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https://theenterpriseleader.com/2023/04/01/ses-ai-ses-vs-its-rivals-critical-survey.html
| 2023-04-01T00:00:00 |
en
|
SES AI (SES) vs. Its Rivals Critical Survey - Enterprise Leader
|
SES AI (SES) vs. Its Rivals Critical Survey - Enterprise Leader
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SES AI (SES) vs. Its Rivals Critical Survey
Posted by Marion Hillson on Apr 1st, 2023
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SES AI (NYSE:SES – Get Rating) is one of 61 public companies in the “Miscellaneous electrical machinery, equipment, & supplies” industry, but how does it weigh in compared to its peers? We will compare SES AI to related businesses based on the strength of its dividends, profitability, risk, earnings, institutional ownership, valuation and analyst recommendations.
Profitability
This table compares SES AI and its peers’ net margins, return on equity and return on assets.
Get SES AI alerts:
Net Margins
Return on Equity
Return on Assets
SES AI
N/A
-11.86%
-10.41%
SES AI Competitors
-85.31%
-121.72%
-18.97%
Earnings and Valuation
This table compares SES AI and its peers gross revenue, earnings per share and valuation.
Gross Revenue
Net Income
Price/Earnings Ratio
SES AI
N/A
-$50.99 million
-14.75
SES AI Competitors
$687.03 million
$11.54 million
4.09
SES AI’s peers have higher revenue and earnings than SES AI. SES AI is trading at a lower price-to-earnings ratio than its peers, indicating that it is currently more affordable than other companies in its industry.
Volatility and Risk
SES AI has a beta of 2.4, meaning that its share price is 140% more volatile than the S&P 500. Comparatively, SES AI’s peers have a beta of 0.58, meaning that their average share price is 42% less volatile than the S&P 500.
Institutional and Insider Ownership
27.4% of SES AI shares are held by institutional investors. Comparatively, 43.6% of shares of all “Miscellaneous electrical machinery, equipment, & supplies” companies are held by institutional investors. 12.3% of SES AI shares are held by insiders. Comparatively, 14.8% of shares of all “Miscellaneous electrical machinery, equipment, & supplies” companies are held by insiders. Strong institutional ownership is an indication that hedge funds, endowments and large money managers believe a stock is poised for long-term growth.
Analyst Ratings
This is a breakdown of recent ratings and target prices for SES AI and its peers, as reported by MarketBeat.com.
Sell Ratings
Hold Ratings
Buy Ratings
Strong Buy Ratings
Rating Score
SES AI
0
3
0
0
2.00
SES AI Competitors
74
462
999
51
2.65
SES AI currently has a consensus price target of $4.00, suggesting a potential upside of 35.59%. As a group, “Miscellaneous electrical machinery, equipment, & supplies” companies have a potential upside of 32.73%. Given SES AI’s higher possible upside, equities analysts clearly believe SES AI is more favorable than its peers.
Summary
SES AI peers beat SES AI on 7 of the 12 factors compared.
SES AI Company Profile
(Get Rating)
SES AI Corporation engages in the development and production of high-performance Lithium-metal rechargeable batteries for electric vehicles and other applications. The company was founded in 2012 and is headquartered in Boston, Massachusetts.
Receive News & Ratings for SES AI Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for SES AI and related companies with MarketBeat.com's FREE daily email newsletter.
« PREVIOUS HEADLINEENAGAS S A/ADR (OTCMKTS:ENGGY) Receives Consensus Rating of “Hold” from Brokerages NEXT HEADLINE »Trupanion (NASDAQ:TRUP) PT Lowered to $65.00
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Daily Ratings & News for SES AI
Complete the form below to receive the latest headlines and analysts' recommendations for SES AI with our free daily email newsletter:
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SES AI (SES) vs. Its Rivals Critical Survey
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SES AI SES vs. Its Rivals Critical Survey Enterprise Leader Skip main content Home About Business Economy Health Markets Technology Home About Business Economy Health Markets Technology SES AI SES vs. Its Rivals Critical Survey Posted Marion Hillson Apr 1st, 2023 Share Twitter Share Facebook Share LinkedIn Share Stocktwits SES AI NYSE:SES Get Rating 61 public companies Miscellaneous electrical machinery, equipment, supplies industry, weigh compared peers? We compare SES AI related businesses based strength dividends, profitability, risk, earnings, institutional ownership, valuation analyst recommendations. Profitability This table compares SES AI peers net margins, return equity return assets. Get SES AI alerts: Net Margins Return Equity Return Assets SES AI NA 11.86 10.41 SES AI Competitors 85.31 121.72 18.97 Earnings Valuation This table compares SES AI peers gross revenue, earnings share valuation. Gross Revenue Net ome PriceEarnings Ratio SES AI NA 50.99 million 14.75 SES AI Competitors 687.03 million 11.54 million 4.09 SES AIs peers higher revenue earnings SES AI. SES AI trading lower pricetoearnings ratio peers, indicating currently affordable companies industry. Volatility Risk SES AI beta 2.4, meaning share price 140 volatile SP 500. Comparatively, SES AIs peers beta 0.58, meaning average share price 42 volatile SP 500. Institutional Insider Ownership 27.4 SES AI shares held institutional investors. Comparatively, 43.6 shares Miscellaneous electrical machinery, equipment, supplies companies held institutional investors. 12.3 SES AI shares held insiders. Comparatively, 14.8 shares Miscellaneous electrical machinery, equipment, supplies companies held insiders. Strong institutional ownership indication hedge funds, endowments large money managers believe stock poised longterm growth. Analyst Ratings This breakdown recent ratings target prices SES AI peers, reported . Sell Ratings Hold Ratings Buy Ratings Strong Buy Ratings Rating Score SES AI 0 3 0 0 2.00 SES AI Competitors 74 462 999 51 2.65 SES AI currently consensus price target 4.00, suggesting potential upside 35.59. As group, Miscellaneous electrical machinery, equipment, supplies companies potential upside 32.73. Given SES AIs higher possible upside, equities analysts clearly believe SES AI favorable peers. Summary SES AI peers beat SES AI 7 12 factors compared. SES AI Company Profile Get Rating SES AI Corporation engages development production highperformance Lithiummetal rechargeable batteries electric vehicles applications. The company founded 2012 headquartered Boston, Massachusetts. Receive News Ratings SES AI Daily Enter email address receive concise daily summary latest news analysts ratings SES AI related companies FREE daily email newsletter. PREVIOUS HEADLINEENAGAS S AADR OTCMKTS:ENGGY Receives Consensus Rating Hold Brokerages NEXT HEADLINE Trupanion NASDAQ:TRUP PT Lowered 65.00 You interested in: ENDRA Life Sciences Buy Rating Reaffirmed HC Wainwright Deutsche Lufthansa PT Set 14.50 Deutsche Bank Aktiengesellschaft adidas Given 143.40 Price Target UBS Group Analysts SAFHolland Given 24.00 Price Target Hauck Aufhuser Investment Banking Unicycive Therapeutics Given Buy Rating EF Hutton Acquisition Co. I SAFHolland Given 14.00 Price Target Deutsche Bank Aktiengesellschaft Daily Ratings News SES AI Complete form receive latest headlines analysts recommendations SES AI free daily email newsletter: Follow Recent News ENDRA Life Sciences NDRA Buy Rating Reaffirmed HC Wainwright Deutsche Lufthansa ETR:LHA PT Set 14.50 Deutsche Bank Aktiengesellschaft adidas FRA:ADS Given 143.40 Price Target UBS Group Analysts SAFHolland ETR:SFQ Given 24.00 Price Target Hauck Aufhuser Investment Banking Unicycive Therapeutics NASDAQ:UNCY Given Buy Rating EF Hutton Acquisition Co. I SAFHolland ETR:SFQ Given 14.00 Price Target Deutsche Bank Aktiengesellschaft Porsche Automobil ETR:PAH3 Given 58.00 Price Target Barclays Nordea Equity Research Lowers Schibsted ASA OTCMKTS:SBBTF Hold AvalonBay Communities NYSE:AVB Receives New Coverage Analysts Wells Fargo Company Healthcare Realty Trust NYSE:HR PT Lowered 24.00 Barclays Enbridge NYSE:ENB Rating reased Neutral Credit Suisse Group Palfinger AG Announces Dividend 0.58 OTCMKTS:PLFRY IGM Biosciences NASDAQ:IGMS Releases Quarterly Earnings Results, Beats Estimates By 0.34 EPS Short Interest Algoma Steel Group . NASDAQ:ASTL Drops By 10.8 Cantor Fitzgerald Raises IntraCellular Therapies NASDAQ:ITCI Price Target 87.00 Avangrid NYSE:AGR Price Target Cut 39.00 Analysts Mizuho Owens Minor NYSE:OMI Upgraded Installed Building Products NYSE:IBP Downgraded Begins Coverage Startek NYSE:SRT Genocea Biosciences NASDAQ:GNCA Earns Sell Rating Analysts Business Economy Health Markets Technology 20182023 Enterprise Leader
| 2,023 |
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https://thefederal.com/business/google-working-on-ai-app-to-create-images-through-text/
| 2022-11-03T00:00:00 |
en
|
Google working on AI app to create images through text
|
Google working on AI app to create images through text
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Google working on AI app to create images through text
The app will enable people to construct buildings through a function called “City Dreamer” and interact with a cartoon monster through the app’s “Wobble” feature
The Federal
2:39 PM, 3 November, 2022
0COMMENTS
Users will be able to use the tools through Google’s AI Test Kitchen App. The company has not yet revealed the release date for the same | Pic: iStock
Technology giant Google is working on an app that will use artificial intelligence (AI) to enable users to create images by typing a few words.
Google’s Principal scientist Douglas Eck at the company’s AI event in New York on Wednesday (November 2) said: “The app will enable people to do two things, construct buildings through a function called “City Dreamer” and interact with a cartoon monster through the app’s “Wobble” feature.
Also Read: ‘Committed to users,’ says Google after CCI’s second fine of ₹936.44 crore
Users will be able to use the tools through Google’s AI Test Kitchen App. The company has not yet revealed the release date for the same.
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Regarding Google’s slow rollout, Douglas Eck, said: “Generative AI models are powerful, there is no doubt about that. But we also have to consider the risks that this technology can pose if we do not take good care, which is why we have been slow to release them.”
At the event, Google also presented improvements with AI tools that help with coding and audio generation and a text creation program that authors can use to write short stories.
Also Read: Google on CCI order: ‘Major setback for Indian consumers’
Google plans to expand climate, health technology and have 1,000 languages in its translation services.
TAGSArtificial intelligence GoogleDouglas EckGoogle AI appGoogle AI text-to-videoGoogle App text to imageGoogle's Principal scientistGoogle's Prototype AI ToolGoogle’s AI Test Kitchen App
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https://thehackernews.com/2023/09/watch-webinar-ai-vs-ai-harnessing-ai.html
| 2023-09-26T00:00:00 |
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Webinar — AI vs. AI: Harnessing AI Defenses Against AI-Powered Risks
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Webinar — AI vs. AI: Harnessing AI Defenses Against AI-Powered Risks
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Webinar — AI vs. AI: Harnessing AI Defenses Against AI-Powered Risks
Sep 25, 2023The Hacker NewsArtificial Intelligence / Cybersecurity
Generative AI is a double-edged sword, if there ever was one. There is broad agreement that tools like ChatGPT are unleashing waves of productivity across the business, from IT, to customer experience, to engineering. That's on the one hand.
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Webinar AI vs. AI: Harnessing AI Defenses Against AIPowered Risks Webinar LevelUp SaaS Security: A Comprehensive Guide ITDR SSPM Save Your Seat 1 Trusted Cybersecurity News Platform Followed 4.50 million Get Free Newsletter Home Newsletter Webinars Home Data Breaches Cyber Attacks Vulnerabilities Webinars Store Resources Webinars THN Store Free eBooks About Site About THN Jobs Advertise Tip Us Reach featuredcontact send exclusive story idea, research, hacks, ask question leave commentfeedback On Social Media RSS Feeds Email Alerts Telegram Channel Webinar AI vs. AI: Harnessing AI Defenses Against AIPowered Risks Sep 25, 2023The Hacker NewsArtificial Intelligence Cybersecurity Generative AI doubleedged sword, one. There broad agreement tools like ChatGPT unleashing waves productivity business, IT, customer experience, engineering. Thats hand. On end fencing match: risk. From IP leakage data privacy risks empowering cybercriminals AI tools, generative AI presents enterprises concrete concerns. For example, mass availability AI tools second mostreported Q2 risk senior enterprise risk executives appearing 10 time according Gartner survey. In escalating AI arms race, enterprises separate fact hype comprehensively manage generative AI risk accelerating productivity? join Zscalers Will Seaton, Product Marketing Manager, ThreatLabz, to: Uncover tangible risks generative AI employee AI usage threat actors benefiting increased speed, sophistication, scale attacks enabled gen AI. Learn Zscaler approached internal AI tool controls. Discover AIpowered innovation like Zscalers AIpowered Cloud Sandbox MLdriven automatic data classification help secure enterprise unknown AIenabled threats prevent data leaked exfiltrated. See powerful new AIbased tools like Zscaler Risk360 enable visualize, quantify, remediate cybersecurity risk comprehensively, quantifying financial impact security efforts. UPCOMING WEBINARAI vs. AI: Harnessing AI Defenses Against AIPowered RisksReady tackle new AIdriven cybersecurity challenges? Join insightful webinar Zscaler address growing threat generative AI cybersecurity.Reserve Your Spot Why Attend? This time youve heard generative AI far experts prompt engineering. However, fantastic opportunity learn new insights organization AI ML innovation core competency platform years. Cut AI hype glean insights worlds largest security cloud worldclass threat research organization, ThreatLabz. Benefit practical, grounded best practices secure workforce, including cloud application controls, browser isolation, DLP policy secure AI applications unleashing potential generative AI. Learn AIdriven innovation help comprehensively quantifiably manage enterprise risk, shrink attack surface, gain prioritized, actionable steps measurably improve security posture, quantify financial impact security improvements, more. Look new upcoming AIpowered innovation Zscaler, including products like Risk360, Multimodal DLP, Zscaler Security Autopilot Breach Prediction. Tap security expertise learn AIpowered innovation Zscaler help unleash potential generative AI, keeping data, applications, users secure. webinar October 2nd. Found article interesting? Follow Twitter LinkedIn read exclusive content post. 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| 2,023 |
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] | 1 | 5,129 |
https://thehill.com/policy/technology/3901339-openai-beginning-to-release-multimodal-gpt-4/
| 2023-03-15T00:00:00 |
en
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OpenAI beginning to release ‘multimodal’ GPT-4 | The Hill
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OpenAI beginning to release ‘multimodal’ GPT-4 | The Hill
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OpenAI beginning to release ‘multimodal’ GPT-4
by Olafimihan Oshin - 03/15/23 12:28 PM ET
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FILE – The logo for OpenAI, the maker of ChatGPT, appears on a mobile phone, in New York, Tuesday, Jan. 31, 2023. (AP Photo/Richard Drew, File)
OpenAI, the company behind the popular ChatGPT tool, has announced plans to release its new artificial intelligence tool called the GPT-4.
In a blog post published Wednesday, OpenAI said its latest technology tool, trained by its cloud computing platform Azure, is a large multimodal model, meaning that images and text prompts can be used to generate content.
It said the new tool passed a simulated bar exam with a score around the top 10 percent of test takers. In comparison, OpenAI’s previous GPT version, GPT-3.5, scored around the bottom 10 percent in the bar exam. GPT-4 also performed at the 93rd percentile on an SAT reading exam and at the 89th percentile on an SAT Math exam.
“We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails,” OpenAI said in its blog post.
The company also said that ChatGPT Plus subscribers will be able to access the GPT-4 tool through its website with a usage cap, saying it will adjust depending on demand and system performance.
“Depending on the traffic patterns we see, we may introduce a new subscription level for higher-volume GPT-4 usage; we also hope at some point to offer some amount of free GPT-4 queries so those without a subscription can try it too,” OpenAi said in its news release.
The news comes as Microsoft announced last month that its new premium messaging service, Teams Premium, will be powered by Open AI’s ChatGPT messaging service.
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Microsoft also announced that it will invest billions of dollars in OpenAI in part of a third phase of a partnership between the two companies.
OpenAI’s ChatGPT launched in November as a free tool that automatically generates human-like responses to users’ queries.
The new technology has raised concerns among many parents and educators, with some saying that students may have used ChatGPT to cheat on assignments, resulting in school districts such in New York City and Seattle banning the tool.
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OpenAI beginning release multimodal GPT4 The Hill Skip content Toggle Menu Open Navigation Close Navigation Close search form News Senate House Administration Campaign Regulation Lobbying Media Briefing Room Latino State Watch In The Know Sunday Talk Shows Changing America People News Print Edition Policy Defense Energy Environment Healthcare Technology Transportation International Cybersecurity National Security Space Sustainability Business All business news Budget Economy Personal finance Housing Lobbying Taxes Trade Opinion Columnists Congress Blog All Contributors Campaign Civil Rights Criminal Justice Cybersecurity Education Energy Environment Finance Healthcare Immigration International Judiciary National Security Technology White House Submit Opinion Content Events Upcoming Events About Jobs The Hill Jobs National Jobs THE HILL TV Newsletters Sign Morning Report 12:30 Report Business Economy Defense Health Care Campaign Report Technology Energy Environment Sustainability Sign latest Newsletter Sign Up trendingcolon; RussiaUkraine war Social Security Donald Trump sponsoredcolon; Content IASIC cannabis Content SourceAmerica Just In... Paxlovid safe, effective doesnt cause rebound, FDA says Healthcare 25m 26s ago The Hills 12:30 Report Dow, SP, Nasdaq amid banking turmoil 12:30 Report 29m ago Watch live: Biden delivers remarks cost prescription drugs News 29m ago Are Russians dizzy success? Putin believe International 29m ago OpenAI beginning release multimodal GPT4 Technology 30m 37s ago Blinken announces 331M humanitarian aid Ethiopia International 30m 56s ago Trumpallied super PAC files ethics complaint DeSantis shadow presidential campaign Campaign 31m 31s ago New York doctor uses firefighter training save family 14 Prevention Cures 33m 59s ago View Load Technology OpenAI beginning release multimodal GPT4 Olafimihan Oshin 031523 12:28 PM ET Facebook Share Twitter Tweet ... More Olafimihan Oshin 031523 12:28 PM ET Facebook Share Twitter Tweet ... More Share Twitter > Twitter Facebook Facebook LinkedIn LinkedIn Whatsapp Whatsapp Email Email FILE The logo OpenAI, maker ChatGPT, appears mobile phone, New York, Tuesday, Jan. 31, 2023. AP PhotoRichard Drew, File OpenAI, company popular ChatGPT tool, announced plans release new artificial intelligence tool called GPT4. In blog post published Wednesday, OpenAI said latest technology tool, trained cloud computing platform Azure, large multimodal model, meaning images text prompts generate content. It said new tool passed simulated bar exam score 10 percent test takers.In comparison, OpenAIs previous GPT version, GPT3.5, scored 10 percent bar exam. GPT4 performed 93rd percentile SAT reading exam 89th percentile SAT Math exam. Weve spent 6 months iteratively aligning GPT4 lessons adversarial testing program ChatGPT, resulting bestever results far perfect factuality, steerability, refusing outside guardrails, OpenAI said blog post. The company said ChatGPT Plus subscribers able access GPT4 tool website usage cap, saying adjust depending demand performance. Depending traffic patterns see, introduce new subscription level highervolume GPT4 usage; hope point offer free GPT4 queries subscription try too, OpenAi said news release. The news comes Microsoft announced month new premium messaging service, Teams Premium, powered Open AIs ChatGPT messaging service. Paxlovid safe, effective doesnt cause rebound, FDA says Tens thousands power noreaster dumps snow northeast US Microsoft announced invest billions dollars OpenAI phase partnership companies. OpenAIs ChatGPT launched November free tool automatically generates humanlike responses users queries. The new technology raised concerns parents educators, saying students ChatGPT cheat assignments, resulting school districts New York City Seattle banning tool. Tags Artificial Intelligence ChatGPT ChatGPT GPT4 GPT4 Microsoft OpenAI OpenAI OpenAI 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. Facebook Share Twitter Tweet ... More Share Twitter > Twitter Facebook Facebook LinkedIn LinkedIn Whatsapp Whatsapp Email Email More Technology News See All News United Airlines wants turn algae jet fuel 1 hour ago News 1 hour ago Business Warren, Porter unveil undo Trumpera DoddFrank rollback Silicon Valley Bank collapse Sylvan Lane 4 hours ago Business 4 hours ago Technology Senators question Pinterest practices remove sexually suggestive content harmful young users Julia Mueller 23 hours ago Technology 23 hours ago State Watch Tennessee Lt. 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] | 1 | 5,130 |
https://thejapanherald.com/international/178834/renal-dilator-market-swot-analysis-competitive-landscape-and-massive-growth-2021-abbott-vascular-bard-medical-boston-scientific/
| 2021-12-07T00:00:00 |
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Renal Dilator Market SWOT Analysis, Competitive Landscape and Massive Growth 2021 | Abbott Vascular, Bard Medical, Boston Scientific – The Japan Herald
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Renal Dilator Market SWOT Analysis, Competitive Landscape and Massive Growth 2021 | Abbott Vascular, Bard Medical, Boston Scientific – The Japan Herald
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HomeInternationalRenal Dilator Market SWOT Analysis, Competitive Landscape and Massive Growth 2021 | Abbott Vascular, Bard Medical, Boston Scientific
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Renal Dilator Market SWOT Analysis, Competitive Landscape and Massive Growth 2021 | Abbott Vascular, Bard Medical, Boston Scientific
4 min read
1 second ago
reporthive
“
The global Renal Dilator market highlights industry and market information, technologies, and dominant player, industry trends and latest market developments. After in-depth research and analysis by consultants, research analyst, they also revealed the data on major key companies that contribute to the growth and expansion of the market and challenge each other in terms of demand, supply, and production, estimation of CAGR value, revenue and sales.
The business procedures referenced in the report are fully broken down by item type, driving players, application, and general regions. The report consists of a comprehensive analysis of the market that will help clients to gain knowledge of the market and use it for business purposes. This report provides clients with historically data (2016-2020) and forecast data (2021-2026). In addition, the report includes a summary of the aspects that are likely to slow the growth of the industry in the coming years.
>>> Get Sample PDF Copy
https://www.reporthive.com/request_sample/2948082
Key Companies Profiled in the Report:
Abbott Vascular
Bard Medical
Boston Scientific
Olympus
Angiodynamics
Medgyn
KLS Martin
Cordis
FASA GROUP
Getein Biotech
Thomas Medical
Health Edco
HeineScientific®
Panpac Medical
Pauldrach Medical
Pelican Feminine Healthcare
Richard Wolf
ROCAMED
Cook
Additionally, the Covid-19 Pandemic Update Market Report on Global Renal Dilator provides the market study for the evaluated prediction period. The research methodology is essential for the evaluation and measurement of market growth. The study covers the complete analysis of the sections that are covered in the market in general. In addition, the study covers the obstacles and control factors that are present in the market. Detailed analysis is underway to determine market growth for the estimated forecast period. Furthermore, the growth factors of the Covid-19 Pandemic Update on Global Renal Dilator market are also being investigated for the broader market.
Segmental Analysis
The report has classified the global Renal Dilator industry into segments including product type and application. Every segment is evaluated based on growth rate and share. Besides, the analysts have studied the potential regions that may prove rewarding for the Renal Dilator companies in the coming years. The regional analysis includes reliable predictions on value and volume, thereby helping market players to gain deep insights into the overall Renal Dilator industry.
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Research Methodology:
This research study involves the extensive usage of both primary and secondary data sources.
Market segmentation :
Renal Dilator Market, By Type–
Mental
Plastic
Renal Dilator Market, By Application–
Hospital
Clinic
Why buy a market analysis report on Renal Dilator?
: – Comprehensive and comfortable for our viewers to understand the market report Renal Dilator by offering in-depth information through in-depth analysis
: – The report includes a market scenario, a market structure, market constraints, a study statistics in a market-based market.
: – It allows tank buffer stainless steel key players to obtain informative data on market trends, upstream and downstream of the upcoming market.
: – Historical and futuristic information taken into account when running on the Renal Dilator types of products, applications and geographical areas
: – Detailed information on market classification, main opportunities and market developments, as well as on market restrictions and the major challenges facing the market.
: – Renal Dilator Report includes events associated with manufacturing and distribution networks, as well as cost analysis.
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Table of Contents
• Chapter 1: The report starts with an overview of the global Renal Dilator market and highlights of the research study.
• Chapter 2: Here, the report provides a detailed study of growth driving factors, market challenges, trends, and opportunities.
• Chapter 3: This chapter offers complete segmental analysis where product and application segments are analyzed in detail.
• Chapter 4: This section of the report deals with key regions and their potential for growth in the global Renal Dilator market.
• Chapter 5: Here, the report provides deep company profiling of leading players. This chapter also provides an extensive study of the competitive landscape.
• Chapter 6: Readers are provided with accurate forecasts of production and production value growth in the global Renal Dilator market.
• Chapter 7: The report also provides projections related to consumption in different regions and across the globe.
• Chapter 8: Here, the authors of the report have discussed about key sales channels and the industry value chain. This chapter also includes comprehensive customer and distributor analysis.
• Chapter 9: This part of the report sheds light on significant aspects of the global Renal Dilator market through Porter’s Five Forces analysis and PESTLE analysis.
• Chapter 10: Finally, the report concludes with a summary of important findings about the global Renal Dilator market.
Why Report Hive Research:
Report Hive Research delivers strategic market research reports, statistical surveys, industry analysis and forecast data on products and services, markets and companies. Our clientele ranges mix of global business leaders, government organizations, SME’s, individuals and Start-ups, top management consulting firms, universities, etc. Our library of 700,000 + reports targets high growth emerging markets in the USA, Europe Middle East, Africa, Asia Pacific covering industries like IT, Telecom, Semiconductor, Chemical, Healthcare, Pharmaceutical, Energy and Power, Manufacturing, Automotive and Transportation, Food and Beverages, etc.
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Tags: Renal Dilator Market Insights Renal Dilator Market Overview Renal Dilator Market Revenue Renal Dilator Market Share Renal Dilator Market Size Renal Dilator Market Trends
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Renal Dilator Market SWOT Analysis, Competitive Landscape and Massive Growth 2021
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Renal Dilator Market SWOT Analysis, Competitive Landscape Massive Growth 2021 Abbott Vascular, Bard Medical, Boston Scientific The Japan Herald Skip content December 7, 2021 The Japan Herald About Japan, Global Green Energy Space Market Primary Menu News Japan News Energy Electric vehicles Decarbonization Space Satellites Us for: HomeInternationalRenal Dilator Market SWOT Analysis, Competitive Landscape Massive Growth 2021 Abbott Vascular, Bard Medical, Boston Scientific International Japan News Markets Renal Dilator Market SWOT Analysis, Competitive Landscape Massive Growth 2021 Abbott Vascular, Bard Medical, Boston Scientific 4 min read 1 second ago reporthive The global Renal Dilator market highlights industry market information, technologies, dominant player, industry trends latest market developments. After indepth research analysis consultants, research analyst, revealed data major key companies contribute growth expansion market challenge terms demand, supply, production, estimation CAGR value, revenue sales. The business procedures referenced report fully broken item type, driving players, application, general regions. The report consists comprehensive analysis market help clients gain knowledge market use business purposes. This report provides clients historically data 20162020 forecast data 20212026. In addition, report includes summary aspects likely slow growth industry coming years. >>> Get Sample PDF Copy Key Companies Profiled Report: Abbott Vascular Bard Medical Boston Scientific Olympus Angiodynamics Medgyn KLS Martin Cordis FASA GROUP Getein Biotech Thomas Medical Health Edco HeineScientific Panpac Medical Pauldrach Medical Pelican Feminine Healthcare Richard Wolf ROCAMED Cook Additionally, Covid19 Pandemic Update Market Report Global Renal Dilator provides market study evaluated prediction period. The research methodology essential evaluation measurement market growth. The study covers complete analysis sections covered market general. In addition, study covers obstacles control factors present market. Detailed analysis underway determine market growth estimated forecast period. Furthermore, growth factors Covid19 Pandemic Update Global Renal Dilator market investigated broader market. Segmental Analysis The report classified global Renal Dilator industry segments including product type application. Every segment evaluated based growth rate share. Besides, analysts studied potential regions prove rewarding Renal Dilator companies coming years. The regional analysis includes reliable predictions value volume, helping market players gain deep insights overall Renal Dilator industry. >> Get Upto 20 Discount Use Coupon Code:RHR20 @ Research Methodology: This research study involves extensive usage primary secondary data sources. Market segmentation : Renal Dilator Market, By Type Mental Plastic Renal Dilator Market, By Application Hospital Clinic Why buy market analysis report Renal Dilator? : Comprehensive comfortable viewers understand market report Renal Dilator offering indepth information indepth analysis : The report includes market scenario, market structure, market constraints, study statistics marketbased market. : It allows tank buffer stainless steel key players obtain informative data market trends, upstream downstream upcoming market. : Historical futuristic information taken account running Renal Dilator types products, applications geographical areas : Detailed information market classification, main opportunities market developments, market restrictions major challenges facing market. : Renal Dilator Report includes events associated manufacturing distribution networks, cost analysis. >>>> For customization, connect @ Table Contents Chapter 1: The report starts overview global Renal Dilator market highlights research study. Chapter 2: Here, report provides detailed study growth driving factors, market challenges, trends, opportunities. Chapter 3: This chapter offers complete segmental analysis product application segments analyzed detail. Chapter 4: This section report deals key regions potential growth global Renal Dilator market. Chapter 5: Here, report provides deep company profiling leading players. This chapter provides extensive study competitive landscape. Chapter 6: Readers provided accurate forecasts production production value growth global Renal Dilator market. Chapter 7: The report provides projections related consumption different regions globe. Chapter 8: Here, authors report discussed key sales channels industry value chain. This chapter includes comprehensive customer distributor analysis. Chapter 9: This report sheds light significant aspects global Renal Dilator market Porters Five Forces analysis PESTLE analysis. Chapter 10: Finally, report concludes summary important findings global Renal Dilator market. Why Report Hive Research: Report Hive Research delivers strategic market research reports, statistical surveys, industry analysis forecast data products services, markets companies. Our clientele ranges mix global business leaders, government organizations, SMEs, individuals Startups, management consulting firms, universities, etc. Our library 700,000 reports targets high growth emerging markets USA, Europe Middle East, Africa, Asia Pacific covering industries like IT, Telecom, Semiconductor, Chemical, Healthcare, Pharmaceutical, Energy Power, Manufacturing, Automotive Transportation, Food Beverages, etc. Us: Report Hive Research 500, North Michigan Avenue, Suite 6014, Chicago, IL 60611, United States Website: Email: [emailprotected] Phone: 1 3126047084 Tags: Renal Dilator Market Insights Renal Dilator Market Overview Renal Dilator Market Revenue Renal Dilator Market Share Renal Dilator Market Size Renal Dilator Market Trends Continue Reading Previous Renewable Aviation Fuel Market Analysis Key Trends, Industry Dynamics Future Growth 2021 Amyris, LanzaTech, General Biomass More Stories 4 min read International Japan News Markets Renewable Aviation Fuel Market Analysis Key Trends, Industry Dynamics Future Growth 2021 Amyris, LanzaTech, General Biomass 11 seconds ago reporthive 4 min read International Japan News Markets Emerging Trend: Renal Function Test Product Market Detailed Analysis Figures Viewpoint 2021 Beckman Coulter US, Siemens Germany, Nova Biomedical US 21 seconds ago reporthive 4 min read International Japan News Markets Renal Dialysis Equipment Market 2021 Regional Overview, Future Outlook Business Growth Asahi Kasei Medical, Baxter International, B. Braun Melsungen AG 55 seconds ago reporthive Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Renal Dilator Market SWOT Analysis, Competitive Landscape Massive Growth 2021 Abbott Vascular, Bard Medical, Boston Scientific Electrochemical Gas Sensors Market Going Boom City Technology, Alphasense, MEMBRAPOR Renewable Aviation Fuel Market Analysis Key Trends, Industry Dynamics Future Growth 2021 Amyris, LanzaTech, General Biomass Emerging Trend: Renal Function Test Product Market Detailed Analysis Figures Viewpoint 2021 Beckman Coulter US, Siemens Germany, Nova Biomedical US Scope Multi Rotor UAV Industry 20212026: Market Analysis Trends Opportunities Multirotor Servicedrone, AddictiveRC, Vulcan UAV, Century Helicopter Products, Trimble Navigation, Airogistic, Affluence You missed 4 min read International Japan News Markets Renal Dilator Market SWOT Analysis, Competitive Landscape Massive Growth 2021 Abbott Vascular, Bard Medical, Boston Scientific 1 second ago reporthive 4 min read Technology Electrochemical Gas Sensors Market Going Boom City Technology, Alphasense, MEMBRAPOR 7 seconds ago nidhi 4 min read International Japan News Markets Renewable Aviation Fuel Market Analysis Key Trends, Industry Dynamics Future Growth 2021 Amyris, LanzaTech, General Biomass 11 seconds ago reporthive 4 min read International Japan News Markets Emerging Trend: Renal Function Test Product Market Detailed Analysis Figures Viewpoint 2021 Beckman Coulter US, Siemens Germany, Nova Biomedical US 21 seconds ago reporthive Us . 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https://thejapanherald.com/markets/133232/global-ai-consulting-services-market-analysis-2021-2026-ibmgooglesalesforce-comchatbots-studioaccenturecentric-consultingopex-analyticsadastraaddo-aisofbangeigen-innovations/
| 2021-12-05T00:00:00 |
en
|
Global AI Consulting Services Market Analysis 2021-2026: IBM,Google,Salesforce.com,Chatbots.Studio,Accenture,Centric Consulting,Opex Analytics,Adastra,ADDO AI,Sofbang,Eigen Innovations, – The Japan Herald
|
Global AI Consulting Services Market Analysis 2021-2026: IBM,Google,Salesforce.com,Chatbots.Studio,Accenture,Centric Consulting,Opex Analytics,Adastra,ADDO AI,Sofbang,Eigen Innovations, – The Japan Herald
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HomeMarketsGlobal AI Consulting Services Market Analysis 2021-2026: IBM,Google,Salesforce.com,Chatbots.Studio,Accenture,Centric Consulting,Opex Analytics,Adastra,ADDO AI,Sofbang,Eigen Innovations,
Markets
Global AI Consulting Services Market Analysis 2021-2026: IBM,Google,Salesforce.com,Chatbots.Studio,Accenture,Centric Consulting,Opex Analytics,Adastra,ADDO AI,Sofbang,Eigen Innovations,
4 min read
2 hours ago
anita
The report AI Consulting Services market report examines the feasibility of all segments for future development of the AI Consulting Services market. It assesses the demand for specific products and services in international market by surveying exporters across the world and data gathered from secondary research. The report details the current export scenario, products traded and manufactured, growth trends, identifies new markets, potential products for business expansion, existing concerns in the AI Consulting Services market including trade restrictions and other, operational challenges and constraints hindering the growth of the AI Consulting Services market.
