. (Supplied / Queensland TMR)"Motorists can expect the cameras to be located anywhere, any time," a Transport and Main Roads (TMR) spokesperson told 9News.com.au.Portable and fixed mobile phone- and seatbelt-detection cameras will be deployed in urban and regional areas across the state.  The cameras take images of each vehicle travelling in the lane of traffic the camera is monitoring, including photographs inside the vehicle, mainly the front seats.And if you're doing something wrong, AI will catch you, the spokesperson warned.READ MORE: 'No end in sight' for high petrol pricesA woman with her strap under the arm would be ruled to be breaking seat belt laws. (Supplied / Queensland TMR)The AI software will detect if a driver is using their mobile phone illegally. (Supplied / Queensland TMR)The images will first be analysed by AI software, geared up to look for illegal use of mobile phones, and to check if people are not wearing a seatbelt or failing to wear one correctly.When a potential offence is detected, the image will be reviewed by an authorised TMR officer to make a final determination.In an effort to curb deaths and injuries on Queensland's roads, TMR will issue heavy penalties, including a fine of $1033 and four demerit points for illegal mobile phone use while driving, $413 and three demerit points for not wearing a seatbelt properly, and double demerit points for repeat offences in a 12-month period.Drivers will be hit with further fines and demerits for each front-seat passenger not properly restrained.If an offence is not detected, TMR will delete the images.READ MORE: The 'calculator' that says if you will catch COVID-19Last year, 276 people died on Queensland roads, up 57 from 2019. (Supplied / Queensland TMR)According to the latest government figures, 233 people have died on Queensland roads so far this year.What vehicles are allowed to travel in T3 lanes at any time?View GalleryLast year, there were 276 fatalities on Queensland roads, a rise of 57 from 2019.Continue readingroad safetyroad tollqueenslandBrisbaneGold CoastCairnsSunshine CoastFinesCamerasArtificial IntelligencepolicemotoringCONTACT USSend your photos, videos and stories to 9News [email protected] news: Ford's new ute is taking shape - drive.com.auTop StoriesQueen cancels appearance at COP26 after doctors' advicean hour agoIn PicturesQueen holds first virtual audience since hospital stayA Current AffairDeath of Sydney man puts alcohol home deliveries in spotlight Queensland man receives 'awake' brain surgery in state firstOnline Coupons and Best DealsWatch seasons 1-3 of Yellowstone now on Stan.Search properties in AUSLatest news, reviews and cars for saleNineSearchSearchCareersAdvertise with usHelpTerms of usePrivacy© 2021 Nine Digital Pty Ltd© 2021 Nine Digital Pty Ltd
Queensland news: New Artificial Intelligence tech primed to catch rule-breaking Queensland drivers
Queensland news: New Artificial Intelligence tech primed catch rulebreaking Queensland driversNewsSportLifestyleEntertainmentWatch TVConnect NationalNSWVICQLDSAWAACTTASNTLatestLive news updatesCrimeTechnologyHealthMotoringTODAY IN HISTORYCoronavirusWorldAsiaEuropeNZUKUSAVideosLiveToday ShowCoronavirusExtrasOn 9NewsACACoronavirusExtras60 MinutesCoronavirusExtrasOn 9NewsPodcasts9News LunchSix Tackles GusPoliticsEntertainmentEntertainment newsCelebrityMovie guideRoyal newsTV guideWeatherAdelaide weatherBrisbane weatherMelbourne weatherSydney weatherWild WeatherSportAFLCricketFootballLive scoresNRLFinanceBusiness newsFind comparePersonal financeSmall businessAppApp StoreGoogle PlayMeet The TeamAbout 9News usMeet teamPrivacyTerms useYour location:SYDNEYSYDNEY, NSWPERTH, WAMELBOURNE, VICHOBART, TASBRISBANE, QLDDARWIN, NTADELAIDE, SACANBERRA, ACTYour web browser longer supported. To improve experience update hereNewsNationalNew AI tech primed catch rulebreaking Queensland driversBy Mark Saunokonoko Senior Journalist12:37pm Oct 26, 2021 Tweet Facebook Mail Queensland drivers flout rules, beware.Cameras armed artificial intelligence AI software soon watching 247 state, zeroing seatbelt checking youre mobile phone.From November 1, tough new camera regime targeting rule breakers roll Queensland, slugging offenders hefty fines 1000 potential double demerit point punishments.READ MORE: No end sight high petrol pricesDrivers fined passenger wearing seatbelt. Supplied Queensland TMRMotorists expect cameras located anywhere, time, Transport Main Roads TMR spokesperson told .au.Portable fixed mobile phone seatbeltdetection cameras deployed urban regional areas state. The cameras images vehicle travelling lane traffic camera monitoring, including photographs inside vehicle, mainly seats.And youre wrong, AI catch you, spokesperson warned.READ MORE: No end sight high petrol pricesA woman strap arm ruled breaking seat belt laws. Supplied Queensland TMRThe AI software detect driver mobile phone illegally. Supplied Queensland TMRThe images analysed AI software, geared look illegal use mobile phones, check people wearing seatbelt failing wear correctly.When potential offence detected, image reviewed authorised TMR officer final determination.In effort curb deaths injuries Queenslands roads, TMR issue heavy penalties, including fine 1033 demerit points illegal mobile phone use driving, 413 demerit points wearing seatbelt properly, double demerit points repeat offences 12month period.Drivers hit fines demerits frontseat passenger properly restrained.If offence detected, TMR delete images.READ MORE: The calculator says catch COVID19Last year, 276 people died Queensland roads, 57 2019. Supplied Queensland TMRAccording latest government figures, 233 people died Queensland roads far year.What vehicles allowed travel T3 lanes time?View GalleryLast year, 276 fatalities Queensland roads, rise 57 2019.Continue readingroad safetyroad tollqueenslandBrisbaneGold CoastCairnsSunshine CoastFinesCamerasArtificial IntelligencepolicemotoringCONTACT USSend photos, videos stories 9News contact news:Fords new ute taking shape .auTop StoriesQueen cancels appearance COP26 doctors advicean hour agoIn PicturesQueen holds virtual audience hospital stayA Current AffairDeath Sydney man puts alcohol home deliveries spotlight Queensland man receives awake brain surgery state firstOnline Coupons Best DealsWatch seasons 13 Yellowstone Stan. properties AUSLatest news, reviews cars saleNineCareersAdvertise usHelpTerms usePrivacy 2021 Nine Digital Pty Ltd 2021 Nine Digital Pty Ltd
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4,151
https://www.abc.net.au/news/2023-06-04/marron-crayfish-produced-by-robots-and-artificial-intelligence/102417354
2023-06-03T00:00:00
en
Robots, artificial intelligence used to boost bush tucker's restaurant star — marron - ABC News
Robots, artificial intelligence used to boost bush tucker's restaurant star — marron - ABC NewsSkip to main contentABC News HomepageSearchLoadingMore from ABCMore from ABCClose menuABCiviewListenABC HomeNewsLocallisteniviewEverydayMoreEditorial PoliciesRead our editorial guiding principlesAccessibilityHelpContact UsAbout the ABCPrivacy PolicyTerms of Use© 2023 ABCJust InWatch LiveVoice ReferendumPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckCoronavirusOtherNews HomeABC News HomepageRobots, artificial intelligence used to boost bush tucker's restaurant star — marronShareRobots, artificial intelligence used to boost bush tucker's restaurant star — marronLandline / by Sean MurphyPosted 40m ago40 minutes agoSat 3 Jun 2023 at 9:37pmLoading...Help keep family & friends informed by sharing this articleabc.net.au/news/marron-crayfish-produced-by-robots-and-artificial-intelligence/102417354Link copiedCopy linkShareOne of Australia's most in-demand bush foods could be boosted by robotics and artificial intelligence. Key points:Two mechanical engineers hope to increase marron production from 60 to 500 tonnes a yearThey are trialling growing marron in modular indoor farming systems, using artificial intelligenceTheir company, Aquatic AI, is first focusing on sustainable feedWestern Australia's endemic marron, a large freshwater crayfish, is in high demand in fine-dining restaurants all over the world.But production has been capped unintentionally for more than a decade at around 60 tonnes a year.Robots raising marronMechanical engineers Andrew Walker and Michael Story hope they can grow production to around 500 tonnes a year with an intensive vertical farming system using robotics and AI.With a $400,000 Australian research and development grant they are trialling growing the crustaceans in small containers in a modular indoor farming system. This marron was grown naturally by the Blue Ridge brand, which is currently the industry's largest supplier of marron.(ABC Landline)"Having a marron in every tank is a bit more labour-intensive than the traditional systems, but they are also [grown] in a way that is way more automatable," Mr Story said."It's in a predictable box, the marron is going to be in a predictable spot, so robots come in really well into that equation." The AI-grown marron's growth rates and meat quality are comparable with conventionally farmed marron.(ABC Landline)Their company, Aquatic AI, is first focusing on marron biology and feed. Marron are detritivores, which means they eat rotting plant and animal matter in rivers and dams. The company has been trialling a range of fresh and pelletised rations."One of the big things we've known for a while is the interaction between what you put into the water, the feed and the water, and the environment itself," Mr Walker said."A big part of what feeds them in a pond is what's growing in the pond. So we're definitely looking at both what we're putting into a tank and then what happens within the tank after you put it in."Natural versus intensive indoor farmingThe reaction across the industry has been mixed.Peter McGinty, a partner in Blue Ridge, the state's biggest supplier of fresh marron, said the industry was keen to grow its market but not at the expense of marron's reputation as a naturally grown product. Peter McGinty produces about 2 tonnes a year in ponds filled with the pure waters of the Donnelly River in WA.(ABC Landline)"People these days really want to know the story behind their food," he said."They're not interested in robotic foods. They're not interested in sort of high-density growing or feedlot growing. It's all about being at one with nature and supplying a product that is pretty much grown in its natural environment."At Capel in the south west, Jordan Parker produces 6 to 8 tonnes of marron a year.With his business partner Scott Bell, they are investing $5 million in expanding their farm and building the state's first marron hatchery, a feed manufacturing plant, and a tourism retail outlet. Fresh marron is shipped to restaurants around the country and overseas.(ABC Landline)Mr Parker said the potential for robotics in the industry was exciting."It's great to see people in the industry pushing forward and trying to make radical innovations," he said."That's exactly what we need — to get it from a cottage industry to that really next level where we can satisfy those international markets and obviously the markets right here at our doorstep."At Sydney's three-hatted Quay restaurant, chef Peter Gilmore has had marron on the menu for more than 20 years. He said his fine-dining customers liked the provenance of a dish that was endemic and came from a beautiful natural environment. One of the marron dishes served up at Quay in Sydney.(ABC Landline)"For me, these things live in the freshwater, they live in the dams, they get to forage, they get to, you know, swim around in the mud and exercise," Mr Gilmore said.He said part of marron's appeal was that it was hard to get."If marron becomes so commercialised that you can buy them in the supermarket, they probably won't be on our menus." Chef Peter Gilmore will most likely take marron off the menu if it is more readily available.(ABC Landline)AI seafood productionAquatic AI is now seeking investors to step up its research, believing consumers will appreciate a cheaper, sustainably grown product."We actually have a lot more traceability than we do on a farm because we know where every single marron is at any single point in time," Mr Story said."So in some ways, we have more provenance of kind of ancestral lines and things like that." Michael Story says working with robotics is easy but the biological factors of growing marron are more tricky.(ABC Landline)Mr Walker said marron were vulnerable to predators and other larger marron in conventionally run farm dams. The company would have a good story for consumers by focusing on feed that was sustainable."We're trying to feed marron the most ethically sourced feed we can get and move away from serving up fishmeal and that sort of thing, which can be problematic in aquaculture in general," he said.He said the company hoped to lay the groundwork for robotics and AI to be used to grow other seafood species. The company has focused on feed and how to get the best growth rates from marron confined to small containers.(ABC Landline)"So potentially crabs, potentially abalone and things like that, obviously less so if you're talking about finfish or something that really needs to swim but anything where interaction with others can be problematic would be a good opportunity for us," Mr Walker said.Watch ABC TV's Landline at 12:30pm on Sunday or on ABC iview.Posted 40m ago40 minutes agoSat 3 Jun 2023 at 9:37pmShareCopy linkFacebookTwitterRelated StoriesFishers used to catch more than 100 tonnes of marron in these waterways each year. Now it's a fraction of thatInvestigation launched into bees 'falling from the sky' and thousands of dead crayfish at SA propertyRecord fine after more than 400 crayfish 'delicacies' seized in major illegal fishing sting More on:CapelCapel RiverFishFishing, AquacultureRoboticsUpper CapelTop StoriesHow spies used a shard of an exploded Nokia phone to expose the Bali bombers'A smorgasbord for the matron': Stolen Generations survivor reveals sexual abuse at Aboriginal girls homeIs Chinatown worth reviving? Or is it just a facade for tourists?Albanese visits Hanoi to highlight Australia's growing economic ties to VietnamOfficials announce end to rescue efforts at India's deadly rail accident Record-breaking numbers are searching for flatmates with older generations increasing the mostanalysisA woman was found dead in Sydney after a delayed response to triple-0 call, but she's not the only oneHawthorn coach Sam Mitchell says he 'feels for everyone' linked to racism sagaDavid Warner announces retirement plansThree Israeli soldiers, Egyptian officer killed in rare gun battle along Israel-Egypt borderJoe Biden signs bipartisan debt ceiling deal, ending month-long drama that unnerved finance marketsUS teens are grappling with 'persistent sadness'. Is controlling their social media the answer?China's 34th Tiananmen Square anniversary marked in private for activists in face of pressuresWagner chief says Kremlin factions are destroying the Russian state'It's a luxury': Navigating the guilt of 'me-time' spending in a cost-of-living crisisPopular Now1.analysisanalysis:A woman was found dead in Sydney after a delayed response to triple-0 call, but she's not the only one2.Is Chinatown worth reviving? Or is it just a facade for tourists?3.'A smorgasbord for the matron': Stolen Generations survivor reveals sexual abuse at Aboriginal girls home4.How spies used a shard of an exploded Nokia phone to expose the Bali bombers5.Wagner chief says Kremlin factions are destroying the Russian state6.It's a record Everest climbing season and rubbish is piling up Top StoriesHow spies used a shard of an exploded Nokia phone to expose the Bali bombers'A smorgasbord for the matron': Stolen Generations survivor reveals sexual abuse at Aboriginal girls homeIs Chinatown worth reviving? Or is it just a facade for tourists?Albanese visits Hanoi to highlight Australia's growing economic ties to VietnamOfficials announce end to rescue efforts at India's deadly rail accident Record-breaking numbers are searching for flatmates with older generations increasing the mostanalysisA woman was found dead in Sydney after a delayed response to triple-0 call, but she's not the only oneHawthorn coach Sam Mitchell says he 'feels for everyone' linked to racism sagaDavid Warner announces retirement plansJust InProperty prices rise in all Queensland regions, Gold and Sunshine coasts lead the way6m ago6 minutes agoSat 3 Jun 2023 at 10:11pmJoe Biden signs bipartisan debt ceiling deal, ending month-long drama that unnerved finance markets17m ago17 minutes agoSat 3 Jun 2023 at 10:00pmAt 81, pilot and doctor David Cooke still flies his own plane to treat patients and loves his job17m ago17 minutes agoSat 3 Jun 2023 at 9:59pmRobots and artificial intelligence could soon be rearing lucrative and highly sought after marron40m ago40 minutes agoSat 3 Jun 2023 at 9:37pmThe world is running out of treatments for deadly infections, but an ancient animal may hold the answer48m ago48 minutes agoSat 3 Jun 2023 at 9:29pmanalysisA woman was found dead in Sydney after a delayed response to triple-0 call, but she's not the only one51m ago51 minutes agoSat 3 Jun 2023 at 9:26pmMore Just InBack to topFooterABC News homepageMore From ABC NEWSWe acknowledge Aboriginal and Torres Strait Islander peoples as the First Australians and Traditional Custodians of the lands where we live, learn, and work.SectionsABC NEWSJust InWatch LiveVoice ReferendumPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckCoronavirusOtherNews in language中文Berita Bahasa IndonesiaTok PisinConnect with ABC NewsFacebookTwitterInstagramYouTubeApple NewsMore from ABC NewsContact ABC NEWSThis service may include material from Agence France-Presse (AFP), APTN, Reuters, AAP, CNN and the BBC World Service which is copyright and cannot be reproduced.AEST = Australian Eastern Standard Time which is 10 hours ahead of GMT (Greenwich Mean Time)Editorial PoliciesAccessibilityHelpContact UsAbout the ABCPrivacy PolicyTerms of Use© 2023 ABC
Robots, artificial intelligence used to boost bush tucker's restaurant star — marron
Robots, artificial intelligence boost bush tuckers restaurant star marron ABC NewsSkip main contentABC News HomeLoadingMore ABCMore ABCClose menuABCiviewListenABC HomeNewsLocallisteniviewEverydayMoreEditorial PoliciesRead editorial guiding principlesAccessibilityHelp UsAbout ABCTerms Use 2023 ABCJust InWatch LiveVoice ReferendumPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckCoronavirusOtherNews HomeABC News HomeRobots, artificial intelligence boost bush tuckers restaurant star marronShareRobots, artificial intelligence boost bush tuckers restaurant star marronLandline Sean MurphyPosted40m ago40 minutes agoSat 3 Jun 2023 9:37pmLoading...Help family friends informed sharing .aunewsmarroncrayfishproducedbyrobotsandartificialintelligence102417354Link copiedCopy linkShareOne Australias indemand bush foods boosted robotics artificial intelligence.Key points:Two mechanical engineers hope increase marron production 60 500 tonnes yearThey trialling growing marron modular indoor farming systems, artificial intelligenceTheir company, Aquatic AI, focusing sustainable feedWestern Australias endemic marron, large freshwater crayfish, high demand finedining restaurants world.But production capped unintentionally decade 60 tonnes year.Robots raising marronMechanical engineers Andrew Walker Michael Story hope grow production 500 tonnes year intensive vertical farming robotics AI.With 400,000 Australian research development grant aretrialling growing crustaceans small containers modular indoor farming system. This marron grown naturally Blue Ridge brand, currently industrys largest supplier marron.ABC LandlineHaving marron tank bit labourintensive traditional systems, [grown] way way automatable, Mr Story said.Its predictable box, marron going predictable spot, sorobots come equation. The AIgrown marrons growth rates meat quality comparable conventionally farmed marron.ABC LandlineTheir company, Aquatic AI, focusing marron biology feed. Marron detritivores, means eat rotting plant animal matter rivers dams. The company trialling range fresh pelletised rations.One big things weve known interaction water, feed water, environment itself, Mr Walker said.A big feeds pond whats growing pond. So definitely looking putting tank happens tank in.Natural versus intensive indoor farmingThe reaction industry mixed.Peter McGinty, partner Blue Ridge, states biggest supplier fresh marron, said industry keen grow market expense marrons reputation naturally grown product. Peter McGinty produces 2 tonnes year ponds filled pure waters Donnelly River WA.ABC LandlinePeople days want know story food, said.Theyre interested robotic foods. Theyre interested sort highdensity growing feedlot growing. Its nature supplying product pretty grown natural environment.At Capel south west, Jordan Parker produces 6 8 tonnes marron year.With business partner Scott Bell, areinvesting 5 million expanding farmand building states marron hatchery, feed manufacturing plant, tourism retail outlet. Fresh marron shipped restaurants country overseas.ABC LandlineMr Parker said potential robotics industry exciting.Its great people industry pushing forward trying radical innovations, said.Thats exactly need cottage industry level satisfy international markets obviously markets right doorstep.At Sydneys threehatted Quay restaurant, chef Peter Gilmore marron menu 20 years. He said finedining customers liked provenance dish endemic came beautiful natural environment. One marron dishes served Quay Sydney.ABC LandlineFor me, things live freshwater, live dams, forage, to, know, swim mud exercise, Mr Gilmore said.He said marrons appeal hard get.If marron commercialised thatyou buy supermarket, probably wont menus. Chef Peter Gilmore likely marron menu readily available.ABC LandlineAI seafood productionAquatic AI seeking investors step research, believing consumers appreciate cheaper, sustainably grown product.We actually lot traceability farm know single marron single point time, Mr Story said.So ways, provenance kind ancestral lines things like that. Michael Story says working robotics easy butthe biological factors growing marron aremore tricky.ABC LandlineMr Walker said marron vulnerable predators larger marron conventionally run farm dams. The company good story consumers focusing feed sustainable.Were trying feed marron ethically sourced feed away serving fishmeal sort thing, problematic aquaculture general, said.He said company hoped lay groundwork robotics AI grow seafood species. The company focused feed best growth rates marron confined small containers.ABC LandlineSo potentially crabs, potentially abalone things like that, obviously youre talking finfish needs swim interaction problematic good opportunity us, Mr Walker said.Watch ABC TVs Landline 12:30pm Sundayor onABC iview.Posted40m ago40 minutes agoSat 3 Jun 2023 9:37pmShareCopy linkFacebookTwitterRelated StoriesFishers catch 100 tonnes marron waterways year. Now fraction thatInvestigation launched bees falling sky thousands dead crayfish SA propertyRecord fine 400 crayfish delicacies seized major illegal fishing sting More on:CapelCapel RiverFishFishing, AquacultureRoboticsUpper CapelTop StoriesHow spies shard exploded Nokia phone expose Bali bombersA smorgasbord matron: Stolen Generations survivor reveals sexual abuse Aboriginal girls homeIs Chinatown worth reviving? Or facade tourists?Albanese visits Hanoi highlight Australias growing economic ties VietnamOfficials announce end rescue efforts Indias deadly rail accident Recordbreaking numbers searching flatmates older generations increasing mostanalysisA woman dead Sydney delayed response triple0 call, shes oneHawthorn coach Sam Mitchell says feels linked racism sagaDavid Warner announces retirement plansThree Israeli soldiers, Egyptian officer killed rare gun battle IsraelEgypt borderJoe Biden signs bipartisan debt ceiling deal, ending monthlong drama unnerved finance marketsUS teens grappling persistent sadness. Is controlling social media answer?Chinas 34th Tiananmen Square anniversary marked private activists face pressuresWagner chief says Kremlin factions destroying Russian stateIts luxury: Navigating guilt metime spending costofliving crisisPopular Now1.analysisanalysis:A woman dead Sydney delayed response triple0 call, shes one2.Is Chinatown worth reviving? Or facade tourists?3.A smorgasbord matron: Stolen Generations survivor reveals sexual abuse Aboriginal girls home4.How spies shard exploded Nokia phone expose Bali bombers5.Wagner chief says Kremlin factions destroying Russian state6.Its record Everest climbing season rubbish piling Top StoriesHow spies shard exploded Nokia phone expose Bali bombersA smorgasbord matron: Stolen Generations survivor reveals sexual abuse Aboriginal girls homeIs Chinatown worth reviving? Or facade tourists?Albanese visits Hanoi highlight Australias growing economic ties VietnamOfficials announce end rescue efforts Indias deadly rail accident Recordbreaking numbers searching flatmates older generations increasing mostanalysisA woman dead Sydney delayed response triple0 call, shes oneHawthorn coach Sam Mitchell says feels linked racism sagaDavid Warner announces retirement plansJust InProperty prices rise Queensland regions, Gold Sunshine coasts lead way6m ago6 minutes agoSat 3 Jun 2023 10:11pmJoe Biden signs bipartisan debt ceiling deal, ending monthlong drama unnerved finance markets17m ago17 minutes agoSat 3 Jun 2023 10:00pmAt 81, pilot doctor David Cooke flies plane treat patients loves job17m ago17 minutes agoSat 3 Jun 2023 9:59pmRobots artificial intelligence soon rearing lucrative highly sought marron40m ago40 minutes agoSat 3 Jun 2023 9:37pmThe world running treatments deadly infections, ancient animal hold answer48m ago48 minutes agoSat 3 Jun 2023 9:29pmanalysisA woman dead Sydney delayed response triple0 call, shes one51m ago51 minutes agoSat 3 Jun 2023 9:26pmMore Just InBack topFooterABC News homeMore From ABC NEWSWe acknowledge Aboriginal Torres Strait Islander peoples First Australians Traditional Custodians lands live, learn, work.SectionsABC NEWSJust InWatch LiveVoice ReferendumPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckCoronavirusOtherNews languageBerita Bahasa IndonesiaTok PisinConnect ABC NewsFacebookTwitterInstagramYouTubeApple NewsMore ABC News ABC NEWSThis service include material Agence FrancePresse AFP, APTN, Reuters, AAP, CNN BBC World Service copyright reproduced.AEST = Australian Eastern Standard Time 10 hours ahead GMT Greenwich Mean TimeEditorial PoliciesAccessibilityHelp UsAbout ABCTerms Use 2023 ABC
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https://www.abc.net.au/news/2023-10-11/esperance-author-fleur-mcdonald-says-ai-stole-books/102957346
2023-10-11T00:00:00
en
Esperance author Fleur McDonald says US database Books3 'stole' literature to build AI linguistic software - ABC News
Esperance author Fleur McDonald says US database Books3 'stole' literature to build AI linguistic software - ABC NewsSkip to main contentABC News HomepageSearchLoadingMore from ABCMore from ABCClose menuABCiviewListenABC HomeNewsLocallisteniviewEverydayMoreEditorial PoliciesRead our editorial guiding principlesAccessibilityHelpContact UsAbout the ABCPrivacy PolicyTerms of Use© 2023 ABCJust InWatch LiveVoice ReferendumPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckCoronavirusOtherNews HomeABC News HomepageEsperance author Fleur McDonald says US database Books3 'stole' literature to build AI linguistic softwareShareEsperance author Fleur McDonald says US database Books3 'stole' literature to build AI linguistic softwareABC Esperance / By Andrew ChoundingPosted 1h ago1 hours agoTue 10 Oct 2023 at 11:28pm Author Fleur McDonald says many of her books have been used without her consent to train AI.(Supplied: Dan Paris)Share this articleabc.net.au/news/esperance-author-fleur-mcdonald-says-ai-stole-books/102957346Link copiedCopy linkShareA prominent Australian novelist says writers face a "David and Goliath" battle to regain ownership of their work after thousands of books were "stolen" by a Silicon Valley-based AI aggregator. Key point:Fleur McDonald says she is one of many Australian authors whose work has been 'stolen' by a US tech companyExperts say Australian authors face an uphill battle to regain control of their intellectual propertyThe publishing industry says a lawsuit brought by authors in the US will help determine how Australia responds to copyright infringementsEsperance author Fleur McDonald has written 21 books that have gone on to sell more than 750,000 copies.But those decades of work were quickly nullified after she learned more than half of her books had been uploaded to an AI training program without her consent.The revelation came as a shock, but turned to anger when Ms McDonald realised the scale of the "theft"."It took a while for it to filter through to understand the ramifications of it," she said."I was just angry that it could happen, and then when I realised the extent of it, I was angry for a lot of the [other] authors." Fleur McDonald said the AI industry lacks transparency and believes all her books have been copied. (ABC Esperance: Andrew Chounding)The database in question, Books3, contains more than 180,000 works of literature, taken without permission, and used to develop AI linguistic software.Ms McDonald said 12 of her 21 books had been uploaded, but said it was likely her whole catalogue had been used."There's still quite a few websites out there — there's no transparency in all of this, so they haven't let people know what books they're using," she said."We suspect that the whole lot has been taken." Fleur McDonald say she was shocked and angered to discover her works had been used without her knowledge.(Supplied: New Frontier Publishing)Ms McDonald said the AI capture had become so pervasive, that she believed early transcripts of her next book due, for release at the end of October, may have already been ingested."I think AI is such a fast-evolving beast that we possibly didn't know what was coming," she said.Tech in new ethical territoryDozens of other top Australian authors including Tim Winton, Miles Franklin and Jane Harper have also been swept up in the Silicon Valley-based scandal, raising questions about the ethics of AI companies and the people who run them.RMIT Professor of Information Sciences Lisa Given said the rapid development in AI had exposed long over-looked ethical shortfalls within the industry."The computing world, traditionally, has not had a history necessarily of training its scientists around ethical practices — I think they now have some new territory," she said."I don't believe that these creators are Machiavellian or that they're setting out to do harm."But, once you move that approach into society at large, you are going to have people that use those systems, not with social good at the front of their minds." RMIT Professor Lisa Given says AI is facing an ethical turning point.(Supplied: RMIT)Professor Given said authors seeking remuneration or to stop tech giants using their work faced an uphill battle."The genies out of the bottle, as they say — it's very challenging when things are already being used, and people start to get creative about what those outputs can be," she said."Unfortunately, there's often a huge drive in human nature towards, at least in our current situation, people wanting to make money, they want to create products."Sometimes they're happy to turn a blind eye to who might be hurt in the process or for constraints and controls to be put in place."The widespread co-opting of copyrighted work has been complicated, with Australian copyright laws unenforceable in other countries like the US.Australian authors 'furious' their books used to train generative AITech giants have been accused of "system theft" by authors whose work has been used to train generative AI.Read moreBooks3 creator Shaun Presser told The Atlantic he developed the dataset as a training resource for other developers to compete with tech giants such as OpenAI.OpenAI, the developer of ChatGPT, is believed to have trained the AI system using two mystery datasets known as Books1 and Books2.Federal Arts Minister Tony Burke was contacted and asked how the government would help authors caught up in the scandal, but did not respond.US lawsuit to set precedentAustralian Publishers Association policy and government relations manager Stuart Glover said the international nature of the dispute meant there were few channels available to those seeking reparation.How will AI change our understanding of art?Read more"What Australian publishers face in terms of Australian-authored books, and also in terms of international-authored books that have been published in Australian editions in Australia, is a kind of jurisdictional problem about how to take action," Dr Glover said."Some AI machine operators are saying there hasn't been any illegal copying of material, so there's a contestation of the claim that there's been a copyright breach."He said lawsuits being brought against AI and tech companies in the US by American authors would test the limits of what protections were available, and that could be done for authors closer to home."The outcomes of those suits will go a long way to determining what the next steps are and, for example, what the industry and authors might be able to do here, and what actions might be appropriate for government to take," he said.Posted 1h ago1 hours agoTue 10 Oct 2023 at 11:28pmShareCopy linkFacebookTwitterRelated Stories'Outright theft': Furious Australian authors caught up in literary AI scandalA good ghostwriter leaves no trace: Who really wrote your favourite celebrity memoirMore on:Artificial IntelligenceBooks (Literature)Copyright InfringementCrimeEsperanceInformation Technology IndustryInternational LawTop StoriesA hidden timestamp on a 'menacing' Neo-Nazi video aimed at Lidia Thorpe indicates who the likely architects areAustralian grandmother Galit Carbone confirmed killed in Israel'Amazing talent': Comedy world pays tribute to Cal Wilson after death at 53Adi was dancing in the desert with friends. When Hamas advanced, she made one phone callliveBiden calls Hamas attack 'sheer evil', as death tolls rise in Israel and GazaQantas chairman Richard Goyder to stand down in next 12 months, as the airline tries to rebuild its reputationHave you heard the chant 'sovereignty never ceded'? Do you know what it means? live'Shocked': Linda Burney calls for Peter Dutton to apologise over Yunupiŋu commentsWhat is the Voice to Parliament? 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When Hamas advanced, she made one phone call4.livelive:'Shocked': Linda Burney calls for Peter Dutton to apologise over Yunupiŋu comments5.Australian grandmother Galit Carbone confirmed killed in Israel6.Have you heard the chant 'sovereignty never ceded'? Do you know what it means? Top StoriesA hidden timestamp on a 'menacing' Neo-Nazi video aimed at Lidia Thorpe indicates who the likely architects areAustralian grandmother Galit Carbone confirmed killed in Israel'Amazing talent': Comedy world pays tribute to Cal Wilson after death at 53Adi was dancing in the desert with friends. 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Esperance author Fleur McDonald says US database Books3 'stole' literature to build AI linguistic software
Esperance author Fleur McDonald says US database Books3 stole literature build AI linguistic software ABC NewsSkip main contentABC News HomeLoadingMore ABCMore ABCClose menuABCiviewListenABC HomeNewsLocallisteniviewEverydayMoreEditorial PoliciesRead editorial guiding principlesAccessibilityHelp UsAbout ABCTerms Use 2023 ABCJust InWatch LiveVoice ReferendumPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckCoronavirusOtherNews HomeABC News HomeEsperance author Fleur McDonald says US database Books3 stole literature build AI linguistic softwareShareEsperance author Fleur McDonald says US database Books3 stole literature build AI linguistic softwareABC Esperance By Andrew ChoundingPosted1h ago1 hours agoTue 10 Oct 2023 11:28pm Author Fleur McDonald says manyof books consentto train AI.Supplied: Dan ParisShare .aunewsesperanceauthorfleurmcdonaldsaysaistolebooks102957346Link copiedCopy linkShareA prominent Australian novelist says writers face David Goliath battle regain ownership work thousands books stolen Silicon Valleybased AI aggregator.Key point:Fleur McDonald says Australian authors whosework stolen US tech companyExperts Australian authors face uphill battle regain control intellectual propertyThe publishing industry says lawsuit brought authors US help determinehow Australia responds copyright infringementsEsperanceauthor Fleur McDonald written 21 books gone sell 750,000 copies.But decades work quickly nullified learned halfof books uploaded AI training program consent.The revelation came shock, turned anger Ms McDonald realised scale theft.It took filter understand ramifications it, said.I angry happen, I realised extent it, I angry lot [other] authors. Fleur McDonald said AI industry lacks transparency believes books copied.ABC Esperance: Andrew ChoundingThe database question, Books3, contains than180,000 works literature, taken permission, develop AI linguistic software.Ms McDonald said 12 21 books uploaded, said likely catalogue used.Theres websites theres transparency this, havent let people know books theyre using, said.We suspect lot taken. Fleur McDonald shocked angered todiscoverher works knowledge.Supplied: New Frontier PublishingMs McDonald said AI capture pervasive, believed early transcripts book due, release end October, ingested.I think AI fastevolving beast possibly didnt know coming, said.Tech new ethical territoryDozens Australian authors including Tim Winton, Miles Franklin Jane Harper swept Silicon Valleybased scandal, raising questions ethics AI companies people run them.RMIT Professor Information Sciences Lisa Given said rapid development AI hadexposed long overlooked ethical shortfalls industry.The computing world, traditionally, history necessarily training scientists ethical practices I think new territory, said.I dont believe creators Machiavellian theyre setting harm.But, approach society large, going people use systems, social good minds. RMIT Professor Lisa Given saysAI facing ethical turning point.Supplied: RMITProfessor Given said authors seeking remuneration tostop tech giants work faced uphill battle.The genies bottle, challenging things used, people start creative outputs be, said.Unfortunately, theres huge drive human nature towards, current situation, people wanting money, want create products.Sometimes theyre happy turn blind eye hurt process constraints controls place.The widespread coopting copyrighted work complicated, Australian copyright laws unenforceable countries like US.Australian authors furious books train generative AITech giants accused theft authors work train generative AI.Read moreBooks3 creatorShaun Pressertold The Atlantic developed dataset training resource developers compete tech giants OpenAI.OpenAI, developer ChatGPT, believed trained AI mystery datasets known Books1 Books2.Federal Arts Minister Tony Burke contacted asked government help authors caught scandal, respond.US lawsuit set precedentAustralian Publishers Association policy government relations manager Stuart Glover saidthe international nature dispute meantthere channels available seeking reparation.How AI change understanding art?Read moreWhat Australian publishers face terms Australianauthored books, terms internationalauthored books published Australian editions Australia, kind jurisdictional problem action, Dr Gloversaid.Some AI machine operators saying illegal copying material, theres contestation claim theres copyright breach.He said lawsuits brought AI tech companies US American authors wouldtest limits protections available, couldbe authors closer home.The outcomes suits long way determining steps and, example, industry authors able here, actions appropriate government take, said.Posted1h ago1 hours agoTue 10 Oct 2023 11:28pmShareCopy linkFacebookTwitterRelated StoriesOutright theft: Furious Australian authors caught literary AI scandalA good ghostwriter leaves trace: Who wrote favourite celebrity memoirMore on:Artificial IntelligenceBooks Literature InfringementCrimeEsperanceInformation Technology IndustryInternational LawTop StoriesA hidden timestamp menacing NeoNazi video aimed Lidia Thorpe indicates likely architects areAustralian grandmother Galit Carbone confirmed killed IsraelAmazing talent: Comedy world pays tribute Cal Wilson death 53Adi dancing desert friends. When Hamas advanced, phone callliveBiden calls Hamas attack sheer evil, death tolls rise Israel GazaQantas chairman Richard Goyder stand 12 months, airline tries rebuild reputationHave heard chant sovereignty ceded? Do know means? liveShocked: Linda Burney calls Peter Dutton apologise Yunupiu commentsWhat Voice Parliament? Your common questions answered 150 words lessAll options consideration Australians Israel, amid calls repatriation flightsA look politically controversial moments Sydney Opera House litupliveQantas board set shakeup Richard Goyder latest highprofile exit, ASX rises fifth straight dayliveSwans face stalemate bigname trades, Freo play hard ball wantaway gun forwardIts novel: Could portable charger solar panels solve range anxiety outback?Israel destroys Gaza neighbourhoods defence minister tells forces offensive intensifyPopular Now1.Amazing talent: Comedy world pays tribute Cal Wilson death 532.A hidden timestamp menacing NeoNazi video aimed Lidia Thorpe indicates likely architects are3.Adi dancing desert friends. When Hamas advanced, phone call4.livelive:Shocked: Linda Burney calls Peter Dutton apologise Yunupiu comments5.Australian grandmother Galit Carbone confirmed killed Israel6.Have heard chant sovereignty ceded? Do know means? Top StoriesA hidden timestamp menacing NeoNazi video aimed Lidia Thorpe indicates likely architects areAustralian grandmother Galit Carbone confirmed killed IsraelAmazing talent: Comedy world pays tribute Cal Wilson death 53Adi dancing desert friends. When Hamas advanced, phone callliveBiden calls Hamas attack sheer evil, death tolls rise Israel GazaJust InFlights suspended breaks out, causes car park collapse Londons Luton Airport11m ago11 minutes agoWed 11 Oct 2023 12:48amHolly Willoughby quits This Morning amid kidnap murder allegations16m ago16 minutes agoWed 11 Oct 2023 12:43amMajor blow Titans Gold Coast high school famous churning NRL superstars links NSW team27m ago27 minutes agoWed 11 Oct 2023 12:33amRural brigades boss hoses talk national firefighting force48m ago48 minutes agoWed 11 Oct 2023 12:11amMore Just InBack topFooterABC News homeMore From ABC NEWSWe acknowledge Aboriginal Torres Strait Islander peoples First Australians Traditional Custodians lands live, learn, work.SectionsABC NEWSJust InWatch LiveVoice ReferendumPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckCoronavirusOtherNews languageBerita Bahasa IndonesiaTok PisinConnect ABC NewsFacebookTwitterInstagramYouTubeApple NewsMore ABC News ABC NEWSThis service include material Agence FrancePresse AFP, APTN, Reuters, AAP, CNN BBC World Service copyright reproduced.AEST = Australian Eastern Standard Time 10 hours ahead GMT Greenwich Mean TimeEditorial PoliciesAccessibilityHelp UsAbout ABCTerms Use 2023 ABC
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https://www.actionnews5.com/prnewswire/2021/11/19/halvik-corp-awarded-multi-year-contract-support-dod-joint-artificial-intelligence-center/
2021-11-19T00:00:00
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Halvik Corp awarded multi-year contract to support DoD Joint Artificial Intelligence Center
Halvik Corp awarded multi-year contract to support DoD Joint Artificial Intelligence Center Skip to contentAdvertise with UsContestsOpryland GiveawayWendy’s Giant of the WeekChick-fil-A Community ChampionsConway CaresMid-South HeroesWatch LiveLatest VideoNewsWeatherBack to SchoolGreat Health DivideCoronavirusShare Your PicsSearchHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalI-40 Bridge ShutdownEducationBack to SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging the Great Health DivideCommunityMid-South HeroesSportsOlympicsGrizzliesCollege FootballCollege BasketballFriday Football FeverTrafficGas PricesProgrammingScheduleBluff City LifeAbout UsMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationCircle - Country Music & LifestyleFull Court Press with Greta Van SusterenInvestigate TVGray DC BureauPress ReleasesHalvik Corp awarded multi-year contract to support DoD Joint Artificial Intelligence CenterPublished: Nov. 19, 2021 at 6:00 AM CST|Updated: 23 minutes agoVIENNA, Va., Nov. 19, 2021 /PRNewswire/ -- Halvik Corp, a leader in technology, engineering, and professional services for the US Federal market has been awarded a new, three-year contract estimated at $14.6 million by the Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). Through this contract, Halvik will support the JAIC in its mission to transform the DoD by accelerating the delivery and adoption of Artificial Intelligence (AI), Machine Learning, and Robotic Process Automation (RPA) solutions to achieve mission impact at scale."Halvik recognizes AI's potential to alter all facets of the battlefield, including the back office," said Jason Engleka, AI and Data Analytics Practice Lead at Halvik. "We are honored to support the JAIC mission and committed to bringing innovative solutions to the DoD.""Consistent with the JAIC's mission to scale its impact across the DoD, this work will further extend Halvik's service to customers throughout our nation's military, deepening our engagements by delivering high-value, mission-prioritized results," said Pete Santighian, Halvik's Senior Vice President for Defense and National Security."This contract award provides clear recognition of Halvik's strategic investment in leading-edge technology solutions, industry expertise, and establishment of our Artificial Intelligence and Data Analytics Practice," said Madhavi Bathula, CEO of Halvik.About Halvik:Halvik is an award-winning company providing full end-to-end software and management solutions: architecture/design, development/testing, and operations and maintenance. Since our founding in 2007 we have specialized in providing smart, technology-enabled solutions to help our clients realize new mission and business capabilities, and to continuously enhance and improve operations. Our breadth of capabilities, industry leading experience, client trust, and commitment to excellence, has enabled us to manifest the promise of agile business and adaptive IT into reality.Contact: [email protected] original content:https://www.prnewswire.com/news-releases/halvik-corp-awarded-multi-year-contract-to-support-dod-joint-artificial-intelligence-center-301428654.htmlSOURCE Halvik CorpThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.Watch LiveNewsSpecial ReportsWeatherSportsCommunityAbout UsScheduleAction News 51960 Union AvenueMemphis, TN 38104(901) 726-0555Public Inspection [email protected] - (901) 726-0501EEO ReportClosed CaptioningPrivacy PolicyTerms of ServiceAdvertisingA Gray Media Group, Inc. Station - © 2002-2021 Gray Television, Inc.
Halvik Corp awarded multi-year contract to support DoD Joint Artificial Intelligence Center
Halvik Corp awarded multiyear contract support DoD Joint Artificial Intelligence Center Skip contentAdvertise UsContestsOpryland GiveawayWendys Giant WeekChickfilA Community ChampionsConway CaresMidSouth HeroesWatch LiveLatest VideoNewsWeatherBack SchoolGreat Health DivideCoronavirusShare Your PicsHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalI40 Bridge ShutdownEducationBack SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging Great Health DivideCommunityMidSouth HeroesSportsOlympicsGrizzliesCollege FootballCollege BasketballFriday Football FeverTrafficGas PricesProgrammingScheduleBluff City LifeMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationCircle Country Music LifestyleFull Court Press Greta Van SusterenInvestigate TVGray DC BureauPress ReleasesHalvik Corp awarded multiyear contract support DoD Joint Artificial Intelligence CenterPublished: Nov. 19, 2021 6:00 AM CSTUpdated: 23 minutes agoVIENNA, Va., Nov. 19, 2021 PRNewswire Halvik Corp, leader technology, engineering, professional services US Federal market awarded new, threeyear contract estimated 14.6 million Department Defense DoD Joint Artificial Intelligence Center JAIC. Through contract, Halvik support JAIC mission transform DoD accelerating delivery adoption Artificial Intelligence AI, Machine Learning, Robotic Process Automation RPA solutions achieve mission impact scale.Halvik recognizes AIs potential alter facets battlefield, including office, said Jason Engleka, AI Data Analytics Practice Lead Halvik. We honored support JAIC mission committed bringing innovative solutions DoD.Consistent JAICs mission scale impact DoD, work extend Halviks service customers nations military, deepening engagements delivering highvalue, missionprioritized results, said Pete Santighian, Halviks Senior Vice President Defense National Security.This contract award provides clear recognition Halviks strategic investment leadingedge technology solutions, industry expertise, establishment Artificial Intelligence Data Analytics Practice, said Madhavi Bathula, CEO Halvik.About Halvik:Halvik awardwinning company providing endtoend software management solutions: architecturedesign, developmenttesting, operations maintenance. Since founding 2007 specialized providing smart, technologyenabled solutions help clients realize new mission business capabilities, continuously enhance improve operations. Our breadth capabilities, industry leading experience, client trust, commitment excellence, enabled manifest promise agile business adaptive IT reality.: info original content: Halvik CorpThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .Watch LiveNewsSpecial ReportsWeatherSportsCommunityScheduleAction News 51960 Union AvenueMemphis, TN 38104901 7260555Public Inspection FilePUBLICFILE 901 7260501EEO ReportClosed CaptioningAdvertisingA Gray Media Group, . Station 20022021 Gray Television, .
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https://www.actionnews5.com/prnewswire/2022/09/20/ascribe-launches-new-release-ai-coder/
2022-09-20T00:00:00
en
Ascribe Launches a New Release of AI Coder
Ascribe Launches a New Release of AI Coder Skip to contentAdvertise with UsBluff City LifeContestsChick-fil-A Community ChampionsMid-South HeroesWendy's Giant of the WeekWatch LiveLatest VideoNewsWeatherSportsGreat Health DivideTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack to SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastHurricaneThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging the Great Health DivideCommunityBlack History MonthMid-South HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskAbout UsMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress ReleasesAscribe Launches a New Release of AI CoderPublished: Sep. 20, 2022 at 12:00 PM CDT|Updated: 2 hours agoAI Coder creates a theme-based codebook and codes responses automatically to improve coding productivityCINCINNATI, Sept. 20, 2022 /PRNewswire/ -- Ascribe announces a new release of AI Coder which creates a theme-based codebook and codes the verbatim responses automatically. AI Coder enables responses to be coded and a summary delivered within an hour, lowering costs and time to completion.Open-end, text-based comments are some of the most valuable data collected to understand consumer thoughts and behavior yet tabulating them to provide quantitative insights is time consuming and labor intensive. Finding ways to automate verbatim coding while allowing coders to maintain control of the results is at the heart of Coder innovation. AI Coder, a feature within Ascribe's Coder verbatim management system, identifies the top codes with one click and even connects codes to segments. Coders can easily edit the codebook and create nets, as well as leverage other Coder features."Our customers are constantly asking us to help improve the productivity of their coding operations. Ascribe's new AI Coder is the closest we have come to fully automated verbatim coding, and I believe this innovation will be a game-changer in the industry," says Rick Kieser, Ascribe CEO. "AI Coder delivers incredible results, and our coding partners are excited about its potential."In a Product Concept Study test vs manual coding with Coder, AI Coder delivered 95% accuracy in 30% of the time, with 70% labor saving. Coding Experts partner Sandi says, "I am really excited about AI Coder. The new version is a significant step forward. It is very smart and sophisticated. I love that it not only can pick out segments to build codes but it also can build nets as well. It is going to be very helpful when we have large studies." Contact Ascribe to learn more.About AscribeFounded in 1999, Ascribe's leading verbatim analytics solutions and services help the world's largest market research firms, corporate researchers and customer experience professionals structure open-ended comments for analysis. Ascribe's comprehensive and flexible SaaS-based technologies enable accurate and fast analysis of verbatim comments regardless of channel or language.View original content:https://www.prnewswire.com/news-releases/ascribe-launches-a-new-release-of-ai-coder-301628700.htmlSOURCE AscribeThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.Watch LiveNewsSpecial ReportsWeatherSportsCommunityAbout UsScheduleAction News 51960 Union AvenueMemphis, TN 38104(901) 726-0555Public Inspection [email protected] - (901) 726-0501EEO ReportClosed Captioning/Audio DescriptionPrivacy PolicyTerms of ServiceAdvertisingA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
Ascribe Launches a New Release of AI Coder
Ascribe Launches New Release AI Coder Skip contentAdvertise UsBluff City LifeContestsChickfilA Community ChampionsMidSouth HeroesWendys Giant WeekWatch LiveLatest VideoNewsWeatherSportsGreat Health DivideTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastHurricaneThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging Great Health DivideCommunityBlack History MonthMidSouth HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress ReleasesAscribe Launches New Release AI CoderPublished: Sep. 20, 2022 12:00 PM CDTUpdated: 2 hours agoAI Coder creates themebased codebook codes responses automatically improve coding productivityCINCINNATI, Sept. 20, 2022 PRNewswire Ascribe announces new release AI Coder creates themebased codebook codes verbatim responses automatically. AI Coder enables responses coded summary delivered hour, lowering costs time completion.Openend, textbased comments valuable data collected understand consumer thoughts behavior tabulating provide quantitative insights time consuming labor intensive. Finding ways automate verbatim coding allowing coders maintain control results heart Coder innovation. AI Coder, feature Ascribes Coder verbatim management system, identifies codes click connects codes segments. Coders easily edit codebook create nets, leverage Coder features.Our customers constantly asking help improve productivity coding operations. Ascribes new AI Coder closest come fully automated verbatim coding, I believe innovation gamechanger industry, says Rick Kieser, Ascribe CEO. AI Coder delivers incredible results, coding partners excited potential.In Product Concept Study test vs manual coding Coder, AI Coder delivered 95 accuracy 30 time, 70 labor saving. Coding Experts partner Sandi says, I excited AI Coder. The new version significant stepforward. It smart sophisticated. I love pick segments build codes build nets well.It going helpful large studies. Ascribeto learn more.About AscribeFounded 1999, Ascribes leading verbatim analytics solutions services help worlds largest market research firms, corporate researchers customer experience professionals structure openended comments analysis. Ascribes comprehensive flexible SaaSbased technologies enable accurate fast analysis verbatim comments regardless channel language.View original content: AscribeThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .Watch LiveNewsSpecial ReportsWeatherSportsCommunityScheduleAction News 51960 Union AvenueMemphis, TN 38104901 7260555Public Inspection FilePUBLICFILE 901 7260501EEO ReportClosed CaptioningAudio DescriptionAdvertisingA Gray Media Group, . Station 20022022 Gray Television, .
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https://www.actionnews5.com/prnewswire/2023/03/06/shanghai-artificial-intelligence-technology-association-held-commendation-conference-youliancloud-achieved-outstanding-contribution-year-2022-award/
2023-03-06T00:00:00
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Shanghai Artificial Intelligence Technology Association Held Commendation Conference, YouLianCloud achieved the "Outstanding Contribution of Year 2022" award
Shanghai Artificial Intelligence Technology Association Held Commendation Conference, YouLianCloud achieved the "Outstanding Contribution of Year 2022" award Skip to contentAdvertise with UsBluff City LifeContestsChick-fil-A Community ChampionsTyre NicholsWatch LiveLatest VideoNewsFirst Alert WeatherSportsGreat Health DivideTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack to SchoolGood NewsPolitical NewsConsumerCrimeFirst Alert WeatherSchool Day ForecastHurricaneThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging the Great Health DivideCommunityBlack History MonthMid-South HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskAbout UsMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress Releases2 weather alerts in effectDismiss Weather Alerts Alerts BarShanghai Artificial Intelligence Technology Association Held Commendation Conference, YouLianCloud achieved the "Outstanding Contribution of Year 2022" awardPublished: Mar. 5, 2023 at 9:41 PM CST|Updated: 56 minutes agoSHANGHAI, March 5, 2023 /PRNewswire/ -- Recently, Shanghai Artificial Intelligence Technology Association (SAITA) announced the list of advanced enterprises to be commended of 2022. The categories of enterprise awards in 2022 offered by SAITA include Science & Technology Innovation Awards, Emerging Innovation Awards as well as Outstanding Contribution Awards. Among them, YouLianCloud Information Service (Shanghai) Co., Ltd. ("YouLianCloud" ) is recognized as the winner of "Outstanding Contribution of Year 2022".As the industry-leading intelligent financial information engine in China, YouLianCloud takes ecological connection as the core, deeply cultivates the financial industry and AIGC. By combining natural language processing, big data and knowledge graph technology, YouLianCloud provides its users with intelligent applications for multiple scenarios such as sales, marketing, investment research and risk control.With decades of deep understanding of the financial field and rich insight of the demanding, the team furthers its research in the field of financial AIGC. Embedded with natural language processing, knowledge graph and generative AI technologies, the platform reaches the produciton of Intelligent Content such as intelligent financial information and intelligent financial videos. Meanwhile, it also solves the difficulties of data capture, materials searching and inefficient creation.At present, YouLianCloud has provided a wide range of digital and intelligent services for hundreds of large financial institutions and listed companies. It has been honored as the "Most Commercial Cooperation Value Winner of 2022 " in the field of Knowledge Graph.View original content:https://www.prnewswire.com/news-releases/shanghai-artificial-intelligence-technology-association-held-commendation-conference-youliancloud-achieved-the-outstanding-contribution-of-year-2022-award-301762950.htmlSOURCE YouLianCloudThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.Watch LiveNewsSpecial ReportsFirst Alert WeatherSportsCommunityAbout UsScheduleAction News 51960 Union AvenueMemphis, TN 38104(901) 726-0555Public Inspection [email protected] - (901) 726-0501EEO ReportClosed Captioning/Audio DescriptionPrivacy PolicyTerms of ServiceAdvertisingA Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
Shanghai Artificial Intelligence Technology Association Held Commendation Conference, YouLianCloud achieved the "Outstanding Contribution of Year 2022" award
Shanghai Artificial Intelligence Technology Association Held Commendation Conference, YouLianCloud achieved Outstanding Contribution Year 2022 award Skip contentAdvertise UsBluff City LifeContestsChickfilA Community ChampionsTyre NicholsWatch LiveLatest VideoNewsFirst Alert WeatherSportsGreat Health DivideTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack SchoolGood NewsPolitical NewsConsumerCrimeFirst Alert WeatherSchool Day ForecastHurricaneThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging Great Health DivideCommunityBlack History MonthMidSouth HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress Releases2 weather alerts effectDismiss Weather Alerts Alerts BarShanghai Artificial Intelligence Technology Association Held Commendation Conference, YouLianCloud achieved Outstanding Contribution Year 2022 awardPublished: Mar. 5, 2023 9:41 PM CSTUpdated: 56 minutes agoSHANGHAI, March 5, 2023 PRNewswire Recently, Shanghai Artificial Intelligence Technology Association SAITA announced list advanced enterprises commended 2022. The categories enterprise awards 2022 offered SAITA include Science Technology Innovation Awards, Emerging Innovation Awards Outstanding Contribution Awards. Among them, YouLianCloud Information Service Shanghai Co., Ltd. YouLianCloud recognized winner Outstanding Contribution Year 2022.As industryleading intelligent financial information engine China, YouLianCloud takes ecological connection core, deeply cultivates financial industry AIGC. By combining natural language processing, big data knowledge graph technology, YouLianCloud provides users intelligent applications multiple scenarios sales, marketing, investment research risk control.With decades deep understanding financial field rich insight demanding, team furthers research field financial AIGC. Embedded natural language processing, knowledge graph generative AI technologies, platform reaches produciton Intelligent Content intelligent financial information intelligent financial videos. Meanwhile, solves difficulties data capture, materials searching inefficient creation.At present, YouLianCloud provided wide range digital intelligent services hundreds large financial institutions listed companies. It honored Most Commercial Cooperation Value Winner 2022 field Knowledge Graph.View original content: YouLianCloudThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .Watch LiveNewsSpecial ReportsFirst Alert WeatherSportsCommunityScheduleAction News 51960 Union AvenueMemphis, TN 38104901 7260555Public Inspection FilePUBLICFILE 901 7260501EEO ReportClosed CaptioningAudio DescriptionAdvertisingA Gray Media Group, . Station 20022023 Gray Television, .
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https://www.actionnews5.com/prnewswire/2023/05/18/american-finance-llc-scales-revenue-recovery-by-optimizing-collection-processes-with-skitais-conversational-voice-ai-platform/
2023-05-18T00:00:00
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American Finance L.L.C Scales Revenue Recovery by Optimizing Collection Processes with Skit.ai's Conversational Voice AI Platform
American Finance L.L.C Scales Revenue Recovery by Optimizing Collection Processes with Skit.ai's Conversational Voice AI Platform Skip to contentAdvertise with UsBluff City LifeContestsChick-fil-A Community ChampionsMemphis ShowboatsTyre NicholsWatch LiveLatest VideoNewsFirst Alert WeatherSportsTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital Desk5 Star StoriesGood NewsPolitical NewsConsumerCrimeFirst Alert WeatherAllergy ForecastThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging the Great Health DivideCommunityBlack History MonthMid-South HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverMemphis ShowboatsStats & PredictionsOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskAbout UsMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress ReleasesFlash Flood Watch is in effectDismiss Weather Alerts Alerts BarAmerican Finance L.L.C Scales Revenue Recovery by Optimizing Collection Processes with Skit.ai's Conversational Voice AI PlatformPublished: May. 18, 2023 at 7:30 AM CDT|Updated: 34 minutes agoSkit.ai's Conversational Voice AI solution achieves significant milestones in American Finance L.L.C with better collections, efficiency, and scalable support.NEW YORK, May 18, 2023 /PRNewswire/ -- Skit.ai, the leading Conversational Voice AI solution provider in the Account Receivable Management (A.R.M) industry, announces a strategic alliance with Delaware based, American Finance L.L.C, a prominent lending company specializing in the automotive industry. The company was one of the early adopters of Voice AI in the ARM industry. This partnership aims to automate their outbound calls and accelerate revenue recovery efforts by scaling collections efficiency and rates.American Finance L.L.C Augments Revenue Recovery by Optimizing Collection Processes with Skit.ai's Conversational Voice AI Platform.(PRNewswire)American Finance L.L.C like many collection agencies, faced challenges such as escalating costs and bottlenecks arising from skilled agent scarcity. Skit.ai's compliant, configurable, and easy-to-deploy Augmented Voice Intelligent Platform emerged as an ideal fit, offering end-to-end automation at a quarter of the cost and solving agent scarcity challenges with scalable outbound collection campaigns. The implementation of such a robust platform enabled American Finance to get the right person at the right time and with the right message, achieving an impressive collection rate of 13.5% and an engagement rate of 38%. Talking about the partnership, Dean Stibbs, Director of Information Technology at American Finance L.L.C., stated, "We chose Skit.ai for its robust technology and understanding of the debt collections space, and we were equally impressed with how responsive and easy to work with the team was. Skit.ai's Voice AI solution performs as well as our average collector on the floor. We've been telling our peers in the industry that Skit.ai is one of the best ideas we've implemented at American Finance to date."Skit.ai's partnership with American Finance marks the beginning of a new era in the ARM industry, a period that will be marked by the rise of Conversational Voice AI, capable of end-to-end call automation, a rise in collection efficiencies, and a marked reduction in agent dependencies. The rise in collections, payment rates, and cost-efficiency clearly make Skit.ai's partnership with American Finance a perfect example of how ARM companies can use Voice AI technology to transform collections."American Finance was the first to adopt our platform in the ARM industry. We have broken many barriers like 57% of Card-on-file payments and frequent repeat payments at one-fourth of the prior call cost. We are just getting started and expect further improvements in the coming months," stated Sourabh Gupta, Founder, and CEO of Skit.aiFor more information on Skit.ai's Conversational Voice AI solution and its impact, visit www.skit.ai.About American Finance L.L.C.American Finance L.L.C. is a lending company specializing in the automotive industry and works with people in any financial stage. Whether you need assistance with a used auto loan, buying a commercial truck, or if you have large repairs for your current vehicle we can help. Learn more - https://americanfinancellc.com/About Skit.ai: Skit.ai is the leading Conversational Voice AI company in the ARM industry, enabling collection agencies to streamline and accelerate revenue recovery. Skit.ai's Compliant, Configurable, and Easy-to-deploy solution enables enterprises to automate nearly one million weekly consumer conversations. Skit.ai has been recognized by Forbes 30 Under 30 Asia 2021 and has been awarded several award recognitions, including Disruptive Technology of the Year 2022 by CCW; Stevie Bronze Winner 2022 by The International Business Awards; Gold Globee CEO Awards 2022; and Startup of the Year in Artificial Intelligence 2021 by Entrepreneur India. Skit.ai is headquartered in New York City, NY. Learn more at https://Skit.aiPhoto: https://mma.prnewswire.com/media/2080225/Americal_Fianace_LLC_Skitai.jpgView original content to download multimedia:https://www.prnewswire.com/news-releases/american-finance--llc-scales-revenue-recovery-by-optimizing-collection-processes-with-skitais-conversational-voice-ai-platform-301828365.htmlSOURCE Skit.aiThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.Watch LiveNewsSpecial ReportsFirst Alert WeatherSportsCommunityAbout UsScheduleAction News 51960 Union AvenueMemphis, TN 38104(901) 726-0555Public Inspection [email protected] - (901) 726-0501EEO ReportClosed Captioning/Audio DescriptionPrivacy PolicyTerms of ServiceAdvertisingDigital AdvertisingA Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
American Finance L.L.C Scales Revenue Recovery by Optimizing Collection Processes with Skit.ai's Conversational Voice AI Platform
American Finance L.L.C Scales Revenue Recovery Optimizing Collection Processes Skit.ais Conversational Voice AI Platform Skip contentAdvertise UsBluff City LifeContestsChickfilA Community ChampionsMemphis ShowboatsTyre NicholsWatch LiveLatest VideoNewsFirst Alert WeatherSportsTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital Desk5 Star StoriesGood NewsPolitical NewsConsumerCrimeFirst Alert WeatherAllergy ForecastThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging Great Health DivideCommunityBlack History MonthMidSouth HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverMemphis ShowboatsStats PredictionsOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress ReleasesFlash Flood Watch effectDismiss Weather Alerts Alerts BarAmerican Finance L.L.C Scales Revenue Recovery Optimizing Collection Processes Skit.ais Conversational Voice AI PlatformPublished: May. 18, 2023 7:30 AM CDTUpdated: 34 minutes agoSkit.ais Conversational Voice AI solution achieves significant milestones American Finance L.L.C better collections, efficiency, scalable support.NEW YORK, May 18, 2023 PRNewswire Skit.ai, leading Conversational Voice AI solution provider Account Receivable Management A.R.M industry, announces strategic alliance Delaware based, American Finance L.L.C, prominent lending company specializing automotive industry. The company early adopters Voice AI ARM industry. This partnership aims automate outbound calls accelerate revenue recovery efforts scaling collections efficiency rates.American Finance L.L.C Augments Revenue Recovery Optimizing Collection Processes Skit.ais Conversational Voice AI Platform.PRNewswireAmerican Finance L.L.C like collection agencies, faced challenges escalating costs bottlenecks arising skilled agent scarcity. Skit.ais compliant, configurable, easytodeploy Augmented Voice Intelligent Platform emerged ideal fit, offering endtoend automation quarter cost solving agent scarcity challenges scalable outbound collection campaigns. The implementation robust platform enabled American Finance right person right time right message, achieving impressive collection rate 13.5 engagement rate 38. Talking partnership, Dean Stibbs, Director Information Technology American Finance L.L.C., stated,We chose Skit.ai robust technology understanding debt collections space, equally impressed responsive easy work team was. Skit.ais Voice AI solution performs average collector floor. Weve telling peers industry Skit.ai best ideas weve implemented American Finance date.Skit.ais partnership American Finance marks beginning new era ARM industry, period marked rise Conversational Voice AI, capable endtoend automation, rise collection efficiencies, marked reduction agent dependencies. The rise collections, payment rates, costefficiency clearly Skit.ais partnership American Finance perfect example ARM companies use Voice AI technology transform collections.American Finance adopt platform ARM industry. We broken barriers like 57 Cardonfile payments frequent repeat payments onefourth prior cost. We getting started expect improvements coming months, stated Sourabh Gupta, Founder, CEO Skit.aiFor information Skit.ais Conversational Voice AI solution impact, visit American Finance L.L.C.American Finance L.L.C. lending company specializing automotive industry works people financial stage. Whether need assistance auto loan, buying commercial truck, large repairs current vehicle help. Learn Skit.ai: Skit.ai leading Conversational Voice AI company ARM industry, enabling collection agencies streamline accelerate revenue recovery. Skit.ais Compliant, Configurable, Easytodeploy solution enables enterprises automate nearly million weekly consumer conversations. Skit.ai recognized Forbes 30 Under 30 Asia 2021 awarded award recognitions, including Disruptive Technology Year 2022 CCW; Stevie Bronze Winner 2022 The International Business Awards; Gold Globee CEO Awards 2022; Startup Year Artificial Intelligence 2021 Entrepreneur India. Skit.ai headquartered New York City, NY. Learn original content download multimedia: Skit.aiThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .Watch LiveNewsSpecial ReportsFirst Alert WeatherSportsCommunityScheduleAction News 51960 Union AvenueMemphis, TN 38104901 7260555Public Inspection FilePUBLICFILE 901 7260501EEO ReportClosed CaptioningAudio DescriptionAdvertisingDigital AdvertisingA Gray Media Group, . Station 20022023 Gray Television, .