The study encompasses profiles of major companies operating in the AI Consulting Services Market
IBM
Google
Salesforce.com
Chatbots.Studio
Accenture
Centric Consulting
Opex Analytics
Adastra
ADDO AI
Sofbang
Eigen Innovations
Available Sample Report in PDF Version along with Graphs and [email protected] https://www.orbisresearch.com/contacts/request-sample/5644988?utm_source=PL3
The regions that retain the top position and hold the maximum market share in the market are presented in the report. Crucial information on the regions regarding advanced manufacturing facilities in multiple countries, their contracts with different national and international companies, supply chain operations, a customer base that have allowed the regions to stay ahead in the market are discussed in detail in the report. The countries that are gradually increasing their customer reach and establishing a stronger foothold in the AI Consulting Services market are studied in the report.
By the product type, the market is primarily split into:
Automation Consulting
Analytics Consulting
Digital Transformation Strategy Formulation
Others
By the end-users/application, this report covers the following segments:
BFSI
E-commerce
Government
Healthcare
Telecommunication
Others
Top Reasons for Report Investment
• The report presents market strategies for the market participants’ products in international markets.
• The report categorizes products based on their national and international demands
• The report provides solutions for achieving demand targets
• The report provides strategies to manage stakeholder or customer perceptions.
• The report covers the top destinations of AI Consulting Services product exports and major competitors for the market participants in the key destinations along with presenting the market share of the competitors.
• The report presents region-wise top destinations for the popular categories.
Read complete report along with TOC @ https://www.orbisresearch.com/reports/index/global-ai-consulting-services-market-growth-status-and-outlook-2021-2026?utm_source=PL3
The key regions covered in the AI Consulting Services market report are:
North America (U.S., Canada, Mexico)
South America (Cuba, Brazil, Argentina, and many others.)
Europe (Germany, U.K., France, Italy, Russia, Spain, etc.)
Asia (China, India, Russia, and many other Asian nations.)
Pacific region (Indonesia, Japan, and many other Pacific nations.)
Middle East & Africa (Saudi Arabia, South Africa, and many others.)
Points Covered in the Report
• The report suggests measures to improve the market performance.
• The report provides solutions to sustain the market and overcome the challenges.
• Feasibility study or potential of the AI Consulting Services sector to compete in the market.
• Threats faced by the AI Consulting Services industry due toization as well as scope.
• The study of the adequacy and effectiveness of the existing business structure.
• Attributes that influence the market performance have been reviewed and strategies to compete the market have been suggested.
• The prominent barriers for export especially high value contributing categories.
• Export parameters such as demand for products and services in the market, trade information, required marketing tools and channels.
• Current export scenario.
• Demand for AI Consulting Services products and services in international market and market strategies to compete the international markets.
In this study, the years considered to estimate the market size of AI Consulting Services are as follows:
History Year: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Year 2020 to 2028
In like manner, it contains appraisal of the market a few sub markets subject to the trustworthy reach, products, applications and different points of view that fuel the business improvement.
Table of Contents
Chapter One: Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by AI Consulting Services Revenue
1.4 Market Analysis by Type
1.4.1 AI Consulting Services Market Size Growth Rate by Type: 2020 VS 2028
1.5 Market by Application
1.5.1 AI Consulting Services Market Share by Application: 2020 VS 2028
1.6 Study Objectives
1.7 Years Considered
Chapter Two: Growth Trends by Regions
2.1 AI Consulting Services Market Perspective (2015-2028)
2.2 AI Consulting Services Growth Trends by Regions
2.2.1 AI Consulting Services Market Size by Regions: 2015 VS 2020 VS 2028
2.2.2 AI Consulting Services Historic Market Share by Regions (2015-2020)
2.2.3 AI Consulting Services Forecasted Market Size by Regions (2021-2028)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 AI Consulting Services Market Growth Strategy
2.3.6 Primary Interviews with Key AI Consulting Services Players (Opinion Leaders)
Chapter Three: Competition Landscape by Key Players
3.1 Top AI Consulting Services Players by Market Size
3.1.1 Top AI Consulting Services Players by Revenue (2015-2020)
3.1.2 AI Consulting Services Revenue Market Share by Players (2015-2020)
3.1.3 AI Consulting Services Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)
3.2 AI Consulting Services Market Concentration Ratio
3.2.1 AI Consulting Services Market Concentration Ratio (CRChapter Five: and HHI)
3.2.2 Top Chapter Ten: and Top 5 Companies by AI Consulting Services Revenue in 2020
3.3 AI Consulting Services Key Players Head office and Area Served
3.4 Key Players AI Consulting Services Product Solution and Service
3.5 Date of Enter into AI Consulting Services Market
3.6 Mergers & Acquisitions, Expansion Plans
Place Inquiry for Buying or Customization of Report @ https://www.orbisresearch.com/contacts/enquiry-before-buying/5644988?utm_source=PL3
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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Senior Manager Client Engagements
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Global AI Consulting Services Market Analysis 2021-2026: IBM,Google,Salesforce.com,Chatbots.Studio,Accenture,Centric Consulting,Opex Analytics,Adastra,ADDO AI,Sofbang,Eigen Innovations,
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Global AI Consulting Services Market Analysis 20212026: IBM,Google,,Chatbots.Studio,Accenture,Centric Consulting,Opex Analytics,Adastra,ADDO AI,Sofbang,Eigen Innovations, The Japan Herald Skip content December 5, 2021 The Japan Herald About Japan, Global Green Energy Space Market Primary Menu News Japan News Energy Electric vehicles Decarbonization Space Satellites Us for: HomeMarketsGlobal AI Consulting Services Market Analysis 20212026: IBM,Google,,Chatbots.Studio,Accenture,Centric Consulting,Opex Analytics,Adastra,ADDO AI,Sofbang,Eigen Innovations, Markets Global AI Consulting Services Market Analysis 20212026: IBM,Google,,Chatbots.Studio,Accenture,Centric Consulting,Opex Analytics,Adastra,ADDO AI,Sofbang,Eigen Innovations, 4 min read 2 hours ago anita The report AI Consulting Services market report examines feasibility segments future development AI Consulting Services market. It assesses demand specific products services international market surveying exporters world data gathered secondary research. The report details current export scenario, products traded manufactured, growth trends, identifies new markets, potential products business expansion, existing concerns AI Consulting Services market including trade restrictions other, operational challenges constraints hindering growth AI Consulting Services market. The study encompasses profiles major companies operating AI Consulting Services Market IBM Google Chatbots.Studio Accenture Centric Consulting Opex Analytics Adastra ADDO AI Sofbang Eigen Innovations Available Sample Report PDF Version Graphs [emailprotected] The regions retain position hold maximum market share market presented report. Crucial information regions advanced manufacturing facilities multiple countries, contracts different national international companies, supply chain operations, customer base allowed regions stay ahead market discussed report. The countries gradually increasing customer reach establishing stronger foothold AI Consulting Services market studied report. By product type, market primarily split into: Automation Consulting Analytics Consulting Digital Transformation Strategy Formulation Others By endusersapplication, report covers following segments: BFSI Ecommerce Government Healthcare Telecommunication Others Top Reasons Report Investment The report presents market strategies market participants products international markets. The report categorizes products based national international demands The report provides solutions achieving demand targets The report provides strategies manage stakeholder customer perceptions. The report covers destinations AI Consulting Services product exports major competitors market participants key destinations presenting market share competitors. The report presents regionwise destinations popular categories. Read complete report TOC @ The key regions covered AI Consulting Services market report are: North America U.S., Canada, Mexico South America Cuba, Brazil, Argentina, others. Europe Germany, U.K., France, Italy, Russia, Spain, etc. Asia China, India, Russia, Asian nations. Pacific region Indonesia, Japan, Pacific nations. Middle East Africa Saudi Arabia, South Africa, others. Points Covered Report The report suggests measures improve market performance. The report provides solutions sustain market overcome challenges. Feasibility study potential AI Consulting Services sector compete market. Threats faced AI Consulting Services industry toization scope. The study adequacy effectiveness existing business structure. Attributes influence market performance reviewed strategies compete market suggested. The prominent barriers export especially high value contributing categories. Export parameters demand products services market, trade information, required marketing tools channels. Current export scenario. Demand AI Consulting Services products services international market market strategies compete international markets. In study, years considered estimate market size AI Consulting Services follows: History Year: 20152019 Base Year: 2019 Estimated Year: 2020 Forecast Year 2020 2028 In like manner, contains appraisal market sub markets subject trustworthy reach, products, applications different points view fuel business improvement. Table Contents Chapter One: Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered: Ranking AI Consulting Services Revenue 1.4 Market Analysis Type 1.4.1 AI Consulting Services Market Size Growth Rate Type: 2020 VS 2028 1.5 Market Application 1.5.1 AI Consulting Services Market Share Application: 2020 VS 2028 1.6 Study Objectives 1.7 Years Considered Chapter Two: Growth Trends Regions 2.1 AI Consulting Services Market Perspective 20152028 2.2 AI Consulting Services Growth Trends Regions 2.2.1 AI Consulting Services Market Size Regions: 2015 VS 2020 VS 2028 2.2.2 AI Consulting Services Historic Market Share Regions 20152020 2.2.3 AI Consulting Services Forecasted Market Size Regions 20212028 2.3 Industry Trends Growth Strategy 2.3.1 Market Top Trends 2.3.2 Market Drivers 2.3.3 Market Challenges 2.3.4 Porters Five Forces Analysis 2.3.5 AI Consulting Services Market Growth Strategy 2.3.6 Primary Interviews Key AI Consulting Services Players Opinion Leaders Chapter Three: Competition Landscape Key Players 3.1 Top AI Consulting Services Players Market Size 3.1.1 Top AI Consulting Services Players Revenue 20152020 3.1.2 AI Consulting Services Revenue Market Share Players 20152020 3.1.3 AI Consulting Services Market Share Company Type Tier 1, Tier Chapter Two: Tier 3 3.2 AI Consulting Services Market Concentration Ratio 3.2.1 AI Consulting Services Market Concentration Ratio CRChapter Five: HHI 3.2.2 Top Chapter Ten: Top 5 Companies AI Consulting Services Revenue 2020 3.3 AI Consulting Services Key Players Head office Area Served 3.4 Key Players AI Consulting Services Product Solution Service 3.5 Date Enter AI Consulting Services Market 3.6 Mergers Acquisitions, Expansion Plans Place Inquiry Buying Customization 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 Continue Reading Previous Global AIEnabled Testing Tools Market Analysis 20212026: Sauce Labs .,Testim,Appdiff,ReTest GmbH,,Eggplant,Apptest.ai,Functionize .,testRigor,AutonomIQ,TestCraft,Applitools,Next Global Active Optical Cable AOC Direct Attach Cables DAC Market Analysis 20212026: IIVI orporated,Broadcom,Sumitomo,Molex orporated,Samtec,Shenzhen Gigalight Technology Co., Ltd.,The Siemon Company,Accelink,Leoni AG,CBO GmbH,Mellanox,Foxconn Interconnect Technology More Stories 5 min read Markets Global Novel Coronavirus COVID19 Vaccine Market Analysis 20212026: Avatier,Hitachi ID,ManageEngine,StealthINTERCEPT,nFront Security, ,Password Complexity Manager PCM,Specops Software,Anixis,Safepass.me 2 hours ago anita 5 min read Markets Global Active Optical Cable AOC Direct Attach Cables DAC Market Analysis 20212026: IIVI orporated,Broadcom,Sumitomo,Molex orporated,Samtec,Shenzhen Gigalight Technology Co., Ltd.,The Siemon Company,Accelink,Leoni AG,CBO GmbH,Mellanox,Foxconn Interconnect Technology 2 hours ago anita 4 min read Markets Global AIEnabled Testing Tools Market Analysis 20212026: Sauce Labs .,Testim,Appdiff,ReTest GmbH,,Eggplant,Apptest.ai,Functionize .,testRigor,AutonomIQ,TestCraft,Applitools, 2 hours ago anita Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Global Portable Traffic Signals Market Analysis, Key Company Profiles, Types, Applications Forecast 2028 Global Driver Attention Monitoring System Market Analysis, Key Company Profiles, Types, Applications Forecast 2028 Trans Resveratrol Market, Global outlook, Size, Share, Trend, Sales, Revenue, Western Market Research Trypsin Market, Global outlook, Size, Share, Trend, Sales, Revenue, Western Market Research Vacuum Suction Cups Market, Global outlook, Size, Share, Trend, Sales, Revenue, Western Market Research You missed 4 min read Uncategorized Global Portable Traffic Signals Market Analysis, Key Company Profiles, Types, Applications Forecast 2028 12 seconds ago Credible Markets 4 min read Uncategorized Global Driver Attention Monitoring System Market Analysis, Key Company Profiles, Types, Applications Forecast 2028 33 seconds ago Credible Markets 5 min read Uncategorized Trans Resveratrol Market, Global outlook, Size, Share, Trend, Sales, Revenue, Western Market Research 3 mins ago raj 5 min read Uncategorized Trypsin Market, Global outlook, Size, Share, Trend, Sales, Revenue, Western Market Research 4 mins ago raj Us . 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] | 1 | 5,132 |
https://thejapanherald.com/uncategorized/261391/global-artificial-intelligence-software-market-size-2021-market-analysis-including-growth-upcoming-trends-and-growth-opportunities-challenges-opportunities-and-future-developments-to-2030-csp-ma/
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Global Artificial Intelligence Software Market, Size 2021, Market Analysis including Growth, Upcoming Trends and Growth Opportunities, Challenges, Opportunities and Future Developments to 2030, CSP Market Research – The Japan Herald
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Global Artificial Intelligence Software Market, Size 2021, Market Analysis including Growth, Upcoming Trends and Growth Opportunities, Challenges, Opportunities and Future Developments to 2030, CSP Market Research – The Japan Herald
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Global Artificial Intelligence Software Market, Size 2021, Market Analysis including Growth, Upcoming Trends and Growth Opportunities, Challenges, Opportunities and Future Developments to 2030, CSP Market Research
7 min read
1 hour ago
raj
Global Artificial Intelligence Software Market report offers a deep analysis of the Market Research Industry. It demonstrates a rapid summary of industry data and a key enumerate of the market. The report highlights well-known performers from the Global Artificial Intelligence Software Market beside contribution to the market vocation progress within the estimated time. CSP Market Research Report covers recent improvements while predicting the expansion of the players of the market.
Request for free PDF Sample Report @ https://www.cspmarketresearch.com/download-sample.php?id=3949
Market Overview:
Global Artificial Intelligence Software Market Report is expected to grow at CAGR XX% by 2030. Global Artificial Intelligence Software Market Report was $XX Million in 2020 and is expected to reach $XX Billion by the forecasted period 2021 to 2030.
Global Artificial Intelligence Software Market:
The Global Artificial Intelligence Software Market size was estimated at US$ XX Million in 2020 and is projected to grow at a CAGR of XX% over the upcoming years. The key growth factors behind the growth of Global Artificial Intelligence Software Market include the growing demand for Global Artificial Intelligence Software Market in the industry along with the increased use for Global Artificial Intelligence Software Market in the related sector. Furthermore, the emergence of new market along with the growing urbanization across the globe are some other key factors for the growth of the Global Artificial Intelligence Software Market in the upcoming years.
CSP Market Research- recently promoted report on Global Artificial Intelligence Software Market offers a comprehensive valuation of the marketplace via in-depth comprehensions, accurate market growth by evaluating past developments, and keeping track of the current situation and future prospects by intellect progressive and likely areas.
Global Global Artificial Intelligence Software Market: COVID-19 Impact
The COVID-19 pandemic had a huge impact across all the industries including logistics & supply chain, oil & gas, manufacturing, electronics, and others. The partial or full lockdown in the year 2020 and 2021 across numerous countries such as India, the U.S., the U.K., Germany, and others had further impacted the supply of raw materials and finished products across the globe. The demand for the product has decreased during the COVID-19 period due to halt in the manufacturing industry as the demand for raw materials and finished good has been halted during the COVID-19 period. Therefore, the Global Artificial Intelligence Software Market is severely impacted by COVID-19.
Contact for Any Query or Get Customized Report @ https://www.cspmarketresearch.com/ask-for-discount.php?id=3949
Global Artificial Intelligence Software Market: Regional Analysis
Based on the regions, the >Global Artificial Intelligence Software Market is segmented into North America, Europe, Asia Pacific, Latin America (LATAM), and Middle East & Africa (MEA). Asia Pacific is estimated to witness fastest growth in the Global Artificial Intelligence Software Market during the forecast period. This is ascribed to the growing personal care industry in the region along with the rising urban population in the region. Besides, North America and Europe is estimated to witness substantial growth during the forecast period.
The study of CSP Market Research comprises of comprehensive primary investigation along with the detailed investigation of qualitative as well as quantitative aspects by various enterprise experts, key opinion leaders to obtain a deeper insight of the market and enterprise performance. The report Global Artificial Intelligence Software Market gives a definite perception of popular market situation which introduces the historical and predicted market size in terms of value and volume, technological advancement, macro economical and governing factors in the market. The report presents detailed information and strategies of the top key players in the industry.
Please have a glance at the Covered Segment in the Report Global Artificial Intelligence Software Market
Global Artificial Intelligence Software market Segmentation by Application:
– Voice Processing
– Text Processing
– Image Processing
Global Artificial Intelligence Software market Segmentation by Type:
– On-Premise
– Cloud-based
Key Players Mentioned in the Global Artificial Intelligence Software market Research Report:
– Baidu
– Google
– IBM
– Microsoft
– SAP
– Intel
– Salesforce
– Brighterion
– KITT.AI
– IFlyTek
– Megvii Technology
– Albert Technologies
– H2O.ai
– Brainasoft
– Yseop
– Ipsoft
– NanoRep(LogMeIn)
– Ada Support
– Astute Solutions
– IDEAL.com
– Wipro
*Listed companies in this report may vary in the final report subject to Name Change/Merger etc
CSP Market Research is also covering the Global-
Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)
Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
North America (the United States, Mexico, and Canada.)
South America (Brazil etc.)
The Middle East and Africa (GCC Countries and Egypt.)
Rest of the World
Note- Reports can also be available Specific region-wise as per Client requirements
Direct Purchase this Global Artificial Intelligence Software Market Research Report Now @ https://www.cspmarketresearch.com/checkout-report.php?id=3949
The global Market classification is predicated on the variability of products and end-user request sections. The market study includes the event of every section of the worldwide market. The info summarized within the report may be a collection of variant manufacturer bodies to approximate the expansion of sections in future time.
Qualitative, Quantitative, Forecasting and in-depth analysis for the market will be provided on a global, regional, and country-level for the following years:
Historical data- 2018 to 2020
The base year for estimation- 2021
Forecast period- 2021 to 2028
Our Research covers Competitors:
Company Profile
Main Business Information
SWOT Analysis
Sales, Revenue, Price, and Gross Margin
Market Share
Market share and company profiles of the:
CSP Market Research Present latest study on- Global Artificial Intelligence Software Market The report present extensive, in-depth analysis of the on-going trends, opportunities/ high growth areas, market drivers, which could help stakeholders to device and align market strategies according to the future market dynamics.
Based on elite players, present, past, and futuristic data will offer a profitable guide for all the readers and competitors. The overall analysis covers an overview of the industry policies, the cost structure of the products available in the market.
How will this Market study assistance you?
CSP Market Research- Our Research study will provide you with an understanding of the key market trends, challenges, Market Size, Market Key Players, Market Insights, SWOT analysis, and opportunities in the industries.
1. The report offers statistical data in terms useful (US$) also as Volume (units) till Forecast period.
2. Exclusive insight into the key trends affecting the industry, although key threats, opportunities, and disruptive technologies that would shape the Global Artificial Intelligence Software Market supply and demand.
3. The report tracks the leading market players which will shape and impact the Global Artificial Intelligence Software Market most.
4. The info analysis present within the report is predicated on the mixture of both primary and secondary resources.
5. The report helps you to know the important effects of key market drivers or restrains on business.
6. Distribution Channel sales Analysis by Value.
7. The study provides you the data from the different segment of the industry
8. Free Customization as per your requirement.
Target Audience of the Global Artificial Intelligence Software Market in Market Study:
• Key Consulting Companies & Advisors
• Large, medium-sized, and small enterprises
• Venture capitalists
• Value-Added Resellers (VARs)
• Third-party knowledge providers
• Investment bankers
• Investors
Research Methodology- CSP Market Research
The research report Global Artificial Intelligence Software Market has been prepared by conducting several rounds of primary interviews with key top management of several Tier-I and II companies. The primary research percentage of all of reports are above 80% whereas 20% of secondary research includes data from Hoovers, Factiva, Companies websites, one source avention and other government published records. Both top-down approach has been applied for the calculation of market size, volume, import and export and has been validated thoroughly.
Table of Content- Some Point Covered in the Report Global Artificial Intelligence Software Market
For Complete and detailed TOC speak with our analyst and fill the inquiry form.
Chapter- 1. Research Framework (Research Objective, Market Segmentation)
Chapter- 2. Research Methodology- Qualitative Research, Primary & Secondary Sources, Quantitative Research, Primary & Secondary Sources, Market Size Estimation, Data Triangulation
Chapter- 3. Executive Summary (Overview)
Chapter- 4. Market Dynamics- Global Industry Outlook, Porter’s Five Forces Model, COVID-19 Impact Assessment on Market, Major Strategies Adopted by Key Players, Market Positioning of Key Players
Chapter- 5. Global Global Artificial Intelligence Software Market Analysis, by Market Segmentation- Key Insights, Market Size and Forecast
Chapter- 6. Global Global Artificial Intelligence Software Market Analysis, by Geography- Key Insights, Market Size and Forecast (North America, Europe, Asia Pacific, Latin America, Middle East & Africa )
Chapter- 7. North America Global Artificial Intelligence Software Market Analysis- (Key Insights, Market Size and Forecast, By Market Segmentation)
Chapter- 8. Europe Global Artificial Intelligence Software Market Analysis- (Key Insights, Market Size and Forecast, By Market Segmentation)
Chapter- 9. Asia Pacific Global Artificial Intelligence Software Market Analysis- (Key Insights, Market Size and Forecast, By Market Segmentation)
Chapter- 10. Latin America Global Artificial Intelligence Software Market Analysis- (Key Insights, Market Size and Forecast, By Market Segmentation)
Chapter- 11. Middle East & Africa Global Artificial Intelligence Software Market Analysis- (Key Insights, Market Size and Forecast, By Market Segmentation)
Chapter- 12. Company Profiles- (Company, Company Basic Information, Manufacturing Base, Sales Area, Company Sales and Net Income Highlights, Business Overview, Company News
Thanks for reading the article. We’ll also customize the report consistent with your requirements.
Browse the Short Summary & TOC of the Report @ https://www.cspmarketresearch.com/report/global-artificial-intelligence-software-market-3949
About CSP Market Research:
CSP Market Research-CSP MR Private Limited is a leading global consulting and market research company in India. We offer business intelligence and support to our client for business growth. We analyse the data and create an algorithm that provides specific insights, which are highly valued in the industry. CSP MR Focus on strategies, future estimations, growth, opportunity analysis, and consumer survey by market experts. We care about the client data privacy and authenticity, CSP Market Research has worked hard building our legacy of outstanding service, expertise, efficiency, and integrity.
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For More info. Contact.
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Global Artificial Intelligence Software Market, Size 2021, Market Analysis including Growth, Upcoming Trends Growth Opportunities, Challenges, Opportunities Future Developments 2030, CSP Market Research The Japan Herald Skip content December 12, 2021 The Japan Herald About Japan, Global Green Energy Space Market Primary Menu News Japan News Energy Electric vehicles Decarbonization Space Satellites Us for: HomeUncategorizedGlobal Artificial Intelligence Software Market, Size 2021, Market Analysis including Growth, Upcoming Trends Growth Opportunities, Challenges, Opportunities Future Developments 2030, CSP Market Research Uncategorized Global Artificial Intelligence Software Market, Size 2021, Market Analysis including Growth, Upcoming Trends Growth Opportunities, Challenges, Opportunities Future Developments 2030, CSP Market Research 7 min read 1 hour ago raj Global Artificial Intelligence Software Market report offers deep analysis Market Research Industry. It demonstrates rapid summary industry data key enumerate market. The report highlights wellknown performers Global Artificial Intelligence Software Market contribution market vocation progress estimated time. CSP Market Research Report covers recent improvements predicting expansion players market. Request free PDF Sample Report @ Market Overview: Global Artificial Intelligence Software Market Report expected grow CAGR XX 2030. Global Artificial Intelligence Software Market Report XX Million 2020 expected reach XX Billion forecasted period 2021 2030. Global Artificial Intelligence Software Market: The Global Artificial Intelligence Software Market size estimated US XX Million 2020 projected grow CAGR XX upcoming years. The key growth factors growth Global Artificial Intelligence Software Market include growing demand Global Artificial Intelligence Software Market industry increased use Global Artificial Intelligence Software Market related sector. Furthermore, emergence new market growing urbanization globe key factors growth Global Artificial Intelligence Software Market upcoming years. CSP Market Research recently promoted report Global Artificial Intelligence Software Market offers comprehensive valuation marketplace indepth comprehensions, accurate market growth evaluating past developments, keeping track current situation future prospects intellect progressive likely areas. Global Global Artificial Intelligence Software Market: COVID19 Impact The COVID19 pandemic huge impact industries including logistics supply chain, oil gas, manufacturing, electronics, others. The partial lockdown year 2020 2021 numerous countries India, U.S., U.K., Germany, impacted supply raw materials finished products globe. The demand product decreased COVID19 period halt manufacturing industry demand raw materials finished good halted COVID19 period. Therefore, Global Artificial Intelligence Software Market severely impacted COVID19. Any Query Get Customized Report @ Global Artificial Intelligence Software Market: Regional Analysis Based regions, >Global Artificial Intelligence Software Market segmented North America, Europe, Asia Pacific, Latin America LATAM, Middle East Africa MEA. Asia Pacific estimated witness fastest growth Global Artificial Intelligence Software Market forecast period. This ascribed growing personal care industry region rising urban population region. Besides, North America Europe estimated witness substantial growth forecast period. The study CSP Market Research comprises comprehensive primary investigation detailed investigation qualitative quantitative aspects enterprise experts, key opinion leaders obtain deeper insight market enterprise performance. The report Global Artificial Intelligence Software Market gives definite perception popular market situation introduces historical predicted market size terms value volume, technological advancement, macro economical governing factors market. The report presents detailed information strategies key players industry. Please glance Covered Segment Report Global Artificial Intelligence Software Market Global Artificial Intelligence Software market Segmentation Application: Voice Processing Text Processing Image Processing Global Artificial Intelligence Software market Segmentation Type: OnPremise Cloudbased Key Players Mentioned Global Artificial Intelligence Software market Research Report: Baidu Google IBM Microsoft SAP Intel Salesforce Brighterion KITT.AI IFlyTek Megvii Technology Albert Technologies H2O.ai Brainasoft Yseop Ipsoft NanoRepLogMeIn Ada Support Astute Solutions Wipro Listed companies report vary final report subject Name ChangeMerger CSP Market Research covering Global AsiaPacific Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, Australia Europe Turkey, Germany, Russia UK, Italy, France, etc. North America United States, Mexico, Canada. South America Brazil etc. The Middle East Africa GCC Countries Egypt. Rest World Note Reports available Specific regionwise Client requirements Direct Purchase Global Artificial Intelligence Software Market Research Report Now @ The global Market classification predicated variability products enduser request sections. The market study includes event section worldwide market. The info summarized report collection variant manufacturer bodies approximate expansion sections future time. Qualitative, Quantitative, Forecasting indepth analysis market provided global, regional, countrylevel following years: Historical data 2018 2020 The base year estimation 2021 Forecast period 2021 2028 Our Research covers Competitors: Company Profile Main Business Information SWOT Analysis Sales, Revenue, Price, Gross Margin Market Share Market share company profiles the: CSP Market Research Present latest study Global Artificial Intelligence Software Market The report present extensive, indepth analysis ongoing trends, opportunities high growth areas, market drivers, help stakeholders device align market strategies according future market dynamics. Based elite players, present, past, futuristic data offer profitable guide readers competitors. The overall analysis covers overview industry policies, cost structure products available market. How Market study assistance you? CSP Market Research Our Research study provide understanding key market trends, challenges, Market Size, Market Key Players, Market Insights, SWOT analysis, opportunities industries. 1. The report offers statistical data terms useful US Volume units till Forecast period. 2. Exclusive insight key trends affecting industry, key threats, opportunities, disruptive technologies shape Global Artificial Intelligence Software Market supply demand. 3. The report tracks leading market players shape impact Global Artificial Intelligence Software Market most. 4. The info analysis present report predicated mixture primary secondary resources. 5. The report helps know important effects key market drivers restrains business. 6. Distribution Channel sales Analysis Value. 7. The study provides data different segment industry 8. Free Customization requirement. Target Audience Global Artificial Intelligence Software Market Market Study: Key Consulting Companies Advisors Large, mediumsized, small enterprises Venture capitalists ValueAdded Resellers VARs Thirdparty knowledge providers Investment bankers Investors Research Methodology CSP Market Research The research report Global Artificial Intelligence Software Market prepared conducting rounds primary interviews key management TierI II companies. The primary research percentage reports 80 20 secondary research includes data Hoovers, Factiva, Companies websites, source avention government published records. Both topdown approach applied calculation market size, volume, import export validated thoroughly. Table Content Some Point Covered Report Global Artificial Intelligence Software Market For Complete detailed TOC speak analyst inquiry form. Chapter 1. Research Framework Research Objective, Market Segmentation Chapter 2. Research Methodology Qualitative Research, Primary Secondary Sources, Quantitative Research, Primary Secondary Sources, Market Size Estimation, Data Triangulation Chapter 3. Executive Summary Overview Chapter 4. Market Dynamics Global Industry Outlook, Porters Five Forces Model, COVID19 Impact Assessment Market, Major Strategies Adopted Key Players, Market Positioning Key Players Chapter 5. Global Global Artificial Intelligence Software Market Analysis, Market Segmentation Key Insights, Market Size Forecast Chapter 6. Global Global Artificial Intelligence Software Market Analysis, Geography Key Insights, Market Size Forecast North America, Europe, Asia Pacific, Latin America, Middle East Africa Chapter 7. North America Global Artificial Intelligence Software Market Analysis Key Insights, Market Size Forecast, By Market Segmentation Chapter 8. Europe Global Artificial Intelligence Software Market Analysis Key Insights, Market Size Forecast, By Market Segmentation Chapter 9. Asia Pacific Global Artificial Intelligence Software Market Analysis Key Insights, Market Size Forecast, By Market Segmentation Chapter 10. Latin America Global Artificial Intelligence Software Market Analysis Key Insights, Market Size Forecast, By Market Segmentation Chapter 11. Middle East Africa Global Artificial Intelligence Software Market Analysis Key Insights, Market Size Forecast, By Market Segmentation Chapter 12. Company Profiles Company, Company Basic Information, Manufacturing Base, Sales Area, Company Sales Net ome Highlights, Business Overview, Company News Thanks reading article. Well customize report consistent requirements. Browse Short Summary TOC Report @ About CSP Market Research: CSP Market ResearchCSP MR Private Limited leading global consulting market research company India. We offer business intelligence support client business growth. We analyse data create algorithm provides specific insights, highly valued industry. CSP MR Focus strategies, future estimations, growth, opportunity analysis, consumer survey market experts. We care client data privacy authenticity, CSP Market Research worked hard building legacy outstanding service, expertise, efficiency, integrity. Us: For More info. . David Marketing Sales Head Email: [emailprotected] Continue Reading Previous Global Automotive Inductive Wireless Charging Systems Market, Size 2021, Market Analysis including Growth, Upcoming Trends Growth Opportunities, Challenges, Opportunities Future Developments 2030, CSP Market ResearchNext Global VoIP Market, Size 2021, Market Analysis including Growth, Upcoming Trends Growth Opportunities, Challenges, Opportunities Future Developments 2030, CSP Market Research More Stories 6 min read Uncategorized Ferro Manganese Market, Global Report Trend, Outlook, Size, Share, Western Market Research 1 second ago raj 7 min read Uncategorized Stainless Steel Tube Market, Industry Trends, Market Analysis Size, Share, Industry Growth Forecasts Till 2030 30 seconds ago raj 7 min read Uncategorized Welded Wire Mesh Market, Industry Trends, Market Analysis Size, Share, Industry Growth Forecasts Till 2030 54 seconds ago raj Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Ferro Manganese Market, Global Report Trend, Outlook, Size, Share, Western Market Research Stainless Steel Tube Market, Industry Trends, Market Analysis Size, Share, Industry Growth Forecasts Till 2030 PU Coated Swimming Caps Market Analysis, Types, Applications 20212027 Speedo, Swim Elite, YINGFA Emerging Trend: Propantheline Bromide Market Detailed Analysis Figures Viewpoint 2021 Pfizer, Tablicaps, Mylan Propeller Shafts Market Demand And Growth Rate Forecast 20212027 GKN, Meritor, Dana You missed 6 min read Uncategorized Ferro Manganese Market, Global Report Trend, Outlook, Size, Share, Western Market Research 1 second ago raj 7 min read Uncategorized Stainless Steel Tube Market, Industry Trends, Market Analysis Size, Share, Industry Growth Forecasts Till 2030 30 seconds ago raj 4 min read International Japan News Markets PU Coated Swimming Caps Market Analysis, Types, Applications 20212027 Speedo, Swim Elite, YINGFA 38 seconds ago reporthive 4 min read International Japan News Markets Emerging Trend: Propantheline Bromide Market Detailed Analysis Figures Viewpoint 2021 Pfizer, Tablicaps, Mylan 41 seconds ago reporthive Us . 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| 2,021 |
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] | 1 | 5,133 |
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| 2021-03-30T00:00:00 |
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Isolation Joint Market Growth, Projections, Analysis, Trends and Forecast 2027 | Petrosadid Group, GPT Industries (EnPro Industries), ISPI – The Market Eagle
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Isolation Joint Market Growth, Projections, Analysis, Trends and Forecast 2027 | Petrosadid Group, GPT Industries (EnPro Industries), ISPI – The Market Eagle
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Isolation Joint Market Growth, Projections, Analysis, Trends and Forecast 2027 | Petrosadid Group, GPT Industries (EnPro Industries), ISPI
Byhitesh
Mar 30, 2021
“
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Get PDF Sample Copy of Report: (Including TOC, List of Tables & Figures, Chart) Isolation Joint
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The report includes CAGR, market shares, sales, gross margin, value, volume, and other vital market figures that give an exact picture of the growth of the global Isolation Joint market.
Isolation Joint Market Top Companies/Manufacturers:
Petrosadid Group, GPT Industries (EnPro Industries), ISPI, iSystems Industries/Akfel Commodities, RMA Kehl GmbH & Co. KG, Tube Turns (Sypris Solutions), Vatac, IMAC Systems, Inc, Nupros Inc., Goodrich Gasket Pvt. Ltd., Conti Сhemical Сoppany (Radiatym), ENGINEERS & PARTNERS P.C., Vee Kay Vikram & Co. LLP, ZUNT ITALIANA Srl, Chero Piping S.p.a., KASRAVAND Co
Isolation Joint Market Types:
Rail Insulation Joints
Female Pre-insulated Joints
Bonded Insulation Joints
Pipe Insulation Joints
Isolation Joint Market Applications:
Gas Pipelines
Oil Pipelines
Others
For Customization in the Report Drop Your Query Here:
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Competitive Landscape
Competitor analysis is one of the best sections of the report that compares the progress of leading players based on crucial parameters, including market share, new developments, global reach, local competition, price, and production. From the nature of competition to future changes in the vendor landscape, the report provides in-depth analysis of the competition in the global Isolation Joint market.
Key questions answered in the report:
What is the growth potential of the Isolation Joint market?
Which product segment will grab a lion’s share?
Which regional market will emerge as a frontrunner in the coming years?
Which application segment will grow at a robust rate?
What are the growth opportunities that may emerge in the Isolation Joint industry in the years to come?
What are the key challenges that the global Isolation Joint market may face in the future?
Which are the leading companies in the global Isolation Joint market?
Which are the key trends positively impacting the market growth?
Which are the growth strategies considered by the players to sustain hold in the global Isolation Joint market
TOC
1 Isolation Joint Market Overview
1.1 Product Overview and Scope of Isolation Joint
1.2 Isolation Joint Segment by Type
1.2.1 Global Isolation Joint Market Size Growth Rate Analysis by Type 2021 VS 2027
1.2.2 Rail Insulation Joints
1.2.3 Female Pre-insulated Joints
1.2.4 Bonded Insulation Joints
1.2.5 Pipe Insulation Joints
1.3 Isolation Joint Segment by Application
1.3.1 Global Isolation Joint Consumption Comparison by Application: 2016 VS 2021 VS 2027
1.3.2 Gas Pipelines
1.3.3 Oil Pipelines
1.3.4 Others
1.4 Global Market Growth Prospects
1.4.1 Global Isolation Joint Revenue Estimates and Forecasts (2016-2027)
1.4.2 Global Isolation Joint Production Estimates and Forecasts (2016-2027)
1.5 Global Market Size by Region
1.5.1 Global Isolation Joint Market Size Estimates and Forecasts by Region: 2016 VS 2021 VS 2027
1.5.2 North America Isolation Joint Estimates and Forecasts (2016-2027)
1.5.3 Europe Isolation Joint Estimates and Forecasts (2016-2027)
1.5.4 China Isolation Joint Estimates and Forecasts (2016-2027)
1.5.5 Japan Isolation Joint Estimates and Forecasts (2016-2027)
2 Market Competition by Manufacturers
2.1 Global Isolation Joint Production Market Share by Manufacturers (2016-2021)
2.2 Global Isolation Joint Revenue Market Share by Manufacturers (2016-2021)
2.3 Isolation Joint Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Isolation Joint Average Price by Manufacturers (2016-2021)
2.5 Manufacturers Isolation Joint Production Sites, Area Served, Product Types
2.6 Isolation Joint Market Competitive Situation and Trends
2.6.1 Isolation Joint Market Concentration Rate
2.6.2 Global 5 and 10 Largest Isolation Joint Players Market Share by Revenue
2.6.3 Mergers & Acquisitions, Expansion
3 Production and Capacity by Region
3.1 Global Production of Isolation Joint Market Share by Region (2016-2021)
3.2 Global Isolation Joint Revenue Market Share by Region (2016-2021)
3.3 Global Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
3.4 North America Isolation Joint Production
3.4.1 North America Isolation Joint Production Growth Rate (2016-2021)
3.4.2 North America Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
3.5 Europe Isolation Joint Production
3.5.1 Europe Isolation Joint Production Growth Rate (2016-2021)
3.5.2 Europe Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
3.6 China Isolation Joint Production
3.6.1 China Isolation Joint Production Growth Rate (2016-2021)
3.6.2 China Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
3.7 Japan Isolation Joint Production
3.7.1 Japan Isolation Joint Production Growth Rate (2016-2021)
3.7.2 Japan Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
4 Global Isolation Joint Consumption by Region
4.1 Global Isolation Joint Consumption by Region
4.1.1 Global Isolation Joint Consumption by Region
4.1.2 Global Isolation Joint Consumption Market Share by Region
4.2 North America
4.2.1 North America Isolation Joint Consumption by Country
4.2.2 U.S.
4.2.3 Canada
4.3 Europe
4.3.1 Europe Isolation Joint Consumption by Country
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Isolation Joint Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Isolation Joint Consumption by Country
4.5.2 Mexico
4.5.3 Brazil
5 Production, Revenue, Price Trend by Type
5.1 Global Isolation Joint Production Market Share by Type (2016-2021)
5.2 Global Isolation Joint Revenue Market Share by Type (2016-2021)
5.3 Global Isolation Joint Price by Type (2016-2021)
6 Consumption Analysis by Application
6.1 Global Isolation Joint Consumption Market Share by Application (2016-2021)
6.2 Global Isolation Joint Consumption Growth Rate by Application (2016-2021)
7 Key Companies Profiled
7.1 Petrosadid Group
7.1.1 Petrosadid Group Isolation Joint Corporation Information
7.1.2 Petrosadid Group Isolation Joint Product Portfolio
7.1.3 Petrosadid Group Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.1.4 Petrosadid Group Main Business and Markets Served
7.1.5 Petrosadid Group Recent Developments/Updates
7.2 GPT Industries (EnPro Industries)
7.2.1 GPT Industries (EnPro Industries) Isolation Joint Corporation Information
7.2.2 GPT Industries (EnPro Industries) Isolation Joint Product Portfolio
7.2.3 GPT Industries (EnPro Industries) Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.2.4 GPT Industries (EnPro Industries) Main Business and Markets Served
7.2.5 GPT Industries (EnPro Industries) Recent Developments/Updates
7.3 ISPI
7.3.1 ISPI Isolation Joint Corporation Information
7.3.2 ISPI Isolation Joint Product Portfolio
7.3.3 ISPI Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.3.4 ISPI Main Business and Markets Served
7.3.5 ISPI Recent Developments/Updates
7.4 iSystems Industries/Akfel Commodities
7.4.1 iSystems Industries/Akfel Commodities Isolation Joint Corporation Information
7.4.2 iSystems Industries/Akfel Commodities Isolation Joint Product Portfolio
7.4.3 iSystems Industries/Akfel Commodities Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.4.4 iSystems Industries/Akfel Commodities Main Business and Markets Served
7.4.5 iSystems Industries/Akfel Commodities Recent Developments/Updates
7.5 RMA Kehl GmbH & Co. KG
7.5.1 RMA Kehl GmbH & Co. KG Isolation Joint Corporation Information
7.5.2 RMA Kehl GmbH & Co. KG Isolation Joint Product Portfolio
7.5.3 RMA Kehl GmbH & Co. KG Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.5.4 RMA Kehl GmbH & Co. KG Main Business and Markets Served
7.5.5 RMA Kehl GmbH & Co. KG Recent Developments/Updates
7.6 Tube Turns (Sypris Solutions)
7.6.1 Tube Turns (Sypris Solutions) Isolation Joint Corporation Information
7.6.2 Tube Turns (Sypris Solutions) Isolation Joint Product Portfolio
7.6.3 Tube Turns (Sypris Solutions) Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.6.4 Tube Turns (Sypris Solutions) Main Business and Markets Served
7.6.5 Tube Turns (Sypris Solutions) Recent Developments/Updates
7.7 Vatac
7.7.1 Vatac Isolation Joint Corporation Information
7.7.2 Vatac Isolation Joint Product Portfolio
7.7.3 Vatac Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.7.4 Vatac Main Business and Markets Served
7.7.5 Vatac Recent Developments/Updates
7.8 IMAC Systems, Inc
7.8.1 IMAC Systems, Inc Isolation Joint Corporation Information
7.8.2 IMAC Systems, Inc Isolation Joint Product Portfolio
7.8.3 IMAC Systems, Inc Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.8.4 IMAC Systems, Inc Main Business and Markets Served
7.7.5 IMAC Systems, Inc Recent Developments/Updates
7.9 Nupros Inc.
7.9.1 Nupros Inc. Isolation Joint Corporation Information
7.9.2 Nupros Inc. Isolation Joint Product Portfolio
7.9.3 Nupros Inc. Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.9.4 Nupros Inc. Main Business and Markets Served
7.9.5 Nupros Inc. Recent Developments/Updates
7.10 Goodrich Gasket Pvt. Ltd.
7.10.1 Goodrich Gasket Pvt. Ltd. Isolation Joint Corporation Information
7.10.2 Goodrich Gasket Pvt. Ltd. Isolation Joint Product Portfolio
7.10.3 Goodrich Gasket Pvt. Ltd. Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.10.4 Goodrich Gasket Pvt. Ltd. Main Business and Markets Served
7.10.5 Goodrich Gasket Pvt. Ltd. Recent Developments/Updates
7.11 Conti Сhemical Сoppany (Radiatym)
7.11.1 Conti Сhemical Сoppany (Radiatym) Isolation Joint Corporation Information
7.11.2 Conti Сhemical Сoppany (Radiatym) Isolation Joint Product Portfolio
7.11.3 Conti Сhemical Сoppany (Radiatym) Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.11.4 Conti Сhemical Сoppany (Radiatym) Main Business and Markets Served
7.11.5 Conti Сhemical Сoppany (Radiatym) Recent Developments/Updates
7.12 ENGINEERS & PARTNERS P.C.
7.12.1 ENGINEERS & PARTNERS P.C. Isolation Joint Corporation Information
7.12.2 ENGINEERS & PARTNERS P.C. Isolation Joint Product Portfolio
7.12.3 ENGINEERS & PARTNERS P.C. Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.12.4 ENGINEERS & PARTNERS P.C. Main Business and Markets Served
7.12.5 ENGINEERS & PARTNERS P.C. Recent Developments/Updates
7.13 Vee Kay Vikram & Co. LLP
7.13.1 Vee Kay Vikram & Co. LLP Isolation Joint Corporation Information
7.13.2 Vee Kay Vikram & Co. LLP Isolation Joint Product Portfolio
7.13.3 Vee Kay Vikram & Co. LLP Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.13.4 Vee Kay Vikram & Co. LLP Main Business and Markets Served
7.13.5 Vee Kay Vikram & Co. LLP Recent Developments/Updates
7.14 ZUNT ITALIANA Srl
7.14.1 ZUNT ITALIANA Srl Isolation Joint Corporation Information
7.14.2 ZUNT ITALIANA Srl Isolation Joint Product Portfolio
7.14.3 ZUNT ITALIANA Srl Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.14.4 ZUNT ITALIANA Srl Main Business and Markets Served
7.14.5 ZUNT ITALIANA Srl Recent Developments/Updates
7.15 Chero Piping S.p.a.
7.15.1 Chero Piping S.p.a. Isolation Joint Corporation Information
7.15.2 Chero Piping S.p.a. Isolation Joint Product Portfolio
7.15.3 Chero Piping S.p.a. Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.15.4 Chero Piping S.p.a. Main Business and Markets Served
7.15.5 Chero Piping S.p.a. Recent Developments/Updates
7.16 KASRAVAND Co
7.16.1 KASRAVAND Co Isolation Joint Corporation Information
7.16.2 KASRAVAND Co Isolation Joint Product Portfolio
7.16.3 KASRAVAND Co Isolation Joint Production, Revenue, Price and Gross Margin (2016-2021)
7.16.4 KASRAVAND Co Main Business and Markets Served
7.16.5 KASRAVAND Co Recent Developments/Updates
8 Isolation Joint Manufacturing Cost Analysis
8.1 Isolation Joint Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Raw Materials Price Trend
8.1.3 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Isolation Joint
8.4 Isolation Joint Industrial Chain Analysis
9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Isolation Joint Distributors List
9.3 Isolation Joint Customers
10 Market Dynamics
10.1 Isolation Joint Industry Trends
10.2 Isolation Joint Growth Drivers
10.3 Isolation Joint Market Challenges
10.4 Isolation Joint Market Restraints
11 Production and Supply Forecast
11.1 Global Forecasted Production of Isolation Joint by Region (2022-2027)
11.2 North America Isolation Joint Production, Revenue Forecast (2022-2027)
11.3 Europe Isolation Joint Production, Revenue Forecast (2022-2027)
11.4 China Isolation Joint Production, Revenue Forecast (2022-2027)
11.5 Japan Isolation Joint Production, Revenue Forecast (2022-2027)
12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Isolation Joint
12.2 North America Forecasted Consumption of Isolation Joint by Country
12.3 Europe Market Forecasted Consumption of Isolation Joint by Country
12.4 Asia Pacific Market Forecasted Consumption of Isolation Joint by Region
12.5 Latin America Forecasted Consumption of Isolation Joint by Country
13 Forecast by Type and by Application (2022-2027)
13.1 Global Production, Revenue and Price Forecast by Type (2022-2027)
13.1.1 Global Forecasted Production of Isolation Joint by Type (2022-2027)
13.1.2 Global Forecasted Revenue of Isolation Joint by Type (2022-2027)
13.1.3 Global Forecasted Price of Isolation Joint by Type (2022-2027)
13.2 Global Forecasted Consumption of Isolation Joint by Application (2022-2027)
14 Research Finding and Conclusion
15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer
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Isolation Joint Market Growth, Projections, Analysis, Trends and Forecast 2027
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Isolation Joint Market Growth, Projections, Analysis, Trends Forecast 2027 Petrosadid Group, GPT Industries EnPro Industries, ISPI The Market Eagle Skip content Tue. Mar 30th, 2021 The Market Eagle News Energy News Space All News All News Isolation Joint Market Growth, Projections, Analysis, Trends Forecast 2027 Petrosadid Group, GPT Industries EnPro Industries, ISPI Byhitesh Mar 30, 2021 LOS ANGELES, United States: The report titled Global Isolation Joint Market comprehensive important additions QY Researchs archive market research studies. It offers detailed research analysis key aspects global Isolation Joint market. The market analysts authoring report provided indepth information leading growth drivers, restraints, challenges, trends, opportunities offer complete analysis global Isolation Joint market. Market participants use analysis market dynamics plan effective growth strategies prepare future challenges beforehand. Each trend global Isolation Joint market carefully analyzed researched market analysts.The market analysts researchers extensive analysis global Isolation Joint market help research methodologies PESTLE Porters Five Forces analysis. They provided accurate reliable market data useful recommendations aim help players gain insight overall present future market scenario. The Isolation Joint report comprises indepth study potential segments including product type, application, end user contribution overall market size. In addition, market revenues based region country provided Isolation Joint report. The authors report shed light common business tactics adopted players. The leading players global Isolation Joint market complete profiles included report. Besides that, investment opportunities, recommendations, trends trending present global Isolation Joint market mapped report. With help report, key players global Isolation Joint market able sound decisions plan strategies accordingly stay ahead curve. Get PDF Sample Copy Report: luding TOC, List Tables Figures, Chart Isolation Joint The report includes CAGR, market shares, sales, gross margin, value, volume, vital market figures exact picture growth global Isolation Joint market. Isolation Joint Market Top CompaniesManufacturers: Petrosadid Group, GPT Industries EnPro Industries, ISPI, iSystems IndustriesAkfel Commodities, RMA Kehl GmbH Co. KG, Tube Turns Sypris Solutions, Vatac, IMAC Systems, , Nupros ., Goodrich Gasket Pvt. Ltd., Conti hemical oppany Radiatym, ENGINEERS PARTNERS P.C., Vee Kay Vikram Co. LLP, ZUNT ITALIANA Srl, Chero Piping S.p.a., KASRAVAND Co Isolation Joint Market Types: Rail Insulation Joints Female Preinsulated Joints Bonded Insulation Joints Pipe Insulation Joints Isolation Joint Market Applications: Gas Pipelines Oil Pipelines Others For Customization Report Drop Your Query Here: Competitive Landscape Competitor analysis best sections report compares progress leading players based crucial parameters, including market share, new developments, global reach, local competition, price, production. From nature competition future changes vendor landscape, report provides indepth analysis competition global Isolation Joint market. Key questions answered report: What growth potential Isolation Joint market? Which product segment grab lions share? Which regional market emerge frontrunner coming years? Which application segment grow robust rate? What growth opportunities emerge Isolation Joint industry years come? What key challenges global Isolation Joint market face future? Which leading companies global Isolation Joint market? Which key trends positively impacting market growth? Which growth strategies considered players sustain hold global Isolation Joint market TOC 1 Isolation Joint Market Overview 1.1 Product Overview Scope Isolation Joint 1.2 Isolation Joint Segment Type 1.2.1 Global Isolation Joint Market Size Growth Rate Analysis Type 2021 VS 2027 1.2.2 Rail Insulation Joints 1.2.3 Female Preinsulated Joints 1.2.4 Bonded Insulation Joints 1.2.5 Pipe Insulation Joints 1.3 Isolation Joint Segment Application 1.3.1 Global Isolation Joint Consumption Comparison Application: 2016 VS 2021 VS 2027 1.3.2 Gas Pipelines 1.3.3 Oil Pipelines 1.3.4 Others 1.4 Global Market Growth Prospects 1.4.1 Global Isolation Joint Revenue Estimates Forecasts 20162027 1.4.2 Global Isolation Joint Production Estimates Forecasts 20162027 1.5 Global Market Size Region 1.5.1 Global Isolation Joint Market Size Estimates Forecasts Region: 2016 VS 2021 VS 2027 1.5.2 North America Isolation Joint Estimates Forecasts 20162027 1.5.3 Europe Isolation Joint Estimates Forecasts 20162027 1.5.4 China Isolation Joint Estimates Forecasts 20162027 1.5.5 Japan Isolation Joint Estimates Forecasts 20162027 2 Market Competition Manufacturers 2.1 Global Isolation Joint Production Market Share Manufacturers 20162021 2.2 Global Isolation Joint Revenue Market Share Manufacturers 20162021 2.3 Isolation Joint Market Share Company Type Tier 1, Tier 2 Tier 3 2.4 Global Isolation Joint Average Price Manufacturers 20162021 2.5 Manufacturers Isolation Joint Production Sites, Area Served, Product Types 2.6 Isolation Joint Market Competitive Situation Trends 2.6.1 Isolation Joint Market Concentration Rate 2.6.2 Global 5 10 Largest Isolation Joint Players Market Share Revenue 2.6.3 Mergers Acquisitions, Expansion 3 Production Capacity Region 3.1 Global Production Isolation Joint Market Share Region 20162021 3.2 Global Isolation Joint Revenue Market Share Region 20162021 3.3 Global Isolation Joint Production, Revenue, Price Gross Margin 20162021 3.4 North America Isolation Joint Production 3.4.1 North America Isolation Joint Production Growth Rate 20162021 3.4.2 North America Isolation Joint Production, Revenue, Price Gross Margin 20162021 3.5 Europe Isolation Joint Production 3.5.1 Europe Isolation Joint Production Growth Rate 20162021 3.5.2 Europe Isolation Joint Production, Revenue, Price Gross Margin 20162021 3.6 China Isolation Joint Production 3.6.1 China Isolation Joint Production Growth Rate 20162021 3.6.2 China Isolation Joint Production, Revenue, Price Gross Margin 20162021 3.7 Japan Isolation Joint Production 3.7.1 Japan Isolation Joint Production Growth Rate 20162021 3.7.2 Japan Isolation Joint Production, Revenue, Price Gross Margin 20162021 4 Global Isolation Joint Consumption Region 4.1 Global Isolation Joint Consumption Region 4.1.1 Global Isolation Joint Consumption Region 4.1.2 Global Isolation Joint Consumption Market Share Region 4.2 North America 4.2.1 North America Isolation Joint Consumption Country 4.2.2 U.S. 4.2.3 Canada 4.3 Europe 4.3.1 Europe Isolation Joint Consumption Country 4.3.2 Germany 4.3.3 France 4.3.4 U.K. 4.3.5 Italy 4.3.6 Russia 4.4 Asia Pacific 4.4.1 Asia Pacific Isolation Joint Consumption Region 4.4.2 China 4.4.3 Japan 4.4.4 South Korea 4.4.5 Taiwan 4.4.6 Southeast Asia 4.4.7 India 4.4.8 Australia 4.5 Latin America 4.5.1 Latin America Isolation Joint Consumption Country 4.5.2 Mexico 4.5.3 Brazil 5 Production, Revenue, Price Trend Type 5.1 Global Isolation Joint Production Market Share Type 20162021 5.2 Global Isolation Joint Revenue Market Share Type 20162021 5.3 Global Isolation Joint Price Type 20162021 6 Consumption Analysis Application 6.1 Global Isolation Joint Consumption Market Share Application 20162021 6.2 Global Isolation Joint Consumption Growth Rate Application 20162021 7 Key Companies Profiled 7.1 Petrosadid Group 7.1.1 Petrosadid Group Isolation Joint Corporation Information 7.1.2 Petrosadid Group Isolation Joint Product Portfolio 7.1.3 Petrosadid Group Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.1.4 Petrosadid Group Main Business Markets Served 7.1.5 Petrosadid Group Recent DevelopmentsUpdates 7.2 GPT Industries EnPro Industries 7.2.1 GPT Industries EnPro Industries Isolation Joint Corporation Information 7.2.2 GPT Industries EnPro Industries Isolation Joint Product Portfolio 7.2.3 GPT Industries EnPro Industries Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.2.4 GPT Industries EnPro Industries Main Business Markets Served 7.2.5 GPT Industries EnPro Industries Recent DevelopmentsUpdates 7.3 ISPI 7.3.1 ISPI Isolation Joint Corporation Information 7.3.2 ISPI Isolation Joint Product Portfolio 7.3.3 ISPI Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.3.4 ISPI Main Business Markets Served 7.3.5 ISPI Recent DevelopmentsUpdates 7.4 iSystems IndustriesAkfel Commodities 7.4.1 iSystems IndustriesAkfel Commodities Isolation Joint Corporation Information 7.4.2 iSystems IndustriesAkfel Commodities Isolation Joint Product Portfolio 7.4.3 iSystems IndustriesAkfel Commodities Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.4.4 iSystems IndustriesAkfel Commodities Main Business Markets Served 7.4.5 iSystems IndustriesAkfel Commodities Recent DevelopmentsUpdates 7.5 RMA Kehl GmbH Co. KG 7.5.1 RMA Kehl GmbH Co. KG Isolation Joint Corporation Information 7.5.2 RMA Kehl GmbH Co. KG Isolation Joint Product Portfolio 7.5.3 RMA Kehl GmbH Co. KG Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.5.4 RMA Kehl GmbH Co. KG Main Business Markets Served 7.5.5 RMA Kehl GmbH Co. KG Recent DevelopmentsUpdates 7.6 Tube Turns Sypris Solutions 7.6.1 Tube Turns Sypris Solutions Isolation Joint Corporation Information 7.6.2 Tube Turns Sypris Solutions Isolation Joint Product Portfolio 7.6.3 Tube Turns Sypris Solutions Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.6.4 Tube Turns Sypris Solutions Main Business Markets Served 7.6.5 Tube Turns Sypris Solutions Recent DevelopmentsUpdates 7.7 Vatac 7.7.1 Vatac Isolation Joint Corporation Information 7.7.2 Vatac Isolation Joint Product Portfolio 7.7.3 Vatac Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.7.4 Vatac Main Business Markets Served 7.7.5 Vatac Recent DevelopmentsUpdates 7.8 IMAC Systems, 7.8.1 IMAC Systems, Isolation Joint Corporation Information 7.8.2 IMAC Systems, Isolation Joint Product Portfolio 7.8.3 IMAC Systems, Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.8.4 IMAC Systems, Main Business Markets Served 7.7.5 IMAC Systems, Recent DevelopmentsUpdates 7.9 Nupros . 7.9.1 Nupros . Isolation Joint Corporation Information 7.9.2 Nupros . Isolation Joint Product Portfolio 7.9.3 Nupros . Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.9.4 Nupros . Main Business Markets Served 7.9.5 Nupros . Recent DevelopmentsUpdates 7.10 Goodrich Gasket Pvt. Ltd. 7.10.1 Goodrich Gasket Pvt. Ltd. Isolation Joint Corporation Information 7.10.2 Goodrich Gasket Pvt. Ltd. Isolation Joint Product Portfolio 7.10.3 Goodrich Gasket Pvt. Ltd. Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.10.4 Goodrich Gasket Pvt. Ltd. Main Business Markets Served 7.10.5 Goodrich Gasket Pvt. Ltd. Recent DevelopmentsUpdates 7.11 Conti hemical oppany Radiatym 7.11.1 Conti hemical oppany Radiatym Isolation Joint Corporation Information 7.11.2 Conti hemical oppany Radiatym Isolation Joint Product Portfolio 7.11.3 Conti hemical oppany Radiatym Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.11.4 Conti hemical oppany Radiatym Main Business Markets Served 7.11.5 Conti hemical oppany Radiatym Recent DevelopmentsUpdates 7.12 ENGINEERS PARTNERS P.C. 7.12.1 ENGINEERS PARTNERS P.C. Isolation Joint Corporation Information 7.12.2 ENGINEERS PARTNERS P.C. Isolation Joint Product Portfolio 7.12.3 ENGINEERS PARTNERS P.C. Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.12.4 ENGINEERS PARTNERS P.C. Main Business Markets Served 7.12.5 ENGINEERS PARTNERS P.C. Recent DevelopmentsUpdates 7.13 Vee Kay Vikram Co. LLP 7.13.1 Vee Kay Vikram Co. LLP Isolation Joint Corporation Information 7.13.2 Vee Kay Vikram Co. LLP Isolation Joint Product Portfolio 7.13.3 Vee Kay Vikram Co. LLP Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.13.4 Vee Kay Vikram Co. LLP Main Business Markets Served 7.13.5 Vee Kay Vikram Co. LLP Recent DevelopmentsUpdates 7.14 ZUNT ITALIANA Srl 7.14.1 ZUNT ITALIANA Srl Isolation Joint Corporation Information 7.14.2 ZUNT ITALIANA Srl Isolation Joint Product Portfolio 7.14.3 ZUNT ITALIANA Srl Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.14.4 ZUNT ITALIANA Srl Main Business Markets Served 7.14.5 ZUNT ITALIANA Srl Recent DevelopmentsUpdates 7.15 Chero Piping S.p.a. 7.15.1 Chero Piping S.p.a. Isolation Joint Corporation Information 7.15.2 Chero Piping S.p.a. Isolation Joint Product Portfolio 7.15.3 Chero Piping S.p.a. Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.15.4 Chero Piping S.p.a. Main Business Markets Served 7.15.5 Chero Piping S.p.a. Recent DevelopmentsUpdates 7.16 KASRAVAND Co 7.16.1 KASRAVAND Co Isolation Joint Corporation Information 7.16.2 KASRAVAND Co Isolation Joint Product Portfolio 7.16.3 KASRAVAND Co Isolation Joint Production, Revenue, Price Gross Margin 20162021 7.16.4 KASRAVAND Co Main Business Markets Served 7.16.5 KASRAVAND Co Recent DevelopmentsUpdates 8 Isolation Joint Manufacturing Cost Analysis 8.1 Isolation Joint Key Raw Materials Analysis 8.1.1 Key Raw Materials 8.1.2 Key Raw Materials Price Trend 8.1.3 Key Suppliers Raw Materials 8.2 Proportion Manufacturing Cost Structure 8.3 Manufacturing Process Analysis Isolation Joint 8.4 Isolation Joint Industrial Chain Analysis 9 Marketing Channel, Distributors Customers 9.1 Marketing Channel 9.2 Isolation Joint Distributors List 9.3 Isolation Joint Customers 10 Market Dynamics 10.1 Isolation Joint Industry Trends 10.2 Isolation Joint Growth Drivers 10.3 Isolation Joint Market Challenges 10.4 Isolation Joint Market Restraints 11 Production Supply Forecast 11.1 Global Forecasted Production Isolation Joint Region 20222027 11.2 North America Isolation Joint Production, Revenue Forecast 20222027 11.3 Europe Isolation Joint Production, Revenue Forecast 20222027 11.4 China Isolation Joint Production, Revenue Forecast 20222027 11.5 Japan Isolation Joint Production, Revenue Forecast 20222027 12 Consumption Demand Forecast 12.1 Global Forecasted Demand Analysis Isolation Joint 12.2 North America Forecasted Consumption Isolation Joint Country 12.3 Europe Market Forecasted Consumption Isolation Joint Country 12.4 Asia Pacific Market Forecasted Consumption Isolation Joint Region 12.5 Latin America Forecasted Consumption Isolation Joint Country 13 Forecast Type Application 20222027 13.1 Global Production, Revenue Price Forecast Type 20222027 13.1.1 Global Forecasted Production Isolation Joint Type 20222027 13.1.2 Global Forecasted Revenue Isolation Joint Type 20222027 13.1.3 Global Forecasted Price Isolation Joint Type 20222027 13.2 Global Forecasted Consumption Isolation Joint Application 20222027 14 Research Finding Conclusion 15 Methodology Data Source 15.1 MethodologyResearch Approach 15.1.1 Research ProgramsDesign 15.1.2 Market Size Estimation 15.1.3 Market Breakdown Data Triangulation 15.2 Data Source 15.2.1 Secondary Sources 15.2.2 Primary Sources 15.3 Author List 15.4 Disclaimer In Order place Purchase Query Click Here: : QYResearch pursuits high product quality belief quality soul business. Through years effort supports huge number customer supports, QYResearch consulting group accumulated creative design methods highquality markets investigation research team rich experience. Today, QYResearch brand quality assurance consulting industry. 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https://themreport.com/news/data/10-06-2023/lenders-adopt-ai
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Lenders Adopting AI and Machine Learning to Improve Efficiency – theMReport.com
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Lenders Adopting AI and Machine Learning to Improve Efficiency – theMReport.com
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Home >> Commentary >> Lenders Adopting AI and Machine Learning to Improve Efficiency
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Lenders Adopting AI and Machine Learning to Improve Efficiency
in Commentary, Daily Dose, Data, Default Servicing, Featured, Government, Government, GSEs, Lending and Originations, Market Studies, Market Trends, News, Tech, Tech, Technology
5 hours ago
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Businesses are increasingly leveraging digital technologies to reduce errors and costs, speed up transactions, and drive enhanced and better customer service according to Peter Ghavami, the VP of Modeling and Data Sciences for Fannie Mae, and over the past decade or so, artificial intelligence (AI) and machine learning (ML) has gained traction across a variety of industries.