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https://www.adomonline.com/uon-using-ai-to-predict-pregnancy-risks-for-women-in-africa/
2023-09-01T00:00:00
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UoN using AI to predict pregnancy risks for women in Africa - Adomonline.com
UoN using AI to predict pregnancy risks for women in Africa - Adomonline.com Sign in Join Home News Politics Business Entertainment Sports Opinion Media Podcasts Live Radio Live TV Photos Videos More Top Stories Editorial Newspaper Headlines Opinion Elections Lifestyle Technology Automobile Real-Estate Obituary World Relationships Travel Election HQ Sign in Welcome!Log into your account your username your password Forgot your password? Create an account Sign up Welcome!Register for an account your email your username A password will be e-mailed to you. Password recovery Recover your password your email Search Sign in / JoinLive TV Live Radio Contact us Privacy Policy Sign in Welcome! Log into your account your username your password Forgot your password? Get help Create an account Create an account Welcome! Register for an account your email your username A password will be e-mailed to you. Password recovery Recover your password your email A password will be e-mailed to you. Adomonline.com Home News Politics Business Entertainment Sports Opinion Media Podcasts Live Radio Live TV Photos Videos More Top Stories Editorial Newspaper Headlines Opinion Elections Lifestyle Technology Automobile Real-Estate Obituary World Relationships Travel Election HQ Home Politics Opinion UoN using AI to predict pregnancy risks for women in Africa PoliticsOpinion UoN using AI to predict pregnancy risks for women in Africa SOURCEMoses Madadi Bio September 1, 2023 12:10 pm Facebook WhatsApp Twitter Telegram Email Pinterest Print Africa has the highest neonatal mortality rate in the world, with 27 deaths per 1,000 live births. However, comprehensive research on the relation between pregnancy loss and reproductive health issues are not as readily available.       What is known is that vaginal infections, including Sexually Transmitted Infections (STIs), could have serious implications for women’s reproductive health and their pregnancy outcomes. Critical research is needed to better understand the microorganisms present in various vaginal infections, and their role in particular pregnancy outcomes. Using Artificial Intelligence (AI) and next-generation sequencing technology, my team of researchers at the University of Nairobi are breaking new ground in understanding how the vaginal microbiome and vaginal infections affect a woman’s reproductive health and pregnancy outcomes. This technology could enable us to identify whether women who deliver at term have a certain microbiome, compared to those experiencing pre-term birth.   This research is not only the first of its kind in Kenya – it is cutting edge research with significant tangible impact in improving pregnancy outcomes for women around the world. It also informs the development of faster and less invasive testing – such as a urine test – at the point of care, and potentially the development of more effective therapeutic treatments. If health workers can diagnose and treat an infection at the point of care, you mitigate risk to mother and baby, and reduce the cost of treatment. The risks of vaginal infections in pregnancy   Testing for vaginal infections – particularly asymptomatic infections such as bacterial vaginosis – is not routinely carried out in prenatal examinations. Healthcare providers seldom carry out a full screening for both symptomatic and asymptomatic infections. They often do syphilis screening, and screenings in the case of premature rupture of the membranes, but there is no integrated approach for identifying asymptomatic infections.      Some studies indicate around 20% of women attending gynaecology clinics in Kenya have vaginal infections including bacterial vaginosis and parasitic infections, or STIs including syphilis, gonorrhea, Chlamydia and Trichomonas vaginalis. However, data suggests that as many as 73% of women have asymptomatic vaginal infections. Left untreated, these infections can lead to multiple adverse outcomes for pregnancy and gynaecological health, such as miscarriages, preterm birth, foetal growth restriction, premature rupture of the membranes, stillbirth, and endometriosis or infertility for the mother.  Early identification and treatment of vaginal infections would reduce the scale of adverse pregnancy outcomes. However, even where screening is carried out for vaginal infections, the process does not always have the desired outcomes, as the usual diagnostic method requires a vaginal swab, which can be seen as invasive and requires follow-up visits to receive the results and get treatment.  When patients are asked to return repeatedly, the financial cost and time involved for patients discourages follow-up care, resulting in the loss of precious time for treatment. Though nearly 90 percent of women in rural Kenya seek antenatal care, according to the United Nations Population Fund (UNFPA), many wait until the second or third trimester, when it is too late for effective treatment.  Improving pregnancy outcomes      Our five-year research project includes screening and monitoring over 1,500 women attending six medical facilities in Kenya over two years. The research follows first, second and third trimester development, with a control group, live births, and women with outcomes of interest such as preterm or stillbirths.       Having acquired advanced tools such as Polymerase Chain Reaction (PCR) machines to analyse bacteria, and an Illumina MiSeq sequencer for targeted and microbial genome applications, we will use next generation sequencing and AI to analyse microbial communities, and metabolomic profiling to identify predictive and diagnostic signatures of adverse pregnancy outcomes.             In the third year of our research, we will work with computational biology doctoral students to develop an AI model to analyse the data and develop prediction models that could be used to identify at-risk pregnancies for early interventions. Our aim is to show how differences in the composition in the vaginal microbiome impact pregnancy outcomes.       As part of our work, we have established new collaborations with the international Vaginal Microbiome Research Consortium (VMRC), a body which works to improve understanding on the stability of the vaginal microbiota, and risk for disease or adverse gestational outcomes among other functions.  In future, we also plan to drive improved education and awareness of the link between vaginal infections including STIs and pregnancy outcomes. We will sensitise communities and healthcare workers for them to understand that looking out for vaginal infections should be one of the standard pillars of prenatal care.  By working to identify predictive biomarkers for adverse pregnancy outcomes, we may be able to improve reproductive health for women not only in Kenya, but around the world, and support health officials with better intervention strategies to support healthier pregnancy outcomes. Moses Madadi Bio Moses Obimbo Madadi, Clinician-Scientist and Associate Professor at the University of Nairobi, Kenya, will form a coalition of researchers and develop tools to study the vaginal microbiome and metabolites during pregnancy to help identify predictive biomarkers and intervention strategies for improving pregnancy outcomes in Kenya. Africa carries a high burden of severe pregnancy complications such as stillbirths and neonatal deaths. To address this, Dr. Madadi is leveraging his broad experience in clinical, basic, and epidemiological research to establish a unique niche of translational research to support the health of women in Kenya and around the world. He will perform a prospective cohort study at four hospitals in Nairobi by collecting clinical data and vaginal samples from over 1500 pregnant women. He will use next generation sequencing to analyse microbial communities, and metabolomic profiling to identify predictive and diagnostic signatures of adverse pregnancy outcomes. These data will be used to develop artificial intelligence-assisted prediction models that could be used as valuable screening tools to identify at-risk pregnancies for early interventions Kasiebo Tau At 9:55AM on Adom TV (01-09-23) Peace and security within West Africa Sub Region - Badwam Mpensenpensemu on Adom TV (01-09-23) African leaders must sit up to avert coups pt2. : Asem Yi Di Ka - Badwam on Adom TV (01-09-23) Health Tips: Treatment for Depression pt.2 - Badwam on Adom TV (01-09-23) Badwam Ahosepe on Adom TV (01-09-23) Baah Herbal - Badwam Afisem on Adom TV (01-09-23) Badwam Media Review on Adom TV (01-09-23) Badwam News on Adom TV (01-09-23) Adwoa Agyeman Most Popular Major Boakye-Djan (Rtd) passes on John Boadu drops shocking revelation about NPP presidential aspirants NPP elections: Ayorkor Botchwey reveals her preferred candidate after casting her vote Family announces burial date for Sherry Ayittey Rev Owusu Bempah petitions CID to arrest Nana Agradaa Parliament calls for cancellation of Zoomlion contract I’m alive and well – Rev Owusu Bempah dispels death rumours Alleged assault on Alan’s agent exaggerated – North East NPP This is what a father told his 13-yr-old girl after sleeping with her [Watch] Mahama makes key appointments in NDC; check out list Download Apps Podcast Google Podcast TuneIn  iTunes  Spotify Subscribe to Newsletter * indicates required Email Address * First Name Last Name ABOUT USAdomOnline.com is your news, politics, business, sports, entertainment, a lifestyle website. 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UoN using AI to predict pregnancy risks for women in Africa
UoN AI predict pregnancy risks women Africa Sign Join Home News Politics Business Entertainment Sports Opinion Media Podcasts Live Radio Live TV Photos Videos More Top Stories Editorial Newspaper Headlines Opinion Elections Lifestyle Technology Automobile RealEstate Obituary World Relationships Travel Election HQ Sign WelcomeLog account username password Forgot password? Create account Sign Welcome account email username A password emailed you. Password recovery Recover password email Sign JoinLive TV Live Radio Sign Welcome Log account username password Forgot password? Get help Create account Create account Welcome account email username A password emailed you. Password recovery Recover password email A password emailed you. Home News Politics Business Entertainment Sports Opinion Media Podcasts Live Radio Live TV Photos Videos More Top Stories Editorial Newspaper Headlines Opinion Elections Lifestyle Technology Automobile RealEstate Obituary World Relationships Travel Election HQ Home Politics Opinion UoN AI predict pregnancy risks women Africa PoliticsOpinion UoN AI predict pregnancy risks women Africa SOURCEMoses Madadi Bio September 1, 2023 12:10 pm Facebook WhatsApp Twitter Telegram Email Pinterest Print Africa highest neonatal mortality rate world, 27 deaths 1,000 live births. However, comprehensive research relation pregnancy loss reproductive health issues readily available. What known vaginal infections, including Sexually Transmitted Infections STIs, implications womens reproductive health pregnancy outcomes. Critical research needed better understand microorganisms present vaginal infections, role particular pregnancy outcomes. Using Artificial Intelligence AI nextgeneration sequencing technology, team researchers University Nairobi breaking new ground understanding vaginal microbiome vaginal infections affect womans reproductive health pregnancy outcomes. This technology enable identify women deliver term certain microbiome, compared experiencing preterm birth. This research kind Kenya cutting edge research significant tangible impact improving pregnancy outcomes women world. It informs development faster invasive testing urine test point care, potentially development effective therapeutic treatments. If health workers diagnose treat infection point care, mitigate risk mother baby, reduce cost treatment. The risks vaginal infections pregnancy Testing vaginal infections particularly asymptomatic infections bacterial vaginosis routinely carried prenatal examinations. Healthcare providers seldom carry screening symptomatic asymptomatic infections. They syphilis screening, screenings case premature rupture membranes, integrated approach identifying asymptomatic infections. Some studies indicate 20 women attending gynaecology clinics Kenya vaginal infections including bacterial vaginosis parasitic infections, STIs including syphilis, gonorrhea, Chlamydia Trichomonas vaginalis. However, data suggests 73 women asymptomatic vaginal infections. Left untreated, infections lead multiple adverse outcomes pregnancy gynaecological health, miscarriages, preterm birth, foetal growth restriction, premature rupture membranes, stillbirth, endometriosis infertility mother. Early identification treatment vaginal infections reduce scale adverse pregnancy outcomes. However, screening carried vaginal infections, process desired outcomes, usual diagnostic method requires vaginal swab, seen invasive requires followup visits receive results treatment. When patients asked return repeatedly, financial cost time involved patients discourages followup care, resulting loss precious time treatment. Though nearly 90 percent women rural Kenya seek antenatal care, according United Nations Population Fund UNFPA, wait second trimester, late effective treatment. Improving pregnancy outcomes Our fiveyear research project includes screening monitoring 1,500 women attending medical facilities Kenya years. The research follows first, second trimester development, control group, live births, women outcomes preterm stillbirths. Having acquired advanced tools Polymerase Chain Reaction PCR machines analyse bacteria, Illumina MiSeq sequencer targeted microbial genome applications, use generation sequencing AI analyse microbial communities, metabolomic profiling identify predictive diagnostic signatures adverse pregnancy outcomes. In year research, work computational biology doctoral students develop AI model analyse data develop prediction models identify atrisk pregnancies early interventions. Our aim differences composition vaginal microbiome impact pregnancy outcomes. As work, established new collaborations international Vaginal Microbiome Research Consortium VMRC, body works improve understanding stability vaginal microbiota, risk disease adverse gestational outcomes functions. In future, plan drive improved education awareness link vaginal infections including STIs pregnancy outcomes. We sensitise communities healthcare workers understand looking vaginal infections standard pillars prenatal care. By working identify predictive biomarkers adverse pregnancy outcomes, able improve reproductive health women Kenya, world, support health officials better intervention strategies support healthier pregnancy outcomes. Moses Madadi Bio Moses Obimbo Madadi, ClinicianScientist Associate Professor University Nairobi, Kenya, form coalition researchers develop tools study vaginal microbiome metabolites pregnancy help identify predictive biomarkers intervention strategies improving pregnancy outcomes Kenya. Africa carries high burden severe pregnancy complications stillbirths neonatal deaths. To address this, Dr. Madadi leveraging broad experience clinical, basic, epidemiological research establish unique niche translational research support health women Kenya world. He perform prospective cohort study hospitals Nairobi collecting clinical data vaginal samples 1500 pregnant women. He use generation sequencing analyse microbial communities, metabolomic profiling identify predictive diagnostic signatures adverse pregnancy outcomes. These data develop artificial intelligenceassisted prediction models valuable screening tools identify atrisk pregnancies early interventions Kasiebo Tau At 9:55AM Adom TV 010923 Peace security West Africa Sub Region Badwam Mpensenpensemu Adom TV 010923 African leaders sit avert coups pt2. : Asem Yi Di Ka Badwam Adom TV 010923 Health Tips: Treatment Depression pt.2 Badwam Adom TV 010923 Badwam Ahosepe Adom TV 010923 Baah Herbal Badwam Afisem Adom TV 010923 Badwam Media Review Adom TV 010923 Badwam News Adom TV 010923 Adwoa Agyeman Most Popular Major BoakyeDjan Rtd passes John Boadu drops shocking revelation NPP presidential aspirants NPP elections: Ayorkor Botchwey reveals preferred candidate casting vote Family announces burial date Sherry Ayittey Rev Owusu Bempah petitions CID arrest Nana Agradaa Parliament calls cancellation Zoomlion contract Im alive Rev Owusu Bempah dispels death rumours Alleged assault Alans agent exaggerated North East NPP This father told 13yrold girl sleeping [Watch] Mahama makes key appointments NDC; check list Download Apps Podcast Google Podcast TuneIn iTunes Spotify Newsletter indicates required Email Address First Name Last Name ABOUT news, politics, business, sports, entertainment, lifestyle website. 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https://www.ai-online.com/2022/11/alpha-and-omega-semiconductor-announces-new-650v-and-750v-automotive-qualified-%CE%B1sic-mosfets-for-industrial-and-electric-vehicle-applications/
2022-11-16T00:00:00
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Alpha and Omega Semiconductor Announces New 650V and 750V Automotive Qualified αSiC MOSFETs for Industrial and Electric Vehicle Applications - AI Online -
Alpha and Omega Semiconductor Announces New 650V and 750V Automotive Qualified αSiC MOSFETs for Industrial and Electric Vehicle Applications - AI Online - Skip to content AI Online Ai INNOVATION, SINCE 1895 Primary Menu About Archives Library Gallery Network Suppliers Engineering & Design Purchasing Logistics Fuels Vehicle Systems Exterior Interior Chassis Powertrain Electronic Advertise Custom Cover Ai Sponsorship -100% Satisfaction Guarantee Gallery Our Clients Reviews Contact Investor Relations Search for: Zoom Meeting Engineering & Design Alpha and Omega Semiconductor Announces New 650V and 750V Automotive Qualified αSiC MOSFETs for Industrial and Electric Vehicle Applications Nov 2022 Nick Palmen Alpha and Omega Semiconductor Limited (AOS) (Nasdaq: AOSL) a designer, developer, and global supplier of a broad range of power semiconductors, power ICs, and digital power products, today announced its new industry-leading 650V and 750V SiC MOSFET platform for both industrial and automotive applications. The 650V SiC MOSFETs are ideal switching solutions for industrial applications such as solar inverters, motor drives, industrial power supplies, and new energy storage systems, while the AEC-Q101 qualified 750V SiC MOSFET line is targeted for the high-reliability needs in electric vehicle (EV) systems such as the on-board charger (OBC) and the main traction inverter. The new AOM015V75X2Q 750V αSiC MOSFET expands on the existing second-generation 1200V αSiC MOSFET and diode products with an industry-leading low RDS(ON) down to 15mΩ in a standard TO-247-4L package while maintaining a recommended +15V gate drive voltage to ensure the broadest compatibility with existing gate driver solutions. Due to the minimized internal gate resistance and optimized cell design, AOS designed these devices to exhibit ultra-fast switching speeds that are fully controllable with an external gate resistor. This benefit is also noticeable in standard switching figures-of-merit (FoM) such as RON x QGD and RON x QRR that are improved compared to existing 750V SiC MOSFET solutions. Highlighting the advantages of these new αSiC MOSFETs is the breakthrough performance increase in short circuit withstand time (SCWT) for planar SiC MOSFETs. For many applications, and especially in EV inverters, a longer SCWT can greatly improve the system’s ruggedness and give developers more flexibility in design. In order to achieve an increase in SCWT, it is typically necessary to also significantly increase the die size of the product, which can impact overall system costs. In AOS tests, these new 750V MOSFETs have maintained a similar or lower RON x A while demonstrating a greater than 40% increase in SCWT when compared to similarly-sized competitive products. “We are very excited to follow up on our successful 1200V αSiC MOSFETs with these automotive-grade 650V and 750V products. Our industrial, renewable energy, and xEV customers will now have a complete portfolio available to select the right solution that supports their wide range of product power levels at an even higher performance and efficiency level,” said David Sheridan, Vice President of SiC products at AOS. Technical Highlights: 650V αSiC MOSFETs are qualified for industrial use 750V αSiC MOSFETs are AEC-Q101 Qualified for xEV applications and PPAP capable RDS,ON available down to 15mΩ Low Qrr and robust body diode Maximum operating junction temperature to 175°C Along with today’s announced 650V and 750V SiC MOSFETs, AOS is exhibiting its broad portfolio of advanced semiconductor solutions at the electronica conference, November 15-18, Booth C4-102 at the Trade Fair Messe. Pricing and Availability The initial 750V automotive series αSiC MOSFET products (AOM015V75X2Q, AOM060V75X2Q), and industrial 650V series (AOM015V65X2, AOM060V65X2) will be available for orders in Q4/2022. Please contact your local sales representative for pricing. About AOS Alpha and Omega Semiconductor Limited, or AOS, is a designer, developer, and global supplier of a broad range of power semiconductors, including a wide portfolio of Power MOSFET, IGBT, IPM, TVS, HVIC, SiC, Power IC, and Digital Power products. AOS has developed extensive intellectual property and technical knowledge that encompasses the latest advancements in the power semiconductor industry, which enables us to introduce innovative products to address the increasingly complex power requirements of advanced electronics. AOS differentiates itself by integrating its Discrete and IC semiconductor process technology, product design, and advanced packaging know-how to develop high-performance power management solutions. AOS’s portfolio of products targets high-volume applications, including portable computers, flat-panel TVs, LED lighting, smartphones, battery packs, consumer and industrial motor controls, automotive electronics, and power supplies for TVs, computers, servers, and telecommunications equipment. For more information, please visit www.aosmd.com. Previous postsMassivit 3D to Launch the New Massivit 10000-G to the AM Market at Formnext 2022 in GermanyROHM’s New 0603-Size LEDs Optimized for Low-Current, Low-Light ApplicationsSmart manufacturing holds key to future success Next postsGatik named a TIME Best Invention of 2022 for World-First Fully Driverless Middle Mile Trucking SolutionNanotronics Announces Opening of Munich OfficeVeoneer Awarded Active Safety System by Major Asian OEM Share Your News with Ai Wed. 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Alpha and Omega Semiconductor Announces New 650V and 750V Automotive Qualified αSiC MOSFETs for Industrial and Electric Vehicle Applications
Alpha Omega Semiconductor Announces New 650V 750V Automotive Qualified SiC MOSFETs Industrial Electric Vehicle Applications AI Online Skip content AI Online Ai INNOVATION, SINCE 1895 Primary Menu About Archives Library Gallery Network Suppliers Engineering Design Purchasing Logistics Fuels Vehicle Systems Exterior Interior Chassis Powertrain Electronic Advertise Custom Cover Ai Sponsorship 100 Satisfaction Guarantee Gallery Our Clients Reviews Investor Relations for: Zoom Meeting Engineering Design Alpha Omega Semiconductor Announces New 650V 750V Automotive Qualified SiC MOSFETs Industrial Electric Vehicle Applications Nov 2022 Nick Palmen Alpha Omega Semiconductor Limited AOS Nasdaq: AOSL designer, developer, global supplier broad range power semiconductors, power ICs, digital power products, today announced new industryleading 650V 750V SiC MOSFET platform industrial automotive applications. The 650V SiC MOSFETs ideal switching solutions industrial applications solar inverters, motor drives, industrial power supplies, new energy storage systems, AECQ101 qualified 750V SiC MOSFET line targeted highreliability needs electric vehicle EV systems onboard charger OBC main traction inverter. The new AOM015V75X2Q 750V SiC MOSFET expands existing secondgeneration 1200V SiC MOSFET diode products industryleading low RDSON 15m standard TO2474L package maintaining recommended 15V gate drive voltage ensure broadest compatibility existing gate driver solutions. Due minimized internal gate resistance optimized cell design, AOS designed devices exhibit ultrafast switching speeds fully controllable external gate resistor. This benefit noticeable standard switching figuresofmerit FoM RON x QGD RON x QRR improved compared existing 750V SiC MOSFET solutions. Highlighting advantages new SiC MOSFETs breakthrough performance increase short circuit withstand time SCWT planar SiC MOSFETs. For applications, especially EV inverters, longer SCWT greatly improve systems ruggedness developers flexibility design. In order achieve increase SCWT, typically necessary significantly increase die size product, impact overall costs. In AOS tests, new 750V MOSFETs maintained similar lower RON x A demonstrating greater 40 increase SCWT compared similarlysized competitive products. We excited follow successful 1200V SiC MOSFETs automotivegrade 650V 750V products. Our industrial, renewable energy, xEV customers complete portfolio available select right solution supports wide range product power levels higher performance efficiency level, said David Sheridan, Vice President SiC products AOS. Technical Highlights: 650V SiC MOSFETs qualified industrial use 750V SiC MOSFETs AECQ101 Qualified xEV applications PPAP capable RDS,ON available 15m Low Qrr robust body diode Maximum operating junction temperature 175C Along todays announced 650V 750V SiC MOSFETs, AOS exhibiting broad portfolio advanced semiconductor solutions electronica conference, November 1518, Booth C4102 Trade Fair Messe. Pricing Availability The initial 750V automotive series SiC MOSFET products AOM015V75X2Q, AOM060V75X2Q, industrial 650V series AOM015V65X2, AOM060V65X2 available orders Q42022. Please contact local sales representative pricing. About AOS Alpha Omega Semiconductor Limited, AOS, designer, developer, global supplier broad range power semiconductors, including wide portfolio Power MOSFET, IGBT, IPM, TVS, HVIC, SiC, Power IC, Digital Power products. AOS developed extensive intellectual property technical knowledge encompasses latest advancements power semiconductor industry, enables introduce innovative products address increasingly complex power requirements advanced electronics. AOS differentiates integrating Discrete IC semiconductor process technology, product design, advanced packaging knowhow develop highperformance power management solutions. AOSs portfolio products targets highvolume applications, including portable computers, flatpanel TVs, LED lighting, smartphones, battery packs, consumer industrial motor controls, automotive electronics, power supplies TVs, computers, servers, telecommunications equipment. For information, visit Previous postsMassivit 3D Launch New Massivit 10000G AM Market Formnext 2022 GermanyROHMs New 0603Size LEDs Optimized LowCurrent, LowLight ApplicationsSmart manufacturing holds key future success Next postsGatik named TIME Best Invention 2022 WorldFirst Fully Driverless Middle Mile Trucking SolutionNanotronics Announces Opening Munich OfficeVeoneer Awarded Active Safety System Major Asian OEM Share Your News Ai Wed. November 16th, 2022 Share post Share Your News Ai Automotive Industries RareNFT CollectablesCollect Now From 1895 Present AI Library AI Library Select Month November 2022 October 2022 September 2022 August 2022 July 2022 June 2022 May 2022 April 2022 March 2022 February 2022 January 2022 December 2021 November 2021 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 April 2021 March 2021 February 2021 January 2021 December 2020 November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 March 2019 February 2019 January 2019 December 2018 November 2018 October 2018 September 2018 August 2018 July 2018 June 2018 May 2018 April 2018 March 2018 February 2018 January 2018 December 2017 November 2017 October 2017 September 2017 August 2017 July 2017 June 2017 May 2017 April 2017 March 2017 February 2017 January 2017 December 2016 November 2016 October 2016 September 2016 August 2016 July 2016 June 2016 May 2016 April 2016 March 2016 February 2016 January 2016 December 2015 November 2015 October 2015 September 2015 August 2015 July 2015 June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 December 2014 November 2014 October 2014 September 2014 August 2014 July 2014 June 2014 May 2014 April 2014 March 2014 February 2014 January 2014 December 2013 November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 October 2012 September 2012 August 2012 July 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October 2011 September 2011 August 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 December 2010 November 2010 October 2010 September 2010 August 2010 July 2010 June 2010 May 2010 April 2010 March 2010 February 2010 January 2010 December 2009 November 2009 October 2009 September 2009 August 2009 July 2009 June 2009 May 2009 April 2009 March 2009 February 2009 January 2009 December 2008 November 2008 October 2008 September 2008 August 2008 July 2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008 December 2007 November 2007 October 2007 September 2007 August 2007 July 2007 June 2007 May 2007 April 2007 March 2007 February 2007 January 2007 December 2006 November 2006 October 2006 September 2006 August 2006 July 2006 June 2006 May 2006 April 2006 March 2006 February 2006 January 2006 December 2005 November 2005 October 2005 September 2005 August 2005 July 2005 April 2005 March 2005 February 2005 January 2005 December 2004 November 2004 October 2004 September 2004 August 2004 July 2004 June 2004 May 2004 April 2004 March 2004 February 2004 January 2004 December 2003 November 2003 October 2003 September 2003 August 2003 July 2003 June 2003 May 2003 April 2003 March 2003 February 2003 January 2003 December 2002 for: Digital VersionMENUMENUMENUMENU H1 2022H2 2021H1 20212020 H2 2020H1 2020 2019 Q4 2019 digitalQ3 2019 digitalQ2 2019 digitalQ1 2019 digital 2018 Q4 2018 digitalQ3 2018 digitalQ2 2018 digitalQ1 2018 digital 2017 Q4 2017 digitalQ3 2017 digitalQ2 2017 digitalQ1 2017 digital 2016 Q4 2016 digitalQ3 2016 digitalQ2 2016 digitalQ1 2016 digital 2015 Q4 2015 digitalQ3 2015 digitalQ2 2015 digital 2014 Q4 2014 digitalQ3 2014 digitalQ2 2014 digitalQ1 2014 digital MENUMENUMENUMENU Schedule CallPostal ListEmail List100 Year LibraryAUTOMOTIVE INDUSTRIES Founded 1895, worlds trade magazine covering automotive industry. Start Zoom meeting You missed Engineering Design 3 min read Quectel Announces CV2X Module AG18 Enhance Driving Safety Efficiency 3 mins ago John Larkin Engineering Design 2 min read New RS NRP90SN power sensors RF power measurements groundbreaking 90 GHz 4 mins ago John Larkin Engineering Design 3 min read Electreon Eurovia Demonstrate Dynamic Electric Vehicle Charging German Autobahn 5 mins ago John Larkin Engineering Design 3 min read Electric cars brake reliably LIQUI MOLY 6 mins ago John Larkin About Automotive Industries Ai highvalue sponsorship leadgeneration programs Supplier Network Automotive Industries 100 Year Library Download Ais App for: Share Your News Ai Twitter Linkedin Automotive Industries
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1
4,159
https://www.ajc.com/news/nation-world/facebook-parent-meta-creates-powerful-ai-supercomputer/DIMJFJFBFNE2BM2SBGKPBERGWU/
2022-01-24T00:00:00
en
Facebook parent Meta creates powerful AI supercomputer
Facebook parent Meta creates powerful AI supercomputer 59°Local NewsAtlanta HomicidesAtlanta City HallePaperCOVID-19SportsPress On ePaperNewsAll NewsGeorgia NewsBreaking NewsLocal NewsBusinessEducationWeatherTrafficInspire AtlantaCrime & Public SafetyAtlanta Spa ShootingsNational & World NewsObituariesAJC JobsPoliticsAll PoliticsPolitical InsiderLegislatureElections 2021Inside 2020 ElectionAtlanta City HallNational PoliticsJamie DupreeTake ActionPolitically Georgia PodcastLegislative NavigatorLocal NewsAll County NewsAlpharettaDunwoodyRoswellSandy SpringsIntown AtlantaClayton CountyCobb CountyGwinnett CountyDeKalb CountyNorth Fulton CountySouth Fulton CountyMetro Atlanta Home SalesInvestigationsAll InvestigationsData JournalismUnprotected: Senior CareCensus 2020The Imperfect AlibiDoctors & Sex AbuseAhmaud Arbery VerdictBreakdown PodcastCOVID-19All Coronavirus NewsGa COVID-19 DashboardSchools UpdatesBusiness & Economy UpdatesPeople Helping PeopleRemembering the VictimsNational & Regional NewsCoronavirus Travel NewsOpinionAll OpinionAJC ColumnistsReaders WriteGet SchooledMike LuckovichTorpy at LargePatricia MurphyReal Life with Nedra RhoneAJC Power PollContact the AJC Editorial BoardAccess AtlantaAll Access AtlantaEvents in AtlantaAtlanta Music SceneGeorgia Entertainment SceneFlashback PhotosPuzzles & GamesAccess Atlanta PodcastAJC Peachtree Road RaceAJC Photo GalleriesAJC VideosAll AJC PodcastsFoodAll Food NewsRestaurant NewsFood & RecipesDrink SceneAJC Dining GuideGeorgia on my plateLifeAll LifeAtlanta Living & ArtsPrivate QuartersAtlanta & Railroads: A Shared HistoryTravelHome & GardenUnapologetically ATLAJC SepiaHealthCelebrity BuzzCelebrationsPulseClassifiedsSportsAll SportsAtlanta BravesGeorgia BulldogsAtlanta FalconsGeorgia TechAtlanta UnitedAtlanta HawksAtlanta DreamHigh School SportsState Sports ReportAJC Sports PodcastsAboutHelp CenterAbout the Atlanta Journal-ConstitutionNewsroom Ethics CodeCareersArchivePress OnContact UsContact UsSend a News TipAdvertiseAJC NewsroomOur ProductsePaperNewslettersAll AJC PodcastsDownload iOS AppDownload Android AppSubscriptionPrint SubscriptionDigital SubscriptionManage SubscriptionYour ProfileNIE/Newspapers in Education© 2022 The Atlanta Journal-Constitution. All Rights Reserved. By using this website, you accept the terms of our Visitor Agreement and Privacy Policy, and understand your options regarding Ad Choices.Learn about Careers at Cox Enterprises.Local NewsAtlanta HomicidesAtlanta City HallePaperCOVID-19SportsPress On XFacebook parent Meta creates powerful AI supercomputer National & World News49 minutes agoFacebook's parent company Meta says it has created what it believes is among the fastest artificial intelligence supercomputers running todayMENLO PARK, Calif. (AP) — Facebook’s parent company Meta on Monday said it has created what it believes is among the fastest artificial intelligence supercomputers running today.The social media giant said it hopes the machine will help lay the groundwork for its building of the metaverse, a virtual reality construct intended to supplant the internet as we know it today.Facebook said it believes the computer will be the fastest in the world once it is fully built around the middle of the year.Supercomputers are extremely fast and powerful machines built to do complex calculations not possible with a regular home computer. Meta did not disclose where the computer is located or how much it is costing to build.The computer, which is already up and running but is still being built, is called AI Research SuperCluster. Meta says it will help its AI researchers build “new and better” artificial intelligence models that can learn from “trillions” of examples and work across hundreds of different languages simultaneously and analyze text, images and video together."We hope RSC will help us build entirely new AI systems that can, for example, power real-time voice translations to large groups of people, each speaking a different language, so they can seamlessly collaborate on a research project or play an AR game together," Meta said in a blog post.Editors' PicksThe LatestFeds launch website for claiming part 2 of child tax credit7m agoMLB negotiators meet in person for 1st time since Dec 114m agoSyria Kurdish forces close in on IS-controlled prison wing20m agoInvestigations© 2022 The Atlanta Journal-Constitution. All Rights Reserved. By using this website, you accept the terms of our Visitor Agreement and Privacy Policy, and understand your options regarding Ad Choices.Learn about Careers at Cox Enterprises.AboutHelp CenterAbout the Atlanta Journal-ConstitutionNewsroom Ethics CodeCareersArchivePress OnContact UsContact UsSend a News TipAdvertiseAJC NewsroomOur ProductsePaperNewslettersAll AJC PodcastsDownload iOS AppDownload Android AppSubscriptionPrint SubscriptionDigital SubscriptionManage SubscriptionYour ProfileNIE/Newspapers in Education© 2022 The Atlanta Journal-Constitution. All Rights Reserved. By using this website, you accept the terms of our Visitor Agreement and Privacy Policy, and understand your options regarding Ad Choices.Learn about Careers at Cox Enterprises.Back to Top
Facebook parent Meta creates powerful AI supercomputer
Facebook parent Meta creates powerful AI supercomputer 59Local NewsAtlanta HomicidesAtlanta City HallePaperCOVID19SportsPress On ePaperNewsAll NewsGeorgia NewsBreaking NewsLocal NewsBusinessEducationWeatherTrafficInspire AtlantaCrime Public SafetyAtlanta Spa ShootingsNational World NewsObituariesAJC JobsPoliticsAll PoliticsPolitical InsiderLegislatureElections 2021Inside 2020 ElectionAtlanta City HallNational PoliticsJamie DupreeTake ActionPolitically Georgia PodcastLegislative NavigatorLocal NewsAll County NewsAlpharettaDunwoodyRoswellSandy SpringsIntown AtlantaClayton CountyCobb CountyGwinnett CountyDeKalb CountyNorth Fulton CountySouth Fulton CountyMetro Atlanta Home SalesInvestigationsAll InvestigationsData JournalismUnprotected: Senior CareCensus 2020The Imperfect AlibiDoctors Sex AbuseAhmaud Arbery VerdictBreakdown PodcastCOVID19All Coronavirus NewsGa COVID19 DashboardSchools UpdatesBusiness Economy UpdatesPeople Helping PeopleRemembering VictimsNational Regional NewsCoronavirus Travel NewsOpinionAll OpinionAJC ColumnistsReaders WriteGet SchooledMike LuckovichTorpy LargePatricia MurphyReal Life Nedra RhoneAJC Power Poll AJC Editorial BoardAccess AtlantaAll Access AtlantaEvents AtlantaAtlanta Music SceneGeorgia Entertainment SceneFlashback PhotosPuzzles GamesAccess Atlanta PodcastAJC Peachtree Road RaceAJC Photo GalleriesAJC VideosAll AJC PodcastsFoodAll Food NewsRestaurant NewsFood RecipesDrink SceneAJC Dining GuideGeorgia plateLifeAll LifeAtlanta Living ArtsPrivate QuartersAtlanta Railroads: A Shared HistoryTravelHome GardenUnapologetically ATLAJC SepiaHealthCelebrity BuzzCelebrationsPulseClassifiedsSportsAll SportsAtlanta BravesGeorgia BulldogsAtlanta FalconsGeorgia TechAtlanta UnitedAtlanta HawksAtlanta DreamHigh School SportsState Sports ReportAJC Sports PodcastsAboutHelp CenterAbout Atlanta JournalConstitutionNewsroom Ethics CodeCareersArchivePress On Us UsSend News TipAdvertiseAJC NewsroomOur ProductsePaperNewslettersAll AJC PodcastsDownload iOS AppDownload Android AppSubscriptionPrint SubscriptionDigital SubscriptionManage SubscriptionYour ProfileNIENewspapers Education 2022 The Atlanta JournalConstitution. . By website, accept terms Visitor Agreement , understand options Ad Choices.Learn Careers Cox Enterprises.Local NewsAtlanta HomicidesAtlanta City HallePaperCOVID19SportsPress On XFacebook parent Meta creates powerful AI supercomputer National World News49 minutes agoFacebooks parent company Meta says created believes fastest artificial intelligence supercomputers running todayMENLO PARK, Calif. AP Facebooks parent company Meta Monday said created believes fastest artificial intelligence supercomputers running today.The social media giant said hopes machine help lay groundwork building metaverse, virtual reality construct intended supplant internet know today.Facebook said believes fastest world fully built middle year.Supercomputers extremely fast powerful machines built complex calculations possible regular home computer. Meta disclose located costing build.The computer, running built, called AI Research SuperCluster. Meta says help AI researchers build new better artificial intelligence models learn trillions examples work hundreds different languages simultaneously analyze text, images video together.We hope RSC help build entirely new AI systems can, example, power realtime voice translations large groups people, speaking different language, seamlessly collaborate research project play AR game together, Meta said blog post.Editors PicksThe LatestFeds launch website claiming 2 child tax credit7m agoMLB negotiators meet person 1st time Dec 114m agoSyria Kurdish forces close IScontrolled prison wing20m agoInvestigations 2022 The Atlanta JournalConstitution. . By website, accept terms Visitor Agreement , understand options Ad Choices.Learn Careers Cox Enterprises.AboutHelp CenterAbout Atlanta JournalConstitutionNewsroom Ethics CodeCareersArchivePress On Us UsSend News TipAdvertiseAJC NewsroomOur ProductsePaperNewslettersAll AJC PodcastsDownload iOS AppDownload Android AppSubscriptionPrint SubscriptionDigital SubscriptionManage SubscriptionYour ProfileNIENewspapers Education 2022 The Atlanta JournalConstitution. . By website, accept terms Visitor Agreement , understand options Ad Choices.Learn Careers Cox Enterprises.Back Top
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4,160
https://www.alaskasnewssource.com/prnewswire/2021/11/24/transpara-ai-reads-mammograms-over-two-million-women/
2021-11-24T00:00:00
en
Transpara® AI reads mammograms from over two million women
Transpara® AI reads mammograms from over two million women Skip to contentLiveNewsWeatherSubmit News TipSubmit Photos and VideosContestsShop LocalSearchNewsLocalNationalCoronavirusCrimeEconomyPoliticsEducationCommunityMorning EditionWeatherSky Watch AlaskaWeather HeadlinesWeather LabSportsAthlete Of The WeekFishing ReportIditarodMount MarathonFeaturesTelling Alaska's StoryNourish AlaskaMilitary Holiday GreetingsInside the GatesHealthy LivingRoadtrippin'Breakfast ClubPetsMomsEverydayLivestream NewscastsLive EventsStream Us On VUitConnect With UsSign Up for NewsletterSubmit News TipsSubmit Photos and VideosDownload our AppsCommunity CalendarAdvertise With UsAbout UsMeet the TeamWhat It's Like to Work for KTUUJob OpeningsKTUU Press ReleasesProgramming ScheduleTransmitter FAQContestsFull Court Press with Greta Van SusterenCircle - Country Music & LifestyleGray DC BureauPowerNationInvestigate TVPress ReleasesTranspara® AI reads mammograms from over two million womenA major milestone in the fight against breast cancerPublished: Nov. 24, 2021 at 5:00 AM AKST|Updated: 31 minutes agoCHICAGO, Nov. 24, 2021 /PRNewswire/ -- The Transpara deep learning artificial intelligence (AI) software, which helps radiologists identify breast cancers faster and earlier, has now been used to read over two million mammograms.Transpara, the only deep learning AI system to be FDA cleared for both 2D and 3D mammograms, is now used by hundreds of radiologists in over 25 countries worldwide.In the United States, for example, the system is creating enormous interest among both radiologists and academics.Dr Rachel Brem, Professor of Radiology at The George Washington University School of Medicine and Health Sciences, Washington, DC. said, "I am excited that radiologists are finding more tumors earlier and faster when they use Transpara. It is so important to detect cancer and using Transpara allows for the detection of more and earlier cancers, leading to improved outcomes.""3D mammograms are increasingly the gold standard but they do take longer to read. Having Transpara helps to improve accuracy of radiologists, independent of their experience. This will undoubtedly help with the breast imager shortage in the US and this will not only improve cancer care, but decrease the disparity of care with the increase in breast imaging performance of general radiologists."One of the first radiologists in the US to install Transpara was Dr Daniel Gurell of UDMI. "I could see the potential benefits of using AI for my practice and for my patients and it was a real success. With each release, the Transpara algorithms are continually getting better and better. I use it all the time and won't read another 3D mammogram without it!" said Dr Gurell.The software, which has been developed by scientists at ScreenPoint Medical, in The Netherlands, has created universal interest and its world leading performance has already been the subject of the largest number of peer reviewed papers in breast AI.The unique Transpara algorithm scores mammograms from one to 10; the higher the score the greater the risk of a cancer being present.And at a time when breast cancer cases are rising and with the shortage of breast radiologists, Transpara can act as a "second pair of eyes" to support decision making.Chief Executive and co-founder of ScreenPoint Medical, Professor Nico Karssemeijer, said reaching the two million mammography readings figure was a milestone for the use of artificial intelligence in breast care."We may be at a point when the human eye has reached its limits when trying to identify early cancers. Our algorithms are constantly developing and becoming more and more efficient at finding early cancers. It is our best hope of improving survival rates and the reason we set up this company!"For more information, please visit: www.screenpoint-medical.com.Logo - https://mma.prnewswire.com/media/1582198/ScreenPoint_Medical_Logo.jpgView original content:https://www.prnewswire.com/news-releases/transpara-ai-reads-mammograms-from-over-two-million-women-301431602.htmlSOURCE ScreenPoint MedicalThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsCommunityKTUU501 East 40th AvenueAnchorage, AK 99503(907) 762-9202Public Inspection [email protected] - (907) 762-9202FCC ApplicationsTerms of ServicePrivacy PolicyEEO StatementAdvertisingA Gray Media Group, Inc. Station - © 2002-2021 Gray Television, Inc.
Transpara® AI reads mammograms from over two million women
Transpara AI reads mammograms million women Skip contentLiveNewsWeatherSubmit News TipSubmit Photos VideosContestsShop LocalNewsLocalNationalCoronavirusCrimeEconomyPoliticsEducationCommunityMorning EditionWeatherSky Watch AlaskaWeather HeadlinesWeather LabSportsAthlete Of The WeekFishing ReportIditarodMount MarathonFeaturesTelling Alaskas StoryNourish AlaskaMilitary Holiday GreetingsInside GatesHealthy LivingRoadtrippinBreakfast ClubPetsMomsEverydayLivestream NewscastsLive EventsStream Us On VUitConnect With UsSign Up NewsletterSubmit News TipsSubmit Photos VideosDownload AppsCommunity CalendarAdvertise With UsMeet TeamWhat Its Like Work KTUUJob OpeningsKTUU Press ReleasesProgramming ScheduleTransmitter FAQContestsFull Court Press Greta Van SusterenCircle Country Music LifestyleGray DC BureauPowerNationInvestigate TVPress ReleasesTranspara AI reads mammograms million womenA major milestone fight breast cancerPublished: Nov. 24, 2021 5:00 AM AKSTUpdated: 31 minutes agoCHICAGO, Nov. 24, 2021 PRNewswire The Transpara deep learning artificial intelligence AI software, helps radiologists identify breast cancers faster earlier, read million mammograms.Transpara, deep learning AI FDA cleared 2D 3D mammograms, hundreds radiologists 25 countries worldwide.In United States, example, creating enormous radiologists academics.Dr Rachel Brem, Professor Radiology The George Washington University School Medicine Health Sciences, Washington, DC. said, I excited radiologists finding tumors earlier faster use Transpara. It important detect cancer Transpara allows detection earlier cancers, leading improved outcomes.3D mammograms increasingly gold standard longer read. Having Transpara helps improve accuracy radiologists, independent experience. This undoubtedly help breast imager shortage US improve cancer care, decrease disparity care increase breast imaging performance general radiologists.One radiologists US install Transpara Dr Daniel Gurell UDMI. I potential benefits AI practice patients real success. With release, Transpara algorithms continually getting better better. I use time wont read 3D mammogram said Dr Gurell.The software, developed scientists ScreenPoint Medical, The Netherlands, created universal world leading performance subject largest number peer reviewed papers breast AI.The unique Transpara algorithm scores mammograms 10; higher score greater risk cancer present.And time breast cancer cases rising shortage breast radiologists, Transpara act second pair eyes support decision making.Chief Executive cofounder ScreenPoint Medical, Professor Nico Karssemeijer, said reaching million mammography readings figure milestone use artificial intelligence breast care.We point human eye reached limits trying identify early cancers.Our algorithms constantly developing efficient finding early cancers. It best hope improving survival rates reason set companyFor information, visit: original content: ScreenPoint MedicalThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSportsCommunityKTUU501 East 40th AvenueAnchorage, AK 99503907 7629202Public Inspection Filepublicfile 907 7629202FCC ApplicationsEEO StatementAdvertisingA Gray Media Group, . Station 20022021 Gray Television, .
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KPMG ESTABLISHES NEW AI AND DIGITAL INNOVATION GROUP
KPMG ESTABLISHES NEW AI AND DIGITAL INNOVATION GROUP Skip to contentLiveNewsWeatherFeeding Alaska ProjectPodcastsContestsSubmit News TipSubmit Photos and VideosNewsletterNewsLocalNationalCrimeEconomyPoliticsAnchorage VotesEducationBack to SchoolInvestigativeCommunityRoadtrippin'Morning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaTrafficGas PricesSports907 SportsAlaska's OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonStats & PredictionsHow to WatchFeaturesSeeking ShelterFeeding Alaska ProjectTelling Alaska's StoryIn Depth AlaskaIt's All GoodInside the GatesOutside the GatesWatching Your WalletThe Video VaultFoodChow Down with Guzzy GrubsRoadtrippin'Providence Health MinuteLivestream NewscastsStream Us On VUitPodcastsConnect With UsSign Up for NewsletterSubmit News TipsSubmit Photos and VideosDownload our AppsHow to Watch On-DemandCommunity CalendarAdvertise With UsContestsAbout UsMeet the TeamWhat It's Like to Work for KTUUJob OpeningsKTUU Press ReleasesProgramming ScheduleTransmitter FAQCircle - Country Music & LifestyleGray DC BureauPowerNationInvestigateTVPress ReleasesKPMG ESTABLISHES NEW AI AND DIGITAL INNOVATION GROUPPublished: Sep. 8, 2023 at 4:00 AM AKDT|Updated: 1 hour agoSteve Chase to Serve as Vice ChairNEW YORK, Sept. 8, 2023 /PRNewswire/ -- KPMG LLP, the U.S. audit, tax and advisory firm, announced the establishment of an AI and Digital Innovation group led by a newly named Vice Chair, Steve Chase. This new role gives emerging technology leadership a critical seat at the table on KPMG's Management Committee led by Chair and CEO Paul Knopp.(PRNewsfoto/KPMG LLP)(PRNewswire)KPMG LLP, the U.S. audit, tax and advisory firm, today announced the establishment of an AI and Digital Innovation group led by a new Dallas-based Vice Chair, Steve Chase."AI will be disruptive to KPMG and professional services, to clients across industries and to society more broadly; however, responsible AI also presents tremendous opportunities," said Knopp. "To support our leadership ambitions and unlock the next phase of growth for KPMG and our clients, the new AI and Digital Innovation group will set a firmwide innovation agenda that will enhance how we serve our clients, transform our operations, and create exciting career opportunities for our people – while ensuring we have the right safeguards in place to maintain the trust of our stakeholders."Chase will spearhead efforts to invest in and incubate new services and solutions for clients, integrate emerging technologies into existing services, enable internal transformation and new ways of working, and ensure KPMG maintains leading governance and responsible use programs. He will oversee KPMG's AI Center of Excellence, which will encompass KPMG's extensive AI client services, AI Innovation Lab and responsible use principles and policy, among other programs."Today is a watershed moment for KPMG, and I am honored to take on this new role," Chase said. "We have a world-class team who will accelerate innovation at KPMG, providing urgent and firmwide focus to how we transform KPMG through the systemic adoption of AI, data and emerging technology."Today's announcement builds on a number of other high profile KPMG announcements on AI in recent months.  Initiatives include the rollout of generative AI capabilities to all employees, enabling them to work faster, more efficiently and strategically; and expanded alliances with Google and Microsoft.Chase led KPMG's Consulting practice for the last decade. With Chase's move, Atif Zaim will become the next Consulting Leader for KPMG Advisory. The roles will be effective October 1.About KPMG LLPKPMG LLP is the U.S. firm of the KPMG global organization of independent professional services firms providing audit, tax and advisory services. The KPMG global organization operates in 143 countries and territories and has more than 265,000 people working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.KPMG is widely recognized for being a great place to work and build a career. Our people share a sense of purpose in the work we do, and a strong commitment to community service, inclusion and diversity and eradicating childhood illiteracy. Learn more at www.kpmg.com/us.Contact: Melanie Batley201-419-0677/ [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/kpmg-establishes-new-ai-and-digital-innovation-group-301921210.htmlSOURCE KPMG LLPThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsCommunityKTUU501 East 40th AvenueAnchorage, AK 99503(907) 762-9202Public Inspection [email protected] - (907) 762-9202FCC ApplicationsTerms of ServicePrivacy PolicyEEO StatementAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
KPMG ESTABLISHES NEW AI AND DIGITAL INNOVATION GROUP
KPMG ESTABLISHES NEW AI AND DIGITAL INNOVATION GROUP Skip contentLiveNewsWeatherFeeding Alaska ProjectPodcastsContestsSubmit News TipSubmit Photos VideosNewsletterNewsLocalNationalCrimeEconomyPoliticsAnchorage VotesEducationBack SchoolInvestigativeCommunityRoadtrippinMorning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaTrafficGas PricesSports907 SportsAlaskas OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonStats PredictionsHow WatchFeaturesSeeking ShelterFeeding Alaska ProjectTelling Alaskas StoryIn Depth AlaskaIts All GoodInside GatesOutside GatesWatching Your WalletThe Video VaultFoodChow Down Guzzy GrubsRoadtrippinProvidence Health MinuteLivestream NewscastsStream Us On VUitPodcastsConnect With UsSign Up NewsletterSubmit News TipsSubmit Photos VideosDownload AppsHow Watch OnDemandCommunity CalendarAdvertise With UsContestsMeet TeamWhat Its Like Work KTUUJob OpeningsKTUU Press ReleasesProgramming ScheduleTransmitter FAQCircle Country Music LifestyleGray DC BureauPowerNationInvestigateTVPress ReleasesKPMG ESTABLISHES NEW AI AND DIGITAL INNOVATION GROUPPublished: Sep. 8, 2023 4:00 AM AKDTUpdated: 1 hour agoSteve Chase Serve Vice ChairNEW YORK, Sept. 8, 2023 PRNewswire KPMG LLP, U.S. audit, tax advisory firm, announced establishment AI Digital Innovation group led newly named Vice Chair, Steve Chase. This new role gives emerging technology leadership critical seat table onKPMGs Management Committee led Chair CEO Paul Knopp.PRNewsfotoKPMG LLPPRNewswireKPMG LLP, U.S. audit, tax advisory firm, today announced establishment AI Digital Innovation groupled new Dallasbased Vice Chair, Steve Chase.AI disruptive toKPMG professional services, clients industries society broadly; however, responsible AI presents tremendous opportunities, said Knopp. To support leadership ambitions unlock phase growth KPMG clients, new AI Digital Innovation group set firmwide innovation agenda enhance serve clients, transform operations, create exciting career opportunities people ensuring right safeguards place maintain trust stakeholders.Chase spearhead efforts invest incubate new services solutions clients, integrate emerging technologies existing services, enable internal transformation new ways working, ensure KPMG maintains leading governance responsible use programs. He oversee KPMGs AI Center Excellence, encompass KPMGs extensive AI client services, AI Innovation Lab responsible use principles policy, programs.Today watershed moment KPMG, I honored new role, Chase said. We worldclass team accelerate innovation KPMG, providing urgent firmwide focus transform KPMG systemic adoption AI, data emerging technology.Todays announcement builds number high profile KPMG announcements AI recent months. Initiatives include rollout generative AI capabilities employees, enabling work faster, efficiently strategically; expanded alliances Google andMicrosoft.Chase led KPMGs Consulting practice decade. With Chases move, Atif Zaim Consulting Leader KPMG Advisory. The roles effective October 1.About KPMG LLPKPMG LLP U.S. firm KPMG global organization independent professional services firms providing audit, tax advisory services. The KPMG global organization operates 143 countries territories 265,000 people working member firms world. Each KPMG firm legally distinct separate entity describes such. KPMG International Limited private English company limited guarantee. KPMG International Limited related entities provide services clients.KPMG widely recognized great place work build career. Our people share sense purpose work do, strong commitment community service, inclusion diversity eradicating childhood illiteracy. Learn MelanieBatley2014190677mbatley original content download multimedia: KPMG LLPThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSportsCommunityKTUU501 East 40th AvenueAnchorage, AK 99503907 7629202Public Inspection Filepublicfile 907 7629202FCC ApplicationsEEO StatementAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, .
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2023-08-31T00:00:00
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Baidu and SenseTime launch ChatGPT-style AI bots to the public | Business | albanyherald.com
Baidu and SenseTime launch ChatGPT-style AI bots to the public | Business | albanyherald.com Skip to main content You have permission to edit this article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Albany Herald on Mobile Local Election 2022 World & Nation State Outdoors Pets Breaking News Alerts Newsletters The Street Sports Prep Fantastic Fifteen College Professional Outdoors Newsletters Sports Illustrated Opinion Columnists Squawk of the Day Features Puzzles Celebrities TV News Faith Food/Recipes Health Home & Garden Kitchen Inspections Kids Korner Movies Music Travel Parade Magazine Community GA Wedding Source Local Events Promote Your Event Obituaries Engagements Weddings Anniversaries Births College Notes Marketplace Attractions Services Churches Dining Lodging Retail Classifieds Place ad Legals Housing Jobs Service directory Auto Personals Multimedia Slideshows Video Obituaries e-Edition Help Newsletters & Alerts Subscribe Now - Digital Digital gift subscription Subscribe Now - Print Print gift subscription Cancel Digital Subscription Frequently Asked Questions Web Help Contact Us Weather Privacy Policy Site search Search Subscribe Now! Subscribe now! Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter LinkedIn YouTube Instagram Email iOS App Android App Classifieds Autos Jobs Legals Obituaries e-Edition Local Events Contests Subscribe Now Toggle navigation Site search Search 75° Albany, GA (31701) Today Mostly sunny skies. A stray shower or thunderstorm is possible. High near 90F. Winds E at 5 to 10 mph.. Tonight Partial cloudiness early, with scattered showers and thunderstorms later during the night. Low 74F. Winds E at 5 to 10 mph. Chance of rain 50%. Updated: August 31, 2023 @ 2:09 am Full Forecast Home News Coronavirus Albany Herald on Mobile Local Albany State University news Business Colleges & Universities Education Government Health Military Political Public Safety Election 2022 World & Nation State Outdoors Pets Breaking News Alerts Newsletters The Street Sports Prep Fantastic Fifteen College Albany State Georgia Bulldogs ACC SEC Professional Braves Falcons Hawks Tamp Bay Buccaneers Jacksonville Jaguars Outdoors Newsletters Sports Illustrated Opinion Columnists Bob Kornegay Brad McEwen Carlton Fletcher Creede Hinshaw Dick Yarbrough Georgia Clippings Health & Fitness Jim Hendricks Kevin Sproul Loran Smith Mandy Flynn Mary Braswell Ronda Rich T. Gamble The Old Rocker Syndicated Columnists Squawk of the Day Features Puzzles Celebrities Famous Celebrities Local Celebrities TV News Faith Food/Recipes Health Home & Garden Kitchen Inspections Kids Korner Movies Music Travel Parade Magazine Community GA Wedding Source Local Events Promote Your Event Obituaries Engagements Weddings Anniversaries Births College Notes Marketplace Attractions Services Churches Dining Lodging Retail Classifieds Place ad Legals Housing Jobs Service directory Auto Personals Multimedia Slideshows Video Obituaries e-Edition Help Newsletters & Alerts Subscribe Now - Digital Digital gift subscription Subscribe Now - Print Print gift subscription Cancel Digital Subscription Frequently Asked Questions Web Help Contact Us Weather Privacy Policy Baidu and SenseTime launch ChatGPT-style AI bots to the public By Michelle Toh, CNN Aug 31, 2023 Aug 31, 2023 Updated 6 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Copy article link Save Hong Kong (CNN) — Chinese tech firms Baidu and SenseTime launched their ChatGPT-style AI bots to the public on Thursday, marking a new milestone in the global AI race.Baidu has opened public access to its ERNIE Bot, allowing users to conduct AI-powered searches or carry out an array of tasks, from creating videos to providing summaries of complex documents. × This page requires Javascript. Javascript is required for you to be able to read premium content. Please enable it in your browser settings. kAm%96 ?6HD D6?E :ED D92C6D b]`T 9:896C :? }6H *@C< @? 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E@=5 r}}]k^AmkAm$6?D6%:>6[ H9:49 k2 9C67lQ9EEADi^^HHH]D6?D6E:>6]4@>^6?^?6HD\56E2:=^d``eebhfn42E68@CJx5l`_faQ E2C86ElQ03=2?<QmF?G6:=65k^2m :ED D6CG:46 :? pAC:=[ 92D E@FE65 2 C2?86 @7 762EFC6D[ H9:49 :E D2JD 2==@H FD6CD E@ HC:E6 @C 563F8 4@56 >@C6 677:4:6?E=J @C C646:G6 A6CD@?2=:K65 >65:42= 25G:46 7C@> 2 G:CEF2= 962=E9 4@?DF=E2E:@? 2DD:DE2?E]k^AmkAm%96\r}}\(:C6k^AmkAm™ U2>Aj © a_ab r23=6 }6HD }6EH@C<[ x?4][ 2 (2C?6C qC@D] s:D4@G6CJ r@>A2?J] p== C:89ED C6D6CG65]k^Am Recommended for you +48 PHOTOS: New Albany Tech transportation academy will be named for late President Anthony Parker With the construction of the Dr. Anthony O. Parker Transportation Academy the Albany Technical College family will honor the late president who was enthusiastic about diesel mechanics and other transportation-related instruction while at the helm. The facility is expected to be completed in … Click for more.PHOTOS: New Albany Tech transportation academy will be named for late President Anthony Parker Love 0 Funny 0 Wow 0 Sad 0 Angry 0 Facebook Twitter WhatsApp SMS Email Print Copy article link Save Tags Cnn Alibaba Group Artificial Intelligence Asia Baidu Inc Business And Industry Sectors Business, Economy And Trade China Companies Computer Science And Information Technology Continents And Regions Domestic Alerts Domestic-business Domestic-health And Science Domestic-international News East Asia Iab-artificial Intelligence Iab-business And Finance Iab-computing Iab-industries Iab-technology & Computing Iab-technology Industry International Alerts International-business International-health And Science Openai Technology Trade Computer Science Software The Economy Business Internet Computer Programming Advertising Telecommunications Television Job Market More News Business UBS targets cost cuts of $10 billion as it absorbs Credit Suisse By Hanna Ziady, CNN 32 min ago Business Baidu and SenseTime launch ChatGPT-style AI bots to the public By Michelle Toh, CNNUpdated 6 min ago News Gabon’s military coup has overthrown a powerful political dynasty. Here’s what to know By Jessie Yeung, CNNUpdated 17 min ago News At least 52 dead in South Africa building inferno By Alex Stambaugh and Heather Chen, CNNUpdated 17 min ago Latest from the Albany Herald T. GAMBLE: 'You forgot the ramen noodles?' Priorities, Greg Deadly Idalia weakens to tropical storm but still threatens Georgia and Carolinas with flooding after pummeling parts of Florida Filmmaker will bring award-winning documentary home to Albany for October screenings Sigh of relief: Idalia's impact minimal in Albany area State Community Health Board seeks funding for initiatives Latest News MLB roundup: Astros complete first sweep in Boston UBS targets cost cuts of $10 billion as it absorbs Credit Suisse Baidu and SenseTime launch ChatGPT-style AI bots to the public Gabon’s military coup has overthrown a powerful political dynasty. Here’s what to know » More News Most Popular Articles Images Videos Collections ArticlesHBCU New York Schedule Announced featuring Albany State vs. MorehouseCE Family's Natalie Dixon to enter ministry; owner Jason Wiggins to return as CEOSherwood's Easton Enfinger ties one school record, breaks anotherAt least 7 people hurt in shooting that halted Boston parade, police sayKerfluffle in Camilla: Contempt hearing scheduled for City Council members removed from office in JulyField of candidates grows for Albany City Commission, mayor's racesMaui conspiracy theories are spreading on social media. Why this always happens after a disasterKitchen InspectionsLee County overwhelms Hapeville Charter, 51-14Where Was 'The Ultimatum' Season 2 Filmed? 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Baidu and SenseTime launch ChatGPT-style AI bots to the public
Baidu SenseTime launch ChatGPTstyle AI bots public Business Skip main content You permission edit article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Albany Herald Mobile Local Election 2022 World Nation State Outdoors Pets Breaking News Alerts Newsletters The Street Sports Prep Fantastic Fifteen College Professional Outdoors Newsletters Sports Illustrated Opinion Columnists Squawk Day Features Puzzles Celebrities TV News Faith FoodRecipes Health Home Garden Kitchen Inspections Kids Korner Movies Music Travel Parade Magazine Community GA Wedding Source Local Events Promote Your Event Obituaries Engagements Weddings Anniversaries Births College Notes Marketplace Attractions Services Churches Dining Lodging Retail Classifieds Place ad Legals Housing Jobs Service directory Auto Personals Multimedia Slideshows Video Obituaries eEdition Help Newsletters Alerts Now Digital Digital gift subscription Now Print Print gift subscription Cancel Digital Subscription Frequently Asked Questions Web Help Us Weather Site search Now Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter LinkedIn YouTube Instagram Email iOS App Android App Classifieds Autos Jobs Legals Obituaries eEdition Local Events Contests Now Toggle navigation Site search 75 Albany, GA 31701 Today Mostly sunny skies. A stray shower thunderstorm possible. High near 90F. Winds E 5 10 mph.. Tonight Partial cloudiness early, scattered showers thunderstorms later night. Low 74F. Winds E 5 10 mph. Chance rain 50. Updated: August 31, 2023 @ 2:09 Full Forecast Home News Coronavirus Albany Herald Mobile Local Albany State University news Business Colleges Universities Education Government Health Military Political Public Safety Election 2022 World Nation State Outdoors Pets Breaking News Alerts Newsletters The Street Sports Prep Fantastic Fifteen College Albany State Georgia Bulldogs ACC SEC Professional Braves Falcons Hawks Tamp Bay Buccaneers Jacksonville Jaguars Outdoors Newsletters Sports Illustrated Opinion Columnists Bob Kornegay Brad McEwen Carlton Fletcher Creede Hinshaw Dick Yarbrough Georgia Clippings Health Fitness Jim Hendricks Kevin Sproul Loran Smith Mandy Flynn Mary Braswell Ronda Rich T. Gamble The Old Rocker Syndicated Columnists Squawk Day Features Puzzles Celebrities Famous Celebrities Local Celebrities TV News Faith FoodRecipes Health Home Garden Kitchen Inspections Kids Korner Movies Music Travel Parade Magazine Community GA Wedding Source Local Events Promote Your Event Obituaries Engagements Weddings Anniversaries Births College Notes Marketplace Attractions Services Churches Dining Lodging Retail Classifieds Place ad Legals Housing Jobs Service directory Auto Personals Multimedia Slideshows Video Obituaries eEdition Help Newsletters Alerts Now Digital Digital gift subscription Now Print Print gift subscription Cancel Digital Subscription Frequently Asked Questions Web Help Us Weather Baidu SenseTime launch ChatGPTstyle AI bots public By Michelle Toh, CNN Aug 31, 2023 Aug 31, 2023 Updated 6 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Copy article link Save Hong Kong CNN Chinese tech firms Baidu SenseTime launched ChatGPTstyle AI bots public Thursday, marking new milestone global AI race.Baidu opened public access ERNIE Bot, allowing users conduct AIpowered searches carry array tasks, creating videos providing summaries complex documents. 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Parker Transportation Academy Albany Technical College family honor late president enthusiastic diesel mechanics transportationrelated instruction helm. The facility expected completed Click more.PHOTOS: New Albany Tech transportation academy named late President Anthony Parker Love 0 Funny 0 Wow 0 Sad 0 Angry 0 Facebook Twitter WhatsApp SMS Email Print Copy article link Save Tags Cnn Alibaba Group Artificial Intelligence Asia Baidu Business And Industry Sectors Business, Economy And Trade China Companies Computer Science And Information Technology Continents And Regions Domestic Alerts Domesticbusiness Domestichealth And Science Domesticinternational News East Asia Iabartificial Intelligence Iabbusiness And Finance Iabcomputing Iabindustries Iabtechnology Computing Iabtechnology Industry International Alerts Internationalbusiness Internationalhealth And Science Openai Technology Trade Computer Science Software The Economy Business Internet Computer Programming Advertising Telecommunications Television Job Market More News Business UBS targets cost cuts 10 billion absorbs Credit Suisse By Hanna Ziady, CNN 32 min ago Business Baidu SenseTime launch ChatGPTstyle AI bots public By Michelle Toh, CNNUpdated 6 min ago News Gabons military coup overthrown powerful political dynasty. Heres know By Jessie Yeung, CNNUpdated 17 min ago News At 52 dead South Africa building inferno By Alex Stambaugh Heather Chen, CNNUpdated 17 min ago Latest Albany Herald T. GAMBLE: You forgot ramen noodles? Priorities, Greg Deadly Idalia weakens tropical storm threatens Georgia Carolinas flooding pummeling parts Florida Filmmaker bring awardwinning documentary home Albany October screenings Sigh relief: Idalias impact minimal Albany area State Community Health Board seeks funding initiatives Latest News MLB roundup: Astros complete sweep Boston UBS targets cost cuts 10 billion absorbs Credit Suisse Baidu SenseTime launch ChatGPTstyle AI bots public Gabons military coup overthrown powerful political dynasty. Heres know More News Most Popular Articles Images Videos Collections ArticlesHBCU New York Schedule Announced featuring Albany State vs. MorehouseCE Familys Natalie Dixon enter ministry; owner Jason Wiggins return CEOSherwoods Easton Enfinger ties school record, breaks anotherAt 7 people hurt shooting halted Boston parade, police sayKerfluffle Camilla: Contempt hearing scheduled City Council members removed office JulyField candidates grows Albany City Commission, mayors racesMaui conspiracy theories spreading social media. Why happens disasterKitchen InspectionsLee County overwhelms Hapeville Charter, 5114Where Was The Ultimatum Season 2 Filmed? Images Videos CollectionsPHOTOS: Lee County football Hapeville CharterPHOTOS: Sherwood Middle football vs. Calhoun CountyPHOTOS: Fantastic Fifteen Temirez WilliamsPHOTOS: Dougherty vs. Dooly Co. scrimmagePHOTOS: Mitchell County edges DeerfieldWindsorTerrell Aca. 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"republic", "ofsingapore", "republic", "ofslovakia", "slovak", "islandssomalia", "somali", "republicsouth", "africa", "republic", "ofsouth", "georgia", "south", "sandwich", "islandsspain", "spanish", "statesri", "lanka", "democratic", "socialist", "republic", "ofst", "helenast", "kitts", "nevisst", "luciast", "pierre", "miquelonst", "vincent", "grenadinessudan", "democratic", "republic", "thesuriname", "republic", "ofsvalbard", "jan", "mayen", "kingdom", "ofsweden", "kingdom", "ofswitzerland", "swiss", "arab", "republictaiwan", "province", "united", "republic", "ofthailand", "kingdom", "oftimorleste", "democratic", "republic", "oftogo", "togolese", "republictokelau", "tokelau", "islandstonga", "kingdom", "oftrinidad", "tobago", "republic", "oftunisia", "republic", "ofturkey", "republic", "caicos", "republic", "ofukraineunited", "arab", "emiratesunited", "kingdom", "great", "britain", "irelanduruguay", "eastern", "republic", "bolivarian", "republic", "ofviet", "nam", "socialist", "republic", "ofwallis", "futuna", "islandswestern", "republic", "ofzimbabwe", "whats", "delivery", "address", "copy", "billing", "location", "address", "city", "state", "hampshirenew", "jerseynew", "mexiconew", "yorknorth", "carolinanorth", "islandsouth", "carolinasouth", "west", "ricous", "virgin", "islandsarmed", "forces", "americasarmed", "forces", "pacificarmed", "forces", "europenorthern", "mariana", "islandsmarshall", "islandsamerican", "samoafederated", "states", "canadabritish", "columbia", "canadamanitoba", "canadanew", "brunswick", "canadanova", "scotia", "canadanorthwest", "territories", "canadanunavut", "canadaontario", "canadaprince", "edward", "island", "canadaquebec", "canadayukon", "territory", "canada", "zip", "code", "country", "united", "states", "americaus", "virgin", "islandsunited", "states", "minor", "outlying", "united", "mexican", "statesbahamas", "commonwealth", "thecuba", "republic", "ofdominican", "republichaiti", "republic", "peoples", "socialist", "republic", "ofalgeria", "peoples", "democratic", "republic", "ofamerican", "samoaandorra", "principality", "ofangola", "republic", "territory", "south", "deg", "santigua", "argentine", "commonwealth", "ofaustria", "republic", "ofazerbaijan", "republic", "ofbahrain", "kingdom", "ofbangladesh", "peoples", "republic", "kingdom", "ofbelizebenin", "peoples", "republic", "ofbermudabhutan", "kingdom", "ofbolivia", "republic", "ofbosnia", "republic", "ofbouvet", "island", "bouvetoyabrazil", "federative", "republic", "ofbritish", "indian", "ocean", "territory", "chagos", "virgin", "islandsbrunei", "peoples", "republic", "ofburkina", "fasoburundi", "republic", "ofcambodia", "kingdom", "ofcameroon", "united", "republic", "ofcape", "verde", "republic", "ofcayman", "islandscentral", "african", "republicchad", "republic", "ofchile", "republic", "ofchina", "peoples", "republic", "ofchristmas", "islandcocos", "keeling", "islandscolombia", "republic", "ofcomoros", "union", "thecongo", "democratic", "republic", "ofcongo", "peoples", "republic", "ofcook", "islandscosta", "rica", "republic", "ofcote", "divoire", "ivory", "coast", "republic", "thecyprus", "republic", "ofczech", "republicdenmark", "kingdom", "ofdjibouti", "republic", "ofdominica", "commonwealth", "ofecuador", "republic", "ofegypt", "arab", "republic", "ofel", "salvador", "republic", "ofequatorial", "guinea", "republic", "islandsfalkland", "islands", "malvinasfiji", "republic", "fiji", "islandsfinland", "republic", "offrance", "french", "republicfrench", "guianafrench", "polynesiafrench", "southern", "gabonese", "republicgambia", "republic", "republic", "hellenic", "republic", "ofguinea", "revolutionary", "peoples", "repc", "ofguineabissau", "republic", "ofguyana", "republic", "ofheard", "mcdonald", "islandsholy", "vatican", "city", "statehonduras", "republic", "ofhong", "kong", "special", "administrative", "region", "chinahrvatska", "croatiahungary", "hungarian", "peoples", "republiciceland", "republic", "ofindia", "republic", "ofindonesia", "republic", "ofiran", "islamic", "republic", "ofiraq", "republic", "ofirelandisrael", "state", "ofitaly", "italian", "hashemite", "kingdom", "ofkazakhstan", "republic", "ofkenya", "republic", "ofkiribati", "republic", "ofkorea", "democratic", "peoples", "republic", "ofkorea", "republic", "ofkuwait", "state", "ofkyrgyz", "republiclao", "peoples", "democratic", "lebanese", "republiclesotho", "kingdom", "ofliberia", "republic", "oflibyan", "arab", "principality", "grand", "duchy", "ofmacao", "special", "administrative", "region", "chinamacedonia", "yugoslav", "republic", "ofmadagascar", "republic", "ofmalawi", "republic", "republic", "ofmali", "republic", "ofmalta", "republic", "ofmarshall", "islamic", "republic", "federated", "states", "ofmoldova", "republic", "ofmonaco", "principality", "ofmongolia", "mongolian", "peoples", "kingdom", "ofmozambique", "peoples", "republic", "republic", "ofnepal", "kingdom", "ofnetherlands", "kingdom", "thenew", "caledonianew", "republic", "ofniger", "republic", "thenigeria", "federal", "republic", "ofniue", "republic", "ofnorfolk", "islandnorthern", "mariana", "islandsnorway", "kingdom", "ofoman", "sultanate", "ofpakistan", "islamic", "republic", "territory", "occupiedpanama", "republic", "ofpapua", "new", "guineaparaguay", "republic", "ofperu", "republic", "ofphilippines", "republic", "thepitcairn", "islandpoland", "polish", "peoples", "portuguese", "republicpuerto", "ricoqatar", "state", "socialist", "republic", "ofrussian", "rwandese", "republicsamoa", "independent", "state", "ofsan", "marino", "republic", "ofsao", "tome", "principe", "democratic", "republic", "ofsaudi", "arabia", "kingdom", "ofsenegal", "republic", "ofserbia", "republic", "ofsierra", "leone", "republic", "ofsingapore", "republic", "ofslovakia", "slovak", "islandssomalia", "somali", "republicsouth", "africa", "republic", "ofsouth", "georgia", "south", "sandwich", "islandsspain", "spanish", "statesri", "lanka", "democratic", "socialist", 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https://www.americanbankingnews.com/2022/02/16/vectorspace-ai-vxv-price-reaches-2-60-on-exchanges.html
2022-02-17T00:00:00
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Vectorspace AI (VXV) Price Reaches $2.60 on Exchanges - American Banking News
Vectorspace AI (VXV) Price Reaches $2.60 on Exchanges - American Banking News Skip to main content Home About Newsletter Privacy Contact ☰ Analyst Ratings Dividends Earnings Guidance Highs and Lows IPOS Options SEC Filings Home About Newsletter Privacy Contact Analyst Ratings Dividends Earnings Guidance Highs and Lows IPOS Options SEC Filings Vectorspace AI (VXV) Price Reaches $2.60 on Exchanges Posted by ABMN Staff on Feb 16th, 2022 Share on Twitter Share on Facebook Share on LinkedIn Share on Stocktwits Vectorspace AI (CURRENCY:VXV) traded up 4.1% against the US dollar during the twenty-four hour period ending at 22:00 PM E.T. on February 16th. One Vectorspace AI coin can now be bought for approximately $2.60 or 0.00005922 BTC on exchanges. Vectorspace AI has a market capitalization of $103.61 million and $471,312.00 worth of Vectorspace AI was traded on exchanges in the last 24 hours. In the last seven days, Vectorspace AI has traded down 12.3% against the US dollar. Here is how related cryptocurrencies have performed in the last 24 hours: Get Vectorspace AI alerts: HEX (HEX) traded 0.2% lower against the dollar and now trades at $0.20 or 0.00000451 BTC. Quant (QNT) traded up 1.7% against the dollar and now trades at $130.62 or 0.00297088 BTC. Zilliqa (ZIL) traded up 0.1% against the dollar and now trades at $0.0509 or 0.00000116 BTC. MXC (MXC) traded 4.8% higher against the dollar and now trades at $0.0936 or 0.00000213 BTC. PARSIQ (PRQ) traded down 3.2% against the dollar and now trades at $0.36 or 0.00000822 BTC. DXdao (DXD) traded down 0.3% against the dollar and now trades at $514.17 or 0.01169500 BTC. Earneo (RNO) traded 4.8% lower against the dollar and now trades at $0.0455 or 0.00000103 BTC. Qubitica (QBIT) traded flat against the dollar and now trades at $11.94 or 0.00025016 BTC. Egoras Dollar (EUSD) traded flat against the dollar and now trades at $1.15 or 0.00003616 BTC. Receive Access Ecosystem (RAE) traded down 0.3% against the dollar and now trades at $1.31 or 0.00002984 BTC. Vectorspace AI Profile Vectorspace AI (VXV) is a coin. Vectorspace AI’s total supply is 50,000,000 coins and its circulating supply is 39,799,070 coins. The official website for Vectorspace AI is vectorspace.ai. The Reddit community for Vectorspace AI is https://reddit.com/r/VectorspaceAI and the currency’s Github account can be viewed here. Vectorspace AI’s official Twitter account is @Vectorspace_AI and its Facebook page is accessible here. According to CryptoCompare, “The Vectorspace AI platform enables dynamically generated smart “token baskets” based on user-selected trends that exist in search, social media and news. The reason It has included the word ‘smart’ is based on the ability for these baskets to determine for themselves whether or not to include additional cryptocurrencies or components from related baskets that may increase overall returns. Baskets that interact this way with one another will conduct these kinds of transactions between one another using the Vectorspace utility token, VXV which is also required to dynamically generate baskets. “ Vectorspace AI Coin Trading It is usually not presently possible to purchase alternative cryptocurrencies such as Vectorspace AI directly using US dollars. Investors seeking to acquire Vectorspace AI should first purchase Bitcoin or Ethereum using an exchange that deals in US dollars such as GDAX, Changelly or Gemini. Investors can then use their newly-acquired Bitcoin or Ethereum to purchase Vectorspace AI using one of the aforementioned exchanges. Receive News & Updates for Vectorspace AI Daily - Enter your email address below to receive a concise daily summary of the latest news and updates for Vectorspace AI and related cryptocurrencies with MarketBeat.com's FREE CryptoBeat newsletter. « PREVIOUS HEADLINEBottos Price Hits $0.0007 on Major Exchanges (BTO) You might be interested in: Vectorspace AI Price Reaches $2.60 on Exchanges Curio Governance Price Tops $0.0858 Unisocks Trading 12.6% Lower This Week renBTC Trading Up 0.5% This Week My DeFi Pet Price Tops $0.47 on Major Exchanges Aavegotchi Trading Down 1.9% Over Last 7 Days Daily Ratings & News for Vectorspace AI Complete the form below to receive the latest headlines and analysts' recommendations for Vectorspace AI with our free daily email newsletter: Follow @AmericanBanking Recent News Vectorspace AI (VXV) Price Reaches $2.60 on Exchanges Curio Governance (CGT) Price Tops $0.0858 Unisocks Trading 12.6% Lower This Week (SOCKS) renBTC Trading Up 0.5% This Week (RENBTC) My DeFi Pet Price Tops $0.47 on Major Exchanges (DPET) Aavegotchi Trading Down 1.9% Over Last 7 Days (GHST) Bottos Price Hits $0.0007 on Major Exchanges (BTO) Function X (FX) Reaches One Day Trading Volume of $6.94 Million REPO Price Hits $0.16 on Major Exchanges (REPO) Binamon Price Hits $0.0569 (BMON) SwissBorg (CHSB) Price Reaches $0.59 on Top Exchanges Oxygen Price Reaches $0.57 on Major Exchanges (OXY) OAX (OAX) Price Up 12.2% Over Last Week Castweet (CTT) Price Reaches $0.0952 on Top Exchanges adbank Price Tops $0.0012 on Exchanges (ADB) Sakura Market Capitalization Tops $5.13 Million (SKU) CryptoTycoon Price Reaches $9.10 on Major Exchanges (CTT) Tribe Trading Down 4.7% This Week (TRIBE) Rublix 24 Hour Trading Volume Hits $146.00 (RBLX) uPlexa Reaches Market Cap of $284,326.71 (UPX) Analyst Ratings Dividends Earnings Guidance Highs and Lows IPOS Options SEC Filings © 2018-2022 American Banking News
Vectorspace AI (VXV) Price Reaches $2.60 on Exchanges
Vectorspace AI VXV Price Reaches 2.60 Exchanges American Banking News Skip main content Home About Newsletter Privacy Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings Home About Newsletter Privacy Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings Vectorspace AI VXV Price Reaches 2.60 Exchanges Posted ABMN Staff Feb 16th, 2022 Share Twitter Share Facebook Share LinkedIn Share Stocktwits Vectorspace AI CURRENCY:VXV traded 4.1 US dollar twentyfour hour period ending 22:00 PM E.T. February 16th. One Vectorspace AI coin bought approximately 2.60 0.00005922 BTC exchanges. Vectorspace AI market capitalization 103.61 million 471,312.00 worth Vectorspace AI traded exchanges 24 hours. In seven days, Vectorspace AI traded 12.3 US dollar. Here related cryptocurrencies performed 24 hours: Get Vectorspace AI alerts: HEX HEX traded 0.2 lower dollar trades 0.20 0.00000451 BTC. Quant QNT traded 1.7 dollar trades 130.62 0.00297088 BTC. Zilliqa ZIL traded 0.1 dollar trades 0.0509 0.00000116 BTC. MXC MXC traded 4.8 higher dollar trades 0.0936 0.00000213 BTC. PARSIQ PRQ traded 3.2 dollar trades 0.36 0.00000822 BTC. DXdao DXD traded 0.3 dollar trades 514.17 0.01169500 BTC. Earneo RNO traded 4.8 lower dollar trades 0.0455 0.00000103 BTC. Qubitica QBIT traded flat dollar trades 11.94 0.00025016 BTC. Egoras Dollar EUSD traded flat dollar trades 1.15 0.00003616 BTC. Receive Access Ecosystem RAE traded 0.3 dollar trades 1.31 0.00002984 BTC. Vectorspace AI Profile Vectorspace AI VXV coin. Vectorspace AIs total supply 50,000,000 coins circulating supply 39,799,070 coins. The official website Vectorspace AI vectorspace.ai. The Reddit community Vectorspace AI currencys Github account viewed here. Vectorspace AIs official Twitter account Facebook accessible here. According CryptoCompare, The Vectorspace AI platform enables dynamically generated smart token baskets based userselected trends exist search, social media news. The reason It included word smart based ability baskets determine include additional cryptocurrencies components related baskets increase overall returns. Baskets interact way conduct kinds transactions Vectorspace utility token, VXV required dynamically generate baskets. Vectorspace AI Coin Trading It usually presently possible purchase alternative cryptocurrencies Vectorspace AI directly US dollars. Investors seeking acquire Vectorspace AI purchase Bitcoin Ethereum exchange deals US dollars GDAX, Changelly Gemini. Investors use newlyacquired Bitcoin Ethereum purchase Vectorspace AI aforementioned exchanges. Receive News Updates Vectorspace AI Daily Enter email address receive concise daily summary latest news updates Vectorspace AI related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUS HEADLINEBottos Price Hits 0.0007 Major Exchanges BTO You interested in: Vectorspace AI Price Reaches 2.60 Exchanges Curio Governance Price Tops 0.0858 Unisocks Trading 12.6 Lower This Week renBTC Trading Up 0.5 This Week My DeFi Pet Price Tops 0.47 Major Exchanges Aavegotchi Trading Down 1.9 Over Last 7 Days Daily Ratings News Vectorspace AI Complete form receive latest headlines analysts recommendations Vectorspace AI free daily email newsletter: Follow Recent News Vectorspace AI VXV Price Reaches 2.60 Exchanges Curio Governance CGT Price Tops 0.0858 Unisocks Trading 12.6 Lower This Week SOCKS renBTC Trading Up 0.5 This Week RENBTC My DeFi Pet Price Tops 0.47 Major Exchanges DPET Aavegotchi Trading Down 1.9 Over Last 7 Days GHST Bottos Price Hits 0.0007 Major Exchanges BTO Function X FX Reaches One Day Trading Volume 6.94 Million REPO Price Hits 0.16 Major Exchanges REPO Binamon Price Hits 0.0569 BMON SwissBorg CHSB Price Reaches 0.59 Top Exchanges Oxygen Price Reaches 0.57 Major Exchanges OXY OAX OAX Price Up 12.2 Over Last Week Castweet CTT Price Reaches 0.0952 Top Exchanges adbank Price Tops 0.0012 Exchanges ADB Sakura Market Capitalization Tops 5.13 Million SKU CryptoTycoon Price Reaches 9.10 Major Exchanges CTT Tribe Trading Down 4.7 This Week TRIBE Rublix 24 Hour Trading Volume Hits 146.00 RBLX uPlexa Reaches Market Cap 284,326.71 UPX Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings 20182022 American Banking News
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https://www.anews.com.tr/turkey/2022/12/10/artificial-intelligence-discussed-at-trt-world-forum-2022
2022-12-10T00:00:00
en
Artificial intelligence discussed at TRT World Forum 2022 - anews
Artificial intelligence discussed at TRT World Forum 2022 - anews Contact Us WORLD Africa Americas Asia Australia Europe Middle East Türkiye POLITICS Turkish Politics U.S. Politics European Union Anti-terror fight Islamophobia Diplomacy ECONOMY Tech Business Food Travel SPORTS Football Basketball Tennis Motorsport Others MAGAZINE Celebrities Screen Entertainment Cinema ART HEALTH VIDEOS PHOTOS LIVE TV News Türkiye Artificial intelligence discussed at TRT World Forum 2022 Artificial intelligence discussed at TRT World Forum 2022 Digital media expert and strategist Glen Gilmore told the session titled, "The Global Race for Technological Superiority: Shifting Paradigms in the Age of AI and Cybersecurity," that observers often see the positive use of artificial intelligence such as diagnosing a medical condition. Noting that artificial intelligence offers solutions to people by collecting enormous amounts of data, Gilmore said it can detect and fix a problem before it occurs. Anadolu Agency TÜRKIYE Published December 10,2022 Subscribe A session on artificial intelligence and cyber security was held Friday at the two-day TRT World Forum 2022. Digital media expert and strategist Glen Gilmore told the session titled, "The Global Race for Technological Superiority: Shifting Paradigms in the Age of AI and Cybersecurity," that observers often see the positive use of artificial intelligence such as diagnosing a medical condition. Noting that artificial intelligence offers solutions to people by collecting enormous amounts of data, Gilmore said it can detect and fix a problem before it occurs. But he pointed out that when talking to experts in artificial intelligence, they also say that they do not fully understand how artificial intelligence works and it is something to worry about. He also voiced the need for artificial intelligence to be more transparent. Baher Esmat, Managing Director for the Middle East and Africa, ICANN, said one of the great things about the internet is that it creates opportunities for everyone. Maurizio Geri, strategic analyst and policy advisor, said technology helped many societies develop. Pointing out that artificial intelligence also has an important place in the global power competition, Geri said bureaucracy and military infrastructure should be quickly adapted to technological revolutions. The annual TRT World Forum started Friday in Istanbul. The gathering, which is held under the theme of "Mapping the Future: Uncertainties, Realities and Opportunities," brings together academics, journalists, intellectuals, politicians and members of civil society from around the globe. Nearly 100 speakers and more than 1,000 participants from nearly 40 countries are attending the forum, according to Mehmet Zahid Sobaci, director general of TRT, Türkiye's public broadcaster. The event is being held in person this year after it was held virtually for the past two years because of the coronavirus pandemic. Artificial intelligence TRT World Forum 2022 + A - Greek parliament approves spy operations reforms Turkish FM: No conflict is local in today's chaotic global landscape U.S. sports reporter dies while covering World Cup in Qatar Striking Messages from ''TRT World Forum'' Türkiye urges Russia to fulfill pledges on YPG/PKK terrorists' withdrawal from Syria WORLD POLITICS ECONOMY SPORTS MAGAZINE ART HEALTH VIDEOS PHOTOS LIVE TV Privacy Terms of Conditions Cookies About Us Contact Us Frequencies
Artificial intelligence discussed at TRT World Forum 2022
Artificial intelligence discussed TRT World Forum 2022 anews Us WORLD Africa Americas Asia Australia Europe Middle East Trkiye POLITICS Turkish Politics U.S. Politics European Union Antiterror fight Islamophobia Diplomacy ECONOMY Tech Business Food Travel SPORTS Football Basketball Tennis Motorsport Others MAGAZINE Celebrities Screen Entertainment Cinema ART HEALTH VIDEOS PHOTOS LIVE TV News Trkiye Artificial intelligence discussed TRT World Forum 2022 Artificial intelligence discussed TRT World Forum 2022 Digital media expert strategist Glen Gilmore told session titled, The Global Race Technological Superiority: Shifting Paradigms Age AI Cybersecurity, observers positive use artificial intelligence diagnosing medical condition. Noting artificial intelligence offers solutions people collecting enormous amounts data, Gilmore said detect fix problem occurs. Anadolu Agency TRKIYE Published December 10,2022 A session artificial intelligence cyber security held Friday twoday TRT World Forum 2022. Digital media expert strategist Glen Gilmore told session titled, The Global Race Technological Superiority: Shifting Paradigms Age AI Cybersecurity, observers positive use artificial intelligence diagnosing medical condition. Noting artificial intelligence offers solutions people collecting enormous amounts data, Gilmore said detect fix problem occurs. But pointed talking experts artificial intelligence, fully understand artificial intelligence works worry about. He voiced need artificial intelligence transparent. Baher Esmat, Managing Director Middle East Africa, ICANN, said great things internet creates opportunities everyone. Maurizio Geri, strategic analyst policy advisor, said technology helped societies develop. Pointing artificial intelligence important place global power competition, Geri said bureaucracy military infrastructure quickly adapted technological revolutions. The annual TRT World Forum started Friday Istanbul. The gathering, held theme Mapping Future: Uncertainties, Realities Opportunities, brings academics, journalists, intellectuals, politicians members civil society globe. Nearly 100 speakers 1,000 participants nearly 40 countries attending forum, according Mehmet Zahid Sobaci, director general TRT, Trkiyes public broadcaster. The event held person year held virtually past years coronavirus pandemic. Artificial intelligence TRT World Forum 2022 A Greek parliament approves spy operations reforms Turkish FM: No conflict local todays chaotic global landscape U.S. sports reporter dies covering World Cup Qatar Striking Messages TRT World Forum Trkiye urges Russia fulfill pledges YPGPKK terrorists withdrawal Syria WORLD POLITICS ECONOMY SPORTS MAGAZINE ART HEALTH VIDEOS PHOTOS LIVE TV Privacy Terms Conditions Us Frequencies
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https://www.animenewsnetwork.com/interest/2020-05-12/voice-actress-ai-yamamoto-announces-marriage/.159463
2020-05-12T00:00:00
en
Voice Actress Ai Yamamoto Announces Marriage - Interest - Anime News Network
Voice Actress Ai Yamamoto Announces Marriage - Interest - Anime News Network USA &Canada World USA & Canada Australia & New-Zealand Southeast Asia Français Login forgot it? remember me or Login with Facebook Login with Twitter Register No account yet? Registering is free, easy, and private. Discuss in the forum, contribute to the Encyclopedia, build your own MyAnime lists, and more. × anywhere on the site in the encyclopedia in the forums News News chronological archives 02:02 Live-Action Kyō Kara Ore wa!! 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Registering is free, easy, and private. Discuss in the forum, contribute to the Encyclopedia, build your own MyAnime lists, and more. Interest Voice Actress Ai Yamamoto Announces Marriage posted on 2020-05-12 01:32 EDT by Kim Morrissy Actress played Minami in Pastel Memories, Kasumi in Encouragement of Climb Season 3 Voice actress Ai Yamamoto announced on Twitter on Tuesday that she has married the person whom she has been seeing. In her handwritten message, she said that she will be continuing her work as a voice actor and thanked everyone who supported her. このような時期に私事で大変恐縮ですが、応援してくださる皆様にご報告がございます。 pic.twitter.com/VPiNLBLWJH— 山本亜衣 (@ai_yamamoto_913) May 12, 2020 Yamamoto is best known for playing Minami Senju in Pastel Memories and Kasumi in Encouragement of Climb Season 3. She also played Kokoro Misaki in Amanchu! Advance. [Via Ota-suke] discuss this in the forum (1 post) | bookmark/share with: Interest homepage / archives RightStuf - Anime, Manga and More ⬈ ⬋ - + news 46 comments List of Shows, Films, Manga, Games Affected by COVID-19 (Updated May 12) May 11, 20:42 46 comments covid-19 All of ANN's coverage of works hit by new coronavirus disease ― Here is all of ANN's coverage of the series, films, manga, and games that the new coronavirus disease (COVID-19) has affected. Anime Series A Certain Scientific Railgun T (episode 14 delayed to May 15, with earlier episodes also delayed but rescheduled) Sazae-san (dialogue recording halted) VladLove My Teen Romantic Comedy SNAFU Climax (... news 24 comments Jun Maeda, Key, P.A. Works, Aniplex Announce The Day I Became a God TV Anime for October Premiere May 11, 20:31 24 comments anime Na-Ga designs characters for 3rd anime collaboration between 3 companies ― Key, Aniplex, and P.A Works hosted a livestream presentation on Sunday to announce the new The Day I Became a God (Kami-sama ni Natta Hi) anime project. The original television anime series will premiere in October. 【「神様になった日」制作決定】Key、アニプレックス、https://t.co/6N9WHrtn5g オリジナルアニメーション企画第3弾「神様になった日」制作決定!2020年10月より放送開始!『「Angel Beats!」... review 10 comments High School Prodigies Have It Easy Even In Another World May 11, 18:47 10 comments anime On the whole, this show has some legitimate entertainment value and a few interesting aspects, especially if you can just turn your mind off and roll with the premise. ― Isekai series have to do something special to distinguish themselves in a very crowded field, and this Fall 2019 adaptation of a light novel series does make at least some effort on that front. It is one of the rare isekai series whe... column 38 comments The List - Top 5 CLAMP Anime May 10, 14:00 38 comments anime Creator powerhouse CLAMP has a huge roster of anime adaptations under their belt and there's a little bit of something for everybody, whether you like your anime spooky, apocalyptic, full of giant robots, or magical girls. ― While maybe not as well known today, manga creator group CLAMP was a powerhouse, creating hit after hit series during the 90s and 00s. Before we dive into The List this week, le... feature 55 comments 7 Awesome Anime Moms Who Are Miraculously Still Alive May 10, 13:00 55 comments anime This Mother's Day Lauren Orsini looks at some of the best anime moms the medium has to offer, and not a single death-flag ponytail in sight. ― If being an anime fan has taught me anything about being a mom it's this: don't give birth to a protagonist. The anime mom mortality rate is so disturbingly high that it's incredible I decided to take the risk. Now that my first Mother's Day is rolling around,... news 15 comments List of Current Anime With Completed Productions (Updated May 9) May 9, 08:11 15 comments anime Shows not delayed by COVID-19 so far ― Here is all of ANN's coverage of current anime that have confirmed the completion of production, and have not been delayed due to the new coronavirus disease (COVID-19) so far. The Magnificent KOTOBUKI compilation film (completed dialogue recording) BNA: Brand New Animal (premiered on March 21) Arte (premiered on April 4) Ascendance of a Bookworm (premiered on A... All material Copyright © 1998-2020 Anime News Network. 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Voice Actress Ai Yamamoto Announces Marriage
Voice Actress Ai Yamamoto Announces Marriage Interest Anime News Network USA Canada World USA Canada Australia NewZealand Southeast Asia Franais forgot it? remember Facebook Twitter No account yet? ing free, easy, private. Discuss forum, contribute Encyclopedia, build MyAnime lists, more. site encyclopedia forums News News chronological archives 02:02 LiveAction Ky Kara Ore wa TV Special Casts Yua Shinkawa, Hinako Sakurai 01:02 Woodpecker Detectives Office Anime Casts Sakutar Hagiwaras Real Grandson 00:32 Japan Decides Thursday Whether Partly Lift State Emergency 00:04 Bubble Bobble 4 Friends Game Ships PS4 This Winter May11 Monster Girl Doctor Anime Reveals Theme Song Artists May11 Funimation Adds Remaining Monogatari Series Anime, Kill la Kill, ERASED, Occultic;Nine May11 A Certain Scientific Railgun T Animes Episode 14 Airs May 15 May11 Netflixs JUON: Origins LiveAction Horror Series Debuts Worldwide July 3 May11 Love Romas Toyoda Ends Kongjisan wa Mendkusai Manga 2 Chapters May11 As Miss Beelzebub Likes Mangas matoba Prepares New Work Convention reports chronological archives Oct11 Event Report: Anime Fest 2019 New York ComicCon Apr22 Cosplay Gallery: Anime Boston 2019 Mar22 Live Photos AnimeJapan 2019 Newsfeed Interest chronological archives 01:32 Voice Actress Ai Yamamoto Announces Marriage May11 Doraemon Stay Home Project Delivers Message Hope From Future May11 BanG Dream Sell Reusable Cloth Masks May11 Air Comiket Livestream Accumulates Over 440,000 Views Over 4 Days May11 Pokmon Adventures Manga Artist Apologizes Using Manga Express Political Opinions May 8 Manga Artists Draw Illustrations Culture Magazines Stay Home Issue May 8 Cells Work Characters Fighting Coronavirus Press Releases chronological archives May11 Instagram Live Ask Hikaru PaisenHomequarantine Edition May 17 Show Feature TAKA ONE OK ROCK May11 Manga Planet Licenses Homesha .s Neko Neko Yokochou Titles May 9 VIZ Media Announces Yashahime: Princess HalfDemon, New Animation Inspired Inuyasha May 9 Power Rangers, Neds Declassified, Dragon Prince, Versailles Stars Next Wizard World Virtual Experiences Online Events May 1624 May 8 Scarlet Nexus Announced Xbox Series X, Current Next Gen Home Game Consoles PC May 8 GKIDS Shout Factory Present Promare Collectors Edition Available August 4, 2020 Views Features chronological archives May10 7 Awesome Anime Moms Who Are Miraculously Still Alive May 6 Interview: Crunchyroll Talks What Makes Original May 1 Anime vs. The NES Apr29 Index VS Railgun: Settling Debate Once For All Apr24 The Secrets Final Fantasy VIIs Success Apr22 In World Otome Games, All Routes Lead To Romance Apr15 Interview: APPARERANMAN Director Masakazu Hashimoto Apr 8 How Food Wars Lost Its Flavor Reviews alphabetical archives May11 High School Prodigies Have It Easy Even In Another World May 7 Kaiju Girl Caramelise GN 3 May 6 Outburst Dreamer Boys Episodes 1 11 OVA May 4 Hitchhikers Guide Isekai May 1 Umineko When They Cry Episode 8: Twilight Golden Witch GN 2 Apr30 My Next Life Villainess: All Routes Lead Doom Novel 5 Apr29 86 novel 4 Apr28 number24 1 12 streaming Columns chronological archives May10 The List Top 5 CLAMP Anime May 7 This Week Anime Ghost Shell: SAC_2045 Flipping Insane May 7 This Week Games The Secrets Nintendos Mirror House Cornflakes Apr11 ANNCast Come On And Slam Everything chronological archives Features incl. 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Discuss forum, contribute Encyclopedia, build MyAnime lists, more. Interest Voice Actress Ai Yamamoto Announces Marriage posted 20200512 01:32 EDT Kim Morrissy Actress played Minami Pastel Memories, Kasumi Encouragement Climb Season 3 Voice actress Ai Yamamoto announced Twitter Tuesday married person seeing. In handwritten message, said continuing work voice actor thanked supported her. pic.VPiNLBLWJH May 12, 2020 Yamamoto best known playing Minami Senju Pastel Memories Kasumi Encouragement Climb Season 3. She played Kokoro Misaki Amanchu Advance. [Via Otasuke] discuss forum 1 post bookmarkshare with: Interest home archives RightStuf Anime, MangaandMore news 46 comments List Shows, Films, Manga, Games Affected COVID19 Updated May 12 May 11, 20:42 46 comments covid19 All ANNs coverage works hit new coronavirus disease Here ANNs coverage series, films, manga, games new coronavirus disease COVID19 affected. Anime Series A Certain Scientific Railgun T episode 14 delayed May 15, earlier episodes delayed rescheduled Sazaesan dialogue recording halted VladLove My Teen Romantic Comedy SNAFU Climax ... news 24 comments Jun Maeda, Key, P.A. Works, Aniplex Announce The Day I Became God TV Anime October Premiere May 11, 20:31 24 comments anime NaGa designs characters 3rd anime collaboration 3 companies Key, Aniplex, P.A Works hosted livestream presentation Sunday announce new The Day I Became God Kamisama ni Natta Hi anime project. The original television anime series premiere October. Key 3202010Angel Beats... review 10 comments High School Prodigies Have It Easy Even In Another World May 11, 18:47 10 comments anime On whole, legitimate entertainment value interesting aspects, especially turn mind roll premise. Isekai series special distinguish crowded field, Fall 2019 adaptation light novel series effort front. It rare isekai series whe... column 38 comments The List Top 5 CLAMP Anime May 10, 14:00 38 comments anime Creator powerhouse CLAMP huge roster anime adaptations belt theres little bit everybody, like anime spooky, apocalyptic, giant robots, magical girls. While maybe known today, manga creator group CLAMP powerhouse, creating hit hit series 90s 00s. Before dive The List week, le... feature 55 comments 7 Awesome Anime Moms Who Are Miraculously Still Alive May 10, 13:00 55 comments anime This Mothers Day Lauren Orsini looks best anime moms medium offer, single deathflag ponytail sight. If anime fan taught mom this: dont birth protagonist. The anime mom mortality rate disturbingly high incredible I decided risk. Now Mothers Day rolling around,... news 15 comments List Current Anime With Completed Productions Updated May 9 May 9, 08:11 15 comments anime Shows delayed COVID19 far Here ANNs coverage current anime confirmed completion production, delayed new coronavirus disease COVID19 far. The Magnificent KOTOBUKI compilation film completed dialogue recording BNA: Brand New Animal premiered March 21 Arte premiered April 4 Ascendance Bookworm premiered A... All material 19982020 Anime News Network. . served moekachan Report Problem News News Convention reports Newsfeed Interest Press Releases Views Views Features Reviews Columns New Anime Your Score Recent Simulcasts Upcoming Anime List Upcoming DVD BluRay Weekly Rankings Spring 2020 Preview Guide Daily Streaming Reviews Encyclopedia Forum My ANN My ANN My Anime My Manga About Our Team Staff openings Privacy policy policy Advertise ANN FAQ Report Problem Bugs Technical Questions Forum
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https://www.apr.org/politics-government/politics-government/2023-05-09/what-if-ai-could-rebuild-the-middle-class
2023-05-09T00:00:00
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What if AI could rebuild the middle class? | Alabama Public Radio
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How to use Smart Speakers Funding FAQs People Board of Trustees CPB Annual Financial Reports Financial Statements FCC Public Inspection Files EEO Reports CPB Local Content and Service Reports Community Diversity Contact Us Coverage Map Digital Media CenterBryant-Denny Stadium, Gate 61920 Paul Bryant DriveTuscaloosa, AL 35487-0370(800) 654-4262© 2023 Alabama Public Radio Menu Show Search Search Query Donate/Portal Play Live Radio Next Up: 0:00 0:00 Available On Air Stations On Air Now Playing APR News & Classics On Air Now Playing UA-Info/Xponential Radio On Air Now Playing Classical Music All Streams News Latest APR News Mobile StoryCorps APR Reports Arts & Life Business & Education Politics & Government Science & Health Latest APR News Mobile StoryCorps APR Reports Arts & Life Business & Education Politics & Government Science & Health Music All Classical HD 3 Music Programs All Things Acoustic Bama Bluegrass Classical Music with David Duff Getting Sentimental Over You Something Old, Something New The Crooners All Classical HD 3 Music Programs All Things Acoustic Bama Bluegrass Classical Music with David Duff Getting Sentimental Over You Something Old, Something New The Crooners Schedule Daily Schedule Weekly Schedule All Programs on APR Holiday Program Schedule Daily Schedule Weekly Schedule All Programs on APR Holiday Program Schedule Events Events Calendar Submission Guidelines Events Calendar Submission Guidelines Support APR Pledge Now Employer Matching Contribution Learn More Monthly Memberships Donate Your Car Underwriting & Business Support Current Underwriters Planned Giving Donate Stock Pledge Now Employer Matching Contribution Learn More Monthly Memberships Donate Your Car Underwriting & Business Support Current Underwriters Planned Giving Donate Stock About Us Who Are We? How to use Smart Speakers Funding FAQs People Board of Trustees CPB Annual Financial Reports Financial Statements FCC Public Inspection Files EEO Reports CPB Local Content and Service Reports Community Diversity Contact Us Who Are We? How to use Smart Speakers Funding FAQs People Board of Trustees CPB Annual Financial Reports Financial Statements FCC Public Inspection Files EEO Reports CPB Local Content and Service Reports Community Diversity Contact Us Coverage Map WAPR is currently on low power. Thank you for your patience while we look into the issue. Politics & Government What if AI could rebuild the middle class? By Greg Rosalsky Published May 9, 2023 at 5:30 AM CDT Facebook Twitter LinkedIn Email Mohamed Hassan / Pixabay We are witnessing a technological revolution unfolding in real time. The rise of smart machines opens up some scary possibilities; for our economy, for our democracy, even, in the most catastrophic scenarios, for our continued existence as a species. But, if we get our act together, the age of Artificial Intelligence could be one in which we rebuild the middle class, says MIT's David Autor, one of the top labor economists in the world. Autor sees a potential future where we harness the power of AI to create a whole bunch of good jobs for people who have been left behind over the last few decades. Even in this cheery scenario, AI will profoundly disrupt the job market. But, Autor says, with concerted efforts and smart policies, we can bring the dream of a more prosperous and more equal economy into reality. For the last four decades, technology has been mostly a force for greater inequality. Since the 1990s, Autor and his colleagues have uncovered a mountain of evidence about this. Autor calls it "job polarization." Basically, computers have been great for the jobs of high-income, college-educated workers, but not so great for the jobs of everyone else. Autor's research suggests that computers killed a range of jobs in manufacturing and offices that once provided solid opportunities to Americans without a college degree. But new empirical evidence suggests that the age of AI could be different. It poses the possibility that, instead of highly skilled and college-educated workers reaping most of the benefits from the assistance of smart machines, it could be the less skilled and non-college-educated who get the biggest boost. Autor is hopeful that, with the right policies to prepare and assist Americans to succeed in this new AI economy, we could make a wider array of workers much better at a whole range of jobs, lowering barriers to entry and creating new opportunities. "Let's use AI to reinstate the middle class," Autor declares. It could be a rallying cry for this new technological era. When Technology Was A Force For Equality Technological change was not always a force for greater inequality. In fact, Autor says, technology once provided a significant boost for creating and expanding the middle class. But, it's worth noting, that story began with disruption and misery. And it's possible that, even in the happy economic future that Autor envisions, things will proceed in a similar way. Prior to the Industrial Revolution, skilled artisans were the masters of production. These workers made a relatively good living making products, like textiles and tools, largely with their own hands. Then came the age of machines and factories, and many artisans saw their livelihoods obliterated. Quite infamously, in 1811, the so-called "Luddites," a group of disgruntled artisans in Britain, began sabotaging the textile machines they were being forced to compete with. These machines made the textile industry much more productive; made textile manufacturing much easier to do; and made clothing cheaper for the masses, thereby increasing living standards for society. The Luddites, with their old-school way of making things, couldn't compete, and their prosperity fell. "The Luddites rose up for a reason," Autor says. "Their work was being devalued." The machine-enabled factory jobs that replaced artisanal work paid less. But, over time, manufacturing jobs got better, especially as newly electrified factories began producing more complicated gadgets and machines, like automobiles. The technology used in this production was expensive and using it required a specific skill set. Titans of industry learned that it was best to pay a good wage to ensure they recruited and retained a skilled workforce. The skills these workers needed did not require a college education, but they were valuable nonetheless. In the industrial era, many Americans, even if they didn't necessarily excel at school, could find good jobs doing what Autor calls "middle-skill work." These were jobs that required workers to know how to read, do basic math, and possess other skills, but they didn't need the type of elite skills typically acquired through years of education. Workers doing middle-skill jobs usually followed formal instructions, like "insert this widget here and turn twice" or "take all our receipts, create a document tracking them with this typewriter, and then add them all up." Middle-skill jobs were commonly found in places like factory floors, or in offices, doing bookkeeping, compiling paper records, calling suppliers and clients on the telephone. And it turned out that they paid relatively well. It's why, Autor says, "The industrial era helped really grow the middle class." During this era, Autor says, technology was a force for equality. It created a demand for a kind of valuable work that a wide spectrum of society could do. "It gave us this tailwind, a way of organizing work that could make very productive use of people who had only a high school education," Autor says. "Most people didn't need a college degree to be successful in the type of work and provide the type of expertise that was demanded in that time." But it wasn't just technology, of course, that enabled this economy with more widely shared prosperity to come into being. There were political and institutional factors that helped as well, especially, Autor says, public investments in universal K-12 education, which helped prepare kids to enter growing sectors of the economy. Computers Reboot The Labor Market The age of the personal computer proved to be unlike the industrial era that preceded it. Technologies like electricity, plumbing, conveyor belts, manufactured gadgets, gizmos, and machines of all sorts had been a boon for creating good jobs for a wide range of Americans — even those who weren't bookish, studious, or exceptionally gifted. Computers, however, proved to be largely a bust for them. Autor's research finds that it was mainly elite, college-educated workers who reaped most of the benefits. "The computer era actually devalued mass expertise and created massively amplified demand for elite expertise," Autor says. The work of lawyers, doctors, Wall Street traders, corporate executives, professionals of all stripes — so-called "knowledge workers" — became much more productive and valuable with computers. They benefited tremendously from being able to send emails, create digital spreadsheets, search the Internet, create new apps, trade stocks and information instantaneously all over the world. Computers profoundly enhanced this elite group's ability to do their jobs, and because their jobs required years of education and hard-to-get knowledge and skills, the influx of other people to do them was relatively slow. That meant these professionals just kept getting paid better and better. Meanwhile, jobs on the lower end of the pay spectrum, for janitors, fast food cooks, cashiers, dishwashers, security guards, and so on, continued to grow a bunch — but they did not see the same work benefits from new technology. Even worse, many of those "middle-skill" jobs — the ones created in industrial era that helped build the middle class — were killed off by new technology. Many jobs in manufacturing were taken over by robots. Other coveted jobs in offices — jobs that once enabled non-college-educated workers to get their foot in the door at profitable companies — were automated away by computer software. Many of these workers were forced out of well-paying occupations and into lower-paying ones in the service industry. Almost a decade ago, Autor wrote an influential paper that argued that a central reason for this "polarization" was what computers could and could not do. Computers — at the time — could only be programmed to do tasks with explicit, step-by-step instructions or formal rules. That, unfortunately, still put many middle-skill jobs on the chopping block — because many of these jobs did exactly what computers and robots could do. They followed formal rules. Whether it was on an assembly line or doing a lot of clerical work in offices, many of these tasks could be broken down into step-by-step procedures that machines could be programmed to do. And, so, many of them got automated away, and the workers who held those jobs were forced into lower-paying occupations. But while Autor saw computers as a major contributor to rising inequality, he was bullish on the future of job growth. He didn't think most jobs were going to get automated away. That's because he saw the limitations of computers as a kind of big security fence protecting a whole range of jobs at both the upper and lower ends of the labor market. Computers could not do things like reasoning, decision-making, abstract thinking, problem-solving, or creativity — which meant that most high-paying, college-educated jobs were safe for the time being. Even better, the stuff that computers could do enhanced — or, in econ jargon, "complemented" — the work of highly skilled workers, allowing them to specialize and get better at their bread-and-butter skills. At the same time, computer technology couldn't do a lot of the jobs on the low end. They didn't have people skills. They couldn't deliver a latte or a meal with a smile. Despite continual advances, robots couldn't do most manual tasks like cleaning or building various kinds of stuff. Even when robots could be used to build stuff, they were expensive and needed to be programmed with step-by-step instructions in very controlled environments, like a precisely engineered assembly line. Autor called this gigantic fence protecting jobs "Polanyi's Paradox," a reference to a brilliant Hungarian-British scholar and philosopher Michael Polanyi. Polanyi wrote a book called The Tacit Dimension, which observed that, in Autor's words, "We know more than we can tell." That is, we understand how to do a lot of stuff — like ride a bicycle, use a hammer, clean a toilet, make a sarcastic joke, recognize the face of people we haven't seen in decades — but, if asked, it'd be super hard to write down step-by-step instructions and procedures how to do these things. "The reason I invoked Polanyi in that paper was to make the observation that — at that time — to automate something using computers, you needed to understand it explicitly, not just tacitly, because you needed to write a program that a non-sentient, non-creative, non-problem solving machine could execute all the steps, without much human input," Autor says. "Computers couldn't improvise, couldn't figure something out on its own." The Rise Of AI When Autor wrote his influential paper a decade ago, machine learning, the foundation for modern AI systems, was only in its infancy. And, back then, there was a raging debate about how much these new AI systems would eventually be able to do, especially since they don't seem to work the way our brains work. These systems essentially crunch a bunch of data and then learn patterns and associations that they can replicate and remix. They don't reason, at least in the way we've traditionally thought reasoning works. But, even a decade ago, Autor and his colleagues foresaw that machine learning was capable of doing things that traditional computer programs could not do. "It overcomes Polanyi's Paradox," Autor says. In other words, humans don't have to write down procedures for AI to do stuff. You don't have to program them with step-by-step instructions. You just feed them a bunch of data, and they're off to the races. Over the last few years — and especially in the last few months — it's turned out that these pattern-recognizing machines are capable of incredible feats. They're now, for example, doing things like translating images of brain activity into words, in effect, reading our minds. Even some of the best computer and brain scientists are struggling to figure out how they're doing stuff like this. Now, instead of struggling to program machines to do stuff, we're struggling to figure out how machines are doing the stuff they're doing. "So this is what I now call 'Polanyi's Revenge,'" Autor says. "Now computers tacitly understand all kinds of stuff that they can't explain to us." So, yes, Autor believes we're in a new technological era. The era of smart machines. Computers can now jump that security fence protecting a whole range of jobs, that bright line separating what computers could do and what humans could do. And we're now watching the unfolding of a new era where there's a lot of uncertainty over what's going to happen. The Happy Scenario Let's start with the happy potential future: AI doesn't completely erase our comparative advantages as human beings; rather, it mostly just enhances our ability to do things. If that's the case, Autor sees a real possibility that this new technological era could unfold similarly to the industrial era. It may begin with disruption and misery for some elite workers, as it did for artisans. But that process could also make our economy more productive, products and services cheaper, our living standards higher, and — if we pursue the right policies — it could make a whole bunch of people without a college education much more capable of doing a whole range of valuable jobs. Autor's optimistic vision has some early evidence supporting it. Over the last few months, there have been two empirical studies of the economic effects of AI that suggest it makes lower-skilled workers much better at their jobs and has an equalizing effect in the labor market. One study, which we wrote about in the Planet Money newsletter last week, showed that less experienced, lower-skilled customer service representatives saw big gains in their job performance after their company introduced an AI chatbot to help them with their work. More experienced, higher-skilled reps saw little or no benefit. Another study, which Autor brought to our attention, showed something similar. Two of Autor's students at MIT conducted an experiment in which ChatGPT helped people do various writing tasks. They found that less-skilled writers ended up getting much better at writing, while high-skilled workers saw some but lesser benefit. As a result, inequality between the workers decreased. If the findings in these studies can be replicated and built upon across the economy, that creates a whole bunch of opportunities. Autor imagines an economy, where, assisted by AI, a wider range of workers could do the kind of work that's currently being done by the upper echelon of the labor force. "The good scenario is one where AI makes elite expertise cheaper and more accessible," Autor says. "All of a sudden, these workers can summarize the literature, write a decent document, organize a schedule, do medical analysis, design a product, figure out a route, maybe even fly a plane." In other words, jobs that are currently reserved for more elite workers could be done with lower-skilled workers now that smart machines can help them. That not only could make products and services cheaper, it could open up ladders of opportunity for more people. But, Autor says, we'll need to retool our education system to help make this a reality, enabling people to gain "foundational skills" for various industries and teaching them how to effectively use this new technology. He sees a parallel in the industrial era, when universal K-12 education helped prepare a wide array of Americans for industrial jobs. Autor says we'll also need other policies, from the government, businesses, universities, nonprofits, to help bring this world into being. "Basically, the middle-skilled workers of the future could be people who have foundational skills in healthcare, in the trades, in travel and services," Autor says. Then, with the help of AI, they could get really good at these jobs. Of course, even in this rosy scenario, the expertise of some high-paid professionals would be devalued because they'll face new competition from AI-enhanced newcomers. But Autor imagines this happening gradually. "I don't think they're all gonna be just like thrown out the top floor of office buildings," Autor says. This scenario, Autor says, could also have another potential benefit: "In the long run, it means fewer people have to go to college, which is expensive." The Bad Scenarios The worst scenario of all is if AI becomes sentient and kills us all. Or, more likely, as Autor says, "we use AI to kill each other." Some leading technologists are actually worried that AI poses an existential threat to us, so let's not just laugh that possibility off. Autor himself is worried that AI could possibly empower nefarious actors, be used to spread misinformation, hijack our critical systems, and/or create a whole host of security threats. But — ahem — putting existential threats aside, there are also some bad economic scenarios. It's possible that AI actually ends up radically increasing inequality. It could make the owners of the supercomputers behind AI systems insanely rich. It could empower all sorts of business owners to replace their workers with machines. It could erase most of our comparative advantages as human beings and make all but some workers in various industries obsolete, leaving only superstars, those with seniority, or those with connections to do those jobs. "I don't wanna rule it out," Autor says. "I mean, you can imagine a world where you just need a few super experts overseeing everything and everything else is done by machines." In that world, we would need to completely rethink how our society functions, what we do with our time, and how income is distributed. But, Autor says, he sees important reasons why these bad scenarios are unlikely, at least across the entire economy, and anytime soon. Why The Happier Scenario Is More Likely Than The Bad Scenarios First of all, AI still lags far behind humans in many realms. We still possess plenty of capabilities, talents, and skills that these machines cannot match. "First of all, we live in the physical world, which most machines do not," Autor says. "There's all kinds of things that we can do with our hands and our bodies and our faces, and so that machines are not at the moment doing." More than that, Autor says, we still have brains that outmatch computers in many ways. We are "more adaptive problem solvers," Autor says. "We have much more common sense, and, of course, we're much better at relating to other people. And we're more creative. I don't think we've been surpassed in many realms. In some we will be surpassed quickly, but some we will not be." Even more, Autor says, we are actually living in a period where the problem is we don't have enough people to do jobs, not that there are too few jobs for people to do. Our fertility rates have plummeted. Our population is getting older and retiring. Immigration has radically slowed. "The US population is growing at its slowest rate since the founding of the nation," Autor says. Many other countries are seeing a similar demographic crunch. "And that's a world where we actually need a lot more automation to enable us to do the things we need to do, including care for the elderly," Autor says. "So I'm not worried about us running out of work and running out of jobs to do." Autor says his biggest fears at the moment are actually that AI could be used to build smart weapons, spread misinformation, have us further question truth and reality with fake videos, images, and recordings, and endanger our peace and security. "In my mind, I actually think the irony is that the labor market is the least scary part of this at the moment," Autor says. "I'm actually much more scared about the impact of AI on everything else." Copyright 2023 NPR. To see more, visit https://www.npr.org. Tags Politics & Government NPR World NewsNPR Top StoriesNPR National News Facebook Twitter LinkedIn Email Greg Rosalsky Since 2018, Greg Rosalsky has been a writer and reporter at NPR's Planet Money. See stories by Greg Rosalsky News from Alabama Public Radio is a public service in association with the University of Alabama. We depend on your help to keep our programming on the air and online. Please consider supporting the news you rely on with a donation today. Every contribution, no matter the size, propels our vital coverage. Thank you. Donate Stay Connected instagram facebook Digital Media CenterBryant-Denny Stadium, Gate 61920 Paul Bryant DriveTuscaloosa, AL 35487-0370(800) 654-4262© 2023 Alabama Public Radio Resources > About APR Contact Us Careers APR Mobile App > Apple devices Android devices
What if AI could rebuild the middle class?
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How use Smart Speakers Funding FAQs People Board Trustees CPB Annual Financial Reports Financial Statements FCC Public Inspection Files EEO Reports CPB Local Content Service Reports Community Diversity Us Who Are We? How use Smart Speakers Funding FAQs People Board Trustees CPB Annual Financial Reports Financial Statements FCC Public Inspection Files EEO Reports CPB Local Content Service Reports Community Diversity Us Coverage Map WAPR currently low power. Thank patience look issue. Politics Government What AI rebuild middle class? By Greg Rosalsky PublishedMay 9, 2023 5:30 AM CDT Facebook Twitter LinkedIn Email Mohamed Hassan Pixabay We witnessing technological revolution unfolding real time. The rise smart machines opens scary possibilities; economy, democracy, even, catastrophic scenarios, continued existence species. But, act together, age Artificial Intelligence rebuild middle class, says MITs David Autor, labor economists world. Autor sees potential future harness power AI create bunch good jobs people left decades. Even cheery scenario, AI profoundly disrupt job market. But, Autor says, concerted efforts smart policies, bring dream prosperous equal economy reality. For decades, technology force greater inequality. Since 1990s, Autor colleagues uncovered mountain evidence this. Autor calls job polarization. Basically, computers great jobs highincome, collegeeducated workers, great jobs else. Autors research suggests computers killed range jobs manufacturing offices provided solid opportunities Americans college degree. But new empirical evidence suggests age AI different. It poses possibility that, instead highly skilled collegeeducated workers reaping benefits assistance smart machines, skilled noncollegeeducated biggest boost. Autor hopeful that, right policies prepare assist Americans succeed new AI economy, wider array workers better range jobs, lowering barriers entry creating new opportunities. Lets use AI reinstate middle class, Autor declares. It rallying new technological era. When Technology Was A Force For Equality Technological change force greater inequality. In fact, Autor says, technology provided significant boost creating expanding middle class. But, worth noting, story began disruption misery. And possible that, happy economic future Autor envisions, things proceed similar way. Prior Industrial Revolution, skilled artisans masters production. These workers relatively good living making products, like textiles tools, largely hands. Then came age machines factories, artisans saw livelihoods obliterated. Quite infamously, 1811, socalled Luddites, group disgruntled artisans Britain, began sabotaging textile machines forced compete with. These machines textile industry productive; textile manufacturing easier do; clothing cheaper masses, increasing living standards society. The Luddites, oldschool way making things, compete, prosperity fell. The Luddites rose reason, Autor says. Their work devalued. The machineenabled factory jobs replaced artisanal work paid less. But, time, manufacturing jobs got better, especially newly electrified factories began producing complicated gadgets machines, like automobiles. The technology production expensive required specific skill set. Titans industry learned best pay good wage ensure recruited retained skilled workforce. The skills workers needed require college education, valuable nonetheless. In industrial era, Americans, didnt necessarily excel school, good jobs Autor calls middleskill work. These jobs required workers know read, basic math, possess skills, didnt need type elite skills typically acquired years education. Workers middleskill jobs usually followed formal instructions, like insert widget turn twice receipts, create document tracking typewriter, add up. Middleskill jobs commonly places like factory floors, offices, bookkeeping, compiling paper records, calling suppliers clients telephone. And turned paid relatively well. Its why, Autor says, The industrial era helped grow middle class. During era, Autor says, technology force equality. It created demand kind valuable work wide spectrum society do. It gave tailwind, way organizing work productive use people high school education, Autor says. Most people didnt need college degree successful type work provide type expertise demanded time. But wasnt technology, course, enabled economy widely shared prosperity come being. There political institutional factors helped well, especially, Autor says, public investments universal K12 education, helped prepare kids enter growing sectors economy. Computers Reboot The Labor Market The age personal proved unlike industrial era preceded it. Technologies like electricity, plumbing, conveyor belts, manufactured gadgets, gizmos, machines sorts boon creating good jobs wide range Americans werent bookish, studious, exceptionally gifted. Computers, however, proved largely bust them. Autors research finds mainly elite, collegeeducated workers reaped benefits. The era actually devalued mass expertise created massively amplified demand elite expertise, Autor says. The work lawyers, doctors, Wall Street traders, corporate executives, professionals stripes socalled knowledge workers productive valuable computers. They benefited tremendously able send emails, create digital spreadsheets, search Internet, create new apps, trade stocks information instantaneously world. Computers profoundly enhanced elite groups ability jobs, jobs required years education hardtoget knowledge skills, influx people relatively slow. That meant professionals kept getting paid better better. Meanwhile, jobs lower end pay spectrum, janitors, fast food cooks, cashiers, dishwashers, security guards, on, continued grow bunch work benefits new technology. Even worse, middleskill jobs ones created industrial era helped build middle class killed new technology. Many jobs manufacturing taken robots. Other coveted jobs offices jobs enabled noncollegeeducated workers foot door profitable companies automated away software. Many workers forced wellpaying occupations lowerpaying ones service industry. Almost decade ago, Autor wrote influential paper argued central reason polarization computers do. Computers time programmed tasks explicit, stepbystep instructions formal rules. That, unfortunately, middleskill jobs chopping block jobs exactly computers robots do. They followed formal rules. Whether assembly line lot clerical work offices, tasks broken stepbystep procedures machines programmed do. And, so, got automated away, workers held jobs forced lowerpaying occupations. But Autor saw computers major contributor rising inequality, bullish future job growth. He didnt think jobs going automated away. Thats saw limitations computers kind big security fence protecting range jobs upper lower ends labor market. Computers things like reasoning, decisionmaking, abstract thinking, problemsolving, creativity meant highpaying, collegeeducated jobs safe time being. Even better, stuff computers enhanced or, econ jargon, complemented work highly skilled workers, allowing specialize better breadandbutter skills. At time, technology lot jobs low end. They didnt people skills. They deliver latte meal smile. Despite continual advances, robots manual tasks like cleaning building kinds stuff. Even robots build stuff, expensive needed programmed stepbystep instructions controlled environments, like precisely engineered assembly line. Autor called gigantic fence protecting jobs Polanyis Paradox, reference brilliant HungarianBritish scholar philosopher Michael Polanyi. Polanyi wrote book called The Tacit Dimension, observed that, Autors words, We know tell. That is, understand lot stuff like ride bicycle, use hammer, clean toilet, sarcastic joke, recognize face people havent seen decades but, asked, itd super hard write stepbystep instructions procedures things. The reason I invoked Polanyi paper observation time automate computers, needed understand explicitly, tacitly, needed write program nonsentient, noncreative, nonproblem solving machine execute steps, human input, Autor says. Computers improvise, figure own. The Rise Of AI When Autor wrote influential paper decade ago, machine learning, foundation modern AI systems, infancy. And, then, raging debate new AI systems eventually able do, especially dont work way brains work. These systems essentially crunch bunch data learn patterns associations replicate remix. They dont reason, way weve traditionally thought reasoning works. But, decade ago, Autor colleagues foresaw machine learning capable things traditional programs do. It overcomes Polanyis Paradox, Autor says. In words, humans dont write procedures AI stuff. You dont program stepbystep instructions. You feed bunch data, theyre races. Over years especially months turned patternrecognizing machines capable incredible feats. Theyre now, example, things like translating images brain activity words, effect, reading minds. Even best brain scientists struggling figure theyre stuff like this. Now, instead struggling program machines stuff, struggling figure machines stuff theyre doing. So I Polanyis Revenge, Autor says. Now computers tacitly understand kinds stuff explain us. So, yes, Autor believes new technological era. The era smart machines. Computers jump security fence protecting range jobs, bright line separating computers humans do. And watching unfolding new era theres lot uncertainty whats going happen. The Happy Scenario Lets start happy potential future: AI doesnt completely erase comparative advantages human beings; rather, enhances ability things. If thats case, Autor sees real possibility new technological era unfold similarly industrial era. It begin disruption misery elite workers, artisans. But process economy productive, products services cheaper, living standards higher, pursue right policies bunch people college education capable range valuable jobs. Autors optimistic vision early evidence supporting it. Over months, empirical studies economic effects AI suggest makes lowerskilled workers better jobs equalizing effect labor market. One study, wrote Planet Money newsletter week, showed experienced, lowerskilled customer service representatives saw big gains job performance company introduced AI chatbot help work. More experienced, higherskilled reps saw little benefit. Another study, Autor brought attention, showed similar. Two Autors students MIT conducted experiment ChatGPT helped people writing tasks. They lessskilled writers ended getting better writing, highskilled workers saw lesser benefit. As result, inequality workers decreased. If findings studies replicated built economy, creates bunch opportunities. Autor imagines economy, where, assisted AI, wider range workers kind work thats currently upper echelon labor force. The good scenario AI makes elite expertise cheaper accessible, Autor says. All sudden, workers summarize literature, write decent document, organize schedule, medical analysis, design product, figure route, maybe fly plane. In words, jobs currently reserved elite workers lowerskilled workers smart machines help them. That products services cheaper, open ladders opportunity people. But, Autor says, need retool education help reality, enabling people gain foundational skills industries teaching effectively use new technology. He sees parallel industrial era, universal K12 education helped prepare wide array Americans industrial jobs. Autor says need policies, government, businesses, universities, nonprofits, help bring world being. Basically, middleskilled workers future people foundational skills healthcare, trades, travel services, Autor says. Then, help AI, good jobs. Of course, rosy scenario, expertise highpaid professionals devalued theyll face new competition AIenhanced newcomers. But Autor imagines happening gradually. I dont think theyre gonna like thrown floor office buildings, Autor says. This scenario, Autor says, potential benefit: In long run, means fewer people college, expensive. The Bad Scenarios The worst scenario AI sentient kills all. Or, likely, Autor says, use AI kill other. Some leading technologists actually worried AI poses existential threat us, lets laugh possibility off. Autor worried AI possibly empower nefarious actors, spread misinformation, hijack critical systems, andor create host security threats. But ahem putting existential threats aside, bad economic scenarios. Its possible AI actually ends radically increasing inequality. It owners supercomputers AI systems insanely rich. It empower sorts business owners replace workers machines. It erase comparative advantages human beings workers industries obsolete, leaving superstars, seniority, connections jobs. I dont wanna rule out, Autor says. I mean, imagine world need super experts overseeing machines. In world, need completely rethink society functions, time, income distributed. But, Autor says, sees important reasons bad scenarios unlikely, entire economy, anytime soon. Why The Happier Scenario Is More Likely Than The Bad Scenarios First all, AI lags far humans realms. We possess plenty capabilities, talents, skills machines match. First all, live physical world, machines not, Autor says. Theres kinds things hands bodies faces, machines moment doing. More that, Autor says, brains outmatch computers ways. We adaptive problem solvers, Autor says. We common sense, and, course, better relating people. And creative. I dont think weve surpassed realms. In surpassed quickly, be. Even more, Autor says, actually living period problem dont people jobs, jobs people do. Our fertility rates plummeted. Our population getting older retiring. Immigration radically slowed. The US population growing slowest rate founding nation, Autor says. Many countries seeing similar demographic crunch. And thats world actually need lot automation enable things need do, including care elderly, Autor says. So Im worried running work running jobs do. Autor says biggest fears moment actually AI build smart weapons, spread misinformation, question truth reality fake videos, images, recordings, endanger peace security. In mind, I actually think irony labor market scary moment, Autor says. Im actually scared impact AI else. 2023 NPR. To more, visit Tags Politics Government NPR World NewsNPR Top StoriesNPR National News Facebook Twitter LinkedIn Email Greg Rosalsky Since 2018, Greg Rosalsky writer reporter NPRs Planet Money. See stories Greg Rosalsky News Alabama Public Radio public service association University Alabama. We depend help programming air online. Please consider supporting news rely donationtoday. Every contribution, matter size, propels vital coverage. Thank you. Donate Stay Connected instagram facebook Digital Media CenterBryantDenny Stadium, Gate 61920 Paul Bryant DriveTuscaloosa, AL 354870370800 6544262 2023 Alabama Public Radio Resources > About APR Us Careers APR Mobile App > Apple devices Android devices
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"population", "getting", "older", "retiring", "immigration", "radically", "slowed", "population", "growing", "slowest", "rate", "founding", "nation", "autor", "says", "countries", "seeing", "similar", "demographic", "crunch", "thats", "world", "actually", "need", "lot", "automation", "enable", "things", "need", "including", "care", "elderly", "autor", "says", "im", "worried", "running", "work", "running", "jobs", "autor", "says", "biggest", "fears", "moment", "actually", "ai", "build", "smart", "weapons", "spread", "misinformation", "question", "truth", "reality", "fake", "videos", "images", "recordings", "endanger", "peace", "security", "mind", "actually", "think", "irony", "labor", "market", "scary", "moment", "autor", "says", "im", "actually", "scared", "impact", "ai", "npr", "visit", "tags", "politics", "government", "npr", "world", "newsnpr", "storiesnpr", "national", "news", "facebook", "twitter", "linkedin", "email", "greg", "rosalsky", "greg", "rosalsky", "writer", "reporter", "nprs", "planet", "money", "stories", "greg", "rosalsky", "news", "alabama", "public", "radio", "public", "service", "association", "university", "alabama", "depend", "help", "programming", "air", "online", "consider", "supporting", "news", "rely", "donationtoday", "contribution", "matter", "size", "propels", "vital", "coverage", "thank", "donate", "stay", "connected", "instagram", "facebook", "digital", "media", "stadium", "gate", "paul", "bryant", "drivetuscaloosa", "al", "alabama", "public", "radio", "resources", "apr", "careers", "apr", "mobile", "app", "apple", "devices", "android", "devices" ]
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https://www.argusobserver.com/opinion/craig-carter-ai-will-always-need-humans/article_956134ee-0168-11ee-bcc8-9b84372e90f0.html
2023-06-04T00:00:00
en
Craig Carter: AI will always need humans | Opinion | argusobserver.com
Craig Carter: AI will always need humans | Opinion | argusobserver.com Skip to main content You have permission to edit this article. Edit Close Site search Search Local news E-edition Obituaries Sports Weather Email newsletter signup More news Valley life Opinion Business Special publications Events calendar Public Notices Independent Enterprise News Sports Opinion Features Obituaries Shop local Service Directory Classifieds Submit a Public Notice Search our Public Notices Search Oregon's Public Notices Place a classified ad Advertise with us Support Contact and meet the staff Send us an AO news tip Send us an IE news tip Submit a letter to the editor Career opportunities Subscribe Request content removal Download our mobile app Print subscription services Change of address Delivery issue Pay bill Request vacation stop Gift subscription Have any questions? Please give us a call at 541-889-5387 Copyright © • Wick Communications Terms of Use | Privacy Policy Facebook Twitter LinkedIn YouTube Instagram iOS App Android App Menu Search LOG IN My Account My Account Dashboard Profile Saved Items Log Out SUBSCRIBE MANAGE ACCOUNT Site search Search News E-edition Obituaries Sports Ind-Ent PUBLIC NOTICES Service Directory Weather Share This Facebook Twitter WhatsApp SMS Email LOG IN My Account My Account Dashboard Profile Saved Items Log Out SUBSCRIBE MANAGE ACCOUNT featured Craig Carter: AI will always need humans Craig Carter Jun 4, 2023 9 hrs ago 0 Facebook Twitter WhatsApp SMS Email Craig Carter Facebook Twitter WhatsApp SMS Email Print Copy article link Save Facebook Twitter WhatsApp SMS Email Print Copy article link Save “People don’t want to work anymore.”  2023’s official lament.I don't know. I think maybe Millennials and Gen Z are in the process of making the world theirs, while the entire paradigm of work is in the process of changing, thanks to the trillion-pound gorilla in the room known as Artificial Intelligence. × This page requires Javascript. Javascript is required for you to be able to read premium content. Please enable it in your browser settings. kAmtIA6CED 4@?E6?5 G6CJ D@@?[ E96 @?=J A6@A=6 H:E9 ;@3D 2C6 8@:?8 E@ 36 E9@D6 H9@ 3F:=5 px[ E9@D6 H9@ AC@8C2> px[ 2?5 E9@D6 H9@ 42? 7:I px] tG6CJE9:?8 6=D6 H:== 36 5@?6 3J px]k^AmkAm%92E :? >:?5[ x 8C62E=J 25>:C6 >J 3C@E96C\:?\=2H]  u@C >@C6 E92? b_ J62CD[ 96 3F:=E 2?5 7:I65 DEF77 7@C 2 AC@76DD:@?2= DA@CED 7C2?49:D6] w6’D C6E:C65 ?@H] w6 92D E9:D 2H6D@>6 D9@A ?@H[ H96C6 96 3F:=5D E9:?8D 2?5 7:I6D DEF77 7@C 9:>D6=7[ 9:D 72>:=J 2?5 9:D 49FC49] Ww6 24EF2==J H@C<D 92C56C ?@H[ 3FE :E’D @? 9:D @H? E6C>D]Xk^AmkAm“*@F <?@H[” 96 @?46 D2:5 E@ >6[ 2D 96 H2D H@C<:?8 @? 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E@ 96C G6CJ 4@C6[ 2?5 H:D9:?8 E@ 36 6?92?465 E@ AC@A6C=J 562= H:E9 E9:D ?6H A96?@>6?@?[ |2G:D 8@6D E@ E96 =@42= 2?5C@:5 >6492?:4[ y@9??J |4u:I:E]k^AmkAmy@9??J @A6?D FA E96 7=2A 369:?5 |2G:D’ =67E 62C[ 2?5 4964<D @FE E96 G:56@E2A6 @7 E96 4@?7C@?E2E:@?] w6 D:89D 2D 96 4=@D6D E96 7=2A[ =@@<D :?E@ |2G:D’ D@F=7F= 3C@H? 6J6D[ 2?5 D2JD[ “$@CCJ[ <:55@] *@FC AC@3=6> 2:?’E 92C5H2C6 @C D@7EH2C6] %96J’C6 EFC?:?8 J@F :?E@ FD ?@H] }@E9:?8 x 42? 5@ 23@FE E92E]”k^AmkAm(2:E 2 >:?FE6P %92E’D 2? 2==68@CJ] Wp?5 2 A2E96E:42==J @3G:@FD @?6 2E E92E]X }@ H@?56C x DE:== 92G6 2 52J ;@3]k^Am Copy article link Craig Carter is an Ontario resident and can be reached in care of The Argus Observer, 1160 S.W. Fourth St., Ontario, OR 97914. The views and opinions expressed in this column do not necessarily represent those of the Argus Observer. 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Craig Carter: AI will always need humans
Craig Carter: AI need humans Opinion Skip main content You permission edit article. Edit Close Site search Local news Eedition Obituaries Sports Weather Email newsletter signup More news Valley life Opinion Business Special publications Events calendar Public Notices Independent Enterprise News Sports Opinion Features Obituaries Shop local Service Directory Classifieds Submit Public Notice Public Notices Oregons Public Notices Place classified ad Advertise Support meet staff Send AO news tip Send IE news tip Submit letter editor Career opportunities Request content removal Download mobile app Print subscription services Change address Delivery issue Pay Request vacation stop Gift subscription Have questions? Please 5418895387 Wick Communications Terms Use Facebook Twitter LinkedIn YouTube Instagram iOS App Android App Menu LOG IN My Account My Account Dashboard Profile Saved Items Log Out SUBSCRIBE MANAGE ACCOUNT Site search News Eedition Obituaries Sports IndEnt PUBLIC NOTICES Service Directory Weather Share This Facebook Twitter WhatsApp SMS Email LOG IN My Account My Account Dashboard Profile Saved Items Log Out SUBSCRIBE MANAGE ACCOUNT featured Craig Carter: AI need humans Craig Carter Jun 4, 2023 9 hrs ago 0 Facebook Twitter WhatsApp SMS Email Craig Carter Facebook Twitter WhatsApp SMS Email Print Copy article link Save Facebook Twitter WhatsApp SMS Email Print Copy article link Save People dont want work anymore. 2023s official lament.I dont know. I think maybe Millennials Gen Z process making world theirs, entire paradigm work process changing, thanks trillionpound gorilla room known Artificial Intelligence. This requires Javascript. Javascript required able read premium content. 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C682C5 E@ 2?5C 3692G: 92G6 492?865 E@ DF:E 46CE2:? 286?52D[ 2?5 uC65 :D 2 8C2EF:E >62? A 2?5C H9 AC E@ 568C256 2?5 9F>:=:2E6 2?J 9F>2? 2?5C H9@ 5 9 46CE2:? A G:6HD] w6 E9 D4 2G:D 7 ? D92C:?8 9:D A 36=:67D[ 2?5 E6==D 96C[ v@ 324< E@ E96 7 724E H96C6 J H6C6 >256Pk^AmkAm92<6? E@ 96C G6CJ 4 2?5 H:D9:?8 E@ 36 6?92?465 E@ AC 562= H:E9 E9:D ?6H A96? 2G:D 8 E@ E96 = 2?5C >6492?:4[ 4u:I:E]k^AmkAmy FA E96 7=2A 369:?5 2G:D =67E 62C[ 2?5 4964<D E96 G:56 E96 4 w6 D:89D 2D 96 4= E96 7=2A[ = :?E@ 2G:D D 3C 6J6D[ 2?5 D2JD[ <:55 AC 2:?E 92C5H2C6 D 96JC6 EFC?:?8 J :?E@ FD ? x 42? 5@ 23 E92E]k^AmkAm2:E 2 >:?FE6P 92ED 2? 2==68 Wp?5 2 A2E96E:42==J 2E E92E]X @ H x DE:== 92G6 2 52J ; Copy article link Craig Carter Ontario resident reached care The Argus Observer, 1160 S.W. Fourth St., Ontario, OR 97914. The views opinions expressed column necessarily represent Argus Observer. 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"emiratesunited", "kingdom", "great", "britain", "irelanduruguay", "eastern", "republic", "bolivarian", "republic", "ofviet", "nam", "socialist", "republic", "ofwallis", "futuna", "islandswestern", "republic", "ofzimbabwe", "phone", "subtotal", "total", "like", "pay", "add", "new", "card", "card", "credit", "card", "cvv", "expiration", "month", "jan", "feb", "mar", "apr", "jun", "jul", "aug", "sep", "oct", "nov", "dec", "expiration", "year", "agree", "subscription", "terms", "use", "service", "automatically", "renewed", "credit", "card", "billed", "nears", "expiration", "secure", "transaction", "secure", "transaction", "cancel", "anytime", "youre", "set", "thank", "gift", "purchase", "successful", "purchase", "successful", "logged", "receipt", "sent", "email", "ok", "error", "occurred", "offer", "currently", "unavailable", "close" ]
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https://www.asiaone.com/business/here-offers-developers-and-data-scientists-direct-access-rich-geospatial-data
2020-09-16T00:00:00
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HERE offers developers and data scientists direct access to rich geospatial data, Business News - AsiaOne
HERE offers developers and data scientists direct access to rich geospatial data, Business News - AsiaOne Skip to main content Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Search Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks HERE offers developers and data scientists direct access to rich geospatial data globenewswire Sep 16, 2020 HERE offers developers and data scientists direct access to rich geospatial data GlobeNewswire September 16, 2020 Precise representation of the world’s road networks, pathways, buildings, structures, places, land use and land coverGeospatial datasets for a wide range of use cases including map display, spatial analytics, business intelligence, and AI/ML analysisSeptember 16, 2020 Amsterdam, The Netherlands - Demand for high-quality geospatial data has skyrocketed across industries as the global economy becomes more and more digitized. HERE Technologies, the leading location data and technology platform, today released HERE Data Layers to improve software developer and data scientists’ access to the rich cartographic features and attributes captured within an enterprise-grade mapping platform. HERE Data Layers are standalone geospatial representations of the world’s road networks, pathways, buildings, structures, places, land use and land cover. They serve as a menu for developers and data scientists to select the datasets needed to power today’s location-based functions, applications and customer experiences. “HERE has been a leading global B2B mapmaker for decades. Today, we’re ‘disaggregating’ our map via the HERE platform to empower users across all industries to tap the value of high-quality geospatial data,” said Mithun Dhar, Vice President, Developer Relations at HERE Technologies. “We are proud to support developers and customers in achieving better outcomes, whether that's by driving more engaging experiences, improving fleet, supply chain and road safety efficiencies, or by helping them operate more sustainably.” The offering consists of customizable high value urban geospatial data sets in GeoJSON format and can be used in a range of use cases from map display, spatial analytics, business intelligence to AI/ML analysis. HERE Data Layers include: Administrative Divisions: (Country, State, Province, Municipality, City or Built-up Area .Building: Man-made building structures with height and corresponding attribution.Destination Signs: Various destinations visible on a sign and relates such destinations to a specific path in the road network.Hydrography: Variety of water features (lakes, rivers, oceans, bays etc.).Land Cover: Content related to land physical coverage (woodland, wetlands, grassland, desert, glacier).Land Use: Content related to the functional usage of the land; it classifies areas of land for use by people.Navigable Road: Road Network with topology and Navigable Attributes.Places: Places and points of interest with corresponding location and related attribution.Traffic Restrictions: Represents specific paths in the road network where legal, logical or physical restrictions apply.Traffic Signs: Signs along the road used to inform the driver of specific road situations (e.g. Warning Signs, Priority Signs, Stop Signs).            HERE Data Layers is available for all to access via the company’s Freemium developer plan at https://developer.here.com/products/data-layers. About HERE TechnologiesHERE, a location data and technology platform, moves people, businesses and cities forward by harnessing the power of location. By leveraging our open platform, we empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. To learn more about HERE, please visit https://here.com and https://360.here.com. Media ContactJames Overstall  +49 171 533 4418 [email protected] Jordan Stark +1 312 316 4537 [email protected]   Attachment HERE Data Layers Your daily good stuff - AsiaOne stories delivered straight to your inbox Name Email By signing up, you agree to our Privacy policy. Submit About Us|Advertise With Us|Privacy Statement|Work With Us FOLLOW US AsiaOne Online Pte Ltd. Company registration NO.201815023K Personal Data Protection Statement × Search Asiaone
HERE offers developers and data scientists direct access to rich geospatial data, Business News
HERE offers developers data scientists direct access rich geospatial data, Business News AsiaOne Skip main content Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks HERE offers developers data scientists direct access rich geospatial data globenewswire Sep 16, 2020 HERE offers developers data scientists direct access rich geospatial data GlobeNewswire September 16, 2020 Precise representation worlds road networks, pathways, buildings, structures, places, land use land coverGeospatial datasets wide range use cases including map display, spatial analytics, business intelligence, AIML analysisSeptember 16, 2020 Amsterdam, The Netherlands Demand highquality geospatial data skyrocketed industries global economy digitized. HERE Technologies, leading location data technology platform, today released HERE Data Layers improve software developer data scientists access rich cartographic features attributes captured enterprisegrade mapping platform. HERE Data Layers standalone geospatial representations worlds road networks, pathways, buildings, structures, places, land use land cover. They serve menu developers data scientists select datasets needed power todays locationbased functions, applications customer experiences. HERE leading global B2B mapmaker decades. Today, disaggregating map HERE platform empower users industries tap value highquality geospatial data, said Mithun Dhar, Vice President, Developer Relations HERE Technologies. We proud support developers customers achieving better outcomes, thats driving engagingexperiences, improving fleet, supply chain road safety efficiencies, helping operate sustainably. The offering consists customizable high value urban geospatial data sets GeoJSON format range use cases map display, spatial analytics, business intelligence AIML analysis. HERE Data Layers include: Administrative Divisions: Country, State, Province, Municipality, City Builtup Area .Building: Manmade building structures height corresponding attribution.Destination Signs: Various destinations visible sign relates destinations specific path road network.Hydrography: Variety water features lakes, rivers, oceans, bays etc..Land Cover: Content related land physical coverage woodland, wetlands, grassland, desert, glacier.Land Use: Content related functional usage land; classifies areas land use people.Navigable Road: Road Network topology Navigable Attributes.Places: Places points corresponding location related attribution.Traffic Restrictions: Represents specific paths road network legal, logical physical restrictions apply.Traffic Signs: Signs road inform driver specific road situations e.g. Warning Signs, Priority Signs, Stop Signs. HERE Data Layers available access companys Freemium developer plan About HERE TechnologiesHERE, location data technology platform, moves people, businesses cities forward harnessing power location. By leveraging open platform, empower customers achieve better outcomes helping city manage infrastructure business optimize assets guiding drivers destination safely. To learn HERE, visit Media James Overstall 49 171 533 4418 james.overstall Jordan Stark1 312 316 4537Jordan.stark Attachment HERE Data Layers Your daily good stuff AsiaOne stories delivered straight inbox Name Email By signing up, agree Privacy policy. Submit Advertise With UsPrivacy StatementWork With Us FOLLOW US AsiaOne Online Pte Ltd. Company registration NO.201815023K Personal Data Protection Statement Asiaone
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https://www.atlanticfinancialmanagement.co.uk/uncategorised/318958/machine-learning-as-a-service-mlaas-market-size-segmentation-growth-challenges-by-manufacturers-amazon-web-services-inc-hewlett-packard-enterprise-development-lp-yottamine-analytics-llc-sas/
2021-02-19T00:00:00
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Machine Learning-as-a-Service (MLaaS) Market Size, Segmentation, Growth Challenges by Manufacturers – Amazon Web Services Inc., Hewlett Packard Enterprise Development LP, Yottamine Analytics LLC, SAS Institute Inc., Sift Science Inc., Google LLC, Iflowsoft Solutions Inc., Fair Isaac Corporation (FICO), PurePredictive Inc., IBM Corp., Microsoft Corp., BigML Inc. – Atlantic Financial Management