In the mortgage industry, areas of AI/ML applications include automation and streamlining manual processes such as fraud detection and clerical anomalies, assessing risk management, loss/default predictions, and analyzing customer behaviors to improve communication and personalization.
Building on word done in a previous Mortgage Lenders Sentiment Survey, Fannie Mae most recently re-surveyed lenders to assess how their views and experiences with AI/ML have changed.
Despite the growing ubiquity of AI/ML, we found that mortgage lenders' familiarity, current adoption status, and adoption challenges with the technologies have remained largely unchanged over the last five years. Specific findings of the 2023 survey include:
Nearly two-thirds of lenders (65%) in 2023 said that they are familiar with AI/ML technology, consistent with 2018 (63%).
Regarding adoption status, significantly fewer lenders in 2023 (7%) than in 2018 (14%) said they have deployed AI/ML. However, a significantly greater share said they have started deploying AI/ML in a limited or trial basis (22% in 2023 vs. 13% in 2018). Additionally, in the most recent survey, fewer lenders (29%) indicated that they expect to roll out AI/ML tools more broadly in the next two years compared to 2018 (38%).
Among lenders who have not used AI/ML technology, the biggest barriers to adoption in 2023 remained the same. These include integration complexity with current infrastructure, lack of proven record of success, and high costs. Mortgage banks are more likely than depository institutions to cite integration complexity as a serious challenge. Data security and privacy concerns have also grown significantly since 2018.
This year, lenders overwhelmingly cited improving operational efficiency as the primary motivation behind adopting AI/ML (73% in 2023 vs. 42% in 2018). The use case of enhancing the consumer/borrower experience faded significantly as a top reason (7% in 2023 vs. 41% in 2018).
Among the seven ideas tested in the survey3, using AI systems to automate compliance review was the most appealing to lenders, especially for depository institutions. The second-most appealing idea was anomaly-detection automation to help identify fraud or defects early in the underwriting process. When asked to recommend AI application ideas for the GSEs to develop for the mortgage industry, lenders pointed to appraisal automation, borrower income/employment verification, data/documentation reconciliation and standardization, and compliance management.
According to Fannie Mae, these survey results showed a clear shift in AI priorities and paint a more grounded picture of how AI might be leveraged among mortgage origination firms in the near and intermediate term. The mortgage industry consumes immense quantities of data from a wide variety of sources; this is a natural pain point for industry participants across the value chain. The latest results indicated that lenders most value AI applications that might help automate this sort of data processing and identify potential anomalies. Given the rising costs of today's business environment, AI applications intended to improve operational efficiency are clearly highly valued by lenders and could function as a starting point among industry stakeholders to encourage wider adoption.
Over the years, lenders have stressed the importance of the "human touch" in the mortgage business, particularly as it pertains to customer interactions. For their part, consumers have expressed a similar preference for human involvement during much of the home purchase process, which, for many, represents the largest financial transaction of their lives.
Regardless, as these technologies mature, we expect humans and AI/ML to play to their respective strengths within the mortgage industry, with the latter likely to handle more of the back-end processing and the former continuing to build and maintain the customer relationships necessary to drive sales.
artificial intelligence (AI) Fannie Mae Lenders machine learning (ML) Mortgage Lender Sentiment Survey (MLSS) 2023-10-06
Kyle G. Horst
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About Author: Kyle G. Horst
Kyle G. Horst is a reporter for DS News and MReport. A graduate of the University of Texas at Tyler, he has worked for a number of daily, weekly, and monthly publications in South Dakota and Texas. With more than 10 years of experience in community journalism, he has won a number of state, national, and international awards for his writing and photography. He most recently worked as editor of Community Impact Newspaper covering a number of Dallas-Ft. Worth communities on a hyperlocal level. Contact Kyle G. at [email protected].
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Unexpected New Listings Drop Home Prices for Third Straight Month
"An uptick in homes with reduced prices is a small break for buyers on top of the usual seasonal factors that align to make this first week in October the best week to buy. Yet, the larger context remains challenging. Buyers still struggle with the triple threat of rising listing prices, record-high mortgage rates, and limited inventory, making affordability a continued concern," said Danielle Hale, Chief Economist for Realtor.com.
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Lenders Adopting AI and Machine Learning to Improve Efficiency
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Lenders Adopting AI Machine Learning Improve Efficiency Your trusted source mortgage banking news Home DS5 Videos News Data Government Origination Secondary Market Servicing Technology Commentary Magazine Print Features Current Digital Issue Digital Archive Events Directories Black Book Red Book Best Data Analytics Best Origination Service Providers Best Valuations Providers 2021 Best Origination Tools Industry MVP June 2020 Industry MVP July 2020 Industry MVP November 2020 Become Contributor Media Kit Meet Our Team Careers More results... Generic selectors Exact matches title content Post Type Selectors Home >> Commentary >> Lenders Adopting AI Machine Learning Improve Efficiency Print This Post Lenders Adopting AI Machine Learning Improve Efficiency Commentary, Daily Dose, Data, Default Servicing, Featured, Government, Government, GSEs, Lending Originations, Market Studies, Market Trends, News, Tech, Tech, Technology 5 hours ago 12 Views Businesses increasingly leveraging digital technologies reduce errors costs, speed transactions, drive enhanced better customer service according Peter Ghavami, VP Modeling Data Sciences Fannie Mae, past decade so, artificial intelligence AI machine learning ML gained traction variety industries. In mortgage industry, areas AIML applications include automation streamlining manual processes fraud detection clerical anomalies, assessing risk management, lossdefault predictions, analyzing customer behaviors improve communication personalization. Building word previous Mortgage Lenders Sentiment Survey, Fannie Mae recently resurveyed lenders assess views experiences AIML changed. Despite growing ubiquity AIML, mortgage lenders familiarity, current adoption status, adoption challenges technologies remained largely unchanged years. Specific findings 2023 survey include: Nearly twothirds lenders 65 2023 said familiar AIML technology, consistent 2018 63. Regarding adoption status, significantly fewer lenders 2023 7 2018 14 said deployed AIML. However, significantly greater share said started deploying AIML limited trial basis 22 2023 vs. 13 2018. Additionally, recent survey, fewer lenders 29 indicated expect roll AIML tools broadly years compared 2018 38. Among lenders AIML technology, biggest barriers adoption 2023 remained same. These include integration complexity current infrastructure, lack proven record success, high costs. Mortgage banks likely depository institutions cite integration complexity challenge. Data security privacy concerns grown significantly 2018. This year, lenders overwhelmingly cited improving operational efficiency primary motivation adopting AIML 73 2023 vs. 42 2018. The use case enhancing consumerborrower experience faded significantly reason 7 2023 vs. 41 2018. Among seven ideas tested survey3, AI systems automate compliance review appealing lenders, especially depository institutions. The secondmost appealing idea anomalydetection automation help identify fraud defects early underwriting process. When asked recommend AI application ideas GSEs develop mortgage industry, lenders pointed appraisal automation, borrower incomeemployment verification, datadocumentation reconciliation standardization, compliance management. According Fannie Mae, survey results showed clear shift AI priorities paint grounded picture AI leveraged mortgage origination firms near intermediate term. The mortgage industry consumes immense quantities data wide variety sources; natural pain point industry participants value chain. The latest results indicated lenders value AI applications help automate sort data processing identify potential anomalies. Given rising costs todays business environment, AI applications intended improve operational efficiency clearly highly valued lenders function starting point industry stakeholders encourage wider adoption. Over years, lenders stressed importance human touch mortgage business, particularly pertains customer interactions. For part, consumers expressed similar preference human involvement home purchase process, which, many, represents largest financial transaction lives. Regardless, technologies mature, expect humans AIML play respective strengths mortgage industry, likely handle backend processing continuing build maintain customer relationships necessary drive sales. artificial intelligence AI Fannie Mae Lenders machine learning ML Mortgage Lender Sentiment Survey MLSS 20231006 Kyle G. Horst tweet Share Tagged with: artificial intelligence AI Fannie Mae Lenders machine learning ML Mortgage Lender Sentiment Survey MLSS Previous: Examining LongStanding Impacts Pandemic Housing Market Next: LGBTQ Renters Disclose Their Financial Barriers Homeownership About Author: Kyle G. Horst Kyle G. Horst reporter DS News MReport. A graduate University Texas Tyler, worked number daily, weekly, monthly publications South Dakota Texas. With 10 years experience community journalism, number state, national, international awards writing photography. He recently worked editor Community Impact Newspaper covering number DallasFt. Worth communities hyperlocal level. Kyle G. [emailprotected]. Related Articles Renting With Average Salary U.S. 4 hours ago HUD Announces Over 75M Loan Guarantee Commitments 4 hours ago LGBTQ Renters Disclose Their Financial Barriers Homeownership 5 hours ago Examining LongStanding Impacts Pandemic Housing Market 5 hours ago Nearly 2.5 Million U.S. Households Moved Into SFR Homes Over Last Year 7 hours ago Racial Equity Gap: A Call Action 1 day ago Renting With Average Salary U.S. 4 hours ago HUD Announces Over 75M Loan Guarantee Commitments 4 hours ago LGBTQ Renters Disclose Their Financial Barriers Homeownership 5 hours ago Lenders Adopting AI Machine Learning Improve Efficiency 5 hours ago Examining LongStanding Impacts Pandemic Housing Market 5 hours ago Popular Recent Comments Wells Fargos Chief Risk Officer Mike Loughlin Retire January 20, 2018 Nationstar Elects Bray Chairman Board July 7, 2016 DS5: Prospective Buyers Turning Reluctant May 4, 2020 DS5: What Does Economic Recovery From COVID19 Look Like? 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] | 1 | 5,135 |
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The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time – The Omaha Star
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The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time – The Omaha Star
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The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time
zenger.news
July 20, 2021
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7 Min Read
Sometimes, the best ideas come up in the shower. But other times, they come up following a conversation with someone who has a problem to solve.
The latter is the case when it comes to Optibus, an Israeli startup providing artificial intelligence, or AI, solutions to optimize public transportation.
“The original idea came from my father. He was, and still is, the CFO of one of the largest public transit companies in Israel,” says Optibus cofounder and CEO Amos Haggiag.
“He was telling me of the inefficiencies of transit planning and how people are making what he thinks are suboptimal decisions,” he explains. “Decisions are being based on people’s experience and not optimization or AI.
“He was telling me, ‘You’re studying math and computer science, maybe you can solve the problem.’”
Haggiag took up the challenge. He and his university friend-turned-Optibus CTO Eitan Yanovsky founded the Tel Aviv-based company in 2014, after a few years of learning about the field.
Optibus Optibus cofounder and CEO Amos Haggiag (left) with cofounder and CTO Eitan Yanovsky. (Courtesy of Optibus)
“We were at first really interested in the math aspect of the problem because it’s how to optimize supply with demand in a large-scale problem like a city or an entire country,” Haggiag notes. “It’s a very complicated problem and a very challenging mathematical problem.
“We started experimenting with data that we got from different companies in Israel, who were all really happy to share with us their data and feedback, and within time we began developing algorithms and a product.”
Since then, Optibus has raised a total of $160 million and has gone on to power transit planning and operations in almost 500 cities around the world.
How does Optibus work?
“It starts with the planning, where the bus will go, where the stops will be located,” Haggiag explains.
This means configuring the number of routes, their direction, the timetables and the frequencies based on ridership.
“The second step will be the resource allocation,” he adds. “You need to think about how many vehicles you need and what type.
“Then you also work with all the driver-related aspects — when will they come to work, how much they get paid when do they get a break.”
A rendering of an Optibus dashboard showing its impact analysis tool. (Courtesy of Optibus)
After the planning is done, it’s time to move on to operations, i.e. how to handle daily bumps such as sick drivers or traffic jams.
The system, Haggiag emphasizes, touches on all aspects of keeping public transit running smoothly and taking a load off people who used to have to do it in pen and paper or Excel.
“This really replaced very manual decisions that are not based on data,” he says. “It’s very hard for a human being to make decisions on a city-wide scale. It’s really hard to do it without something automatic. That’s the main innovation that we’re bringing to the field.”
Optibus allows them to enter different parameters and optimize the network automatically with advanced technology, he notes.
A rendering of a transit schedule automatically devised by Optibus. (Courtesy of Optibus)
Impact of Covid
Given that the vast majority of the people in the world don’t have a private car, the coronavirus crisis really showed how important a solution like Optibus is, Haggiag says.
“Public transit was heavily impacted negatively by Covid, because social distancing and public transportation don’t go well together,” he notes.
“The impact is definitely negative for the industry, but for Optibus the impact was opposite. We had one of the best years in 2020 because Optibus became a viable product especially for this situation,” he explains.
“With Covid, you need to cancel routes, limit passengers, open and reopen school bus routes. It becomes very dynamic transportation, which public transport agencies are not used to dealing with. Optibus is a great tool to drastically change from day to day.”
The Optibus team in Tel Aviv. (Courtesy of Optibus)
Looking forward, plans for the company are threefold.
“First, we’re expanding all over Europe, Latin America, the U.S. — where we’re already quite advanced — APAC and Africa. Second, we’re investing in the product and creating new products: real-time aspects of public transportation, not just planning side,” says Haggiag.
Regarding the issue of electric mobility, he says Optibus invested in making its product EV ready early on. This means configuring where to charge buses, how long to charge them and similar decisions that people won’t have to make on their own.
“Our system automatically makes all these decisions, based on what is optimal,” he says.
For more information, click here
The startup harnessing AI to make your bus arrive on time appeared first in Israel21C.
The post The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time appeared first on Zenger News.
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The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time
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The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time The Omaha Star Get The Paper: At Home Digitally Make A Donation At Home Digitally Make A Donation July 21, 2021 News Obituaries Editorials Religion Sports Entertainment Lifestyle Menu News Obituaries Editorials Religion Sports Entertainment Lifestyle The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time zenger.news July 20, 2021 0 15 7 Min Read Sometimes, best ideas come shower. But times, come following conversation problem solve. The case comes Optibus, Israeli startup providing artificial intelligence, AI, solutions optimize public transportation. The original idea came father. He was, is, CFO largest public transit companies Israel, says Optibus cofounder CEO Amos Haggiag. He telling inefficiencies transit planning people making thinks suboptimal decisions, explains. Decisions based peoples experience optimization AI. He telling me, Youre studying math science, maybe solve problem. Haggiag took challenge. He university friendturnedOptibus CTO Eitan Yanovsky founded Tel Avivbased company 2014, years learning field. Optibus Optibus cofounder CEO Amos Haggiag left cofounder CTO Eitan Yanovsky. Courtesy Optibus We interested math aspect problem optimize supply demand largescale problem like city entire country, Haggiag notes. Its complicated problem challenging mathematical problem. We started experimenting data got different companies Israel, happy share data feedback, time began developing algorithms product. Since then, Optibus raised total 160 million gone power transit planning operations 500 cities world. How Optibus work? It starts planning, bus go, stops located, Haggiag explains. This means configuring number routes, direction, timetables frequencies based ridership. The second step resource allocation, adds. You need think vehicles need type. Then work driverrelated aspects come work, paid break. A rendering Optibus dashboard showing impact analysis tool. Courtesy Optibus After planning done, time operations, i.e. handle daily bumps sick drivers traffic jams. The system, Haggiag emphasizes, touches aspects keeping public transit running smoothly taking load people pen paper Excel. This replaced manual decisions based data, says. Its hard human decisions citywide scale. Its hard automatic. Thats main innovation bringing field. Optibus allows enter different parameters optimize network automatically advanced technology, notes. A rendering transit schedule automatically devised Optibus. Courtesy Optibus Impact Covid Given vast majority people world dont private car, coronavirus crisis showed important solution like Optibus is, Haggiag says. Public transit heavily impacted negatively Covid, social distancing public transportation dont together, notes. The impact definitely negative industry, Optibus impact opposite. We best years 2020 Optibus viable product especially situation, explains. With Covid, need cancel routes, limit passengers, open reopen school bus routes. It dynamic transportation, public transport agencies dealing with. Optibus great tool drastically change day day. The Optibus team Tel Aviv. Courtesy Optibus Looking forward, plans company threefold. First, expanding Europe, Latin America, U.S. advanced APAC Africa. Second, investing product creating new products: realtime aspects public transportation, planning side, says Haggiag. Regarding issue electric mobility, says Optibus invested making product EV ready early on. This means configuring charge buses, long charge similar decisions people wont own. Our automatically makes decisions, based optimal, says. For information, click The startup harnessing AI bus arrive time appeared Israel21C. The post The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time appeared Zenger News. Tags:black wall street economic development entrepreneur finance homebased tulsa About Authorzenger.news Previous Post Several Existing Drugs May Be Effective Against COVID19 Recent Posts The Startup Harnessing Artificial Intelligence To Make Your Bus Arrive On Time Several Existing Drugs May Be Effective Against COVID19 Relief Coming For Gas Prices, But Be Patient Controversial CharloCastao Draw Demands A Rematch United States Charges Four Chinese Nationals For Cyber Espionage Recent CommentsArchives July 2021 June 2021 May 2021 April 2021 March 2021 February 2021 January 2021 June 2020 March 2020 Categories Announcements Basketball Business Classifieds Editorials Education Entertainment Family Featured Finance Food History Lifestyle Local Local Lifestyle News Obituaries Publishers Pen Religion Sports Spotlight Syndicated Uncategorized Meta Log Entries feed Comments feed Categories Announcements 107 Basketball 1 Business 8 Classifieds 4 Tagsacademics black wall street Clothing contests Digital economic development entrepreneur family week featured finance girlsinc holistic homebased lifestyle omaha publisherspen racial justice scholarships syndication tulsa vegan Video Related Posts News Three Legacy Leaders Recognized By Bacon On On February 20 ceremony Compassion Action, . 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] | 1 | 5,136 |
https://thewest.com.au/business/markets/appen-to-cut-staff-raise-60m-as-ai-challenges-persist-c-10667173
| 2023-05-16T00:00:00 |
en
|
Appen to cut staff, raise $60m as AI challenges persist | The West Australian
|
Appen to cut staff, raise $60m as AI challenges persist | The West Australian
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Mad Monday: Which AFL team is the worst of the worst?Chevron Right IconMarketsAppen to cut staff, raise $60m as AI challenges persistDerek RoseAAPTue, 16 May 2023 11:43AMPremiumStruggling tech company company Appen has launched a $60 million equity raising at a deep discount to shore up its balance sheet after missing the initial boom in the next phase of the artificial intelligence revolution.Appen said on Tuesday it would raise funds at $1.85 per share, a 19.6 per cent discount to Monday’s closing price, in part to fund one-off costs related to laying off staff to save $46m annually.PremiumSubscribers with digital access can view this article.Already a subscriber?Login here.Ts and Cs ApplyEveryday Digital$1 per dayAccess to all digital contentRegional online newsThe West AppDaily digital edition newspaperSubscriber rewardsWeekend papers deliveredSubscribeCancel anytime. 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Appen to cut staff, raise $60m as AI challenges persist
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Appen cut staff, raise 60m AI challenges persist 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 AdTuesday, 16 May 2023WATCH AT 7PM ON 7MATE Mad Monday: Which AFL team worst worst?Chevron Right IconMarketsAppen cut staff, raise 60m AI challenges persistDerek RoseAAPTue, 16 May 2023 11:43AMPremiumStruggling tech company company Appen launched 60 million equity raising deep discount shore balance sheet missing initial boom phase artificial intelligence revolution.Appen said Tuesday raise funds 1.85 share, 19.6 cent discount Mondays closing price, fund oneoff costs related laying staff save 46m annually.Premiumrs digital access view article.Already subscriber? here.Ts Cs ApplyEveryday Digital1 dayAccess digital contentRegional online newsThe West AppDaily digital edition newspaperr rewardsWeekend papers deliveredCancel anytime. Min cost 28.Weekend Papers Everyday Digital9 weekAccess digital contentWeekend papers deliveredRegional online newsThe West AppDaily digital edition newspaperr rewardsCancel anytime. Min cost 36.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 siteMarkets misunderstand RBA reactions rates calls: researchPremiumAMS supply deal US magnets maker Noveon PremiumNewmont chief consider WA assets 28.8b takeover PremiumJames Hardie profit price risesPremiumAustralian shares track sixth quiet sessionSt Barbara sidelines Silver Lake Genesis improves offer Top StoriesMade payPremiumSENDING A MESSAGE: WA drug smugglers fate breaking breakingno excusesCommentsPremium breakingMcGowan confirms 30m plus Banksia Hill riot damage billThe West Australian exclusiveThe West Australian exclusiveWARNING: GRAPHIC VISIONVideoPremiumThe West Australian exclusiveWATCH: Teachers caught crossfire girl brutally bashedOur 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
| 2,023 |
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https://thinkcuriouser.com/finance/801699/data-science-and-machine-learning-service-market-2020-detail-analysis-for-business-development-and-top-manufacturers-international-business-machine-fico-att-hewlett-packard-enterprise-develo/
| 2020-11-19T00:00:00 |
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Data Science and Machine Learning Service Market 2020 Detail Analysis for Business Development and Top Manufacturers – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google – The Think Curiouser
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Data Science and Machine Learning Service Market 2020 Detail Analysis for Business Development and Top Manufacturers – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google – The Think Curiouser
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Data Science and Machine Learning Service Market 2020 Detail Analysis for Business Development and Top Manufacturers – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google
Post author
By anita_adroit
Post date
November 19, 2020
“
Industry research 2020 debates on breakthroughs and rapid evolutions of global Data Science and Machine Learning Service market with a concise summary of market drivers, restraints, confrontations, and regulative landscape of the industry. It tracks growth opportunities, new entrants and their fruitful strategies to elate market contribution and expansion. What further Data Science and Machine Learning Service market research offers is getting a clear understanding of each notation, terminologies, conventions, and abbreviations used to describe the in-detail essence of the Data Science and Machine Learning Service industry. Major segments of the Data Science and Machine Learning Service study include manufacturers, applications, product types and geographical regions. It reveals top manufacturers of the Data Science and Machine Learning Service industry on the basis of enterprise profile, their market major sales region, products offered, year of enactment, manufacturing base, and its competitors. Proceeding regions of Data Science and Machine Learning Service industry include all the developed and developing regions of the world such as North America, South America, Asia-Pacific, Europe, the Middle East and Africa.
Request for a sample report here https://www.orbisresearch.com/contacts/request-sample/4640291
Major Data Science and Machine Learning Service market players include:
International Business Machine
Fico
At&T
Hewlett-Packard Enterprise Development
Microsoft
ZS
Amazon Web Services
Bigml
Mango Solutions
LatentView Analytics
DataScience.com
Google
Data Science and Machine Learning Service Market Segmentation study:
Data Science and Machine Learning Service market in North America and South America being economically developed regions will show a greater elevation in next six years. Other developing regions such as Asia-Pacific, the Middle East, and Africa will show an improved level of digitization in terms of Data Science and Machine Learning Service market share, revenue, and profit. Major product types may vary from company to company.
Basic types of Data Science and Machine Learning Service market product common among all the companies include:
Consulting
Management Solution
Applications in key areas of Data Science and Machine Learning Service market such as:
Banking
Insurance
Retail
Media and Entertainment
It enthusiastically observes parental market of Data Science and Machine Learning Service industry to predict future market scope and tendencies. Minute criterions of parent market help in pointing out on what specifications the lead players need to work on. It handovers Data Science and Machine Learning Service market trends and competitive landscape of existing and emerging markets thus paving a path for players to exhilarate their position in the Data Science and Machine Learning Service market. Indispensable bits such as market share, business accessions, market revenue, the global and regional share is evinced in the research. Simultaneously, it illustrates Data Science and Machine Learning Service major innovations, developments, and reinforcements transpiring in the Data Science and Machine Learning Service market so as to survey the forthcoming Data Science and Machine Learning Service market opportunities and conveniences. Well, the structured format of data in the form of tables and graphs enables the reader of the research to get a clear understanding of entire Data Science and Machine Learning Service market rundown and physical arrangements of the market.
Ask our Expert if You Have a Query at: https://www.orbisresearch.com/contacts/enquiry-before-buying/4640291
Data Science and Machine Learning Service market connotations:
The research commences with Data Science and Machine Learning Service market product introduction, product scope, product and market overview, market risk, market opportunities, market driving forces and market tendencies. Later, it sorts out major players of the Data Science and Machine Learning Service with revenue, sales, price, and cost of Data Science and Machine Learning Service product from 2020 to 2027. The research discusses the competitive scenario of Data Science and Machine Learning Service market, antagonism between the players considering their annual revenue, sales and market share from 2020 to 2027. It analyzes major geographical zones, market share, gross margin, revenue, sales of major countries of key regions. Different product types, Data Science and Machine Learning Service applications and end-users of Data Science and Machine Learning Service industry are listed in the next unit of the research.
Six years of forecast period mentioned in the Data Science and Machine Learning Service research on the basis of type, application and geographical zones helps in acquiring considerable revenue and sales of Data Science and Machine Learning Service market. The end portion of the Data Science and Machine Learning Service research describes the sales channel (including direct and indirect marketing strategies), traders, suppliers, research findings, results and data sources of the Data Science and Machine Learning Service industry. Abbreviations, acronyms, methodology, and appendix is attached at the extreme end of the research.