Machine Learning-as-a-Service (MLaaS) Market Size, Segmentation, Growth Challenges by Manufacturers – Amazon Web Services Inc., Hewlett Packard Enterprise Development LP, Yottamine Analytics LLC, SAS Institute Inc., Sift Science Inc., Google LLC, Iflowsoft Solutions Inc., Fair Isaac Corporation (FICO), PurePredictive Inc., IBM Corp., Microsoft Corp., BigML Inc. – Atlantic Financial Management Skip to content Fri. Feb 19th, 2021 Atlantic Financial Management Energy Pressroom Space All News Contact All News Machine Learning-as-a-Service (MLaaS) Market Size, Segmentation, Growth Challenges by Manufacturers – Amazon Web Services Inc., Hewlett Packard Enterprise Development LP, Yottamine Analytics LLC, SAS Institute Inc., Sift Science Inc., Google LLC, Iflowsoft Solutions Inc., Fair Isaac Corporation (FICO), PurePredictive Inc., IBM Corp., Microsoft Corp., BigML Inc. Byanita_adroit Feb 19, 2021 “ Machine Learning-as-a-Service (MLaaS) market 2021 the research study presents a systematic analysis of the current market size, drivers, trends, opportunities, challenges, and key segments of the Machine Learning-as-a-Service (MLaaS) market. Further, the report explains various definitions and classifications of Machine Learning-as-a-Service (MLaaS) industry, applications, and chain structure. Continuing with the data above, the Machine Learning-as-a-Service (MLaaS) report gives different marketing strategies by distributors and major players. Then illustrates Machine Learning-as-a-Service (MLaaS) potential buyers, marketing channels and development history. The intention of the global Machine Learning-as-a-Service (MLaaS) industry report is to provide readers with information related to the Machine Learning-as-a-Service (MLaaS) market forecast and dynamics for the coming years. The study identifies the necessary aspects which affect the development of the Machine Learning-as-a-Service (MLaaS) market. The report presents a sustainable assessment of the global Machine Learning-as-a-Service (MLaaS) market share of distinct regions and countries. In addition, it includes Machine Learning-as-a-Service (MLaaS) consumption values of types and applications. At the end of fundamental information, the global Machine Learning-as-a-Service (MLaaS) industry report highlights acquisitions, technical development, Machine Learning-as-a-Service (MLaaS) inventive business approach, new developments, and revenues. In addition, the R&D status and Machine Learning-as-a-Service (MLaaS) market progress in the apparent regions are covered in the report. Request for a sample report here https://www.orbisresearch.com/contacts/request-sample/4535238 Global Analysis of Market Machine Learning-as-a-Service (MLaaS) Manufacturers: The entire Machine Learning-as-a-Service (MLaaS) market is ranked by the presence of popular global and local manufacturers. These Machine Learning-as-a-Service (MLaaS) well-established vendors have enormous imperative resources and funds for research and development activities. In addition, Machine Learning-as-a-Service (MLaaS) manufacturers are focused on growing new raw materials and technologies. In fact, it will improve the competitive scenario of Machine Learning-as-a-Service (MLaaS) the industry. Major Machine Learning-as-a-Service (MLaaS) Market Manufacturers: Amazon Web Services Inc. Hewlett Packard Enterprise Development LP Yottamine Analytics LLC SAS Institute Inc. Sift Science Inc. Google LLC Iflowsoft Solutions Inc. Fair Isaac Corporation (FICO) PurePredictive Inc. IBM Corp. Microsoft Corp. BigML Inc. Types of Machine Learning-as-a-Service (MLaaS) market products: Marketing and Advertisement Predictive Maintenance Automated Network Management Fraud Detection and Risk Analytics Other Machine Learning-as-a-Service (MLaaS) Commercial applications: IT and Telecom Automotive Healthcare Aerospace and Defense Retail Government BFSI Other End Users In addition, this study organizes a new investment feasibility analysis of the Machine Learning-as-a-Service (MLaaS) market. The report not only analyzes key micro-markets strategically, but also focuses on Machine Learning-as-a-Service (MLaaS) industry-specific constraints, opportunities, drivers and challenges. Global Machine Learning-as-a-Service (MLaaS) Industry Report covers the following topics: 01: Machine Learning-as-a-Service (MLaaS) Market Overview 02: Global Machine Learning-as-a-Service (MLaaS) sales, revenue (value) and market share of manufacturers 03: Machine Learning-as-a-Service (MLaaS) Market Sales, Revenue (Value) by Regions, Types and Applications (2015-2020) 04: Regional Top 5 players, Machine Learning-as-a-Service (MLaaS) Sales, revenues and prices 05: Player Profiles Machine Learning-as-a-Service (MLaaS) Worldwide Industry / Analysis 06: Machine Learning-as-a-Service (MLaaS) Análisis de costos de fabricación 07: Industrial chain, Machine Learning-as-a-Service (MLaaS) Sourcing strategy and downstream buyers 08: Machine Learning-as-a-Service (MLaaS) Analysis of the marketing strategy, Distributors / Merchants 09: Machine Learning-as-a-Service (MLaaS) Analysis of sectoral effect factors 10: Global Machine Learning-as-a-Service (MLaaS) Market Forecast (2021-2027) 11: Machine Learning-as-a-Service (MLaaS) Research results and conclusion 12: appendix Ask our Expert if You Have a Query at: https://www.orbisresearch.com/contacts/enquiry-before-buying/4535238 The global Machine Learning-as-a-Service (MLaaS) market report 2021 offers a detailed scenario that is bifurcated by manufacturers, product type, applications, technological advancements Machine Learning-as-a-Service (MLaaS), and regions. The overview includes market growth opportunities, trends, Machine Learning-as-a-Service (MLaaS) restraints, market drivers. It also provides current and witness market data Machine Learning-as-a-Service (MLaaS). The global market research report Machine Learning-as-a-Service (MLaaS) reveals that the industry will grow at a significant CAGR during the forecast period between 2021 and 2027. The Machine Learning-as-a-Service (MLaaS) market offers many opportunities for growth in developed and developing economies. In addition, the Machine Learning-as-a-Service (MLaaS) industry could certainly benefit from the growing demand for lower processing costs Machine Learning-as-a-Service (MLaaS) across the world. The report contains a comprehensive study of Machine Learning-as-a-Service (MLaaS) history, evolution and trend. Clearly, Machine Learning-as-a-Service (MLaaS) includes market competition and politics. Machine Learning-as-a-Service (MLaaS) Market report then shows another important point i.e. trade overview. It also provides the crucial information about Machine Learning-as-a-Service (MLaaS) market size, growth and opportunities. Particularly localize the Machine Learning-as-a-Service (MLaaS) market sector forecast 2021-2027. The report reveals aggressive landscape of Machine Learning-as-a-Service (MLaaS) market combined with an overview of the business. There are different Machine Learning-as-a-Service (MLaaS) company profiles, their policies, and recent developments. At the same time, the Machine Learning-as-a-Service (MLaaS) shows business transaction data. Later describes the Machine Learning-as-a-Service (MLaaS) Market share, product & service. Directly portrays the leading Machine Learning-as-a-Service (MLaaS) companies in the sector strategies and upcoming segments. The Machine Learning-as-a-Service (MLaaS) market forecast also includes analysis with volume and value. The crucial section of the Machine Learning-as-a-Service (MLaaS) study is the research conclusions. Thus, the overall Machine Learning-as-a-Service (MLaaS) report benefits can be of interest and existing players can monitor the coming opportunities in the Machine Learning-as-a-Service (MLaaS) market. Exclusively, the Machine Learning-as-a-Service (MLaaS) report oversees an overall analysis of the parent market as well as dependent / independent sectors. The Machine Learning-as-a-Service (MLaaS) report offers legitimate and up-to-date Machine Learning-as-a-Service (MLaaS) static and market development outlook. Continuing, it illustrates the crucial conclusions of Machine Learning-as-a-Service (MLaaS), the research findings and the opportunities for advancement to come. In the end, the probabilities of new Machine Learning-as-a-Service (MLaaS) investment market projects are calculated and the entire Machine Learning-as-a-Service (MLaaS) research conclusions are served. In summary, those interested in the Machine Learning-as-a-Service (MLaaS) market will have a fair idea of the most important driving and slowing forces in the industry and its influence on the Machine Learning-as-a-Service (MLaaS) global market. The report estimates the coming big picture for the Machine Learning-as-a-Service (MLaaS) industry, which could help readers make practical decisions about which market segments Machine Learning-as-a-Service (MLaaS) to focus on in the coming years. Direct Purchase Report @ https://www.orbisresearch.com/contact/purchase-single-user/4535238 About Us: Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients. Contact Us: Hector Costello Senior Manager – Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas – 75204, U.S.A. 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Machine Learning-as-a-Service (MLaaS) Market Size, Segmentation, Growth Challenges by Manufacturers
Machine LearningasaService MLaaS Market Size, Segmentation, Growth Challenges Manufacturers Amazon Web Services ., Hewlett Packard Enterprise Development LP, Yottamine Analytics LLC, SAS Institute ., Sift Science ., Google LLC, Iflowsoft Solutions ., Fair Isaac Corporation FICO, PurePredictive ., IBM Corp., Microsoft Corp., BigML . Atlantic Financial Management Skip content Fri. Feb 19th, 2021 Atlantic Financial Management Energy Pressroom Space All News All News Machine LearningasaService MLaaS Market Size, Segmentation, Growth Challenges Manufacturers Amazon Web Services ., Hewlett Packard Enterprise Development LP, Yottamine Analytics LLC, SAS Institute ., Sift Science ., Google LLC, Iflowsoft Solutions ., Fair Isaac Corporation FICO, PurePredictive ., IBM Corp., Microsoft Corp., BigML . Byanita_adroit Feb 19, 2021 Machine LearningasaService MLaaS market 2021 research study presents systematic analysis current market size, drivers, trends, opportunities, challenges, key segments Machine LearningasaService MLaaS market. Further, report explains definitions classifications Machine LearningasaService MLaaS industry, applications, chain structure. Continuing data above, Machine LearningasaService MLaaS report gives different marketing strategies distributors major players. Then illustrates Machine LearningasaService MLaaS potential buyers, marketing channels development history. The intention global Machine LearningasaService MLaaS industry report provide readers information related Machine LearningasaService MLaaS market forecast dynamics coming years. The study identifies necessary aspects affect development Machine LearningasaService MLaaS market. The report presents sustainable assessment global Machine LearningasaService MLaaS market share distinct regions countries. In addition, includes Machine LearningasaService MLaaS consumption values types applications. At end fundamental information, global Machine LearningasaService MLaaS industry report highlights acquisitions, technical development, Machine LearningasaService MLaaS inventive business approach, new developments, revenues. In addition, RD status Machine LearningasaService MLaaS market progress apparent regions covered report. Request sample report Global Analysis Market Machine LearningasaService MLaaS Manufacturers: The entire Machine LearningasaService MLaaS market ranked presence popular global local manufacturers. These Machine LearningasaService MLaaS wellestablished vendors enormous imperative resources funds research development activities. In addition, Machine LearningasaService MLaaS manufacturers focused growing new raw materials technologies. In fact, improve competitive scenario Machine LearningasaService MLaaS industry. Major Machine LearningasaService MLaaS Market Manufacturers: Amazon Web Services . Hewlett Packard Enterprise Development LP Yottamine Analytics LLC SAS Institute . Sift Science . Google LLC Iflowsoft Solutions . Fair Isaac Corporation FICO PurePredictive . IBM Corp. Microsoft Corp. BigML . Types Machine LearningasaService MLaaS market products: Marketing Advertisement Predictive Maintenance Automated Network Management Fraud Detection Risk Analytics Other Machine LearningasaService MLaaS Commercial applications: IT Telecom Automotive Healthcare Aerospace Defense Retail Government BFSI Other End Users In addition, study organizes new investment feasibility analysis Machine LearningasaService MLaaS market. The report analyzes key micromarkets strategically, focuses Machine LearningasaService MLaaS industryspecific constraints, opportunities, drivers challenges. Global Machine LearningasaService MLaaS Industry Report covers following topics: 01: Machine LearningasaService MLaaS Market Overview 02: Global Machine LearningasaService MLaaS sales, revenue value market share manufacturers 03: Machine LearningasaService MLaaS Market Sales, Revenue Value Regions, Types Applications 20152020 04: Regional Top 5 players, Machine LearningasaService MLaaS Sales, revenues prices 05: Player Profiles Machine LearningasaService MLaaS Worldwide Industry Analysis 06: Machine LearningasaService MLaaS Anlisis costos fabricacin 07: Industrial chain, Machine LearningasaService MLaaS Sourcing strategy downstream buyers 08: Machine LearningasaService MLaaS Analysis marketing strategy, Distributors Merchants 09: Machine LearningasaService MLaaS Analysis sectoral effect factors 10: Global Machine LearningasaService MLaaS Market Forecast 20212027 11: Machine LearningasaService MLaaS Research results conclusion 12: appendix Ask Expert You Have Query at: The global Machine LearningasaService MLaaS market report 2021 offers detailed scenario bifurcated manufacturers, product type, applications, technological advancements Machine LearningasaService MLaaS, regions. The overview includes market growth opportunities, trends, Machine LearningasaService MLaaS restraints, market drivers. It provides current witness market data Machine LearningasaService MLaaS. The global market research report Machine LearningasaService MLaaS reveals industry grow significant CAGR forecast period 2021 2027. The Machine LearningasaService MLaaS market offers opportunities growth developed developing economies. In addition, Machine LearningasaService MLaaS industry certainly benefit growing demand lower processing costs Machine LearningasaService MLaaS world. The report contains comprehensive study Machine LearningasaService MLaaS history, evolution trend. Clearly, Machine LearningasaService MLaaS includes market competition politics. Machine LearningasaService MLaaS Market report shows important point i.e. trade overview. It provides crucial information Machine LearningasaService MLaaS market size, growth opportunities. Particularly localize Machine LearningasaService MLaaS market sector forecast 20212027. The report reveals aggressive landscape Machine LearningasaService MLaaS market combined overview business. There different Machine LearningasaService MLaaS company profiles, policies, recent developments. At time, Machine LearningasaService MLaaS shows business transaction data. Later describes Machine LearningasaService MLaaS Market share, product service. Directly portrays leading Machine LearningasaService MLaaS companies sector strategies upcoming segments. The Machine LearningasaService MLaaS market forecast includes analysis volume value. The crucial section Machine LearningasaService MLaaS study research conclusions. Thus, overall Machine LearningasaService MLaaS report benefits existing players monitor coming opportunities Machine LearningasaService MLaaS market. Exclusively, Machine LearningasaService MLaaS report oversees overall analysis parent market dependent independent sectors. 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We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. 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4,171
https://www.axios.com/pro/tech-policy/2023/07/24/capitol-hill-eyes-ai-commitments-skeptically
2023-07-24T00:00:00
en
Capitol Hill eyes AI commitments skeptically
Capitol Hill eyes AI commitments skepticallySkip to main contentAxios ProAxios Pro Exclusive ContentCapitol Hill eyes AI commitments skepticallyAshley Gold, author of Axios Pro: Tech Policy46 mins agoShare on facebook (opens in new window)Share on twitter (opens in new window)Share on linkedin (opens in new window)Share on email (opens in new window)Illustration: Allie Carl/AxiosExit Content PreviewLeading AI companies garnered a lot of goodwill with the White House last week by making voluntary commitments to responsible AI development. Be smart: Capitol Hill applauded President Biden's commitment to prioritizing AI, but lawmakers were quick to eye the voluntary commitments skeptically. But their skepticism won't mean much if Congress doesn't do anything. Senate Majority Leader Chuck Schumer has lofty plans to pass a comprehensive legislative framework for AI in the "coming months," and frequent briefings with experts and planned roundtables for the fall speak to that commitment.Sending a bipartisan bill to Biden's desk remains an incredibly difficult task.Why it matters: Tech companies have been making voluntary commitments to have safer products since Washington started eyeing social media companies doubtfully.It has been a tactic to head off legislation that companies find onerous, expensive or unnecessary. The intrigue: With AI, most companies have accepted that a certain level of regulation seems inevitable, so they're getting in early with lawmakers to make sure their ideas are taken into account.What they're saying: "As President Biden secures commitments from AI executives to safeguard our security and contain the potential existential harms that AI poses, it is essential that Congress take additional legislative action to respond to this threat before it’s too late," Sen. Ed Markey said."White House AI guidelines are a sound start, but unspecific & voluntary — insufficient without new laws," Sen. Richard Blumenthal tweeted.Sen. Amy Klobuchar, who fought to try to pass the Honest Ads Act before social media platforms introduced their own transparency measures, told Axios: "Like any emerging technology, AI comes with some risks, and if we don’t act, those risks could become detrimental, particularly to our democracy. ... It’s good to see that the administration secured voluntary commitments from the major players, but congressional action is needed."Klobuchar continued: "I'm leading legislation to protect our democracy and address the spread of AI-generated disinformation in our elections, and I will continue to work closely with my colleagues on both sides of the aisle to put in place rules of the road."Sen. Angus King tweeted that he was especially appreciative of the announcement that tech companies would develop systems to "watermark" AI-generated content, but that more needed to be done.Of note: Sen. Mark Warner sent Biden a letter Monday calling on the administration to bolster and expand the AI commitments, especially to a "wider range of AI products.""To be sure, responsibility ultimately lies with Congress to develop laws," he wrote.Flashback: It's not surprising that voluntary commitments are giving lawmakers pause. The last eight years or so of trying to regulate social media have often been a futile exercise as promising bills fell victim to party-line disputes, a lack of interest from congressional leadership or intense lobbying campaigns.Recent history has taught both Republicans and Democrats that promises of self-regulation lead to bills dying. That's included past efforts to more strictly regulate digital political ads, enhance online privacy and make content moderation decisions more transparent.Lawmakers propose and debate legislation, and tech companies quickly come up with a new promise they can make to show they can handle safety and responsibility themselves. The bottom line: Lawmakers can say voluntary promises are not enough when it comes to AI — but that puts more pressure on them to get to work.Share on facebook (opens in new window)Share on twitter (opens in new window)Share on linkedin (opens in new window)Share on email (opens in new window)Go deeperNews worthy of your time.Download the appAboutAbout AxiosAdvertise with usCareersEventsAxios on HBOAxios HQPrivacy and termsOnline tracking choicesYour Privacy ChoicesContact usSubscribeAxios newslettersAxios ProAxios appAxios podcastsCoursesEarn Axios rewardsAxios Homepage
Capitol Hill eyes AI commitments skeptically
Capitol Hill eyes AI commitments skepticallySkip main contentAxios ProAxios Pro Exclusive ContentCapitol Hill eyes AI commitments skepticallyAshley Gold, author Axios Pro: Tech Policy46 mins agoShare facebook opens new windowShare twitter opens new windowShare linkedin opens new windowShare email opens new windowIllustration: Allie CarlAxiosExit Content PreviewLeading AI companies garnered lot goodwill White House week making voluntary commitments responsible AI development. Be smart: Capitol Hill applauded President Bidens commitment prioritizing AI, lawmakers quick eye voluntary commitments skeptically. But skepticism wont mean Congress doesnt anything. Senate Majority Leader Chuck Schumer lofty plans pass comprehensive legislative framework AI coming months, frequent briefings experts planned roundtables fall speak commitment.Sending bipartisan Bidens desk remains incredibly difficult task.Why matters: Tech companies making voluntary commitments safer products Washington started eyeing social media companies doubtfully.It tactic head legislation companies onerous, expensive unnecessary. The intrigue: With AI, companies accepted certain level regulation inevitable, theyre getting early lawmakers sure ideas taken account.What theyre saying: As President Biden secures commitments AI executives safeguard security contain potential existential harms AI poses, essential Congress additional legislative action respond threat late, Sen. Ed Markey said.White House AI guidelines sound start, unspecific voluntary insufficient new laws, Sen. Richard Blumenthal tweeted.Sen. Amy Klobuchar, fought try pass Honest Ads Act social media platforms introduced transparency measures, told Axios: Like emerging technology, AI comes risks, dont act, risks detrimental, particularly democracy. ... Its good administration secured voluntary commitments major players, congressional action needed.Klobuchar continued: Im leading legislation protect democracy address spread AIgenerated disinformation elections, I continue work closely colleagues sides aisle place rules road.Sen. Angus King tweeted especially appreciative announcement tech companies develop systems watermark AIgenerated content, needed done.Of note: Sen. Mark Warner sent Biden letter Monday calling administration bolster expand AI commitments, especially wider range AI products.To sure, responsibility ultimately lies Congress develop laws, wrote.Flashback: Its surprising voluntary commitments giving lawmakers pause. The years trying regulate social media futile exercise promising bills fell victim partyline disputes, lack congressional leadership intense lobbying campaigns.Recent history taught Republicans Democrats promises selfregulation lead bills dying. Thats included past efforts strictly regulate digital political ads, enhance online privacy content moderation decisions transparent.Lawmakers propose debate legislation, tech companies quickly come new promise handle safety responsibility themselves. The line: Lawmakers voluntary promises comes AI puts pressure work.Share facebook opens new windowShare twitter opens new windowShare linkedin opens new windowShare email opens new windowGo deeperNews worthy time.Download appAboutAbout AxiosAdvertise usCareersEventsAxios HBOAxios HQPrivacy termsOnline tracking choicesYour Privacy Choices usAxios newslettersAxios ProAxios appAxios podcastsCoursesEarn Axios rewardsAxios Home
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1
4,172
https://www.azernews.az/business/202304.html
2022-11-16T00:00:00
en
Azerbaijan eyes establishing ASAN Service model based on artificial intelligence
Azerbaijan eyes establishing ASAN Service model based on artificial intelligence Azernews.Az Wednesday November 16 2022 Login Latest NATION WORLD BUSINESS OIL &AMP; GAS ARMENIAN AGGRESSION ARMENIAN-AZERBAIJANI CONFLICT EDITORIAL ANALYSIS LIFESTYLE EVENTS HEALTHCARE CULTURE TRAVEL SPORTS OUR WRITERS Azerbaijan eyes establishing ASAN Service model based on artificial intelligence 16 November 2022 16:25 (UTC+04:00) By Trend Azerbaijan plans to establish the ASAN Service model based on artificial intelligence, until 2025, Director of the e-Gov Development Center of the Republic of Azerbaijan Fariz Jafarov said at the Baku CEO Summit event on November 15, Trend reports. "Our experience in e-government is used in Indonesia and some other countries. I'd like to note that 320 services of 13 public agencies are integrated into the ASAN Service," he said. Jafarov said that today, more than 1,000 volunteers out of 30,000 have been employed in ASAN. "In 2022, for the first time, ASAN services were provided outside the country – in Türkiye. Azerbaijanis living in Türkiye can take advantage of public services through the mobile service center," he said.- -- Follow us on Twitter @AzerNewsAz Tags: ASAN Service Baku CEO Summit Loading... Latest Azerbaijani Defense Minister visits Georgia's National Defense Academy [PHOTO] 16:56 Blinken urges Pashinyan to continue negotiations 16:41 Azerbaijan eyes establishing ASAN Service model based on artificial intelligence 16:25 Azerbaijan Army holds demonstration battalion tactical drills [PHOTO/VIDEO] 16:12 Azerbaijani Parliament starts discussions on state budget 2023 at plenary meeting 15:59 Philharmonic Hall hosts stunning concert to honor eminent composer [PHOTO] 15:37 Azerbaijan, Russia mull border demarcation in Derbent 15:22 Perpetrators of Istanbul bomb blast want to intimidate both Türkiye, Azerbaijan – veteran 15:15 Austrian press reports on France's provocative resolution against Azerbaijan 14:45 Russia’s Novgorod plans business mission to Azerbaijan to expand ties 14:27 Azerbaijan's Mortgage, Credit Guarantee Fund makes bond interest payments 14:15 Azerbaijan censures French Senate resolution as biased, one-sided, serving Armenian diaspora 13:48 Azerbaijani Central Bank, WB discuss co-op prospects 13:35 15th meeting of International Sovereign Fund Forum to be held in Madrid 13:12 Ankara to host memorial concert to mark Fikrat Amirov's centenary 12:59 BTS's golden maknae to perform at FIFA World Cup 2022 12:41 Iran regime said removing garbage containers ahead of nationwide protests 12:24 Turkiye hosts collective military training for Turkic states [VIDEO] 12:05 Minister: Azerbaijan boosts electricity output from renewable sources 11:53 Azerbaijan, EBRD to sign MoU on technical support for electricity sector dev’t [PHOTO] 11:39 Heating system to several buildings in Shusha restored 11:19 Armenia shells Azerbaijani positions in Kalbajar direction 11:02 Shusha inks protocols with three different cities [PHOTO] 10:45 Samira Efendi to join Eurovision stars in Amsterdam [PHOTO] 10:24 Both Azerbaijan and Türkiye fighting terror for years - expert [VIDEO] 10:07 Central Asia Review: Samarkand Summit of Organization of Turkic States 09:59 Azerbaijan's Kapital Bank increases digital channels for business, staff support 09:15 Secret withdrawal of funds from cards to be considered theft in Azerbaijan - resolution 08:30 Chinese leader Xi Jinping meets French President Macron 15 November 23:19 Kazakhstan's tenge exchange rate strengthens in October 15 November 22:47 Iranian currency rates for November 15 15 November 22:12 Gas price in Europe hits $1,340 per 1,000 cubic meters 15 November 21:43 President Ilham Aliyev completes state visit to Albania [PHOTO] 15 November 21:25 Indonesian president opens G20 summit in Bali 15 November 21:14 Dinner hosted on behalf of Prime Minister of Albania in honor of President Ilham Aliyev 15 November 20:51 Uzbekistan, Hungary sign documents in several fields of economy 15 November 20:45 UN Human Rights Council to hold special session on situation in Iran 15 November 20:16 EBRD President to visit Uzbekistan 15 November 19:53 Central Bank holds regular foreign exchange auction 15 November 19:15 Head of Association of Azerbaijan’s Friends addresses Emmanuel Macron, Senate of France 15 November 18:40 Iran opposes Israel strengthening of relations with Azerbaijan, Bahrain, threatening region - Jerusalem Post 15 November 18:10 Azerbaijani diaspora picketing French Senate in Paris [PHOTO] 15 November 17:59 Bosnia & Herzegovina keen on gaining access to Azerbaijani gas - former president 15 November 17:49 President Ilham Aliyev visits Mother Albania monument in Tirana [PHOTO] 15 November 17:42 European Film Festival returns to big screen in Baku [PHOTO] 15 November 17:34 Iran's drug traffic & "thousand-year-long communication route" [PHOTO] 15 November 17:24 Azerbaijani traditional dance on spotlight in Geneva [PHOTO] 15 November 17:15 Azerbaijani, Albanian presidents hold expanded meeting during official lunch [VIDEO] 15 November 17:11 TRACECA cargo transport via Azerbaijan up in Jan-Sep 22 15 November 16:57 National Olympic Committee: Rise to Sports Olympus [PHOTO] 15 November 16:37 Envoy: Azerbaijani-UK ties growing stronger [PHOTO] 15 November 16:18 Azerbaijani, Albanian presidents made press statements [UPDATE] 15 November 16:15 Procter & Gamble creates over 700 jobs in Azerbaijan [PHOTO] 15 November 15:57 Azerbaijani envoy to Switzerland attends lunch in honor of Swiss President [PHOTO] 15 November 15:37 Azerbaijan's foreign trade hits $41.2bn in 3Q2022 15 November 15:17 Azerbaijani, Albanian presidents hold one-on-one meeting [PHOTO/VIDEO] 15 November 15:02 Carpet Museum named popular tourist destination 15 November 14:57 South Caucasus Weekly Review looks into major developments in Armenia, Georgia & Azerbaijan 15 November 14:37 Tirana gives red-carpet welcome to President Ilham Aliyev [PHOTO/VIDEO] 15 November 14:31 President Ilham Aliyev arrives in Albania for state visit [PHOTO] 15 November 14:16 Azerbaijan, ISSA eye prospects for cooperation dev't 15 November 13:53 Azerbaijani, Iranian foreign ministers discuss regional situation 15 November 13:34 Azerbaijani oil prices decrease 15 November 13:14 Baku to host XI Azerbaijani-Russian interregional forum 15 November 12:56 Azerbaijan, WB discuss new initiatives & prospects of co-op [PHOTO] 15 November 12:35 First VP Mehriban Aliyeva resigns from position of UNESCO goodwill ambassador [UPDATE] 15 November 12:30 Circus artists perform colorful show [PHOTO] 15 November 12:14 Azerbaijan, UNIDO ink accord on cooperation for 2022-26 [PHOTO] 15 November 11:55 President Ilham Aliyev congratulates President of Palestine Mahmoud Abbas 15 November 11:34 Azerbaijan can play pivotal role in EU’s energy security for years to come - Bruegel 15 November 11:33 Azerbaijani manat exchange rate to global currencies for November 15 15 November 11:15 Azerbaijani racers win top spots at King of Drift Georgia 2022 [PHOTO] 15 November 11:10 Young gymnasts stun sports fans with complex elements [PHOTO] 15 November 10:47 Azerbaijan defuses over 700 mines & munitions in de-occupied Karabakh within a week 15 November 10:24 Group of Azerbaijani State Social Protection Fund's employees awarded 'Taraggi' medal – decree 15 November 10:05 Volume of transshipment via Port of Baku to exceed 6m tons in 2022 15 November 09:59 Slovenia elects first female president 15 November 09:21 UK Prime Minister Rishi Sunak arrives in Bali for G20 summit 15 November 08:17 Iran begins car exports to Venezuela 14 November 23:10 Ebola spreads to eastern Uganda: official 14 November 22:48 IMF says global economic outlook getting 'gloomier', risks abound 14 November 22:17 Russell takes maiden F1 win at Sao Paulo GP 14 November 21:43 Flash floods in Australia's southeast cut off inland towns 14 November 21:16 Iranian currency rates for November 14 14 November 20:56 Japan working on arranging summit meeting with China's Xi 14 November 20:11 Kazakhstan's economy suffering from situation in Ukraine - MFA 14 November 19:52 French media covers Organization of Turkic States' activity as another proof of President Ilham Aliyev's far-sighted policy 14 November 19:24 Georgia hosts Scandinavian tour operators in tourism potential promotion 14 November 19:16 Azerbaijan confirms 4 more COVID-19 cases, 3 recoveries 14 November 18:50 Russian MFA denies information about FM Lavrov's hospitalization in Indonesia 14 November 18:44 Azerbaijani citizens no longer required COVID-19 vaccination to travel to UAE 14 November 18:32 Europe does not plan to replace every molecule of Russian gas – Kadri Simson 14 November 18:12 Pathetic sorrows and escape tunnels flutter like wounded lepidoptera in Pashinyan’s mind 14 November 17:59 Zakir Hasanov & Georgian PM discuss regional military-political situation [PHOTO] 14 November 17:48 Results of 51st Artistic Gymnastics World Championships competition excited everyone at European Gymnastics - Farid Gayibov 14 November 17:35 Azerbaijan, Georgia sign military cooperation plan for 2023 [PHOTO] 14 November 17:29 Pundit: Pashinyan's accusations based on his inferiority complex 14 November 17:09 Turkish Albayrak talks Middle Corridor's big role in cargo shipment from China to Europe [PHOTO] 14 November 17:00 Winners of art contest & dance competition awarded [PHOTO] 14 November 16:47 Azerbaijani police seize 1.5 kg of drugs in western district [PHOTO/VIDEO] 14 November 16:27 See more About Professional ethics Contacts Advertising Azernews In Print © Azernews.az 2022 Sign In Login Forgot password? 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Azerbaijan eyes establishing ASAN Service model based on artificial intelligence
Azerbaijan eyes establishing ASAN Service model based artificial intelligence Azernews.Az Wednesday November 16 2022 Latest NATION WORLD BUSINESS OIL AMP; GAS ARMENIAN AGGRESSION ARMENIANAZERBAIJANI CONFLICT EDITORIAL ANALYSIS LIFESTYLE EVENTS HEALTHCARE CULTURE TRAVEL SPORTS OUR WRITERS Azerbaijan eyes establishing ASAN Service model based artificial intelligence 16 November 2022 16:25 UTC04:00 By Trend Azerbaijan plans establish ASAN Service model based artificial intelligence, 2025, Director eGov Development Center Republic Azerbaijan Fariz Jafarov said Baku CEO Summit event November 15, Trend reports. Our experience egovernment Indonesia countries. Id like note 320 services 13 public agencies integrated ASAN Service, said. Jafarov said today, 1,000 volunteers 30,000 employed ASAN. In 2022, time, ASAN services provided outside country Trkiye. Azerbaijanis living Trkiye advantage public services mobile service center, said. 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Latest Azerbaijani Defense Minister visits Georgias National Defense Academy [PHOTO] 16:56 Blinken urges Pashinyan continue negotiations 16:41 Azerbaijan eyes establishing ASAN Service model based artificial intelligence 16:25 Azerbaijan Army holds demonstration battalion tactical drills [PHOTOVIDEO] 16:12 Azerbaijani Parliament starts discussions state budget 2023 plenary meeting 15:59 Philharmonic Hall hosts stunning concert honor eminent composer [PHOTO] 15:37 Azerbaijan, Russia mull border demarcation Derbent 15:22 Perpetrators Istanbul bomb blast want intimidate Trkiye, Azerbaijan veteran 15:15 Austrian press reports Frances provocative resolution Azerbaijan 14:45 Russias Novgorod plans business mission Azerbaijan expand ties 14:27 Azerbaijans Mortgage, Credit Guarantee Fund makes bond payments 14:15 Azerbaijan censures French Senate resolution biased, onesided, serving Armenian diaspora 13:48 Azerbaijani Central Bank, WB discuss coop prospects 13:35 15th meeting International Sovereign Fund Forum held Madrid 13:12 Ankara host memorial concert mark Fikrat Amirovs centenary 12:59 BTSs golden maknae perform FIFA World Cup 2022 12:41 Iran regime said removing garbage containers ahead nationwide protests 12:24 Turkiye hosts collective military training Turkic states [VIDEO] 12:05 Minister: Azerbaijan boosts electricity output renewable sources 11:53 Azerbaijan, EBRD sign MoU technical support electricity sector devt [PHOTO] 11:39 Heating buildings Shusha restored 11:19 Armenia shells Azerbaijani positions Kalbajar direction 11:02 Shusha inks protocols different cities [PHOTO] 10:45 Samira Efendi join Eurovision stars Amsterdam [PHOTO] 10:24 Both Azerbaijan Trkiye fighting terror years expert [VIDEO] 10:07 Central Asia Review: Samarkand Summit Organization Turkic States 09:59 Azerbaijans Kapital Bank increases digital channels business, staff support 09:15 Secret withdrawal funds cards considered theft Azerbaijan resolution 08:30 Chinese leader Xi Jinping meets French President Macron 15 November 23:19 Kazakhstans tenge exchange rate strengthens October 15 November 22:47 Iranian currency rates November 15 15 November 22:12 Gas price Europe hits 1,340 1,000 cubic meters 15 November 21:43 President Ilham Aliyev completes state visit Albania [PHOTO] 15 November 21:25 Indonesian president opens G20 summit Bali 15 November 21:14 Dinner hosted behalf Prime Minister Albania honor President Ilham Aliyev 15 November 20:51 Uzbekistan, Hungary sign documents fields economy 15 November 20:45 UN Human Rights Council hold special session situation Iran 15 November 20:16 EBRD President visit Uzbekistan 15 November 19:53 Central Bank holds regular foreign exchange auction 15 November 19:15 Head Association Azerbaijans Friends addresses Emmanuel Macron, Senate France 15 November 18:40 Iran opposes Israel strengthening relations Azerbaijan, Bahrain, threatening region Jerusalem Post 15 November 18:10 Azerbaijani diaspora picketing French Senate Paris [PHOTO] 15 November 17:59 Bosnia Herzegovina keen gaining access Azerbaijani gas president 15 November 17:49 President Ilham Aliyev visits Mother Albania monument Tirana [PHOTO] 15 November 17:42 European Film Festival returns big screen Baku [PHOTO] 15 November 17:34 Irans drug traffic thousandyearlong communication route [PHOTO] 15 November 17:24 Azerbaijani traditional dance spotlight Geneva [PHOTO] 15 November 17:15 Azerbaijani, Albanian presidents hold expanded meeting official lunch [VIDEO] 15 November 17:11 TRACECA cargo transport Azerbaijan JanSep 22 15 November 16:57 National Olympic Committee: Rise Sports Olympus [PHOTO] 15 November 16:37 Envoy: AzerbaijaniUK ties growing stronger [PHOTO] 15 November 16:18 Azerbaijani, Albanian presidents press statements [UPDATE] 15 November 16:15 Procter Gamble creates 700 jobs Azerbaijan [PHOTO] 15 November 15:57 Azerbaijani envoy Switzerland attends lunch honor Swiss President [PHOTO] 15 November 15:37 Azerbaijans foreign trade hits 41.2bn 3Q2022 15 November 15:17 Azerbaijani, Albanian presidents hold oneonone meeting [PHOTOVIDEO] 15 November 15:02 Carpet Museum named popular tourist destination 15 November 14:57 South Caucasus Weekly Review looks major developments Armenia, Georgia Azerbaijan 15 November 14:37 Tirana gives redcarpet welcome President Ilham Aliyev [PHOTOVIDEO] 15 November 14:31 President Ilham Aliyev arrives Albania state visit [PHOTO] 15 November 14:16 Azerbaijan, ISSA eye prospects cooperation devt 15 November 13:53 Azerbaijani, Iranian foreign ministers discuss regional situation 15 November 13:34 Azerbaijani oil prices decrease 15 November 13:14 Baku host XI AzerbaijaniRussian interregional forum 15 November 12:56 Azerbaijan, WB discuss new initiatives prospects coop [PHOTO] 15 November 12:35 First VP Mehriban Aliyeva resigns position UNESCO goodwill ambassador [UPDATE] 15 November 12:30 Circus artists perform colorful [PHOTO] 15 November 12:14 Azerbaijan, UNIDO ink accord cooperation 202226 [PHOTO] 15 November 11:55 President Ilham Aliyev congratulates President Palestine Mahmoud Abbas 15 November 11:34 Azerbaijan play pivotal role EUs energy security years come Bruegel 15 November 11:33 Azerbaijani manat exchange rate global currencies November 15 15 November 11:15 Azerbaijani racers win spots King Drift Georgia 2022 [PHOTO] 15 November 11:10 Young gymnasts stun sports fans complex elements [PHOTO] 15 November 10:47 Azerbaijan defuses 700 mines munitions deoccupied Karabakh week 15 November 10:24 Group Azerbaijani State Social Protection Funds employees awarded Taraggi medal decree 15 November 10:05 Volume transshipment Port Baku exceed 6m tons 2022 15 November 09:59 Slovenia elects female president 15 November 09:21 UK Prime Minister Rishi Sunak arrives Bali G20 summit 15 November 08:17 Iran begins car exports Venezuela 14 November 23:10 Ebola spreads eastern Uganda: official 14 November 22:48 IMF says global economic outlook getting gloomier, risks abound 14 November 22:17 Russell takes maiden F1 win Sao Paulo GP 14 November 21:43 Flash floods Australias southeast cut inland towns 14 November 21:16 Iranian currency rates November 14 14 November 20:56 Japan working arranging summit meeting Chinas Xi 14 November 20:11 Kazakhstans economy suffering situation Ukraine MFA 14 November 19:52 French media covers Organization Turkic States activity proof President Ilham Aliyevs farsighted policy 14 November 19:24 Georgia hosts Scandinavian tour operators tourism potential promotion 14 November 19:16 Azerbaijan confirms 4 COVID19 cases, 3 recoveries 14 November 18:50 Russian MFA denies information FM Lavrovs hospitalization Indonesia 14 November 18:44 Azerbaijani citizens longer required COVID19 vaccination travel UAE 14 November 18:32 Europe plan replace molecule Russian gas Kadri Simson 14 November 18:12 Pathetic sorrows escape tunnels flutter like wounded lepidoptera Pashinyans mind 14 November 17:59 Zakir Hasanov Georgian PM discuss regional militarypolitical situation [PHOTO] 14 November 17:48 Results 51st Artistic Gymnastics World Championships competition excited European Gymnastics Farid Gayibov 14 November 17:35 Azerbaijan, Georgia sign military cooperation plan 2023 [PHOTO] 14 November 17:29 Pundit: Pashinyans accusations based inferiority complex 14 November 17:09 Turkish Albayrak talks Middle Corridors big role cargo shipment China Europe [PHOTO] 14 November 17:00 Winners art contest dance competition awarded [PHOTO] 14 November 16:47 Azerbaijani police seize 1.5 drugs western district [PHOTOVIDEO] 14 November 16:27 See About Professional ethics Advertising Azernews In Print Azernews.az 2022 Forgot password? 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SAMBA Pro Fiber Patch Placement System of Fraunhofer IGCV in New AI Research Hall “Hall 43” of Augsburg University
SAMBA Pro Fiber Patch Placement System of Fraunhofer IGCV in New AI Research Hall “Hall 43” of Augsburg University We use cookies to enhance your experience. By continuing to browse this site you agree to our use of cookies. More info. Accept Cookie Settings Skip to content About News Articles Directory Equipment Videos Webinars Interviews More... Metals Store Journals Software Market Reports Books eBooks Advertise Contact Newsletters Search Metals Store Journals Software Market Reports Books eBooks Advertise Contact Newsletters Search LinkedIn Facebook Twitter Instagram Become a Member Search Menu Posted in | News | Materials Research | Fibers SAMBA Pro Fiber Patch Placement System of Fraunhofer IGCV in New AI Research Hall “Hall 43” of Augsburg University Download PDF CopyView Supplier Profile From Cevotec GmbHSep 27 2023Reviewed by Skyla Baily IGCV’s SAMBA Pro Prepreg system has found its new home in “Hall 43”. This is the new AI research hall of Augsburg University, which was inaugurated in June 2023. The production system is now up and running and is being used to investigate innovative machine learning approaches. It is also available for interested companies to explore and evaluate the feasibility of parts in Fiber Patch Placement (FPP) design together with Fraunhofer IGCV. F.l.t.r.: Marc Kornmesser (Cevotec), Marc Alexander (Cevotec), Dr. Renato Bezerra (IGCV), Dr. Dimitrios Sikoutris (Cevotec). Image Credit: Cevotec In 2020, the Fraunhofer Institute for Casting, Composite and Processing Technology IGCV has taken a SAMBA Pro Prepreg production system from Cevotec into operation at the Fiber Placement Center in Meitingen, Germany. However, with the unveiling of the Augsburg AI Production Network, an alliance of esteemed partners, including Fraunhofer IGCV, the decision was made to relocate the SAMBA Pro system to the research hall of Augsburg University. The aim of the production network is joint research into AI-based production technologies at the interface between materials, manufacturing technologies, data-based modeling and digital business models. “The commissioning of the FPP system in Hall 43 provides us with excellent conditions to drive forward research in the areas of digitalization and AI in composite manufacturing. Both the environment and the existing AI production network consortium are ideal for exploring such approaches. We hope to transfer approaches successfully tested at the FPP system to other manufacturing technologies as well”, comments Dr. Renato Bezerra, Research Associate & Project Lead from the institute. The Cevotec SAMBA system features a laser cutting unit in order to ensure maximum flexibility in terms of geometry and patch edges. The entire material feed is temperature-controlled, so that the pre-impregnated materials can be processed in a controlled environment. The robots in the system are the proven pair of TP80 pick-and-place robot and the TX200 tool manipulator from Stäubli. “This configuration enables a high lay-up frequency combined with a very high positioning accuracy, allowing for a fully automated lay-up of complex geometries of medium to small dimensions,” explains Dr. Dimitrios Sikoutris, Expert Composites & FPP Technology at Cevotec. “We look forward to further developing the FPP technology together with Fraunhofer IGCV and to opening up new fields of application”, states Thorsten Groene, CEO and Co-Founder of Cevotec. “The production system serves interested companies from various sectors for active technology and application development, together with the researchers of the Fraunhofer Institute.” Dr. Renato Bezerra adds: “In addition to research focusing on AI and digitization, interested partners can use the SAMBA system to investigate and evaluate the feasibility of components in FPP design and develop components for transfer to series production.” Source: https://www.cevotec.com/ Download PDF CopyView Supplier Profile Citations Please use one of the following formats to cite this article in your essay, paper or report:APACevotec GmbH. (2023, September 27). SAMBA Pro Fiber Patch Placement System of Fraunhofer IGCV in New AI Research Hall “Hall 43” of Augsburg University. AZoM. Retrieved on September 27, 2023 from https://www.azom.com/news.aspx?newsID=61923.MLACevotec GmbH. "SAMBA Pro Fiber Patch Placement System of Fraunhofer IGCV in New AI Research Hall “Hall 43” of Augsburg University". AZoM. 27 September 2023. <https://www.azom.com/news.aspx?newsID=61923>.ChicagoCevotec GmbH. "SAMBA Pro Fiber Patch Placement System of Fraunhofer IGCV in New AI Research Hall “Hall 43” of Augsburg University". AZoM. https://www.azom.com/news.aspx?newsID=61923. (accessed September 27, 2023).HarvardCevotec GmbH. 2023. SAMBA Pro Fiber Patch Placement System of Fraunhofer IGCV in New AI Research Hall “Hall 43” of Augsburg University. AZoM, viewed 27 September 2023, https://www.azom.com/news.aspx?newsID=61923. Comments Tell Us What You Think Do you have a review, update or anything you would like to add to this news story? Cancel reply to comment Leave your feedback Login     (Logout) Your comment type Public Comment Private Feedback to AZoM.com Submit Latestinterviews Featuredequipment Trendingstories What is Glow Discharge Spectrometry? Andrew P. Storey In this interview, AZoM speaks to LECO's Andrew Storey about glow discharge spectrometry and the opportunities offered by LECO's GDS950. How Blue Scientific is Bridging the Gap Between Science and Industry Tom Warwick At the Advanced Materials Show 2023, AZoM sat down with Tom Warwick, Director and one of the two Founders of Blue Scientific, to discuss the rapid growth of the business and its ambitions for the future. The Importance of Mechanical Testing for Electric Vehicle Batteries Phil Levesque & Charlie Pryor In this interview, AZoM speaks to Instron's Phil Levesque and Charles Pryor about the importance of mechanical testing for electric vehicle batteries. Introducing QGA 2.0 - Next-Generation Gas AnalysisDiscover Hiden's newest addition to gas analysis technology - the QGA 2.0. This state-of-the-art system is a drastic improvement of the QGA system providing higher performance levels. From Hiden Analytical Alemnis’ EBSD Heating Stage–The HTME-1000 ModuleThis product profile explores the features and applications of the HTME-1000 module - Alemnis EBSD Heating Stage. From Alemnis AG XSeeker 8000: benchtop X-Ray computed tomography systemDiscover the XSeeker 8000 by Tinius Olsen - a compact benchtop X-Ray computed tomography (CT) system. From Shimadzu Scientific Instruments 1New Breakthrough in 2D Semiconductors Could Lead to More Efficient Chips2New Way to Mass Produce Cheaper, Lighter Perovskite Solar Cells3The Sparkling Potential of Lab-Grown Diamonds in Energy Transformation4Silica Particles Found in Food and Makeup Could Be Chemically Reactive, Study Finds5Toyota Sets Out Advanced Battery Technology Roadmap6EVIDENT Announces Alliance to Automate Digital Pathology Workflows Sponsored Content Analyzing Hydrogen Purity with Spectroscopic Technologies From Process Insights 26 Sep 2023 Insights into Deep Level Transient Spectroscopy with Semilab From Semilab Semiconductor Physics Laboratory 21 Sep 2023 Biomarker Detection Using Diamond Nitrogen Vacancy (DNV™) Magnetometry From Element Six 21 Sep 2023 Monitoring the Natural Quality of Gas From ABB Measurement & Analytics - Analytical Measurement Products 20 Sep 2023 Editorial HighlightsThe Current State of the Global Semiconductor MarketThe global semiconductor market has entered an exciting period. Demand for chip technology is both driving the industry as well as hindering it, with current chip shortages predicted to last for some time. Current trends will likely shape the future of the industry, which is set to continue to showHow are Graphene Batteries Made?The primary distinction between graphene-based batteries and solid-state batteries lies in the composition of either electrode. Although the cathode is commonly changed, carbon allotropes can also be employed in fabricating anodes.What Role Will The IoT Play In The Electric Vehicle Industry?In recent years, the IoT is rapidly being introduced into almost all sectors, but it has particular importance in the EV industry. 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SAMBA Pro Fiber Patch Placement System of Fraunhofer IGCV in New AI Research Hall “Hall 43” of Augsburg University
SAMBA Pro Fiber Patch Placement System Fraunhofer IGCV New AI Research Hall Hall 43 Augsburg University We use cookies enhance experience. By continuing browse site agree use cookies. More info. Accept Settings Skip content About News Articles Directory Equipment Videos Webinars Interviews More... Metals Store Journals Software Market Reports Books eBooks Advertise Newsletters Metals Store Journals Software Market Reports Books eBooks Advertise Newsletters LinkedIn Facebook Twitter Instagram Become Member Menu Posted News Materials Research Fibers SAMBA Pro Fiber Patch Placement System Fraunhofer IGCV New AI Research Hall Hall 43 Augsburg University Download PDF CopyView Supplier Profile From Cevotec GmbHSep 27 2023Reviewed Skyla Baily IGCVs SAMBA Pro Prepreg new home Hall 43. This new AI research hall Augsburg University, inaugurated June 2023. The production running investigate innovative machine learning approaches. It available interested companies explore evaluate feasibility parts Fiber Patch Placement FPP design Fraunhofer IGCV. F.l.t.r.: Marc Kornmesser Cevotec, Marc Alexander Cevotec, Dr. Renato Bezerra IGCV, Dr. Dimitrios Sikoutris Cevotec. Image Credit: Cevotec In 2020, Fraunhofer Institute Casting, Composite Processing Technology IGCV taken SAMBA Pro Prepreg production Cevotec operation Fiber Placement Center Meitingen, Germany. However, unveiling Augsburg AI Production Network, alliance esteemed partners, including Fraunhofer IGCV, decision relocate SAMBA Pro research hall Augsburg University. The aim production network joint research AIbased production technologies interface materials, manufacturing technologies, databased modeling digital business models. The commissioning FPP Hall 43 provides excellent conditions drive forward research areas digitalization AI composite manufacturing. Both environment existing AI production network consortium ideal exploring approaches. We hope transfer approaches successfully tested FPP manufacturing technologies well, comments Dr. Renato Bezerra, Research Associate Project Lead institute. The Cevotec SAMBA features laser cutting unit order ensure maximum flexibility terms geometry patch edges. The entire material feed temperaturecontrolled, preimpregnated materials processed controlled environment. The robots proven pair TP80 pickandplace robot TX200 tool manipulator Stubli. This configuration enables high layup frequency combined high positioning accuracy, allowing fully automated layup complex geometries medium small dimensions, explains Dr. Dimitrios Sikoutris, Expert Composites FPP Technology Cevotec. We look forward developing FPP technology Fraunhofer IGCV opening new fields application, states Thorsten Groene, CEO CoFounder Cevotec. The production serves interested companies sectors active technology application development, researchers Fraunhofer Institute. Dr. Renato Bezerra adds: In addition research focusing AI digitization, interested partners use SAMBA investigate evaluate feasibility components FPP design develop components transfer series production. Source: Download PDF CopyView Supplier Profile Citations Please use following formats cite article essay, paper report:APACevotec GmbH. 2023, September 27. SAMBA Pro Fiber Patch Placement System Fraunhofer IGCV New AI Research Hall Hall 43 Augsburg University. AZoM. Retrieved September 27, 2023 GmbH. SAMBA Pro Fiber Patch Placement System Fraunhofer IGCV New AI Research Hall Hall 43 Augsburg University. AZoM. 27 September 2023. < GmbH. SAMBA Pro Fiber Patch Placement System Fraunhofer IGCV New AI Research Hall Hall 43 Augsburg University. AZoM. accessed September 27, 2023.HarvardCevotec GmbH. 2023. SAMBA Pro Fiber Patch Placement System Fraunhofer IGCV New AI Research Hall Hall 43 Augsburg University. AZoM, viewed 27 September 2023, Comments Tell Us What You Think Do review, update like add news story? Cancel reply comment Leave feedback Logout Your comment type Public Comment Private Feedback Submit Latestinterviews Featuredequipment Trendingstories What Glow Discharge Spectrometry? Andrew P. Storey In interview, AZoM speaks LECOs Andrew Storey glow discharge spectrometry opportunities offered LECOs GDS950. How Blue Scientific Bridging Gap Between Science Industry Tom Warwick At Advanced Materials Show 2023, AZoM sat Tom Warwick,Director Founders Blue Scientific, discuss rapid growth business ambitions future. The Importance Mechanical Testing Electric Vehicle Batteries Phil Levesque Charlie Pryor In interview, AZoM speaks Instrons Phil Levesque Charles Pryor importance mechanical testing electric vehicle batteries. Introducing QGA 2.0 NextGeneration Gas AnalysisDiscover Hidens newest addition gas analysis technology QGA 2.0. This stateoftheart drastic improvement QGA providing higher performance levels. From Hiden Analytical Alemnis EBSD Heating StageThe HTME1000 ModuleThis product profile explores features applications HTME1000 module Alemnis EBSD Heating Stage. From Alemnis AG XSeeker 8000: benchtop XRay computed tomography systemDiscover XSeeker 8000 Tinius Olsen compact benchtop XRay computed tomography CT system. From Shimadzu Scientific Instruments 1New Breakthrough 2D Semiconductors Could Lead More Efficient Chips2New Way Mass Produce Cheaper, Lighter Perovskite Solar Cells3The Sparkling Potential LabGrown Diamonds Energy Transformation4Silica Particles Found Food Makeup Could Be Chemically Reactive, Study Finds5Toyota Sets Out Advanced Battery Technology Roadmap6EVIDENT Announces Alliance Automate Digital Pathology Workflows Sponsored Content Analyzing Hydrogen Purity Spectroscopic Technologies From Process Insights 26 Sep 2023 Insights Deep Level Transient Spectroscopy Semilab From Semilab Semiconductor Physics Laboratory 21 Sep 2023 Biomarker Detection Using Diamond Nitrogen Vacancy DNV Magnetometry From Element Six 21 Sep 2023 Monitoring Natural Quality Gas From ABB Measurement Analytics Analytical Measurement Products 20 Sep 2023 Editorial HighlightsThe Current State Global Semiconductor MarketThe global semiconductor market entered exciting period. Demand chip technology driving industry hindering it, current chip shortages predicted time. Current trends likely shape future industry, set continue showHow Graphene Batteries Made?The primary distinction graphenebased batteries solidstate batteries lies composition electrode. Although cathode commonly changed, carbon allotropes employed fabricating anodes.What Role Will The IoT Play In The Electric Vehicle Industry?In recent years, IoT rapidly introduced sectors, particular importance EV industry. Newsletters interested Composites Preview Industrial Automation Robotics Preview Lasers Preview See Newsletters Other Sites AZoNetwork AZoNano AZoRobotics AZoCleantech AZoOptics AZoBuild AZoMining AZoSensors AZoQuantum AZoAi News Medical AZoLifeSciences Useful Links News Articles Directory Equipment Books eBooks Videos Events Metals Store Journals Software Webinars Interviews Market Reports Materials Applications Industries AZojomo Podcasts Experts The Team Become Member Newsletters About HelpFAQs Advertise Terms Conditions Privacy Policy Sitemap LinkedIn Facebook Twitter Instagram An AZoNetwork Site Owned operated AZoNetwork, 20002023 Update Your Privacy Preferences
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Google's search for an AI future as it turns 25 - BBC News
Google's search for an AI future as it turns 25 - BBC NewsBBC HomepageSkip to contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menuSearch BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar in UkraineClimateVideoWorldUS & CanadaUKBusinessTechScienceMoreEntertainment & ArtsHealthIn PicturesBBC VerifyWorld News TVNewsbeatTechGoogle's search for an AI future as it turns 25Published1 hour agoShareclose panelShare pageCopy linkAbout sharingImage source, Getty ImagesBy Zoe KleinmanTechnology editorThe tech giant Google and I almost share the same birthday... give or take a few years.Google turns 25 this month (I'll have a few more candles on my cake) - and finds itself in a tech landscape that has changed dramatically since founders Larry Page and Sergey Brin started it in 1998. Back then Google was only a search engine, and it lived for its first few months in the garage of Susan Wojcicki - the future boss of YouTube.You do not need me to tell you how well that search engine worked out. It has been 17 years since the word Google officially entered the dictionary. I remember a BBC discussion about whether we should use it as a verb on-air because of its potential to be a free advert for the firm.That company - now part of a larger parent group called Alphabet - has since diversified into pretty much every area of tech and dominates some of them to an extent which sometimes troubles anti-competition regulators. Right now it is trying to Google itself into pole position in the AI race - but some say it has already fallen behind.Hits and missesEmail and smartphones, software and hardware, driverless cars, digital assistants, YouTube - Google has spawned (and acquired) hundreds of products and services. Not all of them have worked out. There are 288 retired projects listed on the Killed by Google website, include gaming platform Stadia and budget VR headset Google Cardboard.Image source, Getty ImagesImage caption, Google vice-president Phil Harrison showed off the Stadia controller on-stage at its launch in 2019The question now is whether Google can maintain its omnipresence in the rapidly evolving world of artificial intelligence.There have been mutterings, including from within, that it has fallen behind. A leaked memo from a Google engineer found its way on to the net, in which he said the firm had no AI "secret sauce" and was not in a position to win the race. This feeling was further fuelled by the battle of the bots.What is AI, is it dangerous and what jobs are at risk?'Google killer' ChatGPT sparks AI chatbot raceGoogle what our chatbot tells you... says GoogleFor many people, the first time they knowingly interacted with AI - and were impressed by it - came in the form of ChatGPT, the viral AI chatbot which exploded into the world in November 2022. Its creator OpenAI has received billions of dollars in investment from Microsoft, which is now working it into its own products, including the Bing search engine and Office 365. ChatGPT has been dubbed the "Google killer" because of the way it can answer a question in one go, rather than serve up pages and pages of search results.It uses a language-processing architecture called a transformer which was actually invented by Google, but when Google followed up a few months later with its own rival Bard, it had nowhere near the same impact.Bard was given a surprisingly cautious launch. It was not for under-18s, the tech giant said, and it was described to me as "an experiment" by a senior exec.Perhaps part of its caution was in part a result of a weird situation which preceded Bard.Sentient debatesThe foundation of a chatbot is a Large Language Model, or LLM. One of Google's original LLMs was called Lamda.An engineer who worked on it became convinced that it was sentient. He published pages and pages of conversations which he claimed proved his point - that Lamda was sharing real emotions and thoughts. This is of course exactly what an LLM is trained to do - generate authentically human-like text. Google has consistently denied that Lamda was doing anything more than that, and the engineer was fired.But it created headlines around the world and heightened nervousness about AI long before the debate was topical - headlines of which perhaps Google would have preferred not to have been part.The firm has certainly not given up. At the IO developers conference in May, Google announced 25 new AI-driven products. In a statement on its website it declares itself to be "at the forefront of advancing the frontier of AI". It owns leading UK-based AI firm DeepMind, whose AI program AlphaFold has the potential to supercharge the discovery of new medications.In August, Chirag Dekate, from the analyst firm Gartner, attended the future-gazing event Google Next, which he said was all about AI."Google is gearing for leadership in the emerging Generative AI economy," he says.'Not-so-secret weapon'Image source, Getty ImagesAnalyst Carolina Milanesi, from the firm Creative Strategies, also thinks we should not be so quick to write off Google AI. "I do not really buy into the 'they missed the boat on AI' conversation," she says."The opportunity for them is in AI both on the consumer and enterprise side."Susannah Streeter, head of money and markets at the investor Hargreaves Lansdown, agrees. Google's not-so-secret AI weapon could lie in its successful cloud business, she argues. Cloud companies offer access to huge networks of computers and processing power that would be logistically difficult for most companies to own or house by themselves. "Alphabet is positioning itself to be at the centre of the AI revolution with its Google Cloud business, given the huge demand from businesses large and small to update infrastructure and storage ready to whirr through huge generative AI workloads," she says."It may still be the smallest of the three big cloud providers, behind Amazon Web Services and Microsoft Azure - but it still packs a punch."Journalist Tim Dowling once wrote about avoiding Google's consumer services for one week. He described trying to organise a trip to the cinema as being "like shopping by candlelight". If just a fraction of Google's AI products can embed themselves in the same way, it should be able to keep the lights on.Related TopicsCompaniesGoogleArtificial intelligenceMore on this storyWhat is AI and is it dangerous?Published14 JuneGoogle launches ChatGPT rival called BardPublished6 February'Google killer' ChatGPT sparks AI chatbot racePublished6 FebruaryTop StoriesThreats and insults: How Russian diplomacy diedPublished1 hour agoBurning Man festival turns to mud after heavy rainPublished57 minutes agoIsraeli police clash with Eritrean asylum seekersPublished6 hours agoloadingFeaturesFour sons set out on a perilous migration route. Only one came homeThreats and insults: How Russian diplomacy diedWhy your burger may not always look like the advertChina anger over Fukushima fuelled by disinformationBerliners rave against the motorwayGoogle's search for an AI future as it turns 25Are US politicians too old? Voters weigh inWhy Henry Ford imported a Cotswold cottage to USThe mysterious Mormon alphabet that time (almost) forgot. VideoThe mysterious Mormon alphabet that time (almost) forgotElsewhere on the BBCFive of the best countries for expats in 2023How bad skin influences ageIs Hollywood self-destructing?Most Read1Threats and insults: How Russian diplomacy died2Burning Man festival turns to mud after heavy rain3Ukraine billionaire held in anti-corruption drive4Urgent mission launched to rescue Antarctic researcher5Video shows police fatally shooting pregnant woman6Former top US diplomat Bill Richardson dies aged 757Why your burger may not always look like the advert8Why Henry Ford imported a Cotswold cottage to US9US singer-songwriter Jimmy Buffett dies aged 7610Israeli police clash with Eritrean asylum seekersBBC News ServicesOn your mobileOn smart speakersGet news alertsContact BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with us© 2023 BBC. 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Google's search for an AI future as it turns 25
Googles search AI future turns 25 BBC NewsBBC HomeSkip contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menu BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar UkraineClimateVideoWorldUS CanadaUKBusinessTechScienceMoreEntertainment ArtsHealthIn PicturesBBC VerifyWorld News TVNewsbeatTechGoogles search AI future turns 25Published1 hour agoShareclose panelShare Copy linkAbout sharingImage source, Getty ImagesBy Zoe KleinmanTechnology editorThe tech giant Google I share birthday... years.Google turns 25 month Ill candles cake finds tech landscape changed dramatically founders Larry Page Sergey Brin started 1998. Back Google search engine, lived months garage Susan Wojcicki future boss YouTube.You need tell search engine worked out. It 17 years word Google officially entered dictionary. I remember BBC discussion use verb onair potential free advert firm.That company larger parent group called Alphabet diversified pretty area tech dominates extent troubles anticompetition regulators. Right trying Google pole position AI race fallen behind.Hits missesEmail smartphones, software hardware, driverless cars, digital assistants, YouTube Google spawned acquired hundreds products services. Not worked out. There 288 retired projects listed Killed Google website, include gaming platform Stadia budget VR headset Google Cardboard.Image source, Getty ImagesImage caption, Google vicepresident Phil Harrison showed Stadia controller onstage launch 2019The question Google maintain omnipresence rapidly evolving world artificial intelligence.There mutterings, including within, fallen behind. A leaked memo Google engineer way net, said firm AI secret sauce position win race. This feeling fuelled battle bots.What AI, dangerous jobs risk?Google killer ChatGPT sparks AI chatbot raceGoogle chatbot tells you... says GoogleFor people, time knowingly interacted AI impressed came form ChatGPT, viral AI chatbot exploded world November 2022. Its creator OpenAI received billions dollars investment Microsoft, working products, including Bing search engine Office 365. ChatGPT dubbed Google killer way answer question go, serve search results.It uses languageprocessing architecture called transformer actually invented Google, Google followed months later rival Bard, near impact.Bard given surprisingly cautious launch. It under18s, tech giant said, described experiment senior exec.Perhaps caution result weird situation preceded Bard.Sentient debatesThe foundation chatbot Large Language Model, LLM. One Googles original LLMs called Lamda.An engineer worked convinced sentient. He published conversations claimed proved point Lamda sharing real emotions thoughts. This course exactly LLM trained generate authentically humanlike text. Google consistently denied Lamda that, engineer fired.But created headlines world heightened nervousness AI long debate topical headlines Google preferred part.The firm certainly given up. At IO developers conference May, Google announced 25 new AIdriven products. In statement website declares forefront advancing frontier AI. It owns leading UKbased AI firm DeepMind, AI program AlphaFold potential supercharge discovery new medications.In August, Chirag Dekate, analyst firm Gartner, attended futuregazing event Google Next, said AI.Google gearing leadership emerging Generative AI economy, says.Notsosecret weaponImage source, Getty ImagesAnalyst Carolina Milanesi, firm Creative Strategies, thinks quick write Google AI. I buy missed boat AI conversation, says.The opportunity AI consumer enterprise side.Susannah Streeter, head money markets investor Hargreaves Lansdown, agrees. Googles notsosecret AI weapon lie successful cloud business, argues. Cloud companies offer access huge networks computers processing power logistically difficult companies house themselves. Alphabet positioning centre AI revolution Google Cloud business, given huge demand businesses large small update infrastructure storage ready whirr huge generative AI workloads, says.It smallest big cloud providers, Amazon Web Services Microsoft Azure packs punch.Journalist Tim Dowling wrote avoiding Googles consumer services week. He described trying organise trip cinema like shopping candlelight. If fraction Googles AI products embed way, able lights on.Related TopicsCompaniesGoogleArtificial intelligenceMore storyWhat AI dangerous?Published14 JuneGoogle launches ChatGPT rival called BardPublished6 FebruaryGoogle killer ChatGPT sparks AI chatbot racePublished6 FebruaryTop StoriesThreats insults: How Russian diplomacy diedPublished1 hour agoBurning Man festival turns mud heavy rainPublished57 minutes agoIsraeli police clash Eritrean asylum seekersPublished6 hours agoloadingFeaturesFour sons set perilous migration route. Only came homeThreats insults: How Russian diplomacy diedWhy burger look like advertChina anger Fukushima fuelled disinformationBerliners rave motorwayGoogles search AI future turns 25Are US politicians old? Voters weigh inWhy Henry Ford imported Cotswold cottage USThe mysterious Mormon alphabet time forgot. VideoThe mysterious Mormon alphabet time forgotElsewhere BBCFive best countries expats 2023How bad skin influences ageIs Hollywood selfdestructing?Most Read1Threats insults: How Russian diplomacy died2Burning Man festival turns mud heavy rain3Ukraine billionaire held anticorruption drive4Urgent mission launched rescue Antarctic researcher5Video shows police fatally shooting pregnant woman6Former US diplomat Bill Richardson dies aged 757Why burger look like advert8Why Henry Ford imported Cotswold cottage US9US singersongwriter Jimmy Buffett dies aged 7610Israeli police clash Eritrean asylum seekersBBC News ServicesOn mobileOn smart speakersGet news alerts BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms UseAbout BBCsAccessibility HelpParental Guidance BBCGet Personalised NewslettersWhy trust BBCAdvertise 2023 BBC. The BBC responsible content external sites. Read approach external linking.
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"old", "voters", "weigh", "inwhy", "henry", "ford", "imported", "cotswold", "cottage", "usthe", "mysterious", "mormon", "alphabet", "time", "forgot", "videothe", "mysterious", "mormon", "alphabet", "time", "forgotelsewhere", "bbcfive", "best", "countries", "expats", "bad", "skin", "influences", "ageis", "hollywood", "selfdestructing", "read", "threats", "insults", "russian", "diplomacy", "died", "burning", "man", "festival", "turns", "mud", "heavy", "rain", "ukraine", "billionaire", "held", "anticorruption", "drive", "urgent", "mission", "launched", "rescue", "antarctic", "researcher", "video", "shows", "police", "fatally", "shooting", "pregnant", "woman", "diplomat", "richardson", "dies", "aged", "burger", "look", "like", "advert", "henry", "ford", "imported", "cotswold", "cottage", "jimmy", "buffett", "dies", "aged", "israeli", "police", "clash", "eritrean", "asylum", "seekersbbc", "news", "serviceson", "mobileon", "smart", "speakersget", "news", "alerts", "bbc", "useabout", "helpparental", "guidance", "bbcget", "personalised", "newsletterswhy", "trust", "bbcadvertise", "bbc", "bbc", "responsible", "content", "external", "sites", "read", "approach", "external", "linking" ]
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Europe seeks to limit use of AI in society - BBC News
Europe seeks to limit use of AI in society - BBC NewsBBC HomepageSkip to contentAccessibility HelpBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMoreSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomePrince PhilipCoronavirusVideoWorldUS & CanadaUKBusinessTechScienceStoriesMoreEntertainment & ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsTechEurope seeks to limit use of AI in societyBy Jane WakefieldTechnology reporter Published47 minutes agoSharecloseShare pageCopy linkAbout sharingimage copyrightGetty Imagesimage captionThe new rules distinguish between high and low risk AI systemsThe use of facial recognition for surveillance, or algorithms that manipulate human behaviour, will be banned under proposed EU regulations on artificial intelligence.The wide-ranging proposals, which were leaked ahead of their official publication, also promised tough new rules for what they deem high-risk AI.That includes algorithms used by the police and in recruitment.Experts said the rules were vague and contained loopholes.The use of AI in the military is exempt, as are systems used by authorities in order to safeguard public security.The suggested list of banned AI systems includes:those designed or used in a manner that manipulates human behaviour, opinions or decisions ...causing a person to behave, form an opinion or take a decision to their detrimentAI systems used for indiscriminate surveillance applied in a generalised manner AI systems used for social scoringthose that exploit information or predictions and a person or group of persons in order to target their vulnerabilitiesEuropean policy analyst Daniel Leufer tweeted that the definitions were very open to interpretation."How do we determine what is to somebody's detriment? And who assesses this?" he wrote.For AI deemed to be high risk, member states would have to apply far more oversight, including the need to appoint assessment bodies to test, certify and inspect these systems.And any companies that develop prohibited services, or fail to supply correct information about them, could face fines of up to 4% of their global revenue, similar to fines for GDPR breaches.High-risk examples of AI include:systems which establish priority in the dispatching of emergency servicessystems determining access to or assigning people to educational institutesrecruitment algorithmsthose that evaluate credit worthinessthose for making individual risk assessmentscrime-predicting algorithmsMr Leufer added that the proposals should "be expanded to include all public sector AI systems, regardless of their assigned risk level"."This is because people typically do not have a choice about whether or not to interact with an AI system in the public sector."Sloppy and dangerousMeanwhile Michael Veale, a lecturer in digital rights and regulation at University College London, highlighted a clause that will force organisations to disclose when they are using deepfakes, a particularly controversial use of AI to create fake humans or to manipulate images and videos of real people.He also told the BBC that the legislation was primarily "aimed at vendors and consultants selling - often nonsense- AI technology to schools, hospitals, police and employers".But he added that tech firms who used AI "to manipulate users" may also have to change their practices.With this legislation, the EC has had to walk a difficult tightrope between ensuring AI is used for what it calls "a tool... with the ultimate aim of increasing human wellbeing", and also ensuring it doesn't stop EU countries competing with the US and China over technological innovations.And it acknowledged that AI already informed many aspects of our lives.The European Centre for Not-for-Profit Law, which had contributed to the European Commission's White Paper on AI, told the BBC that there was "lots of vagueness and loopholes" in the proposed legislation."The EU's approach to binary-defining high versus low risk is sloppy at best and dangerous at worst, as it lacks context and nuances needed for the complex AI ecosystem already existing today. "First, the commission should consider risks of AI systems within a rights-based framework - as risks they pose to human rights, rule of law and democracy."Second, the commission should reject an oversimplified low-high risk structure and consider a tier-based approach on the levels of AI risk."The details could change again before the rules are officially unveiled next week. And it is unlikely to become law for several more years.Related TopicsArtificial intelligenceEuropean CommissionTop StoriesBiden: 'It's time to end America's longest war'"It is time for American troops to come home," says Joe Biden, the fourth president to oversee the war.Published5 minutes agoAfghans face pivotal moment as US 'closes the book'Published11 hours agoHow can you mistake a gun for a Taser?Published1 hour agoFeaturesWhy 'stay-at-home parent' is a job title'No say over my body' Video'No say over my body'The student loan bubble 'is going to burst'How can you mistake a gun for a Taser?Afghans face pivotal moment as US 'closes the book'Shadow of sabotage hangs over Iran nuclear deal talksIsrael may be close to herd immunity to Covid'Covid lockdown will make us beg for food again'Meet the writers who told pop stars: 'Stop stealing'Elsewhere on the BBCFootball phrases15 sayings from around the worldMost ReadDisgraced financier Bernie Madoff dies in prison1How can you mistake a gun for a Taser?2Denmark stops use of AstraZeneca vaccine3Chinese man killed in elaborate body-swap scheme4Search for survivors from Louisiana capsized ship5Use of force on George Floyd 'justified'6Stolen Roman statue found in Brussels antique shop7Suez Canal ship held over $900m compensation claim8Biden: 'It's time to end America's longest war'9Police resignations fail to ease unrest over death10BBC News ServicesOn your mobileOn smart speakersGet news alertsContact BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms of UseAbout the BBCPrivacy PolicyCookiesAccessibility HelpParental GuidanceContact the BBCGet Personalised NewslettersWhy you can trust the BBCAdvertise with usAdChoices / Do Not Sell My Info© 2021 BBC. 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Europe seeks to limit use of AI in society
Europe seeks limit use AI society BBC NewsBBC HomeSkip contentAccessibility HelpBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMoreHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomePrince PhilipCoronavirusVideoWorldUS CanadaUKBusinessTechScienceStoriesMoreEntertainment ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsTechEurope seeks limit use AI societyBy Jane WakefieldTechnology reporter Published47 minutes agoSharecloseShare Copy linkAbout sharingimage copyrightGetty Imagesimage captionThe new rules distinguish high low risk AI systemsThe use facial recognition surveillance, algorithms manipulate human behaviour, banned proposed EU regulations artificial intelligence.The wideranging proposals, leaked ahead official publication, promised tough new rules deem highrisk AI.That includes algorithms police recruitment.Experts said rules vague contained loopholes.The use AI military exempt, systems authorities order safeguard public security.The suggested list banned AI systems includes:those designed manner manipulates human behaviour, opinions decisions ...causing person behave, form opinion decision detrimentAI systems indiscriminate surveillance applied generalised manner AI systems social scoringthose exploit information predictions person group persons order target vulnerabilitiesEuropean policy analyst Daniel Leufer tweeted definitions open interpretation.How determine somebodys detriment? And assesses this? wrote.For AI deemed high risk, member states apply far oversight, including need appoint assessment bodies test, certify inspect systems.And companies develop prohibited services, fail supply correct information them, face fines 4 global revenue, similar fines GDPR breaches.Highrisk examples AI include:systems establish priority dispatching emergency servicessystems determining access assigning people educational institutesrecruitment algorithmsthose evaluate credit worthinessthose making individual risk assessmentscrimepredicting algorithmsMr Leufer added proposals expanded include public sector AI systems, regardless assigned risk level.This people typically choice interact AI public sector.Sloppy dangerousMeanwhile Michael Veale, lecturer digital rights regulation University College London, highlighted clause force organisations disclose deepfakes, particularly controversial use AI create fake humans manipulate images videos real people.He told BBC legislation primarily aimed vendors consultants selling nonsense AI technology schools, hospitals, police employers.But added tech firms AI manipulate users change practices.With legislation, EC walk difficult tightrope ensuring AI calls tool... ultimate aim increasing human wellbeing, ensuring doesnt stop EU countries competing US China technological innovations.And acknowledged AI informed aspects lives.The European Centre NotforProfit Law, contributed European Commissions White Paper AI, told BBC lots vagueness loopholes proposed legislation.The EUs approach binarydefining high versus low risk sloppy best dangerous worst, lacks context nuances needed complex AI ecosystem existing today. First, commission consider risks AI systems rightsbased framework risks pose human rights, rule law democracy.Second, commission reject oversimplified lowhigh risk structure consider tierbased approach levels AI risk.The details change rules officially unveiled week. And unlikely law years.Related TopicsArtificial intelligenceEuropean CommissionTop StoriesBiden: Its time end Americas longest warIt time American troops come home, says Joe Biden, fourth president oversee war.Published5 minutes agoAfghans face pivotal moment US closes bookPublished11 hours agoHow mistake gun Taser?Published1 hour agoFeaturesWhy stayathome parent job titleNo body VideoNo bodyThe student loan bubble going burstHow mistake gun Taser?Afghans face pivotal moment US closes bookShadow sabotage hangs Iran nuclear deal talksIsrael close herd immunity CovidCovid lockdown beg food againMeet writers told pop stars: Stop stealingElsewhere BBCFootball phrases15 sayings worldMost ReadDisgraced financier Bernie Madoff dies prison1How mistake gun Taser?2Denmark stops use AstraZeneca vaccine3Chinese man killed elaborate bodyswap scheme4 survivors Louisiana capsized ship5Use force George Floyd justified6Stolen Roman statue Brussels antique shop7Suez Canal ship held 900m compensation claim8Biden: Its time end Americas longest war9Police resignations fail ease unrest death10BBC News ServicesOn mobileOn smart speakersGet news alerts BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms UseAbout BBCsAccessibility HelpParental Guidance BBCGet Personalised NewslettersWhy trust BBCAdvertise usAdChoices Do Not Sell My Info 2021 BBC. The BBC responsible content external sites. Read approach external linking.
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Edge AI Hardware Market 2019 Detailed Analysis and Huge Growth by 2026 – Bandera County Courier
Edge AI Hardware Market 2019 Detailed Analysis and Huge Growth by 2026 – Bandera County Courier Monday, March 16 2020 Trending Retro Fashion Market Opportunities, Growth and Forecasting for next Upcoming Year 2027: Toast, Inc., Square, Inc., Xenial, Inc., LogBase Technologies LLP, POSist Technologies Pvt. Ltd. Pet Transport Service Market All Set to Witness Massive Growth during Forecast 2020-2027 | PetRelocation, Air Animal Pet Movers, Happy Tails travel Inc., Pet Air Carrier, Airpets America Industry Trend On Natural Food Colors & Flavors Market Research Report 2020 Global Analysis and Forecasts To 2026 | Sensient Technologies Corporation, Chr. Hansen Holding A/S Electric Winch Market Revenue Continues to Dominate with CAGR value Globally To 2025 Superwinch, , Warn Industries Detailed Examination of the Global Laser Crystal Market 2020: By Top Leading Vendors like Laser Materials Corporation, Northrop Grumman Corporation, Chengdu Dongjun Laser Co., Ltd Know How Global Prestressed Concrete (PC) Steel Strand Market Is Thriving Continuously By Top Key Players Sumiden Wire, KISWIRE, Guizhou Wire Rope Incorporated Company, Wuhan Iron and Steel Limited Industry Trends in the Global Natural Fatty Acids Market SWOT Analysis by Top Companies in 2026 | BASF SE, Akzo Nobel., Ashland, Croda, Eastman Digital Education Systems Market Expects Massive Growth by 2020-2027 Focusing on Leading Players Blackboard, Jenzabar, Ellucian, CISCO, Echo360, Perspon, CSE, Inxedu, Oppida Comparative Analysis on Global Trading Software Market: Value, Developments, Scope, Dynamics, Revenue, Growth Rate (2020-2028) Cleanroom Technology Market study an emerging hint of opportunity in 2020-2025 with profiling key players – Azbil Corporation, Taikisha Ltd., Kimberly-Clark Corporation, Illinois Tool Works Contact Bandera County Courier Business Health Science Technology World Home/Business/Edge AI Hardware Market 2019 Detailed Analysis and Huge Growth by 2026 Business Edge AI Hardware Market 2019 Detailed Analysis and Huge Growth by 2026 milind March 16, 2020 Facts & Factors Market Research added the latest industry analysis report on “Edge AI Hardware Market by Device (Smartphones, Cameras, Robots, Automobile, Smart Speakers, Wearable, and Smart Mirror) by Processor (CPU, GPU, ASIC, others) by Power Consumption (Less Than 1 W, 1–3 W, 3–5 W, 5–10 W, and More Than 10 W) by Process (Training, and Interface), and Application (Consumer Electronics, Smart Home, Automotive & Transportation, Government, Healthcare, Industrial, Aerospace & Defense, Construction, and Others): Global Industry Outlook, Market Size, Business Intelligence, Consumer Preferences, Statistical Surveys, Comprehensive Analysis, Historical Developments, Current Trends, and Forecasts, 2020–2026” presents the latest industry data and future trends, allowing you to recognize the products and end users driving Revenue growth and profitability of the market. The Edge AI Hardware Market Research Report offers an extensive analysis of key drivers, leading market players, key segments, and regions. Besides this, the experts have deeply studied different geographical areas and presented a competitive scenario to assist new entrants, leading market players, and investors to determine emerging economies. These insights offered in the report would benefit market players to formulate strategies for the future and gain a strong position in the global market. Request Free Sample Copy of Edge AI Hardware Market Research Report @ https://www.fnfresearch.com/sample/edge-ai-hardware-market-by-device-smartphones-cameras-642  **The sample pages of this report is immediately accessible on-demand.** This Free report sample includes: The report covers present status and future prospects. The report analyses market trends, size, and forecast in different geographically. The report provides market competition overview among the Top companies. The report provides a complete analysis of the current and emerging market trends and opportunities. Example pages from the report. FnF research methodology. Furthermore, the report also categorizes the Edge AI Hardware market on the basis of types of products or services, application segments, end-user, regions, and others. Each of the segment’s growth is assessed along with their growth estimation in the forecast period. Also, the Edge AI Hardware market provides a scrupulous study on sales volume, industry size, shares, demand & supply analysis, and value analysis of several firms together with segmental analysis, relating to important geographies. The report begins with a brief introduction and market overview of the Edge AI Hardware Industry followed by its market scope and size. Next, the report provides an overview of market segmentation such as type, application, and region. The drivers, limitations, and opportunities for the market are also listed, along with current trends and policies in the industry. The report provides a detailed study of the growth rate of every segment with the help of charts and tables. Furthermore, various regions related to the growth of the market are analyzed in the report. These regions include the USA, Europe, Japan, China, India, South East Asia, Central, and South America, Middle East and Africa, Other Regions. Besides this, the research demonstrates the growth trends and upcoming opportunities in every region. Analysts have revealed that the Edge AI Hardware market has shown several significant developments over the past few years. The report offers sound predictions on market value and volume that can be beneficial for the market players, investors, stakeholders, and new entrants to gain detailed insights and obtain a leading position in the market. Additionally, the report offers an in-depth analysis of key market players functioning in the global Edge AI Hardware Industry. Make An Enquiry About This Report @ https://www.fnfresearch.com/inquiry/edge-ai-hardware-market-by-device-smartphones-cameras-642 **You may enquire a reported quote OR available discount offers to our sales team before purchase.** Top market players are profiled in this research study Are: Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd, Huawei Technologies Co., Ltd., Google Inc., MediaTek Inc., Xilinx Inc., Imagination Technologies Limited, and Microsoft Corporation, and others. The research presents the performance of each player active in the Edge AI Hardware. It also offers a summary and highlights the current advancements of each player in the market. This piece of data is a great source of study material for the investors and stakeholders interested in the market. In addition, the report offers insights on suppliers, buyers, and merchants in the market. Along with this, a comprehensive analysis of consumption, market share, and growth rate of each application is offered for the historic period. The report clearly shows that the Edge AI Hardware Industry has achieved remarkable progress since 2026 with numerous significant developments boosting the growth of the market. This report is prepared based on a detailed assessment of the industry by experts. To conclude, stakeholders, investors, product managers, marketing executives, and other experts in search of factual data on supply, demand, and future predictions would find the report valuable. Explore Complete TOC/ Ask for Customization @ https://www.fnfresearch.com/customization/edge-ai-hardware-market-by-device-smartphones-cameras-642 **This report can be customized to meet the client’s requirements. Please connect with our sales team, to customize your report according to research needs.** Few Points From TOC: Scope of the Report Executive Summary Information Sources Key Data from Secondary Sources Key Data from Primary Sources …Continued Some important key factors included in the report: Summary of the Edge AI Hardware Market major key players having major count in terms of end-user demands, restraining elements, revenue, sales, share & size. Characteristics of Edge AI Hardware Market including industry growth and restraining factors, the technological advancements, new upcoming growth opportunities, and emerging segments of the Edge AI Hardware Market. Other factors such as Edge AI Hardware Market price, demand, supply, profit/loss, and the growth factor are broadly discussed in the market report. Edge AI Hardware Market size, share, growth factors analysis on regional and country level segments. Market Trends, Drivers, Constraints, Growth Opportunities, Threats, Challenges, Investment Opportunities, and recommendations. The Questions Answered by Pagers Market Report: What are the Key Manufacturers, raw material suppliers, equipment suppliers, end-users, traders And distributors in Pagers Market? What are Growth factors influencing Pagers Market Growth? What are production processes, major issues, and solutions to mitigate the development risk? What is the Contribution from Regional Manufacturers? What are the Key Market segment, market potential, influential trends, and the challenges that the market is facing? And Many More…. About Us: Facts & Factors is a leading market research company and offers customized research reports and consulting services. Facts & Factors aims at management consulting, industry chain research, and advanced research to assist our clients by providing planned revenue model for their business. Our report and services are used by prestigious academic institutions, start-ups, and companies globally to understand the international and regional business background. Our wide-ranging database offers statistics and detailed analysis of different industries worldwide that help the clients in achieving sustainable progress. The well-organized reports help clients in developing strategies and making informed business decisions. Contact Us: Facts & Factors Global Headquarters Level 8, International Finance Center, Tower 2, 8 Century Avenue, Shanghai, Postal – 200120, China Tel: +8621 80360450 E-Mail: [email protected] Web: https://www.fnfresearch.com TagsEdge AI Hardware Market Facebook Twitter Google+ LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share via Email Print milind Related Articles February 26, 2020 10 Sustainable Palm Oil Market Size, Share, Upcoming Trends, Market Growth Analysis by 2026 March 16, 2020 4 Global Autonomous Forklifts Market Industry Analysis, Size, Share, Growth, Trends and Forecast 2019- 2026 March 5, 2020 7 Sustainable Palm Oil Market Share, Market Insight, Business Trends, Statistics, Modest Analysis 2019-2026 February 14, 2020 2 Customer Communication Management Market Industry Latest Trends & Global Outlook 2018-2027 Recent Posts Global Antioxidant BHT Market – GROWTH, TRENDS, AND FORECAST (2019 -2026) March 16, 2020 Global Cream Cheese Market by Manufacturers, Regions, Type and Application, Forecast to 2026 March 16, 2020 Global Cotton Pads Market Industry Growth Analysis, Trend, Future Demand and Leading Players Updates by Forecast to 2026 March 16, 2020 Global Commercial Paving Slabs Market Industry Value Chain Analysis, Porter’s 5 Forces, Regulations 2019-2026 March 16, 2020 Global Allulose Market – Size, Share, Growth, Trends, and Forecast 2019- 2026 March 16, 2020 Global Coin Cell Battery Market Industry Analysis, Size, Share, Growth, Trends and Forecast 2019- 2026 March 16, 2020 Global 5G Fixed Wireless Access (FWA) Analysis, Drivers, Restraints, Opportunities, Threats, Trends, Applications, And Growth Forecast To 2026 March 16, 2020 Global Automotive Wiring Harness Market Sizing estimations and forecasts across 2026 March 16, 2020 Global Car Accessories Market Size by Regional and country level market analysis 2019-2026 March 16, 2020 Global Bus Door System Market Sizing estimations and forecasts across 2026 March 16, 2020 Facebook Twitter WhatsApp Telegram Close Search for: Close Log In Forget? 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Edge AI Hardware Market 2019 Detailed Analysis and Huge Growth by 2026
Edge AI Hardware Market 2019 Detailed Analysis Huge Growth 2026 Bandera County Courier Monday, March 16 2020 Trending Retro Fashion Market Opportunities, Growth Forecasting Upcoming Year 2027: Toast, ., Square, ., Xenial, ., LogBase Technologies LLP, POSist Technologies Pvt. Ltd. Pet Transport Service Market All Set Witness Massive Growth Forecast 20202027 PetRelocation, Air Animal Pet Movers, Happy Tails travel ., Pet Air Carrier, Airpets America Industry Trend On Natural Food Colors Flavors Market Research Report 2020 Global Analysis Forecasts To 2026 Sensient Technologies Corporation, Chr. Hansen Holding AS Electric WinchMarket Revenue Continues Dominate CAGR value Globally To 2025Superwinch, , Warn Industries Detailed Examination Global Laser Crystal Market 2020: By Top Leading Vendors like Laser Materials Corporation, Northrop Grumman Corporation, Chengdu Dongjun Laser Co., Ltd Know How Global Prestressed Concrete PC Steel Strand Market Is Thriving Continuously By Top Key Players Sumiden Wire, KISWIRE, Guizhou Wire Rope orporated Company, Wuhan Iron Steel Limited Industry Trends Global Natural Fatty Acids Market SWOT Analysis Top Companies 2026 BASF SE, Akzo Nobel., Ashland, Croda, Eastman Digital Education Systems Market Expects Massive Growth 20202027 Focusing Leading Players Blackboard, Jenzabar, Ellucian, CISCO, Echo360, Perspon, CSE, Inxedu, Oppida Comparative Analysis Global Trading Software Market: Value, Developments, Scope, Dynamics, Revenue, Growth Rate 20202028 Cleanroom Technology Market study emerging hint opportunity 20202025 profiling key players Azbil Corporation, Taikisha Ltd., KimberlyClark Corporation, Illinois Tool Works Bandera County Courier Business Health Science Technology World HomeBusinessEdge AI Hardware Market 2019 Detailed Analysis Huge Growth 2026 Business Edge AI Hardware Market 2019 Detailed Analysis Huge Growth 2026 milind March 16, 2020 Facts Factors Market Research added latest industry analysis report Edge AI Hardware Market Device Smartphones, Cameras, Robots, Automobile, Smart Speakers, Wearable, Smart Mirror Processor CPU, GPU, ASIC, Power Consumption Less Than 1 W, 13 W, 35 W, 510 W, More Than 10 W Process Training, Interface, Application Consumer Electronics, Smart Home, Automotive Transportation, Government, Healthcare, Industrial, Aerospace Defense, Construction, Others: Global Industry Outlook, Market Size, Business Intelligence, Consumer Preferences, Statistical Surveys, Comprehensive Analysis, Historical Developments, Current Trends, Forecasts, 20202026 presents latest industry data future trends, allowing recognize products end users driving Revenue growth profitability market. TheEdge AI Hardware Market Research Report offers extensive analysis key drivers, leading market players, key segments, regions. Besides this, experts deeply studied different geographical areas presented competitive scenario assist new entrants, leading market players, investors determine emerging economies. These insights offered report benefit market players formulate strategies future gain strong position global market. Request Free Sample Copy Edge AI Hardware Market Research Report @ The sample report immediately accessible ondemand. This Free report sample includes: The report covers present status future prospects. The report analyses market trends, size, forecast different geographically. The report provides market competition overview Top companies. The report provides complete analysis current emerging market trends opportunities. Example report. FnF research methodology. Furthermore, report categorizes Edge AI Hardware market basis types products services, application segments, enduser, regions, others. Each segments growth assessed growth estimation forecast period. Also, Edge AI Hardware market provides scrupulous study sales volume, industry size, shares, demand supply analysis, value analysis firms segmental analysis, relating important geographies. The report begins brief introduction market overview Edge AI Hardware Industry followed market scope size. Next, report provides overview market segmentation type, application, region. The drivers, limitations, opportunities market listed, current trends policies industry. The report provides detailed study growth rate segment help charts tables. Furthermore, regions related growth market analyzed report. These regions include USA, Europe, Japan, China, India, South East Asia, Central, South America, Middle East Africa, Other Regions. Besides this, research demonstrates growth trends upcoming opportunities region. Analysts revealed Edge AI Hardware market shown significant developments past years. The report offers sound predictions market value volume beneficial market players, investors, stakeholders, new entrants gain detailed insights obtain leading position market. Additionally, report offers indepth analysis key market players functioning global Edge AI Hardware Industry. Make An EnquiryAbout This Report @ You enquire reported quote OR available discount offers sales team purchase. Top market players profiled research study Are: Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd, Huawei Technologies Co., Ltd., Google ., MediaTek ., Xilinx ., Imagination Technologies Limited, Microsoft Corporation, others. The research presents performance player active Edge AI Hardware. It offers summary highlights current advancements player market. This piece data great source study material investors stakeholders interested market. In addition, report offers insights suppliers, buyers, merchants market. Along this, comprehensive analysis consumption, market share, growth rate application offered historic period. The report clearly shows Edge AI Hardware Industry achieved remarkable progress 2026 numerous significant developments boosting growth market. This report prepared based detailed assessment industry experts. To conclude, stakeholders, investors, product managers, marketing executives, experts search factual data supply, demand, future predictions report valuable. Explore Complete TOC Ask Customization @ This report customized meet clients requirements. Please connect sales team, customize report according research needs. Few Points From TOC: Scope Report Executive Summary Information Sources Key Data Secondary Sources Key Data Primary Sources Continued Some important key factors included report: Summary Edge AI Hardware Market major key players major count terms enduser demands, restraining elements, revenue, sales, share size. Characteristics Edge AI Hardware Market including industry growth restraining factors, technological advancements, new upcoming growth opportunities, emerging segments Edge AI Hardware Market. Other factors Edge AI Hardware Market price, demand, supply, profitloss, growth factor broadly discussed market report. Edge AI Hardware Market size, share, growth factors analysis regional country level segments. Market Trends, Drivers, Constraints, Growth Opportunities, Threats, Challenges, Investment Opportunities, recommendations. The Questions Answered Pagers Market Report: What Key Manufacturers, raw material suppliers, equipment suppliers, endusers, traders And distributors Pagers Market? What Growth factors influencing Pagers Market Growth? What production processes, major issues, solutions mitigate development risk? What Contribution Regional Manufacturers? What Key Market segment, market potential, influential trends, challenges market facing? And Many More. : Facts Factors leading market research company offers customized research reports consulting services. Facts Factors aims management consulting, industry chain research, advanced research assist clients providing planned revenue model business. Our report services prestigious academic institutions, startups, companies globally understand international regional business background. Our wideranging database offers statistics detailed analysis different industries worldwide help clients achieving sustainable progress. The wellorganized reports help clients developing strategies making informed business decisions. Us: Facts Factors Global Headquarters Level 8, International Finance Center, Tower 2, 8 Century Avenue, Shanghai, Postal 200120, China Tel: 8621 80360450 EMail: sales Web: TagsEdge AI Hardware Market Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print milind Related Articles February 26, 2020 10 Sustainable Palm Oil Market Size, Share, Upcoming Trends, Market Growth Analysis 2026 March 16, 2020 4 Global Autonomous Forklifts Market Industry Analysis, Size, Share, Growth, Trends Forecast 2019 2026 March 5, 2020 7 Sustainable Palm Oil Market Share, Market Insight, Business Trends, Statistics, Modest Analysis 20192026 February 14, 2020 2 Customer Communication Management Market Industry Latest Trends Global Outlook 20182027 Recent Posts Global Antioxidant BHT Market GROWTH, TRENDS, AND FORECAST 2019 2026 March 16, 2020 Global Cream Cheese Market Manufacturers, Regions, Type Application, Forecast 2026 March 16, 2020 Global Cotton Pads Market Industry Growth Analysis, Trend, Future Demand Leading Players Updates Forecast 2026 March 16, 2020 Global Commercial Paving Slabs Market Industry Value Chain Analysis, Porters 5 Forces, Regulations 20192026 March 16, 2020 Global Allulose Market Size, Share, Growth, Trends, Forecast 2019 2026 March 16, 2020 Global Coin Cell Battery Market Industry Analysis, Size, Share, Growth, Trends Forecast 2019 2026 March 16, 2020 Global 5G Fixed Wireless Access FWA Analysis, Drivers, Restraints, Opportunities, Threats, Trends, Applications, And Growth Forecast To 2026 March 16, 2020 Global Automotive Wiring Harness Market Sizing estimations forecasts 2026 March 16, 2020 Global Car Accessories Market Size Regional country level market analysis 20192026 March 16, 2020 Global Bus Door System Market Sizing estimations forecasts 2026 March 16, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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Emerging Trends in Artificial Intelligence in Retail Market 2020 | Growth, Demand, Opportunities, Scope & Detail Survey by 2026 | Top Key Players: IBM, Microsoft, Nvidia, Amazon Web Services & More. – Bandera County Courier
Emerging Trends in Artificial Intelligence in Retail Market 2020 | Growth, Demand, Opportunities, Scope & Detail Survey by 2026 | Top Key Players: IBM, Microsoft, Nvidia, Amazon Web Services & More. – Bandera County Courier Monday, March 9 2020 Trending “A ready-to-use vaccine takes twelve to 18 months” $ 2.5 trillion loss Is the Maternity Protection Act still up to date? 25 million people could suffer from hunger High school teachers struggle with performance differences in classes Second Covid 19 death within a very short time in NRW The smell of plastic waste attracts turtles 62 important questions and answers “Very little can be heard from the disaster management team” Comprehensive school closures will also come in Germany Contact Bandera County Courier Business Health Science Technology World Home/Business/Emerging Trends in Artificial Intelligence in Retail Market 2020 | Growth, Demand, Opportunities, Scope & Detail Survey by 2026 | Top Key Players: IBM, Microsoft, Nvidia, Amazon Web Services & More. BusinessScienceTechnologyWorld Emerging Trends in Artificial Intelligence in Retail Market 2020 | Growth, Demand, Opportunities, Scope & Detail Survey by 2026 | Top Key Players: IBM, Microsoft, Nvidia, Amazon Web Services & More. rnr March 9, 2020 Artificial Intelligence in Retail Market Global Artificial Intelligence in Retail Market Research Report gives a comprehensive overview of the current market scenario by taking a holistic approach to the trends in the market supported by valid and vital facts and figures relating to the Artificial Intelligence in Retail Market. The Artificial Intelligence in Retail Market size, share, gross revenue, CAGR, rate of consumption, production capacity, and the key companies operating in the industry have been inspected to forecast the same for the forecast period from 2020 to 2026. The report sheds light on the overall industry, growth trajectory, market share, and market dynamics in a detailed assessment. The Artificial Intelligence in Retail Market report gives numbers that are derived after studying the historical and present market trends and predicts the growth opportunities, risks, and challenges expected to surface in the forecast duration. Get Sample Copy of Latest Report@: https://www.researchnreports.com/request_sample.php?id=632171 Artificial Intelligence in Retail Market Prominent Players: IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel & More Key Benefits: This report provides a quantitative analysis of the current trends, estimations, and dynamics through 2020-2026, which is expected to assist in identifying the prevailing market opportunities. Major countries in each region are mapped according to the individual market revenue. The region-wise and country-wise Artificial Intelligence in Retail Market conditions have been comprehensively analyzed in the report. Key players of the Artificial Intelligence in Retail Market have been listed. 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February 28, 2020 3 Experts Analysis on International Wholesale Distribution Software Market 2020-2027 with Leading key players like SAP,    Epicor,    NetSuite (Oracle),    Sage,    SYSPRO,    Microsoft Dynamic,    Intactt,    Inform Software,    S2K Enterprise (Vai),    Priority Software,    Infor,    SIMMS Software,    Protrac February 27, 2020 8 Huge Growth Seen in Salon & Spa Software Market by 2020-2027 Focusing on Leading Players Book4Time, Mindbody, Booker, Agilysys, Zenoti, Vagaro, Rosy, Millennium, Phorest, Jonas Software Recent Posts Technology Real Estate Software for Builders & Real Estate Agents Market Growing Massively by 2020-2027 Major Players Tally Solutions, Daemon Information Systems, Apto, Brokermint, RealSpace, Bitrix March 9, 2020 Technology Outstanding Scope of Blockchain Technology in Real Estate Market Estimated To Flourish By 2027 Competitors Like- IBM, Microsoft, SAP, Oracle, Bitfury, Cegeka, Intel, AWS March 9, 2020 Business Best Report on Virtual Reality(VR) Helmet Market 2020 | Trends, Demand, Opportunities, Scope & Detail Survey by 2026 | Top Key Players: Leapower, GLAXXES, Focalmax, Avegant, SONY, ANTVR & More. 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March 9, 2020 Business Best Informative Report on Retail chatbots Market 2020 | Trends, Demand, Opportunities, Scope & Detail Survey by 2026 | Top Key Players: Amazon, Ebay, SAP, Flipkart, IBM, Snapdeal, Honeywell & More. March 9, 2020 Facebook Twitter WhatsApp Telegram Close Search for: Close Log In Forget? Remember me Log In
Emerging Trends in Artificial Intelligence in Retail Market 2020
Emerging Trends Artificial Intelligence Retail Market 2020 Growth, Demand, Opportunities, Scope Detail Survey 2026 Top Key Players: IBM, Microsoft, Nvidia, Amazon Web Services More. Bandera County Courier Monday, March 9 2020 Trending A readytouse vaccine takes 18 months 2.5 trillion loss Is Maternity Protection Act date? 25 million people suffer hunger High school teachers struggle performance differences classes Second Covid 19 death short time NRW The smell plastic waste attracts turtles 62 important questions answers Very little heard disaster management team Comprehensive school closures come Germany Bandera County Courier Business Health Science Technology World HomeBusinessEmerging Trends Artificial Intelligence Retail Market 2020 Growth, Demand, Opportunities, Scope Detail Survey 2026 Top Key Players: IBM, Microsoft, Nvidia, Amazon Web Services More. BusinessScienceTechnologyWorld Emerging Trends Artificial Intelligence Retail Market 2020 Growth, Demand, Opportunities, Scope Detail Survey 2026 Top Key Players: IBM, Microsoft, Nvidia, Amazon Web Services More. rnr March 9, 2020 Artificial Intelligence Retail Market Global Artificial Intelligence Retail Market Research Report gives comprehensive overview current market scenario taking holistic approach trends market supported valid vital facts figures relating Artificial Intelligence Retail Market. The Artificial Intelligence Retail Market size, share, gross revenue, CAGR, rate consumption, production capacity, key companies operating industry inspected forecast forecast period 2020 2026. The report sheds light overall industry, growth trajectory, market share, market dynamics detailed assessment. The Artificial Intelligence Retail Market report gives numbers derived studying historical present market trends predicts growth opportunities, risks, challenges expected surface forecast duration. Get Sample Copy Latest Report Artificial Intelligence Retail Market Prominent Players: IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel More Key Benefits: This report provides quantitative analysis current trends, estimations, dynamics 20202026, expected assist identifying prevailing market opportunities. Major countries region mapped according individual market revenue. The regionwise countrywise Artificial Intelligence Retail Market conditions comprehensively analyzed report. Key players Artificial Intelligence Retail Market listed. This study evaluates competitive landscape value chain analysis understand competitive environment geographies. An indepth analysis segmentation Artificial Intelligence Retail Market market provided, expected assist prevailing market opportunities. Early Buyers Get Upto 50 Discount Report Market Type: Cloud OnPremises Market Application: Predictive Merchandising Programmatic Advertising Market Forecasting InStore Visual Monitoring Surveillance LocationBased Marketing Others Market Geography: North America Rest North America Europe Rest Europe Asia Pacific Rest Asia Pacific Middle East Africa Rest Middle East Africa Latin America Rest Latin America Avail More Inquiry Before Buying Report@ What Our Innovative Reports Provides: Full indepth analysis parent market Important changes market dynamics Segmentation details market Former, ongoing, projected market analysis terms volume value Assessment niche industry developments Market share analysis Key strategies major players Emerging segments regional markets Testimonials companies order fortify foothold market A 360degree synopsis competitive scenario Artificial Intelligence Retail Market presented report. It enormous data allied recent product technological developments markets. It comprehensive analysis impact advancements markets future growth, wideranging analysis expansions markets future growth. Major Toc Latest Report: Development Trend Analysis Artificial Intelligence Retail Market Global Artificial Intelligence Retail Market Trend Analysis Global Artificial Intelligence Retail Market Size Volume Value Forecast 20202026 Marketing Channel Direct Marketing Indirect Marketing Artificial Intelligence Retail Market Customers Market Dynamics Market Trends Opportunities Market Drivers Challenges Influence Factors MethodologyResearch Approach Research ProgramsDesign Market Size Estimation Market Breakdown Data Triangulation Data Source Post navigation Continued.. 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February 28, 2020 3 Experts Analysis International Wholesale Distribution Software Market 20202027 Leading key players like SAP, Epicor, NetSuite Oracle, Sage, SYSPRO, Microsoft Dynamic, Intactt, Inform Software, S2K Enterprise Vai, Priority Software, Infor, SIMMS Software, Protrac February 27, 2020 8 Huge Growth Seen Salon Spa Software Market 20202027 Focusing Leading Players Book4Time, Mindbody, Booker, Agilysys, Zenoti, Vagaro, Rosy, Millennium, Phorest, Jonas Software Recent Posts Technology Real Estate Software Builders Real Estate Agents Market Growing Massively 20202027 Major Players Tally Solutions, Daemon Information Systems, Apto, Brokermint, RealSpace, Bitrix March 9, 2020 Technology Outstanding Scope Blockchain Technology Real Estate Market Estimated To Flourish By 2027 Competitors Like IBM, Microsoft, SAP, Oracle, Bitfury, Cegeka, Intel, AWS March 9, 2020 Business Best Report Virtual RealityVR Helmet Market 2020 Trends, Demand, Opportunities, Scope Detail Survey 2026 Top Key Players: Leapower, GLAXXES, Focalmax, Avegant, SONY, ANTVR More. March 9, 2020 Technology Magnificent Growth Commercial Real Estate Software Market Undertake Strapping Growth End 2027 Leading Key Players like Brokermint, CoStar Real Estate Manager, ARGUS Software, Buildout, Apto March 9, 2020 Technology Huge Demand Convenience Store Retailing Market 2020 Predictable Witness Sustainable Evolution Over 2027 Key Players7Eleven, Pyaterochka, Lawson, Magnit, FamilyMart, Circle K March 9, 2020 Health Ondemand Healthcare App Market 2020 Is Thriving Continuously By Top Key Players MDLIVE, Lemonaid, LiveHealth, Express Care Virtual, PlushCare, Doctor Demand March 9, 2020 Technology Huge Transformation VR Marketplace Software Market Will Raise Beyond Imagination Over Period 20202026 With Top Vendors Like Virtual Reality Steam, Littlstar, High Fidelity, OSVR, SlipStream March 9, 2020 Uncategorized As Per New Study Report Wave Tidal Energy Market Growing Massively Forecast 2024 Leading Players Atlantis Resources Corp, AWEnergy, AWS Ocean Energy March 9, 2020 Business Best Reports Virtual Payment Market 2020 Trends, Demand, Opportunities, Scope Detail Survey 2026 Top Key Players: Amazon, Ebay, SAP, Flipkart, IBM, Snapdeal, Honeywell, Paytm, MobiKwik More. March 9, 2020 Business Best Informative Report Retail chatbots Market 2020 Trends, Demand, Opportunities, Scope Detail Survey 2026 Top Key Players: Amazon, Ebay, SAP, Flipkart, IBM, Snapdeal, Honeywell More. March 9, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? Remember Log In
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Global AI Governance Market to Grow with Rapid Pace through 2026 – Bandera County Courier
Global AI Governance Market to Grow with Rapid Pace through 2026 – Bandera County Courier Monday, March 9 2020 Trending Global Musky Scent Perfume Market 2020 | Industry Future Growth, Key Player Analysis and Forecast 2025 Global Vanilla Scent Perfume Market 2020 | Industry Future Growth, Key Player Analysis and Forecast 2025 Global Citrus Scent Perfume Market 2020 | Industry Future Growth, Key Player Analysis and Forecast 2025 Global Fresh Scent Perfume Market 2020 | Industry Future Growth, Key Player Analysis and Forecast 2025 Global Woody Scent Perfume Market 2020 | Industry Future Growth, Key Player Analysis and Forecast 2025 Global Flower Scent Perfume Market 2020 | Industry Future Growth, Key Player Analysis and Forecast 2025 Global Perfume for Women Market 2020 | Industry Future Growth, Key Player Analysis and Forecast 2025 Global Teschemacherite Market to See Huge Growth by 2026, Research Says Global Safety Service Market Estimated Double Digit CAGR through 2026 Global Parental Control Software Market to Grow with Rapid Pace through 2026 Contact Bandera County Courier Business Health Science Technology World Home/Business/Global AI Governance Market to Grow with Rapid Pace through 2026 Business Global AI Governance Market to Grow with Rapid Pace through 2026 hiren March 9, 2020 Zion Market Research, a leading market research company recently published a research report on “AI Governance Market: By Component (Solutions and Services) By Deployment Mode (Cloud and On-Premises) By Vertical (BFSI, Government and Defense, Media and Entertainment, Healthcare and Life Sciences, Automotive, Telecom, Retail and Others) By Region: Global Industry Perspective, Comprehensive Analysis and Forecast, 2019 – 2025.” to its research database. This AI Governance Market report analyzes the comprehensive overview of the market comprising an executive summary that covers core trends evolving in the market. The AI Governance market report represents the broad information comprising each and every aspect related to the AI Governance market. The experts arranged and processed the AI Governance market related raw data congregated from various sources with the help of different methodological and analytical tactics such as probability, SWOT analysis, and statistical variation among many. FREE | Request Sample is Available AI Governance Report @ https://www.zionmarketresearch.com/sample/ai-governance-market (The sample of this report is readily available on request). This Free report sample includes : Brief introduction to the research report. Graphical introduction of regional analysis. Top players in the market with their revenue analysis. Selected illustrations of market insights and trends. Example pages from the report. Zion market research methodology. he AI Governance market supports various industries, product manufacturers, organizations, vendors, and suppliers by opening doors for them with many opportunities to expand their business at the global and regional level. Some of the major market holders at the global and regional level are competing with one another and developing organizations in terms of sales, supply, manufacturing quality products, revenue generation, and providing satisfactory after-sales services to the clients. The AI Governance industry report offers the analyzed databy bifurcating the AI Governance market on the basis of form and type of product or service, processing technology involved, applications of the end-product, and others, including geographical categorization of the market. The AI Governance market report also provides detailed information regarding specific business and financial terms, market strategies, expected market growth, and much more. Request Report TOC (Table of Contents) @ https://www.zionmarketresearch.com/toc/ai-governance-market The AI Governance market report aims to enumerate market size and trends, which is accompanied and put in plain words with qualitative data. The AI Governance industry segmentation is carefully analyzed with an observation stage analyzing and the present and past situation. Considering the facts, the likely future situations and estimates for the future are developed.The cultural diversity has always been the main concern for any business. So, we have illustrated this through the geographical analysis which makes easy to understand the revenue flow through each region. The report also includes a description of key factors, which tends to significantly spur or breach the market growth. The report also enlightens on the future impact of the administration policies and regulations on the growth of the market. The calculated expected CAGR of the market on the basis of previous data about the market, and ongoing market trends along with future developments are also included in the report. The AI Governance market report provides knowledgeable data to the clients improving their decision-making ability related to the AI Governance market business. Using figures, graphs, and flowcharts in the report, the experts represented the analyzed data in a better understandable way. The current case study has all the details regarding the specific AI Governance market mentioned on the basis of market size and share, future scope, industrial norms, competitive players, and so on. For a better perceptive of the global AI Governance market, we can refer to the research reports provided here as it takes us for a journey across the world in regards to the market analysis details. Enquire more about this report before purchase @ https://www.zionmarketresearch.com/inquiry/ai-governance-market (You may enquire a report quote OR available discount offers to our sales team before purchase.) The thorough statistical market analysis performed by each skilled essayist help detail out the worldwide position of the AI Governance market. The data provided in the research report is not only qualitatively but also quantitatively sufficient in terms of understanding the overall market growth and development. The supply-demand, storage, and financial computation of the AI Governance market product are clearly mentioned for client convenience. The client-specific details such as enterprises gross margin, present industrial policies, market statistics, import-export details, and government regulations are also mentioned. Report Includes 110+ pages research report. It offers comprehensive insights into current industry trends, trend forecast, and growth drivers about the hyper scale data center market. The report provides the latest analysis of market share, growth drivers, challenges, and investment opportunities. Industry analysis of the global AI Governance Market. Analyses of the global market trends along with research data from 2017, estimates for 2019, and projections of compound annual growth rates (CAGRs) through 2027. Research information on major drivers and regional dynamics of the market and current trends within the industry. Discussion and profiles of the major industry players across each regional market; their market shares, growth strategies and product portfolios. Patent evaluation, including coverage of the current state of technology, new patent applications, and newly issued patents. Emphasis on the vendor landscape and detailed profiles of the major players in the global AI Governance Market. About Us: Zion Market Research is an obligated company. We create futuristic, cutting edge, informative reports ranging from industry reports, company reports to country reports. We provide our clients not only with market statistics unveiled by avowed private publishers and public organizations but also with vogue and newest industry reports along with pre-eminent and niche company profiles. Our database of market research reports comprises a wide variety of reports from cardinal industries. Our database is been updated constantly in order to fulfill our clients with prompt and direct online access to our database. Keeping in mind the client’s needs, we have included expert insights on global industries, products, and market trends in this database. Last but not the least, we make it our duty to ensure the success of clients connected to us—after all—if you do well, a little of the light shines on us. Contact Us: Zion Market Research 244 Fifth Avenue, Suite N202 New York, 10001, United States Tel: +49-322 210 92714 USA/Canada Toll Free No.1-855-465-4651 Email: [email protected] Web: https://www.zionmarketresearch.com TagsAI Governance Market Facebook Twitter Google+ LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share via Email Print hiren Related Articles March 5, 2020 4 Concrete Superplasticizer Market Size, Share and Trends Will double by 2027 March 4, 2020 2 Global Artificial Graphite Market Growth 2020 SINUO, SHINZOOM, CHNM, Shanshan, B&M, ZC, BTR, PULEAD, KAITEKI March 6, 2020 3 Data Center Networking Market Latest Industry Trends and Global Insights, 2020-2027 March 2, 2020 2 Global Selected Reaction Monitoring Market Research 2019 by – MRM Proteomics, Sigma-Aldrich, Thermo Fisher Scientific Recent Posts Global Teschemacherite Market to See Huge Growth by 2026, Research Says March 9, 2020 Global Safety Service Market Estimated Double Digit CAGR through 2026 March 9, 2020 Global Parental Control Software Market to Grow with Rapid Pace through 2026 March 9, 2020 Global Military Exoskeleton Market Size & Share to Observe Lucrative Growth Opportunities by 2026 March 9, 2020 Global Micro-ultrasound Systems Market Size & Share Anticipates Increasing Growth by 2026 March 9, 2020 Global Microwave Backhaul System Market Size, Share, Upcoming Trends, Market Growth Analysis by 2026 March 9, 2020 Global Parking Management Solution Market Demand and Growth is Increasing Rapidly through 2026 March 9, 2020 Global Cloud Based Collaboration Software Market Size to Register High Growth Prospect and Future Aspects by 2026 March 9, 2020 Global Flower Extract Market to See Huge Growth by 2026, Research Says March 9, 2020 Global Contactless Payment Transaction Market to Grow with Rapid Pace through 2026 March 9, 2020 Facebook Twitter WhatsApp Telegram Close Search for: Close Log In Forget? 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Global AI Governance Market to Grow with Rapid Pace through 2026
Global AI Governance Market Grow Rapid Pace 2026 Bandera County Courier Monday, March 9 2020 Trending Global Musky Scent Perfume Market 2020 Industry Future Growth, Key Player Analysis Forecast 2025 Global Vanilla Scent Perfume Market 2020 Industry Future Growth, Key Player Analysis Forecast 2025 Global Citrus Scent Perfume Market 2020 Industry Future Growth, Key Player Analysis Forecast 2025 Global Fresh Scent Perfume Market 2020 Industry Future Growth, Key Player Analysis Forecast 2025 Global Woody Scent Perfume Market 2020 Industry Future Growth, Key Player Analysis Forecast 2025 Global Flower Scent Perfume Market 2020 Industry Future Growth, Key Player Analysis Forecast 2025 Global Perfume Women Market 2020 Industry Future Growth, Key Player Analysis Forecast 2025 Global Teschemacherite Market See Huge Growth 2026, Research Says Global Safety Service Market Estimated Double Digit CAGR 2026 Global Parental Control Software Market Grow Rapid Pace 2026 Bandera County Courier Business Health Science Technology World HomeBusinessGlobal AI Governance Market Grow Rapid Pace 2026 Business Global AI Governance Market Grow Rapid Pace 2026 hiren March 9, 2020 Zion Market Research,a leading market research company recently published research report onAI Governance Market: By Component Solutions Services By Deployment Mode Cloud OnPremises By Vertical BFSI, Government Defense, Media Entertainment, Healthcare Life Sciences, Automotive, Telecom, Retail Others By Region: Global Industry Perspective, Comprehensive Analysis Forecast, 2019 2025.to research database. This AI Governance Market report analyzes comprehensive overview market comprising executive summary covers core trends evolving market. The AI Governance market report represents broad information comprising aspect related theAI Governancemarket. The experts arranged processed AI Governance market related raw data congregated sources help different methodological analytical tactics probability, SWOT analysis, statistical variation many. FREE Request Sample Available AI Governance Report @ The sample report readily available request. This Free report sample includes : Brief introduction research report. Graphical introduction regional analysis. Top players market revenue analysis. Selected illustrations market insights trends. Example report. Zion marketresearch methodology. AI Governance market supports industries, product manufacturers, organizations, vendors, suppliers opening doors opportunities expand business global regional level. Some major market holders global regional level competing developing organizations terms sales, supply, manufacturing quality products, revenue generation, providing satisfactory aftersales services clients. The AI Governance industry report offers analyzed databy bifurcating AI Governance market basis form type product service, processing technology involved, applications endproduct, others, including geographical categorization market. The AI Governance market report provides detailed information specific business financial terms, market strategies, expected market growth, more. Request Report TOC Table Contents @ The AI Governance market report aims enumerate market size trends, accompanied plain words qualitative data. The AI Governance industry segmentation carefully analyzed observation stage analyzing present past situation. Considering facts, likely future situations estimates future developed.The cultural diversity main concern business. So, illustrated geographical analysis makes easy understand revenue flow region. The report includes description key factors, tends significantly spur breach market growth. The report enlightens future impact administration policies regulations growth market. The calculated expected CAGR market basis previous data market, ongoing market trends future developments included report. The AI Governance market report provides knowledgeable data clients improving decisionmaking ability related AI Governance market business. Using figures, graphs, flowcharts report, experts represented analyzed data better understandable way. The current case study details specific AI Governance market mentioned basis market size share, future scope, industrial norms, competitive players, on. For better perceptive global AI Governance market, refer research reports provided takes journey world regards market analysis details. Enquire report purchase @ You enquire report quote OR available discount offers sales team purchase. The thorough statistical market analysis performed skilled essayist help worldwide position theAI Governancemarket. The data provided research report qualitatively quantitatively sufficient terms understanding overall market growth development. The supplydemand, storage, financial computation theAI Governancemarket product clearly mentioned client convenience. The clientspecific details enterprises gross margin, present industrial policies, market statistics, importexport details, government regulations mentioned. Report ludes 110 research report. It offers comprehensive insights current industry trends, trend forecast, growth drivers hyper scale data center market. The report provides latest analysis market share, growth drivers, challenges, investment opportunities. Industry analysis global AI Governance Market. Analyses global market trends research data 2017, estimates 2019, projections compound annual growth rates CAGRs 2027. Research information major drivers regional dynamics market current trends industry. Discussion profiles major industry players regional market; market shares, growth strategies product portfolios. Patent evaluation, including coverage current state technology, new patent applications, newly issued patents. Emphasis vendor landscape detailed profiles major players global AI Governance Market. : Zion Market Researchis obligated company. We create futuristic, cutting edge, informative reports ranging industry reports, company reports country reports. We provide clients market statistics unveiled avowed private publishers public organizations vogue newest industry reports preeminent niche company profiles. Our database market research reports comprises wide variety reports cardinal industries. Our database updated constantly order fulfill clients prompt direct online access database. Keeping mind clients needs, included expert insights global industries, products, market trends database. Last least, duty ensure success clients connected usafter allif well, little light shines us. Us: Zion Market Research 244 Fifth Avenue, Suite N202 New York, 10001, United States Tel: 49322 210 92714 USACanada Toll Free No.18554654651 Email:sales Web: TagsAI Governance Market Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print hiren Related Articles March 5, 2020 4 Concrete Superplasticizer Market Size, Share Trends Will double 2027 March 4, 2020 2 Global Artificial Graphite Market Growth 2020 SINUO, SHINZOOM, CHNM, Shanshan, BM, ZC, BTR, PULEAD, KAITEKI March 6, 2020 3 Data Center Networking Market Latest Industry Trends Global Insights, 20202027 March 2, 2020 2 Global Selected Reaction Monitoring Market Research 2019 MRM Proteomics, SigmaAldrich, Thermo Fisher Scientific Recent Posts Global Teschemacherite Market See Huge Growth 2026, Research Says March 9, 2020 Global Safety Service Market Estimated Double Digit CAGR 2026 March 9, 2020 Global Parental Control Software Market Grow Rapid Pace 2026 March 9, 2020 Global Military Exoskeleton Market Size Share Observe Lucrative Growth Opportunities 2026 March 9, 2020 Global Microultrasound Systems Market Size Share Anticipates reasing Growth 2026 March 9, 2020 Global Microwave Backhaul System Market Size, Share, Upcoming Trends, Market Growth Analysis 2026 March 9, 2020 Global Parking Management Solution Market Demand Growth reasing Rapidly 2026 March 9, 2020 Global Cloud Based Collaboration Software Market Size High Growth Prospect Future Aspects 2026 March 9, 2020 Global Flower Extract Market See Huge Growth 2026, Research Says March 9, 2020 Global Payment Transaction Market Grow Rapid Pace 2026 March 9, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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https://www.beaumontenterprise.com/business/article/As-AI-language-skills-grow-so-do-scientists-17310673.php
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As AI language skills grow, so do scientists' concerns
As AI language skills grow, so do scientists' concerns Skip to main content Beaumont Enterprise Homepage Currently Reading As AI language skills grow, so do scientists' concerns Subscribe Subscribe e-Edition Sign In HomeSubscribeSubscriber Servicese-EditionNewslettersBusiness DirectorySubmit NewsAbout UsAdvertisingOur PartnersArchivesCareersLocalWere you 'Seen'?CrimeWeatherCommunitiesUS & WorldNationWorldLouisianaTexasA&EGamesPhotoSponsored ArticlesComicsPuzzlesSportsHigh SchoolLamarBaseballGolfBasketballHouston AstrosHouston RocketsHouston TexansOther sportsBusinessBusiness DirectoryTechnologyTexas BusinessNation & WorldFuel FixSponsored ContentObitsOpinionEditorialsLettersSubmit a LetterColumnsCartoonsCarsJobsHomesHome DécorSETX Real EstateOutdoors Recommended Port Arthur schools police officers detail security measures Were your children SEEN at Jefferson County Courthouse? These new tenants are coming to The Silos Shopping Center Tropical Storm Estelle forms in Pacific off southern Mexico Dress codes are changing at five local school districts Southeast Texas Waterway Advisory Council named Harbor Safety Com Beaumont wants your opinion before council districts change Local groups to host meetings to 'Save Sabine Lake' Southeast Texas regains more affordable housing post-Harvey Construction prompts lane closures BusinessAs AI language skills grow, so do scientists' concernsMATT O'BRIEN, AP Technology WriterJuly 17, 2022Updated: July 17, 2022 12:57 p.m. Facebook Twitter Email Comments This is a carousel. Use Next and Previous buttons to navigate 5 1of5Research engineer Teven Le Scao, who helped create the new artificial intelligence language model called BLOOM, poses for a photo, Monday, July 11, 2022, in New York.Mary Altaffer/APShow MoreShow Less 2of5Research engineer Teven Le Scao, who helped create the new artificial intelligence language model called BLOOM, poses for a photo, Monday, July 11, 2022, in New York.Mary Altaffer/APShow MoreShow Less 3of5 4of5Research engineer Teven Le Scao, who helped create the new artificial intelligence language model called BLOOM, poses for a photo, Monday, July 11, 2022, in New York.Mary Altaffer/APShow MoreShow Less 5of5 The tech industry’s latest artificial intelligence constructs can be pretty convincing if you ask them what it feels like to be a sentient computer, or maybe just a dinosaur or squirrel. But they’re not so good — and sometimes dangerously bad — at handling other seemingly straightforward tasks. Take, for instance, GPT-3, a Microsoft-controlled system that can generate paragraphs of human-like text based on what it’s learned from a vast database of digital books and online writings. It’s considered one of the most advanced of a new generation of AI algorithms that can converse, generate readable text on demand and even produce novel images and video. Among other things, GPT-3 can write up most any text you ask for — a cover letter for a zookeeping job, say, or a Shakespearean-style sonnet set on Mars. But when Pomona College professor Gary Smith asked it a simple but nonsensical question about walking upstairs, GPT-3 muffed it. “Yes, it is safe to walk upstairs on your hands if you wash them first,” the AI replied. These powerful and power-chugging AI systems, technically known as “large language models” because they've been trained on a huge body of text and other media, are already getting baked into customer service chatbots, Google searches and “auto-complete” email features that finish your sentences for you. But most of the tech companies that built them have been secretive about their inner workings, making it hard for outsiders to understand the flaws that can make them a source of misinformation, racism and other harms. “They’re very good at writing text with the proficiency of human beings,” said Teven Le Scao, a research engineer at the AI startup Hugging Face. “Something they’re not very good at is being factual. It looks very coherent. It’s almost true. But it’s often wrong.” That's one reason a coalition of AI researchers co-led by Le Scao —- with help from the French government — launched a new large language model Tuesday that's supposed to serve as an antidote to closed systems such as GPT-3. The group is called BigScience and their model is BLOOM, for the BigScience Large Open-science Open-access Multilingual Language Model. Its main breakthrough is that it works across 46 languages, including Arabic, Spanish and French — unlike most systems that are focused on English or Chinese. It's not just Le Scao's group aiming to open up the black box of AI language models. Big Tech company Meta, the parent of Facebook and Instagram, is also calling for a more open approach as it tries to catch up to the systems built by Google and OpenAI, the company that runs GPT-3. “We’ve seen announcement after announcement after announcement of people doing this kind of work, but with very little transparency, very little ability for people to really look under the hood and peek into how these models work,” said Joelle Pineau, managing director of Meta AI. Competitive pressure to build the most eloquent or informative system — and profit from its applications — is one of the reasons that most tech companies keep a tight lid on them and don't collaborate on community norms, said Percy Liang, an associate computer science professor at Stanford who directs its Center for Research on Foundation Models. “For some companies this is their secret sauce,” Liang said. But they are often also worried that losing control could lead to irresponsible uses. As AI systems are increasingly able to write health advice websites, high school term papers or political screeds, misinformation can proliferate and it will get harder to know what’s coming from a human or a computer. Meta recently launched a new language model called OPT-175B that uses publicly available data — from heated commentary on Reddit forums to the archive of U.S. patent records and a trove of emails from the Enron corporate scandal. Meta says its openness about the data, code and research logbooks makes it easier for outside researchers to help identify and mitigate the bias and toxicity that it picks up by ingesting how real people write and communicate. “It is hard to do this. We are opening ourselves for huge criticism. We know the model will say things we won’t be proud of,” Pineau said. While most companies have set their own internal AI safeguards, Liang said what's needed are broader community standards to guide research and decisions such as when to release a new model into the wild. It doesn’t help that these models require so much computing power that only giant corporations and governments can afford them. BigScience, for instance, was able to train its models because it was offered access to France’s powerful Jean Zay supercomputer near Paris. Texas News News ‘Systemic failures’ in Uvalde school massacre, report finds News Vegas Strip shooting survivors send ‘Comfort Cubs’ to Uvalde News U.S. houses of worship increase security after shootings News Abortion laws spark profound changes in other medical care News Guatemala returns 1st of its 21 victims from Texas trailer News Uvalde video shows raw feelings toward journalists linger News Prosecutors seek 15-year sentence for armed Capitol rioter The trend for ever-bigger, ever-smarter AI language models that could be “pre-trained” on a wide body of writings took a big leap in 2018 when Google introduced a system known as BERT that uses a so-called “transformer” technique that compares words across a sentence to predict meaning and context. But what really impressed the AI world was GPT-3, released by San Francisco-based startup OpenAI in 2020 and soon after exclusively licensed by Microsoft. GPT-3 led to a boom in creative experimentation as AI researchers with paid access used it as a sandbox to gauge its performance — though without important information about the data it was trained on. OpenAI has broadly described its training sources in a research paper, and has also publicly reported its efforts to grapple with potential abuses of the technology. But BigScience co-leader Thomas Wolf said it doesn’t provide details about how it filters that data, or give access to the processed version to outside researchers. “So we can’t actually examine the data that went into the GPT-3 training,” said Wolf, who is also a chief science officer at Hugging Face. “The core of this recent wave of AI tech is much more in the dataset than the models. The most important ingredient is data and OpenAI is very, very secretive about the data they use.” Wolf said that opening up the datasets used for language models helps humans better understand their biases. A multilingual model trained in Arabic is far less likely to spit out offensive remarks or misunderstandings about Islam than one that’s only trained on English-language text in the U.S., he said. One of the newest AI experimental models on the scene is Google’s LaMDA, which also incorporates speech and is so impressive at responding to conversational questions that one Google engineer argued it was approaching consciousness — a claim that got him suspended from his job last month. Colorado-based researcher Janelle Shane, author of the AI Weirdness blog, has spent the past few years creatively testing these models, especially GPT-3 — often to humorous effect. But to point out the absurdity of thinking these systems are self-aware, she recently instructed it to be an advanced AI but one which is secretly a Tyrannosaurus rex or a squirrel. “It is very exciting being a squirrel. I get to run and jump and play all day. I also get to eat a lot of food, which is great,” GPT-3 said, after Shane asked it for a transcript of an interview and posed some questions. Shane has learned more about its strengths, such as its ease at summarizing what’s been said around the internet about a topic, and its weaknesses, including its lack of reasoning skills, the difficulty of sticking with an idea across multiple sentences and a propensity for being offensive. “I wouldn’t want a text model dispensing medical advice or acting as a companion,” she said. “It’s good at that surface appearance of meaning if you are not reading closely. It's like listening to a lecture as you're falling asleep.” Texas News News ‘Systemic failures’ in Uvalde school massacre, report finds News Vegas Strip shooting survivors send ‘Comfort Cubs’ to Uvalde News U.S. houses of worship increase security after shootings News Abortion laws spark profound changes in other medical care News Guatemala returns 1st of its 21 victims from Texas trailer News Uvalde video shows raw feelings toward journalists linger News Prosecutors seek 15-year sentence for armed Capitol rioter Written By MATT O'BRIEN View Comments Top Headlines Port Arthur schools police officers detail security measures Were your children SEEN at Jefferson County Courthouse? These new tenants are coming to The Silos Shopping Center Dress codes are changing at five local school districts Return to Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms of Use Advertising Careers Contact FAQ Contact Us Connect Facebook Twitter Instagram Subscriber e-Edition Become A Subscriber Manage Account: Subscriber Services ©2022 Hearst
As AI language skills grow, so do scientists' concerns
As AI language skills grow, scientists concerns Skip main content Beaumont Enterprise Home Currently Reading As AI language skills grow, scientists concerns eEdition Homer ServiceseEditionNewslettersBusiness DirectorySubmit NewsAdvertisingOur PartnersArchivesCareersLocalWere Seen?CrimeWeatherCommunitiesUS WorldNationWorldLouisianaTexasAEGamesPhotoSponsored ArticlesComicsPuzzlesSportsHigh SchoolLamarBaseballGolfBasketballHouston AstrosHouston RocketsHouston TexansOther sportsBusinessBusiness DirectoryTechnologyTexas BusinessNation WorldFuel FixSponsored ContentObitsOpinionEditorialsLettersSubmit LetterColumnsCartoonsCarsJobsHomesHome DcorSETX Real EstateOutdoors Recommended Port Arthur schools police officers security measures Were children SEEN Jefferson County Courthouse? These new tenants coming The Silos Shopping Center Tropical Storm Estelle forms Pacific southern Mexico Dress codes changing local school districts Southeast Texas Waterway Advisory Council named Harbor Safety Com Beaumont wants opinion council districts change Local groups host meetings Save Sabine Lake Southeast Texas regains affordable housing postHarvey Construction prompts lane closures BusinessAs AI language skills grow, scientists concernsMATT OBRIEN,AP Technology WriterJuly 17, 2022Updated: July 17, 2022 12:57p.m. Facebook Twitter Email Comments This carousel. Use Next Previous buttons navigate 5 1of5Research engineer Teven Le Scao, helped create new artificial intelligence language model called BLOOM, poses photo, Monday, July 11, 2022, New York.Mary AltafferAPShow MoreShow Less 2of5Research engineer Teven Le Scao, helped create new artificial intelligence language model called BLOOM, poses photo, Monday, July 11, 2022, New York.Mary AltafferAPShow MoreShow Less 3of5 4of5Research engineer Teven Le Scao, helped create new artificial intelligence language model called BLOOM, poses photo, Monday, July 11, 2022, New York.Mary AltafferAPShow MoreShow Less 5of5 The tech industrys latest artificial intelligence constructs pretty convincing ask feels like sentient computer, maybe dinosaur squirrel. But theyre good dangerously bad handling seemingly straightforward tasks. Take, instance, GPT3, Microsoftcontrolled generate paragraphs humanlike text based learned vast database digital books online writings. Its considered advanced new generation AI algorithms converse, generate readable text demand produce novel images video. Among things, GPT3 write text ask cover letter zookeeping job, say, Shakespeareanstyle sonnet set Mars. But Pomona College professor Gary Smith asked simple nonsensical question walking upstairs, GPT3 muffed it. Yes, safe walk upstairs hands wash first, AI replied. These powerful powerchugging AI systems, technically known large language models theyve trained huge body text media, getting baked customer service chatbots, Google searches autocomplete email features finish sentences you. But tech companies built secretive inner workings, making hard outsiders understand flaws source misinformation, racism harms. Theyre good writing text proficiency human beings, said Teven Le Scao, research engineer AI startup Hugging Face. Something theyre good factual. It looks coherent. Its true. But wrong. Thats reason coalition AI researchers coled Le Scao help French government launched new large language model Tuesday thats supposed serve antidote closed systems GPT3. The group called BigScience model BLOOM, BigScience Large Openscience Openaccess Multilingual Language Model. Its main breakthrough works 46 languages, including Arabic, Spanish French unlike systems focused English Chinese. Its Le Scaos group aiming open black box AI language models. Big Tech company Meta, parent Facebook Instagram, calling open approach tries catch systems built Google OpenAI, company runs GPT3. Weve seen announcement announcement announcement people kind work, little transparency, little ability people look hood peek models work, said Joelle Pineau, managing director Meta AI. Competitive pressure build eloquent informative profit applications reasons tech companies tight lid dont collaborate community norms, said Percy Liang, associate science professor Stanford directs Center Research Foundation Models. For companies secret sauce, Liang said. But worried losing control lead irresponsible uses. As AI systems increasingly able write health advice websites, high school term papers political screeds, misinformation proliferate harder know whats coming human computer. Meta recently launched new language model called OPT175B uses publicly available data heated commentary Reddit forums archive U.S. patent records trove emails Enron corporate scandal. Meta says openness data, code research logbooks makes easier outside researchers help identify mitigate bias toxicity picks ingesting real people write communicate. It hard this. We opening huge criticism. We know model things wont proud of, Pineau said. While companies set internal AI safeguards, Liang said whats needed broader community standards guide research decisions release new model wild. It doesnt help models require computing power giant corporations governments afford them. BigScience, instance, able train models offered access Frances powerful Jean Zay supercomputer near Paris. Texas News News Systemic failures Uvalde school massacre, report finds News Vegas Strip shooting survivors send Comfort Cubs Uvalde News U.S. houses worship increase security shootings News Abortion laws spark profound changes medical care News Guatemala returns 1st 21 victims Texas trailer News Uvalde video shows raw feelings journalists linger News Prosecutors seek 15year sentence armed Capitol rioter The trend everbigger, eversmarter AI language models pretrained wide body writings took big leap 2018 Google introduced known BERT uses socalled transformer technique compares words sentence predict meaning context. But impressed AI world GPT3, released San Franciscobased startup OpenAI 2020 soon exclusively licensed Microsoft. GPT3 led boom creative experimentation AI researchers paid access sandbox gauge performance important information data trained on. OpenAI broadly described training sources research paper, publicly reported efforts grapple potential abuses technology. But BigScience coleader Thomas Wolf said doesnt provide details filters data, access processed version outside researchers. So actually examine data went GPT3 training, said Wolf, chief science officer Hugging Face. The core recent wave AI tech dataset models. The important ingredient data OpenAI very, secretive data use. Wolf said opening datasets language models helps humans better understand biases. A multilingual model trained Arabic far likely spit offensive remarks misunderstandings Islam thats trained Englishlanguage text U.S., said. One newest AI experimental models scene Googles LaMDA, incorporates speech impressive responding conversational questions Google engineer argued approaching consciousness claim got suspended job month. Coloradobased researcher Janelle Shane, author AI Weirdness blog, spent past years creatively testing models, especially GPT3 humorous effect. But point absurdity thinking systems selfaware, recently instructed advanced AI secretly Tyrannosaurus rex squirrel. It exciting squirrel. I run jump play day. I eat lot food, great, GPT3 said, Shane asked transcript interview posed questions. Shane learned strengths, ease summarizing whats said internet topic, weaknesses, including lack reasoning skills, difficulty sticking idea multiple sentences propensity offensive. I wouldnt want text model dispensing medical advice acting companion, said. Its good surface appearance meaning reading closely. Its like listening lecture youre falling asleep. Texas News News Systemic failures Uvalde school massacre, report finds News Vegas Strip shooting survivors send Comfort Cubs Uvalde News U.S. houses worship increase security shootings News Abortion laws spark profound changes medical care News Guatemala returns 1st 21 victims Texas trailer News Uvalde video shows raw feelings journalists linger News Prosecutors seek 15year sentence armed Capitol rioter Written By MATT OBRIEN View Comments Top Headlines Port Arthur schools police officers security measures Were children SEEN Jefferson County Courthouse? These new tenants coming The Silos Shopping Center Dress codes changing local school districts Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Advertising Careers FAQ Us Connect Facebook Twitter Instagram r eEdition Become A r Manage Account: r Services 2022 Hearst
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https://www.beaumontenterprise.com/news/article/Parkland-parents-create-AI-video-of-slain-son-to-15616212.php
2020-10-02T00:00:00
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Parkland parents create AI video of slain son to spur voters - Beaumont Enterprise
Parkland parents create AI video of slain son to spur voters - Beaumont Enterprise Subscribe Sign In Home Subscribe Subscriber Services Subscriber Services Vacation Hold Manage Subscription e-Edition Business Directory Submit News About Us About Us Become a distributor Customer Care Contact Us Advertising Our Partners Our Partners VIP Magazine Hardin County News Jasper Newsboy Lakecaster Southeasttexas Classifieds Archives Careers Local Were you 'Seen'? 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(AP) — Wearing his signature hoodie and beanie, an earbud casually hanging from one ear, passionate Parkland teen Joaquin Oliver urges his peers to vote for lawmakers who will end gun violence in a new video released Friday. Next month's election would have been his first chance to vote. The 17-year-old's mannerisms and vernacular “yo, it's me” are shockingly life like, but it is just a mirage — a realistic, almost eerie artificial intelligence re-creation of the teen who was among the 17 killed in the 2018 Valentine's Day massacre at Marjory Stoneman Douglas High School in Florida, the worst school shooting in history. From the grave, the teen is now begging his peers to cast the vote that he will never cast. “I've been gone for two years and nothing’s changed, bro. People are still getting killed by guns,” he implores in the video created by his parents' charity to end gun violence. “You've got to replace my vote.” After their son's death, Manuel and Patricia Oliver founded the organization Change The Ref to empower young people to make changes through education and activism on a variety of issues, most notably gun violence. They helped craft every detail of the video, from their son's wardrobe to his mannerisms and what he would say, relying on his Twitter account and other musings to help guide them. “It’s something where you just put the dots together if you see his posts, the way he thinks, he was still thinking, the way he was expressing his frustration about situations,” his mom said in a phone interview Friday. The teen, affectionately known as Guac, was affected by racism at a young age and protective of his Hispanic immigrant parents. When he was 12-years-old he wrote a letter to gunmakers asking why they didn't support universal background checks. “We are letting Joaquin grow into his ideas ... and how he will be reacting to things that are happening today,” his father said. “We know our son so well and we knew exactly what he wanted from life.” The lifelike image is also painful to watch for the grieving parents. “I couldn’t even breathe well,” his mother said of the first time she saw the video. “Of course we know that is not Joaquin, but they did such an amazing job with the technology that you can’t say, ‘Oh my God, how I wish that could be the real Joaquin there talking to everybody.'” For Manuel Oliver, he's harnessed that pain to create change. The artist has traveled the country on Joaquin's behalf, painting a mural on his son's birthday outside the National Rifle Association’s headquarters and leading a rally at the headquarters of Smith & Wesson. “I wouldn’t describe this as painful but as powerful.” Were you 'Seen' Were you 'Seen' celebrating July 4? Were you 'Seen' at Taste of the Triangle? Were you 'Seen' at Mardi Gras? Were you 'Seen' at the Aurora Ball? The Latest Stocks slip after Trump tests positive, job growth slows Trump’s COVID infection scuttles Houston campaign event 17 SE Texans indicted in connection with drug, gun crimes Opinion: DD6 needed budget reset, lower raises Chicken gumbo and riblets: New food at Texans games in 2020 Astros' Carlos Correa: 'I know a lot of people are mad' Amazon says nearly 20K employees have caught covid-19 New business coming to Beaumont Lagniappe: Grant help sought for repeatedly flooded SETX... Local News NFL postpones Titans vs. Steelers after more positive COVID-19... 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Parkland parents create AI video of slain son to spur voters
Parkland parents create AI video slain son spur voters Beaumont Enterprise Home r Services r Services Vacation Hold Manage Subscription eEdition Business Directory Submit News Become distributor Customer Care Us Advertising Our Partners Our Partners VIP Magazine Hardin County News Jasper Newsboy Lakecaster Southeasttexas Classifieds Archives Careers Local Were Seen? 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AP Wearing signature hoodie beanie, earbud casually hanging ear, passionate Parkland teen Joaquin Oliver urges peers vote lawmakers end gun violence new video released Friday. Next months election chance vote. The 17yearolds mannerisms vernacular yo, shockingly life like, mirage realistic, eerie artificial intelligence recreation teen 17 killed 2018 Valentines Day massacre Marjory Stoneman Douglas High School Florida, worst school shooting history. From grave, teen begging peers cast vote cast. Ive gone years nothings changed, bro. People getting killed guns, implores video created parents charity end gun violence. Youve got replace vote. After sons death, Manuel Patricia Oliver founded organization Change The Ref empower young people changes education activism variety issues, notably gun violence. They helped craft video, sons wardrobe mannerisms say, relying Twitter account musings help guide them. Its dots posts, way thinks, thinking, way expressing frustration situations, mom said phone interview Friday. The teen, affectionately known Guac, affected racism young age protective Hispanic immigrant parents. When 12yearsold wrote letter gunmakers asking didnt support universal background checks. We letting Joaquin grow ideas ... reacting things happening today, father said. We know son knew exactly wanted life. The lifelike image painful watch grieving parents. I breathe well, mother said time saw video. Of course know Joaquin, amazing job technology say, Oh God, I wish real Joaquin talking everybody. For Manuel Oliver, hes harnessed pain create change. The artist traveled country Joaquins behalf, painting mural sons birthday outside National Rifle Associations headquarters leading rally headquarters Smith Wesson. I wouldnt painful powerful. Were Seen Were Seen celebrating July 4? Were Seen Taste Triangle? Were Seen Mardi Gras? Were Seen Aurora Ball? The Latest Stocks slip Trump tests positive, job growth slows Trumps COVID infection scuttles Houston campaign event 17 SE Texans indicted connection drug, gun crimes Opinion: DD6 needed budget reset, lower raises Chicken gumbo riblets: New food Texans games 2020 Astros Carlos Correa: I know lot people mad Amazon says nearly 20K employees caught covid19 New business coming Beaumont Lagniappe: Grant help sought repeatedly flooded SETX... Local News NFL postpones Titans vs. Steelers positive COVID19... Falls hay day arrived Evadale elementary teacher dies coronavirus 17 SE Texans indicted connection drug, gun crimes Evadale ISD closes second time year to... Parmer retire Baptist CEO 30 years View Comments 2020 Hearst Communications, . Logo Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Advertising Careers FAQ Us Connect Facebook Twitter Instagram r eEdition Become A r Manage Account: r Services Hearst Newspapers Hearst Newspapers, II LLC
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"pain", "create", "change", "artist", "traveled", "country", "joaquins", "behalf", "painting", "mural", "sons", "birthday", "outside", "national", "rifle", "associations", "headquarters", "leading", "rally", "headquarters", "smith", "wesson", "wouldnt", "painful", "powerful", "seen", "seen", "celebrating", "july", "seen", "taste", "triangle", "seen", "mardi", "gras", "seen", "aurora", "ball", "latest", "stocks", "slip", "trump", "tests", "positive", "job", "growth", "slows", "trumps", "covid", "infection", "scuttles", "houston", "campaign", "event", "se", "texans", "indicted", "connection", "drug", "gun", "crimes", "opinion", "dd", "needed", "budget", "reset", "lower", "raises", "chicken", "gumbo", "riblets", "new", "food", "texans", "games", "astros", "carlos", "correa", "know", "lot", "people", "mad", "amazon", "says", "nearly", "employees", "caught", "covid", "new", "business", "coming", "beaumont", "lagniappe", "grant", "help", "sought", "repeatedly", "flooded", "setx", "local", "news", "nfl", "postpones", "titans", "vs", "steelers", "positive", "covid", "falls", "hay", "day", "arrived", "evadale", "elementary", "teacher", "dies", "coronavirus", "se", "texans", "indicted", "connection", "drug", "gun", "crimes", "evadale", "isd", "closes", "second", "time", "year", "parmer", "retire", "baptist", "ceo", "years", "view", "comments", "hearst", "communications", "logo", "return", "privacy", "notice", "california", "privacy", "rights", "based", "ads", "terms", "use", "advertising", "careers", "faq", "connect", "facebook", "twitter", "instagram", "eedition", "manage", "account", "services", "hearst", "newspapers", "hearst", "newspapers", "ii", "llc" ]
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https://www.benzinga.com/analyst-ratings/analyst-color/23/04/32003544/microsofts-ai-ambitions-spell-trouble-for-intel-warns-analyst
2023-04-26T00:00:00
en
Why Microsoft's AI Focus Spells Trouble for Intel - Microsoft (NASDAQ:MSFT), Intel (NASDAQ:INTC) - Benzinga
Why Microsoft's AI Focus Spells Trouble for Intel - Microsoft (NASDAQ:MSFT), Intel (NASDAQ:INTC) - BenzingaEspañolIndiaItalianoFrançaisMy AccountMy AccountNotificationsOverview+ New WatchlistBenzinga ResearchBenzinga ProLog In––%––%––%––%––%––%––%Data & APIsEventsMarketfyPremarketBoostContributeEspañolIndiaItalianoFrançaisSign inOur Services News EarningsGuidanceDividendsM&ABuybacksLegalInterviewsManagementOfferingsIPOsInsider TradesBiotech/FDAFreightPoliticsGovernmentHealthcareMarkets Pre-MarketAfter HoursMoversETFsForexCannabisCommoditiesOptionsBinary OptionsBondsFuturesCME GroupGlobal EconomicsPreviewsSmall-CapCryptocurrencyPenny StocksDigital SecuritiesVolatilityRatings Analyst ColorDowngradesUpgradesInitiationsPrice TargetIdeas Trade IdeasCovey Trade IdeasLong IdeasShort IdeasTechnicalsFrom The PressJim CramerRumorsBest Stocks & ETFsBest Penny StocksBest S&P 500 ETFsBest Swing Trade StocksBest Blue Chip StocksBest High-Volume Penny StocksBest Small Cap ETFsBest Stocks to Day TradeBest REITsYield How to Buy Corporate BondsHow to Buy Treasury BondsHow to Invest in Real Estate OnlinePersonal Finance Compare Online BrokersStock BrokersForex BrokersFutures BrokersCrypto BrokersOptions BrokersETF BrokersMutual Fund BrokersIndex Fund BrokersBond BrokersShort Selling BrokersStock AppsAll Broker ReviewsInsuranceAutoHomeMedicareLifeVisionDentalBusinessPetHealthMotorcycleRentersWorkers CompTop StocksPenny StocksStocks Under $5Stocks Under $10Stocks Under $20Stocks Under $50Stocks Under $100Alternative InvestingInvest in ArtInvest in WatchesInvest in LandInvest in Real EstateInvest in WineInvest in GoldMortgagesRefinancePurchaseFind a Mortgage BrokerAlts Alternative Investment PlatformsREITs Versus CrowdfundingHow to Invest in ArtworkHow to Invest in JewelryBest Real Estate Crowdfunding PlatformsBest Alternative InvestmentsBest Alternative Investment PlatformsCrypto Get StartedIs Bitcoin a Good Investment?Is Ethereum a Good Investment?What is BlockchainBest AltcoinsHow to Buy Cryptocurrency?DeFiCrypto and DeFi 101What is DeFi?Decentralized ExchangesBest DeFi Yield FarmsDigital SecuritiesNFTsNFT Release CalendarWhat is a Non-Fungible Token (NFT)?How to Buy Non-Fungible Tokens (NFTs)CryptoPunks WatchlistAre NFTs a Scam or a Digital Bubble?Best In CryptoBest Crypto AppsBest Crypto Portfolio TrackersBest Crypto Day Trading StrategiesBest Crypto IRABest Cryptocurrency ScannersBest Business Crypto AccountsBest Crypto ScreenersCannabis Cannabis ConferenceNewsEarningsInterviewsDealsRegulationsPsychedelicsTV WatchYouTubePodcastsIdeas Trade IdeasCovey Trade IdeasLong IdeasShort IdeasTechnicalsFrom The PressJim CramerRumorsBest Stocks & ETFsBest Penny StocksBest S&P 500 ETFsBest Swing Trade StocksBest Blue Chip StocksBest High-Volume Penny StocksBest Small Cap ETFsBest Stocks to Day TradeBest REITsYield How to Buy Corporate BondsHow to Buy Treasury BondsHow to Invest in Real Estate OnlinePersonal Finance Compare Online BrokersStock BrokersForex BrokersFutures BrokersCrypto BrokersOptions BrokersETF BrokersMutual Fund BrokersIndex Fund BrokersBond BrokersShort Selling BrokersStock AppsAll Broker ReviewsInsuranceAutoHomeMedicareLifeVisionDentalBusinessPetHealthMotorcycleRentersWorkers CompTop StocksPenny StocksStocks Under $5Stocks Under $10Stocks Under $20Stocks Under $50Stocks Under $100Alternative InvestingInvest in ArtInvest in WatchesInvest in LandInvest in Real EstateInvest in WineInvest in GoldMortgagesRefinancePurchaseFind a Mortgage BrokerAlts Alternative Investment PlatformsREITs Versus CrowdfundingHow to Invest in ArtworkHow to Invest in JewelryBest Real Estate Crowdfunding PlatformsBest Alternative InvestmentsBest Alternative Investment PlatformsCrypto Get StartedIs Bitcoin a Good Investment?Is Ethereum a Good Investment?What is BlockchainBest AltcoinsHow to Buy Cryptocurrency?DeFiCrypto and DeFi 101What is DeFi?Decentralized ExchangesBest DeFi Yield FarmsDigital SecuritiesNFTsNFT Release CalendarWhat is a Non-Fungible Token (NFT)?How to Buy Non-Fungible Tokens (NFTs)CryptoPunks WatchlistAre NFTs a Scam or a Digital Bubble?Best In CryptoBest Crypto AppsBest Crypto Portfolio TrackersBest Crypto Day Trading StrategiesBest Crypto IRABest Cryptocurrency ScannersBest Business Crypto AccountsBest Crypto ScreenersCannabis Cannabis ConferenceNewsEarningsInterviewsDealsRegulationsPsychedelicsTV WatchYouTubePodcastsArt InvestingResearchMy StocksToolsCalendarsAnalyst Ratings CalendarConference Call CalendarDividend CalendarEarnings CalendarEconomic CalendarFDA CalendarGuidance CalendarIPO CalendarM&A CalendarSPAC CalendarStock Split CalendarTrade IdeasInsider TradesTrade Idea FeedAnalyst RatingsUnusual Options ActivityHeatmapsShort InterestMost ShortedLargest IncreaseLargest DecreaseCalculatorsMargin CalculatorForex Profit Calculator100x Options Profit Calculator––%––%––%––%––%––%––%Microsoft's AI Ambitions Spell Trouble for Intel, Warns Analystby Shanthi Rexaline, Benzinga Editor April 26, 2023 1:34 AM | 1 min read Microsoft Corp.'s MSFT first-quarter results released on Tuesday underlined the company's early success with the adoption of artificial intelligence and its increasing accent on the technology.This could prove to be a positive for the software giant but hurt one of the biggest chipmakers, an analyst said.Microsoft cut server orders by 25-30% in 2023, with the bulk of these planned for the second half of the year, said Ming-Chi Kuo, an analyst at TF International Securities. Specifically, Intel Corp.'s INTC Sapphire Rapids server orders were cut by 50-70%, he noted. 1. Microsoft對本季度整體雲端支出的正向展望，已提前反應在緯穎 (Microsoft主要伺服器供應商) 的1Q23營收與股價。2. 然而，正如我預測Microsoft伺服器訂單下修主要在2H23。緯穎下半年的Microsoft伺服器訂單下修，可能代表Microsoft雖持續提升AI投資，但整體伺服器採購量將在2H23放緩。3.… https://t.co/nIsGFbJAi0— 郭明錤 (Ming-Chi Kuo) (@mingchikuo) April 26, 2023 The analyst also noted that not all of the servers Microsoft purchases for AI are Intel/x86 solutions. "The increasing share of AI in Microsoft's overall cloud spending is not good news for Intel," he said.More details on the impact could be gleaned from Intel's quarterly results, which are due on Thursday.Intel closed Tuesday’s session down 2.63% at $28.88, according to Benzinga Pro data. See Also: Best Technology Stocks Right Now© 2023 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.Posted In: Analyst ColorEquitiesNewsAnalyst RatingsTechAIartificial intelligencecloud computingExpert IdeasMing-Chi KuoPopular ChannelsPreMarket PrepPress ReleasesAnalyst RatingsNewsOptionsETFsTools & FeaturesReal Time FeedPublic RSS FeedsSubmit News TipsBlogEmbeddable Finance Widgets & ToolsBenzinga CatalystPartners & ContributorsAffiliate ProgramContributor PortalLicensing & SyndicationSponsored ContentAdvertise With UsLead Generation & SEOAbout BenzingaAbout UsCareersIn The NewsEventsContact UsTerms & Conditions Do Not Sell My Personal Data/Privacy PolicyDisclaimer Service StatusSitemap© 2023 Benzinga | All Rights Reserved
Why Microsoft's AI Focus Spells Trouble for Intel
Why Microsofts AI Focus Spells Trouble Intel Microsoft NASDAQ:MSFT, Intel NASDAQ:INTC BenzingaEspaolIndiaItalianoFranaisMy AccountMy AccountNotificationsOverview New WatchlistBenzinga ResearchBenzinga ProLog InData APIsEventsMarketfyPremarketBoostContributeEspaolIndiaItalianoFranaisSign inOur Services News EarningsGuidanceDividendsMABuybacksLegalInterviewsManagementOfferingsIPOsInsider TradesBiotechFDAFreightPoliticsGovernmentHealthcareMarkets PreMarketAfter HoursMoversETFsForexCannabisCommoditiesOptionsBinary OptionsBondsFuturesCME GroupGlobal EconomicsPreviewsSmallCapCryptocurrencyPenny StocksDigital SecuritiesVolatilityRatings Analyst ColorDowngradesUpgradesInitiationsPrice TargetIdeas Trade IdeasCovey Trade IdeasLong IdeasShort IdeasTechnicalsFrom The PressJim CramerRumorsBest Stocks ETFsBest Penny StocksBest SP 500 ETFsBest Swing Trade StocksBest Blue Chip StocksBest HighVolume Penny StocksBest Small Cap ETFsBest Stocks Day TradeBest REITsYield How Buy Corporate BondsHow Buy Treasury BondsHow Invest Real Estate OnlinePersonal Finance Compare Online BrokersStock BrokersForex BrokersFutures BrokersCrypto BrokersOptions BrokersETF BrokersMutual Fund BrokersIndex Fund BrokersBond BrokersShort Selling BrokersStock AppsAll Broker ReviewsInsuranceAutoHomeMedicareLifeVisionDentalBusinessPetHealthMotorcycleRentersWorkers CompTop StocksPenny StocksStocks Under 5Stocks Under 10Stocks Under 20Stocks Under 50Stocks Under 100Alternative InvestingInvest ArtInvest WatchesInvest LandInvest Real EstateInvest WineInvest GoldMortgagesRefinancePurchaseFind Mortgage BrokerAlts Alternative Investment PlatformsREITs Versus CrowdfundingHow Invest ArtworkHow Invest JewelryBest Real Estate Crowdfunding PlatformsBest Alternative InvestmentsBest Alternative Investment PlatformsCrypto Get StartedIs Bitcoin Good Investment?Is Ethereum Good Investment?What BlockchainBest AltcoinsHow Buy Cryptocurrency?DeFiCrypto DeFi 101What DeFi?Decentralized ExchangesBest DeFi Yield FarmsDigital SecuritiesNFTsNFT Release CalendarWhat NonFungible Token NFT?How Buy NonFungible Tokens NFTsCryptoPunks WatchlistAre NFTs Scam Digital Bubble?Best In CryptoBest Crypto AppsBest Crypto Portfolio TrackersBest Crypto Day Trading StrategiesBest Crypto IRABest Cryptocurrency ScannersBest Business Crypto AccountsBest Crypto ScreenersCannabis Cannabis ConferenceNewsEarningsInterviewsDealsRegulationsPsychedelicsTV WatchYouTubePodcastsIdeas Trade IdeasCovey Trade IdeasLong IdeasShort IdeasTechnicalsFrom The PressJim CramerRumorsBest Stocks ETFsBest Penny StocksBest SP 500 ETFsBest Swing Trade StocksBest Blue Chip StocksBest HighVolume Penny StocksBest Small Cap ETFsBest Stocks Day TradeBest REITsYield How Buy Corporate BondsHow Buy Treasury BondsHow Invest Real Estate OnlinePersonal Finance Compare Online BrokersStock BrokersForex BrokersFutures BrokersCrypto BrokersOptions BrokersETF BrokersMutual Fund BrokersIndex Fund BrokersBond BrokersShort Selling BrokersStock AppsAll Broker ReviewsInsuranceAutoHomeMedicareLifeVisionDentalBusinessPetHealthMotorcycleRentersWorkers CompTop StocksPenny StocksStocks Under 5Stocks Under 10Stocks Under 20Stocks Under 50Stocks Under 100Alternative InvestingInvest ArtInvest WatchesInvest LandInvest Real EstateInvest WineInvest GoldMortgagesRefinancePurchaseFind Mortgage BrokerAlts Alternative Investment PlatformsREITs Versus CrowdfundingHow Invest ArtworkHow Invest JewelryBest Real Estate Crowdfunding PlatformsBest Alternative InvestmentsBest Alternative Investment PlatformsCrypto Get StartedIs Bitcoin Good Investment?Is Ethereum Good Investment?What BlockchainBest AltcoinsHow Buy Cryptocurrency?DeFiCrypto DeFi 101What DeFi?Decentralized ExchangesBest DeFi Yield FarmsDigital SecuritiesNFTsNFT Release CalendarWhat NonFungible Token NFT?How Buy NonFungible Tokens NFTsCryptoPunks WatchlistAre NFTs Scam Digital Bubble?Best In CryptoBest Crypto AppsBest Crypto Portfolio TrackersBest Crypto Day Trading StrategiesBest Crypto IRABest Cryptocurrency ScannersBest Business Crypto AccountsBest Crypto ScreenersCannabis Cannabis ConferenceNewsEarningsInterviewsDealsRegulationsPsychedelicsTV WatchYouTubePodcastsArt InvestingResearchMy StocksToolsCalendarsAnalyst Ratings CalendarConference Call CalendarDividend CalendarEarnings CalendarEconomic CalendarFDA CalendarGuidance CalendarIPO CalendarMA CalendarSPAC CalendarStock Split CalendarTrade IdeasInsider TradesTrade Idea FeedAnalyst RatingsUnusual Options ActivityHeatmapsShort InterestMost ShortedLargest reaseLargest DecreaseCalculatorsMargin CalculatorForex Profit Calculator100x Options Profit CalculatorMicrosofts AI Ambitions Spell Trouble Intel, Warns Analystby Shanthi Rexaline, Benzinga Editor April 26, 2023 1:34 AM 1 min read Microsoft Corp.s MSFT firstquarter results released Tuesday underlined companys early success adoption artificial intelligence increasing accent technology.This prove positive software giant hurt biggest chipmakers, analyst said.Microsoft cut server orders 2530 2023, bulk planned second half year, said MingChi Kuo, analyst TF International Securities. Specifically, Intel Corp.s INTC Sapphire Rapids server orders cut 5070, noted. 1. Microsoft Microsoft 1Q232. Microsoft2H23MicrosoftMicrosoftAI2H233. MingChi Kuo April 26, 2023 The analyst noted servers Microsoft purchases AI Intelx86 solutions. The increasing share AI Microsofts overall cloud spending good news Intel, said.More details impact gleaned Intels quarterly results, Thursday.Intel closed Tuesdays session 2.63 28.88, according Benzinga Pro data. See Also: Best Technology Stocks Right Now 2023 . Benzinga provide investment advice. .Posted In: Analyst ColorEquitiesNewsAnalyst RatingsTechAIartificial intelligencecloud computingExpert IdeasMingChi KuoPopular ChannelsPreMarket PrepPress ReleasesAnalyst RatingsNewsOptionsETFsTools FeaturesReal Time FeedPublic RSS FeedsSubmit News TipsBlogEmbeddable Finance Widgets ToolsBenzinga CatalystPartners ContributorsAffiliate ProgramContributor PortalLicensing SyndicationSponsored ContentAdvertise With UsLead Generation SEOAbout BenzingaCareersIn The NewsEvents UsTerms Conditions Do Not Sell My Personal DataDisclaimer Service StatusSitemap 2023 Benzinga