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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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Data Science and Machine Learning Service Market 2020 Detail Analysis for Business Development and Top Manufacturers
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Data Science Machine Learning Service Market 2020 Detail Analysis Business Development Top Manufacturers International Business Machine, Fico, AtT, HewlettPackard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, , Google The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Finance News Data Science Machine Learning Service Market 2020 Detail Analysis Business Development Top Manufacturers International Business Machine, Fico, AtT, HewlettPackard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, , Google Post author By anita_adroit Post date November 19, 2020 Industry research 2020 debates breakthroughs rapid evolutions global Data Science Machine Learning Service market concise summary market drivers, restraints, confrontations, regulative landscape industry. It tracks growth opportunities, new entrants fruitful strategies elate market contribution expansion. What Data Science Machine Learning Service market research offers getting clear understanding notation, terminologies, conventions, abbreviations indetail essence Data Science Machine Learning Service industry. Major segments Data Science Machine Learning Service study include manufacturers, applications, product types geographical regions. It reveals manufacturers Data Science Machine Learning Service industry basis enterprise profile, market major sales region, products offered, year enactment, manufacturing base, competitors. Proceeding regions Data Science Machine Learning Service industry include developed developing regions world North America, South America, AsiaPacific, Europe, Middle East Africa. Request sample report Major Data Science Machine Learning Service market players include: International Business Machine Fico AtT HewlettPackard Enterprise Development Microsoft ZS Amazon Web Services Bigml Mango Solutions LatentView Analytics Google Data Science Machine Learning Service Market Segmentation study: Data Science Machine Learning Service market North America South America economically developed regions greater elevation years. Other developing regions AsiaPacific, Middle East, Africa improved level digitization terms Data Science Machine Learning Service market share, revenue, profit. Major product types vary company company. Basic types Data Science Machine Learning Service market product common companies include: Consulting Management Solution Applications key areas Data Science Machine Learning Service market as: Banking Insurance Retail Media Entertainment It enthusiastically observes parental market Data Science Machine Learning Service industry predict future market scope tendencies. Minute criterions parent market help pointing specifications lead players need work on. It handovers Data Science Machine Learning Service market trends competitive landscape existing emerging markets paving path players exhilarate position Data Science Machine Learning Service market. Indispensable bits market share, business accessions, market revenue, global regional share evinced research. Simultaneously, illustrates Data Science Machine Learning Service major innovations, developments, reinforcements transpiring Data Science Machine Learning Service market survey forthcoming Data Science Machine Learning Service market opportunities conveniences. Well, structured format data form tables graphs enables reader research clear understanding entire Data Science Machine Learning Service market rundown physical arrangements market. Ask Expert You Have Query at: Data Science Machine Learning Service market connotations: The research commences Data Science Machine Learning Service market product introduction, product scope, product market overview, market risk, market opportunities, market driving forces market tendencies. Later, sorts major players Data Science Machine Learning Service revenue, sales, price, cost Data Science Machine Learning Service product 2020 2027. The research discusses competitive scenario Data Science Machine Learning Service market, antagonism players considering annual revenue, sales market share 2020 2027. It analyzes major geographical zones, market share, gross margin, revenue, sales major countries key regions. Different product types, Data Science Machine Learning Service applications endusers Data Science Machine Learning Service industry listed unit research. Six years forecast period mentioned Data Science Machine Learning Service research basis type, application geographical zones helps acquiring considerable revenue sales Data Science Machine Learning Service market. The end portion Data Science Machine Learning Service research describes sales channel including direct indirect marketing strategies, traders, suppliers, research findings, results data sources Data Science Machine Learning Service industry. Abbreviations, acronyms, methodology, appendix attached extreme end research. : 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 Email ID: [emailprotected] Direct Purchase Report @ Tofu Tofu Ingredients Market Make Great Impact near Future 20202028 Personal Identity Management Market 2020 Detail Analysis Business Development Top Manufacturers Symantec Centrify, Experian ., MobileIron, Oracle Corporation, One .,, Okta ., CA Technologies, VMware, ., Alfresco Software, Kaspersky Lab, SAP, IBM Corporation, Centrify Corporation, Microsoft Corporation Space Energy News Finance for: Recent Posts Aggregate Concrete Market Analysis 20202025 Types, Applications 11 Key Players Cimpor, Cemex, LafargeHolcim, HeidelbergCement Group, More Energy Storage Software Market Outlook 2027 Industry Growth And Competitive Landscape Trends By Organizations Pason Power, Fluence, Sunverge Energy, Stem, ., Powin Energy, Growing Energy Labs, . Geli, ENGIE Storage Services, Doosan GridTech, Greensmith, Leading ESS Software Companies, IHI Corp. 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] | 1 | 5,138 |
https://thinkcuriouser.com/uncategorized/679415/artificial-intelligence-in-retail-market-how-will-market-grow-with-higher-rate-for-the-upcoming-years-2020-2027/
| 2020-11-12T00:00:00 |
en
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Artificial Intelligence in Retail Market: How will Market Grow with Higher rate For the Upcoming years 2020-2027 – The Think Curiouser
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Artificial Intelligence in Retail Market: How will Market Grow with Higher rate For the Upcoming years 2020-2027 – The Think Curiouser
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Artificial Intelligence in Retail Market: How will Market Grow with Higher rate For the Upcoming years 2020-2027
Post author
By Elena Gomez
Post date
November 12, 2020
Global Artificial Intelligence in Retail Market: Overview
Global Artificial Intelligence in Retail market is at the centre stage as it is being considered as one of the most interesting businesses for set up in recent times. Indeed, even with the continuous COVID-19 pandemic, it has enlisted huge income development, that is diametrically opposite to other market portions. If the previous decade is also considered, the patterns uncovered a less tempestuous market that pushed many organizations to explore new business opportunities.
The Global Artificial Intelligence in Retail market report is intended to offer various advantages going from market rivalry, outer components, executive management and income related decisions for the impending decade. The following decade is being advocated as the ‘post-COVID market’. It will be dominated by those organizations that will offer client driven administrations. To get the biggest chunk of the market, organizations that diffused their contributions with the most recent accessible innovation will guide the market in the next quarters.
Get a sample of the report @ https://www.verifiedmarketresearch.com/download-sample/?rid=29895
The Global Artificial Intelligence in Retail market report was designed with data filtered out from huge databases across the globe for a long duration of time. If the business associations want to have productive results, then they must follow all the focused movements referenced in the report.
Preferences related with the Global Artificial Intelligence in Retail market are likewise featured in the report so an undertaking can zero in on the particular fragment, on the off chance that they need to. Besides, getting an essential thought of the market will help the organizations in framing a blue print of the moves that can be made in the forthcoming years. As the field-tested strategy is a vital part for cruising the organizations through unanticipated conditions, a thorough study of the market becomes a necessary to step to be taken.
The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:
Salesforce
IBM Corporation
Amazon Web Services
Sentient technologies
Oracle
SAP
Intel
NVIDIA
Google
Microsoft Corporation and ViSenze
The report offers a comprehensive analysis of the Artificial Intelligence in Retail market inclusive of product portfolio, categories, applications, and a comprehensive analysis of the value chain structure. The study investigates several factors influencing the growth of the market and provides a competitive advantage to the readers.
The Artificial Intelligence in Retail market report is an investigative study that provides insights into opportunities, limitations, and barriers encountered by the companies that influence or hinder the growth of the industry. Overall the report provides valuable information and an overview of the market scenario to gain a better understanding of the market.
Request a discount on the report @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=29895
Global Artificial Intelligence in Retail Market, By Technology
• Natural Language Processing• Machine Learning and Deep Learning• Others
Artificial Intelligence in Retail Market, By Solution
• Visual Search• Virtual Assistant• Product Recommendation and Planning• Price Optimization• Customer Relationship Management• Others
Artificial Intelligence in Retail Market, By Application
• In-Store Visual Monitoring and Surveillance• Market Forecasting• Predictive Merchandising• Programmatic Advertising• Others
The report covers an extensive regional analysis and market estimation in each region and covers key geographical regions such as North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.
To read more about the report, visit @ https://www.verifiedmarketresearch.com/product/Artificial-Intelligence-in-Retail-Market/
Key Point Summary of the Report:
Comprehensive analysis of the market share, market size, and growth rate during the forecast period
Segmentation of market on the basis of types, applications, leading regions, market value and volume, industry verticals, and end-user industries
Accurate market forecast considering the historical data, current market scenario, and a futuristic outlook
Brief overview and understanding of the demand and supply ratio, production and consumption rates, and competitive landscape mapping
In-depth regional analysis and market forecast for leading geographies of the world
Extensive analysis using advanced analytical tools such as SWOT analysis, Porter’s Five Forces analysis, feasibility analysis, and investment return analysis to give an accurate insight into the market and its players
Buy now complete report Click here @ https://www.verifiedmarketresearch.com/select-licence/?rid=29895
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Verified Market Research is a leading Global Research and Consulting firm servicing over 5000+ customers. Verified Market Research provides advanced analytical research solutions while offering information enriched research studies. We offer insight into strategic and growth analyses, Data necessary to achieve corporate goals, and critical revenue decisions.
Our 250 Analysts and SME’s offer a high level of expertise in data collection and governance use industrial techniques to collect and analyze data on more than 15,000 high impact and niche markets. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise, and years of collective experience to produce informative and accurate research.
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Artificial Intelligence in Retail Market: How will Market Grow with Higher rate For the Upcoming years 2020-2027
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Artificial Intelligence Retail Market: How Market Grow Higher rate For Upcoming years 20202027 The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Uncategorized Artificial Intelligence Retail Market: How Market Grow Higher rate For Upcoming years 20202027 Post author By Elena Gomez Post date November 12, 2020 Global Artificial Intelligence Retail Market: Overview Global Artificial Intelligence Retail market centre stage considered interesting businesses set recent times. Indeed, continuous COVID19 pandemic, enlisted huge income development, diametrically opposite market portions. If previous decade considered, patterns uncovered tempestuous market pushed organizations explore new business opportunities. The Global Artificial Intelligence Retail market report intended offer advantages going market rivalry, outer components, executive management income related decisions impending decade. The following decade advocated postCOVID market. It dominated organizations offer client driven administrations. To biggest chunk market, organizations diffused contributions recent accessible innovation guide market quarters. Get sample report @ The Global Artificial Intelligence Retail market report designed data filtered huge databases globe long duration time. If business associations want productive results, follow focused movements referenced report. Preferences related Global Artificial Intelligence Retail market likewise featured report undertaking zero particular fragment, chance need to. Besides, getting essential thought market help organizations framing blue print moves forthcoming years. As fieldtested strategy vital cruising organizations unanticipated conditions, thorough study market necessary step taken. The report covers extensive analysis key market players market, business overview, expansion plans, strategies. The key players studied report include: Salesforce IBM Corporation Amazon Web Services Sentient technologies Oracle SAP Intel NVIDIA Google Microsoft Corporation ViSenze The report offers comprehensive analysis Artificial Intelligence Retail market inclusive product portfolio, categories, applications, comprehensive analysis value chain structure. The study investigates factors influencing growth market provides competitive advantage readers. The Artificial Intelligence Retail market report investigative study provides insights opportunities, limitations, barriers encountered companies influence hinder growth industry. Overall report provides valuable information overview market scenario gain better understanding market. Request discount report @ Global Artificial Intelligence Retail Market, By Technology Natural Language Processing Machine Learning Deep Learning Others Artificial Intelligence Retail Market, By Solution Visual Virtual Assistant Product Recommendation Planning Price Optimization Customer Relationship Management Others Artificial Intelligence Retail Market, By Application InStore Visual Monitoring Surveillance Market Forecasting Predictive Merchandising Programmatic Advertising Others The report covers extensive regional analysis market estimation region covers key geographical regions North America, Europe, AsiaPacific, Latin America, Middle East Africa. To read report, visit @ Key Point Summary Report: Comprehensive analysis market share, market size, growth rate forecast period Segmentation market basis types, applications, leading regions, market value volume, industry verticals, enduser industries Accurate market forecast considering historical data, current market scenario, futuristic outlook Brief overview understanding demand supply ratio, production consumption rates, competitive landscape mapping Indepth regional analysis market forecast leading geographies world Extensive analysis advanced analytical tools SWOT analysis, Porters Five Forces analysis, feasibility analysis, investment return analysis accurate insight market players Buy complete report Click @ Thank reading report. For queries, connect know report customization. Our team ensure report customized accurately meet requirements. About us: Verified Market Research leading Global Research Consulting firm servicing 5000 customers. Verified Market Research provides advanced analytical research solutions offering information enriched research studies. We offer insight strategic growth analyses, Data necessary achieve corporate goals, critical revenue decisions. Our 250 Analysts SMEs offer high level expertise data collection governance use industrial techniques collect analyze data 15,000 high impact niche markets. Our analysts trained combine modern data collection techniques, superior research methodology, expertise, years collective experience produce informative accurate research. us: Mr. Edwyne Fernandes US: 1 6507814080UK: 44 2034119686APAC: 91 9028635784US TollFree: 1 8007821768 Email: [emailprotected] Trending: Food Traceability Technology Market Research Report 20202026Top Players: Honeywell, Intelex Technologies, SAP, Bcfooderp, Trimble, Food Decision Software, JustFoodERP, IBM, Intact, Mass Group Trending: Spices Herbs Market Research Report 20202026Top Players: McCormick Company, Olam International, Royal Spices, Prymat, Krauter Mix GmbH, Worlee NaturProdukte, Elite Spice, DF World Spices, Mahashian Di Hatti, The British Pepper Spice, Koninklijke Euroma, Everest Spices, Paulig Group, Verstegen Spices Sauces, TOUTON, SOLINA GROUP, Cinnatopia, Sleaford Quality Foods Space Energy News Finance for: Recent Posts Global Detergent Raw Materials Market Growth Future Development Prospects Analyzed Forecast 2026 including Key players Acid Proof Lining Market: Industry Development Scenario Forecast 2027 Global Ketone Market Size And Forecast 20202026 With Post Impact Of Covid19 By Top Leading Players Balsamic Vinegar Market Latest Scenario On Innovation, Revolutionary Opportunities Top Consumers 2026 Advertising Video Production Industry 2020 Global Market Outlook, Capacity Capital Expenditure Forecasts 2020 The Think Curiouser Powered WordPress To Up
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] | 1 | 5,139 |
https://ticker.tv/news/how-to-change-your-snapchat-ai-gender-with-the-gender-swap-filter/85492/
| 2023-10-14T00:00:00 |
en
|
How to Change Your Snapchat AI Gender Using the “Gender Swap” Filter
|
How to Change Your Snapchat AI Gender Using the “Gender Swap” Filter Skip to contentSaturday, October 14, 2023TickerTV NewsConnecting the World: Unveiling the Power and Pitfalls of Social Media
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HomeNewsHow to Change Your Snapchat AI Gender Using the “Gender Swap” Filter
How to Change Your Snapchat AI Gender Using the “Gender Swap” Filter
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Snapchat
WhatsApp
14 October 2023 Betty DavisSnapchat, the popular social media app, provides a range of entertaining filters that allow users to transform their appearance. One of these filters, called the “Gender Swap” filter, enables individuals to experiment with their gender presentation in photos and videos. If you’re interested in trying out this filter, follow our step-by-step guide.To start, open the Snapchat app on your mobile device and make sure you’re logged into your account. Once you’re in the app, tap on the camera icon located at the bottom center of the screen to access the camera screen. This is where you can apply filters and capture photos or videos.To activate the filters, swipe from left to right on the camera screen until you find the “Gender Swap” filter. This filter is usually represented an icon featuring both a male and female face. Once you’ve located the filter, tap on it to apply it to your camera view.As soon as you’ve applied the “Gender Swap” filter, you’ll notice your appearance changing to that of the opposite gender. At this point, you can go ahead and take a photo or record a video pressing the capture button as you normally would on Snapchat.After capturing your snap, you have several options. You can save it to your device’s gallery, send it to friends, or post it to your Snapchat story. If you wish to return to your original appearance, simply swipe left or right to access other filters or remove the “Gender Swap” filter.Remember that Snapchat’s filters, including the “Gender Swap” filter, are designed for entertainment purposes and should be used responsibly and with respect for gender diversity. Enjoy experimenting with your appearance and have fun creating unique snaps!Source: Kahawa Tungu – [email protected] or WhatsApp +254707482874Post navigationHow to Clear WhatsApp Cache and Improve PerformanceHow to Watch the UCLA vs. Oregon State Game: Live Stream and VPN Options
Betty Davis
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5 August 2023 Tanya KingSearchSearchRecent PostsHow to Watch Auto Racing Action on Fubo: IMSA Weathertech Championship Race, NASCAR Cup Series, NASCAR Xfinity Racing Series, and UCI BMX Racing World CupHow to Watch the UCLA vs. Oregon State Game: Live Stream and VPN OptionsHow to Change Your Snapchat AI Gender Using the “Gender Swap” FilterHow to Clear WhatsApp Cache and Improve PerformancePreview: James Madison Dukes vs. Georgia Southern EaglesRecent CommentsNo comments to show.
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How to Change Your Snapchat AI Gender Using the “Gender Swap” Filter
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How Change Your Snapchat AI Gender Using Gender Swap Filter Skip contentSaturday, October 14, 2023TickerTV NewsConnecting World: Unveiling Power Pitfalls Social Media MenuNewsFacebookInstagramLinkedInPinterestRedditSnapchatTelegramTikTokTwitterWeChatWhatsAppYouTubeNetflix for: HomeNewsHow Change Your Snapchat AI Gender Using Gender Swap Filter How Change Your Snapchat AI Gender Using Gender Swap Filter News Snapchat WhatsApp 14 October 2023 Betty DavisSnapchat, popular social media app, provides range entertaining filters allow users transform appearance. One filters, called Gender Swap filter, enables individuals experiment gender presentation photos videos. If youre interested trying filter, follow stepbystep guide.To start, open Snapchat app mobile device sure youre logged account. Once youre app, tap camera icon located center screen access camera screen. This apply filters capture photos videos.To activate filters, swipe left right camera screen Gender Swap filter. This filter usually represented icon featuring male female face. Once youve located filter, tap apply camera view.As soon youve applied Gender Swap filter, youll notice appearance changing opposite gender. At point, ahead photo record video pressing capture button normally Snapchat.After capturing snap, options. You save devices gallery, send friends, post Snapchat story. If wish return original appearance, simply swipe left right access filters remove Gender Swap filter.Remember Snapchats filters, including Gender Swap filter, designed entertainment purposes responsibly respect gender diversity. Enjoy experimenting appearance fun creating unique snapsSource: Kahawa Tungu [emailprotected] WhatsApp 254707482874Post navigationHow Clear WhatsApp Cache Improve PerformanceHow Watch UCLA vs. Oregon State Game: Live Stream VPN Options Betty Davis Related Posts Vivo V29e Review: A Stylish MidRange Smartphone 5 September 2023 Tanya King Meta Struggles OpenSource Competition Intensifies 22 September 2023 Cheryl King Kyiv: Ukraine Claims Sea Drone Attack Russian Naval Base 5 August 2023 Tanya KingRecent PostsHow Watch Auto Racing Action Fubo: IMSA Weathertech Championship Race, NASCAR Cup Series, NASCAR Xfinity Racing Series, UCI BMX Racing World CupHow Watch UCLA vs. Oregon State Game: Live Stream VPN OptionsHow Change Your Snapchat AI Gender Using Gender Swap FilterHow Clear WhatsApp Cache Improve PerformancePreview: James Madison Dukes vs. Georgia Southern EaglesRecent CommentsNo comments show. .
| 2,023 |
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] | 1 | 5,140 |
https://timesofindia.indiatimes.com/business/india-business/after-ios-chatgpt-rolls-out-android-app-in-india/articleshow/102120622.cms
| 2023-07-26T00:00:00 |
en
|
After iOS, ChatGPT rolls out Android app in India - Times of India
|
After iOS, ChatGPT rolls out Android app in India - Times of IndiaEditionININUSSign InTOIBusinessIndia BusinessInternational BusinessCryptocurrencyFinancial CalculatorsBudget 2023MarketsWealthSensexPhotosVideosStartupsFAQsWeb StoriesBudgetIFSCPAN CardAadhaar CardIPOIncome TaxSavings Growth CalculatorNewsBusiness NewsIndia Business NewsAfter iOS, ChatGPT rolls out Android app in IndiaTrendingNirmala SitharamanITC DemergerIRCTC DownITR FilingBank Holidays in JulyNew Income tax slabs 2023-24Income tax calculatorNirmala SitharamanITC DemergerIRCTC DownITR FilingBank Holidays in JulyNew Income tax slabs 2023-24Income tax calculatorNirmala SitharamanITC DemergerIRCTC DownITR FilingBank Holidays in JulyNew Income tax slabs 2023-24Income tax calculatorAfter iOS, ChatGPT rolls out Android app in IndiaAgencies / Jul 26, 2023, 07:24 ISTShareAA+Text SizeSmallMediumLargeFollow us You're readingAfter iOS, ChatGPT rolls out Android app in IndiaThe Power of Mobility: Why prioritize bone and joint healthNuclear families, urban rush to boost retail salesL&T to buy back Rs 10,000cr shares, biggest this yearChatGPT is now available for Android users in the US, India, Bangladesh and Brazil, the viral chatbot’s owner OpenAI said on Tuesday, as it looks to take advantage of the popularity of the artificial intelligence tool. As AI becomes widely used in tasks such as content writing to coding, San Francisco-based OpenAI announced ChatGPT for Android last week to further expand its user base.ChatGPT, which was launched by the Sam Altman-led company in November last year, has been available on Apple’s iOS platform since May. The viral success of ChatGPT has triggered a wave of enthusiasm in AI, prompting companies such as Microsoft and Google-parent Alphabet to pour billions of dollars into the technology. OpenAI said it would expand the rollout on Android to additional countries over the next week.FOLLOW US ON SOCIAL MEDIA Visual Stories Previous10 Things Warren Buffett Learned From His Early Failures as an InvestorbusinessKaran Johar Net Worth: Know How Rich is the FilmmakerbusinessTop 10 Blue Chip Stocks to Invest in for High ReturnsbusinessIndia’s Paneer Is Making Big Inroads in the USbusinessHow to Choose the Right Blue Chip Stock to Invest Inbusiness10 Online Jobs for Stay-At-Home Moms to Earn MoneybusinessHow a Solar Powered ATM Looks LikebusinessTop 10 Pieces of Advice From Warren Buffett’s Annual Letters to ShareholdersbusinessKanye West Net Worth: Know How Rich is Magical MusiciansbusinessThe Pros and Cons of Investing in Blue Chip Stocksbusiness Next123ElectionsMadhya Pradesh ElectionsRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSParliament Monsoon SessionManipur ViolenceIND vs WI HighlightsChandrayaan 3Most Centuries in Asia CupHyderabad WeatherTrending StoriesIn BusinessEntire WebsiteIRCTC website down due to technical glitchAdani to sell fin services biz to US investment firm Bain CapitalError free tax return, refund, e-verification: Important to-dos for ITR e-filing for AY 2023-24 - watch videoReliance spin-off Jio Financial's share price set at Rs 261.85 per share, above estimatesHow to check Utkarsh Small Finance Bank IPO allotment status: Here step-by-step guideAdvance your career with IIT Delhi's project management courseSensex, Nifty extend rally to record highs ahead of key earningsSahara India refund portal launched: All you need to know about direct link, claim process, who will benefitHDFC Bank profit grows 30% to ₹12 k crore in June quarterRich-poor split could tighten 'grip of poverty': World Bank chief Ajay BangaEast India Company, Indian Mujahideen, PFI too have ‘India’ in name: PM's attack on oppnParliament logjam on: Oppn’s no-confidence motion in LS todayHow Wayanad became women's cricket capital of KeralaHeavy rain leads to waterlogging in Delhi-NCR; yellow alert issuedManipur govt wants to send back 718 Myanmar refugeesSC to hear pleas on extending RTI to political partiesHow golgappas & mangoes add flavour to India's diplomacyShah writes to Kharge, Adhir for ‘cooperation’ on Manipur debateInternational roaming: How Reliance Jio’s plans compare to Airtel, ViNagaland’s first woman RS member presides over Houseother calculatorsSIP CalculatorA SIP calculator is a simple tool that allows individuals to get an idea of the returns on theirCalculate NowPPF CalculatorThis financial tool allows one to resolve their queries related to Public Provident Fund account.Calculate NowFD CalculatorWhen investing in a fixed deposit, the amount you deposit earns interest as per the prevailing...Calculate NowNPS CalculatorThe National Pension System or NPS is a measure to introduce a degree of financial stability...Calculate NowMutual Fund CalculatorMutual Funds are one of the most incredible investment strategies that offer better returns...Calculate Now12345About usCreate Your Own AdTerms of Use and Grievance Redressal Policy Privacy policyAdvertise with usRSSNewsletterFeedbackePaperSitemapArchivesFOLLOW US ONOther Times Group News SitesThe Economic TimesHindi Economic TimesNavbharat TimesMaharashtra TimesVijaya KarnatakaTelugu SamayamTamil SamayamMalayalam SamayamEi SamayI am GujaratTimes NowTimes Now NavbharatTimesPointsIndiatimesBrand CapitalEducation TimesTimes FoodMiss KyraPopular CategoriesHeadlinesSports NewsBusiness NewsIndia NewsWorld NewsBollywood NewsHealth & Fitness TipsIndian TV ShowsCelebrity PhotosHot on the WebAnant AmbaniTamannaah BhatiaHealthy FoodDetox Your FaceAdnan SamiBaby NamePretty Hill StationsBigg Boss OTT 2Pablo NerudaKriti SanonTop TrendsParliament Monsoon SessionManipur ViolenceIND vs WI HighlightsChandrayaan 3Most Centuries in Asia CupHyderabad WeatherGyanvapi Mosque CaseIRCTC DownRahul GandhiWest Indies ODI Squad vs IndiaYamuna Water LevelParliament Monsoon Session 2023Weather ForecastCyclone in Bay of BengalPM ModiGopal Goyal KandaITR FilingIndia vs West Indies 2023Trending TopicsNitish BhardwajDisha PataniDiabetic FoodSubhashree GangulyHealthy TipsKarisma KpaoorSamanthaOMG 2Kinjal RajpriyaPrerna KambamParenting TipsShilpa ShettyAmeen MadathilHealthy Dinner RecipeArjun RampalSamvritha SunilVivo Y55sLaptops under 30000WiFi RoutersTablets under 15000Living and entertainmentViral NewsViral VideosFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombiaCopyright © 2023 Bennett, Coleman & Co. Ltd. All rights reserved. For reprint rights: Times Syndication Service
|
After iOS, ChatGPT rolls out Android app in India
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After iOS, ChatGPT rolls Android app India Times IndiaEditionININUSTOIBusinessIndia BusinessInternational BusinessCryptocurrencyFinancial CalculatorsBudget 2023MarketsWealthSensexPhotosVideosStartupsFAQsWeb StoriesBudgetIFSCPAN CardAadhaar CardIPOome TaxSavings Growth CalculatorNewsBusiness NewsIndia Business NewsAfter iOS, ChatGPT rolls Android app IndiaTrendingNirmala SitharamanITC DemergerIRCTC DownITR FilingBank Holidays JulyNew ome tax slabs 202324ome tax calculatorNirmala SitharamanITC DemergerIRCTC DownITR FilingBank Holidays JulyNew ome tax slabs 202324ome tax calculatorNirmala SitharamanITC DemergerIRCTC DownITR FilingBank Holidays JulyNew ome tax slabs 202324ome tax calculatorAfter iOS, ChatGPT rolls Android app IndiaAgencies Jul 26, 2023, 07:24 ISTShareAAText SizeSmallMediumLargeFollow Youre readingAfter iOS, ChatGPT rolls Android app IndiaThe Power Mobility: Why prioritize bone joint healthNuclear families, urban rush boost retail salesLT buy Rs 10,000cr shares, biggest yearChatGPT available Android users US, India, Bangladesh Brazil, viral chatbots owner OpenAI said Tuesday, looks advantage popularity artificial intelligence tool. As AI widely tasks content writing coding, San Franciscobased OpenAI announced ChatGPT Android week expand user base.ChatGPT, launched Sam Altmanled company November year, available Apples iOS platform May. The viral success ChatGPT triggered wave enthusiasm AI, prompting companies Microsoft Googleparent Alphabet pour billions dollars technology. OpenAI said expand rollout Android additional countries week.FOLLOW US ON SOCIAL MEDIA Visual Stories Previous10 Things Warren Buffett Learned From His Early Failures InvestorbusinessKaran Johar Net Worth: Know How Rich FilmmakerbusinessTop 10 Blue Chip Stocks Invest High ReturnsbusinessIndias Paneer Is Making Big Inroads USbusinessHow Choose Right Blue Chip Stock Invest Inbusiness10 Online Jobs StayAtHome Moms Earn MoneybusinessHow Solar Powered ATM Looks LikebusinessTop 10 Pieces Advice From Warren Buffetts Annual Letters ShareholdersbusinessKanye West Net Worth: Know How Rich Magical MusiciansbusinessThe Pros Cons Investing Blue Chip Stocksbusiness Next123ElectionsMadhya Pradesh ElectionsRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSParliament Monsoon SessionManipur ViolenceIND vs WI HighlightsChandrayaan 3Most Centuries Asia CupHyderabad WeatherTrending StoriesIn BusinessEntire WebsiteIRCTC website technical glitchAdani sell fin services biz US investment firm Bain CapitalError free tax return, refund, everification: Important todos ITR efiling AY 202324 watch videoReliance spinoff Jio Financials share price set Rs 261.85 share, estimatesHow check Utkarsh Small Finance Bank IPO allotment status: Here stepbystep guideAdvance career IIT Delhis project management courseSensex, Nifty extend rally record highs ahead key earningsSahara India refund portal launched: All need know direct link, claim process, benefitHDFC Bank profit grows 30 12 k crore June quarterRichpoor split tighten grip poverty: World Bank chief Ajay BangaEast India Company, Indian Mujahideen, PFI India name: PMs attack oppnParliament logjam on: Oppns noconfidence motion LS todayHow Wayanad womens cricket capital KeralaHeavy rain leads waterlogging DelhiNCR; yellow alert issuedManipur govt wants send 718 Myanmar refugeesSC hear pleas extending RTI political partiesHow golgappas mangoes add flavour Indias diplomacyShah writes Kharge, Adhir cooperation Manipur debateInternational roaming: How Reliance Jios plans compare Airtel, ViNagalands woman RS member presides Houseother calculatorsSIP CalculatorA SIP calculator simple tool allows individuals idea returns theirCalculate NowPPF CalculatorThis financial tool allows resolve queries related Public Provident Fund account.Calculate NowFD CalculatorWhen investing fixed deposit, deposit earns prevailing...Calculate NowNPS CalculatorThe National Pension System NPS measure introduce degree financial stability...Calculate NowMutual Fund CalculatorMutual Funds incredible investment strategies offer better returns...Calculate Now12345About 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 WebAnant AmbaniTamannaah BhatiaHealthy FoodDetox Your FaceAdnan SamiBaby NamePretty Hill StationsBigg Boss OTT 2Pablo NerudaKriti SanonTop TrendsParliament Monsoon SessionManipur ViolenceIND vs WI HighlightsChandrayaan 3Most Centuries Asia CupHyderabad WeatherGyanvapi Mosque CaseIRCTC DownRahul GandhiWest Indies ODI Squad vs IndiaYamuna Water LevelParliament Monsoon Session 2023Weather ForecastCyclone Bay BengalPM ModiGopal Goyal KandaITR FilingIndia vs West Indies 2023Trending TopicsNitish BhardwajDisha PataniDiabetic FoodSubhashree GangulyHealthy TipsKarisma KpaoorSamanthaOMG 2Kinjal RajpriyaPrerna KambamParenting TipsShilpa ShettyAmeen MadathilHealthy Dinner RecipeArjun RampalSamvritha SunilVivo Y55sLaptops 30000WiFi RoutersTablets 15000Living entertainmentViral NewsViral VideosFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombia 2023 Bennett, Coleman Co. Ltd. . For reprint rights: Times Syndication Service
| 2,023 |
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https://timesofindia.indiatimes.com/business/india-business/on-dec-6-ai-paris-flight-another-drunk-flyer-peed-on-womans-seat/articleshow/96774067.cms
| 2023-01-05T00:00:00 |
en
|
On Dec 6 AI Paris flight, another drunk flyer peed on woman’s seat - Times of India