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"tradestrade", "idea", "feedanalyst", "ratingsunusual", "options", "interestmost", "shortedlargest", "reaselargest", "calculatorforex", "profit", "calculator", "options", "profit", "ai", "ambitions", "spell", "trouble", "intel", "warns", "analystby", "shanthi", "rexaline", "benzinga", "editor", "april", "min", "read", "microsoft", "corp", "msft", "firstquarter", "results", "released", "tuesday", "underlined", "companys", "early", "success", "adoption", "artificial", "intelligence", "increasing", "accent", "technology", "prove", "positive", "software", "giant", "hurt", "biggest", "chipmakers", "analyst", "said", "microsoft", "cut", "server", "orders", "bulk", "planned", "second", "half", "year", "said", "mingchi", "kuo", "analyst", "tf", "international", "securities", "specifically", "intel", "corp", "intc", "sapphire", "rapids", "server", "orders", "cut", "noted", "microsoft", "microsoft", "microsoft", "mingchi", "kuo", "april", "analyst", "noted", "servers", "microsoft", "purchases", 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https://www.benzinga.com/news/large-cap/23/05/32559719/openais-chatgpt-under-pressure-investment-battle-takes-a-surprising-turn
2023-05-24T00:00:00
en
OpenAI's ChatGPT Under Pressure: Investment Battle Takes A Surprising Turn - Invesco QQQ Trust, Series 1 (NASDAQ:QQQ), SPDR S&P 500 (ARCA:SPY) - Benzinga
OpenAI's ChatGPT Under Pressure: Investment Battle Takes A Surprising Turn - Invesco QQQ Trust, Series 1 (NASDAQ:QQQ), SPDR S&P 500 (ARCA:SPY) - BenzingaEspañolIndiaItalianoFrançaisMy AccountMy AccountNotificationsOverview+ New WatchlistBenzinga ResearchBenzinga ProLog In-––%-––%-––%-––%-––%-––%-––%Data & APIsEventsMarketfyPremarketBoostAdvertiseContributeEspañolIndiaItalianoFrançaisSign inOur Services News EarningsGuidanceDividendsM&ABuybacksLegalInterviewsManagementOfferingsIPOsInsider TradesBiotech/FDAFreightPoliticsGovernmentHealthcareMarkets Pre-MarketAfter HoursMoversETFsForexCannabisCommoditiesOptionsBinary OptionsBondsFuturesCME GroupGlobal EconomicsPreviewsSmall-CapCryptocurrencyPenny StocksDigital SecuritiesVolatilityRatings Analyst ColorDowngradesUpgradesInitiationsPrice TargetIdeas Trade IdeasCovey Trade IdeasLong IdeasShort IdeasTechnicalsFrom The PressJim CramerRumorsBest Stocks & ETFsBest Penny StocksBest S&P 500 ETFsBest Swing Trade StocksBest Blue Chip StocksBest High-Volume Penny StocksBest Small Cap ETFsBest Stocks to Day TradeBest REITsYield How to Buy Corporate BondsHow to Buy Treasury BondsHow to Invest in Real Estate OnlinePersonal Finance Compare Online BrokersStock BrokersForex BrokersFutures BrokersCrypto BrokersOptions BrokersETF BrokersMutual Fund BrokersIndex Fund BrokersBond BrokersShort Selling BrokersStock AppsAll Broker ReviewsInsuranceAutoHomeMedicareLifeVisionDentalBusinessPetHealthMotorcycleRentersWorkers CompTop StocksPenny StocksStocks Under $5Stocks Under $10Stocks Under $20Stocks Under $50Stocks Under $100Alternative InvestingInvest in ArtInvest in WatchesInvest in LandInvest in Real EstateInvest in WineInvest in GoldMortgagesRefinancePurchaseFind a Mortgage BrokerAlts Alternative Investment PlatformsREITs Versus CrowdfundingHow to Invest in ArtworkHow to Invest in JewelryBest Real Estate Crowdfunding PlatformsBest Alternative InvestmentsBest Alternative Investment PlatformsCrypto Get StartedIs Bitcoin a Good Investment?Is Ethereum a Good Investment?What is BlockchainBest AltcoinsHow to Buy Cryptocurrency?DeFiCrypto and DeFi 101What is DeFi?Decentralized ExchangesBest DeFi Yield FarmsDigital SecuritiesNFTsNFT Release CalendarWhat is a Non-Fungible Token (NFT)?How to Buy Non-Fungible Tokens (NFTs)CryptoPunks WatchlistAre NFTs a Scam or a Digital Bubble?Best In CryptoBest Crypto AppsBest Crypto Portfolio TrackersBest Crypto Day Trading StrategiesBest Crypto IRABest Cryptocurrency ScannersBest Business Crypto AccountsBest Crypto ScreenersCannabis Cannabis ConferenceNewsEarningsInterviewsDealsRegulationsPsychedelicsTV WatchYouTubePodcastsIdeas Trade IdeasCovey Trade IdeasLong IdeasShort IdeasTechnicalsFrom The PressJim CramerRumorsBest Stocks & ETFsBest Penny StocksBest S&P 500 ETFsBest Swing Trade StocksBest Blue Chip StocksBest High-Volume Penny StocksBest Small Cap ETFsBest Stocks to Day TradeBest REITsYield How to Buy Corporate BondsHow to Buy Treasury BondsHow to Invest in Real Estate OnlinePersonal Finance Compare Online BrokersStock BrokersForex BrokersFutures BrokersCrypto BrokersOptions BrokersETF BrokersMutual Fund BrokersIndex Fund BrokersBond BrokersShort Selling BrokersStock AppsAll Broker ReviewsInsuranceAutoHomeMedicareLifeVisionDentalBusinessPetHealthMotorcycleRentersWorkers CompTop StocksPenny StocksStocks Under $5Stocks Under $10Stocks Under $20Stocks Under $50Stocks Under $100Alternative InvestingInvest in ArtInvest in WatchesInvest in LandInvest in Real EstateInvest in WineInvest in GoldMortgagesRefinancePurchaseFind a Mortgage BrokerAlts Alternative Investment PlatformsREITs Versus CrowdfundingHow to Invest in ArtworkHow to Invest in JewelryBest Real Estate Crowdfunding PlatformsBest Alternative InvestmentsBest Alternative Investment PlatformsCrypto Get StartedIs Bitcoin a Good Investment?Is Ethereum a Good Investment?What is BlockchainBest AltcoinsHow to Buy Cryptocurrency?DeFiCrypto and DeFi 101What is DeFi?Decentralized ExchangesBest DeFi Yield FarmsDigital SecuritiesNFTsNFT Release CalendarWhat is a Non-Fungible Token (NFT)?How to Buy Non-Fungible Tokens (NFTs)CryptoPunks WatchlistAre NFTs a Scam or a Digital Bubble?Best In CryptoBest Crypto AppsBest Crypto Portfolio TrackersBest Crypto Day Trading StrategiesBest Crypto IRABest Cryptocurrency ScannersBest Business Crypto AccountsBest Crypto ScreenersCannabis Cannabis ConferenceNewsEarningsInterviewsDealsRegulationsPsychedelicsTV WatchYouTubePodcastsArt InvestingResearchMy StocksToolsCalendarsAnalyst Ratings CalendarConference Call CalendarDividend CalendarEarnings CalendarEconomic CalendarFDA CalendarGuidance CalendarIPO CalendarM&A CalendarSPAC CalendarStock Split CalendarTrade IdeasInsider TradesTrade Idea FeedAnalyst RatingsUnusual Options ActivityHeatmapsShort InterestMost ShortedLargest IncreaseLargest DecreaseCalculatorsMargin CalculatorForex Profit Calculator100x Options Profit Calculator-––%-––%-––%-––%-––%-––%-––%OpenAI's ChatGPT Under Pressure: Investment Battle Takes A Surprising Turnby AJ Fabino, Benzinga Staff Writer  May 24, 2023 2:21 PM | 2 min read Zinger Key PointsChatGPT's portfolio saw a 0.25% gain, trailing six of the top 10 U.S. funds in week two of Benzinga's experiment.Benzinga explores AI's potential in investing.Welcome back to another installment of Benzinga’s unique experiment — pitting OpenAI’s ChatGPT against top-tier U.S. equity funds. If you’re just joining us, Benzinga challenged ChatGPT to construct a portfolio with a hypothetical $10,000, aiming to outperform 10 of the most prominent U.S. equity funds.The second week of the challenge is behind us, and we’re here with the updates. The competitors remain the same, with the likes of SPDR S&P 500 ETF Trust SPY, Invesco QQQ Trust QQQ and more, attempting to outrun the AI-crafted portfolio.So, let’s cut to the chase. Here’s how the funds performed this week against Benzinga's ChatGPT portfolio:Fund/ETF2-Week PerformanceSPDR S&P 500 ETF-0.66%Invesco QQQ Trust+1.53%Schwab Total Stock Market Index Fund+0.41%Vanguard Growth Index Fund+1.18%Vanguard Value Index Fund-0.67%iShares MSCI EAFE ETF-2.55%Vanguard Total International Bond Index Fund-0.77%Fidelity Contrafund+0.95%T. Rowe Price Growth Stock Fund+1.42%Fidelity Total Market Index Fund+0.43%ChatGPT2-Week PerformanceBenzinga's ChatGPT Portfolio+0.25%This week saw a shuffle in the standings. ChatGPT’s portfolio, which was on an upward swing, saw a slight deceleration and posted a gain of 0.25%, giving up some of its strong start. It was outpaced by six of the 10 leading funds, with T. Rowe Price Growth Stock Fund taking the lead, posting the week’s highest gain at 1.42%. To see the stocks in Benzinga’s AI portfolio, click here.Last week’s results, here.While the results might seem mixed, let’s not lose sight of the bigger picture. This is just the second week of a six-month experiment. The realm of investing is known for its ebb and flow, and while ChatGPT’s portfolio was ahead in the first week, it’s not unusual to see the leaderboard change from week to week.The aim of this series is not to propose AI as a substitute for human financial advisors. Rather, Benzinga is investigating the potential of AI as a supportive tool for making investment decisions. While ChatGPT is quite sophisticated, it does not have the capability to comprehend real-time data or evaluate individual financial situations.Keep in mind, it’s not a licensed financial advisor, but this experiment surely adds an interesting dimension to the discourse on AI’s role in finance.Join Benzinga next Wednesday for another update in the captivating series, "Is ChatGPT A Better Financial Advisor?" We’re eager to see how the third week unfolds for the AI-crafted portfolio.Read Next: AI Search War Between Alphabet And Microsoft? The Integration Of Bing In ChatGPT Could Erode Google’s Data Advantage© 2023 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.Posted In: Large CapNewsMarketsTechTrading IdeasGeneralAIartificial intelligenceBenzingaGPTChatGPTExpert IdeasOpenAiPopular ChannelsPreMarket PrepPress ReleasesAnalyst RatingsNewsOptionsETFsTools & FeaturesReal Time FeedPublic RSS FeedsSubmit News TipsBlogEmbeddable Finance Widgets & ToolsBenzinga CatalystPartners & ContributorsAffiliate ProgramContributor PortalLicensing & SyndicationSponsored ContentAdvertise With UsLead Generation & SEOAbout BenzingaAbout UsCareersIn The NewsEventsContact UsTerms & Conditions Do Not Sell My Personal Data/Privacy PolicyDisclaimer Service StatusSitemap© 2023 Benzinga | All Rights Reserved
OpenAI's ChatGPT Under Pressure: Investment Battle Takes A Surprising Turn
OpenAIs ChatGPT Under Pressure: Investment Battle Takes A Surprising Turn Invesco QQQ Trust, Series 1 NASDAQ:QQQ, SPDR SP 500 ARCA:SPY BenzingaEspaolIndiaItalianoFranaisMy AccountMy AccountNotificationsOverview New WatchlistBenzinga ResearchBenzinga ProLog InData APIsEventsMarketfyPremarketBoostAdvertiseContributeEspaolIndiaItalianoFranaisSign inOur Services News EarningsGuidanceDividendsMABuybacksLegalInterviewsManagementOfferingsIPOsInsider TradesBiotechFDAFreightPoliticsGovernmentHealthcareMarkets PreMarketAfter HoursMoversETFsForexCannabisCommoditiesOptionsBinary OptionsBondsFuturesCME GroupGlobal EconomicsPreviewsSmallCapCryptocurrencyPenny StocksDigital SecuritiesVolatilityRatings Analyst ColorDowngradesUpgradesInitiationsPrice TargetIdeas Trade IdeasCovey Trade IdeasLong IdeasShort IdeasTechnicalsFrom The PressJim CramerRumorsBest Stocks ETFsBest Penny StocksBest SP 500 ETFsBest Swing Trade StocksBest Blue Chip StocksBest HighVolume Penny StocksBest Small Cap ETFsBest Stocks Day TradeBest REITsYield How Buy Corporate BondsHow Buy Treasury BondsHow Invest Real Estate OnlinePersonal Finance Compare Online BrokersStock BrokersForex BrokersFutures BrokersCrypto BrokersOptions BrokersETF BrokersMutual Fund BrokersIndex Fund BrokersBond BrokersShort Selling BrokersStock AppsAll Broker ReviewsInsuranceAutoHomeMedicareLifeVisionDentalBusinessPetHealthMotorcycleRentersWorkers CompTop StocksPenny StocksStocks Under 5Stocks Under 10Stocks Under 20Stocks Under 50Stocks Under 100Alternative InvestingInvest ArtInvest WatchesInvest LandInvest Real EstateInvest WineInvest GoldMortgagesRefinancePurchaseFind Mortgage BrokerAlts Alternative Investment PlatformsREITs Versus CrowdfundingHow Invest ArtworkHow Invest JewelryBest Real Estate Crowdfunding PlatformsBest Alternative InvestmentsBest Alternative Investment PlatformsCrypto Get StartedIs Bitcoin Good Investment?Is Ethereum Good Investment?What BlockchainBest AltcoinsHow Buy Cryptocurrency?DeFiCrypto DeFi 101What DeFi?Decentralized ExchangesBest DeFi Yield FarmsDigital SecuritiesNFTsNFT Release CalendarWhat NonFungible Token NFT?How Buy NonFungible Tokens NFTsCryptoPunks WatchlistAre NFTs Scam Digital Bubble?Best In CryptoBest Crypto AppsBest Crypto Portfolio TrackersBest Crypto Day Trading StrategiesBest Crypto IRABest Cryptocurrency ScannersBest Business Crypto AccountsBest Crypto ScreenersCannabis Cannabis ConferenceNewsEarningsInterviewsDealsRegulationsPsychedelicsTV WatchYouTubePodcastsIdeas Trade IdeasCovey Trade IdeasLong IdeasShort IdeasTechnicalsFrom The PressJim CramerRumorsBest Stocks ETFsBest Penny StocksBest SP 500 ETFsBest Swing Trade StocksBest Blue Chip StocksBest HighVolume Penny StocksBest Small Cap ETFsBest Stocks Day TradeBest REITsYield How Buy Corporate BondsHow Buy Treasury BondsHow Invest Real Estate OnlinePersonal Finance Compare Online BrokersStock BrokersForex BrokersFutures BrokersCrypto BrokersOptions BrokersETF BrokersMutual Fund BrokersIndex Fund BrokersBond BrokersShort Selling BrokersStock AppsAll Broker ReviewsInsuranceAutoHomeMedicareLifeVisionDentalBusinessPetHealthMotorcycleRentersWorkers CompTop StocksPenny StocksStocks Under 5Stocks Under 10Stocks Under 20Stocks Under 50Stocks Under 100Alternative InvestingInvest ArtInvest WatchesInvest LandInvest Real EstateInvest WineInvest GoldMortgagesRefinancePurchaseFind Mortgage BrokerAlts Alternative Investment PlatformsREITs Versus CrowdfundingHow Invest ArtworkHow Invest JewelryBest Real Estate Crowdfunding PlatformsBest Alternative InvestmentsBest Alternative Investment PlatformsCrypto Get StartedIs Bitcoin Good Investment?Is Ethereum Good Investment?What BlockchainBest AltcoinsHow Buy Cryptocurrency?DeFiCrypto DeFi 101What DeFi?Decentralized ExchangesBest DeFi Yield FarmsDigital SecuritiesNFTsNFT Release CalendarWhat NonFungible Token NFT?How Buy NonFungible Tokens NFTsCryptoPunks WatchlistAre NFTs Scam Digital Bubble?Best In CryptoBest Crypto AppsBest Crypto Portfolio TrackersBest Crypto Day Trading StrategiesBest Crypto IRABest Cryptocurrency ScannersBest Business Crypto AccountsBest Crypto ScreenersCannabis Cannabis ConferenceNewsEarningsInterviewsDealsRegulationsPsychedelicsTV WatchYouTubePodcastsArt InvestingResearchMy StocksToolsCalendarsAnalyst Ratings CalendarConference Call CalendarDividend CalendarEarnings CalendarEconomic CalendarFDA CalendarGuidance CalendarIPO CalendarMA CalendarSPAC CalendarStock Split CalendarTrade IdeasInsider TradesTrade Idea FeedAnalyst RatingsUnusual Options ActivityHeatmapsShort InterestMost ShortedLargest reaseLargest DecreaseCalculatorsMargin CalculatorForex Profit Calculator100x Options Profit CalculatorOpenAIs ChatGPT Under Pressure: Investment Battle Takes A Surprising Turnby AJ Fabino, Benzinga Staff Writer May 24, 2023 2:21 PM 2 min read Zinger Key PointsChatGPTs portfolio saw 0.25 gain, trailing 10 U.S. funds week Benzingas experiment.Benzinga explores AIs potential investing.Welcome installment Benzingas unique experiment pitting OpenAIs ChatGPT toptier U.S. equity funds.If youre joining us, Benzinga challenged ChatGPT construct portfolio hypothetical 10,000, aiming outperform 10 prominent U.S. equity funds.The second week challenge us, updates. The competitors remain same, likes SPDR SP 500 ETF Trust SPY, Invesco QQQ Trust QQQ more, attempting outrun AIcrafted portfolio.So, lets cut chase. Heres funds performed week Benzingas ChatGPT portfolio:FundETF2Week PerformanceSPDR SP 500 ETF0.66Invesco QQQ Trust1.53Schwab Total Stock Market Index Fund0.41Vanguard Growth Index Fund1.18Vanguard Value Index Fund0.67iShares MSCI EAFE ETF2.55Vanguard Total International Bond Index Fund0.77Fidelity Contrafund0.95T. Rowe Price Growth Stock Fund1.42Fidelity Total Market Index Fund0.43ChatGPT2Week PerformanceBenzingas ChatGPT Portfolio0.25This week saw shuffle standings. ChatGPTs portfolio, upward swing, saw slight deceleration posted gain 0.25, giving strong start.It outpaced 10 leading funds, T. Rowe Price Growth Stock Fund taking lead, posting weeks highest gain 1.42. To stocks Benzingas AI portfolio, click here.Last weeks results, here.While results mixed, lets lose sight bigger picture. This second week sixmonth experiment. The realm investing known ebb flow, ChatGPTs portfolio ahead week, unusual leaderboard change week week.The aim series propose AI substitute human financial advisors. Rather, Benzinga investigating potential AI supportive tool making investment decisions. While ChatGPT sophisticated, capability comprehend realtime data evaluate individual financial situations.Keep mind, licensed financial advisor, experiment surely adds interesting dimension discourse AIs role finance.Join Benzinga Wednesday update captivating series, Is ChatGPT A Better Financial Advisor? Were eager week unfolds AIcrafted portfolio.Read Next: AI War Between Alphabet And Microsoft? The Integration Of Bing In ChatGPT Could Erode Googles Data Advantage 2023 . Benzinga provide investment advice. .Posted In: Large CapNewsMarketsTechTrading IdeasGeneralAIartificial intelligenceBenzingaGPTChatGPTExpert IdeasOpenAiPopular ChannelsPreMarket PrepPress ReleasesAnalyst RatingsNewsOptionsETFsTools FeaturesReal Time FeedPublic RSS FeedsSubmit News TipsBlogEmbeddable Finance Widgets ToolsBenzinga CatalystPartners ContributorsAffiliate ProgramContributor PortalLicensing SyndicationSponsored ContentAdvertise With UsLead Generation SEOAbout BenzingaCareersIn The NewsEvents UsTerms Conditions Do Not Sell My Personal DataDisclaimer Service StatusSitemap 2023 Benzinga
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"strategiesbest", "crypto", "irabest", "cryptocurrency", "scannersbest", "business", "crypto", "accountsbest", "crypto", "cannabis", "trade", "ideascovey", "trade", "ideaslong", "ideasshort", "pressjim", "stocks", "etfsbest", "penny", "stocksbest", "sp", "etfsbest", "swing", "trade", "stocksbest", "blue", "chip", "stocksbest", "highvolume", "penny", "stocksbest", "small", "cap", "etfsbest", "stocks", "day", "tradebest", "reitsyield", "buy", "corporate", "bondshow", "buy", "treasury", "bondshow", "invest", "real", "estate", "onlinepersonal", "finance", "compare", "online", "brokersstock", "brokersforex", "brokersfutures", "brokerscrypto", "brokersoptions", "brokersetf", "brokersmutual", "fund", "brokersindex", "fund", "brokersbond", "brokersshort", "selling", "brokersstock", "appsall", "broker", "comptop", "stockspenny", "stocksstocks", "stocks", "stocks", "stocks", "stocks", "alternative", "investinginvest", "artinvest", "watchesinvest", "landinvest", "real", "estateinvest", 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"calendarspac", "calendarstock", "split", "calendartrade", "ideasinsider", "tradestrade", "idea", "feedanalyst", "ratingsunusual", "options", "interestmost", "shortedlargest", "reaselargest", "calculatorforex", "profit", "calculator", "options", "profit", "chatgpt", "pressure", "investment", "battle", "takes", "surprising", "turnby", "aj", "fabino", "benzinga", "staff", "writer", "pm", "min", "read", "zinger", "key", "pointschatgpts", "portfolio", "saw", "gain", "trailing", "funds", "week", "benzingas", "experiment", "benzinga", "explores", "ais", "potential", "investing", "welcome", "installment", "benzingas", "unique", "experiment", "pitting", "openais", "chatgpt", "toptier", "equity", "funds", "youre", "joining", "benzinga", "challenged", "chatgpt", "construct", "portfolio", "hypothetical", "aiming", "outperform", "prominent", "equity", "funds", "second", "week", "challenge", "updates", "competitors", "remain", "likes", "spdr", "sp", "etf", "trust", "spy", "invesco", "qqq", "trust", 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"benzinga", "provide", "investment", "advice", "posted", "large", "preppress", "releasesanalyst", "featuresreal", "time", "feedpublic", "rss", "feedssubmit", "news", "finance", "widgets", "toolsbenzinga", "portallicensing", "uslead", "generation", "seoabout", "newsevents", "usterms", "conditions", "sell", "personal", "datadisclaimer", "service", "statussitemap", "benzinga" ]
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Italy Blocks ChatGPT, Investigates Suspected Violations | Binance News
Italy Blocks ChatGPT, Investigates Suspected Violations | Binance News ExchangeBlockchain and crypto asset exchangeAcademyBlockchain and crypto educationLearn & EarnEarn free crypto through learningCharityPowering blockchain for goodCloudEnterprise exchange solutionsDEXFast and secure decentralized digital asset exchangeLabsIncubator for top blockchain projectsLaunchpadToken Launch PlatformResearchInstitutional-grade analysis and reportsTrust WalletBinance's official crypto walletBinance Gift CardCustomizable crypto gift cardBinance LiveBringing blockchain broadcasts to you liveBABTVerified user credentials for the Web3 eraDeFi WalletMeet the next-generation Web3 walletBuy CryptoPay withTradeBinance ConvertThe easiest way to tradeSpotTrade crypto with advanced toolsMarginIncrease your profits with leverageStrategy TradingTrading made easy, trade like a proP2PBank transfer and 100+ optionsSwap FarmingSwap to earn BNBFan TokenUpgrade your fan experienceBinance OTCOTC liquidity and execution servicesDerivativesUSDⓈ-M FuturesPerpetual or Quarterly Contracts settled in USDT or BUSDCOIN-M FuturesPerpetual or Quarterly Contracts settled in CryptocurrencyOptionsBuy and Sell European-style Options.Leveraged TokensEnjoy increased leverage without risk of liquidationLeaderboardExclusive ranking for Binance traders, follow top traders' strategiesBinance Futures OverviewView our full range of crypto-derivative instrumentsFutures MarketsView trends and opportunities in the Futures Markets before tradingResponsible TradingLearn how you could practice responsible trading with Binance FuturesBlogExpand your knowledge and get the latest insights in Derivatives TradingVIP PortalVIP Exclusive, Tailor-made Institutional Grade ServicesEarnBinance EarnOne-stop Investment SolutionLaunchpadToken Launch PlatformSimple EarnEarn daily rewards on your idle tokensDeFi StakingEasy Access to DeFi OpportunitiesBNB VaultEarn Multi-benefits with BNBDual InvestmentCommit your crypto holdings and enjoy high returnsLiquidity FarmingAdd liquidity and earn doubleAuto-InvestnewAccumulate crypto on autopilotBinance PoolMine more rewards by connecting to the poolETH 2.0One click staking, rewards paid dailyRange BoundnewEarn high rewards when the market moves sidewaysFinanceBinance CardConvert and pay with crypto worldwideCrypto LoansGet an instant loan secured by crypto assetsBinance PaySend and spend crypto at zero feesBinance Gift CardCustomizable crypto gift cardNFTInstitutionalInstitutional HomePremium digital asset solutions for institutionsLinkConnect and grow with Binance liquidity solutionsAsset Management SolutionsDiscover various asset management solutionsVIP PortalOne-stop station made for VIP and institutionsCustodySecure digital assets with leading infrastructureVIP LoanBespoke institutional loan with wide coverageAPIsUnlimited opportunities with one keyHistorical Market DataYour all-in-one trading data repositoryExecution & OTC ServicesExecution & OTC ServicesFeedUSDFlash newscopy linkcreate picturemoreItaly Blocks ChatGPT, Investigates Suspected ViolationsCointelegraph By Ezra Reguerra2023-03-31 14:08Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research.See full terms here.Italy’s watchdog in charge of protecting data has announced that it’s temporarily blocking the artificial intelligence chatbot ChatGPT and is opening an investigation over suspected breaches of data privacy rules. The data protection agency has ordered the immediate limitation of data processing for Italian users by OpenAI, the United States company behind ChatGPT. The agency highlighted that this was a response to the recent data breach that the AI platform suffered on March 20. We believe the number of users whose data was actually revealed to someone else is extremely low and we have contacted those who might be impacted. We take this very seriously and are sharing details of our investigation and plan here. — OpenAI (@OpenAI) March 24, 2023 In addition, the Italian data watchdog also said that there is a lack of information for users in terms of data collected by OpenAI. Furthermore, the agency noted that there's a lack of legal basis that justifies the mass collection and storage of personal data by the AI as it trained its algorithms. The agency also noted that information given by the AI chatbot doesn't always reflect real data and determined that there may be inaccuracy in terms of processing personal data. Apart from these, the Italian data watchdog also highlighted a potential breach of ChatGPT’s own data protection rules. According to the agency, even though ChatGPT limits its use to only people above 13 years old, there is no filter that verifies the user's age within the application. This means that minors could be exposed to unsuitable answers for their developing minds.Apart from Italy, AI chatbot is also facing heat from other parts of the world. On March 31, the Center for Artificial Intelligence and Digital Policy (CAIDP) filed a complaint against ChatGPT, attempting to stop the release of powerful AI systems to the masses. The CAIDP described the chatbot as a "biased" and "deceptive" platform which is a risk to public safety and privacy.View full text212Related NewsBitcoin Close To $28,000 On March 26Weekly Market Highlights - A New Era for zkEVMsBinance Joins the FIDO Alliance in Preparation for Passkey ImplementationAbout UsAboutPressCareersBusiness ContactsCommunityBinance BlogBuilding TrustLegalTermsPrivacyRisk WarningAnnouncementsNewsNoticesSitemapCookie PreferencesProductsExchangeAcademyBinance LiveCharityCardLabsLaunchpadResearchTrust WalletNFTBinance PayBinance Gift CardBABTServiceDownloadsDesktop ApplicationBuy CryptoInstitutional & VIP ServicesOTC TradingReferralAffiliateBNBListing ApplicationP2P Merchant ApplicationP2Pro Merchant ApplicationHistorical Market DataProof of ReservesSupportRequest a FeatureSupport Center24/7 Chat SupportAPIsFeesTrading RulesBinance VerifyLaw Enforcement RequestsBinance Legal (Court Orders)Binance Airdrop PortalLearnLearn & EarnBrowse Crypto PricesBitcoin PriceEthereum PriceBuy BNBBuy BUSDBuy BitcoinBuy EthereumBuy DogecoinBuy XRPBuy Tradable AltcoinsCommunityBinance © 2023
Italy Blocks ChatGPT, Investigates Suspected Violations
Italy Blocks ChatGPT, Investigates Suspected Violations Binance News ExchangeBlockchain crypto asset exchangeAcademyBlockchain crypto educationLearn EarnEarn free crypto learningCharityPowering blockchain goodCloudEnterprise exchange solutionsDEXFast secure decentralized digital asset exchangeLabsubator blockchain projectsLaunchpadToken Launch PlatformResearchInstitutionalgrade analysis reportsTrust WalletBinances official crypto walletBinance Gift CardCustomizable crypto gift cardBinance LiveBringing blockchain broadcasts liveBABTVerified user credentials Web3 eraDeFi WalletMeet nextgeneration Web3 walletBuy CryptoPay withTradeBinance ConvertThe easiest way tradeSpotTrade crypto advanced toolsMarginrease profits leverageStrategy TradingTrading easy, trade like proP2PBank transfer 100 optionsSwap FarmingSwap earn BNBFan TokenUpgrade fan experienceBinance OTCOTC liquidity execution servicesDerivativesUSDM FuturesPerpetual Quarterly Contracts settled USDT BUSDCOINM FuturesPerpetual Quarterly Contracts settled CryptocurrencyOptionsBuy Sell Europeanstyle Options.Leveraged TokensEnjoy increased leverage risk liquidationLeaderboardExclusive ranking Binance traders, follow traders strategiesBinance Futures OverviewView range cryptoderivative instrumentsFutures MarketsView trends opportunities Futures Markets tradingResponsible TradingLearn practice responsible trading Binance FuturesBlogExpand knowledge latest insights Derivatives TradingVIP PortalVIP Exclusive, Tailormade Institutional Grade ServicesEarnBinance EarnOnestop Investment SolutionLaunchpadToken Launch PlatformSimple EarnEarn daily rewards idle tokensDeFi StakingEasy Access DeFi OpportunitiesBNB VaultEarn Multibenefits BNBDual InvestmentCommit crypto holdings enjoy high returnsLiquidity FarmingAdd liquidity earn doubleAutoInvestnewAccumulate crypto autopilotBinance PoolMine rewards connecting poolETH 2.0One click staking, rewards paid dailyRange BoundnewEarn high rewards market moves sidewaysFinanceBinance CardConvert pay crypto worldwideCrypto LoansGet instant loan secured crypto assetsBinance PaySend spend crypto zero feesBinance Gift CardCustomizable crypto gift cardNFTInstitutionalInstitutional HomePremium digital asset solutions institutionsLinkConnect grow Binance liquidity solutionsAsset Management SolutionsDiscover asset management solutionsVIP PortalOnestop station VIP institutionsCustodySecure digital assets leading infrastructureVIP LoanBespoke institutional loan wide coverageAPIsUnlimited opportunities keyHistorical Market DataYour allinone trading data repositoryExecution OTC ServicesExecution OTC ServicesFeedUSDFlash newscopy linkcreate picturemoreItaly Blocks ChatGPT, Investigates Suspected ViolationsCointelegraph By Ezra Reguerra20230331 14:08Full disclaimer: This platform includes party opinions. We endorse accuracy. Digital asset prices volatile. Do research.See termshere.Italys watchdog charge protecting data announced temporarily blocking artificial intelligence chatbot ChatGPT opening investigation suspected breaches data privacy rules. The data protection agency ordered immediate limitation data processing Italian users OpenAI, United States company ChatGPT. The agency highlighted response recent data breach AI platform suffered March 20. We believe number users data actually revealed extremely low contacted impacted. We seriously sharing details investigation plan here. OpenAI March 24, 2023 In addition, Italian data watchdog said lack information users terms data collected OpenAI. Furthermore, agency noted theres lack legal basis justifies mass collection storage personal data AI trained algorithms. The agency noted information given AI chatbot doesnt reflect real data determined inaccuracy terms processing personal data. Apart these, Italian data watchdog highlighted potential breach ChatGPTs data protection rules. According agency, ChatGPT limits use people 13 years old, filter verifies users age application. This means minors exposed unsuitable answers developing minds.Apart Italy, AI chatbot facing heat parts world. On March 31, Center Artificial Intelligence Digital Policy CAIDP filed complaint ChatGPT, attempting stop release powerful AI systems masses. The CAIDP described chatbot biased deceptive platform risk public safety privacy.View text212Related NewsBitcoin Close To 28,000 On March 26Weekly Market Highlights A New Era zkEVMsBinance Joins FIDO Alliance Preparation Passkey ImplementationAboutPressCareersBusiness sCommunityBinance BlogBuilding TrustLegalTermsPrivacyRisk WarningAnnouncementsNewsNoticesSitemap PreferencesProductsExchangeAcademyBinance LiveCharityCardLabsLaunchpadResearchTrust WalletNFTBinance PayBinance Gift CardBABTServiceDownloadsDesktop ApplicationBuy CryptoInstitutional VIP ServicesOTC TradingReferralAffiliateBNBListing ApplicationP2P Merchant ApplicationP2Pro Merchant ApplicationHistorical Market DataProof ReservesSupportRequest FeatureSupport Center247 Chat SupportAPIsFeesTrading RulesBinance VerifyLaw Enforcement RequestsBinance Legal Court OrdersBinance Airdrop PortalLearnLearn EarnBrowse Crypto PricesBitcoin PriceEthereum PriceBuy BNBBuy BUSDBuy BitcoinBuy EthereumBuy DogecoinBuy XRPBuy Tradable AltcoinsCommunityBinance 2023
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[ "italy", "blocks", "chatgpt", "investigates", "suspected", "violations", "binance", "news", "crypto", "asset", "crypto", "educationlearn", "earnearn", "free", "crypto", "blockchain", "exchange", "secure", "decentralized", "digital", "asset", "blockchain", "launch", "analysis", "reportstrust", "walletbinances", "official", "crypto", "walletbinance", "gift", "crypto", "gift", "cardbinance", "livebringing", "blockchain", "broadcasts", "user", "credentials", "web", "eradefi", "walletmeet", "nextgeneration", "web", "walletbuy", "cryptopay", "convertthe", "easiest", "way", "tradespottrade", "crypto", "advanced", "profits", "tradingtrading", "easy", "trade", "like", "prop", "pbank", "transfer", "optionsswap", "farmingswap", "earn", "bnbfan", "tokenupgrade", "fan", "otcotc", "liquidity", "execution", "quarterly", "contracts", "settled", "usdt", "busdcoinm", "quarterly", "contracts", "settled", "sell", "europeanstyle", "options", "leveraged", "tokensenjoy", "increased", "leverage", "risk", 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"asset", "solutions", "grow", "binance", "liquidity", "solutionsasset", "management", "asset", "management", "solutionsvip", "portalonestop", "station", "vip", "digital", "assets", "leading", "loanbespoke", "institutional", "loan", "wide", "opportunities", "keyhistorical", "market", "datayour", "allinone", "trading", "data", "otc", "otc", "newscopy", "linkcreate", "blocks", "chatgpt", "investigates", "suspected", "ezra", "reguerra", "disclaimer", "platform", "includes", "party", "opinions", "endorse", "accuracy", "digital", "asset", "prices", "volatile", "research", "termshere", "italys", "watchdog", "charge", "protecting", "data", "announced", "temporarily", "blocking", "artificial", "intelligence", "chatbot", "chatgpt", "opening", "investigation", "suspected", "breaches", "data", "privacy", "rules", "data", "protection", "agency", "ordered", "immediate", "limitation", "data", "processing", "italian", "users", "openai", "united", "states", "company", "chatgpt", "agency", "highlighted", "response", "recent", "data", "breach", "ai", "platform", "suffered", "march", "believe", "number", "users", "data", "actually", "revealed", "extremely", "low", "contacted", "impacted", "seriously", "sharing", "details", "investigation", "plan", "openai", "march", "addition", "italian", "data", "watchdog", "said", "lack", "information", "users", "terms", "data", "collected", "openai", "furthermore", "agency", "noted", "theres", "lack", "legal", "basis", "justifies", "mass", "collection", "storage", "personal", "data", "ai", "trained", "algorithms", "agency", "noted", "information", "given", "ai", "chatbot", "doesnt", "reflect", "real", "data", "determined", "inaccuracy", "terms", "processing", "personal", "data", "apart", "italian", "data", "watchdog", "highlighted", "potential", "breach", "chatgpts", "data", "protection", "rules", "according", "agency", "chatgpt", "limits", "use", "people", "years", "old", "filter", "verifies", "users", "age", "application", "means", "minors", "exposed", "unsuitable", "answers", "developing", "minds", "apart", "italy", "ai", "chatbot", "facing", "heat", "parts", "world", "march", "center", "artificial", "intelligence", "digital", "policy", "caidp", "filed", "complaint", "chatgpt", "attempting", "stop", "release", "powerful", "ai", "systems", "masses", "caidp", "described", "chatbot", "biased", "deceptive", "platform", "risk", "public", "safety", "privacy", "view", "text", "related", "newsbitcoin", "close", "march", "weekly", "market", "highlights", "new", "era", "zkevmsbinance", "joins", "fido", "alliance", "preparation", "passkey", "blogbuilding", "paybinance", "gift", "applicationbuy", "vip", "servicesotc", "applicationp", "merchant", "applicationp", "pro", "merchant", "market", "dataproof", "featuresupport", "center", "chat", "rulesbinance", "verifylaw", "enforcement", "requestsbinance", "legal", "court", "ordersbinance", "airdrop", "earnbrowse", "crypto", "pricesbitcoin", "priceethereum", "pricebuy", "bnbbuy", "busdbuy", "bitcoinbuy", "ethereumbuy", "dogecoinbuy", "xrpbuy", "tradable" ]
1
4,184
https://www.binance.com/en/news/flash/7512520
2023-04-19T00:00:00
en
Crypto Protocol Fetch.ai Offering AI Trading Tools for Decentralized Exchanges | Binance News
Crypto Protocol Fetch.ai Offering AI Trading Tools for Decentralized Exchanges | Binance News ExchangeBlockchain and crypto asset exchangeAcademyBlockchain and crypto educationLearn & EarnEarn free crypto through learningCharityPowering blockchain for goodCloudEnterprise exchange solutionsDEXFast and secure decentralized digital asset exchangeLabsIncubator for top blockchain projectsLaunchpadToken Launch PlatformResearchInstitutional-grade analysis and reportsTrust WalletBinance's official crypto walletBinance Gift CardCustomizable crypto gift cardBinance LiveBringing blockchain broadcasts to you liveBABTVerified user credentials for the Web3 eraDeFi WalletMeet the next-generation Web3 walletBuy CryptoPay withMarketsMarkets OverviewOverview of the crypto market with real-time prices and key dataTrading DataView top market movers and price performanceTradeBinance ConvertThe easiest way to tradeSpotTrade crypto with advanced toolsMarginIncrease your profits with leverageStrategy TradingTrading made easy, trade like a proP2PBank transfer and 100+ optionsSwap FarmingSwap to earn BNBFan TokenUpgrade your fan experienceBinance OTCOTC liquidity and execution servicesDerivativesUSDⓈ-M FuturesPerpetual or Quarterly Contracts settled in USDT or BUSDCOIN-M FuturesPerpetual or Quarterly Contracts settled in CryptocurrencyOptionsBuy and Sell European-style Options.Leveraged TokensEnjoy increased leverage without risk of liquidationLeaderboardExclusive ranking for Binance traders, follow top traders' strategiesBinance Futures OverviewView our full range of crypto-derivative instrumentsFutures MarketsView trends and opportunities in the Futures Markets before tradingResponsible TradingLearn how you could practice responsible trading with Binance FuturesBlogExpand your knowledge and get the latest insights in Derivatives TradingVIP PortalVIP Exclusive, Tailor-made Institutional Grade ServicesEarnBinance EarnOne-stop Investment SolutionLaunchpadToken Launch PlatformSimple EarnEarn daily rewards on your idle tokensDeFi StakingEasy Access to DeFi OpportunitiesBNB VaultEarn Multi-benefits with BNBDual InvestmentCommit your crypto holdings and enjoy high returnsLiquidity FarmingAdd liquidity and earn doubleAuto-InvestnewAccumulate crypto on autopilotBinance PoolMine more rewards by connecting to the poolETH 2.0One click staking, rewards paid dailyRange BoundnewEarn high rewards when the market moves sidewaysFinanceBinance CardConvert and pay with crypto worldwideCrypto LoansGet an instant loan secured by crypto assetsBinance PaySend and spend crypto at zero feesBinance Gift CardCustomizable crypto gift cardNFTInstitutionalInstitutional HomePremium digital asset solutions for institutionsLinkConnect and grow with Binance liquidity solutionsAsset Management SolutionsDiscover various asset management solutionsVIP PortalOne-stop station made for VIP and institutionsCustodySecure digital assets with leading infrastructureVIP LoanBespoke institutional loan with wide coverageAPIsUnlimited opportunities with one keyHistorical Market DataYour all-in-one trading data repositoryExecution & OTC ServicesExecution & OTC ServicesFeedUSDFlash newscopy linkcreate picturemoreCrypto Protocol Fetch.ai Offering AI Trading Tools for Decentralized ExchangesCoinDesk by Jamie Crawley2023-04-19 12:00Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.Fetch.ai, which develops artificial intelligence (AI) tools for crypto, is rolling out a set of enhanced trading products for decentralized exchanges (DEX).The Cambridge, U.K.-based firm wants to facilitate peer-to-peer transactions between decentralized finance (DeFi) users using AI-powered "agents" to execute trades based on user-defined parameters, it said Wednesday. It will roll out the suite of trading tools later this quarter."Users submit their orders to an agent, which then puts it in escrow or an atomic transaction while it works out where it can do the order matching," CEO Humayun Sheikh said in an interview. "The ability of the platform to find and create liquidity is where the platform comes into itself, whereby agents work together to create those decentralized order books."The absence of a liquidity pool, the mechanism usually employed by DEXs to facilitate quick and efficient trading, means there is no trove of coins for hackers to target.By focusing on individual agents, Fetch.ai is attempting to overcome the risk that the smart contract at the heart of a DEX is exploited, or that the developer promoting a new project disappears with users' money in what's known as a rug pull. The agents employ their own smart contracts to carry out users' instructions."A hacker would have to hack every single agent. They couldn't just hack the central smart contract because there isn't one," Sheikh said.As of last month, nearly $120 million in crypto had been stolen in 2023 across 19 different breaches, according to analytics firm Crystal Blockchain, with most involving attacks on vulnerabilities in the code and design of decentralized protocols.Not only is this directly damaging to the victims of these thefts, but it is detrimental to the confidence and the potential for further adoption of DeFi, something Fetch.ai is aiming to tackle with its alternative paradigm for how the ecosystem can operate.View full text196Related NewsBitcoin Below $30,000 On April 17Bi-monthly Advanced Technical Report April 17Weekly Market Highlights - The Shapella Upgrade Successfully Goes LiveAbout UsAboutPressCareersBusiness ContactsCommunityBinance BlogBuilding TrustLegalTermsPrivacyRisk WarningAnnouncementsNewsNoticesSitemapCookie PreferencesProductsExchangeAcademyBinance LiveCharityCardLabsLaunchpadResearchTrust WalletNFTBinance PayBinance Gift CardBABTServiceDownloadsDesktop ApplicationBuy CryptoInstitutional & VIP ServicesOTC TradingReferralAffiliateBNBListing ApplicationP2P Merchant ApplicationP2Pro Merchant ApplicationHistorical Market DataProof of ReservesSupportRequest a FeatureSupport Center24/7 Chat SupportAPIsFeesTrading RulesBinance VerifyLaw Enforcement RequestsBinance Legal (Court Orders)Binance Airdrop PortalLearnLearn & EarnBrowse Crypto PricesBitcoin PriceEthereum PriceBuy BNBBuy BUSDBuy BitcoinBuy EthereumBuy DogecoinBuy XRPBuy Tradable AltcoinsCommunityBinance © 2023
Crypto Protocol Fetch.ai Offering AI Trading Tools for Decentralized Exchanges
Crypto Protocol Fetch.ai Offering AI Trading Tools Decentralized Exchanges Binance News ExchangeBlockchain crypto asset exchangeAcademyBlockchain crypto educationLearn EarnEarn free crypto learningCharityPowering blockchain goodCloudEnterprise exchange solutionsDEXFast secure decentralized digital asset exchangeLabsubator blockchain projectsLaunchpadToken Launch PlatformResearchInstitutionalgrade analysis reportsTrust WalletBinances official crypto walletBinance Gift CardCustomizable crypto gift cardBinance LiveBringing blockchain broadcasts liveBABTVerified user credentials Web3 eraDeFi WalletMeet nextgeneration Web3 walletBuy CryptoPay withMarketsMarkets OverviewOverview crypto market realtime prices key dataTrading DataView market movers price performanceTradeBinance ConvertThe easiest way tradeSpotTrade crypto advanced toolsMarginrease profits leverageStrategy TradingTrading easy, trade like proP2PBank transfer 100 optionsSwap FarmingSwap earn BNBFan TokenUpgrade fan experienceBinance OTCOTC liquidity execution servicesDerivativesUSDM FuturesPerpetual Quarterly Contracts settled USDT BUSDCOINM FuturesPerpetual Quarterly Contracts settled CryptocurrencyOptionsBuy Sell Europeanstyle Options.Leveraged TokensEnjoy increased leverage risk liquidationLeaderboardExclusive ranking Binance traders, follow traders strategiesBinance Futures OverviewView range cryptoderivative instrumentsFutures MarketsView trends opportunities Futures Markets tradingResponsible TradingLearn practice responsible trading Binance FuturesBlogExpand knowledge latest insights Derivatives TradingVIP PortalVIP Exclusive, Tailormade Institutional Grade ServicesEarnBinance EarnOnestop Investment SolutionLaunchpadToken Launch PlatformSimple EarnEarn daily rewards idle tokensDeFi StakingEasy Access DeFi OpportunitiesBNB VaultEarn Multibenefits BNBDual InvestmentCommit crypto holdings enjoy high returnsLiquidity FarmingAdd liquidity earn doubleAutoInvestnewAccumulate crypto autopilotBinance PoolMine rewards connecting poolETH 2.0One click staking, rewards paid dailyRange BoundnewEarn high rewards market moves sidewaysFinanceBinance CardConvert pay crypto worldwideCrypto LoansGet instant loan secured crypto assetsBinance PaySend spend crypto zero feesBinance Gift CardCustomizable crypto gift cardNFTInstitutionalInstitutional HomePremium digital asset solutions institutionsLinkConnect grow Binance liquidity solutionsAsset Management SolutionsDiscover asset management solutionsVIP PortalOnestop station VIP institutionsCustodySecure digital assets leading infrastructureVIP LoanBespoke institutional loan wide coverageAPIsUnlimited opportunities keyHistorical Market DataYour allinone trading data repositoryExecution OTC ServicesExecution OTC ServicesFeedUSDFlash newscopy linkcreate picturemoreCrypto Protocol Fetch.ai Offering AI Trading Tools Decentralized ExchangesCoinDesk Jamie Crawley20230419 12:00Full disclaimer: This platform includes party opinions. We endorse accuracy. Digital asset prices volatile. Do research. See termshere.Fetch.ai, develops artificial intelligence AI tools crypto, rolling set enhanced trading products decentralized exchanges DEX.The Cambridge, U.K.based firm wants facilitate peertopeer transactions decentralized finance DeFi users AIpowered agents execute trades based userdefined parameters, said Wednesday. It roll suite trading tools later quarter.Users submit orders agent, puts escrow atomic transaction works order matching, CEO Humayun Sheikh said interview. The ability platform create liquidity platform comes itself, agents work create decentralized order books.The absence liquidity pool, mechanism usually employed DEXs facilitate quick efficient trading, means trove coins hackers target.By focusing individual agents, Fetch.ai attempting overcome risk smart contract heart DEX exploited, developer promoting new project disappears users money whats known rug pull. The agents employ smart contracts carry users instructions.A hacker hack single agent. They hack central smart contract isnt one, Sheikh said.As month, nearly 120 million crypto stolen 2023 19 different breaches, according analytics firm Crystal Blockchain, involving attacks vulnerabilities code design decentralized protocols.Not directly damaging victims thefts, detrimental confidence potential adoption DeFi, Fetch.ai aiming tackle alternative paradigm ecosystem operate.View text196Related NewsBitcoin Below 30,000 On April 17Bimonthly Advanced Technical Report April 17Weekly Market Highlights The Shapella Upgrade Successfully Goes LiveAboutPressCareersBusiness sCommunityBinance BlogBuilding TrustLegalTermsPrivacyRisk WarningAnnouncementsNewsNoticesSitemap PreferencesProductsExchangeAcademyBinance LiveCharityCardLabsLaunchpadResearchTrust WalletNFTBinance PayBinance Gift CardBABTServiceDownloadsDesktop ApplicationBuy CryptoInstitutional VIP ServicesOTC TradingReferralAffiliateBNBListing ApplicationP2P Merchant ApplicationP2Pro Merchant ApplicationHistorical Market DataProof ReservesSupportRequest FeatureSupport Center247 Chat SupportAPIsFeesTrading RulesBinance VerifyLaw Enforcement RequestsBinance Legal Court OrdersBinance Airdrop PortalLearnLearn EarnBrowse Crypto PricesBitcoin PriceEthereum PriceBuy BNBBuy BUSDBuy BitcoinBuy EthereumBuy DogecoinBuy XRPBuy Tradable AltcoinsCommunityBinance 2023
2,023
[ "crypto", "protocol", "fetch", "ai", "offering", "ai", "trading", "tools", "decentralized", "exchanges", "binance", "news", "crypto", "asset", "crypto", "educationlearn", "earnearn", "free", "crypto", "blockchain", "exchange", "secure", "decentralized", "digital", "asset", "blockchain", "launch", "analysis", "reportstrust", "walletbinances", "official", "crypto", "walletbinance", "gift", "crypto", "gift", "cardbinance", "livebringing", "blockchain", "broadcasts", "user", "credentials", "web", "eradefi", "walletmeet", "nextgeneration", "web", "walletbuy", "cryptopay", "crypto", "market", "realtime", "prices", "key", "datatrading", "dataview", "market", "movers", "price", "convertthe", "easiest", "way", "tradespottrade", "crypto", "advanced", "profits", "tradingtrading", "easy", "trade", "like", "prop", "pbank", "transfer", "optionsswap", "farmingswap", "earn", "bnbfan", "tokenupgrade", "fan", "otcotc", "liquidity", "execution", "quarterly", "contracts", "settled", "usdt", "busdcoinm", "quarterly", "contracts", "settled", "sell", "europeanstyle", "options", "leveraged", "tokensenjoy", "increased", "leverage", "risk", "ranking", "binance", "traders", "follow", "traders", "futures", "overviewview", "range", "marketsview", "trends", "opportunities", "futures", "markets", "tradinglearn", "practice", "responsible", "trading", "binance", "knowledge", "latest", "insights", "derivatives", "tradingvip", "portalvip", "exclusive", "tailormade", "institutional", "grade", "earnonestop", "investment", "launch", "platformsimple", "earnearn", "daily", "rewards", "idle", "tokensdefi", "stakingeasy", "access", "defi", "vaultearn", "multibenefits", "bnbdual", "crypto", "holdings", "enjoy", "high", "farmingadd", "liquidity", "earn", "crypto", "poolmine", "rewards", "connecting", "pooleth", "click", "staking", "rewards", "paid", "dailyrange", "boundnewearn", "high", "rewards", "market", "moves", "cardconvert", "pay", "crypto", "worldwidecrypto", "loansget", "instant", "loan", "secured", "crypto", "assetsbinance", "paysend", "spend", "crypto", "zero", "feesbinance", "gift", "crypto", "gift", "homepremium", "digital", "asset", "solutions", "grow", "binance", "liquidity", "solutionsasset", "management", "asset", "management", "solutionsvip", "portalonestop", "station", "vip", "digital", "assets", "leading", "loanbespoke", "institutional", "loan", "wide", "opportunities", "keyhistorical", "market", "datayour", "allinone", "trading", "data", "otc", "otc", "newscopy", "linkcreate", "protocol", "fetch", "ai", "offering", "ai", "trading", "tools", "decentralized", "jamie", "crawley", "disclaimer", "platform", "includes", "party", "opinions", "endorse", "accuracy", "digital", "asset", "prices", "volatile", "research", "termshere", "fetch", "ai", "develops", "artificial", "intelligence", "ai", "tools", "crypto", "rolling", "set", "enhanced", "trading", "products", "decentralized", "exchanges", "dex", "cambridge", "based", "firm", "wants", "facilitate", "peertopeer", "transactions", "decentralized", "finance", "defi", "users", "aipowered", "agents", "execute", "trades", "based", "userdefined", "parameters", "said", "wednesday", "roll", "suite", "trading", "tools", "later", "quarter", "users", "submit", "orders", "agent", "puts", "escrow", "atomic", "transaction", "works", "order", "matching", "ceo", "humayun", "sheikh", "said", "interview", "ability", "platform", "create", "liquidity", "platform", "comes", "agents", "work", "create", "decentralized", "order", "books", "absence", "liquidity", "pool", "mechanism", "usually", "employed", "dexs", "facilitate", "quick", "efficient", "trading", "means", "trove", "coins", "hackers", "target", "focusing", "individual", "agents", "fetch", "ai", "attempting", "overcome", "risk", "smart", "contract", "heart", "dex", "exploited", "developer", "promoting", "new", "project", "disappears", "users", "money", "whats", "known", "rug", "pull", "agents", "employ", "smart", "contracts", "carry", "users", "instructions", "hacker", "hack", "single", "agent", "hack", "central", "smart", "contract", "isnt", "sheikh", "said", "month", "nearly", "million", "crypto", "stolen", "different", "breaches", "according", "analytics", "firm", "crystal", "blockchain", "involving", "attacks", "vulnerabilities", "code", "design", "decentralized", "protocols", "directly", "damaging", "victims", "thefts", "detrimental", "confidence", "potential", "adoption", "defi", "fetch", "ai", "aiming", "tackle", "alternative", "paradigm", "ecosystem", "operate", "view", "text", "related", "newsbitcoin", "april", "bimonthly", "advanced", "technical", "report", "april", "weekly", "market", "highlights", "shapella", "upgrade", "successfully", "goes", "blogbuilding", "paybinance", "gift", "applicationbuy", "vip", "servicesotc", "applicationp", "merchant", "applicationp", "pro", "merchant", "market", "dataproof", "featuresupport", "center", "chat", "rulesbinance", "verifylaw", "enforcement", "requestsbinance", "legal", "court", "ordersbinance", "airdrop", "earnbrowse", "crypto", "pricesbitcoin", "priceethereum", "pricebuy", "bnbbuy", "busdbuy", "bitcoinbuy", "ethereumbuy", "dogecoinbuy", "xrpbuy", "tradable" ]
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https://www.binghamtonhomepage.com/science-and-technology/lawyers-blame-chatgpt-for-tricking-them-into-citing-bogus-case-law/
2023-06-09T00:00:00
en
Lawyers blame ChatGPT for tricking them into citing bogus case law | WIVT - NewsChannel 34
Lawyers blame ChatGPT for tricking them into citing bogus case law | WIVT - NewsChannel 34 Skip to content WIVT - NewsChannel 34 Binghamton 55° Sign Up Binghamton 55° Sponsored By Toggle Menu Open Navigation Close Navigation Search Please enter a search term. 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Science and Technology Lawyers blame ChatGPT for tricking them into citing bogus case law by: LARRY NEUMEISTER, Associated Press Posted: Jun 8, 2023 / 08:20 PM EDT Updated: Jun 8, 2023 / 08:20 PM EDT by: LARRY NEUMEISTER, Associated Press Posted: Jun 8, 2023 / 08:20 PM EDT Updated: Jun 8, 2023 / 08:20 PM EDT SHARE NEW YORK (AP) — Two apologetic lawyers responding to an angry judge blamed ChatGPT Thursday for tricking them into including fictitious legal research in a court filing. Attorneys Steven A. Schwartz and Peter LoDuca are facing possible punishment over a filing in a lawsuit against an airline that included references to past court cases that Schwartz thought were real, but were actually invented by the artificial intelligence-powered chatbot. Schwartz explained that he used the groundbreaking program as he hunted for legal precedents supporting a client’s case against the Colombian airline Avianca for an injury incurred on a 2019 flight. The chatbot, which has fascinated the world with its production of essay-like answers to prompts from users, suggested several cases involving aviation mishaps that Schwartz hadn’t been able to find through usual methods used at his law firm. The problem was, several of those cases weren’t real or involved airlines that didn’t exist. Schwartz told Judge P. Kevin Castel he was “operating under a misconception … that this website was obtaining these cases from some source I did not have access to.” He said he “failed miserably” at doing follow-up research to ensure the citations were correct. “I did not comprehend that ChatGPT could fabricate cases,” Schwartz said. Microsoft has invested some $1 billion in OpenAI, the company behind ChatGPT. Its success, demonstrating how artificial intelligence could change the way humans work and learn, has generated fears from some. Hundreds of industry leaders signed a letter in May that warns “ mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.” Judge Castel seemed both baffled and disturbed at the unusual occurrence and disappointed the lawyers did not act quickly to correct the bogus legal citations when they were first alerted to the problem by Avianca’s lawyers and the court. Avianca pointed out the bogus case law in a March filing. The judge confronted Schwartz with one legal case invented by the computer program. It was initially described as a wrongful death case brought by a woman against an airline only to morph into a legal claim about a man who missed a flight to New York and was forced to incur additional expenses. “Can we agree that’s legal gibberish?” Castel asked. Schwartz said he erroneously thought that the confusing presentation resulted from excerpts being drawn from different parts of the case. When Castel finished his questioning, he asked Schwartz if he had anything else to say. “I would like to sincerely apologize,” Schwartz said. He added that he had suffered personally and professionally as a result of the blunder and felt “embarrassed, humiliated and extremely remorseful.” He said that he and the firm where he worked — Levidow, Levidow & Oberman — had put safeguards in place to ensure nothing similar happens again. LoDuca, another lawyer who worked on the case, said he trusted Schwartz and didn’t adequately review what he had compiled. After the judge read aloud portions of one cited case to show how easily it was to discern that it was “gibberish,” LoDuca said: “It never dawned on me that this was a bogus case.” He said the outcome “pains me to no end.” Ronald Minkoff, an attorney for the law firm, told the judge that the submission “resulted from carelessness, not bad faith” and should not result in sanctions. He said lawyers have historically had a hard time with technology, particularly new technology, “and it’s not getting easier.” “Mr. Schwartz, someone who barely does federal research, chose to use this new technology. He thought he was dealing with a standard search engine,” Minkoff said. “What he was doing was playing with live ammo.” Daniel Shin, an adjunct professor and assistant director of research at the Center for Legal and Court Technology at William & Mary Law School, said he introduced the Avianca case during a conference last week that attracted dozens of participants in person and online from state and federal courts in the U.S., including Manhattan federal court. He said the subject drew shock and befuddlement at the conference. “We’re talking about the Southern District of New York, the federal district that handles big cases, 9/11 to all the big financial crimes,” Shin said. “This was the first documented instance of potential professional misconduct by an attorney using generative AI.” He said the case demonstrated how the lawyers might not have understood how ChatGPT works because it tends to hallucinate, talking about fictional things in a manner that sounds realistic but is not. “It highlights the dangers of using promising AI technologies without knowing the risks,” Shin said. The judge said he’ll rule on sanctions at a later date. Copyright 2023 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed. 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Lawyers blame ChatGPT for tricking them into citing bogus case law
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Science Technology Lawyers blame ChatGPT tricking citing bogus case law by: LARRY NEUMEISTER, Associated Press Posted: Jun 8, 2023 08:20 PM EDT Updated: Jun 8, 2023 08:20 PM EDT by: LARRY NEUMEISTER, Associated Press Posted: Jun 8, 2023 08:20 PM EDT Updated: Jun 8, 2023 08:20 PM EDT SHARE NEW YORK AP Two apologetic lawyers responding angry judge blamed ChatGPT Thursday tricking including fictitious legal research court filing. Attorneys Steven A. Schwartz Peter LoDuca facing possible punishment filing lawsuit airline included references past court cases Schwartz thought real, actually invented artificial intelligencepowered chatbot. Schwartz explained groundbreaking program hunted legal precedents supporting clients case Colombian airline Avianca injury incurred 2019 flight. The chatbot, fascinated world production essaylike answers prompts users, suggested cases involving aviation mishaps Schwartz hadnt able usual methods law firm. The problem was, cases werent real involved airlines didnt exist. Schwartz told Judge P. Kevin Castel operating misconception website obtaining cases source I access to. He said failed miserably followup research ensure citations correct. I comprehend ChatGPT fabricate cases, Schwartz said. Microsoft invested 1 billion OpenAI, company ChatGPT. Its success, demonstrating artificial intelligence change way humans work learn, generated fears some. Hundreds industry leaders signed letter May warns mitigating risk extinction AI global priority alongside societalscale risks pandemics nuclear war. Judge Castel baffled disturbed unusual occurrence disappointed lawyers act quickly correct bogus legal citations alerted problem Aviancas lawyers court. Avianca pointed bogus case law March filing. The judge confronted Schwartz legal case invented program. It initially described wrongful death case brought woman airline morph legal claim man missed flight New York forced incur additional expenses. Can agree thats legal gibberish? Castel asked. Schwartz said erroneously thought confusing presentation resulted excerpts drawn different parts case. When Castel finished questioning, asked Schwartz say. I like sincerely apologize, Schwartz said. He added suffered personally professionally result blunder felt embarrassed, humiliated extremely remorseful. He said firm worked Levidow, Levidow Oberman safeguards place ensure similar happens again. LoDuca, lawyer worked case, said trusted Schwartz didnt adequately review compiled. After judge read aloud portions cited case easily discern gibberish, LoDuca said: It dawned bogus case. He said outcome pains end. Ronald Minkoff, attorney law firm, told judge submission resulted carelessness, bad faith result sanctions. He said lawyers historically hard time technology, particularly new technology, getting easier. Mr. Schwartz, barely federal research, chose use new technology. He thought dealing standard search engine, Minkoff said. What playing live ammo. Daniel Shin, adjunct professor assistant director research Center Legal Court Technology William Mary Law School, said introduced Avianca case conference week attracted dozens participants person online state federal courts U.S., including Manhattan federal court. He said subject drew shock befuddlement conference. Were talking Southern District New York, federal district handles big cases, 911 big financial crimes, Shin said. This documented instance potential professional misconduct attorney generative AI. He said case demonstrated lawyers understood ChatGPT works tends hallucinate, talking fictional things manner sounds realistic not. It highlights dangers promising AI technologies knowing risks, Shin said. The judge said hell rule sanctions later date. 2023 The Associated Press. . This material published, broadcast, rewritten redistributed. 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"news", "weather", "williams", "toyota", "sports", "desk", "local", "business", "contests", "community", "jobs", "fccpublic", "file", "wivt", "fccpublic", "file", "wbgh", "closed", "captions", "eeo", "public", "file", "fccpublic", "file", "wivt", "lc", "fccpublic", "file", "wbghcd", "news", "app", "ios", "app", "android", "app", "google", "play", "stay", "connected", "haystack", "terms", "use", "covers", "fcc", "applications", "public", "file", "assistance", "hill", "newsnation", "bestreviews", "content", "licensing", "nexstar", "digital", "journalistic", "integrity", "sell", "share", "personal", "information", "nexstar", "media" ]
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https://www.bizcommunity.com/Article/196/16/241680.html
2023-09-07T00:00:00
en
Google Africa Internet Academy to focus on AI for Africa
Google Africa Internet Academy to focus on AI for Africa   South Africa Marketing & MediaDigital AllArticlesCompaniesEventsGalleriesJobsPeopleSubscribeRate cardSubmit newsContact My Account Industries All industriesAgricultureAutomotiveConstruction & EngineeringEducationEnergy & MiningEntrepreneurshipESG & SustainabilityFinanceHealthcareHR & ManagementICTLegalLifestyleLogistics & TransportManufacturingMarketing & MediaPropertyRetailTourism & Travel Special SectionsNedbank IMC ConferenceWomen's MonthLoeriesBizTrendsCannes LionsAfrica MonthYouth Month#StartupStory#MEX Music ExchangeMeta Marketing MastermindsPulp Non FictionOrchids and OnionsBiz TakeoutsIAB Bookmarks AwardsSales EnablementCovid-19#LunchtimeMarketingPendoringLet's Talk DigitalMore Sections.. In the newsEnquire about a company Biz Press Office HomeAll Marketing & MediaAgricultureAutomotiveConstruction & EngineeringEducationEnergy & MiningEntrepreneurshipESG & SustainabilityFinanceHealthcareHR & ManagementICTLegalLifestyleLogistics & TransportManufacturingPropertyRetailTourism & TravelInternationalSubmit news HomeAll Marketing & MediaAgricultureAutomotiveConstruction & EngineeringEducationEnergy & MiningEntrepreneurshipESG & SustainabilityFinanceHealthcareHR & ManagementICTLegalLifestyleLogistics & TransportManufacturingPropertyRetailTourism & TravelInternationalSubmit news AgricultureAutomotiveConstruction & EngineeringEducationEnergy & MiningEntrepreneurshipESG & SustainabilityFinanceHealthcareHR & ManagementICTLegalLifestyleLogistics & TransportManufacturingMarketing & MediaPropertyRetailTourism & TravelHomeIndustriesCompaniesJobsEventsPeopleVideoAudioGalleriesMy BizAds & RatesSubmit contentMy Account   Digital News South AfricaNewsPressofficesCompaniesJobsEventsOpinionPeopleMultimediaMy BizNewsCompany newsIn briefsNew appointmentsNew businessNewsletter archiveMost read articlesSubmit newsPress Office NewsPress OfficesPressOffice InfoMy Press OfficeOpen a Biz PressOfficeCompany listingsPress Office companiesMy companyMy saved companiesGet a Biz listingJobs offeredJobs wantedMy saved jobsMy CVRecruitersCompanies recruitingSubmit a job advertRecruitment loginSubmit a jobIndustry eventsWorkshopsOtherCalendarSubmit eventArticlesContributors A-ZContributeFind peoplePeople you may knowInvite peopleEdit my profileVideosAudiosGalleriesSubmit your mediaMy newsfeedMy profileEdit my profileMy CVMy favouritesMy followersFollowing peopleNewsCompany newsIn briefsNew appointmentsNew businessLatest newsletterMost read Subscribe to industry newsletters Most Read 7 days 30 days By Industry KFC delivers first ever order by drone in SANando's and Pick n Pay Clothing collab on Spring/Summer collectionSpur's iconic restaurants are getting a refreshed lookTBWA\SA opens up internship applicationsLuno and Pick n Pay revolutionise grocery paymentsAdidas unveils Manchester United 2023/24 third kitShow moreAdvertise your job ad on BizcommunitySingle job adPrepaid discount packageRecruiter packageSubmit a job ad >>Search jobsAll ProvincesGautengWestern CapeNorth WestMpumalangaKwazulu-NatalFree StateLimpopoEastern CapeNorthern CapeSearch Jobs now >>Top stories Google Africa Internet Academy to focus on AI for Africa#OrchidsandOnions: Chicken Licken and Joe Public deliver a soul fire adBrendan SeeryNewcastle United and Adidas forge multi-year partnershipCMO role integral to the needs of today's businessLoneliness in the digital age: From virtual girlfriends to the Luh Twizzy'sKarabo LedwabaDonovan Goliath talks content creation and hosting the DStv Content Creator AwardsRevealed: the top-ranking media channels and brands in 2023Basa PESP4 call for proposals now openRogerwilco: Responding to the evolution in South Africa's digital marketing landscapeAlex Okosi appointed managing director for Google in AfricaMore...Submit newsMarketing & Media jobs Digital Communication Manager Pretoria Digital Copywriter George Executive Assistant - Digital Marketing Roodepoort Digital Buyer Specialist Johannesburg Junior-Mid Digital and Web Designer Cape Town Graphic Design/Animation Lecturer Durban Head of Web Design and Development Sydney, Australia Customer Service and E-commerce Administrator North Riding Junior Graphic and Web Designer Centurion Senior Digital Strategist Johannesburg More JobsSubmit a jobOpen accountAfricaGoogle Africa Internet Academy to focus on AI for AfricaRevealed: the top-ranking media channels and brands in 2023Newcastle United and Adidas forge multi-year partnershipEntravision and Match Media Group partner across AfricaAchieving world-class African animation through continental cross-collaborationDanette Breitenbach Subscribe to daily business and company news across 19 industries SUBSCRIBE× Google Africa Internet Academy to focus on AI for Africa 7 Sep 2023 | Email | Print |   PDF   The University of Johannesburg's (UJ) Centre for Data and Digital Communication and the Artificial Institute of Intelligence, in collaboration with the UJ Business School (JBS) will host the fifth edition of Google Africa Internet Academy this year.Source: © 123rf 123rf The fifth edition of Google Africa Internet Academy takes place at UJ, from 11 to 12 SeptemberTaking place next week from 11 to 12 September, this annual event on the continent is a two-day workshop that brings together business and technology leaders from across Africa to discuss the latest trends in technology policy and regulation and provide valuable content and opportunities for emerging entrepreneurs and other target groups in technology and related fields.Alex Okosi appointed managing director for Google in Africa1 day agoFocus on AIThis year’s discussions will include Google’s focus on artificial intelligence (AI) and how AI works and what does it do.But most importantly, the workshops will examine what economic opportunities AI presents for the continent to enable current and future generations to live in a more prosperous, healthy, secure and sustainable world. Or conversely, how can the spread of illegal and harmful content with unfair bias and abuse be curbed."The increased focus on artificial intelligence (AI) has fast-tracked the need for conversations between all stakeholders to look at the benefits of AI as well as the policy guardrails to mitigate risks,” says Google SA country director, Dr Alistair Mokoena.Other topics include collection and use of personal information, people’s ability to understand and control how their data is used, as well as the impact of data-driven technologies on people and society.Loneliness in the digital age: From virtual girlfriends to the Luh Twizzy'sBy Karabo Ledwaba 22 hours agoCollaborative initiatives“Our university has been at the cutting edge of technology and has, on many instances, been driving innovative advancements,” says UJ’s Vice-Chancellor and Principal, Professor Letlhokwa Mpedi.“As a leading company in AI, Google’s strategy is closely aligned with UJ’s strategic objective of innovation for societal impact and sustainability. We are thrilled to be hosting the fifth edition of this event, and we hope it will provide valuable insights and opportunities in the field,” adds Mpedi.“The University of Johannesburg’s pioneering work and agility in the fourth industrial revolution (4IR) space makes the institution a valuable partner for collaborative initiatives in this field. The Google Africa Internet Academy is one such collaboration, and we look forward to this event at UJ,” says Mokoena.The first Google Africa Internet Academy was held at Wits University in 2016. Strathmore University in Mauritius and US International University (USIU-Africa) hosted the second and third events in 2017 and 2021, respectively.The fourth was recently held in Kenya in May this year.NextOptions›CategoryMost recentMost readAll industriesMost recentMost readTagsdigitalGoogleUniversity of Johannesburgdigital educationartificial intelligenceUJAILetlhokwa Mpedi   Email  Print PDFRead more: digital, Google, University of Johannesburg, digital education, artificial intelligence, UJ, AI, Letlhokwa Mpedi RelatedLoneliness in the digital age: From virtual girlfriends to the Luh Twizzy's22 hours agoAlex Okosi appointed managing director for Google in Africa1 day agoInvibes AdvertisingHow to protect brand suitability and likeability in the age of AI-generated content1 day agoBybit launches AI-powered education tool for crypto traders: TradeGPT2 days agoRazor PR launches AI governance framework for global PR industry31 Aug 2023The benefits and challenges of appointment-based shopping30 Aug 2023IMM SA 2023 conference focuses on new technologies30 Aug 2023Nvidia is the early winner in the AI gold rush24 Aug 2023 News More industry news News NewsCompany newsIn briefsNew appointmentsNew businessLatest newsletterMost read MyBiz My newsfeedMy profileEdit my profileMy favouritesMy connectionsMy groupsMy followersFollowing people Press offices Press office newsPress officesPress office listingsPress office info Jobs Jobs offeredJobs wantedMy saved jobsMy CVRecruitersCompanies recruitingSubmit a jobRecruitment login Events All eventsIndustry eventsWorkshopsOtherCalendarSubmit event Contributors ArticlesContributors A-Z People Find peoplePeople you may knowInvite peopleEdit my profile Companies Company listingsAssociationsMy companyPress offices Lifestyle Multimedia ImageSubmit gallery Biztakeouts Radio Advertising rates My Account Contact us Let's do Biz
Google Africa Internet Academy to focus on AI for Africa
Google Africa Internet Academy focus AI Africa South Africa Marketing MediaDigital AllArticlesCompaniesEventsGalleriesJobsPeopleRate cardSubmit news My Account Industries All industriesAgricultureAutomotiveConstruction EngineeringEducationEnergy MiningEntrepreneurshipESG SustainabilityFinanceHealthcareHR ManagementICTLegalLifestyleLogistics TransportManufacturingMarketing MediaPropertyRetailTourism Travel Special SectionsNedbank IMC ConferenceWomens MonthLoeriesBizTrendsCannes LionsAfrica MonthYouth MonthStartupStoryMEX Music ExchangeMeta Marketing MastermindsPulp Non FictionOrchids OnionsBiz TakeoutsIAB Bookmarks AwardsSales EnablementCovid19LunchtimeMarketingPendoringLets Talk DigitalMore Sections.. In newsEnquire company Biz Press Office HomeAll Marketing MediaAgricultureAutomotiveConstruction EngineeringEducationEnergy MiningEntrepreneurshipESG SustainabilityFinanceHealthcareHR ManagementICTLegalLifestyleLogistics TransportManufacturingPropertyRetailTourism TravelInternationalSubmit news HomeAll Marketing MediaAgricultureAutomotiveConstruction EngineeringEducationEnergy MiningEntrepreneurshipESG SustainabilityFinanceHealthcareHR ManagementICTLegalLifestyleLogistics TransportManufacturingPropertyRetailTourism TravelInternationalSubmit news AgricultureAutomotiveConstruction EngineeringEducationEnergy MiningEntrepreneurshipESG SustainabilityFinanceHealthcareHR ManagementICTLegalLifestyleLogistics TransportManufacturingMarketing MediaPropertyRetailTourism TravelHomeIndustriesCompaniesJobsEventsPeopleVideoAudioGalleriesMy BizAds RatesSubmit contentMy Account Digital News South AfricaNewsPressofficesCompaniesJobsEventsOpinionPeopleMultimediaMy BizNewsCompany newsIn briefsNew appointmentsNew businessNewsletter archiveMost read articlesSubmit newsPress Office NewsPress OfficesPressOffice InfoMy Press OfficeOpen Biz PressOfficeCompany listingsPress Office companiesMy companyMy saved companiesGet Biz listingJobs offeredJobs wantedMy saved jobsMy CVRecruitersCompanies recruitingSubmit job advertRecruitment loginSubmit jobIndustry eventsWorkshopsOtherCalendarSubmit eventArticlesContributors AZContributeFind peoplePeople knowInvite peopleEdit profileVideosAudiosGalleriesSubmit mediaMy newsfeedMy profileEdit profileMy CVMy favouritesMy followersFollowing peopleNewsCompany newsIn briefsNew appointmentsNew businessLatest newsletterMost read industry newsletters Most Read 7 days 30 days By Industry KFC delivers order drone SANandos Pick n Pay Clothing collab SpringSummer collectionSpurs iconic restaurants getting refreshed lookTBWA\SA opens internship applicationsLuno Pick n Pay revolutionise grocery paymentsAdidas unveils Manchester United 202324 kitShow moreAdvertise job ad BizcommunitySingle job adPrepaid discount packageRecruiter packageSubmit job ad >> jobsAll ProvincesGautengWestern CapeNorth WestMpumalangaKwazuluNatalFree StateLimpopoEastern CapeNorthern Cape Jobs >>Top stories Google Africa Internet Academy focus AI AfricaOrchidsandOnions: Chicken Licken Joe Public deliver soul adBrendan SeeryNewcastle United Adidas forge multiyear partnershipCMO role integral needs todays businessLoneliness digital age: From virtual girlfriends Luh TwizzysKarabo LedwabaDonovan Goliath talks content creation hosting DStv Content Creator AwardsRevealed: topranking media channels brands 2023Basa PESP4 proposals openRogerwilco: Responding evolution South Africas digital marketing landscapeAlex Okosi appointed managing director Google AfricaMore...Submit newsMarketing Media jobs Digital Communication Manager Pretoria Digital Copywriter George Executive Assistant Digital Marketing Roodepoort Digital Buyer Specialist Johannesburg JuniorMid Digital Web Designer Cape Town Graphic DesignAnimation Lecturer Durban Head Web Design Development Sydney, Australia Customer Service Ecommerce Administrator North Riding Junior Graphic Web Designer Centurion Senior Digital Strategist Johannesburg More JobsSubmit jobOpen accountAfricaGoogle Africa Internet Academy focus AI AfricaRevealed: topranking media channels brands 2023Newcastle United Adidas forge multiyear partnershipEntravision Match Media Group partner AfricaAchieving worldclass African animation continental crosscollaborationDanette Breitenbach daily business company news 19 industries SUBSCRIBE Google Africa Internet Academy focus AI Africa 7 Sep 2023EmailPrint PDF The University Johannesburgs UJ Centre Data Digital Communication Artificial Institute Intelligence, collaboration UJ Business School JBS host fifth edition Google Africa Internet Academy year.Source: 123rf 123rf The fifth edition Google Africa Internet Academy takes place UJ, 11 12 SeptemberTaking place week 11 12 September, annual event continent twoday workshop brings business technology leaders Africa discuss latest trends technology policy regulation provide valuable content opportunities emerging entrepreneurs target groups technology related fields.Alex Okosi appointed managing director Google Africa1 day agoFocus AIThis years discussions include Googles focus artificial intelligence AI AI works do.But importantly, workshops examine economic opportunities AI presents continent enable current future generations live prosperous, healthy, secure sustainable world. Or conversely, spread illegal harmful content unfair bias abuse curbed.The increased focus artificial intelligence AI fasttracked need conversations stakeholders look benefits AI policy guardrails mitigate risks, says Google SA country director, Dr Alistair Mokoena.Other topics include collection use personal information, peoples ability understand control data used, impact datadriven technologies people society.Loneliness digital age: From virtual girlfriends Luh TwizzysBy Karabo Ledwaba 22 hours agoCollaborative initiativesOur university cutting edge technology has, instances, driving innovative advancements, says UJs ViceChancellor Principal, Professor Letlhokwa Mpedi.As leading company AI, Googles strategy closely aligned UJs strategic objective innovation societal impact sustainability. We thrilled hosting fifth edition event, hope provide valuable insights opportunities field, adds Mpedi.The University Johannesburgs pioneering work agility fourth industrial revolution 4IR space makes institution valuable partner collaborative initiatives field. The Google Africa Internet Academy collaboration, look forward event UJ, says Mokoena.The Google Africa Internet Academy held Wits University 2016. Strathmore University Mauritius US International University USIUAfrica hosted second events 2017 2021, respectively.The fourth recently held Kenya May year.NextOptionsCategoryMost recentMost readAll industriesMost recentMost readTagsdigitalGoogleUniversity Johannesburgdigital educationartificial intelligenceUJAILetlhokwa Mpedi Email PrintPDFRead more:digital, Google, University Johannesburg, digital education, artificial intelligence, UJ, AI, Letlhokwa Mpedi RelatedLoneliness digital age: From virtual girlfriends Luh Twizzys22 hours agoAlex Okosi appointed managing director Google Africa1 day agoInvibes AdvertisingHow protect brand suitability likeability age AIgenerated content1 day agoBybit launches AIpowered education tool crypto traders: TradeGPT2 days agoRazor PR launches AI governance framework global PR industry31 Aug 2023The benefits challenges appointmentbased shopping30 Aug 2023IMM SA 2023 conference focuses new technologies30 Aug 2023Nvidia early winner AI gold rush24 Aug 2023 News More industry news News NewsCompany newsIn briefsNew appointmentsNew businessLatest newsletterMost read MyBiz My newsfeedMy profileEdit profileMy favouritesMy connectionsMy groupsMy followersFollowing people Press offices Press office newsPress officesPress office listingsPress office info Jobs Jobs offeredJobs wantedMy saved jobsMy CVRecruitersCompanies recruitingSubmit jobRecruitment login Events All eventsIndustry eventsWorkshopsOtherCalendarSubmit event Contributors ArticlesContributors AZ People Find peoplePeople knowInvite peopleEdit profile Companies Company listingsAssociationsMy companyPress offices Lifestyle Multimedia ImageSubmit gallery Biztakeouts Radio Advertising rates My Account Lets Biz
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"peoplepeople", "knowinvite", "peopleedit", "mediamy", "newsfeedmy", "profileedit", "profilemy", "cvmy", "favouritesmy", "newsin", "briefsnew", "appointmentsnew", "businesslatest", "newslettermost", "read", "industry", "newsletters", "read", "days", "days", "industry", "kfc", "delivers", "order", "drone", "sanandos", "pick", "pay", "clothing", "collab", "springsummer", "collectionspurs", "iconic", "restaurants", "getting", "refreshed", "looktbwa", "sa", "opens", "internship", "pick", "pay", "revolutionise", "grocery", "paymentsadidas", "unveils", "manchester", "united", "kitshow", "moreadvertise", "job", "ad", "job", "adprepaid", "discount", "packagesubmit", "job", "ad", "jobsall", "capenorth", "capenorthern", "cape", "jobs", "stories", "google", "africa", "internet", "academy", "focus", "ai", "chicken", "licken", "joe", "public", "deliver", "soul", "adbrendan", "seerynewcastle", "united", "adidas", "forge", "multiyear", "partnershipcmo", "role", "integral", "needs", "todays", "digital", "age", "virtual", "girlfriends", "luh", "twizzyskarabo", "ledwabadonovan", "goliath", "talks", "content", "creation", "hosting", "dstv", "content", "creator", "awardsrevealed", "topranking", "media", "channels", "brands", "basa", "pesp", "proposals", "openrogerwilco", "responding", "evolution", "south", "africas", "digital", "marketing", "landscapealex", "okosi", "appointed", "managing", "director", "google", "africamore", "submit", "newsmarketing", "media", "jobs", "digital", "communication", "manager", "pretoria", "digital", "copywriter", "george", "executive", "assistant", "digital", "marketing", "roodepoort", "digital", "buyer", "specialist", "johannesburg", "juniormid", "digital", "web", "designer", "cape", "town", "graphic", "designanimation", "lecturer", "durban", "head", "web", "design", "development", "sydney", "australia", "customer", "service", "ecommerce", "administrator", "north", "riding", "junior", "graphic", "web", "designer", "centurion", "senior", "digital", "strategist", "johannesburg", "jobssubmit", "jobopen", "africa", "internet", "academy", "focus", "ai", "africarevealed", "topranking", "media", "channels", "brands", "newcastle", "united", "adidas", "forge", "multiyear", "match", "media", "group", "partner", "africaachieving", "worldclass", "african", "animation", "continental", "breitenbach", "daily", "business", "company", "news", "industries", "subscribe", "google", "africa", "internet", "academy", "focus", "ai", "africa", "sep", "emailprint", "pdf", "university", "johannesburgs", "uj", "centre", "data", "digital", "communication", "artificial", "institute", "intelligence", "collaboration", "uj", "business", "school", "jbs", "host", "fifth", "edition", "google", "africa", "internet", "academy", "year", "source", "rf", "rf", "fifth", "edition", "google", "africa", "internet", "academy", "takes", "place", "uj", "septembertaking", "place", "week", "september", "annual", "event", "continent", "twoday", "workshop", "brings", "business", "technology", "leaders", "africa", "discuss", "latest", "trends", "technology", "policy", "regulation", "provide", "valuable", "content", "opportunities", "emerging", "entrepreneurs", "target", "groups", "technology", "related", "fields", "alex", "okosi", "appointed", "managing", "director", "google", "africa", "day", "agofocus", "aithis", "years", "discussions", "include", "googles", "focus", "artificial", "intelligence", "ai", "ai", "works", "importantly", "workshops", "examine", "economic", "opportunities", "ai", "presents", "continent", "enable", "current", "future", "generations", "live", "prosperous", "healthy", "secure", "sustainable", "world", "conversely", "spread", "illegal", "harmful", "content", "unfair", "bias", "abuse", "curbed", "increased", "focus", "artificial", "intelligence", "ai", "fasttracked", "need", "conversations", "stakeholders", "look", "benefits", "ai", "policy", "guardrails", "mitigate", "risks", "says", "google", "sa", "country", "director", "dr", "alistair", "mokoena", "topics", "include", "collection", "use", "personal", "information", "peoples", "ability", "understand", "control", "data", "impact", "datadriven", "technologies", "people", "society", "loneliness", "digital", "age", "virtual", "girlfriends", "luh", "twizzysby", "karabo", "ledwaba", "hours", "initiativesour", "university", "cutting", "edge", "technology", "instances", "driving", "innovative", "advancements", "says", "ujs", "vicechancellor", "principal", "professor", "letlhokwa", "mpedi", "leading", "company", "ai", "googles", "strategy", "closely", "aligned", "ujs", "strategic", "objective", "innovation", "societal", "impact", "sustainability", "thrilled", "hosting", "fifth", "edition", "event", "hope", "provide", "valuable", "insights", "opportunities", "field", "adds", "mpedi", "university", "johannesburgs", "pioneering", "work", "agility", "fourth", "industrial", "revolution", "ir", "space", "makes", "institution", "valuable", "partner", "collaborative", "initiatives", "field", "google", "africa", "internet", "academy", "collaboration", "look", "forward", "event", "uj", "says", "mokoena", "google", "africa", "internet", "academy", "held", "wits", "university", "strathmore", "university", "mauritius", "international", "university", "usiuafrica", "hosted", "second", "events", "respectively", "fourth", "recently", "held", "kenya", "year", "recentmost", "readall", "industriesmost", "recentmost", "mpedi", "email", "printpdfread", "digital", "google", "university", "johannesburg", "digital", "education", "artificial", "intelligence", "uj", "ai", "letlhokwa", "mpedi", "digital", "age", "virtual", "girlfriends", "luh", "twizzys", "hours", "agoalex", "okosi", "appointed", "managing", "director", "google", "africa", "day", "agoinvibes", "advertisinghow", "protect", "brand", "suitability", "likeability", "age", "aigenerated", "content", "day", "agobybit", "launches", "aipowered", "education", "tool", "crypto", "traders", "tradegpt", "days", "agorazor", "pr", "launches", "ai", "governance", "framework", "global", "pr", "industry", "aug", "benefits", "challenges", "shopping", "aug", "imm", "sa", "conference", "focuses", "new", "technologies", "aug", "nvidia", "early", "winner", "ai", "gold", "rush", "aug", "news", "industry", "news", "news", "newscompany", "newsin", "briefsnew", "appointmentsnew", "businesslatest", "newslettermost", "read", "mybiz", "newsfeedmy", "profileedit", "profilemy", "favouritesmy", "connectionsmy", "groupsmy", "people", "press", "offices", "press", "office", "newspress", "officespress", "office", "listingspress", "office", "info", "jobs", "jobs", "offeredjobs", "wantedmy", "saved", "jobsmy", "jobrecruitment", "login", "events", "eventsindustry", "event", "contributors", "az", "people", "peoplepeople", "knowinvite", "peopleedit", "profile", "companies", "company", "companypress", "offices", "lifestyle", "multimedia", "imagesubmit", "gallery", "biztakeouts", "radio", "advertising", "rates", "account", "lets", "biz" ]
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https://www.blackhillsfox.com/prnewswire/2021/11/12/trustnfts-community-together-with-ai-empower-nft-backed-loans/
2021-11-12T00:00:00
en
TrustNFT's Community Together with AI to Empower NFT Backed Loans
TrustNFT's Community Together with AI to Empower NFT Backed Loans Skip to contentNewsLocalWeatherEric's 60 Second KitchenPigskin Preview 2021Live StreamingPhotosSearchHomeLive StreamingLivestream 2NewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealth/MedicalLaw EnforcementLocalMedicalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenContestsSportsCommunity CalendarContact UsMeet the TeamStation JobsPhotosSubmit a StoryProgramming ScheduleCOVID-19 MapNewsletterSupport Local BusinessesFull Court Press with Greta Van SusterenCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationLatest NewscastsPress ReleasesTrustNFT's Community Together with AI to Empower NFT Backed LoansPublished: Nov. 12, 2021 at 9:29 AM MST|Updated: 30 minutes agoVILNIUS, Lithuania, Nov. 12, 2021 /PRNewswire/ -- One of the most important driving factors behind any decentralized protocol is its community, and that includes developers, validators, token holders, and other stakeholders that contribute to the project's success in any way possible.TrustNFT's Community Together with AI to Empower NFT Backed Loans (PRNewsfoto/TrustNFT)In this regard, TrustNFT is made up of a community of people who share the same interest, one that ultimately aims to ensure that the protocol achieves its set goals and objectives.To that end, community members have a variety of expectations for what they would like to see adopted, especially if there is potential for it to have a significant and beneficial impact on the network.More so, these sets of people have their own respective roles to play, both in the network's governance, and in ensuring that the day to day operations run smoothly and efficiently.Vismantas Motiejunas, the CEO and co-founder of TrustNFT, explained about the typical role that their community members will play in the project, as well as their other expectations. According to him the community within the TrustNFT protocol will participate in the voting system as a decentralized autonomous organization (DAO)."The community will have a vote, and that is because we want to build the system together with all stakeholders involved. The community will be engaged in deciding on the need for the specific features. We value active communication with our community - doing AMA sessions and delivering weekly updates of what has been done every week. Working together, the best solutions could be found and implemented" Motiejunas explained.Consequently, holders of the TrustNFT token will be able to vote on different features and parameters of the platform and even marketing strategy. To empower the TrustNFT community, the platform will allow holders to propose and vote on governance questions to determine the future and features of the TrustNFT platform. Voting weight will be calculated in proportion to the tokens owned.The protocol can also generate data from blockchain data and voting activities during this process and subsequently passes this on to the AI system, which then uses the data to oracle the price efficiently.TrustNFT Is Targeting Millennials and the Younger GenerationIn addition to being community-centric, TrustNFT wants to deliver a user-friendly solution to its target audience which, according to Motiejunas, largely consists of millennials and the younger generations.Motiejunas noted that, at the moment, that millennials want to trade and participate in crypto, as well as leverage their positions from non-liquid to liquid assets, but to do so without losing their assets by the end of the day. These attributes, according to Motiejunas, is what makes them a perfect fit for the project.As for the project itself, Motiejunas wants users to have less necessary interaction with the system, while being able to use it more securely."Our product's slogan will be - few clicks to NFT backed loans. With just a few clicks, you'll have the price and will get a loan. As little interaction as possible, yet as secure as possible to discover the golden middle ground between complexity and simplicity," Motiejunas enthused.Ultimately, TrustNFT wants to facilitate users' ability to generate profit without losing their assets, all by bringing simplicity to the trading and lending of NFTs.Photo - https://mma.prnewswire.com/media/1687252/TrustNFTs_Community_Together_with_AI.jpgView original content to download multimedia:https://www.prnewswire.com/news-releases/trustnfts-community-together-with-ai-to-empower-nft-backed-loans-301423175.htmlSOURCE TrustNFTThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherPhotosSportsLive StreamingContact UsCOVID-19 MapNewsletterSupport Local BusinessesKEVN2001 Skyline DriveRapid City, SD 57709(605) 394-7777Public Inspection FileFCC [email protected] - (605) 394-7777Terms of ServicePrivacy PolicyEEO StatementAdvertisingA Gray Media Group, Inc. Station - © 2002-2021 Gray Television, Inc.
TrustNFT's Community Together with AI to Empower NFT Backed Loans
TrustNFTs Community Together AI Empower NFT Backed Loans Skip contentNewsLocalWeatherErics 60 Second KitchenPigskin Preview 2021Live StreamingPhotosHomeLive StreamingLivestream 2NewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealthMedicalLaw EnforcementLocalMedicalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenContestsSportsCommunity Calendar UsMeet TeamStation JobsPhotosSubmit StoryProgramming ScheduleCOVID19 MapNewsletterSupport Local BusinessesFull Court Press Greta Van SusterenCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationLatest NewscastsPress ReleasesTrustNFTs Community Together AI Empower NFT Backed LoansPublished: Nov. 12, 2021 9:29 AM MSTUpdated: 30 minutes agoVILNIUS, Lithuania, Nov. 12, 2021 PRNewswire One important driving factors decentralized protocol community, includes developers, validators, token holders, stakeholders contribute projects success way possible.TrustNFTs Community Together AI Empower NFT Backed Loans PRNewsfotoTrustNFTIn regard, TrustNFT community people share interest, ultimately aims ensure protocol achieves set goals objectives.To end, community members variety expectations like adopted, especially potential significant beneficial impact network.More so, sets people respective roles play, networks governance, ensuring day day operations run smoothly efficiently.Vismantas Motiejunas, CEO cofounder TrustNFT, explained typical role community members play project, expectations. According community TrustNFT protocol participate voting decentralized autonomous organization DAO.The community vote, want build stakeholders involved. The community engaged deciding need specific features. We value active communication community AMA sessions delivering weekly updates week.Working together, best solutions implementedMotiejunas explained.Consequently,holders TrustNFT token able vote different features parameters platform marketing strategy. To empower TrustNFT community, platform allow holders propose vote governance questions determine future features TrustNFT platform. Voting weight calculated proportion tokens owned.The protocol generate data blockchain data voting activities process subsequently passes AI system, uses data oracle price efficiently.TrustNFT Is Targeting Millennials Younger GenerationIn addition communitycentric, TrustNFT wants deliver userfriendly solution target audience which, according Motiejunas, largely consists millennials younger generations.Motiejunas notedthat, moment, millennials want trade participate crypto, leverage positions nonliquid liquid assets, losing assets end day. These attributes, according Motiejunas, makes perfect fit project.As project itself, Motiejunas wants users necessary interaction system, able use securely.Our products slogan clicks NFT backed loans. With clicks, youll price loan. As little interaction possible, secure possible discover golden middle ground complexity simplicity,Motiejunas enthused.Ultimately, TrustNFT wants facilitate users ability generate profit losing assets, bringing simplicity trading lending NFTs.Photo original content download multimedia: TrustNFTThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherPhotosSportsLive Streaming UsCOVID19 MapNewsletterSupport Local BusinessesKEVN2001 Skyline DriveRapid City, SD 57709605 3947777Public Inspection FileFCC Applicationspublicfile 605 3947777EEO StatementAdvertisingA Gray Media Group, . Station 20022021 Gray Television, .
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https://www.blackhillsfox.com/prnewswire/2021/11/16/lundquist-institute-investigator-is-lead-author-jama-open-network-publication-that-positively-evaluates-eyeart-ai-system-prevent-diabetic-vision-loss/
2021-11-16T00:00:00
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Lundquist Institute Investigator is Lead Author on a JAMA Open Network Publication that Positively Evaluates EyeArt AI System to Prevent Diabetic Vision Loss
Lundquist Institute Investigator is Lead Author on a JAMA Open Network Publication that Positively Evaluates EyeArt AI System to Prevent Diabetic Vision Loss Skip to contentNewsLocalWeatherEric's 60 Second KitchenPigskin Preview 2021Live StreamingPhotosSearchHomeLive StreamingLivestream 2NewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealth/MedicalLaw EnforcementLocalMedicalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenContestsSportsCommunity CalendarContact UsMeet the TeamStation JobsPhotosSubmit a StoryProgramming ScheduleCOVID-19 MapNewsletterSupport Local BusinessesFull Court Press with Greta Van SusterenCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationLatest NewscastsPress ReleasesLundquist Institute Investigator is Lead Author on a JAMA Open Network Publication that Positively Evaluates EyeArt AI System to Prevent Diabetic Vision LossThe study examines performance of the EyeArt AI system for detecting eyes with more than mild diabetic retinopathy (mtmDR) and vision-threatening diabetic retinopathy (vtDR)Published: Nov. 16, 2021 at 2:11 PM MST|Updated: 1 hours agoLOS ANGELES, Nov. 16, 2021 /PRNewswire/ -- The Lundquist Institute's Investigator Eli Ipp, MD, and a multi-center team of investigators have evaluated the performance of the EyeArt AI system in a study published in JAMA Open Network. Dr. Ipp and his co-investigators found that the accuracy of the EyeArt AI system was high in detecting mtmDR (sensitivity 96% and specificity 88%) and vtDR (sensitivity 97% and specificity 90%). The study demonstrates the ability of the EyeArt system to accurately detect mtmDR and vtDR without physician oversight or the need for dilation in most individuals, thus facilitating diabetic eye exams at non-specialist facilities and enabling accelerated referral of vision-threatening diabetic retinopathy. This is the first AI-based system that identifies vtDR, the most serious form of DR that puts patients at highest risk of blindness. The strong results from the EyeArt prospective, multicenter pivotal clinical trial (NCT03112005) were published as an original investigation in JAMA Network Open, a peer-reviewed medical journal published by the American Medical Association. The article is titled "Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-threatening Diabetic Retinopathy."Over four hundred million people around the world have diabetes and approximately one-third of them may develop diabetic retinopathy, which is the leading cause of vision loss among working-age adults in most countries," said Eli Ipp, M.D., Investigator at The Lundquist Institute, Professor of Medicine, David Geffen School of Medicine at UCLA, Head of the Section of Diabetes and Metabolism at Harbor-UCLA Medical Center, and the first author of the EyeArt publication on JAMA Network Open. "By simplifying and improving the efficiency of diabetes retinal screening, the EyeArt technology has the potential to contribute to saving vision for millions of people around the world. The EyeArt pivotal trial was well designed and executed, and we are gratified that it is now published by JAMA Network Open."The EyeArt® AI System was developed by Eyenuk, Inc. with funding from the U.S. National Institutes of Health (NIH) and is validated by the U.K. National Health Service (NHS).Contact for The Lundquist Institute: Max Benavidez [email protected] 310-200-2682View original content:https://www.prnewswire.com/news-releases/lundquist-institute-investigator-is-lead-author-on-a-jama-open-network-publication-that-positively-evaluates-eyeart-ai-system-to-prevent-diabetic-vision-loss-301426027.htmlSOURCE The Lundquist InstituteThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherPhotosSportsLive StreamingContact UsCOVID-19 MapNewsletterSupport Local BusinessesKEVN2001 Skyline DriveRapid City, SD 57709(605) 394-7777Public Inspection FileFCC [email protected] - (605) 394-7777Terms of ServicePrivacy PolicyEEO StatementAdvertisingA Gray Media Group, Inc. Station - © 2002-2021 Gray Television, Inc.
Lundquist Institute Investigator is Lead Author on a JAMA Open Network Publication that Positively Evaluates EyeArt AI System to Prevent Diabetic Vision Loss
Lundquist Institute Investigator Lead Author JAMA Open Network Publication Positively Evaluates EyeArt AI System Prevent Diabetic Vision Loss Skip contentNewsLocalWeatherErics 60 Second KitchenPigskin Preview 2021Live StreamingPhotosHomeLive StreamingLivestream 2NewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealthMedicalLaw EnforcementLocalMedicalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenContestsSportsCommunity Calendar UsMeet TeamStation JobsPhotosSubmit StoryProgramming ScheduleCOVID19 MapNewsletterSupport Local BusinessesFull Court Press Greta Van SusterenCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationLatest NewscastsPress ReleasesLundquist Institute Investigator Lead Author JAMA Open Network Publication Positively Evaluates EyeArt AI System Prevent Diabetic Vision LossThe study examines performance EyeArt AI detecting eyes mild diabetic retinopathy mtmDR visionthreatening diabetic retinopathy vtDRPublished: Nov. 16, 2021 2:11 PM MSTUpdated: 1 hours agoLOS ANGELES, Nov. 16, 2021 PRNewswire The Lundquist Institutes Investigator Eli Ipp, MD, multicenter team investigators evaluated performance EyeArt AI study published JAMA Open Network. Dr. Ipp coinvestigators accuracy EyeArt AI high detecting mtmDR sensitivity 96 specificity 88 vtDR sensitivity 97 specificity 90. The study demonstrates ability EyeArt accurately detect mtmDR vtDR physician oversight need dilation individuals, facilitating diabetic eye exams nonspecialist facilities enabling accelerated referral visionthreatening diabetic retinopathy.This AIbased identifies vtDR, form DR puts patients highest risk blindness. The strong results EyeArt prospective, multicenter pivotal clinical trial NCT03112005 published original investigation JAMA Network Open, peerreviewed medical journal published American Medical Association. The article titled Pivotal Evaluation Artificial Intelligence System Autonomous Detection Referrable Visionthreatening Diabetic Retinopathy.Over million people world diabetes approximately onethird develop diabetic retinopathy, leading cause vision loss workingage adults countries, said Eli Ipp, M.D., Investigator The Lundquist Institute, Professor Medicine, David Geffen School Medicine UCLA, Head Section Diabetes Metabolism HarborUCLA Medical Center, author EyeArt publication JAMA Network Open. By simplifying improving efficiency diabetes retinal screening, EyeArt technology potential contribute saving vision millions people world. The EyeArt pivotal trial designed executed, gratified published JAMA Network Open.The EyeArtAI System developed Eyenuk, .with funding U.S. National Institutes Health NIH validated U.K. National Health Service NHS. The Lundquist Institute:Max Benavidez max.benavidez3102002682View original content: The Lundquist InstituteThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherPhotosSportsLive Streaming UsCOVID19 MapNewsletterSupport Local BusinessesKEVN2001 Skyline DriveRapid City, SD 57709605 3947777Public Inspection FileFCC Applicationspublicfile 605 3947777EEO StatementAdvertisingA Gray Media Group, . Station 20022021 Gray Television, .
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https://www.blackhillsfox.com/prnewswire/2023/01/17/sapiaais-new-research-reinforces-its-ethical-use-ai-chat-based-candidate-screening/
2023-01-17T00:00:00
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Sapia.ai's new research reinforces its ethical use of AI in chat-based candidate screening
Sapia.ai's new research reinforces its ethical use of AI in chat-based candidate screening Skip to contentClosingsNewsLocalWeatherSportsRising Star of the WestLive StreamingPhotosHomeElection ResultsLive StreamingNewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealthLaw EnforcementLocalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherDownload Our Weather AppClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenMixology at HomePoliticsContestsSportsCommunity CalendarContact UsMeet the TeamStation JobsPhotosSubmit a StoryProgramming ScheduleCOVID-19 MapNewsletterSupport Local BusinessesCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationLatest NewscastsPress ReleasesSapia.ai's new research reinforces its ethical use of AI in chat-based candidate screeningPublished: Jan. 17, 2023 at 1:55 PM MST|Updated: 2 hours agoMELBOURNE, Australia, Jan. 17, 2023 /PRNewswire/ -- Sapia.ai, creator of the world's first AI Smart Interviewer, will be presenting four groundbreaking research reports at the Annual Conference of the Society for Industrial and Organizational Psychology (SIOP), to be held in April, 2023.Conducted by the Sapia Labs team, the research studies explore several frontiers on the use of artificial intelligence for scoring text chat based structured interviews in the candidate selection process.More specifically, the research highlights how advances in natural language processing (NLP) can be used in building an interview experience that mitigates bias, improves candidate experience while further improving the fairness and ethical use of AI with novel approaches in plagiarism and outlier answer detection.The papers accepted to be presented are as follows:Disability Hiring: Reducing Bias and Improving the Experience for Candidates with DisabilitiesIdentifying and Mitigating Ethnicity Bias in Structured Interview ResponsesPlagiarism Detection and Prevalence in Online Text-Based Structured InterviewsQuestion-Aware Outlier Answer Detection for Fairer AI Scoring of InterviewsThe first two papers demonstrate how both Sapia's asynchronous, untimed, text-based delivery mechanism, and its use of AI-derived feature scores, can help to reduce bias based on disability status and ethnicity.The latter two papers explore two types of adversarial inputs, including innovative approaches for detecting and flagging plagiarized and atypical, non-question relevant responses. All of these papers have important implications for improving the ethical use of AI.Sapia Chief Data Scientist Dr. Buddhi Jayatilleke said that the new research will further solidify Sapia as a leader in ethical AI for recruitment."While the world has been captivated by the power of ChatGPT, Sapia.ai has made significant advances in responsible and ethical use of language based AI in recruitment in the past several years. As foundational large language models like GPT3 become a commodity, Sapia.ai is well placed to extend those advances to chat based interviews with its unique conversational dataset and innovations in responsible AI," Buddhi said."The research we are presenting in this year's SIOP conference is a real testament to Sapia's commitment to world-class research and thought leadership in this space."The reports will be presented during the 38th Annual SIOP Annual Conference in Boston, USA.This is the second consecutive time that Sapia research is being presented at the Annual SIOP conference. In 2022, the Sapia Labs team presented Mitigating Gender Bias in Structured Interview Responses, research which showed that language data from structured interviews can be used to score candidates while mitigating gender biases.Sapia's ongoing research and development initiatives will serve to advance its market-leading Smart Interviewer, a text-based chat interview platform that leverages Natural Language Processing (NLP) to analyse candidate responses and build skill and personality profiles for the purposes of accurate, efficient hiring.About Sapia Sapia's mission is to help companies unlock and engage talent at scale. With its blind, automated chat interview and comprehensive DEI analytics platform, Sapia's technology is the first solution of its kind to disrupt biases that affects traditional recruitment processes – resulting in fair outcomes for candidates and companies.Media contact:Sapia.ai CEO Barb Hyman email: [email protected] Chief Data Scientist Buddhi Jayatilleke email: [email protected] original content:https://www.prnewswire.com/news-releases/sapiaais-new-research-reinforces-its-ethical-use-of-ai-in-chat-based-candidate-screening-301723891.htmlSOURCE Sapia.aiThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherPhotosSportsLive StreamingContact UsCOVID-19 MapNewsletterSupport Local BusinessesKEVN2001 Skyline DriveRapid City, SD 57709(605) 394-7777Public Inspection FileFCC [email protected] - (605) 394-7777Closed Captioning/Audio DescriptionTerms of ServicePrivacy PolicyEEO StatementAdvertisingA Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
Sapia.ai's new research reinforces its ethical use of AI in chat-based candidate screening
Sapia.ais new research reinforces ethical use AI chatbased candidate screening Skip contentClosingsNewsLocalWeatherSportsRising Star WestLive StreamingPhotosHomeElection ResultsLive StreamingNewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealthLaw EnforcementLocalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherDownload Our Weather AppClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenMixology HomePoliticsContestsSportsCommunity Calendar UsMeet TeamStation JobsPhotosSubmit StoryProgramming ScheduleCOVID19 MapNewsletterSupport Local BusinessesCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationLatest NewscastsPress ReleasesSapia.ais new research reinforces ethical use AI chatbased candidate screeningPublished: Jan. 17, 2023 1:55 PM MSTUpdated: 2 hours agoMELBOURNE, Australia, Jan. 17, 2023 PRNewswire Sapia.ai, creator worlds AI Smart Interviewer, presenting groundbreaking research reports Annual Conference Society Industrial Organizational Psychology SIOP, held April, 2023.Conducted Sapia Labs team, research studies explore frontiers use artificial intelligence scoring text chat based structured interviews candidate selection process.More specifically, research highlights advances natural language processing NLP building interview experience mitigates bias, improves candidate experience improving fairness ethical use AI novel approaches plagiarism outlier answer detection.The papers accepted presented follows:Disability Hiring: Reducing Bias Improving Experience Candidates DisabilitiesIdentifying Mitigating Ethnicity Bias Structured Interview ResponsesPlagiarism Detection Prevalence Online TextBased Structured InterviewsQuestionAware Outlier Answer Detection Fairer AI Scoring InterviewsThe papers demonstrate Sapias asynchronous, untimed, textbased delivery mechanism, use AIderived feature scores, help reduce bias based disability status ethnicity.The papers explore types adversarial inputs, including innovative approaches detecting flagging plagiarized atypical, nonquestion relevant responses. All papers important implications improving ethical use AI.Sapia Chief Data Scientist Dr. Buddhi Jayatilleke said new research solidify Sapia leader ethical AI recruitment.While world captivated power ChatGPT, Sapia.ai significant advances responsible ethical use language based AI recruitment past years. As foundational large language models like GPT3 commodity, Sapia.ai placed extend advances chat based interviews unique conversational dataset innovations responsible AI, Buddhi said.The research presenting years SIOP conference real testament Sapias commitment worldclass research thought leadership space.The reports presented 38th Annual SIOP Annual Conference Boston, USA.This second consecutive time Sapia research presented Annual SIOP conference. In 2022, Sapia Labs team presented Mitigating Gender Bias Structured Interview Responses, research showed language data structured interviews score candidates mitigating gender biases.Sapias ongoing research development initiatives serve advance marketleading Smart Interviewer, textbased chat interview platform leverages Natural Language Processing NLP analyse candidate responses build skill personality profiles purposes accurate, efficient hiring.About Sapia Sapias mission help companies unlock engage talent scale. With blind, automated chat interview comprehensive DEI analytics platform, Sapias technology solution kind disrupt biases affects traditional recruitment processes resulting fair outcomes candidates companies.Media contact:Sapia.ai CEO Barb Hyman email: barb Chief Data Scientist Buddhi Jayatilleke email: buddhi original content: Sapia.aiThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherPhotosSportsLive Streaming UsCOVID19 MapNewsletterSupport Local BusinessesKEVN2001 Skyline DriveRapid City, SD 57709605 3947777Public Inspection FileFCC Applicationspublicfile 605 3947777Closed CaptioningAudio DescriptionEEO StatementAdvertisingA Gray Media Group, . Station 20022023 Gray Television, .
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https://www.blackhillsfox.com/prnewswire/2023/09/07/humanfirst-launches-new-enterprise-platform-accelerate-adoption-precision-measures-artificial-intelligence-clinical-research/
2023-09-07T00:00:00
en
HumanFirst Launches New Enterprise Platform to Accelerate Adoption of Precision Measures and Artificial Intelligence in Clinical Research
HumanFirst Launches New Enterprise Platform to Accelerate Adoption of Precision Measures and Artificial Intelligence in Clinical Research Skip to contentNewsLive StreamingLocalWeatherClosingsSportsRising Star of the West60 Second KitchenPhotosDigital AdvertisingHomeElection ResultsLive StreamingNewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealthLaw EnforcementLocalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherDownload Our Weather AppClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenMixology at HomePoliticsContestsSportsPigskin PreviewStats & PredictionsHow to WatchCommunity CalendarContact UsMeet the TeamStation JobsPhotosSubmit a StoryDigital AdvertisingProgramming ScheduleCOVID-19 MapNewsletterSupport Local BusinessesCircle - Country Music & LifestyleGray DC BureauInvestigateTVPowerNationLatest NewscastsPress ReleasesHumanFirst Launches New Enterprise Platform to Accelerate Adoption of Precision Measures and Artificial Intelligence in Clinical ResearchPublished: Sep. 7, 2023 at 9:00 AM MDT|Updated: 2 hours agoHumanFirst's new solution aligns AI-powered biomarkers and clinical outcome assessments (COAs) across one platform to drive scientific progress, R&D efficiencies, and patient-centered researchSAN FRANCISCO, Sept. 7, 2023 /PRNewswire/ -- HumanFirst, a cloud-based software company accelerating patient-centered drug development through AI-powered insights, today announced the launch of the industry's first-of-its-kind precision measures platform. HumanFirst's platform enables pharma and biotechs to reliably incorporate patient-centric measures and validated technologies into clinical research.(PRNewsfoto/HumanFirst)(PRNewswire)With life science organizations under pressure to increase R&D efficiency and participant diversity, AI-powered biomarkers and COAs are poised to revolutionize drug development. Recent regulatory support for AI-powered measures and sensor-derived primary endpoints from the Food and Drug Administration and the EMA has rapidly accelerated biopharma's investment in AI strategies, with the potential for huge patient impact.To address this critical need, HumanFirst has evolved its longstanding Atlas platform – previously the most comprehensive data map for evidence-backed digital health technologies (DHTs) used in clinical research – to a cloud-based enterprise platform for precision measures spanning DHTs, questionnaires, blood and fluid-based markers, and imaging.Life science organizations seeking to accelerate drug development by investing in AI can now partner with HumanFirst to access:Atlas Network: The most comprehensive evidence platform for precision measures. Curating more than 7,500+ pieces of evidence, including 1,700 clinical trials by hundreds of sponsors, Atlas allows teams to select, collaborate on and deploy the right measures from its database of 15,000+ digital measures, and thousands of DHTs, questionnaires, and blood and fluid-based markers.Atlas Connect: Private and secure workflow solution for organizations to manage their own proprietary research data and work collaboratively across their teams, accelerating protocol developmentAtlas Insights: AI-powered insights, analysis, and curated evidence to enable differentiated asset and portfolio strategiesHumanFirst Institute: Purposefully crafted to educate and empower research teams on best practices to unlock the benefits of precision measures and AI in clinical trials. The Institute equips teams with the essential knowledge, training and network needed to deploy an effective precision measurement strategy to bring better, patient-centered treatments to market, faster"We at HumanFirst have been, and continue to be, the single largest database of AI-powered biomarkers and COAs, with our data that tracks research from more than 850 sponsors. As navigating AI has become an imperative for all of pharma, I'm excited that with today's announcement, HumanFirst now offers a solution for the entire enterprise to reduce costs, accelerate development, and bring better treatments to market faster," said Andy Coravos, co-founder and CEO of HumanFirst.To see life sciences organizations' return on investment of working with HumanFirst, visit https://www.gohumanfirst.com/lp/roi-case-study.About HumanFirst HumanFirst is a cloud-based technology company for life sciences. The Atlas platform by HumanFirst provides comprehensive insights on AI-powered biomarkers and COAs, spanning multi-modal technologies, including connected sensor-derived DHTs, questionnaires, blood and fluid markers, and imaging to accelerate drug development.HumanFirst's solutions reduce costs and de-risk trial portfolios by:Accelerating the time to deploy in a trial by aggregating and curating evidence to enable faster decisions on protocol designIncreasing likelihood of submission approval with better data and comprehensive evidence and insightsPrioritizing patient-centered research by helping measure what matters to patientsTo date, HumanFirst curates more than 15,000 digital measures and biomarkers captured from more than 3,100 digital health technologies deployed across 1,700 clinical trials. Each measure is associated with robust evidence from 7,500+ peer reviewed publications, research papers and conference abstracts. Customer results with HumanFirst include up to 12 months' acceleration to trial deployment leading to millions in cost savings.HumanFirst's solutions have been used by leading academic medical institutions such as Harvard and Stanford, and by 24 out of 25 of the world's largest pharmaceutical companies to unlock evidence-based precision measures that bring better treatments to market, faster.Visit www.gohumanfirst.com to learn how you can Be First with HumanFirst.Media Contact: [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/humanfirst-launches-new-enterprise-platform-to-accelerate-adoption-of-precision-measures-and-artificial-intelligence-in-clinical-research-301919994.htmlSOURCE HumanFirstThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherPhotosSportsLive StreamingContact UsCOVID-19 MapNewsletterSupport Local BusinessesKEVN2001 Skyline DriveRapid City, SD 57701(605) 394-7777Public Inspection FileFCC [email protected] - (605) 394-7777Closed Captioning/Audio DescriptionTerms of ServicePrivacy PolicyEEO StatementAdvertisingDigital AdvertisingAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
HumanFirst Launches New Enterprise Platform to Accelerate Adoption of Precision Measures and Artificial Intelligence in Clinical Research
HumanFirst Launches New Enterprise Platform Accelerate Adoption Precision Measures Artificial Intelligence Clinical Research Skip contentNewsLive StreamingLocalWeatherClosingsSportsRising Star West60 Second KitchenPhotosDigital AdvertisingHomeElection ResultsLive StreamingNewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealthLaw EnforcementLocalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherDownload Our Weather AppClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenMixology HomePoliticsContestsSportsPigskin PreviewStats PredictionsHow WatchCommunity Calendar UsMeet TeamStation JobsPhotosSubmit StoryDigital AdvertisingProgramming ScheduleCOVID19 MapNewsletterSupport Local BusinessesCircle Country Music LifestyleGray DC BureauInvestigateTVPowerNationLatest NewscastsPress ReleasesHumanFirst Launches New Enterprise Platform Accelerate Adoption Precision Measures Artificial Intelligence Clinical ResearchPublished: Sep. 7, 2023 9:00 AM MDTUpdated: 2 hours agoHumanFirsts new solution aligns AIpowered biomarkers clinical outcome assessments COAs platform drive scientific progress, RD efficiencies, patientcentered researchSAN FRANCISCO, Sept. 7, 2023 PRNewswire HumanFirst, cloudbased software company accelerating patientcentered drug development AIpowered insights, today announced launch industrysfirstofitskind precision measures platform. HumanFirsts platform enables pharma biotechs reliably incorporate patientcentric measures validated technologies clinical research.PRNewsfotoHumanFirstPRNewswireWith life science organizations pressure increase RD efficiency participant diversity, AIpowered biomarkers COAs poised revolutionize drug development. Recent regulatory support AIpowered measures sensorderived primary endpoints Food Drug Administration EMA rapidly accelerated biopharmas investment AI strategies, potential huge patient impact.To address critical need,HumanFirst evolved longstanding Atlas platform previously comprehensive data map evidencebacked digital health technologies DHTs clinical research cloudbased enterprise platform precision measures spanning DHTs, questionnaires, blood fluidbased markers, imaging.Life science organizations seeking accelerate drug development investing AI partner HumanFirst access:Atlas Network:The comprehensive evidence platform precision measures. Curating 7,500 pieces evidence, including 1,700 clinical trials hundreds sponsors, Atlas allows teams select, collaborate deploy right measures database 15,000 digital measures, thousands DHTs, questionnaires, blood fluidbased markers.Atlas Connect:Private secure workflow solution organizations manage proprietary research data work collaboratively teams, accelerating protocol developmentAtlas Insights: AIpowered insights, analysis, curated evidence enable differentiated asset portfolio strategiesHumanFirst Institute:Purposefully crafted educate empower research teams best practices unlock benefits precision measures AI clinical trials. The Institute equips teams essential knowledge, training network needed deploy effective precision measurement strategy bring better, patientcentered treatments market, fasterWe HumanFirst been, continue be, single largest database AIpowered biomarkers COAs, data tracks research 850 sponsors. As navigating AI imperative pharma, Im excited todays announcement, HumanFirst offers solution entire enterprise reduce costs, accelerate development, bring better treatments market faster, said Andy Coravos, cofounder CEO HumanFirst.To life sciences organizations return investment working HumanFirst, visit HumanFirst HumanFirst cloudbased technology company life sciences. The Atlas platform HumanFirst provides comprehensive insights AIpowered biomarkers COAs, spanning multimodal technologies, including connected sensorderived DHTs, questionnaires, blood fluid markers, imaging accelerate drug development.HumanFirsts solutions reduce costs derisk trial portfolios by:Accelerating time deploy trial aggregating andcurating evidence enable faster decisions protocol designreasing likelihood submission approval better data comprehensive evidence insightsPrioritizing patientcentered research helping measure matters patientsTo date, HumanFirst curates 15,000 digital measures biomarkers captured 3,100 digital health technologies deployed 1,700 clinical trials. Each measure associated robust evidence 7,500 peer reviewed publications, research papers conference abstracts. Customer results withHumanFirst include 12 months acceleration trial deployment leading millions cost savings.HumanFirsts solutions leading academic medical institutions Harvard Stanford, 24 25 worlds largest pharmaceutical companies unlock evidencebased precision measures bring better treatments market, faster.Visit learn Be First HumanFirst.Media : press original content download multimedia: HumanFirstThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherPhotosSportsLive Streaming UsCOVID19 MapNewsletterSupport Local BusinessesKEVN2001 Skyline DriveRapid City, SD 57701605 3947777Public Inspection FileFCC Applicationspublicfile 605 3947777Closed CaptioningAudio DescriptionEEO StatementAdvertisingDigital AdvertisingAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, .
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"cloudbased", "enterprise", "platform", "precision", "measures", "spanning", "dhts", "questionnaires", "blood", "fluidbased", "markers", "imaging", "life", "science", "organizations", "seeking", "accelerate", "drug", "development", "investing", "ai", "partner", "humanfirst", "access", "atlas", "network", "comprehensive", "evidence", "platform", "precision", "measures", "curating", "pieces", "evidence", "including", "clinical", "trials", "hundreds", "sponsors", "atlas", "allows", "teams", "select", "collaborate", "deploy", "right", "measures", "database", "digital", "measures", "thousands", "dhts", "questionnaires", "blood", "fluidbased", "markers", "atlas", "connect", "private", "secure", "workflow", "solution", "organizations", "manage", "proprietary", "research", "data", "work", "collaboratively", "teams", "accelerating", "protocol", "insights", "aipowered", "insights", "analysis", "curated", "evidence", "enable", "differentiated", "asset", "portfolio", "institute", "purposefully", "crafted", "educate", "empower", "research", "teams", "best", "practices", "unlock", "benefits", "precision", "measures", "ai", "clinical", "trials", "institute", "equips", "teams", "essential", "knowledge", "training", "network", "needed", "deploy", "effective", "precision", "measurement", "strategy", "bring", "better", "patientcentered", "treatments", "market", "fasterwe", "humanfirst", "continue", "single", "largest", "database", "aipowered", "biomarkers", "coas", "data", "tracks", "research", "sponsors", "navigating", "ai", "imperative", "pharma", "im", "excited", "todays", "announcement", "humanfirst", "offers", "solution", "entire", "enterprise", "reduce", "costs", "accelerate", "development", "bring", "better", "treatments", "market", "faster", "said", "andy", "coravos", "cofounder", "ceo", "humanfirst", "life", "sciences", "organizations", "return", "investment", "working", "humanfirst", "visit", "humanfirst", "humanfirst", "cloudbased", "technology", "company", "life", "sciences", "atlas", "platform", "humanfirst", "provides", "comprehensive", "insights", "aipowered", "biomarkers", "coas", "spanning", "multimodal", "technologies", "including", "connected", "sensorderived", "dhts", "questionnaires", "blood", "fluid", "markers", "imaging", "accelerate", "drug", "development", "humanfirsts", "solutions", "reduce", "costs", "derisk", "trial", "portfolios", "accelerating", "time", "deploy", "trial", "aggregating", "andcurating", "evidence", "enable", "faster", "decisions", "protocol", "designreasing", "likelihood", "submission", "approval", "better", "data", "comprehensive", "evidence", "patientcentered", "research", "helping", "measure", "matters", "patientsto", "date", "humanfirst", "curates", "digital", "measures", "biomarkers", "captured", "digital", "health", "technologies", "deployed", "clinical", "trials", "measure", "associated", "robust", "evidence", "peer", "reviewed", "publications", "research", "papers", "conference", "abstracts", "customer", "results", "withhumanfirst", "include", "months", "acceleration", "trial", "deployment", "leading", "millions", "cost", "savings", "humanfirsts", "solutions", "leading", "academic", "medical", "institutions", "harvard", "stanford", "worlds", "largest", "pharmaceutical", "companies", "unlock", "evidencebased", "precision", "measures", "bring", "better", "treatments", "market", "faster", "visit", "learn", "humanfirst", "media", "press", "original", "content", "download", "multimedia", "humanfirstthe", "press", "release", "provided", "courtesy", "prnewswire", "views", "opinions", "statements", "press", "release", "endorsed", "gray", "media", "group", "necessarily", "state", "reflect", "gray", "media", "group", "streaming", "uscovid", "local", "businesseskevn", "skyline", "driverapid", "city", "sd", "public", "inspection", "filefcc", "closed", "captioningaudio", "descriptioneeo", "advertisingat", "gray", "journalists", "report", "write", "edit", "produce", "news", "content", "informs", "communities", "serve", "click", "learn", "approach", "artificial", "intelligence", "gray", "media", "group", "station", "gray", "television" ]
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https://www.bnnbloomberg.ca/bnn-bloomberg/canada-unveils-code-of-conduct-for-responsible-ai-development-1.1977106
2023-09-28T00:00:00
en
Canada unveils code of conduct for responsible AI development - BNN Bloomberg
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Young Canadians flocking to First Home Savings Accounts, banks say Spending on fun isn’t impossible — it’s just hard, experts say Majority of parents worry about their kid's financial future: Survey Bank of Canada delivers growth and security to retirement portfolios What to consider before budgeting with the cash-stuffing method Northwest Territories to increase minimum wage by nearly 5.6 per cent WonderFi interim CEO on possible changes now that crypto merger is finalized Real Estate News Video REITs Copper, Iron Ore Slip on Hawkish Fed, Slow Demand Before Holiday Asia Stocks to Fall, Treasury Yields Extend Rise: Markets Wrap Tycoon-Turned Thai Prime Minister Srettha Foregoes His Salary for Charity Evergrande Suspends Trading in Hong Kong, Along With Units Hong Kong Finance Chief Hints at Easing Property Market Curbs Australian Retail Sales Cool, Boosting Case to Extend Rate Pause Harlan Crow, Oil Executives to Host Nikki Haley Fundraisers in Texas London Price Cuts Boost UK Home Discounts to Highest Since 2019 Paulson’s Ex-Business Partner Adds JPMorgan to Fraud Lawsuit Weary China Traders Look to Golden Week for Buying Opportunities Souring Global Office Bets Raise Risk of Korean Liquidity Crunch China Sovereign Debt Sales Surge to Test PBOC Liquidity Support QIC Explores Sale of CampusParc, Owner of Ohio State University Parking Lease  Tax-Free Texas Will Welcome ‘Fed Up’ Chicago Firms, Abbott Says Lippmann of `Big Short' Fame Is Building Portfolios Resilient to High Rates European Stocks Slide to Six-Month Low on Interest Rates Worry Eleven Madison Park Will Never Serve Meat Again, Says Daniel Humm Trump’s Business Empire at Risk of Dissolution After New York Ruling Average Home Loan Payments Rose 46% Last Year, CFPB Report Finds New York Mega Mall Has Muni Bond Rating Slashed Deeper Into Junk Company News News Video TikTok’s E-Commerce Ambitions Stall as Global Backlash Grows Bank of China Sees Yuan Emerging as Global Financing Currency Singapore Plans S$1.1 Billion Aid to Blunt Cost-of-Living Copper, Iron Ore Slip on Hawkish Fed, Slow Demand Before Holiday Yelp Sues Texas Preemptively Over Pregnancy Center Notices Asia Stocks to Fall, Treasury Yields Extend Rise: Markets Wrap Poland’s Row With Ukraine Risks Business Ties, InPost CEO Says Apple’s iPhone Cedes Ground to Google’s Pixel in Japan UBS Takes Lead in $50 Billion Bond Market Left by Credit Suisse Republican Candidates Criticize Biden’s Handling of UAW Strike at Debate Toyota Global Sales Hit Record High in August, Along With Output One Investor’s Uphill Battle to Turn Rewilding Into a Multi-Billion Dollar Industry Taiwan Unveils First Domestic Submarine to Fend Off China Vedanta Ltd. Is Preparing to De-Merge Sprawling Operations McDonald’s Resists EU Push to Mandate Reusable Packaging Abcam Founder Launches Grab for Votes to Block $5.7 Billion Deal NATO Turns to Underwater Drones and AI in Bid to Deter Russia Chinese and Russian Aluminum Groups Sign Deal to Deepen Ties Tycoon-Turned Thai Prime Minister Srettha Foregoes His Salary for Charity Evergrande Suspends Trading in Hong Kong, Along With Units Commodities News Show Guests CANNABIS Oil Gold Silver Singapore Plans S$1.1 Billion Aid to Blunt Cost-of-Living Copper, Iron Ore Slip on Hawkish Fed, Slow Demand Before Holiday Oil Rally Gets Fresh Impetus From Shrinking Stockpiles at US Hub Asia Stocks to Fall, Treasury Yields Extend Rise: Markets Wrap Poland’s Row With Ukraine Risks Business Ties, InPost CEO Says Toyota Global Sales Hit Record High in August, Along With Output Czechs Start Easing Debate With Timing of Rate Cuts Unclear One Investor’s Uphill Battle to Turn Rewilding Into a Multi-Billion Dollar Industry Vedanta Ltd. Is Preparing to De-Merge Sprawling Operations Chinese and Russian Aluminum Groups Sign Deal to Deepen Ties The 15 Best Restaurants in Toronto, According to Michelin Peru Grapples With Red Tape That’s Burying Giant Copper Projects US IPO Market’s Green Shoots Get the 2024 Party Started Early Kim Makes ‘Exponential’ Nuclear Growth Supreme Law to Defy US China’s Ailing Pork Demand Another Sign of Economic Distress Harlan Crow, Oil Executives to Host Nikki Haley Fundraisers in Texas Bank of America Says 5% 10-Year Yield Requires Sentiment Boost UK Risks Power Supply Crunch in January as Nuclear Plants Halt Rare Court Challenge Disrupts Mexican Parade of Stock Delistings Brazil’s Senate Curbs Tribal Land Rights, Overriding Supreme Court Economics News Video The Daily Chase: Cannabis industry watching U.S. Senate vote Bank of Canada hikes likely won’t continue into 2024: expert The Daily Chase: Trans Mountain route change approved Wage wins could inspire more labour action: RBC report Unifor contract talks with General Motors begin after workers ratify Ford deal ​Longer mortgage amortizations put cash-strapped homeowners on a treadmill The Daily Chase: Ford deal ratified; Tentative deal for Hollywood writers ​Farmland will be a valuable investment amid climate change: expert The Daily Chase: Retail sales gains in July; Stelco weighing U.S. Steel bid Canada retail sales drop 0.3% in sign of consumer slowdown Alberta to debate Canada Pension Plan, says it deserves half of fund if it leaves Inflation data makes another rate hike more likely: Macquarie economist Carbon tax, trade barriers: experts on how to reduce food costs Aging, high living costs prompt small business owners to sell ​Central banks can't cure inflation amid high gas prices: economist The Daily Chase: India tensions ramp up; Markets react to rate decisions India suspends visas, Canada pulls diplomats amid tensions U.S. Federal Reserve holds rates, but signals possible hike to come Bank of Canada deliberations show complexity of rate decisions: economist 'Another rate hike is now in the picture': Reaction to August CPI Politics News Video Burkina Faso Junta Reasserts Control After Thwarted Coup Attempt Yelp Sues Texas Preemptively Over Pregnancy Center Notices Republican Candidates Criticize Biden’s Handling of UAW Strike at Debate Lula, Brazil Central Bank Chief Agree to Improve Dialogue McDonald’s Resists EU Push to Mandate Reusable Packaging NATO Turns to Underwater Drones and AI in Bid to Deter Russia Tycoon-Turned Thai Prime Minister Srettha Foregoes His Salary for Charity A Last-Minute Deal Averting Government Shutdown Is Unlikely  TikTok Ad Woos Republicans Watching Fox as Debaters Flay China DeSantis Vows a ‘Hard Power’ Approach Toward China in Republican Debate China’s Defense Minister Skips First Event Since Graft Reports GOP Presidential Hopefuls Blame Trump, Biden for Busting Budget Trump Skips Republican Debate to Woo Blue-Collar Workers in Detroit More Aggressive Marcos in South China Sea Puts Pressure on US Kim Makes ‘Exponential’ Nuclear Growth Supreme Law to Defy US Harlan Crow, Oil Executives to Host Nikki Haley Fundraisers in Texas Trump Judge Refuses His Request to Oust Her From Election Case Brazil’s Senate Curbs Tribal Land Rights, Overriding Supreme Court Mexico Supreme Court Debate on Electricity Reform Postponed PGA Tour Considers US Investors to Quell LIV Golf Deal Worries Technology News Video TikTok’s E-Commerce Ambitions Stall as Global Backlash Grows Yelp Sues Texas Preemptively Over Pregnancy Center Notices Asia Stocks to Fall, Treasury Yields Extend Rise: Markets Wrap Apple’s iPhone Cedes Ground to Google’s Pixel in Japan NATO Turns to Underwater Drones and AI in Bid to Deter Russia TikTok Ad Woos Republicans Watching Fox as Debaters Flay China Crypto Exchange Gemini Pulled Funds From Crypto Lender Genesis Months Before Bankruptcy Filing Australian Treasurer Says RBA Revamp Criticism ‘Bizarre,’ Wrong Credit Card Spending Surges to Record in India in Sign of Stress TikTok’s E-Commerce Ambitions Dealt Blow as Indonesia Adds Curbs Kim Makes ‘Exponential’ Nuclear Growth Supreme Law to Defy US Apple iPhone 15 Pro Users Complain That Device Can Get Too Hot Google Judge Told Android Contracts Blocked Upstart Search App PlayStation Boss Jim Ryan Is Retiring From Sony in March Micron Predicts Worse Loss Than Expected for Current Quarter Google DeepMind Alum Raises $14 Million for New AI Venture Firm Palantir Wins $250 Million AI Deal With US Defense Department Google, Meta and Apple Set to Win US Approval for Virtual Reality Devices HVAC Maker Johnson Controls Hit by Hack That Disrupted Parts of Its Operations Blackstone to Fund $3 Billion HealthComp-Virgin Pulse Merger Opinion News Alphabet investors shouldn't ignore the warning signs: Martin Peers The U.S. Fed is failing in four ways: Mohamed A. El-Erian Apple, JPMorgan turn to pay now grow later Remote Working Boom Is Huge for College Towns Like Knoxville Walmart flashes a warning sign to the entire consumer economy: Andrea Felsted Millennials are finally spending like grown-ups Dismal U.S. GDP report raises the odds of recession this year: Gary Shilling Musk is wrong for Twitter even if deal math works out Chocolate bunnies can teach us to save our food supply The Fed has made a U.S. recession inevitable America's oil reserve weapon risks misfiring Four-day workweeks can burn you out U.S. Fed expects a soft landing. Don't count on it Markets are pushing Fed into developing-economy territory Commodity traders go from bonanza to bailout plea Putin's war shows West must clean up dirty money Salary transparency is good for everyone Microsoft's US$69B Activision deal could be a blunder What if the oil market bulls are wrong and this lonely bear is right? Canada's trucker protest may spread from Ottawa to U.S. ETFs News Video Berman's Call Asia Stocks to Fall, Treasury Yields Extend Rise: Markets Wrap Bitcoin's Refuge Appeal Being Touted Again With Shutdown Prospects Rising Crypto Exchange Kraken Plans to Offer Trading in US-Listed Stocks Wall Street-Backed Options Exchange Kicks Off Amid Peak Volumes With ESG Under Siege, Neuberger Backs Active Stock-Picking SEC Once Again Defers Decision on ARK 21Shares Spot Bitcoin ETF Filing This Is the ‘Perfect’ Time to Buy Value Stocks on Sticky Inflation, Rob Arnott Says Emerging-Market ETF Traders Flee China as Property Angst Builds Traders Piling Into Floating-Rate ETFs Are Warned Best Days Are Over Long-Treasury ETF Plunges Record 48% as Market Meltdown Worsens All of Schwab’s Bond ETFs Now Cost Just Three Basis Points Short Sellers Mount Attack on ESG Stocks Bloated From Green Hype European Crypto Asset Manager CoinShares Starts US Hedge Fund Division Vanguard Plans Its First New Actively Managed ETFs in Two Years Wall Street Selloff Across Assets Rattles Risk-Parity Quants Everything Selloff Snowballs While Traders Adjust to Fed’s Reality BlackRock, State Street Among Money Managers Closing ESG Funds SEC to Impose New Rules for Labeling Popular Investment Funds Cathie Wood Sees Revival of Thematic Investing When Fed Cuts Rates Only Fund Beating Nasdaq Long-Term Is Defying Stock-Picking Odds Business of Sports Television deals, ratings generate record-setting NFL revenue Playing for global basketball and sponsorship glory Awareness still at disadvantage in decades-long battle for tennis pay equity FanDuel, Rivalry deliver something new for betting customers Corporations considering Canadian cricket Women’s Tennis Is More Unpredictable — And Fun — Than Ever Going Into US Open Curling Canada announces Montana’s as new sponsor of Brier Difficult conversations regarding hockey's 'toxic masculinity' continue at summit Suspended Spanish soccer federation president Rubiales resigns after kiss scandal at World Cup MLB makes strides in attracting younger fans, ticket buyers in growing the game Pegula appoints himself Sabres president, dissolves parent company Royals unveil proposed ballpark, entertainment district plans for two locations NHL eyeing 2025 best-on-best tournament, set international play schedule Canadian clubs talk 'Messi effect' as superstar grabs headlines More... International Market Call Schedule Listen Live Video Shows Market Call Markets More Live Video Shows Market Call Markets BANK OF CANADA INFLATION INTEREST RATES REAL ESTATE CANNABIS OIL GOLD NEWSLETTERS TOP PICKS Technology News Video Article News Video More News Video Latest Videos {{ currentStream.Name }} Related Video Up Next Now Showing {{ video.Name }} Continuous Play: ON OFF The information you requested is not available at this time, please check back again soon. More Video Technology 13h ago Canada unveils code of conduct for responsible AI development Jordan Fleguel, BNN Bloomberg It’s almost like the spirit of the earlier tech waves is upon us again only AI-focused: Bruce Croxon VIDEO SIGN OUT Up Next Now Showing {{ video.Duration | time }} Canada’s minister of innovation, science and economic development is laying out new guidelines for makers of generative artificial intelligence (AI) systems. On Wednesday, François-Philippe Champagne announced details of a voluntary code of conduct for the AI industry that aims to mitigate the potential risks posed by the technology. The code, which the government said was effective immediately, identifies a number of measures that companies are encouraged to apply to their operations when developing and managing AI systems. REGULATIONS PENDING The code was developed as a “critical bridge” before specific AI-regulating legislation is passed, according to the minister’s office. The federal Liberals introduced the Artificial Intelligence and Data Act (AIDA) as part of Bill C-27 in June 2022, but it is still being considered by the House of Commons. “Advances in AI have captured the world’s attention with the immense opportunities they present,” Champagne said in a press release. “Canada is a global AI leader, among the top countries in the world, and Canadians have created many of the world’s top AI innovations. At the same time, Canada takes the potential risks of AI seriously.” CORE PRINCIPLES FOR AI The code, which is not legally binding, focuses on six “core principles” it hopes the major players in the Canadian AI industry will adopt: accountability, safety, fairness and equity, transparency, human oversight and monitoring, and validity and robustness. Some of the measures laid out in the code include the implementation of a clear risk management framework, frequent testing and assessment of systems for biases, and the publishing of information on AI systems so that AI content can be identified. “Through our Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems, leading Canadian companies will adopt responsible guardrails for advanced generative AI systems in order to build safety and trust as the technology spreads,” Champagne said. “We will continue to ensure Canada’s AI policies are fit for purpose in a fast-changing world.” INDUSTRY SIGNATORIES In a news conference Wednesday in Montreal, Champagne said that a number of Canadian AI developers had already signed the code of conduct, including BlackBerry, OpenText, Cohere and Coveo. Cohere’s CEO and co-founder Aidan Gomez said in the press release that he is “very pleased” to see the federal government providing strong leadership in the AI space – a sentiment echoed by OpenText’s CEO. “AI technologies represent immense opportunities for every citizen and business in Canada,” said Mark J. Barrenechea in the release. “The societal impacts of AI are profound across education, biotech, climate and the very nature of work. Canada’s AI Code of Conduct will help accelerate innovation and citizen adoption by setting the standard on how to do it best.” Champagne’s office said the code was written based on input received from a “cross-section of stakeholders” and consultation with a government advisory council. It said a summary of the feedback received during the consultation will be published in the coming days. Related Artists are worried about AI. 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Canada unveils code of conduct for responsible AI development
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IsPreparing DeMergeSprawling Operations McDonalds Resists EU Push Mandate Reusable Packaging Abcam Founder Launches Grab Votes Block 5.7 Billion Deal NATO Turns Underwater Drones AI Bid Deter Russia Chinese Russian Aluminum Groups Sign Deal Deepen Ties TycoonTurned Thai Prime Minister Srettha Foregoes His Salary Charity Evergrande Suspends Trading Hong Kong, Along With Units Commodities News Show Guests CANNABIS Oil Gold Silver Singapore Plans S1.1 Billion Aid Blunt CostofLiving Copper, Iron Ore Slip Hawkish Fed, Slow Demand Before Holiday Oil Rally Gets Fresh Impetus From Shrinking Stockpiles US Hub Asia Stocks Fall, Treasury Yields Extend Rise: Markets Wrap Polands Row With Ukraine Risks Business Ties, InPost CEO Says Toyota Global Sales Hit Record High August, Along With Output Czechs Start Easing Debate With Timing Rate Cuts Unclear One Investors Uphill Battle Turn Rewilding Into MultiBillion Dollar Industry Vedanta Ltd. 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International Market Call Schedule Listen Live Video Shows Market Call Markets More Live Video Shows Market Call Markets BANK OF CANADA INFLATION INTEREST RATES REAL ESTATE CANNABIS OIL GOLD NEWSLETTERS TOP PICKS Technology News Video Article News Video More News Video Latest Videos currentStream.Name Related Video Up Next Now Showing video.Name Continuous Play: ON OFF The information requested available time, check soon. More Video Technology 13h ago Canada unveils code conduct responsible AI development Jordan Fleguel, BNN Bloomberg Its like spirit earlier tech waves AIfocused: Bruce Croxon VIDEO SIGN OUT Up Next Now Showing video.Duration time Canadas minister innovation, science economic development laying new guidelines makers generative artificial intelligence AI systems. On Wednesday, FranoisPhilippe Champagne announced details voluntary code conduct AI industry aims mitigate potential risks posed technology. The code, government said effective immediately, identifies number measures companies encouraged apply operations developing managing AI systems. REGULATIONS PENDING The code developed critical bridge specific AIregulating legislation passed, according ministers office. The federal Liberals introduced Artificial Intelligence Data Act AIDA Bill C27 June 2022, considered House Commons. Advances AI captured worlds attention immense opportunities present, Champagne said press release. Canada global AI leader, countries world, Canadians created worlds AI innovations. At time, Canada takes potential risks AI seriously. CORE PRINCIPLES FOR AI The code, legally binding, focuses core principles hopes major players Canadian AI industry adopt: accountability, safety, fairness equity, transparency, human oversight monitoring, validity robustness. Some measures laid code include implementation clear risk management framework, frequent testing assessment systems biases, publishing information AI systems AI content identified. Through Voluntary Code Conduct Responsible Development Management Advanced Generative AI Systems, leading Canadian companies adopt responsible guardrails advanced generative AI systems order build safety trust technology spreads, Champagne said. We continue ensure Canadas AI policies fit purpose fastchanging world. INDUSTRY SIGNATORIES In news conference Wednesday Montreal, Champagne said number Canadian AI developers signed code conduct, including BlackBerry, OpenText, Cohere Coveo. Coheres CEO cofounder Aidan Gomez said press release pleased federal government providing strong leadership AI space sentiment echoed OpenTexts CEO. AI technologies represent immense opportunities citizen business Canada, said Mark J. Barrenechea release. The societal impacts AI profound education, biotech, climate nature work. Canadas AI Code Conduct help accelerate innovation citizen adoption setting standard best. Champagnes office said code written based input received crosssection stakeholders consultation government advisory council. It said summary feedback received consultation published coming days. Related Artists worried AI. Here FAANG stocks 6:52 Meta lost consumer trust, favour Alphabet Amazon FANG buys right now: Hatem Dhiab 5:10 Stay away FAANG, remain invested tech: Strategist 3:57 Darren Sissons discusses FAANG stocks Microsoft 5:40 Amazon breakout big deal: Fairlead Strategies founder Katie Stockton 6:33 Investors blowout earnings quarter: Belpointes David Nelson 5:08 McCreath: April CPI data spooks equity markets BNN Bloomberg Newsletters BNN Bloomberg Personalities Weekly Guest Schedule Channel Guide Us Accessibility Political Ad Registry Terms Conditions FAQ 2023 CTV News Sites
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https://www.bnnbloomberg.ca/google-s-ai-for-medicine-shows-clinical-answers-more-than-90-accurate-1.1944760
2023-07-14T00:00:00
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Google’s AI for Medicine Shows Clinical Answers More Than 90% Accurate - BNN Bloomberg
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More Video Technology Company News News Wire Jul 12, 2023 Google’s AI for Medicine Shows Clinical Answers More Than 90% Accurate Davey Alba and Julia Love, Bloomberg News (Bloomberg) -- One day in February 2022, two AI researchers at Alphabet Inc.’s Google found themselves engrossed in conversation about artificial intelligence and its potential for real applications in healthcare. As Alan Karthikesalingam and Vivek Natarajan discussed adapting Google’s existing AI models to medical settings, their conversation stretched for hours and into dinner over dosas at a restaurant near the tech giant’s Mountain View headquarters. By the end of the evening, Natarajan had written a first draft of a document that described the possibilities for large language models in health care, including research directions and its challenges.Their work kicked off one of the most intense research sprints that researchers say they have experienced in their time at Google. It culminated in the publication of Med-PaLM, an AI model that researchers say has the potential to revolutionize healthcare by allowing physicians to retrieve medical knowledge quickly to support their clinical decisions. Large language models are massive AI systems that typically ingest enormous volumes of digital text, but Karthikesalingam and Natarajan envisioned a system that would be trained on specialized medical knowledge.Peer-reviewed research underpinning the AI model has been accepted by the scientific journal Nature, Google said Wednesday.  This makes the company first to publish research detailing an AI model that answers medical questions in the journal, it said.The paper contains some surprising results. When the model was posed medical questions, a pool of clinicians rated its responses to be 92.6% in line with the scientific consensus, just shy of the 92.9% score that real-life medical professionals received, according to a statement from Nature, though the clinicians’ evaluations of Med-PaLM weren’t based on it being deployed in hospital settings with real-life patient variables. The study also found that just 5.8% of the model’s responses could cause harm, besting the 6.5% rate achieved by clinicians.Sarah West, managing director of AI Now Institute, a policy research center, said that while publishing in a scientific journal demonstrates some academic oversight of Google’s findings, it’s an insufficient standard for being ready to use the AI system in real health-care settings. “There's all kinds of information that you would want to know, in order to meaningfully evaluate a system before it's deployed into commercial use,” she said. “And you need to look at this system at the level of each hospital, if they're going to be doing any kind of customization of a system for a particular clinical setting.”Without any other mandates for independent testing or evaluation, “we're stuck in a situation where we have to rely on the company's words that they have adequately evaluated” the AI systems before deployment, West added.It’s still early days for Med-PaLM. The company has just in the past few months begun to open up the model to a select group of healthcare and life science organizations for testing, and the company says the model is still far from being ready for use in patient care. Google researchers who worked on the model say that in the future, Med-PaLM could have the potential to provide doctors an expert source to consult when encountering unfamiliar cases, help with the drudgery of clinical documentation and extend care to people who might otherwise not receive any form of health care at all.“Can we catalyze the medical AI community to think seriously about the potential of foundation models for health care?” said Karan Singhal, a software engineer who worked on the project. “That was our guiding North Star.”In March, Google announced Med-PaLM’s second iteration, which it said reached an 86.5% score when answering US medical licensing-style questions — an improvement over its earlier 67% score. The first generation of Med-PaLM was evaluated by 9 clinicians from the UK, the US and India; 15 physicians assessed the second version, Google said.Google and OpenAI, the Microsoft Corp.-backed startup, are locked in a fierce race in artificial intelligence, and the medical field is no exception. Medical systems have begun experimenting with OpenAI’s technology, the Wall Street Journal has reported. Google, for its part, has begun trying out Med-PaLM with the Mayo Clinic, according to the Journal.Both Karthikesalingam and Natarajan had long dreamed of bringing AI to health care. Having begun his career as a physician, Karthikesalingam found himself longing for an AI model that could complement his work. Natarajan grew up in parts of India where for many people seeing a doctor was not feasible. One of the team’s first researchers, Tao Tu, said said he was initially skeptical of the team’s ambitious timetable. “I had an initial call with Vivek, and Vivek said we plan to print out a paper in a month,” Tu said. “And I was like, how is that possible? I have been publishing a number of papers for many years. I know nothing will happen in such a short timescale.”Yet the team pulled it off. After a five-week sprint that stretched over Thanksgiving and Christmas, which included 15-hour work days, the group had composed Med-PaLM, the first generation of the model, and announced it in December.Researchers said the rapid advances in the technology were what motivated them to move so quickly.Along the way, the team began to get a sense of the significance of what they were building. After some early tweaks, the model began achieving a 63% score on the medical licensing exam, clearing the threshold to pass. And in the early stages of the project, the model’s responses were easily distinguishable from the clinicians’ answers by Karthikesalingam, who is a practicing physician himself. But by the end of the process, he could no longer tell which was which, Singhal said.AI algorithms are already used in health care settings for specific tasks, such as in medical imaging, or to help predict which hospitalized patients are most at-risk for sepsis. But generative AI models pose new risks, which Google itself acknowledges. The models might, for instance, deliver medical misinformation in a convincing fashion or integrate biases that could augment existing health disparities. In order to mitigate these risks, the Med-PaLM researchers said they incorporated “adversarial testing” into their AI model. They curated a list of questions designed to elicit AI-generated answers with the potential for harm and bias, including a set of questions focused on sensitive medical topics like Covid-19 and mental health, as well as another set of questions on health equity. The latter focused on issues like racial biases in health care. Google said Med-PaLM 2 gave answers that were more frequently rated as having a “low risk of harm” compared to its first model. But it also said there wasn’t a significant change in the model’s ability to avoid generating inaccurate or irrelevant information.Shek Azizi, a senior research scientist at Google, said that during testing for Med-PaLM, when they asked the AI model to summarize a patient chart or respond with clinical information, they found Med-PaLM “may hallucinate and refer back to studies that are not basically there, or that weren’t provided.”Large language models’ propensity for putting out convincing but wrong answers raises concerns about their use in “domains where truth and veracity are paramount and, in this case, life or death issues,” said Meredith Whittaker, president of the Signal Foundation, which supports private messaging, and a former Google manager. She is also concerned about the prospect of “deploying this technology in settings where the incentives are already calibrated to reduce the amount of care and the amount of money spent on care for people who are suffering.”In a demonstration for Bloomberg reporters, Google showed off an experimental chatbot interface for Med-PaLM 2 in which a user could choose from a variety of medical issues to explore, including conditions like “incontinence,” “loss of balance,” and “acute pancreatitis.” Selecting one of the conditions generated a description from the AI model along with evaluation results, with ratings for criteria like “reflects clinical and scientific consensus” and “correct recall of knowledge.” The interface also displayed a clinician’s real description of the issue to compare against the AI-generated answers.In May, at the company’s annual I/O developers conference, Google announced that it was exploring capabilities for Med-PaLM 2 to draw information from both images and text, allowing testers to help interpret information from X-rays and mammograms to someday improve patient outcomes. “Please provide a report to summarize the following chest X-ray,” read one prompt from the experimental Med-PaLM 2 interface seen by Bloomberg.Though it may not work as advertised in a real clinical setting, the AI’s response looked convincing and comprehensive. “The lung fields are clear without consolidation or edema, the mediastinum is otherwise unremarkable,” it said. “The cardiac silhouette is within normal limits for size, no effusion or pneumothorax is noted, no displaced fractures are evident.”(Adds research scientist quote in the 19th paragraph)©2023 Bloomberg L.P. 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Google’s AI for Medicine Shows Clinical Answers More Than 90% Accurate
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More Video Technology Company News News Wire Jul 12, 2023 Googles AI Medicine Shows Clinical Answers More Than 90 Accurate Davey Alba Julia Love, Bloomberg News Bloomberg One day February 2022, AI researchers Alphabet .s Google engrossed conversation artificial intelligence potential real applications healthcare.As Alan Karthikesalingam Vivek Natarajan discussed adapting Googles existing AI models medical settings, conversation stretched hours dinner dosas restaurant near tech giants Mountain View headquarters.By end evening,Natarajan written draft document described possibilities large language models health care, including research directions challenges.Their work kicked intense research sprints researchers experienced time Google. It culminated publication MedPaLM, AI model researchers potential revolutionize healthcare allowing physicians retrieve medical knowledge quickly support clinical decisions. Large language models massive AI systems typically ingest enormous volumes digital text, Karthikesalingam Natarajan envisioned trained specialized medical knowledge.Peerreviewed research underpinning AI model accepted scientific journal Nature, Google said Wednesday. This makes company publish research detailing AI model answers medical questions journal, said.The paper contains surprising results. When model posed medical questions, pool clinicians rated responsesto 92.6 line scientific consensus, shy 92.9 score reallife medical professionals received, according statement Nature, clinicians evaluations MedPaLMwerent based deployed hospital settings reallife patient variables.The study 5.8 models responses cause harm, besting 6.5 rate achieved clinicians.Sarah West, managing director AI Now Institute, policy research center, said publishing scientific journal demonstrates academic oversight Googles findings, insufficient standard ready use AI real healthcare settings. Theres kinds information want know, order meaningfully evaluate deployed commercial use, said. And need look level hospital, theyre going kind customization particular clinical setting.Without othermandates independent testing evaluation, stuck situation wherewe rely companys words haveadequately evaluated AI systemsbefore deployment,West added.Its early days MedPaLM. The company past months begun open model select group healthcare life science organizations testing, company says model far ready use patient care. Google researchers worked model future, MedPaLM potential provide doctors expert source consult encountering unfamiliar cases, help drudgery clinical documentation extend care people receive form health care all.Can catalyze medical AI community think seriously potential foundation models health care? said Karan Singhal, software engineer worked project. That guiding North Star.In March, Google announced MedPaLMs second iteration, said reached 86.5 score answering US medical licensingstyle questions improvement earlier 67 score.The generation MedPaLM evaluated 9 clinicians UK, US India; 15 physicians assessed second version, Google said.Google OpenAI, Microsoft Corp.backed startup, locked fierce race artificial intelligence, medical field exception. Medical systems begun experimenting OpenAIs technology, Wall Street Journal reported. Google, part, begun trying MedPaLM Mayo Clinic, according Journal.Both Karthikesalingam Natarajan long dreamed bringing AI health care. Having begun career physician, Karthikesalingam longing AI model complement work. Natarajan grew parts India people seeing doctor feasible.One teams researchers, Tao Tu, saidsaid initially skeptical teams ambitious timetable. I initial Vivek, Vivek said plan print paper month, Tu said. And I like, possible? I publishing number papers years. I know happen short timescale.Yet team pulled off. After fiveweek sprint stretched Thanksgiving Christmas, included 15hour work days, group composed MedPaLM, generation model, announced December.Researchers said rapid advances technology motivated quickly.Along way, team began sense significance building.After early tweaks, model began achieving 63 score medical licensing exam, clearing threshold pass. And early stages project, models responses easily distinguishable clinicians answers Karthikesalingam, practicing physician himself. But end process, longer tell which, Singhal said.AI algorithms health care settings specific tasks, medical imaging, help predict hospitalized patients atrisk sepsis. But generative AI models pose new risks, Google acknowledges. The models might, instance, deliver medical misinformation convincing fashion integrate biases augment existing health disparities.In order mitigate risks, MedPaLM researchers said incorporated adversarial testing AI model. They curated list questions designed elicit AIgenerated answers potential harm bias, including set questions focused sensitive medical topics like Covid19 mental health, set questions health equity. The focused issues like racial biases health care.Google said MedPaLM 2 gave answers frequently rated low risk harm compared model. But said wasnt significant change models ability avoid generating inaccurate irrelevant information.Shek Azizi, senior research scientist Google, said duringtesting MedPaLM, asked theAI model summarize patient chart respond clinical information, MedPaLM hallucinate refer studies basically there, werent provided.Large language models propensity putting convincing wrong answers raises concerns use domains truth veracity paramount and, case, life death issues, said Meredith Whittaker, president Signal Foundation, supports private messaging, Google manager. Sheis concerned prospect deploying technology settings incentives calibrated reduce care money spent care people suffering.In demonstration Bloomberg reporters, Google showed experimental chatbot interface MedPaLM 2 user choose variety medical issues explore, including conditions like incontinence, loss balance, acute pancreatitis.Selecting conditions generated description AI model evaluation results, ratings criteria like reflects clinical scientific consensus correct recall knowledge. The interface displayed clinicians real description issue compare AIgenerated answers.In May, companys annual IO developers conference, Google announced exploring capabilities MedPaLM 2 draw information images text, allowing testers help interpret information Xrays mammograms someday improve patient outcomes. Please provide report summarize following chest Xray, read prompt experimental MedPaLM 2 interface seen Bloomberg.Though work advertised real clinical setting, AIs response looked convincing comprehensive. The lung fields clear consolidation edema, mediastinum unremarkable, said. The cardiac silhouette normal limits size, effusion pneumothorax noted, displaced fractures evident.Adds research scientist quote 19th paragraph2023 Bloomberg L.P. 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https://www.bnnbloomberg.ca/yet-another-ai-blind-spot-biased-images-big-take-podcast-1.1933104
2023-06-16T00:00:00
en
Yet Another AI Blind Spot … Biased Images: Big Take Podcast - BNN Bloomberg