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On Dec 6 AI Paris flight, another drunk flyer peed on woman’s seat - Times of India Top SearchesStock Market Today LiveTech Layoffs 2023Mukesh AmbaniGreen Hydrogen MissionUnion Budget 23-24Amazon LayoffsEditionININUSSign InTOIBusinessIndia BusinessInternational BusinessCryptocurrencyFinancial CalculatorsMarketsWealthSensexPhotosVideosGSTStartupsBudgetTax CalculatorBankingFAQsBudgetIFSCPAN CardAadhaar CardIPOIncome TaxSavings Growth CalculatorIncome Tax SlabsTax DeductionsNewsBusiness NewsIndia Business NewsOn Dec 6 AI Paris flight, another drunk flyer peed on woman’s seatOn Dec 6 AI Paris flight, another drunk flyer peed on woman’s seatTNN / Jan 6, 2023, 01:36 ISTShareAA+Text SizeSmallMediumLargeARTICLESOn Dec 6 AI Paris flight, another drunk flyer peed on woman’s seatSebi allows govt stake in IDBI Bank to be reclassified as public post saleSebi extends relaxation for companies to send hard copies of annual reports to shareholdersData protection norms key to ensure retail, e-commerce not hit by big tech's data collection practices: CAITMUMBAI: Ten days after the shocking urinating incident on an Air India New York flight, a similar incident took place again on an Air India flight, this time from Paris to New Delhi.On December 6, an inebriated flyer on AI flight 142, which departed Paris around 9pm local time, relieved himself on a seat and blanket of a fellow passenger, said an Air India statement. Luckily, she was in the lavatory at that time.However, unlike the New York flight incident, the crew reported the offence, and the man was detained on arrival. The woman reached an understanding with the accused, and did not want to press charges, so AI did not lodge a police report, the airline added.Disgusting! Man urinates on woman passenger onboard New York-Delhi Air India flight, DGCA seeks reportUnder the 2017 Civil Aviation Requirements (CAR) for handling unruly passenger behaviour, the airline crew are required to inform security agencies and ground staff for appropriate action on landing. According to sources, the pilot-in-command of the Paris flight informed the Delhi air traffic control, who, in turn, briefed the Central Industrial Security Force (CISF), the airport security.“The crew identified and isolated the offender and reported the incident to authorities. The aircraft was met on arrival at Indira Gandhi International Airport and the passenger taken into custody by CISF personnel,” said Air India. “As the victim and the accused reached an understanding, CISF allowed the accused to leave after he tendered a written apology. In deference to the victim’s wishes, Air India did not lodge a police report,” the airline said in its statement.Another shocking incident on Air India flight: 'Drunk' male passenger allegedly 'urinated' on blanket of a female passengerA senior airline commander, requesting anonymity, said the CAR makes no provision for these negotiations between an unruly passenger and an affected flyer. “In fact, the procedure followed by most airlines is to isolate the unruly passenger,” he said. The CAR clearly states: “Upon landing of the aircraft, airline representative shall lodge FIR with the security agency concerned at aerodrome, to whom the unruly passenger shall be handed over.”Air India urination incident: Man who flashed at woman flyer identified as Mumbai businessman Shekhar MishraUnder the Tokyo Convention Act Section 5, a commander has the power to order the restraint (arrest) of a disruptive passenger and hand the person over to the nearest country, said the commander, adding that the crew of many foreign airlines follow the practice of handing over a written warning card to an unruly passenger. “It essentially states that you will be arrested at the destination if you act in a disruptive manner,” he said, emphasising that the question of letting the disruptive passenger negotiate does not arise.Start a ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories 10 web series to watch out for in 2023web-series10 fashionable throwback pics of DeepikaEntertainmentHollywood actor Will Smith's dietFood10 Times Tamannaah looked pretty in a sareeEntertainmentDeepika Padukone @37: Unseen pictures from her modelling daysLifestyleA look at Janani’s fashionable outfitstv20 foods you should be eating everyday for a longer lifeLifestyleKatrina Kaif’s look form these outfitsEntertainmentWarm destinations to visit to escape the biting cold winter!travel123Budget 2022Budget 2023Budget for WomenBudget for Health SectorCommon Man BudgetBudget for Salaried ClassBudget for Auto SectorBudget For IndustriesBudget for FarmersTop TrendingHaldwani Eviction CaseCoronavirus Live UpdatesIND vs SL Live ScoreCovid Cases LiveCoronavirus 4th WaveOdisha Hockey Mens World CupTrending StoriesIn BusinessEntire WebsiteWalmart pays most of tax bill arising from shifting of PhonePe headquarters to IndiaGH2 sops less than West but RK Singh sure of 60 GW capacity by 2030Sebi allows govt stake in IDBI Bank to be reclassified as public post saleGoogle mulls approaching SC after NCLAT refuses to stay CCI's orderAmazon to cut more than 18,000 jobs, CEO saysIndia's tech spend becoming normalised with developed world: NadellaHow to manage money in retirementAmbani driving $75bn green bet as scions helm other Reliance unitsUnion Budget 2022 delivers on tax relief promises for NRIsRussia sends more Arctic oil to China, India after sanctionsChina Covid surge: WHO worried about 'under-reporting' as Beijing hospitals run out of bedsSticking to border pacts essential for bilateral relationship: India to ChinaGet ready for potholes in the sky11 ‘O’ sub-variants found in flyers in 11 daysPak planning to eliminate TTP terrorists with US help?DGCA issues show-cause notice to Air India in urination case'Trump was my president but today was different'Live: US, Germany to send Ukraine armored vehicles2nd T20I: SL beat India to level seriesKraken: What we know about the new Covid variantAbout usCreate Your Own AdTerms of Use and Grievance Redressal Policy Privacy policyAdvertise with usRSSNewsletterFeedbackePaperSitemapArchivesFOLLOW US ONOther Times Group News SitesThe Economic TimesHindi Economic TimesNavbharat TimesMaharashtra TimesVijaya KarnatakaTelugu SamayamTamil SamayamMalayalam SamayamEi SamayI am GujaratTimesPointsIndiatimesBrand CapitalEducation TimesTimes FoodMiss KyraMumbai MirrorBangalore MirrorPopular CategoriesHeadlinesSports NewsBusiness NewsIndia NewsWorld NewsBollywood NewsHealth & Fitness TipsIndian TV ShowsCelebrity PhotosHot on the WebSweet PotatoesShark Tank India 2Relationships TipsHeath TipsDeepika PadukoneMrunal ThakurSouth Indian DishesLionel Messi FamilyRishabh Pant GirlfriendAlia BhattTop TrendsHaldwani Eviction CaseCoronavirus Live UpdatesIND vs SL Live ScoreCovid Cases LiveCoronavirus 4th WaveOdisha Hockey Mens World CupHaldwani Demolition CaseCovid Cases in IndiaRahul GandhiUttarakhand ProtestsBF 7 Cases in IndiaTech LayoffsPope FrancisZircon MissileChina Covid CasesRussia Ukraine War News LiveUnion Budget 2023Cryptocurrency Price in IndiaTrending TopicsRashmika MandannaMalaika AroraIsha Ambani HouseJanhvi KapoorTollywood CelebsParenting TipsBasheer BashiSreemukhi DazzleAryan KhanVedhika KumarDeepika PadukoneNeeru BajwaSnowfall Place In IndiaTunisha SharmaSonu SoodNia SharmaVivo Y55sLaptops under 30000WiFi RoutersTablets under 15000Living and entertainmentiDivaMensXP.comFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareOnline SongsTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombiaCopyright © 2023 Bennett, Coleman & Co. Ltd. All rights reserved. For reprint rights: Times Syndication Service
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On Dec 6 AI Paris flight, another drunk flyer peed on woman’s seat
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On Dec 6 AI Paris flight, drunk flyer peed womans seat Times India Top esStock Market Today LiveTech Layoffs 2023Mukesh AmbaniGreen Hydrogen MissionUnion Budget 2324Amazon LayoffsEditionININUSTOIBusinessIndia BusinessInternational BusinessCryptocurrencyFinancial CalculatorsMarketsWealthSensexPhotosVideosGSTStartupsBudgetTax CalculatorBankingFAQsBudgetIFSCPAN CardAadhaar CardIPOome TaxSavings Growth Calculatorome Tax SlabsTax DeductionsNewsBusiness NewsIndia Business NewsOn Dec 6 AI Paris flight, drunk flyer peed womans seatOn Dec 6 AI Paris flight, drunk flyer peed womans seatTNN Jan 6, 2023, 01:36 ISTShareAAText SizeSmallMediumLargeARTICLESOn Dec 6 AI Paris flight, drunk flyer peed womans seatSebi allows govt stake IDBI Bank reclassified public post saleSebi extends relaxation companies send hard copies annual reports shareholdersData protection norms key ensure retail, ecommerce hit big techs data collection practices: CAITMUMBAI: Ten days shocking urinating incident Air India New York flight, similar incident took place Air India flight, time Paris New Delhi.On December 6, inebriated flyer AI flight 142, departed Paris 9pm local time, relieved seat blanket fellow passenger, said Air India statement. Luckily, lavatory time.However, unlike New York flight incident, crew reported offence, man detained arrival. The woman reached understanding accused, want press charges, AI lodge police report, airline added.Disgusting Man urinates woman passenger onboard New YorkDelhi Air India flight, DGCA seeks reportUnder 2017 Civil Aviation Requirements CAR handling unruly passenger behaviour, airline crew required inform security agencies ground staff appropriate action landing. According sources, pilotincommand Paris flight informed Delhi air traffic control, who, turn, briefed Central Industrial Security Force CISF, airport security.The crew identified isolated offender reported incident authorities. The aircraft met arrival Indira Gandhi International Airport passenger taken custody CISF personnel, said Air India. As victim accused reached understanding, CISF allowed accused leave tendered written apology. In deference victims wishes, Air India lodge police report, airline said statement.Another shocking incident Air India flight: Drunk male passenger allegedly urinated blanket female passengerA senior airline commander, requesting anonymity, said CAR makes provision negotiations unruly passenger affected flyer. In fact, procedure followed airlines isolate unruly passenger, said. The CAR clearly states: Upon landing aircraft, airline representative shall lodge FIR security agency concerned aerodrome, unruly passenger shall handed over.Air India urination incident: Man flashed woman flyer identified Mumbai businessman Shekhar MishraUnder Tokyo Convention Act Section 5, commander power order restraint arrest disruptive passenger hand person nearest country, said commander, adding crew foreign airlines follow practice handing written warning card unruly passenger. It essentially states arrested destination act disruptive manner, said, emphasising question letting disruptive passenger negotiate arise.Start ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories 10 web series watch 2023webseries10 fashionable throwback pics DeepikaEntertainmentHollywood actor Will Smiths dietFood10 Times Tamannaah looked pretty sareeEntertainmentDeepika Padukone Unseen pictures modelling daysLifestyleA look Jananis fashionable outfitstv20 foods eating everyday longer lifeLifestyleKatrina Kaifs look form outfitsEntertainmentWarm destinations visit escape biting cold wintertravel123Budget 2022Budget 2023Budget WomenBudget Health SectorCommon Man BudgetBudget Salaried ClassBudget Auto SectorBudget For IndustriesBudget FarmersTop TrendingHaldwani Eviction CaseCoronavirus Live UpdatesIND vs SL Live ScoreCovid Cases LiveCoronavirus 4th WaveOdisha Hockey Mens World CupTrending StoriesIn BusinessEntire WebsiteWalmart pays tax arising shifting PhonePe headquarters IndiaGH2 sops West RK Singh sure 60 GW capacity 2030Sebi allows govt stake IDBI Bank reclassified public post saleGoogle mulls approaching SC NCLAT refuses stay CCIs orderAmazon cut 18,000 jobs, CEO saysIndias tech spend normalised developed world: NadellaHow manage money retirementAmbani driving 75bn green bet scions helm Reliance unitsUnion Budget 2022 delivers tax relief promises NRIsRussia sends Arctic oil China, India sanctionsChina Covid surge: WHO worried underreporting Beijing hospitals run bedsSticking border pacts essential bilateral relationship: India ChinaGet ready potholes sky11 O subvariants flyers 11 daysPak planning eliminate TTP terrorists US help?DGCA issues showcause notice Air India urination caseTrump president today differentLive: US, Germany send Ukraine armored vehicles2nd T20I: SL beat India level seriesKraken: What know new Covid variantAbout 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 GujaratTimesPointsIndiatimesBrand CapitalEducation TimesTimes FoodMiss KyraMumbai MirrorBangalore MirrorPopular CategoriesHeadlinesSports NewsBusiness NewsIndia NewsWorld NewsBollywood NewsHealth Fitness TipsIndian TV ShowsCelebrity PhotosHot WebSweet PotatoesShark Tank India 2Relationships TipsHeath TipsDeepika PadukoneMrunal ThakurSouth Indian DishesLionel Messi FamilyRishabh Pant GirlfriendAlia BhattTop TrendsHaldwani Eviction CaseCoronavirus Live UpdatesIND vs SL Live ScoreCovid Cases LiveCoronavirus 4th WaveOdisha Hockey Mens World CupHaldwani Demolition CaseCovid Cases IndiaRahul GandhiUttarakhand ProtestsBF 7 Cases IndiaTech LayoffsPope FrancisZircon MissileChina Covid CasesRussia Ukraine War News LiveUnion Budget 2023Cryptocurrency Price IndiaTrending TopicsRashmika MandannaMalaika AroraIsha Ambani HouseJanhvi KapoorTollywood CelebsParenting TipsBasheer BashiSreemukhi DazzleAryan KhanVedhika KumarDeepika PadukoneNeeru BajwaSnowfall Place In IndiaTunisha SharmaSonu SoodNia SharmaVivo Y55sLaptops 30000WiFi RoutersTablets 15000Living entertainmentiDivaMensXP.comFeminaETimesGraziaZoomTravel DestinationsBombay TimesCricbuzz.comFilmfareOnline SongsTVLifestyleLongwalks AppNewspaper SubscriptionFood NewsTimes PrimeWhats HotServicesCouponDuniaMagicbricksTechGigTimesJobsBollywood NewsTimes MobileGadgets NowCareersColombia 2023 Bennett, Coleman Co. Ltd. . For reprint rights: Times Syndication Service
| 2,023 |
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https://todayheadline.co/how-california-firefighters-are-using-ai-to-look-for-wildfires/
| 2023-08-24T00:00:00 |
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How California firefighters are using AI to look for wildfires | TodayHeadline
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How California firefighters are using AI to look for wildfires | TodayHeadline
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How California firefighters are using AI to look for wildfires
5 seconds ago
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Technology News
Reading Time: 6 mins read
Just before 3 a.m. one night this month, Scott Slumpff was awakened by the ding of a text message.
“An ALERTCalifornia anomaly has been confirmed in your area of interest,” the message said.
Slumpff, a battalion chief with the California Department of Forestry and Fire Protection, sprang into action. The message meant the agency’s new artificial intelligence system had identified signs of a wildfire with a remote mountaintop camera in San Diego County.
Within minutes, crews were dispatched to the burgeoning blaze on Mount Laguna — squelching it before it grew any larger than a 10-foot-by-10-foot spot.
Without the alert, “we wouldn’t have even known about the fire until the next morning, when people are out and about seeing smoke,” Slumpff said. “We probably would have been looking at hundreds of acres rather than a small spot.”
The rapid response was part of a new AI pilot project operated by Cal Fire in partnership with UC San Diego’s ALERTCalifornia system, which maintains 1,039 high-definition cameras in strategic locations throughout the state.
Cal Fire Battalion Chief Scott Slumpff keeps an eye on computer screens at a wildfire monitoring center in Moreno Valley.
(Gina Ferazzi/Los Angeles Times)
The AI constantly monitors the camera feeds in search of anomalies such as smoke, and alerts Cal Fire when it detects something. A red box highlights the anomaly on a screen, allowing officials to quickly verify and respond.
The project rolled out just two months ago to six Cal Fire emergency command centers in the state. But the proof of concept has already been so successful — correctly identifying 77 fires before any 911 calls were logged — that it will soon roll out to all 21 centers.
“The success of this project is the fires you never hear about,” said Phillip SeLegue, staff chief of fire intelligence with Cal Fire.
The program makes Cal Fire the first and only firefighting agency in the world to have such a system in place, SeLegue said. Though other agencies are testing similar tools, none feed directly to fire departments for an immediate response.
In that way, the AI can learn from Cal Fire’s immense knowledge of fire activity, said Neal Driscoll, director of ALERTCalifornia. Because the AI’s training is based on a yes-no binary, each time a Cal Fire official confirms that what the system has identified is indeed a fire, it gets that much smarter.
“This opportunity to have them teach the AI — you can’t get better expertise,” said Driscoll, who is also a professor of geology and geophysics at UCSD.
A red box highlights an anomaly detected by artificial intelligence on Mount Laguna in San Diego County.
(ALERTCalifornia)
The AI has already become refined at distinguishing smoke from other anomalies — such as fog and clouds — from miles away, he said. It is particularly useful in remote rural areas where fewer people are around to report smoke or flames.
In the nearly two months since Cal Fire first received access to the AI, the program has alerted the agency to 128 incidents before 911 were calls were logged — sometimes more than 20 minutes before, according to data provided to The Times. Of those, 77 were confirmed to be fires.
The network includes fixed cameras as well as pan-tilt zoom cameras with near-infrared night vision capabilities, which together collect massive petabytes of data. Before the implementation of AI, the footage was monitored manually by people at the command centers, who are naturally vulnerable to fatigue and human error.
“Prior to this, we would be monitoring several areas of heightened fire danger or activity,” SeLegue said amid the soft blue glow of monitor screens in the control room at the Southern Region Interagency Operations Center in Riverside County. “Now, instead of looking at that screen constantly, the only time your eye has to look up there is when [the AI] catches something.”
There are other advancements, too. The UCSD team has worked with the U.S. Geological Survey to map nearly the entire state using Light Detection and Ranging (LIDAR) technology, which provides Cal Fire with information about vegetation and fuel moisture levels, drought, tree mortality and other landscape factors that can affect fire behavior.
“So as the season progresses and those light, flashy fuels change, the system sees their change, and we integrate that into our fire modeling program,” SeLegue said.
The system has also proven helpful for law enforcement, as investigators can use the footage to look back to the first moments of a fire’s ignition while they work to determine its cause.
ALERTCalifornia director Neal Driscoll discusses the system and the impact it has had on fighting wildfires during a videoconference.
(Ashley Mackin-Solomon)
The program receives funding from federal investments, grants and other sponsors including Cal Fire, which has invested about $20 million over the past four years. Cal Fire now sponsors 201 of the more than 1,000 cameras in the state.
Driscoll said he could envision the AI technology being used to monitor for earthquakes, landslides, avalanches and other hazards in California, and eventually expanding to other states and agencies.
“We want to build the best mousetrap,” he said. “It’s extreme climate — we need to work together and leverage funds and assets. This competition will drive us to better technology.”
Such technology is only the beginning.
NASA is also funding research into AI machine learning and other tools for climate and science missions, officials said during a recent news briefing.
The agency’s Surface Water Ocean Topography mission, operated out of the Jet Propulsion Laboratory in La Cañada Flintridge, is measuring nearly all of the planet’s water, while its NISAR satellite is circling the globe to gather advanced radar imaging and other data.
“Within the next two years, between SWOT and NISAR, we will have doubled the entirety of the NASA Earth Science data holdings,” said Karen St. Germain, director of NASA’s Earth Science Division. Artificial intelligence tools “will become increasingly important to help manage and extract meaning from their ever-increasing volumes of data.”
The agency is also researching unmanned aircraft and drones that could help with emergency response during wildfires, said Huy Tran, aeronautics director with NASA’s Ames Research Center in Silicon Valley.
“This would help us with what we call the ‘second shift,’” Tran said, meaning that when crews depart for the evening, “our unmanned and remotely operated aircraft with new air traffic management systems would allow us to suppress the fire at night, which is when the wildfire is relatively calm.”
The innovations are welcome as climate change continues to fuel larger, faster and more frequent blazes in California and other parts of the world. Eighteen of the state’s 20 largest wildfires have burned since 2000, and the state saw its first million-acre fire in 2020.
Last year, wildfires in California killed nine people. The Mill fire in Siskiyou County destroyed the neighborhood of Lincoln Heights in Weed, while the McKinney and Oak fires in Mariposa County each destroyed nearly 200 structures. The Coastal fire in Orange County claimed at least 20 homes.
Nick Schuler, Cal Fire’s deputy director of communications and emergency incident awareness, recalled a recent incident where he used ALERTCalifornia cameras to monitor a fire in Topanga from a command center in San Diego.
Just by looking at the screen, he could make informed decisions about road closures, utility shutoffs and other critical response measures.
“I was able to enhance situational awareness essentially 150 miles from where that happened, and before the first resources got on scene,” he said.
He added that although there are other fire agencies experimenting with AI, “they’re nowhere near the level of having it in a 911 dispatch center — and actually having the ability to make split-second decisions based upon this emerging technology.”
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How California firefighters are using AI to look for wildfires
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How California firefighters AI look wildfires TodayHeadline Today Headline Write Us Today Headline No Result View All Result breaking news today Politics news Sports Science News Society Entertainment News Movie Gaming Technology News Automotive Software IT Health News Lifestyle Insurance Finance News Money Enterprise Us breaking news today Politics news Sports Science News Society Entertainment News Movie Gaming Technology News Automotive Software IT Health News Lifestyle Insurance Finance News Money Enterprise Us No Result View All Result TodayHeadline No Result View All Result How California firefighters AI look wildfires 5 seconds ago Technology News Reading Time: 6 mins read Just 3 a.m. night month, Scott Slumpff awakened ding text message. An ALERTCalifornia anomaly confirmed area interest, message said. Slumpff, battalion chief California Department Forestry Fire Protection, sprang action. The message meant agencys new artificial intelligence identified signs wildfire remote mountaintop camera San Diego County. Within minutes, crews dispatched burgeoning blaze Mount Laguna squelching grew larger 10footby10foot spot. Without alert, wouldnt known morning, people seeing smoke, Slumpff said. We probably looking hundreds acres small spot. The rapid response new AI pilot project operated Cal Fire partnership UC San Diegos ALERTCalifornia system, maintains 1,039 highdefinition cameras strategic locations state. Cal Fire Battalion Chief Scott Slumpff keeps eye screens wildfire monitoring center Moreno Valley. Gina FerazziLos Angeles Times The AI constantly monitors camera feeds search anomalies smoke, alerts Cal Fire detects something. A red box highlights anomaly screen, allowing officials quickly verify respond. The project rolled months ago Cal Fire emergency command centers state. But proof concept successful correctly identifying 77 fires 911 calls logged soon roll 21 centers. The success project fires hear about, said Phillip SeLegue, staff chief intelligence Cal Fire. The program makes Cal Fire firefighting agency world place, SeLegue said. Though agencies testing similar tools, feed directly departments immediate response. In way, AI learn Cal Fires immense knowledge activity, said Neal Driscoll, director ALERTCalifornia. Because AIs training based yesno binary, time Cal Fire official confirms identified fire, gets smarter. This opportunity teach AI better expertise, said Driscoll, professor geology geophysics UCSD. A red box highlights anomaly detected artificial intelligence Mount Laguna San Diego County. ALERTCalifornia The AI refined distinguishing smoke anomalies fog clouds miles away, said. It particularly useful remote rural areas fewer people report smoke flames. In nearly months Cal Fire received access AI, program alerted agency 128 incidents 911 calls logged 20 minutes before, according data provided The Times. Of those, 77 confirmed fires. The network includes fixed cameras pantilt zoom cameras nearinfrared night vision capabilities, collect massive petabytes data. Before implementation AI, footage monitored manually people command centers, naturally vulnerable fatigue human error. Prior this, monitoring areas heightened danger activity, SeLegue said amid soft blue glow monitor screens control room Southern Region Interagency Operations Center Riverside County. Now, instead looking screen constantly, time eye look [the AI] catches something. There advancements, too. The UCSD team worked U.S. Geological Survey map nearly entire state Light Detection Ranging LIDAR technology, provides Cal Fire information vegetation fuel moisture levels, drought, tree mortality landscape factors affect behavior. So season progresses light, flashy fuels change, sees change, integrate modeling program, SeLegue said. The proven helpful law enforcement, investigators use footage look moments fires ignition work determine cause. ALERTCalifornia director Neal Driscoll discusses impact fighting wildfires videoconference. Ashley MackinSolomon The program receives funding federal investments, grants sponsors including Cal Fire, invested 20 million past years. Cal Fire sponsors 201 1,000 cameras state. Driscoll said envision AI technology monitor earthquakes, landslides, avalanches hazards California, eventually expanding states agencies. We want build best mousetrap, said. Its extreme climate need work leverage funds assets. This competition drive better technology. Such technology beginning. NASA funding research AI machine learning tools climate science missions, officials said recent news briefing. The agencys Surface Water Ocean Topography mission, operated Jet Propulsion Laboratory La Caada Flintridge, measuring nearly planets water, NISAR satellite circling globe gather advanced radar imaging data. Within years, SWOT NISAR, doubled entirety NASA Earth Science data holdings, said Karen St. Germain, director NASAs Earth Science Division. Artificial intelligence tools increasingly important help manage extract meaning everincreasing volumes data. The agency researching unmanned aircraft drones help emergency response wildfires, said Huy Tran, aeronautics director NASAs Ames Research Center Silicon Valley. This help second shift, Tran said, meaning crews depart evening, unmanned remotely operated aircraft new air traffic management systems allow suppress night, wildfire relatively calm. The innovations welcome climate change continues fuel larger, faster frequent blazes California parts world. Eighteen states 20 largest wildfires burned 2000, state saw millionacre 2020. Last year, wildfires California killed people. The Mill Siskiyou County destroyed neighborhood Lincoln Heights Weed, McKinney Oak fires Mariposa County destroyed nearly 200 structures. The Coastal Orange County claimed 20 homes. Nick Schuler, Cal Fires deputy director communications emergency incident awareness, recalled recent incident ALERTCalifornia cameras monitor Topanga command center San Diego. Just looking screen, informed decisions road closures, utility shutoffs critical response measures. I able enhance situational awareness essentially 150 miles happened, resources got scene, said. He added agencies experimenting AI, theyre near level 911 dispatch center actually ability splitsecond decisions based emerging technology. Related Posts Technology News New study finds ways suppress lithium plating automotive batteries faster charging electric vehicles The distribution lithium concentration... Read Opinion: Trump GOP debate noshow. But came second? European stocks lifted Nvidias blowout results Bunnings Lugna Range Provides Stylish Home Storage Solutions 3 killed, 6 injured mass shooting Cooks Corner biker bar Orange County Load More Trending Comments Latest DEVELOPING: Hurricane Hilary Downgraded Category 2 Storm Southern California Braces Impact The Gateway Pundit 150 Hotel Names Dogs Your Worldly Pup Appeal Court Pushes Back Decision On Grayscale Spot Bitcoin ETF Israel flux, vibrant youre floating Dead Sea, exploring King Herods city savouring buzz Tel Aviv FEMA Turns Hawaii Tragedy Tropical Retreat, Stays 1,000aNight Luxury Hotels Leaving Taxpayers Footing Bill The Gateway Pundit Im 23 body 8yearold strangers try pick up, Im grown woman King Queens state visit France postponed widespread rioting place September 20, Buckingham Palace announces Singapores Biggest Bank DBS Launches Metaverse BetterWorld Concept Reduce Food Waste 4 BusyMom School Lunch Ideas That Are As Fun As They Are Nutritious Lizzo Plans To Countersue Dancers As New Evidence Comes To Light Todayheadline independent news topics discovery A homegrown independent news topic aggregation . displays breaking news linking news websites world. Latest News Im 23 body 8yearold strangers try pick up, Im grown woman King Queens state visit France postponed widespread rioting place September 20, Buckingham Palace announces Singapores Biggest Bank DBS Launches Metaverse BetterWorld Concept Reduce Food Waste Im 23 body 8yearold strangers try pick up, Im grown woman King Queens state visit France postponed widespread rioting place September 20, Buckingham Palace announces Singapores Biggest Bank DBS Launches Metaverse BetterWorld Concept Reduce Food Waste Real Estate Parenting Cooking NFL Games On TV Today Travel Tourism Home Garden Pets Privacy Policy About 2023 All rights reserved Today headline No Result View All Result Real Estate Parenting Cooking NFL Games On TV Today Travel Tourism Home Garden Pets Privacy Policy About 2023 All rights reserved Today headline
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] | 1 | 5,143 |
https://tribuneonlineng.com/fg-urges-schools-to-embrace-artificial-intelligence-robotics/
| 2021-09-28T00:00:00 |
en
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FG urges schools to embrace artificial intelligence, robotics
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FG urges schools to embrace artificial intelligence, robotics Tuesday, September 28, 2021 Tribune Online - Breaking News in Nigeria Today HomeNewsBusinessColumnsEditorialEntertainmentPoliticsHealthSportsOpinionsWomen HomeLatest NewsFG urges schools to embrace artificial intelligence, robotics FG urges schools to embrace artificial intelligence, roboticsLatest News By Clement Idoko - Abuja On Jun 23, 2021 Minister of State for Education, Mr Chukwuemeka Nwajiuba Share The Federal Government has urged schools in Nigeria to embrace the growth and development of artificial intelligence and robotics as this will strengthen critical and computational thinking among students. Minister of State for Education, Hon Chukwuemeka Nwajiuba, gave the charge in Abuja, during the award ceremony for the winners of the CODERINA National first Lego League 2021 Competition, while also calling for the infusion of coding in the Secondary School Curriculum.He said the Federal Ministry of Education has already taken the lead by partnering with CODERINA Education and Technology Foundation to ensure the growth and development of Artificial Intelligent and Robotics in secondary schools. He stressed that the Federal Unity Colleges successful participation in the Artificial Intelligent and Robotics programme was a great step in ensuring the infusion of coding in School Curricular which is necessary to strengthen critical and computational thinking.He further noted that the impact of Artificial Intelligent and Robotics on the students would aid in the study of Science, Technology, Engineering, Arts and Mathematics (STEAM).Earlier speaking, the Chairman Board of Trustee (BOT) Coderina EdTech Foundation, Femi Niyi, congratulated the students of Queens College Lagos for taking the lead among others as well as the Ministry of Education for the outstanding performance of students from Unity Colleges.YOU SHOULD NOT MISS THESE HEADLINES FROM NIGERIAN TRIBUNE FACT CHECK: Did UNICEF Say Blocking Children’s Access To Pornography Constitutes Human Rights’ Infringement?CLAIM 1: A Twitter user claims UNICEF said any efforts to block children from accessing pornography might infringe their human rights.VERDICT: MISLEADING!CLAIM 2: A website report shared by the Twitter user claims UNICEF said pornography is not always harmful to children.VERDICT: MISLEADING-! UNICEF in its report explained that though there are different kinds of risks and harms that have been linked to children’s exposure to pornography but there is ‘no consensus’ on the ‘degree’ to which pornography is harmful to children.FG urges schools to embrace artificial intelligence, robotics SHOCKING LIFE STORY!!! Abuja Man reveals (FREE) secret Fruits that Increased his Manh0d size and Lasting Power in just 7days...CLICK HERE TO GET IT!!! Share FacebookTwitterGoogle+ReddItWhatsAppPinterestEmail Prev PostAfrica to get $33bn from new IMF drawing rights ― GeorgievaNext Post Digital economy: 5G network crucial to fourth industrial revolution ― NITDA DGYou might also likeLatest News Flood: Red Cross distributes relief materials to 100 households in Anambra Latest News FCT minister tasks stakeholders to overtake Lagos in IGR Latest News FCT minister assures NRC of partnership to actualize railway masterplan Latest News Sen Orji trains over 60 in agriculture, agri-business, cosmetology CommentsPlease enable JavaScript to view the comments powered by Disqus. Our Front Page Today Most Read Kebbi can become cultural hub of Africa if... ― Minister HMPSN bans Nigerian diver over alleged forgery of medical certificates Okowa’s national imperatives include an ideology for Nigeria Police take over Nigerian House in New York as anti-Buhari protesters threaten UN speech: Practise what you preach, Afenifere challenges Buhari Buhari urges MTN for quality service, downward price review in cost of data, other services Baba Ijesha defiled 14-yr-old minor, child forensic interview expert tells court US govt gathers 2,700 electronic files, 6,700-page documentary evidence for Kyari’s case Hoodlums invade APC rally, kill one; attack Soludo’s supporters, kill three Location of Radio Biafra discovered in South-East London EDITORIAL Editorial Opinion Letters BUSINESS Capital Market Money Market Economy ENTERTAINMENT Friday Treat Entertainment RazzmattazREGIONS South West Niger Delta Arewa RELIGION Tribune Church Church News Muslim Sermon Eye of Islam Islamic NewsCOLUMNS Anike's Diary Aplomb Ask The Doctor Autoclinic With The Mechanic Awo's Thought Borderless Crucial Moment Empowered For Life Festus Adebayo's Flickers Financewise Gibbers Intimacy Language & Style Leaders' Forum Leadership & Management Lynx Eye Monday Lines Mum & Child Natural Health Notes from Atlanta with Farooq Kperogi On The Lord's Day PENtagon Political Panorama Veritatem With Obadiah Mailafia Voice of Courage Whatsapp Conversation You and Eye Your Life Counts WOMEN Xquisite Xquisite Food Xquisite Style Wondrous World of WomenMORE Business Coach Education Event Digest Crime & Court Do It Yourself Ecoscope Property & Environment Energy Maritime Aviation Brands & Marketing Agriculture Info Tech Labour Leadership & Management Achievers Arewa Live Arts & Culture Arts & Reviews Campus Beat Politics Health NewsMORE Mum & Child Natural Health Sexuality & Health Special Report Sports Tourism Travelpulse & MICE Tribune Business Weekend Lagos Youth Speak Book Review Thursday TalesAbout UsContact usTribune TVDisclaimerPrivacyTribune Advertisement Rates © 2021 - Tribune Online. All Rights Reserved. This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. AcceptRead More Sign in HomeNewsBusinessColumnsEditorialEntertainmentPoliticsHealthSportsOpinionsWomen Likes Followers Subscribers Followers Welcome, Login to your account. Forget password? Remember me Login form protected by WPS Limit Login Sign in Recover your password.A password will be e-mailed to you.
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FG urges schools to embrace artificial intelligence, robotics
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FG urges schools embrace artificial intelligence, robotics Tuesday, September 28, 2021 Tribune Online Breaking News Nigeria Today HomeNewsBusinessColumnsEditorialEntertainmentPoliticsHealthSportsOpinionsWomen HomeLatest NewsFG urges schools embrace artificial intelligence, robotics FG urges schools embrace artificial intelligence, roboticsLatest News By Clement Idoko Abuja On Jun 23, 2021 Minister State Education, Mr Chukwuemeka Nwajiuba Share The Federal Government urged schools Nigeria embrace growth development artificial intelligence robotics strengthen critical computational thinking students. Minister State Education, Hon Chukwuemeka Nwajiuba, gave charge Abuja, award ceremony winners CODERINA National Lego League 2021 Competition, calling infusion coding Secondary School Curriculum.He said Federal Ministry Education taken lead partnering CODERINA Education Technology Foundation ensure growth development Artificial Intelligent Robotics secondary schools. He stressed Federal Unity Colleges successful participation Artificial Intelligent Robotics programme great step ensuring infusion coding School Curricular necessary strengthen critical computational thinking.He noted impact Artificial Intelligent Robotics students aid study Science, Technology, Engineering, Arts Mathematics STEAM.Earlier speaking, Chairman Board Trustee BOT Coderina EdTech Foundation, Femi Niyi, congratulated students Queens College Lagos taking lead Ministry Education outstanding performance students Unity Colleges.YOU SHOULD NOT MISS THESE HEADLINES FROM NIGERIAN TRIBUNE FACT CHECK: Did UNICEF Say Blocking Childrens Access To Pornography Constitutes Human Rights Infringement?CLAIM 1: A Twitter user claims UNICEF said efforts block children accessing pornography infringe human rights.VERDICT: MISLEADINGCLAIM 2: A website report shared Twitter user claims UNICEF said pornography harmful children.VERDICT: MISLEADING UNICEF report explained different kinds risks harms linked childrens exposure pornography consensus degree pornography harmful children.FG urges schools embrace artificial intelligence, robotics SHOCKING LIFE STORY Abuja Man reveals FREE secret Fruits reased Manh0d size Lasting Power 7days...CLICK HERE TO GET IT Share FacebookTwitterGoogleReddItWhatsAppPinterestEmail Prev PostAfrica 33bn new IMF drawing rights GeorgievaNext Post Digital economy: 5G network crucial fourth industrial revolution NITDA DGYou likeLatest News Flood: Red Cross distributes relief materials 100 households Anambra Latest News FCT minister tasks stakeholders overtake Lagos IGR Latest News FCT minister assures NRC partnership actualize railway masterplan Latest News Sen Orji trains 60 agriculture, agribusiness, cosmetology CommentsPlease enable JavaScript view comments powered Disqus. Our Front Page Today Most Read Kebbi cultural hub Africa if... Minister HMPSN bans Nigerian diver alleged forgery medical certificates Okowas national imperatives include ideology Nigeria Police Nigerian House New York antiBuhari protesters threaten UN speech: Practise preach, Afenifere challenges Buhari Buhari urges MTN quality service, downward price review cost data, services Baba Ijesha defiled 14yrold minor, child forensic interview expert tells court US govt gathers 2,700 electronic files, 6,700 documentary evidence Kyaris case Hoodlums invade APC rally, kill one; attack Soludos supporters, kill Location Radio Biafra discovered SouthEast London EDITORIAL Editorial Opinion Letters BUSINESS Capital Market Money Market Economy ENTERTAINMENT Friday Treat Entertainment RazzmattazREGIONS South West Niger Delta Arewa RELIGION Tribune Church Church News Muslim Sermon Eye Islam Islamic NewsCOLUMNS Anikes Diary Aplomb Ask The Doctor Autoclinic With The Mechanic Awos Thought Borderless Crucial Moment Empowered For Life Festus Adebayos Flickers Financewise Gibbers Intimacy Language Style Leaders Forum Leadership Management Lynx Eye Monday Lines Mum Child Natural Health Notes Atlanta Farooq Kperogi On The Lords Day PENtagon Political Panorama Veritatem With Obadiah Mailafia Voice Courage Whatsapp Conversation You Eye Your Life Counts WOMEN Xquisite Xquisite Food Xquisite Style Wondrous World WomenMORE Business Coach Education Event Digest Crime Court Do It Yourself Ecoscope Property Environment Energy Maritime Aviation Brands Marketing Agriculture Info Tech Labour Leadership Management Achievers Arewa Live Arts Culture Arts Reviews Campus Beat Politics Health NewsMORE Mum Child Natural Health Sexuality Health Special Report Sports Tourism Travelpulse MICE Tribune Business Weekend Lagos Youth Speak Book Review Thursday Tales usTribune TVDisclaimerPrivacyTribune Advertisement Rates 2021 Tribune Online. . 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| 2,021 |
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] | 1 | 5,144 |
https://tynmagazine.com/global-operator-giants-launch-ai-alliance/
| 2023-07-31T00:00:00 |
en
|
Global operator giants launch AI alliance - TyN Magazine
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Global operator giants launch AI alliance - TyN Magazine TICMetaverseDigital EconomyDigital BankInternet of ThingsCryptoeconomyArtificial IntelligenceFintechEnglish ContentAfricaPacific AsiaPortuguese Content Estoy buscando... HomeEnglish Content Global operator giants launch AI allianceEnglish ContentGlobal operator giants launch AI alliancePor staff28/07/2023 Deutsche Telekom, e&, SK Telecom (SKT) and Singtel penned an agreement to form a global telecoms AI alliance designed to use the technology to unlock new business opportunities and accelerate industry growth.The quartet signed a multilateral Memorandum of Understanding (MoU) agreeing to co-develop a platform for new AI tools to improve existing telecoms services and for the deployment of digital assistants.AI technologies will further be used to optimise digital products such as super apps, and the operator groups plan to combine expertise to support each other in deploying AI in their respective markets.Under the partnership, a working group will be tasked with assisting the development of the AI platform, as well as discussing co-investment opportunities.Leadership appointments for the entity are set to be discussed under this working group.Claudia Nemat, board member of Technology and Innovation at Deutsche Telekom expressed a desire to develop industry-specific applications through the AI alliance, noting the partnership “stands for bridging the gap between Europe and Asia”.CEO of SKT Ryu Young-sang added the alliance is meaningful as it “marks the beginning of a new journey to innovate our business models while growing together with our global partners”.The CEO has previously outlined SKT’s goal to become an AI company, having reshuffled its organisation in a bid to achieve this goal.Meanwhile, UAE operator e& was among the pioneers in the telecoms sector when it comes to generative AI deployment.See more: Lucy Guo’s Passes pounces on $9M to further develop paywall platform for creatorsSee more: Crypto needs comprehensive policies to protect economies and investorsSee more: Telefonica uncorks digital for Spain winery Tags:AI allianceartificial intelligenceDeutsche Telekome&Global operatorSingTelSK Telecom Artículo anterior Inflation remains risk confronting financial markets Artículo siguiente Vodafone takes AWS edge play to Spain Notas Relacionadas English ContentBelgium incentivizes video game studios from around the world with tax shelter English ContentThe opportunities of the blue economy will be the focus of Tomorrow.Blue Economy English ContentNew study reveals the cryptocoins that the US wants to sell the mostSuscríbase al Newsletter Síganos TyN MagazineTyN marca tendencia, publicando diariamente lo más importante que nuestros lectores deben conocer para tomar las mejores decisiones. TyN es tu “punto de encuentro” con la información.– Founder and Editor: Gustavo Martínez ([email protected])– Content Marketing: Graciela Salas ([email protected])– Editor: Damián Martinez ([email protected])Categorias más leídasCryptoeconomyMetaverseTICFintechDigital EconomyAIIoTEtiquetasCryptoeconomy5GFintechBitcoin TyN Magazine © .
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Global operator giants launch AI alliance
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Global operator giants launch AI alliance TyN Magazine TICMetaverseDigital EconomyDigital BankInternet ThingsCryptoeconomyArtificial IntelligenceFintechEnglish ContentAfricaPacific AsiaPortuguese Content Estoy buscando... HomeEnglish Content Global operator giants launch AI allianceEnglish ContentGlobal operator giants launch AI alliancePor staff28072023 Deutsche Telekom, e, SK Telecom SKT Singtel penned agreement form global telecoms AI alliance designed use technology unlock new business opportunities accelerate industry growth.The quartet signed multilateral Memorandum Understanding MoU agreeing codevelop platform new AI tools improve existing telecoms services deployment digital assistants.AI technologies optimise digital products super apps, operator groups plan combine expertise support deploying AI respective markets.Under partnership, working group tasked assisting development AI platform, discussing coinvestment opportunities.Leadership appointments entity set discussed working group.Claudia Nemat, board member Technology Innovation Deutsche Telekom expressed desire develop industryspecific applications AI alliance, noting partnership stands bridging gap Europe Asia.CEO SKT Ryu Youngsang added alliance meaningful marks beginning new journey innovate business models growing global partners.The CEO previously outlined SKTs goal AI company, havingreshuffledits organisation bid achieve goal.Meanwhile, UAE operator e thepioneersin telecoms sector comes generative AI deployment.See more: Lucy Guos Passes pounces 9M develop paywall platform creatorsSee more: Crypto needs comprehensive policies protect economies investorsSee more: Telefonica uncorks digital Spain winery Tags:AI allianceartificial intelligenceDeutsche TelekomeGlobal operatorSingTelSK Telecom Artculo anterior Inflation remains risk confronting financial markets Artculo siguiente Vodafone takes AWS edge play Spain Notas Relacionadas English ContentBelgium incentivizes video game studios world tax shelter English ContentThe opportunities blue economy focus Tomorrow.Blue Economy English ContentNew study reveals cryptocoins US wants sell mostSuscrbase al Newsletter Sganos TyN MagazineTyN marca tendencia, publicando diariamente lo ms importante que nuestros lectores deben conocer para tomar las mejores decisiones. TyN es tu punto encuentro la informacin. Founder Editor: Gustavo Martnez gustavom Content Marketing: Graciela Salas gracielas Editor: Damin Martinez damianm ms ledasCryptoeconomyMetaverseTICFintechDigital EconomyAIIoTEtiquetasCryptoeconomy5GFintechBitcoin TyN Magazine .
| 2,023 |
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https://upnewsinfo.com/2021/01/05/using-artificial-intelligence-to-find-new-uses-for-existing-medications-sciencedaily/
| 2021-01-05T00:00:00 |
en
|
Using artificial intelligence to find new uses for existing medications - ScienceDaily - Up News Info
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Using artificial intelligence to find new uses for existing medications - ScienceDaily - 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 Technology Using artificial intelligence to find new uses for existing medications — ScienceDailyTechnologyUsing artificial intelligence to find new uses for existing medications — ScienceDailyBy Isaac Novak - January 5, 202109ShareFacebook Twitter Pinterest WhatsApp Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed. The intent of this work is to speed up drug repurposing, which is not a new concept — think Botox injections, first approved to treat crossed eyes and now a migraine treatment and top cosmetic strategy to reduce the appearance of wrinkles.But getting to those new uses typically involves a mix of serendipity and time-consuming and expensive randomized clinical trials to ensure that a drug deemed effective for one disorder will be useful as a treatment for something else.The Ohio State University researchers created a framework that combines enormous patient care-related datasets with high-powered computation to arrive at repurposed drug candidates and the estimated effects of those existing medications on a defined set of outcomes.Though this study focused on proposed repurposing of drugs to prevent heart failure and stroke in patients with coronary artery disease, the framework is flexible — and could be applied to most diseases.“This work shows how artificial intelligence can be used to ‘test’ a drug on a patient, and speed up hypothesis generation and potentially speed up a clinical trial,” said senior author Ping Zhang, assistant professor of computer science and engineering and biomedical informatics at Ohio State. “But we will never replace the physician — drug decisions will always be made by clinicians.”The research is published today (Jan. 4, 2021) in Nature Machine Intelligence.Drug repurposing is an attractive pursuit because it could lower the risk associated with safety testing of new medications and dramatically reduce the time it takes to get a drug into the marketplace for clinical use.Randomized clinical trials are the gold standard for determining a drug’s effectiveness against a disease, but Zhang noted that machine learning can account for hundreds — or thousands — of human differences within a large population that could influence how medicine works in the body. These factors, or confounders, ranging from age, sex and race to disease severity and the presence of other illnesses, function as parameters in the deep learning computer algorithm on which the framework is based.That information comes from “real-world evidence,” which is longitudinal observational data about millions of patients captured by electronic medical records or insurance claims and prescription data. “Real-world data has so many confounders. This is the reason we have to introduce the deep learning algorithm, which can handle multiple parameters,” said Zhang, who leads the Artificial Intelligence in Medicine Lab and is a core faculty member in the Translational Data Analytics Institute at Ohio State. “If we have hundreds or thousands of confounders, no human being can work with that. So we have to use artificial intelligence to solve the problem.“We are the first team to introduce use of the deep learning algorithm to handle the real-world data, control for multiple confounders, and emulate clinical trials,” Zhang said.The research team used insurance claims data on nearly 1.2 million heart-disease patients, which provided information on their assigned treatment, disease outcomes and various values for potential confounders. The deep learning algorithm also has the power to take into account the passage of time in each patient’s experience — for every visit, prescription and diagnostic test. The model input for drugs is based on their active ingredients.Applying what is called causal inference theory, the researchers categorized, for the purposes of this analysis, the active drug and placebo patient groups that would be found in a clinical trial. The model tracked patients for two years — and compared their disease status at that end point to whether or not they took medications, which drugs they took and when they started the regimen.“With causal inference, we can address the problem of having multiple treatments. We don’t answer whether drug A or drug B works for this disease or not, but figure out which treatment will have the better performance,” Zhang said.Their hypothesis: that the model would identify drugs that could lower the risk for heart failure and stroke in coronary artery disease patients.The model yielded nine drugs considered likely to provide those therapeutic benefits, three of which are currently in use — meaning the analysis identified six candidates for drug repurposing. Among other findings, the analysis suggested that a diabetes medication, metformin, and escitalopram, used to treat depression and anxiety, could lower risk for heart failure and stroke in the model patient population. As it turns out, both of those drugs are currently being tested for their effectiveness against heart disease.Zhang stressed that what the team found in this case study is less important than how they got there.“My motivation is applying this, along with other experts, to find drugs for diseases without any current treatment. This is very flexible, and we can adjust case-by-case,” he said. “The general model could be applied to any disease if you can define the disease outcome.”The research was supported by the National Center for Advancing Translational Sciences, which funds the Center for Clinical and Translational Science at Ohio State. ShareFacebook Twitter Pinterest WhatsApp Isaac Novak RELATED ARTICLESMORE FROM AUTHOR TechnologyDeals: Save Up to $120 on Apple’s 2020 iMac Lineup With Amazon’s Latest Sales TechnologyTwitter has acquired social podcasting app Breaker, whose team will join Twitter to help build Twitter Spaces; Breaker app will shut down on January... TechnologyWhere is Jack Ma, China’s e-commerce pioneer?HomeAbout UsContact usDisclaimerPrivacy Policy ©
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Using artificial intelligence to find new uses for existing medications
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Using artificial intelligence new uses existing medications ScienceDaily 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 Technology Using artificial intelligence new uses existing medications ScienceDailyTechnologyUsing artificial intelligence new uses existing medications ScienceDailyBy Isaac Novak January 5, 202109ShareFacebook Twitter Pinterest WhatsApp Scientists developed machinelearning method crunches massive amounts data help determine existing medications improve outcomes diseases prescribed. The intent work speed drug repurposing, new concept think Botox injections, approved treat crossed eyes migraine treatment cosmetic strategy reduce appearance wrinkles.But getting new uses typically involves mix serendipity timeconsuming expensive randomized clinical trials ensure drug deemed effective disorder useful treatment else.The Ohio State University researchers created framework combines enormous patient carerelated datasets highpowered computation arrive repurposed drug candidates estimated effects existing medications defined set outcomes.Though study focused proposed repurposing drugs prevent heart failure stroke patients coronary artery disease, framework flexible applied diseases.This work shows artificial intelligence test drug patient, speed hypothesis generation potentially speed clinical trial, said senior author Ping Zhang, assistant professor science engineering biomedical informatics Ohio State. But replace physician drug decisions clinicians.The research published today Jan. 4, 2021 Nature Machine Intelligence.Drug repurposing attractive pursuit lower risk associated safety testing new medications dramatically reduce time takes drug marketplace clinical use.Randomized clinical trials gold standard determining drugs effectiveness disease, Zhang noted machine learning account hundreds thousands human differences large population influence medicine works body. These factors, confounders, ranging age, sex race disease severity presence illnesses, function parameters deep learning algorithm framework based.That information comes realworld evidence, longitudinal observational data millions patients captured electronic medical records insurance claims prescription data. Realworld data confounders. This reason introduce deep learning algorithm, handle multiple parameters, said Zhang, leads Artificial Intelligence Medicine Lab core faculty member Translational Data Analytics Institute Ohio State. If hundreds thousands confounders, human work that. So use artificial intelligence solve problem.We team introduce use deep learning algorithm handle realworld data, control multiple confounders, emulate clinical trials, Zhang said.The research team insurance claims data nearly 1.2 million heartdisease patients, provided information assigned treatment, disease outcomes values potential confounders. The deep learning algorithm power account passage time patients experience visit, prescription diagnostic test. The model input drugs based active ingredients.Applying called causal inference theory, researchers categorized, purposes analysis, active drug placebo patient groups clinical trial. The model tracked patients years compared disease status end point took medications, drugs took started regimen.With causal inference, address problem multiple treatments. We dont answer drug A drug B works disease not, figure treatment better performance, Zhang said.Their hypothesis: model identify drugs lower risk heart failure stroke coronary artery disease patients.The model yielded drugs considered likely provide therapeutic benefits, currently use meaning analysis identified candidates drug repurposing. Among findings, analysis suggested diabetes medication, metformin, escitalopram, treat depression anxiety, lower risk heart failure stroke model patient population. As turns out, drugs currently tested effectiveness heart disease.Zhang stressed team case study important got there.My motivation applying this, experts, drugs diseases current treatment. This flexible, adjust casebycase, said. The general model applied disease define disease outcome.The research supported National Center Advancing Translational Sciences, funds Center Clinical Translational Science Ohio State. ShareFacebook Twitter Pinterest WhatsApp Isaac Novak RELATED ARTICLESMORE FROM AUTHOR TechnologyDeals: Save Up 120 Apples 2020 iMac Lineup With Amazons Latest Sales TechnologyTwitter acquired social podcasting app Breaker, team join Twitter help build Twitter Spaces; Breaker app shut January... TechnologyWhere Jack Ma, Chinas ecommerce pioneer?Home usDisclaimer
| 2,021 |
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https://uproxx.com/indie/nick-cave-hates-chatgpt-lyrics-ai/
| 2023-01-16T00:00:00 |
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Nick Cave Hates ChatGPT Lyrics Modeled After His
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Nick Cave Hates ChatGPT Lyrics Modeled After His
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Everybody Loves ChatGPT Except For Nick Cave, Who Is Unimpressed With AI-Generated Lyrics Meant To Be Like His
Megan ArmstrongContributing WriterTwitterJanuary 16, 2023
In November, OpenAI introduced ChatGPT, a free language processor “capable of generating human-like text and has a wide range of applications, including language translation, language modeling, and generating text for applications such as chatbots,” as relayed by Science Focus. People have played around with the new AI tool, leading to an explanation of quantum theory in the style of Snoop Dogg and other hilarious responses. Think AOL Instant Messenger’s SmarterChild, but better.
Well, Nick Cave is not impressed.
A fan named Mark asked ChatGPT “to write a song in the style of Nick Cave,” which Cave posted on his The Red Hand Files website. The AI-generated chorus goes, “I am the sinner, I am the saint / I am the darkness, I am the light / I am the hunter, I am the prey / I am the devil, I am the savior.” Cave’s response is much less succinct. Although, at one point, Cave simply surmised, “This song sucks.”
Read his full entry below.
“Dear Mark,
Since its launch in November last year many people, most buzzing with a kind of algorithmic awe, have sent me songs ‘in the style of Nick Cave’ created by ChatGPT. There have been dozens of them. Suffice to say, I do not feel the same enthusiasm around this technology. I understand that ChatGPT is in its infancy but perhaps that is the emerging horror of AI – that it will forever be in its infancy, as it will always have further to go, and the direction is always forward, always faster. It can never be rolled back, or slowed down, as it moves us toward a utopian future, maybe, or our total destruction. Who can possibly say which? Judging by this song ‘in the style of Nick Cave’ though, it doesn’t look good, Mark. The apocalypse is well on its way. This song sucks.
What ChatGPT is, in this instance, is replication as travesty. ChatGPT may be able to write a speech or an essay or a sermon or an obituary but it cannot create a genuine song. It could perhaps in time create a song that is, on the surface, indistinguishable from an original, but it will always be a replication, a kind of burlesque.
Songs arise out of suffering, by which I mean they are predicated upon the complex, internal human struggle of creation and, well, as far as I know, algorithms don’t feel. Data doesn’t suffer. ChatGPT has no inner being, it has been nowhere, it has endured nothing, it has not had the audacity to reach beyond its limitations, and hence it doesn’t have the capacity for a shared transcendent experience, as it has no limitations from which to transcend. ChatGPT’s melancholy role is that it is destined to imitate and can never have an authentic human experience, no matter how devalued and inconsequential the human experience may in time become.
What makes a great song great is not its close resemblance to a recognizable work. Writing a good song is not mimicry, or replication, or pastiche, it is the opposite. It is an act of self-murder that destroys all one has strived to produce in the past. It is those dangerous, heart-stopping departures that catapult the artist beyond the limits of what he or she recognises as their known self. This is part of the authentic creative struggle that precedes the invention of a unique lyric of actual value; it is the breathless confrontation with one’s vulnerability, one’s perilousness, one’s smallness, pitted against a sense of sudden shocking discovery; it is the redemptive artistic act that stirs the heart of the listener, where the listener recognizes in the inner workings of the song their own blood, their own struggle, their own suffering. This is what we humble humans can offer, that AI can only mimic, the transcendent journey of the artist that forever grapples with his or her own shortcomings. This is where human genius resides, deeply embedded within, yet reaching beyond, those limitations.
It may sound like I’m taking all this a little too personally, but I’m a songwriter who is engaged, at this very moment, in the process of songwriting. It’s a blood and guts business, here at my desk, that requires something of me to initiate the new and fresh idea. It requires my humanness. What that new idea is, I don’t know, but it is out there somewhere, searching for me. In time, we will find each other.
Mark, thanks for the song, but with all the love and respect in the world, this song is bullsh*t, a grotesque mockery of what it is to be human, and, well, I don’t much like it — although, hang on!, rereading it, there is a line in there that speaks to me —
‘I’ve got the fire of hell in my eyes’
— says the song ‘in the style of Nick Cave’, and that’s kind of true. I have got the fire of hell in my eyes – and it’s ChatGPT.
Love, Nick”
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People played new AI tool, leading explanation quantum theory style Snoop Dogg hilarious responses. Think AOL Instant Messengers SmarterChild, better. Well, Nick Cave impressed. A fan named Mark asked ChatGPT write song style Nick Cave, Cave posted The Red Hand Files website. The AIgenerated chorus goes, I sinner, I saint I darkness, I light I hunter, I prey I devil, I savior. Caves response succinct. Although, point, Cave simply surmised, This song sucks. Read entry below. Dear Mark, Since launch November year people, buzzing kind algorithmic awe, sent songs style Nick Cave created ChatGPT. There dozens them. Suffice say, I feel enthusiasm technology. I understand ChatGPT infancy emerging horror AI forever infancy, go, direction forward, faster. It rolled back, slowed down, moves utopian future, maybe, total destruction. Who possibly which? Judging song style Nick Cave though, doesnt look good, Mark. The apocalypse way. This song sucks. What ChatGPT is, instance, replication travesty. ChatGPT able write speech essay sermon obituary create genuine song. It time create song is, surface, indistinguishable original, replication, kind burlesque. Songs arise suffering, I mean predicated complex, internal human struggle creation and, well, far I know, algorithms dont feel. Data doesnt suffer. ChatGPT inner being, nowhere, endured nothing, audacity reach limitations, doesnt capacity shared transcendent experience, limitations transcend. ChatGPTs melancholy role destined imitate authentic human experience, matter devalued inconsequential human experience time become. What makes great song great close resemblance recognizable work. Writing good song mimicry, replication, pastiche, opposite. It act selfmurder destroys strived produce past. It dangerous, heartstopping departures catapult artist limits recognises known self. This authentic creative struggle precedes invention unique lyric actual value; breathless confrontation ones vulnerability, ones perilousness, ones smallness, pitted sense sudden shocking discovery; redemptive artistic act stirs heart listener, listener recognizes inner workings song blood, struggle, suffering. This humble humans offer, AI mimic, transcendent journey artist forever grapples shortcomings. This human genius resides, deeply embedded within, reaching beyond, limitations. It sound like Im taking little personally, Im songwriter engaged, moment, process songwriting. Its blood guts business, desk, requires initiate new fresh idea. It requires humanness. What new idea is, I dont know, somewhere, searching me. In time, other. Mark, thanks song, love respect world, song bullsht, grotesque mockery human, and, well, I dont like although, hang on, rereading it, line speaks Ive got hell eyes says song style Nick Cave, thats kind true. I got hell eyes ChatGPT. Love, Nick Facebook Twitter Flipboard Email uproxx.it Tags: Artificial Intelligence, ChatGPT, NICK CAVE Join Discussion larrb; Back Listen To This All The Best New Music From This Week That You Need To Hear January 16, 2023by: Derrick Rossignol The Best New HipHop This Week January 13, 2023by: Aaron Williams The Most Anticipated Albums Of 2023 January 4, 2023by: Adrian Spinelli The Best Vinyl Releases Of December 2022 December 30, 2022by: Derrick Rossignol The Most Anticipated Pop Albums Of 2023 December 28, 2022by: Lexi Lane The Best HipHop Songs Of 2022 December 20, 2022by: Aaron Williams Travis Yoh Phillips
| 2,023 |
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https://urbanmilwaukee.com/2022/03/04/greater-milwaukee-foundation-unveils-700-million-philanthropic-campaign/
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Greater Milwaukee Foundation Unveils $700 Million Philanthropic Campaign » Urban Milwaukee
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Greater Milwaukee Foundation Unveils $700 Million Philanthropic Campaign » Urban Milwaukee
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Greater Milwaukee Foundation Unveils $700 Million Philanthropic Campaign
Part of "a Milwaukee for all" vision with an emphasis on racial equity and inclusion.
By
Jeramey Jannene - Mar 4th, 2022 04:41 pm
//end headline wrapper ?>
Get a daily rundown of the top stories on Urban Milwaukee
ThriveOn King development. Conceptual rendering by Engberg Anderson Architects.
The Greater Milwaukee Foundation revealed Friday it is working on a $700 million Greater Together campaign and has already raised approximately $500 million towards its goal.
It’s part of the foundation’s vision of building “a Milwaukee for all” with an emphasis on racial equity and inclusion. The effort is focused on what the foundation describes as building blocks for a better life: education opportunity, health equity, economic opportunity and housing security.
The public phase of the campaign, announced Friday, includes five priority efforts intended. They include $11 million for the placed-based investment in the ThriveOn Collaboration focused on supporting Halyard Park, Harambee and Brewers Hill and developing the ThriveOn King facility, $6 million for making a generational investment in early childhood care and education, $2 million to expand access to affordable housing offerings through the Community Development Alliance vision, $10 million towards making impact investments for social and economic returns and $21 million flexible funding to address pressing needs and emerging issues as they arise.
The organization made a number of flexible funding commitments once the COVID-19 pandemic took hold in 2020.
“There is no better organization than the Greater Milwaukee Foundation to lead this charge: its resources, skill sets, knowledge and partnership are essential tools,” said foundation board chair Jackie Herd-Barber in a statement. “The foundation has done research, we have partnered across the community and, most importantly, we have listened. Now, it’s time to do this important and necessary work, and we need everyone to act together and join us in this journey.”
“For too long, our region’s great potential has been overshadowed by disparities that divide people from opportunity and whole communities from well-being. To transform the Milwaukee we know into a Milwaukee for all, we need to invest in smart solutions that bring people together, center community voice and advance racial equity so that everyone can thrive,” said Ellen Gilligan, GMF President and CEO. “Now is our moment to build on generations of past generosity to realize the vibrant, inclusive region that is within our reach.”
Get a daily rundown of the top stories on Urban Milwaukee The private phase of the campaign began in 2017 and the full effort is expected to last through 2023.
The campaign is being led by four co-chairs: Peter Bruce, Cecelia Gore, David Kundert and Linda Mellowes.
“In the wake of recent events, we know we are not where we need to be on racial equity and inclusion and that this issue holds our entire region back — whether you live in downtown Milwaukee or the farthest corners of our outerlying region,” said Kundert in a statement. “Now is a great time for all of us to consider how we support our passions and interests through philanthropy and help us solve critical issues facing our community.”
A campaign website further explains the vision and how individuals can contribute.
If you think stories like this are important, become a member of Urban Milwaukee and help support real, independent journalism. Plus you get some cool added benefits, all detailed here.