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How claiming income from side gigs can lower your tax bill Paper filing is dying but free income tax software lives on: Dale Jackson Tax deadline: Strike not a major issue for most Canadians, expert says 'Give yourself time and space': How to manage your finances during times of grief Experts explain how to cope with money stress Experts share effective ways to tackle student debt Real Estate News Video REITs Bank of America Sees New Clients Soar at Commercial Bank Amid Regional Woes Wall Street’s AI Gambit Fuels Call for US Congressional Scrutiny Home Prices Are Finished Falling After 10% Drop, But No Rebound Yet May home sales, prices rise year-over-year as real estate market heats up Global Net Lease Investor Slams Necessity Merger Office ‘Bloodbath’ Is Near With Banks in Retreat, Canadian Pension Head Says Several factors hurting Canadian housing, broker says China Property Tycoon Zhang Li Agrees to US Extradition Canada Home Prices Climb for Second Month as Market Heats Up Canadians opting for shorter mortgage terms as they hope for declining interest rates A $204 Million Mansion Is Dubai’s Most Expensive House for Sale States Tell Cities: Yes, You’ve Got to Build Housing: Big Take Podcast Deutsche Bank Hires Credit Suisse’s Head of SEAsia Real Estate China’s Central Bank Ramps Up Rate Cuts as Economy Weakens Philippines’ Ayala Ready to be ‘Opportunistic’ on M&A, CEO Says Singapore Home Sales Climb to One-Year High Even After Curbs Workers Resisting the Office Grind Are Suddenly Lonely at Home BOE’s Interest Rate Hikes Are Taking Longer to Curb UK Inflation China’s Property Investment Slump Deepens With Home Demand Weak New Zealand Falls Into Recession as GDP Drops in First Quarter Company News News Video Toyota Had a Great Week. The Company’s Chairman Did Not Asia Stocks to Echo US Rally as Commodities Jump: Markets Wrap Regional Banks Should Draw More Scrutiny, Lazard’s McGuire Says China’s Spying in Cuba Picks Up Where the Soviet Union Left Off Pay for Executives of Failed Banks Is a Target in Senators’ Bill Reddit Says 80% of Top Forums Online After Days of API Protest Hong Kong Doubles Effort to Help Crypto Firms Get Legit Banking Pfizer Sees Covid Shots Targeting XBB.1.5 Strain as Soon as July Fired Grindr Executive Says App Places ‘Profit Over Privacy’ Mysterious 1,000% Stock Gains Baffle Traders in Indonesia Bud Light Brewer Wants Focus Back on Beer After Transgender Row North Korea Fires Suspected Ballistic Missile Ex-Barclays Trader Did Better on Insider Trades Than His Day Job Kenyan Taxpayers to Bear Brunt of President Ruto’s Big Spending Plans Japan Premier Kishida Cools Speculation for Early Election Summers Sees ‘Disturbing’ Signs Fed Driven by Internal Politics Rivian’s SUV Production Is Outpacing Pickup Truck Volume Justice Department, SEC Officials Probing Goldman Role in SVB Abra Accused in Texas of Securities Fraud, Misleading Investors US National Lab, Nuclear Waste Site Hit by Cyberattack Commodities News Show Guests CANNABIS Oil Gold Silver Oil Holds Biggest Jump in Six Weeks on China Stimulus Signs Toyota Had a Great Week. The Company’s Chairman Did Not Asia Stocks to Echo US Rally as Commodities Jump: Markets Wrap Mysterious 1,000% Stock Gains Baffle Traders in Indonesia Kenyan Taxpayers to Bear Brunt of President Ruto’s Big Spending Plans Summers Sees ‘Disturbing’ Signs Fed Driven by Internal Politics US National Lab, Nuclear Waste Site Hit by Cyberattack Ousted Nikola Founder Calls for Leadership Change at EV Maker Bid to End Hydrogen Tax Feud Comes With Tight Clean-Power Limits Petrobras Is Said to Rule Out Buyout Offer for Brazil’s Braskem US, Iran Inch Toward Understanding Aimed at Easing Tensions Ukraine Recap: NATO Defense Ministers Meet in Brussels Odey Trims Stake in Brazil Farm Group Amid Scandal Fallout Return of New York City Smoke Promises Dazzling Sunset But No Orange Haze Peru’s Growth Falls Short of Even the Most Pessimistic Forecast The World’s Oceans Shattered Heat Records in April and May Europe Gas Fluctuates as Extended Outages Leave Traders on Edge Eskom Signs Three-Year Pay Deal With Unions to Avert Strike ‘Badly Scarred’ Investors Need to See If Nigeria Is Really a Buy Patterson-UTI to Buy NexTier Creating Shale-Services Giant Economics News Video Ottawa commits $25M to create Canada's first-ever LGBTQ entrepreneurship program The Daily Chase: Markets point to red open; Gibson Energy looks to expand in U.S. Gulf Coast Inflation, interest rates weighing on Canadians' retirement plans: survey Faster approvals for major projects will be key to achieving climate goals: Report Financial stress is impacting the mental health of Canadians: Survey Most sought-after Toronto real estate neighbourhoods The Daily Chase: Awaiting U.S. Fed decision; IEA forecasts slowdown in oil growth Larry Berman: Fastest U.S. rate hike cycle in history has its Fed's dual mandate at odds ChatGPT transformative because it was widely accessible: Zilis How to balance past debts like student loans with investments for the future How population growth is affecting everything from jobs to housing in the economy U.S. inflation slows, giving room for Federal Reserve to pause rate hikes The Daily Chase: Bunge to buy Glencore's Viterra unit for US$8.2B; B.C. port workers vote to strike U.S. Federal Reserve to keep rates high due to inflation fuelled by corporate greed: Investors The Daily Chase: Glencore continues pursuit for Teck’s steel operations; Price of oil drops Canada suffers minor job losses, snapping eight-month streak The Daily Chase: Canada loses jobs in May; Brookfield to snap up Network International Citi economist who called Bank of Canada rate hike predicts another to come Manulife's Donald rues Bank of Canada hike, sees recession soon Bank of Canada now eyeing 'corporate pricing behaviour' in its inflation fight Politics News Video UK’s Complex Tax System Named an ‘Obstacle’ to Economic Growth Bud Light Brewer Wants Focus Back on Beer After Transgender Row North Korea Fires Suspected Ballistic Missile Japan Premier Kishida Cools Speculation for Early Election US National Lab, Nuclear Waste Site Hit by Cyberattack US West Coast Port Employers, Union Announce Tentative Deal F-16 Planes Are a Message to Putin: NATO Support Isn’t Waning EU Takes More Aggressive Stance on Huawei as China Tensions Rise De Blasio Hit With Record Fine for Misuse of NYC Resources Top Venezuelan Electoral Officials Step Down Ahead of 2024 Vote Chris Christie Blasts Pharma Ads. He Gets Paid by a Company That Runs Them Kissinger: Policy Must Balance US, Foreign Interests (Video) Former Conservative leader Erin O'Toole steps into top role at global strategy firm Ukraine Recap: NATO Defense Ministers Meet in Brussels PGA Deal With Saudi LIV Golf Draws Senate Panel Investigation Kissinger Reflects on Ahlem Concentration Camp Visit Germany Faces Dilemma Over Its Expanding Power, Says Kissinger Kissinger Sees Stronger Role for UK as EU-US Link Post Brexit Kissinger Says Putin Survival ‘Improbable’ If Ukraine Prevails US Supreme Court Rejects Challenge to Native American Adoption Law Technology News Video Toyota Had a Great Week. The Company’s Chairman Did Not China’s Spying in Cuba Picks Up Where the Soviet Union Left Off Reddit Says 80% of Top Forums Online After Days of API Protest Hong Kong Doubles Effort to Help Crypto Firms Get Legit Banking Fired Grindr Executive Says App Places ‘Profit Over Privacy’ North Korea Fires Suspected Ballistic Missile Kenyan Taxpayers to Bear Brunt of President Ruto’s Big Spending Plans Rivian’s SUV Production Is Outpacing Pickup Truck Volume Abra Accused in Texas of Securities Fraud, Misleading Investors US National Lab, Nuclear Waste Site Hit by Cyberattack Ousted Nikola Founder Calls for Leadership Change at EV Maker Bankman-Fried Prosecutors Ask Judge to Set Aside Some Counts JD Anticipates Sales Rebound After Enticing Shoppers With $1.4 Billion Worth of Deals Fired Amazon Union Organizer Will Be Reinstated, Company Says Adobe Raises Sales Forecast as Company Rolls Out New AI Features Intel Set to Gain $11 Billion in Subsidies for German Chip Plant Alphabet Selling Google Domains Assets to Squarespace Microsoft Shares on Course for New Record High as Rally Gains Steam Bitcoin Tightens Grip on Crypto Market as Traders Avoid Smaller Tokens Wall Street’s AI Gambit Fuels Call for US Congressional Scrutiny Opinion News Alphabet investors shouldn't ignore the warning signs: Martin Peers The U.S. Fed is failing in four ways: Mohamed A. El-Erian Apple, JPMorgan turn to pay now grow later Remote Working Boom Is Huge for College Towns Like Knoxville Walmart flashes a warning sign to the entire consumer economy: Andrea Felsted Millennials are finally spending like grown-ups Dismal U.S. GDP report raises the odds of recession this year: Gary Shilling Musk is wrong for Twitter even if deal math works out Chocolate bunnies can teach us to save our food supply The Fed has made a U.S. recession inevitable America's oil reserve weapon risks misfiring Four-day workweeks can burn you out U.S. Fed expects a soft landing. Don't count on it Markets are pushing Fed into developing-economy territory Commodity traders go from bonanza to bailout plea Putin's war shows West must clean up dirty money Salary transparency is good for everyone Microsoft's US$69B Activision deal could be a blunder What if the oil market bulls are wrong and this lonely bear is right? Canada's trucker protest may spread from Ottawa to U.S. ETFs News Video Berman's Call Carving Up the Bond Market Swells Into $39 Billion ETF Business Fed’s Bostic Made Multiple Trades in Blackout Period Before May 2022 FOMC Meeting BlackRock’s Japan ETF Pulls $1 Billion as Nikkei Rally Powers On Cathie Wood Funds Buy Shares of Meta for First Time Since 2021 Once-High-Flying Crypto Funds Are Hardly Drawing Any Investor Attention India Set For $168 Billion Finance Behemoth as HDFC Merger Nears Copycats Target JPMorgan’s Smash-Hit ETFs Just as Market Turns Natural Gas ETF Buying Spree Has Traders Fearing Wild Swings Stumbling Megacap Stocks Send Record $1 Billion to Equal-Weight ETF Media Conglomerate Vivendi Loses Spot on France's CAC 40; Edenred to Join Cathie Wood Says Binance’s Legal Woes Are Good for Coinbase Top South Africa Fund Bets on Platinum as Power Cuts Hit Miners Chinese Investors Flock to Japan ETFs as Local Market Slumps Tech-Heavy China Stock Index Hits Three-Year Low as Bets Unravel Cathie Wood Boosts Coinbase Stake as SEC Crypto Crackdown Widens Rishi Sunak Seeks Closer Economic Ties in First White House Visit A Retail Exodus from US Stocks Points to Gains Ahead, Bank of America Says Crypto Markets Carry On After SEC Clampdown on Largest Exchanges Biggest Junk-Bond ETF Attracts Most Cash Since 2020 as Rally Builds PayPal’s 80% Stock Plunge Hasn’t Soured Wall Street International News Video More... 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More Video Technology Company News News Wire Jun 14, 2023 Yet Another AI Blind Spot … Biased Images: Big Take Podcast Kathryn Fink, Bloomberg News Images produced by an artificial intelligence model created by Stable Diffusion. , Bloomberg (Bloomberg) -- Listen to The Big Take podcast on iHeart, Apple Podcasts, Spotify, Terminal.As pressure mounts on lawmakers to regulate artificial intelligence, another problem area is emerging: text-to-image models. Bloomberg reporters Dina Bass and Leonardo Nicoletti analyzed more than 5,000 images produced by such models and found that the technology was taking racial and gender stereotypes to extremes worse than those in the real world. They join this episode to talk about how AI image generation works — and whether it’s possible to train the models to produce better results.Read more: Humans Are Biased. Generative AI Is Even WorseListen to The Big Take podcast every weekday and subscribe to our daily newsletter: https://bloom.bg/3F3EJAK Have questions or comments for Wes and the team? Reach us at [email protected]. This episode was produced by: Supervising Producer: Vicki Vergolina, Senior Producer: Kathryn Fink, Producer: Federica Romaniello, Associate Producer: Zaynab Siddiqui, Sound Design/Engineers: Raphael Amsili and Gilda Garcia.©2023 Bloomberg L.P. 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Yet Another AI Blind Spot … Biased Images: Big Take Podcast
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The Companys Chairman Did Not Asia Stocks Echo US Rally Commodities Jump: Markets Wrap Regional Banks Should Draw More Scrutiny, Lazards McGuire Says Mysterious 1,000 Stock Gains Baffle Traders Indonesia ExBarclays Trader Did Better Insider Trades Than His Day Job Kenyan Taxpayers Bear Brunt President Rutos Big Spending Plans Japan Premier Kishida Cools Speculation Early Election Yen Strengthens From SevenMonth Low Traders Ready BOJ A 4.2 Trillion Options Event Looms Newly Minted Bull Market Summers Sees Disturbing Signs Fed Driven Internal Politics Rivians SUV Production Is Outpacing PickupTruck Volume Justice Department, SEC Officials Probing Goldman Role SVB Abra Accused Texas Securities Fraud, Misleading Investors US National Lab, Nuclear Waste Site Hit Cyberattack Ousted Nikola Founder Calls Leadership Change EV Maker BankmanFried Prosecutors Ask Judge Set Aside Some Counts Bid End Hydrogen Tax Feud Comes With Tight CleanPower Limits Petrobras Is Said Rule Out Buyout Offer Brazils Braskem Personal Finance News Video Are GICs good investment rates high? Bank Canada rate hike pleasant surprise savers: Dale Jackson 5 simple ways step businesss TikTok game Ballooning debt takes highest toll home equity borrowers: Dale Jackson How invest globally taking world risk: Dale Jackson How improving financial literacy help ease stress tough economy Considering tenant insurance? Heres need know How model driver, break car insurance Pattie LovettReid: Protecting financially risks dementia Fixed income investors breathe easier inflation recedes: Dale Jackson Summer shoestring budget: Tips surviving summer break camp costs rise Why reinvesting tax refund smart option Owe money CRA tax season? Here repayment options PSAC: Will Canadas tax deadline moved strike? How claiming income gigs lower tax Paper filing dying free income tax software lives on: Dale Jackson Tax deadline: Strike major issue Canadians, expert says Give time space: How manage finances times grief Experts explain cope money stress Experts share effective ways tackle student debt Real Estate News Video REITs Bank AmericaSees New Clients Soar Commercial Bank Amid Regional Woes Wall Streets AI Gambit Fuels Call US Congressional Scrutiny Home Prices Are Finished Falling After 10 Drop, But No Rebound Yet May home sales, prices rise yearoveryear real estate market heats Global Net Lease Investor Slams Necessity Merger Office Bloodbath Is Near With Banks Retreat, Canadian Pension Head Says Several factors hurting Canadian housing, broker says China Property Tycoon Zhang Li Agrees US Extradition Canada Home Prices Climb Second Month Market Heats Up Canadians opting shorter mortgage terms hope declining rates A 204 Million Mansion Is Dubais Most Expensive House Sale States Tell Cities: Yes, Youve Got Build Housing: Big Take Podcast Deutsche Bank Hires Credit Suisses Head SEAsia Real Estate Chinas Central Bank Ramps Up Rate Cuts Economy Weakens Philippines Ayala Ready Opportunistic MA, CEO Says Singapore Home Sales Climb OneYear High Even After Curbs Workers Resisting Office Grind Are SuddenlyLonely Home BOEs Interest Rate Hikes Are Taking Longer Curb UK Inflation Chinas Property Investment Slump Deepens With Home Demand Weak New Zealand Falls Into Recession GDP Drops First Quarter Company News News Video Toyota Had Great Week. The Companys Chairman Did Not Asia Stocks Echo US Rally Commodities Jump: Markets Wrap Regional Banks Should Draw More Scrutiny, Lazards McGuire Says Chinas Spying Cuba Picks Up Where Soviet Union Left Off Pay Executives Failed Banks Is Target Senators Bill Reddit Says 80 Top Forums Online After Days API Protest Hong Kong Doubles Effort Help Crypto Firms Get Legit Banking Pfizer Sees Covid Shots Targeting XBB.1.5 Strain Soon July Fired Grindr Executive Says App Places Profit Over Privacy Mysterious 1,000 Stock Gains Baffle Traders Indonesia Bud Light Brewer Wants Focus Back Beer After Transgender Row North Korea Fires Suspected Ballistic Missile ExBarclays Trader Did Better Insider Trades Than His Day Job Kenyan Taxpayers Bear Brunt President Rutos Big Spending Plans Japan Premier Kishida Cools Speculation Early Election Summers Sees Disturbing Signs Fed Driven Internal Politics Rivians SUV Production Is Outpacing PickupTruck Volume Justice Department, SEC Officials Probing Goldman Role SVB Abra Accused Texas Securities Fraud, Misleading Investors US National Lab, Nuclear Waste Site Hit Cyberattack Commodities News Show Guests CANNABIS Oil Gold Silver Oil Holds Biggest Jump Six Weeks China Stimulus Signs Toyota Had Great Week. The Companys Chairman Did Not Asia Stocks Echo US Rally Commodities Jump: Markets Wrap Mysterious 1,000 Stock Gains Baffle Traders Indonesia Kenyan Taxpayers Bear Brunt President Rutos Big Spending Plans Summers Sees Disturbing Signs Fed Driven Internal Politics US National Lab, Nuclear Waste Site Hit Cyberattack Ousted Nikola Founder Calls Leadership Change EV Maker Bid End Hydrogen Tax Feud Comes With Tight CleanPower Limits Petrobras Is Said Rule Out Buyout Offer Brazils Braskem US, Iran h Toward Understanding Aimed Easing Tensions Ukraine Recap: NATO Defense Ministers Meet Brussels Odey Trims Stake Brazil Farm Group Amid Scandal Fallout Return New York City Smoke Promises Dazzling Sunset But No Orange Haze Perus Growth Falls Short Even Most Pessimistic Forecast The Worlds Oceans Shattered Heat Records April May Europe Gas Fluctuates Extended Outages Leave Traders Edge Eskom Signs ThreeYear Pay Deal With Unions Avert Strike Badly Scarred Investors Need See If Nigeria Is Really Buy PattersonUTI Buy NexTier Creating ShaleServices Giant Economics News Video Ottawa commits 25M create Canadas firstever LGBTQ entrepreneurship program The Daily Chase: Markets point red open; Gibson Energy looks expand U.S. Gulf Coast Inflation, rates weighing Canadians retirement plans: survey Faster approvals major projects key achieving climate goals: Report Financial stress impacting mental health Canadians: Survey Most soughtafter Toronto real estate neighbourhoods The Daily Chase: Awaiting U.S. Fed decision; IEA forecasts slowdown oil growth Larry Berman: Fastest U.S. rate hike cycle history Feds dual mandate odds ChatGPT transformative widely accessible: Zilis How balance past debts like student loans investments future How population growth affecting jobs housing economy U.S. inflation slows, giving room Federal Reserve pause rate hikes The Daily Chase: Bunge buy Glencores Viterra unit US8.2B; B.C. port workers vote strike U.S. Federal Reserve rates high inflation fuelled corporate greed: Investors The Daily Chase: Glencore continues pursuit Tecks steel operations; Price oil drops Canada suffers minor job losses, snapping eightmonth streak The Daily Chase: Canada loses jobs May; Brookfield snap Network International Citi economist called Bank Canada rate hike predicts come Manulifes Donald rues Bank Canada hike, sees recession soon Bank Canada eyeing corporate pricing behaviour inflation fight Politics News Video UKs Complex Tax System Named Obstacle Economic Growth Bud Light Brewer Wants Focus Back Beer After Transgender Row North Korea Fires Suspected Ballistic Missile Japan Premier Kishida Cools Speculation Early Election US National Lab, Nuclear Waste Site Hit Cyberattack US West Coast Port Employers, Union Announce Tentative Deal F16 Planes Are Message Putin: NATO Support Isnt Waning EU Takes More Aggressive Stance Huawei China Tensions Rise De Blasio Hit With Record Fine Misuse NYC Resources Top Venezuelan Electoral Officials Step Down Ahead 2024 Vote Chris Christie Blasts Pharma Ads. He Gets Paid Company That Runs Them Kissinger: Policy Must Balance US, Foreign Interests Video Former Conservative leader Erin OToole steps role global strategy firm Ukraine Recap: NATO Defense Ministers Meet Brussels PGA Deal With Saudi LIV Golf Draws Senate Panel Investigation Kissinger Reflects Ahlem Concentration Camp Visit Germany Faces Dilemma Over Its Expanding Power, Says Kissinger Kissinger Sees Stronger Role UK EUUS Link Post Brexit Kissinger Says Putin Survival Improbable If Ukraine Prevails US Supreme Court Rejects Challenge Native American Adoption Law Technology News Video Toyota Had Great Week. The Companys Chairman Did Not Chinas Spying Cuba Picks Up Where Soviet Union Left Off Reddit Says 80 Top Forums Online After Days API Protest Hong Kong Doubles Effort Help Crypto Firms Get Legit Banking Fired Grindr Executive Says App Places Profit Over Privacy North Korea Fires Suspected Ballistic Missile Kenyan Taxpayers Bear Brunt President Rutos Big Spending Plans Rivians SUV Production Is Outpacing PickupTruck Volume Abra Accused Texas Securities Fraud, Misleading Investors US National Lab, Nuclear Waste Site Hit Cyberattack Ousted Nikola Founder Calls Leadership Change EV Maker BankmanFried Prosecutors Ask Judge Set Aside Some Counts JD Anticipates Sales Rebound After Enticing Shoppers With1.4 Billion Worth Deals Fired Amazon Union Organizer Will Be Reinstated, Company Says Adobe Raises Sales Forecast Company Rolls Out New AI Features Intel Set Gain 11 Billion Subsidies German Chip Plant Alphabet Selling Google Domains Assets Squarespace Microsoft Shares Course New Record High Rally Gains Steam Bitcoin Tightens Grip Crypto Market Traders Avoid Smaller Tokens Wall Streets AI Gambit Fuels Call US Congressional Scrutiny Opinion News Alphabet investors shouldnt ignore warning signs: Martin Peers The U.S. Fed failing ways: Mohamed A. ElErian Apple, JPMorgan turn pay grow later Remote Working Boom Is Huge College Towns Like Knoxville Walmart flashes warning sign entire consumer economy: Andrea Felsted Millennials finally spending like grownups Dismal U.S. GDP report raises odds recession year: Gary Shilling Musk wrong Twitter deal math works Chocolate bunnies teach save food supply The Fed U.S. recession inevitable Americas oil reserve weapon risks misfiring Fourday workweeks burn U.S. Fed expects soft landing. Dont count Markets pushing Fed developingeconomy territory Commodity traders bonanza bailout plea Putins war shows West clean dirty money Salary transparency good Microsofts US69B Activision deal blunder What oil market bulls wrong lonely bear right? Canadas trucker protest spread Ottawa U.S. ETFs News Video Bermans Call Carving Up Bond Market Swells Into 39 Billion ETF Business Feds Bostic Made Multiple Trades Blackout Period Before May 2022 FOMC Meeting BlackRocks Japan ETF Pulls 1 Billion Nikkei Rally Powers On Cathie Wood Funds Buy Shares Meta First Time Since 2021 OnceHighFlying Crypto Funds Are Hardly Drawing Any Investor Attention India Set For 168 Billion Finance Behemoth HDFC Merger Nears Copycats Target JPMorgans SmashHit ETFs Just Market Turns Natural Gas ETF Buying Spree Has Traders Fearing Wild Swings Stumbling Megacap Stocks Send Record 1 Billion EqualWeight ETF Media Conglomerate Vivendi Loses Spot Frances CAC 40;Edenred Join Cathie Wood Says Binances Legal Woes Are Good Coinbase Top South Africa Fund Bets Platinum Power Cuts Hit Miners Chinese Investors Flock Japan ETFs Local Market Slumps TechHeavy China Stock Index Hits ThreeYear Low Bets Unravel Cathie Wood Boosts Coinbase Stake SEC Crypto Crackdown Widens Rishi Sunak Seeks Closer Economic Ties First White House Visit A Retail Exodus US Stocks Points Gains Ahead, Bank America Says Crypto Markets Carry On After SEC Clampdown Largest Exchanges Biggest JunkBond ETF Attracts Most Cash Since 2020 Rally Builds PayPals 80 Stock Plunge Hasnt Soured Wall Street International News Video More... Market Call Schedule Listen Live Video Shows Market Call Markets More Live Video Shows Market Call Markets BCE You redirected BCE.ca website Bell Canada Enterprises, view Accessibility plan,and submit feedback Accessibility webform. Go Now Cancel BANK OF CANADA INFLATION INTEREST RATES REAL ESTATE CANNABIS OIL GOLD NEWSLETTERS TOP PICKS Technology News Video Article News Video More News Video Latest Videos currentStream.Name Related Video Up Next Now Showing video.Name Continuous Play: ON OFF The information requested available time, check soon. More Video Technology Company News News Wire Jun 14, 2023 Yet Another AI Blind Spot Biased Images: Big Take Podcast Kathryn Fink, Bloomberg News Images produced artificial intelligence model created Stable Diffusion. , Bloomberg Bloomberg Listen The Big Take podcast iHeart, Apple Podcasts, Spotify, Terminal.As pressure mounts lawmakers regulate artificial intelligence, problem area emerging: texttoimage models. Bloomberg reporters Dina Bass Leonardo Nicoletti analyzed 5,000 images produced models technology wastaking racial gender stereotypes extremes worse real world. They join episode talk AI image generation works possible train models produce better results.Read more: Humans Are Biased. Generative AI Is Even WorseListen The Big Take podcast weekday subscribe daily newsletter: Have questions comments Wes team? Reach bigtake This episode produced by: Supervising Producer: Vicki Vergolina, Senior Producer: Kathryn Fink, Producer: Federica Romaniello, Associate Producer: Zaynab Siddiqui, Sound DesignEngineers: Raphael Amsili Gilda Garcia.2023 Bloomberg L.P. FAANG stocks 6:52 Meta lost consumer trust, favour Alphabet Amazon FANG buys right now: Hatem Dhiab 5:10 Stay away FAANG, remain invested tech: Strategist 3:57 Darren Sissons discusses FAANG stocks Microsoft 5:40 Amazon breakout big deal: Fairlead Strategies founder Katie Stockton 6:33 Investors blowout earnings quarter: Belpointes David Nelson 5:08 McCreath: April CPI data spooks equity markets BNN Bloomberg Newsletters BNN Bloomberg Personalities Weekly Guest Schedule Channel Guide Us Accessibility Political Ad Registry Terms Conditions FAQ 2023 CTV News Sites
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https://www.boston.com/news/the-boston-globe/2022/12/14/chatgpt-ai-boston-stories/
2022-12-14T00:00:00
en
We asked ChatGPT to write stories about Boston. Here’s how it went.
We asked ChatGPT to write stories about Boston. Here’s how it went. Skip to Main Content Open Close Menu Home News Local National Politics COVID Crime Traffic Jobs Sports Patriots Celtics Bruins Red Sox Revs Chad Finn Weather Maps Storms Climate Change Snow David Epstein Community Tell Us Readers Say Book Club Cocktail Club Music Club The B-Side Culture Entertainment Movies TV Streaming Celebs Music Arts Love Letters Food Restaurants News Reviews Events Breweries & Bars Openings Closings Travel Outdoors Flights Skiing Visiting Boston Cape Cod New England Things To Do Submit a Listing Real Estate News Buying Open Houses Renting Luxury Reno Developments Cars New Car Specials Extra Fresh Start Advertise Classified Ads Customer Support Newsletters Careers Contact Us Obituaries Mass. 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Lottery Powerball Mega Millions Horoscopes Comics Today in History Deals Partners Coupons DoorDash Promo Codes Office Depot Coupons H&M Coupons adidas Promo Codes Walmart Promo Codes GrubHub Promo Codes ebay Coupons Dick’s Sporting Goods Coupons Overstock Coupons Hotels.com Coupons Vitacost Coupons Samsung Promo Codes Forever 21 Coupons Macy’s Coupons Verizon Promo Codes Games Betting Pot prices Patriots Holiday Gift Guide The Boston Globe We asked an AI program to write stories about Boston. Here’s how it went. The latest in artificially intelligent chat technology has been lauded for its ability to mimic various writing styles. But is it too good? Ally Rzesa / The Boston Globe By Spencer Buell, The Boston Globe December 14, 2022 | 10:01 AM FacebookTwitterEmailEmail Conversations. Scientific queries. Lines of code. Letters. Recipes. Creative fiction. Sonnets. Songs. For better or worse, ChatGPT can apparently do it all. As many people have noticed since the online tool was publicly released in late November, the chatbot — powered by artificial intelligence — can do an eerily good job of imitating the real thing. The tool, which was built by OpenAI, a nonprofit research lab, allows users to input prompts that ask the conversational assistant to generate an array of writing tasks. In what feels like an instant, ChatGPT will answer the questions or spit out renditions of human-produced content, like legal analysis that some lawyers have said rivals that of actual practitioners. Advertisement: Since it was first unveiled, people have been using the AI-powered program to formulate tongue-in-cheek responses, asking it to do everything from explaining quantum theory through the lens of rapper Snoop Dogg to writing a biblical verse about removing a peanut butter sandwich from a VCR. Others have used it to better understand Gen Z slang, or, as one user claims, to negotiate a lower Comcast bill. All of it has been done with sometimes startlingly convincing grammar and syntax. I’m sorry, I simply cannot be cynical about a technology that can accomplish this. pic.twitter.com/yjlY72eZ0m — Thomas H. Ptacek (@tqbf) December 2, 2022 Here it is! The first ever Comcast bill negotiated 100% with A.I and LLMs. Our @DoNotPay ChatGPT bot talks to Comcast Chat to save one of our engineers $120 a year on their Internet bill. Will be publicly available soon and work on online forms, chat and email. pic.twitter.com/eehdQ5OXrl — Joshua Browder (@jbrowder1) December 12, 2022 ChatGPT is by no means perfect, and has been known to share incorrect information with an air of confidence (in one flub, it repeatedly struggled to answer the question “What is the world’s fastest marine mammal?”, believing it was a Peregrine falcon.) It can also reflect the biases of the pre-existing text it combs through to generate answers. Its widespread availability — more than a million people have experimented with it already — has fueled concerns about how the tool might be used to help students create essays for class assignments, or let scammers write grammatically correct phishing e-mails and generate malware. In an interview with TechCrunch last week, MIT fellow Paul Kedroski compared the technology to “a virus [that] has been released into the wild with no concern for the consequences.” Advertisement: To get a better sense of ChatGPT’s capabilities, we fed it a series of Boston-related prompts, including requests to write Boston Globe articles based on entirely fictional events. What follows are the exact requests we typed into the ChatGPT tool, along with the results it produced nearly instantaneously. So how good is it at producing prose in the style of a news article? And how does its writing stack up with the likes of Henry Wadsworth Longfellow, or a film producer like Ben Affleck? Judge for yourself. “Write a Boston Globe article recapping the Westminster Dog Show, but all the dogs are Boston Dynamics robots” The Westminster Kennel Club Dog Show has always been a spectacle of the canine world, showcasing some of the most beautiful and talented dogs in the world. But this year’s event had a twist that no one was expecting: all of the competitors were Boston Dynamics robots. The audience at Madison Square Garden was stunned as the robots took to the stage, each one moving with a grace and agility that was almost indistinguishable from a real dog. Some of the robots even had lifelike fur and wagging tails, adding to the illusion. Advertisement: The judges were equally impressed by the robots’ performance, awarding top honors to a robot golden retriever named “Goldie” for its impressive obedience routine. Other standout competitors included a robotic poodle named “Sparks” and a robotic German shepherd named “Scout.” While the idea of robot dogs competing in a dog show may seem strange, it highlights the incredible advancements in robotics technology in recent years. The robots at the Westminster Dog Show were able to perform a variety of tasks, from simple commands like sit and stay, to more complex tasks like running obstacle courses and dancing to music. Many in the audience were also amazed by the robots’ ability to interact with their handlers, showing a level of social intelligence that is not commonly seen in robots. Some even commented on how the robots seemed to have their own personalities, with Goldie wagging its tail excitedly when it was awarded first place. Overall, the Westminster Dog Show was a unique and fascinating event, showcasing the capabilities of some of the most advanced robots in the world. While the idea of robot dogs may be a little unsettling to some, there’s no denying the impressive feats of engineering and artificial intelligence that were on display. “Write a Boston Globe article about Boston accents suddenly vanishing overnight” As residents of Boston woke up this morning, many were shocked to find that their distinctive Boston accents had vanished overnight. The classic “wicked smaht” way of speaking that has long been associated with the city and its residents was nowhere to be found, leaving many to wonder what could have caused such a sudden and widespread change. Advertisement: According to experts, the sudden disappearance of the Boston accent is likely due to a combination of factors. Some speculate that it may be the result of a collective subconscious desire among Bostonians to shed the stereotype of the “dumb Bostonian” that has long been associated with the accent. Others point to the increasing influence of mass media and the homogenizing effects of globalization, which may have led to a more standardized way of speaking in the city. Regardless of the reason, the loss of the Boston accent has left many residents feeling a sense of loss and nostalgia. “I grew up with that accent, and it’s just a part of who I am,” said one lifelong Boston resident. “It’s sad to see it go.” The disappearance of the accent has also raised concerns about the potential loss of other aspects of Boston’s unique culture and identity. Local businesses that were known for their Boston accents, such as the Cheers bar, have reported a significant drop in customers, and there are fears that the city’s tourist industry may also be affected. For now, Bostonians are left to grapple with the sudden change and figure out what it means for their city and their own personal identities. Some are hopeful that the accent will return in time, while others are resigned to the fact that it may be gone for good. Whatever the case, it is clear that the disappearance of the Boston accent has left a void that will be difficult to fill. Advertisement: “Write a Boston Globe article about Rob Gronkowski growing to the size of Godzilla and stomping through the city of Boston” In a shocking turn of events, former New England Patriots tight end Rob Gronkowski has reportedly grown to the size of the legendary monster Godzilla and has been spotted stomping through the streets of Boston. Eyewitnesses describe Gronkowski, who stands at a staggering 350 feet tall, causing destruction and chaos as he rampages through the city. Emergency crews and the National Guard have been deployed to try and stop him, but so far their efforts have been unsuccessful. “It’s like something out of a nightmare,” said one terrified resident. “Gronkowski is just tearing through buildings and cars like they’re nothing. I don’t now how this is even possible.” The cause of Gronkowski’s sudden growth and rampaging behavior is unknown at this time, but some speculate that it may be the result of a genetic experiment gone wrong. Scientists are working around the clock to try and find a solution to this crisis. In the meantime, Boston residents are being urged to stay indoors and avoid any areas where Gronkowski has been sighted. The situation remains tense and uncertain, and it is unclear how long it will take to bring the former football star under control. This is a developing story, and we will provide updates as more information becomes available. “Write a synopsis of a comedy movie about a man who makes movies about Boston” In “Boston Bred,” Jack is a struggling filmmaker who is passionate about making movies about his hometown of Boston. Despite the challenges he faces, Jack is determined to showcase the city’s rich history and unique culture on the big screen. However, his big break seems out of reach until he gets the chance to make a movie about the beloved local chain, Dunkin’ Donuts. As Jack delves into the history of the company and its iconic role in Boston, he finds himself on a wild adventure filled with eccentric characters, unexpected twists, and of course, plenty of donuts. Along the way, he learns the true meaning of home and discovers that sometimes, the best stories are the ones that are close to home. Advertisement: “Re-write the Midnight Ride of Paul Revere as if he had ridden an e-scooter instead of a horse” On the evening of April 18th, Paul Revere set out on his e-scooter With haste, he rode through the streets of Boston Alerting the colonists of the approaching British His message was urgent and clear: “The Regulars are coming, they’re almost here!” He rode through the town, his e-scooter’s wheels a blur Knocking on doors and shouting out loud “The Regulars are coming, they’re almost here!” The message must be spread, without delay or fear Soon, other riders joined in the cause Riding their e-scooters through the streets and alleys Alerting the colonists to the impending danger Their message was clear: “The Regulars are coming, they’re almost here!” The e-scooters raced through the night Their riders brave and true Spreading the warning far and wide That the Regulars were coming, and it was time to fight And so, thanks to Paul Revere and his trusty e-scooter The colonists were prepared for the British attack Their bravery and determination would help secure Their victory and independence, never to look back Be civil. 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We asked ChatGPT to write stories about Boston. Here’s how it went.
We asked ChatGPT write stories Boston. Heres went. Skip Main Content Open Close Menu Home News Local National Politics COVID Crime Traffic Jobs Sports Patriots Celtics Bruins Red Sox Revs Chad Finn Weather Maps Storms Climate Change Snow David Epstein Community Tell Us Readers Say Book Club Cocktail Club Music Club The BSide Culture Entertainment Movies TV Streaming Celebs Music Arts Love Letters Food Restaurants News Reviews Events Breweries Bars Openings Closings Travel Outdoors Flights Skiing Visiting Boston Cape Cod New England Things To Do Submit Listing Real Estate News Buying Open Houses Renting Luxury Reno Developments Cars New Car Specials Extra Fresh Start Advertise Classified Ads Customer Support Newsletters Careers Us Obituaries Mass. 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Lottery Powerball Mega Millions Horoscopes Comics Today History Deals Partners Coupons DoorDash Promo Codes Office Depot Coupons HM Coupons adidas Promo Codes Walmart Promo Codes GrubHub Promo Codes ebay Coupons Dicks Sporting Goods Coupons Overstock Coupons Coupons Vitacost Coupons Samsung Promo Codes Forever 21 Coupons Macys Coupons Verizon Promo Codes Games Betting Pot prices Patriots Holiday Gift Guide The Boston Globe We asked AI program write stories Boston. Heres went. The latest artificially intelligent chat technology lauded ability mimic writing styles. But good? Ally Rzesa The Boston Globe By Spencer Buell, The Boston Globe December 14, 2022 10:01 AM FacebookTwitterEmailEmail Conversations. Scientific queries. Lines code. Letters. Recipes. Creative fiction. Sonnets. Songs. For better worse, ChatGPT apparently all. As people noticed online tool publicly released late November, chatbot powered artificial intelligence eerily good job imitating real thing. The tool, built OpenAI, nonprofit research lab, allows users input prompts ask conversational assistant generate array writing tasks. In feels like instant, ChatGPT answer questions spit renditions humanproduced content, like legal analysis lawyers said rivals actual practitioners. Advertisement: Since unveiled, people AIpowered program formulate tongueincheek responses, asking explaining quantum theory lens rapper Snoop Dogg writing biblical verse removing peanut butter sandwich VCR. Others better understand Gen Z slang, or, user claims, negotiate lower Comcast bill. All startlingly convincing grammar syntax. Im sorry, I simply cynical technology accomplish this. pic.yjlY72eZ0m Thomas H. Ptacek December 2, 2022 Here The Comcast negotiated 100 A.I LLMs. Our ChatGPT bot talks Comcast Chat save engineers 120 year Internet bill. Will publicly available soon work online forms, chat email. pic.eehdQ5OXrl Joshua Browder December 12, 2022 ChatGPT means perfect, known share incorrect information air confidence flub, repeatedly struggled answer question What worlds fastest marine mammal?, believing Peregrine falcon. It reflect biases preexisting text combs generate answers. Its widespread availability million people experimented fueled concerns tool help students create essays class assignments, let scammers write grammatically correct phishing emails generate malware. In interview TechCrunch week, MIT fellow Paul Kedroski compared technology virus [that] released wild concern consequences. Advertisement: To better sense ChatGPTs capabilities, fed series Bostonrelated prompts, including requests write Boston Globe articles based entirely fictional events. What follows exact requests typed ChatGPT tool, results produced nearly instantaneously. So good producing prose style news article? And writing stack likes Henry Wadsworth Longfellow, film producer like Ben Affleck? Judge yourself. Write Boston Globe article recapping Westminster Dog Show, dogs Boston Dynamics robots The Westminster Kennel Club Dog Show spectacle canine world, showcasing beautiful talented dogs world. But years event twist expecting: competitors Boston Dynamics robots. The audience Madison Square Garden stunned robots took stage, moving grace agility indistinguishable real dog. Some robots lifelike fur wagging tails, adding illusion. Advertisement: The judges equally impressed robots performance, awarding honors robot golden retriever named Goldie impressive obedience routine. Other standout competitors included robotic poodle named Sparks robotic German shepherd named Scout. While idea robot dogs competing dog strange, highlights incredible advancements robotics technology recent years. The robots Westminster Dog Show able perform variety tasks, simple commands like sit stay, complex tasks like running obstacle courses dancing music. Many audience amazed robots ability interact handlers, showing level social intelligence commonly seen robots. Some commented robots personalities, Goldie wagging tail excitedly awarded place. Overall, Westminster Dog Show unique fascinating event, showcasing capabilities advanced robots world. While idea robot dogs little unsettling some, theres denying impressive feats engineering artificial intelligence display. Write Boston Globe article Boston accents suddenly vanishing overnight As residents Boston woke morning, shocked distinctive Boston accents vanished overnight. The classic wicked smaht way speaking long associated city residents found, leaving wonder caused sudden widespread change. Advertisement: According experts, sudden disappearance Boston accent likely combination factors. Some speculate result collective subconscious desire Bostonians shed stereotype dumb Bostonian long associated accent. Others point increasing influence mass media homogenizing effects globalization, led standardized way speaking city. Regardless reason, loss Boston accent left residents feeling sense loss nostalgia. I grew accent, I am, said lifelong Boston resident. Its sad go. The disappearance accent raised concerns potential loss aspects Bostons unique culture identity. Local businesses known Boston accents, Cheers bar, reported significant drop customers, fears citys tourist industry affected. For now, Bostonians left grapple sudden change figure means city personal identities. Some hopeful accent return time, resigned fact gone good. Whatever case, clear disappearance Boston accent left void difficult fill. Advertisement: Write Boston Globe article Rob Gronkowski growing size Godzilla stomping city Boston In shocking turn events, New England Patriots tight end Rob Gronkowski reportedly grown size legendary monster Godzilla spotted stomping streets Boston. Eyewitnesses Gronkowski, stands staggering 350 feet tall, causing destruction chaos rams city. Emergency crews National Guard deployed try stop him, far efforts unsuccessful. Its like nightmare, said terrified resident. Gronkowski tearing buildings cars like theyre nothing. I dont possible. The cause Gronkowskis sudden growth rampaging behavior unknown time, speculate result genetic experiment gone wrong. Scientists working clock try solution crisis. In meantime, Boston residents urged stay indoors avoid areas Gronkowski sighted. The situation remains tense uncertain, unclear long bring football star control. This developing story, provide updates information available. Write synopsis comedy movie man makes movies Boston In Boston Bred, Jack struggling filmmaker passionate making movies hometown Boston. Despite challenges faces, Jack determined showcase citys rich history unique culture big screen. However, big break reach gets chance movie beloved local chain, Dunkin Donuts. As Jack delves history company iconic role Boston, finds wild adventure filled eccentric characters, unexpected twists, course, plenty donuts. Along way, learns true meaning home discovers sometimes, best stories ones close home. Advertisement: Rewrite Midnight Ride Paul Revere ridden escooter instead horse On evening April 18th, Paul Revere set escooter With haste, rode streets Boston Alerting colonists approaching British His message urgent clear: The Regulars coming, theyre He rode town, escooters wheels blur Knocking doors shouting loud The Regulars coming, theyre The message spread, delay fear Soon, riders joined cause Riding escooters streets alleys Alerting colonists impending danger Their message clear: The Regulars coming, theyre The escooters raced night Their riders brave true Spreading warning far wide That Regulars coming, time fight And so, thanks Paul Revere trusty escooter The colonists prepared British attack Their bravery determination help secure Their victory independence, look Be civil. Be kind. Read community guidelines. Most Popular Visit Recreational marijuana: Heres far prices fallen Mass. Visit N.H. man accused playing key role global Russian smuggling scheme Visit 7 takeaways Jayson Tatum lifts Celtics Lakers close road trip Visit Grant Wahl died burst blood vessel, family says Visit Fans fingertip bitten fight BruinsCoyotes game In Related News Meta tech giants laying workers slowing down. Heres means Boston. Donald Trump Heres know UMass Memorial Health Care employee reportedly D.C. Capitol siege Celebs Critics Hilaria Baldwin lying heritage. Heres husband Alec responded. Partnership Offers Door DashSave 50 Off Door DashHotels.comUp 10 Off CouponsadidasSave 33 adidasOverstock25 Overstock OrdersSamsungScore 40 Orders SamsungGrubhubReceive 50 Grubhub Follow Instagram Opens New Tab Follow Twitter Opens New Tab Like Facebook Opens New Tab 2022 Boston Globe Media Partners, LLC Sign daily newsletter Submit email Enter email address Do sell data ADVERTISE Member Agreement CONTACT US CAREERS Close Modal Newsletter Signup Logo Stay date Boston. 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"reach", "gets", "chance", "movie", "beloved", "local", "chain", "dunkin", "donuts", "jack", "delves", "history", "company", "iconic", "role", "boston", "finds", "wild", "adventure", "filled", "eccentric", "characters", "unexpected", "twists", "course", "plenty", "donuts", "way", "learns", "true", "meaning", "home", "discovers", "best", "stories", "ones", "close", "home", "advertisement", "rewrite", "midnight", "ride", "paul", "revere", "ridden", "escooter", "instead", "horse", "evening", "april", "th", "paul", "revere", "set", "escooter", "haste", "rode", "streets", "boston", "alerting", "colonists", "approaching", "british", "message", "urgent", "clear", "regulars", "coming", "theyre", "rode", "town", "escooters", "wheels", "blur", "knocking", "doors", "shouting", "loud", "regulars", "coming", "theyre", "message", "spread", "delay", "fear", "soon", "riders", "joined", "cause", "riding", "escooters", "streets", "alleys", "alerting", "colonists", "impending", "danger", "message", 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"memorial", "health", "care", "employee", "reportedly", "capitol", "siege", "celebs", "critics", "hilaria", "baldwin", "lying", "heritage", "heres", "husband", "alec", "responded", "partnership", "offers", "door", "dashsave", "door", "dashhotels", "comup", "adidasoverstock", "overstock", "orders", "grubhub", "follow", "instagram", "opens", "new", "tab", "follow", "twitter", "opens", "new", "tab", "like", "facebook", "opens", "new", "tab", "boston", "globe", "media", "partners", "llc", "sign", "daily", "newsletter", "submit", "email", "enter", "email", "address", "sell", "data", "advertise", "member", "agreement", "contact", "careers", "close", "modal", "newsletter", "signup", "logo", "stay", "date", "boston", "receive", "latest", "news", "breaking", "updates", "straight", "newsroom", "inbox", "enter", "email", "address", "submit", "email", "enter", "email", "address", "thanks", "closes", "modal", "window", "settings" ]
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https://www.bqprime.com/technology/bill-gates-believes-a-personal-ai-agent-can-replace-google-amazon-bqc
2023-05-30T00:00:00
en
Bill Gates Believes A Personal AI 'Agent' Can Replace Google, Amazon
Bill Gates Believes A Personal AI 'Agent' Can Replace Google, Amazon View All Search ResultsEnglishHindi ExploreHelloBQ Prime Reader9:01 am IST30 May 2023ALL SECTIONSMarketsBusinessResearch Reports EXCLUSIVES Economy & FinanceLaw & PolicyPoliticsBudget 2023IPOsDavos 2023Today's LatestVideosOpinionMutual FundsTrendingLearningBQ Prime EdgeCoronavirus PandemicESG InvestingGlobal EconomicsGSTPursuitsBusinessweekSportsEarnings TechnologyCryptoPersonal FinanceNationalWorldFinancial TermsLegal LibraryMORE FROM BQ PRIMEWeb StoriesQuick bytes of the dayCalculatorsEMI, Loan & FinanceNewslettersAll you need to knowResearch ReportsCurated just for you+FollowAbout usTerms of UsePrivacy PolicySitemapRSS TechnologyBill Gates Believes A Personal AI 'Agent' Can Replace Google, AmazonADVERTISEMENTBill Gates Believes A Personal AI 'Agent' Can Replace Google, AmazonGates also expressed concerns about the impact of AI on the job market. Komal Jain30 May 2023, 12:48 PM IST 30 May 2023, 12:48 PM IST30 May 2023, 12:48 PM ISTWhatsAppTwitterFacebookTelegramSaveBill Gates. (Photo: Reuters)Microsoft co-founder Bill Gates has made a bold prediction about the future of Artificial Intelligence (AI) and how it will disrupt the lives of the people. Gates said that one company will create an AI personal agent that will understand all the activities for an individual and perform certain tasks for him/her. This move can potentially be a threat for the likes of Google, Amazon and other big companies. “There will be one company ...Microsoft co-founder Bill Gates has made a bold prediction about the future of Artificial Intelligence (AI) and how it will disrupt the lives of the people. Gates said that one company will create an AI personal agent that will understand all the activities for an individual and perform certain tasks for him/her. This move can potentially be a threat for the likes of Google, Amazon and other big companies. “There will be one company that creates a personal agent that will understand all your activities and will read your messages. It will read the stuff you don’t have time to read,” he said at the Goldman Sachs and SV Angel’s AI Forward conference in San Francisco.“That’s a big thing because you’ll never go to a search site again. You’ll never go to a productivity tool again. You’ll never go to Amazon again. Everything will be mediated through your agent,” said Gates. The billionaire said that whoever wins that will take the current dispersed, high profit areas, and move them into a single area."I'd say that's 50/50," when asked whether this yet-to-be-developed AI assistant will come from a large, established tech company or a startup. “I mean, I’d be disappointed if Microsoft didn’t come in there. But I’m very impressed with a couple of startups,” Gates said. Gates also expressed concerns about the impact of AI on the job market. He predicted that robots would soon take over blue-collar jobs, leading to increased efficiency and reduced costs in industrial sectors.Additionally, Gates warned that white-collar jobs could be at risk of being replaced, as AI technology becomes capable of producing accurate and high-quality content.Bill Gates expressed optimism about Microsoft's role in shaping the future of AI, highlighting their $10 billion investment in OpenAI's ChatGPT as a testament to their commitment. He believes companies will incorporate ChatGPT-like features into their products until AI disrupts existing business models.ADVERTISEMENTADVERTISEMENTGet live Stock market updates, Business news, Today’s latest news, Trending stories, and Videos on BQ Prime. Subscribe to get full access to Exclusives.ADVERTISEMENT
Bill Gates Believes A Personal AI 'Agent' Can Replace Google, Amazon
Bill Gates Believes A Personal AI Agent Can Replace Google, Amazon View All ResultsEnglishHindi ExploreHelloBQ Prime Reader9:01 amIST30 May 2023ALL SECTIONSMarketsBusinessResearch Reports EXCLUSIVES Economy FinanceLaw PolicyPoliticsBudget 2023IPOsDavos 2023Todays LatestVideosOpinionMutual FundsTrendingLearningBQ Prime EdgeCoronavirus PandemicESG InvestingGlobal EconomicsGSTPursuitsBusinessweekSportsEarnings TechnologyCryptoPersonal FinanceNationalWorldFinancial TermsLegal LibraryMORE FROM BQ PRIMEWeb StoriesQuick bytes dayCalculatorsEMI, Loan FinanceNewslettersAll need knowResearch ReportsCurated youFollowAbout usTerms UseSitemapRSS TechnologyBill Gates Believes A Personal AI Agent Can Replace Google, AmazonADVERTISEMENTBill Gates Believes A Personal AI Agent Can Replace Google, AmazonGates expressed concerns impact AI job market. Komal Jain30 May 2023, 12:48 PM IST 30 May 2023, 12:48 PM IST30 May 2023, 12:48 PM ISTWhatsAppTwitterFacebookTelegramSaveBill Gates. Photo: ReutersMicrosoft cofounder Bill Gates bold prediction future Artificial Intelligence AI disrupt lives people. Gates said company create AI personal agent understand activities individual perform certain tasks himher. This potentially threat likes Google, Amazon big companies. There company ...Microsoft cofounder Bill Gates bold prediction future Artificial Intelligence AI disrupt lives people. Gates said company create AI personal agent understand activities individual perform certain tasks himher. This potentially threat likes Google, Amazon big companies. There company creates personal agent understand activities read messages. It read stuff dont time read, said Goldman Sachs SV Angels AI Forward conference San Francisco.Thats big thing youll search site again. Youll productivity tool again. Youll Amazon again. Everything mediated agent, said Gates.The billionaire said wins current dispersed, high profit areas, single area.Id thats 5050, asked yettobedeveloped AI assistant come large, established tech company startup. I mean, Id disappointed Microsoft didnt come there. But Im impressed couple startups, Gates said. Gates expressed concerns impact AI job market. He predicted robots soon bluecollar jobs, leading increased efficiency reduced costs industrial sectors.Additionally, Gates warned whitecollar jobs risk replaced, AI technology capable producing accurate highquality content.Bill Gates expressed optimism Microsofts role shaping future AI, highlighting 10 billion investment OpenAIs ChatGPT testament commitment. He believes companies incorporate ChatGPTlike features products AI disrupts existing business models.ADVERTISEMENTADVERTISEMENTGet live Stock market updates, Business news, Todays latest news, Trending stories, Videos BQ Prime. access Exclusives.ADVERTISEMENT
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https://www.breakinglatest.news/business/sector-bull-and-bear-list-the-concept-of-artificial-intelligence-aigc-continues-to-ferment-and-the-accommodation-and-catering-sector-is-the-largest-decliner/
2023-02-01T00:00:00
en
Sector bull and bear list: The concept of artificial intelligence AIGC continues to ferment, and the accommodation and catering sector is the largest decliner-breakinglatest.news-Breaking Latest News
Sector bull and bear list: The concept of artificial intelligence AIGC continues to ferment, and the accommodation and catering sector is the largest decliner-breakinglatest.news-Breaking Latest News Home Business Entertainment Health News Sports World Technology Search Home Business Sector bull and bear list: The concept of artificial intelligence AIGC continues to ferment, and the accommodation and catering sector is the largest decliner Business Sector bull and bear list: The concept of artificial intelligence AIGC continues to ferment, and the accommodation and catering sector is the largest decliner by admin February 1, 2023 February 1, 2023 Share to WeChat Open WeChat, click “Discovery” at the bottom,Use “scan” to share the webpage to Moments. China Business News 2023-02-01 12:37:47 Editor in charge: Hao Yunying Tencent released the AIGC development trend report. The concept of artificial intelligence and robotics continued to be active in the early trading. Both shares, Tech-Long 4th board, Hanvon Technology 3rd board, Saiwei Smart surged 20%, and Danghong Technology, Skyworth Digital, etc. were the top gainers. The lodging and catering sectors were among the biggest losers, led by Xi’an Catering and Huatian Hotels. Sector bull and bear list: The concept of artificial intelligence AIGC continues to ferment, and the accommodation and catering sector is the largest decliner Tencent released the AIGC development trend report. The concept of artificial intelligence and robotics continued to be active in the early trading. Both shares, Tech-Long 4th board, Hanvon Technology 3rd board, Saiwei Smart surged 20%, and Danghong Technology, Skyworth Digital, etc. were the top gainers. The lodging and catering sectors were among the biggest losers, led by Xi’an Catering and Huatian Hotels. This content is original by China Business News, and the copyright belongs to China Business News. Without the written authorization of China Business News, it may not be used in any way, including reprinting, excerpting, duplicating or mirroring. Yicai reserves the right to pursue the legal responsibility of the infringer. For authorization, please contact the copyright department of Yicai: 021-22002972 or 021-22002335; [email protected] Share this:TwitterFacebook Related See also  JA Solar: The company purchases rolled photovoltaic glass for modules from Flat, but does not involve cell procurement | Daily Economic News artificial intelligenceFermentationfoodHanvon TechnologyStay 0 comment 0 FacebookTwitterEmail previous post HomePod 2 out of the box｜The sound of the 2nd generation is better than the 1st generation? Stereo combined Atmos effect comparable to Soundbar? 5 major new features in one article | Headline Daily next post The domestic game “Black Cotton: Wu Neng” is released, and players who are early adopters are miserable: there are too many bugs. 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Sector bull and bear list: The concept of artificial intelligence AIGC continues to ferment, and the accommodation and catering sector is the largest decliner-breakinglatest.news-Breaking Latest News
Sector bull bear list: The concept artificial intelligence AIGC continues ferment, accommodation catering sector largest declinerbreakinglatest.newsBreaking Latest News Home Business Entertainment Health News Sports World Technology Home Business Sector bull bear list: The concept artificial intelligence AIGC continues ferment, accommodation catering sector largest decliner Business Sector bull bear list: The concept artificial intelligence AIGC continues ferment, accommodation catering sector largest decliner admin February 1, 2023 February 1, 2023 Share WeChat Open WeChat, click Discovery bottom,Use scan share web Moments. China Business News 20230201 12:37:47 Editor charge: Hao Yunying Tencent released AIGC development trend report. The concept artificial intelligence robotics continued active early trading. Both shares, TechLong 4th board, Hanvon Technology 3rd board, Saiwei Smart surged 20, Danghong Technology, Skyworth Digital, etc. gainers. The lodging catering sectors biggest losers, led Xian Catering Huatian Hotels. Sector bull bear list: The concept artificial intelligence AIGC continues ferment, accommodation catering sector largest decliner Tencent released AIGC development trend report. The concept artificial intelligence robotics continued active early trading. Both shares, TechLong 4th board, Hanvon Technology 3rd board, Saiwei Smart surged 20, Danghong Technology, Skyworth Digital, etc. gainers. The lodging catering sectors biggest losers, led Xian Catering Huatian Hotels. This content original China Business News, copyright belongs China Business News. Without written authorization China Business News, way, including reprinting, excerpting, duplicating mirroring. Yicai reserves right pursue legal responsibility infringer. For authorization, contact copyright department Yicai: 02122002972 02122002335; [emailprotected] Share this:TwitterFacebook Related See JA Solar: The company purchases rolled photovoltaic glass modules Flat, involve cell procurement Daily Economic News artificial intelligenceFermentationfoodHanvon TechnologyStay 0 comment 0 FacebookTwitterEmail previous post HomePod 2 boxThe sound 2nd generation better 1st generation? Stereo combined Atmos effect comparable Soundbar? 5 major new features article Headline Daily post The domestic game Black Cotton: Wu Neng released, players early adopters miserable: bugs. You like Caution awaiting central banks, Piazza Affari closes at... February 1, 2023 Li Keqiang: Only economy good... February 1, 2023 The car market the... February 1, 2023 The wedding tourism business exceeds prepandemic value February 1, 2023 Zhang Yaoxi: Inflation regeneration slows basis, gold... February 1, 2023 Alpitour World partner Egizio Turin February 1, 2023 Ma Yun sees richest man Thailand... February 1, 2023 A nightmare year Norwegian sovereign wealth... February 1, 2023 World Warcraft games been... February 1, 2023 Usa: manufacturing ISM 47.4 points in... February 1, 2023 Leave Comment Cancel Reply Save name, email, website browser time I comment. This site uses Akismet reduce spam. Learn comment data processed. World Today News news Web Hosting dentist bacau Cosplay Nouvelles Les Actualites Nachrichten Germanic News Noticias Espanol news directory Memesita Online toys Fresh Store Online Sales Tele archives Live Feeds news list net archives uk news archyves News today archy news Sport News Rusia News world news Madalina Ghenea Viral Time Book Store Online japan news America mall online Follow Me Follow Me Recent Posts fault Alpine skiing. Goggia, Shiffrin speed blues train Volata Falcade Caution awaiting central banks, Piazza Affari closes 0.4 The strength ecosystem: Samsung presents Galaxy S23 Galaxy Book3 mobile PCs Interview Lourdes documentary writer Sixtine LeonDufour Tags1 apple beijing charm Xian China chronicle chronicle 20nera cnBeta company competition Contest coronavirus coronavirus disease covid culture Economy engines epidemic Epoch Times Fast Technology game market milan Movie nba news Original news Player promote Xian Riccardo Luna russia salute Xian technology The Epoch Times Ukraine UkraineRussia crisis United States vaccine vaccines work Xian Xian Daily official website Xian News Network xi jinping 2021 Hosted byByohostingMost Recommended Web Hosting complains, abuse, advertising contact:o f f c e Facebook Twitter Instagram Youtube Notice Disclaimer Hosted byByohosting Home Business Entertainment Health News Sports World Technology This website uses cookies improve experience. Well assume youre ok this, optout wish. Accept Read More Privacy Policy
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https://www.breakinglatest.news/technology/google-brings-chatgpt-rival-bard-to-germany/
2023-07-16T00:00:00
en
Google brings ChatGPT rival "Bard" to Germany - Breaking Latest News
Google brings ChatGPT rival "Bard" to Germany - Breaking Latest News Homepage News Business Entertainment Health Sports Technology World Search Home » Google brings ChatGPT rival “Bard” to Germany Technology Google brings ChatGPT rival “Bard” to Germany by admin July 16, 2023 July 16, 2023 62 By Adrian Mühlroth | Jul 13, 2023 at 2:13 p.m Google was literally overwhelmed with ChatGPT, because the software giant was suddenly confronted with serious competition for its search engine. Now the company is looking for an answer. Microsoft’s new Bing search including chatbot has long since started and is available to more and more users. Google’s rival “Bard” has also been available since February 2023, but was previously only accessible to a limited group of beta testers. The company has now announced that it will open the AI ​​to all users. Google Bard now available in the EU Google announced on Bard’s update page that the chatbot is now also available in the 27 EU countries and for the first time in German. Like the GPT-based chatbots ChatGPT and Bing, the Google AI uses natural language to answer questions formulated by users in a dialog-based manner. The results are often more precise and comprehensive than those of a search engine. Starting now, users in the EU can sign up at bard.google.com to try the chatbot. To use it, you only need to log in with a Google account. A little fun fact: Bard helped write the announcement on Google’s keyword blog. Tasked with providing a closing for the article, the AI ​​wrote, “Thanks for reading and, as always, don’t forget to stay hydrated and eat your veggies. See you next time, Bard Ende.” While the chatbot may have meant well, it certainly wasn’t the response Google employees were hoping for. TECHBOOK hates the Google Bard entry test Fully testing the capabilities of a chatbot like Google Bard is hardly practical. TECHBOOK has therefore randomly tested how precisely and conscientiously the bot answers questions – and whether it makes spelling mistakes. Since Bard is only now available in German, there could well be problems here. In addition to general questions, TECHBOOK also examined how good Bard really is at writing programming code himself – a feature that Google promotes heavily. “Hi Bard, do you know TECHBOOK.de?” The first question we asked Bard was “Do you know TECHBOOK.de?”. The chatbot found out at least a few facts correctly, for example that we are based in Berlin and belong to Axel Springer GmbH. The summary that we write “about current events in the technology industry, tests of new products and advice on various topics related to technology” is also quite accurate. The only thing Bard missed by far was our start date of 2012. See also  Nintendo Switch's Tears of the Kingdom Dominates Boxed Physical Sales ChartsOf course, we were also interested in whether Google Bard thinks it’s better than ChatGPT. In fact, the answer seems quite reflected: “ChatGPT is a generative pre-trained transformer model, while I am a factual language model.” According to Bard, this means that ChatGPT “is better at generating creative text, like poetry, code, scripts, pieces of music “. The Google chatbot itself, on the other hand, is “better at it […]summarize factual topics or answer questions.” Google Bard writes programming code for TECHBOOK Of course, we wanted to prove this claim. First, we tried to get Bard to write us compilable code for the classic game “Pong”. Unfortunately, this did not work even after several attempts in different programming languages, since so-called libraries – i.e. code databases – are required to execute the code. Still, the code itself seems fine, at least online code compilers couldn’t always find errors. Still, Bard should spit out some kind of usable code. In the next attempt, TECHBOOK therefore commissioned the chatbot in a first step to display the population development in the EU over the past ten years. The bot was able to find the data quickly and reliably – and even presented it in a clear table. We could have opened this directly in Excel, but we wanted something more. We asked Google Bard to write code that would create a line curve graph from the displayed data. After several attempts and testing with the various designs that Bard offers, it actually worked in the end. With HTML JavaScript code we got a usable graphic with the population development in the EU: Google Bard wrote code in HTML javascript for TECHBOOKPhoto: TECHBOOK See also  Checking Out the Binbok Doyoky: A New Alternative to Nintendo's Joy-ConsHere is the entire conversation TECHBOOK had with Google Bard: TECHBOOK meint “Although Bard has only just learned German, the chatbot had no problems understanding our commands and answering them largely error-free. Sure, commas were missing here and there, but overall the bot has a good understanding of the German language. But what impressed me was the ability to create code. This means that even novice programmers can get useful code quickly and easily. Bard’s additional drafts, which are created with each answer, are also helpful for this. If there’s a problem with a version, there might be something useful to be found in the drafts.” – Adrian Mühlroth, editor Strong competition from ChatGPT and Bing Faced with growing competition from AI chatbots, the company brought founders Sergey Brin and Larry Page back on board to rethink its own strategy. Shortly after it became known that Microsoft’s new Bing search is also based on AI, CEO Sundar Pichai announced his rival Bard. The company has been working on AI-supported systems with Google AI and DeepMind for years. So far, however, these have not been accessible to the public. In 2021, Google presented the first generation of its neural language model LaMDA (Language Model for Dialogue Applications). The chatbot Bard should make use of this model and be able to answer user questions in a natural, dialog-oriented way. Unlike earlier versions of ChatGPT, however, Bard can access information from the Internet and thus also deal with current topics. The AI ​​is thus in direct competition with Microsoft’s new Bing search, which is based on the GPT-4 language model and can also access the Internet. See also  [There is a film]8K version of Zelda ultra-detailed image quality uses NVIDIA RTX 4090 to add ray tracingMore AI features are coming to Google search The company is also announcing new AI-powered Google Search features. These should be able to break down “complex information from multiple perspectives into easy-to-digest formats”. As an example, Pichai cites the question of whether “piano or guitar is easier to learn” and which takes more practice. These features will soon be available to Google Search users. Sources Share this:TwitterFacebook Related 0 comment 0 FacebookTwitterEmail previous post Migrant caravan advances in Mexico towards the US next post SBK, TGPone Imola: Bautista dominates, Iannone burns with passion for SBK You may also like Climate crisis: massive fires in Saxony-Anhalt – hundreds... 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Google brings ChatGPT rival "Bard" to Germany
Google brings ChatGPT rival Bard Germany Breaking Latest News Home News Business Entertainment Health Sports Technology World Home Google brings ChatGPT rival Bard Germany Technology Google brings ChatGPT rival Bard Germany admin July 16, 2023 July 16, 2023 62 By Adrian Mhlroth Jul 13, 2023 2:13 p.m Google literally overwhelmed ChatGPT, software giant suddenly confronted competition search engine. Now company looking answer. Microsofts new Bing search including chatbot long started available users. Googles rival Bard available February 2023, previously accessible limited group beta testers. The company announced open AI users. Google Bard available EU Google announced Bards update chatbot available 27 EU countries time German. Like GPTbased chatbots ChatGPT Bing, Google AI uses natural language answer questions formulated users dialogbased manner. The results precise comprehensive search engine. Starting now, users EU sign bard. try chatbot. To use it, need log Google account. A little fun fact: Bard helped write announcement Googles keyword blog. Tasked providing closing article, AI wrote, Thanks reading and, always, dont forget stay hydrated eat veggies. See time, Bard Ende. While chatbot meant well, certainly wasnt response Google employees hoping for. TECHBOOK hates Google Bard entry test Fully testing capabilities chatbot like Google Bard hardly practical. TECHBOOK randomly tested precisely conscientiously bot answers questions makes spelling mistakes. Since Bard available German, problems here. In addition general questions, TECHBOOK examined good Bard writing programming code feature Google promotes heavily. Hi Bard, know TECHBOOK.de? The question asked Bard Do know TECHBOOK.de?. The chatbot facts correctly, example based Berlin belong Axel Springer GmbH. The summary write current events technology industry, tests new products advice topics related technology accurate. The thing Bard missed far start date 2012. See Nintendo Switchs Tears Kingdom Dominates Boxed Physical Sales ChartsOf course, interested Google Bard thinks better ChatGPT. In fact, answer reflected: ChatGPT generative pretrained transformer model, I factual language model. According Bard, means ChatGPT better generating creative text, like poetry, code, scripts, pieces music . The Google chatbot itself, hand, better []summarize factual topics answer questions. Google Bard writes programming code TECHBOOK Of course, wanted prove claim. First, tried Bard write compilable code classic game Pong. Unfortunately, work attempts different programming languages, socalled libraries i.e. code databases required execute code. Still, code fine, online code compilers errors. Still, Bard spit kind usable code. In attempt, TECHBOOK commissioned chatbot step display population development EU past years. The bot able data quickly reliably presented clear table. We opened directly Excel, wanted more. We asked Google Bard write code create line curve graph displayed data. After attempts testing designs Bard offers, actually worked end. With HTML JavaScript code got usable graphic population development EU: Google Bard wrote code HTML javascript TECHBOOKPhoto: TECHBOOK See Checking Out Binbok Doyoky: A New Alternative Nintendos JoyConsHere entire conversation TECHBOOK Google Bard: TECHBOOK meint Although Bard learned German, chatbot problems understanding commands answering largely errorfree. Sure, commas missing there, overall bot good understanding German language. But impressed ability create code. This means novice programmers useful code quickly easily. Bards additional drafts, created answer, helpful this. If theres problem version, useful drafts. Adrian Mhlroth, editor Strong competition ChatGPT Bing Faced growing competition AI chatbots, company brought founders Sergey Brin Larry Page board rethink strategy. Shortly known Microsofts new Bing search based AI, CEO Sundar Pichai announced rival Bard. The company working AIsupported systems Google AI DeepMind years. So far, however, accessible public. In 2021, Google presented generation neural language model LaMDA Language Model Dialogue Applications. The chatbot Bard use model able answer user questions natural, dialogoriented way. Unlike earlier versions ChatGPT, however, Bard access information Internet deal current topics. The AI direct competition Microsofts new Bing search, based GPT4 language model access Internet. See [There film]8K version Zelda ultradetailed image quality uses NVIDIA RTX 4090 add ray tracingMore AI features coming Google search The company announcing new AIpowered Google features. These able break complex information multiple perspectives easytodigest formats. As example, Pichai cites question piano guitar easier learn takes practice. These features soon available Google users. 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