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Greater Milwaukee Foundation Unveils $700 Million Philanthropic Campaign » Urban Milwaukee
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Greater Milwaukee Foundation Unveils 700 Million Philanthropic Campaign Urban Milwaukee Become Member Member Show Menu Topics Chaos Capitol Coronavirus Foxconn FPCs Troubles I94 Expansion Opioid Crisis Racial Justice Protests Real Estate Listings Add Listing Press Releases Politics Political Contributions Tracker Bruce Murphy Data Wonk State Politics Press Releases Food Drink Press Releases AE Visual Art Theater Events Press Releases AE Visual Art Theater Eventsli> Press Releases Food Drink Membership Become Member Buy Gift Membership Giveaways Events Greater Milwaukee Foundation Unveils 700 Million Philanthropic Campaign Part Milwaukee vision emphasis racial equity inclusion. By Jeramey Jannene Mar 4th, 2022 04:41 pm end headline wrapper ?> Get daily rundown stories Urban Milwaukee ThriveOn King development. Conceptual rendering Engberg Anderson Architects. The Greater Milwaukee Foundation revealed Friday working 700 million Greater Together campaign raised approximately 500 million goal. Its foundations vision building Milwaukee emphasis racial equity inclusion. The effort focused foundation describes building blocks better life: education opportunity, health equity, economic opportunity housing security. The public phase campaign, announced Friday, includes priority efforts intended. They include 11 million placedbased investment ThriveOn Collaboration focused supporting Halyard Park, Harambee Brewers Hill developing ThriveOn King facility, 6 million making generational investment early childhood care education, 2 million expand access affordable housing offerings Community Development Alliance vision, 10 million making impact investments social economic returns 21 million flexible funding address pressing needs emerging issues arise. The organization number flexible funding commitments COVID19 pandemic took hold 2020. There better organization Greater Milwaukee Foundation lead charge: resources, skill sets, knowledge partnership essential tools, said foundation board chair Jackie HerdBarber statement.The foundation research, partnered community and, importantly, listened. Now, time important necessary work, need act join journey. For long, regions great potential overshadowed disparities divide people opportunity communities wellbeing. To transform Milwaukee know Milwaukee all, need invest smart solutions bring people together, center community voice advance racial equity thrive, said Ellen Gilligan, GMF President CEO. Now moment build generations past generosity realize vibrant, inclusive region reach. Get daily rundown stories Urban Milwaukee The private phase campaign began 2017 effort expected 2023. The campaign led cochairs: Peter Bruce, Cecelia Gore, David Kundert Linda Mellowes. In wake recent events, know need racial equity inclusion issue holds entire region live downtown Milwaukee farthest corners outerlying region, said Kundert statement. Now great time consider support passions interests philanthropy help solve critical issues facing community. A campaign website explains vision individuals contribute. If think stories like important, member Urban Milwaukee help support real, independent journalism. Plus cool added benefits, detailed here. Categories: Leave ReplyYou Urban Milwaukee member leave comment. Membership, includes host perks, including adfree website, tickets marquee events like Summerfest, Wisconsin State Fair Florentine Opera, better photo browser access membersonly, behindthescenes tours, starts 9month. Learn more.Join cancel anytime.If existing member, signin leave comment. Have questions? Need report error? Us Latest Articles Columns MKE County: County Experiencing Low Level Of COVID19 Graham Kilmer Friday Photos: Milwaukee Tool Begins Employee MoveIn Jeramey Jannene Greater Milwaukee Foundation Unveils 700 Million Philanthropic Campaign Jeramey Jannene Eyes Milwaukee: Marquette Announces Next Building Project Jeramey Jannene Habitat Humanity Program Nurtures Homeownership PrincessSafiya Byers Become Member Help assure future citys fastest growing publication.Join TodayBuy Gift Membership Press Releases City Milwaukee Weekly COVID19 Update City Milwaukee Health Department GOP plan dismantle public education raise taxes 577 million State Sen. Chris Larson Inaccuracies Special Counsel Gablemans Second Interim Report Wisconsin Elections Commission Read Press Releases 3 Most Popular City Hall: PutinBacking Assistant City Attorney Fired Jeramey Jannene Transportation: Freeway Flyer Buses Suspended Indefinitely Graham Kilmer City Hall: Council Closes Mr. Js Lounge Jeramey Jannene Recent Comments Joy Adams Op Ed: How Improve States K12 Schools NieWiederKrieg Bill Gives Every Child Savings Account Thomas Sepllman Op Ed: How Improve States K12 Schools Mingus Op Ed: How Improve States K12 Schools Mingus State Supreme Court Picks Evers Legislative Maps New Faces Gov. Evers Appoints Michael Kenitz Washington County Circuit Court VISIT Milwaukee Welcomes New Digital Marketing Manager Marquette School Dentistry professor partners multimilliondollar NIH grant noshow prevention underserved populations More New Faces Information Become Member About Advertise Jobs Calendar The Store Submit Press Release Facebook Twitter LinkedIn The Store 755 N. Milwaukee St. Milwaukee, WI 53202 4143950632 Website Hours, Directions, Products Daily Email Update Take step, member. Ditch ads, free stuff Learn 2022, Urban Milwaukee, . . Were pretty sure youre member youre definitely signed in. Signin advantage membership, including adfree website improved browsing experience. Sign This ad close automatically 15 seconds. Tired seeing banner ads Urban Milwaukee? Become member 9month.
| 2,022 |
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https://variety.com/2023/digital/global/italy-ban-chatgpt-controversy-silicon-valley-1235571506/
| 2023-04-03T00:00:00 |
en
|
Italy Bans ChatGPT Causing Debate as Country Spars With Silicon Valley - Variety
|
Italy Bans ChatGPT Causing Debate as Country Spars With Silicon Valley - Variety
Italy Bans ChatGPT Causing Debate as Country Spars With Silicon Valley – Variety
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Apr 3, 2023 4:14am PT
Italy’s Ban on ChatGPT Sparks Controversy as Local Industry Spars With Silicon Valley on Other Matters
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The Italian government’s decision on Friday to ban artificial intelligence tool ChatGPT – becoming the world’s first country to block the chatbot – is sparking local controversy.
The move is being criticized within the government itself just as Italy’s entertainment industry is up in arms against Silicon Valley on several other fronts.
Italy’s Data Protection Authority on Friday said it had ordered California-based OpenAI to temporarily block the country’s internet users from gaining access to ChatGPT following a verified data breach that it claims represents a possible violation of European Union data protection rules.
According to the Italian government watchdog, OpenAI has been illegally gathering personal data from Italian customers involving ChatGPT “users’ conversations” and information about subscriber payments and did not have an age-verification system in place, exposing children to responses from the chatbot that are “absolutely inappropriate to their age and awareness,” it said in a statement.
OpenAI said late Friday night in a statement that it has disabled ChatGPT for Italian users at the government’s request. The company also stated that it is working “to reduce personal data in training our AI systems like ChatGPT because we want our AI to learn about the world, not about private individuals.” The company added that it hopes to make ChatGPT available again in Italy soon.
The Italian watchdog says OpenAI must report within 20 days what measures it has taken to ensure the privacy of users’ data or face a fine of up to €20 million euros (nearly $22 million) or 4% of annual global revenue.
Italy’s decision to ban ChatGPT comes amid a growing chorus of concerns about the artificial intelligence boom across many industry sectors around the world. Last week a group of more than 1,000 U.S. scientists and tech leaders including Elon Musk, who is an OpenAI co-founder, signed an open letter urging a moratorium on the development of the most powerful artificial intelligence systems saying that they pose “profound risks to society and humanity” unless safety policies are implemented.
Italy is the first government to ban ChatGPT due to privacy concerns, though the chatbot that draws on a massive database of digital books and other online material to mimic human writing styles and also engage in humanlike conversations, is currently unavailable in China, North Korea, Russia and Iran, because OpenAI decided not to make it accessible in these undemocratic countries.
But even within the Italian government the ChatGPT ban has sparked complaints. “We should not be hypocritical,” tweeted over the weekend Italy’s Deputy Prime Minister Matteo Salvini who claims he opposes all forms of censorship. The prominent right wing politician pointed out that “problems related to privacy pertain to practically all online services.” Salvini went on to add that “Common sense is required” and expressed his hope “for a rapid clarification and resumption of the service.”
Meanwhile use of artificial intelligence in the entertainment industry has been at the center of a labor dispute between Italian dubbers who recently went on strike partly in an effort to obtain a contractual safeguard against dubbing devices using cutting-edge AI technology that are starting to change how Hollywood localizes its movies and TV shows.
In another dispute involving Italy and Silicon Valley, Italian song rights collecting society Siae, which is government run, is engaged in battle with Meta after the social media giant last month started excluding its repertoire from its Facebook and Instagram platforms amid deadlocked licensing negotiations. According to SIAE one bone of contention is Meta’s alleged refusal to share consumption data. A refusal which it claims is against EU copyright law principles. Italian Deputy Culture Minister Lucia Bergonzoni will be meeting this week with executives from Siae and Meta to try and broker an agreement.
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Italy Bans ChatGPT Causing Debate as Country Spars With Silicon Valley
|
Italy Bans ChatGPT Causing Debate Country Spars With Silicon Valley Variety Italy Bans ChatGPT Causing Debate Country Spars With Silicon Valley Variety Plus Icon Click expand Mega Menu Plus Icon Click Expand Input Have News Tip? Newsletters Switch edition U.S. Edition Asia Edition Global Edition U.S. Asia Global Variety Log Account Print Plus Print Plus Variety Print Plus r Print Plus Features Logout Help VIP VIP Access VIP account Plus Icon Account Print Plus Print Plus Variety Print Plus r Print Plus Features Logout Help VIP VIP Access VIP account Log Account Print Plus Print Plus Variety Print Plus r Print Plus Features Logout Help VIP VIP Access VIP account Plus Icon Click expand Mega Menu Plus Icon Click Expand Input Variety Plus Icon Read Next: TikTok Enlisted ExDisney Communications Chief Zenia Mucha Adviser Fight Against U.S. Ban Report Log Account Print Plus Print Plus Awallenstein Variety Print Plus r Print Plus Features Logout Help VIP VIP Access VIP account Plus Icon Account Print Plus Print Plus Awallenstein Variety Print Plus r Print Plus Features Logout Help VIP VIP Access VIP account Plus Icon Film Plus Icon TV Plus Icon What To Watch Plus Icon Music Plus Icon Docs Plus Icon Tech Plus Icon Global Plus Icon Awards Circuit Plus Icon Video Plus Icon What To Hear VIP Home Digital Global Apr 3, 2023 4:14am PT Italys Ban ChatGPT Sparks Controversy Local Industry Spars With Silicon Valley Other Matters By Nick Vivarelli Plus Icon Nick Vivarelli International Correspondent Latest Italys Ban ChatGPT Sparks Controversy Local Industry Spars With Silicon Valley Other Matters 43 mins ago Fremantle COO Andrea Scrosati Talks Disney Warner Bros. Discovery Cost Cuts, WGA Strike Prospects IDMFilm Commission Sdtirol Confab 3 days ago Bobby Moresco Set Direct Maserati Origins Movie Maserati: A Racing LifeFollowing Lamborghini EXCLUSIVE 3 days ago See All Getty The Italian governments decision Friday ban artificial intelligence tool ChatGPT worlds country block chatbot sparking local controversy. The criticized government Italys entertainment industry arms Silicon Valley fronts. Italys Data Protection Authority Friday said ordered Californiabased OpenAI temporarily block countrys internet users gaining access ChatGPT following verified data breach claims represents possible violation European Union data protection rules. According Italian government watchdog, OpenAI illegally gathering personal data Italian customers involving ChatGPT users conversations information subscriber payments ageverification place, exposing children responses chatbot absolutely inappropriate age awareness, said statement. OpenAI said late Friday night statement disabled ChatGPT Italian users governments request. The company stated working reduce personal data training AI systems like ChatGPT want AI learn world, private individuals. The company added hopes ChatGPT available Italy soon. The Italian watchdog says OpenAI report 20 days measures taken ensure privacy users data face fine 20 million euros nearly 22 million 4 annual global revenue. Italys decision ban ChatGPT comes amid growing chorus concerns artificial intelligence boom industry sectors world. Last week group 1,000 U.S. scientists tech leaders including Elon Musk, OpenAI cofounder, signed open letter urging moratorium development powerful artificial intelligence systems saying pose profound risks society humanity safety policies implemented. Italy government ban ChatGPT privacy concerns, chatbot draws massive database digital books online material mimic human writing styles engage humanlike conversations, currently unavailable China, North Korea, Russia Iran, OpenAI decided accessible undemocratic countries. But Italian government ChatGPT ban sparked complaints. We hypocritical, tweeted weekend Italys Deputy Prime Minister Matteo Salvini claims opposes forms censorship. The prominent right wing politician pointed problems related privacy pertain practically online services. Salvini went add Common sense required expressed hope rapid clarification resumption service. Meanwhile use artificial intelligence entertainment industry center labor dispute Italian dubbers recently went strike partly effort obtain contractual safeguard dubbing devices cuttingedge AI technology starting change Hollywood localizes movies TV shows. In dispute involving Italy Silicon Valley, Italian song rights collecting society Siae, government run, engaged battle Meta social media giant month started excluding repertoire Facebook Instagram platforms amid deadlocked licensing negotiations. According SIAE bone contention Metas alleged refusal share consumption data. A refusal claims EU copyright law principles. Italian Deputy Culture Minister Lucia Bergonzoni meeting week executives Siae Meta try broker agreement. Read More About: ChatGPT, Italy, Meta Comments JavaScript required load comments. Loading comments... Most Popular Jack Black Wants Call Elon Musks Bluff Removing Twitter Verification Checkmarks: Its Definitely Not Cool Pay It KSI Apologizes Racial Slur, Takes Break From Social Media Dungeons Dragons Begins International Box Office Campaign With 33 Million, John Wick 4 Stays Top Natasha Lyonne Shows Her Cards: The Poker Face Star Quitting Smoking Wanting Play More Feminine Characters Yellowstone Cast Creator Taylor Sheridan Skip PaleyFest Last Minute Amid Kevin Costner Drama Box Office: Dungeons Dragons Rolls 38.5 Million Opening Weekend Ari Aster, Joaquin Phoenix Unveil Sometimes Scary, Frequently Funny, Deeply Weird ThreeHour Beau Is Afraid Surprise Screening Elon Musks Twitter Updates Verified User Descriptions So You Cant Tell Who Paid Blue CheckMark Anymore Secret Invasion Trailer: Nick Fury Fights Off Skrulls Marvels Alien Espionage Series Paul Mescal, Jodie Comer, My Neighbor Totoro Win Big Olivier Awards Must Read TV Natasha Lyonne Shows Her Cards: The Poker Face Star Quitting Smoking Wanting Play More Feminine Characters By Andrew Wallenstein 2 days Music Ryuichi Sakamoto, Pioneering Electronic Musician Oscar Winner Last Emperor Score, Dies 71 Film Box Office: Dungeons Dragons Rolls 38.5 Million Opening Weekend TV Lizzy Caplan Her Surprise Party Down Cameo Hopes Season 4 Digital Jack Black Wants Call Elon Musks Bluff Removing Twitter Verification Checkmarks: Its Definitely Not Cool Pay It Sign Up Variety Newsletters Your Email Sign Up Sign Up By subscribing, I agree Terms Use . 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https://variety.com/2023/digital/news/zoom-response-customer-content-ai-training-1235689725/
| 2023-08-07T00:00:00 |
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Zoom Says It's Not Stealing Customer Content to Train AI Models - Variety
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Zoom Says It's Not Stealing Customer Content to Train AI Models - Variety
Zoom Says It’s Not Stealing Customer Content to Train AI Models – Variety
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Aug 7, 2023 11:07am PT
Zoom Says It’s Not Stealing Customer Content to Train AI Models
By
Todd Spangler
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Todd Spangler
NY Digital Editor
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A recent change to Zoom’s terms of service pertaining to AI set off alarm bells in Hollywood and the tech world — with some interpreting the videoconferencing provider’s update as granting the company royalty-free rights in perpetuity for customer video calls and presentations for the purposes of training AI models.
In response, Zoom said it doesn’t use any customer audio, video or chat content for training AI without consent. In addition, the company says, the “service-generated data” it collects is to “make sure that we aren’t unwittingly being used to spam or defraud participants” using its AI-powered features.
A post Sunday on the blog StackDiary said Zoom’s new terms of service appeared to look as if the company was “willing to be all its chips on reusing other people’s content for AI training.”
The post cited section 10.4 of Zoom’s TOS, which says, “You agree to grant and hereby grant Zoom a perpetual, worldwide, non-exclusive, royalty-free, sublicensable, and transferable license and all other rights required or necessary to redistribute, publish, import, access, use, store, transmit, review, disclose, preserve, extract, modify, reproduce, share, use, display, copy, distribute, translate, transcribe, create derivative works, and process Customer Content and to perform all acts with respect to the Customer Content,” including for the purpose of “machine learning” and “artificial intelligence” for the “improvement of the services, software, or Zoom’s other products, services, and software.”
“This effectively allows Zoom to train its AI on customer content without providing an opt-out option, a decision that is likely to spark significant debate about user privacy and consent,” StackDiary’s Alex Ivanovs wrote.
“Never using @Zoom again,” Justine Bateman, the filmmaker who is an AI adviser to SAG-AFTRA, posted on X (Twitter) Sunday, citing the StackDiary post.
In a blog post Monday, Zoom chief product officer Smita Hashim said the company updated the terms of service in March 2023 to “be more transparent about how we use and who owns the various forms of content across our platform.” According to Zoom, “For AI, we do not use audio, video or chat content for training our models without customer consent.”
Zoom recently rolled out two generative AI features: Zoom IQ Meeting Summary and Zoom IQ Team Chat Compose, which offer automated meeting summaries and “AI-powered chat composition,” according to Hashim. Zoom account owners and administrators control whether to enable these AI features for their accounts, she noted. If they agree to use the features, they also grant a license to Zoom for AI training.
The licensing language in section 10.4 of Zoom’s terms of service is intended to ensure “that if we provided value-added services (such as a meeting recording), we would have the ability to do so without questions of usage rights,” Hashim wrote. “The meeting recording is still owned by the customer, and we have a license to that content in order to deliver the service of recording.”
The confusion over the AI parts of Zoom’s terms of service comes as SAG-AFTRA and WGA are both on strike as they seek a new contract from the Alliance of Motion Picture and Television Producers. With regard to AI, the writers union wants AMPTP protections against AI being used to generate scripts or serving as source material. SAG-AFTRA wants guarantees that performers, including background actors, will have full consent and compensation rights over any use of a “digital replica” made of such performers.
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Zoom Says It's Not Stealing Customer Content to Train AI Models
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Zoom Says Its Not Stealing Customer Content Train AI Models Variety Zoom Says Its Not Stealing Customer Content Train AI Models Variety Plus Icon Click expand Mega Menu Plus Icon Click Expand Input Have News Tip? Newsletters Switch edition U.S. Edition Asia Edition Global Edition U.S. Asia Global Variety Log Account Variety Digital Variety Archives VIP Welcome My Account View Variety Archives View VIP Variety Digital Variety Digital Variety Archives VIP Log Out Plus Icon Account Plus Icon Variety Digital Variety Archives VIP Welcome My Account View Variety Archives View VIP Variety Digital Variety Digital Variety Archives VIP Log Out Log Account Variety Digital Variety Archives VIP Welcome My Account View Variety Archives View VIP Variety Digital Variety Digital Variety Archives VIP Log Out Plus Icon Click expand Mega Menu Plus Icon Click Expand Input Variety Plus Icon Read Next: Kristin Cavallari Launch Relationship Podcast Dear Media EXCLUSIVE Log Account Variety Digital Variety Archives VIP Welcome My Account View Variety Archives View VIP Variety Digital Variety Digital Variety Archives VIP Log Out Plus Icon Account Plus Icon Variety Digital Variety Archives VIP Welcome My Account View Variety Archives View VIP Variety Digital Variety Digital Variety Archives VIP Log Out Plus Icon Film Plus Icon TV Plus Icon What To Watch Plus Icon Music Plus Icon Docs Plus Icon Tech Plus Icon Global Plus Icon Awards Circuit Plus Icon Video Plus Icon What To Hear VIP Home Digital News Aug 7, 2023 11:07am PT Zoom Says Its Not Stealing Customer Content Train AI Models By Todd Spangler Plus Icon Todd Spangler NY Digital Editor xpangler Latest Zoom Says Its Not Stealing Customer Content Train AI Models 11 mins ago Will MuskZuckerberg MMA Cage Match Actually Happen? Zuck Says, Not Holding My Breath 4 hours ago Twitch Influencer Kai Cenats AMP Group Apologizes After Union Square Park Riot: We Do Not Condone That Behavior 2 days ago See All Justin SullivanGetty Images A recent change Zooms terms service pertaining AI set alarm bells Hollywood tech world interpreting videoconferencing providers update granting company royaltyfree rights perpetuity customer video calls presentations purposes training AI models. In response, Zoom said doesnt use customer audio, video chat content training AI consent. In addition, company says, servicegenerated data collects sure arent unwittingly spam defraud participants AIpowered features. A post Sunday blog StackDiary said Zooms new terms service appeared look company willing chips reusing peoples content AI training. The post cited section 10.4 Zooms TOS, says, You agree grant grant Zoom perpetual, worldwide, nonexclusive, royaltyfree, sublicensable, transferable license rights required necessary redistribute, publish, import, access, use, store, transmit, review, disclose, preserve, extract, modify, reproduce, share, use, display, copy, distribute, translate, transcribe, create derivative works, process Customer Content perform acts respect Customer Content, including purpose machine learning artificial intelligence improvement services, software, Zooms products, services, software. This effectively allows Zoom train AI customer content providing optout option, decision likely spark significant debate user privacy consent, StackDiarys Alex Ivanovs wrote. Never again, Justine Bateman, filmmaker AI adviser SAGAFTRA, posted X Twitter Sunday, citing StackDiary post. In blog post Monday, Zoom chief product officer Smita Hashim said company updated terms service March 2023 transparent use owns forms content platform. According Zoom, For AI, use audio, video chat content training models customer consent. Zoom recently rolled generative AI features: Zoom IQ Meeting Summary Zoom IQ Team Chat Compose, offer automated meeting summaries AIpowered chat composition, according Hashim. Zoom account owners administrators control enable AI features accounts, noted. If agree use features, grant license Zoom AI training. The licensing language section 10.4 Zooms terms service intended ensure provided valueadded services meeting recording, ability questions usage rights, Hashim wrote. The meeting recording owned customer, license content order deliver service recording. The confusion AI parts Zooms terms service comes SAGAFTRA WGA strike seek new contract Alliance Motion Picture Television Producers. With regard AI, writers union wants AMPTP protections AI generate scripts serving source material. SAGAFTRA wants guarantees performers, including background actors, consent compensation rights use digital replica performers. Read More About: artificial intelligence, Zoom Comments JavaScript required load comments. Loading comments... Most Popular Barbie Surpasses 1 Billion Globally After 17 Days Release Is Mission: Impossible Series Due Reckoning? YouTube Superstar MrBeast Sued 100 Million Company Behind His Virtual Burger Restaurant Chain Noah Schnapps Coming Out Journey: The Stranger Things Star Would Still Be Closeted Not Will Byers Being Gay Box Office: Meg 2 Swims 112 Million Overseas, Oppenheimer Hits 550 Million Globally Oscars Predictions: Best Supporting Actor Ryan Gosling Robert Downey Jr. Could Next Barbenheimer Battle Watch Barbie Rules Box Office Again With 53 Million, Taking Down Meg 2 Teenage Mutant Ninja Turtles Twitch Influencer Kai Cenats AMP Group Apologizes After Union Square Park Riot: We Do Not Condone That Behavior William Friedkin, The Exorcist Director, Dies 87 How Tommy Lee Jones Fugitive Performance Anchored One Best Oscar Races All Time Must Read Film Meg 2 Looks Bonkers, But Can It Compare With Hollywoods Wildest Shark Movies? By Andrew Wallenstein 2 days Film Where Buy I Am Kenough Hoodie From Barbie TV Angus Clouds Last Day Was Joyful One, Shares Actors Mother Music Taylor Swifts Eras Tour: Every Surprise Song Shes Played So Far Biz WGA, AMPTP Meet But No New Negotiations Set Yet Sign Up Variety Newsletters Your Email Sign Up Sign Up By subscribing, I agree Terms Use . This site protected reCAPTCHA Enterprise Google apply. Strictly Business A Variety iHeartRadio Podcast More From Our Brands Rolling Stone Trump Takes Another L E. 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https://venturebeat.com/2020/03/23/fda-allows-alivecors-ai-ecg-to-detect-coronavirus-drug-induced-heart-problems/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2020-03-23T00:00:00 |
en
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FDA allows AliveCor's AI ECG to detect coronavirus drug-induced heart problems | VentureBeat
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FDA allows AliveCor's AI ECG to detect coronavirus drug-induced heart problems | VentureBeat
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Mobile
FDA allows AliveCor’s AI ECG to detect coronavirus drug-induced heart problems
Jeremy Horwitz@horwitz March 23, 2020 11:26 AM
Image Credit: AliveCor
While rivals worked to build basic ECG functionality into smartwatches, AliveCor received FDA approval last year for a first-of-kind six-lead consumer ECG — the KardiaMobile 6L — that could be positioned at multiple sites on the user’s body, gathering additional heart rate data for broader measurements and greater diagnostic accuracy. Now, as the COVID-19 outbreak continues to worsen in the U.S., the FDA is permitting an expanded use of the device: Healthcare professionals can now use it to look for dangerously prolonged heartbeats caused by coronavirus medications.
Enabling an inexpensive, pocket-sized device to monitor COVID-19 patients could save lives during the pandemic, since multiple drugs are being rushed through testing to fight the virus. Although options such as hydroxychloroquine and azithromycin have been separately used for years to treat malaria and various bacterial infections, they may collectively prolong a patient’s “QT interval” — the time from the start of each heartbeat’s big Q wave spike to the end of its subsequent small T wave bump — and lead to drug-induced sudden cardiac death, a side effect even worse than the infection.
AliveCor notes that over 100 FDA-approved medications may prolong the QT interval, which is to say that something that appears to be effective at fighting COVID-19 could also silently kill patients. Moreover, hospitals are expecting an unprecedented influx of patients due to the coronavirus, surpassing their on-hand supplies of important equipment. Using KardiaMobile 6L to monitor patients for QT issues could free up both personnel and medical-grade ECG machines for other purposes.
KardiaMobile 6L “can play a key role in obtaining the patient’s QTc as a vital sign to help guide the rapid and safe use of these drugs,” said Mayo Clinic sudden death genomics lab director Michael J. Ackerman M.D., Ph.D. “In addition, the patient’s QTc can be obtained without exposing ECG technicians to affected patients, which helps to conserve personal protection equipment and thereby expand the capacity of our strained medical resources.”
The good news is that KardiaMobile 6L is available now, and health care professionals can manually calculate QT duration from six-lead ECG measurements patients take. On the other hand, its automated AI-driven monitoring solution doesn’t yet look for the issue, an omission the company says it will “soon” address with a “professional QTc monitoring service which would quickly provide the actual QTc value to health professionals.”
KardiaMobile 6L remains available for $149, a modest premium over the original $99 single-lead KardiaMobile. Unlike conventional ECG hardware, which has the footprint of a desk chair and is rolled by trained practitioners from room to room, KardiaMobiles can be attached to an Android or iOS phone using optional $15 phone clips and used by average consumers with a free AliveCor app. AliveCor is also working with Xiaomi’s Huami unit to incorporate heart rate-monitoring technologies into wearables with “entirely new ECG form factors” this year.
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FDA allows AliveCor's AI ECG to detect coronavirus drug-induced heart problems
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FDA allows AliveCors AI ECG detect coronavirus druginduced heart problems 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: AI Security 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 Mobile FDA allows AliveCors AI ECG detect coronavirus druginduced heart problems Jeremy Horwitz March 23, 2020 11:26 AM Image Credit: AliveCor While rivals worked build basic ECG functionality smartwatches,AliveCor received FDA approval year firstofkind sixleadconsumer ECG KardiaMobile 6L positioned multiple sites users body, gathering additional heart rate data broader measurements greater diagnostic accuracy. Now, COVID19 outbreak continues worsen U.S.,the FDA permitting expanded use device: Healthcare professionals use look dangerously prolonged heartbeats caused coronavirus medications. Enabling inexpensive, pocketsized device monitor COVID19 patients save lives pandemic, multiple drugs rushed testing fight virus. Although options hydroxychloroquine azithromycin separately years treat malaria bacterial infections, collectively prolong patients QT interval time start heartbeats big Q wave spike end subsequent small T wave bump lead druginduced sudden cardiac death, effect worse infection. AliveCor notes 100 FDAapproved medications prolong QT interval, appears effective fighting COVID19 silently kill patients. Moreover,hospitals expecting unprecedented influx patients coronavirus, surpassing onhand supplies important equipment. Using KardiaMobile 6L monitor patients QT issues free personnel medicalgrade ECG machines purposes. KardiaMobile 6L play key role obtaining patients QTc vital sign help guide rapid safe use drugs, said Mayo Clinic sudden death genomics lab director Michael J. Ackerman M.D., Ph.D. In addition, patients QTc obtained exposing ECG technicians affected patients, helps conserve personal protection equipment expand capacity strained medical resources. The good news KardiaMobile 6L available now, health care professionals manually calculate QT duration sixlead ECG measurements patients take. On hand, automated AIdriven monitoring solution doesnt look issue, omission company says soon address professional QTc monitoring service quickly provide actual QTc value health professionals. KardiaMobile 6L remains available 149, modest premium original 99 singlelead KardiaMobile. Unlike conventional ECG hardware, footprint desk chair rolled trained practitioners room room, KardiaMobiles attached Android iOS phone optional 15 phone clips average consumers free AliveCor app. AliveCor working Xiaomis Huami unit incorporate heart ratemonitoring technologies wearables entirely new ECG form factors year. VB Transform The AI event business leaders San Francisco July 15 16 Learn More Most Read Nvidias DLSS 2.0 aims prove technology essential IBM launches Weather Channel map track coronavirus IBM, White House, Department Energy, launch consortium coronavirus researchers access supercomputers Nintendo ad buy shows wanted buy Switch Lite Animal Crossing dropped ProBeat: The rise inevitable fall Microsoft Teams Slack 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.
| 2,020 |
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https://venturebeat.com/2020/06/10/domino-data-lab-raises-43-million-to-help-companies-keep-their-ai-models-up-to-date/
| 2020-06-10T00:00:00 |
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Domino Data Lab raises $43 million to help companies keep their AI models up to date | VentureBeat
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Domino Data Lab raises $43 million to help companies keep their AI models up to date | VentureBeat
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AI
Domino Data Lab raises $43 million to help companies keep their AI models up to date
Kyle Wiggers@Kyle_L_Wiggers June 10, 2020 6:00 AM
Image Credit: Domino Data Lab
Domino Data Lab, a startup developing a platform focused on enterprises with large data science teams, today announced that it raised $43 million in equity financing. It comes as the company introduces upgrades across its solutions portfolio, and as it launches a new suite of technologies — Domino Model Monitor — designed to prevent AI models from mistakenly exhibiting bias or degrading.
In general, a model’s accuracy will be at its best until it’s used, a theory known as concept drift. The statistical properties of the variable the model is attempting to predict inevitably shift over time. People’s preferences change, for instance, or a rival company makes a move that upends certain assumptions. Domino — whose customers include Dell, Allstate, UBS, Bristol Meyers, ConocoPhillips, and Lockheed Martin — aims to mitigate drift with products that automate various model-refreshing processes.
Domino’s Workbench enables engineers to leverage existing tools in tracking, reproducing, and comparing experiments while finding, discussing, and reusing work in one place. They can spin up interactive workspaces on hardware of their choice and scale to more powerful compute resources if necessary, all while using a built-in package manager to organize the libraries and tools tapped throughout a project and versioned data sets to track data used during model training and testing. The Workbench’s reporting features let admins schedule reports to be generated and delivered to stakeholders automatically, while data pipelines handle tasks to keep models up to date. And its on-demand launchers make analysis forms for business users to self-serve.
On the model operations side of the equation, Domino lets customers deploy models as on-demand APIs or export models for deployment on other infrastructure. Model Monitor detects data drift — the change in data that leads to performance degradation — and monitors the performance of models in the wild while alerting engineers to those that underperform. A complimentary registry shows the status of models at a glance regardless of where or how they were deployed, and integrations with Jira and other enterprise tools maintain the level of auditability — and security — required for regulatory compliance.
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According to Domino, it’s not uncommon to see production models degrade in accuracy between 10% and 20% — particularly during turbulent socioeconomic times. “Now more than ever, companies need to be aware of changes to buyer preferences, economic changes, and other external factors outside their control that render their models obsolete,” a spokesperson told VentureBeat. “Domino gives companies the ability to detect … changes [using] a dashboard … Even if they don’t want to monitor the dashboard, they can set thresholds so that … notifications can be sent out to notify key people that it’s time to either retrain it using updated data from today’s world, or completely rebuild it using a new algorithm.”
Domino also keeps tabs on compute and measures the business impact of model APIs, apps, and more as it surfaces project health in terms of both progress and potential roadblocks. Soon, thanks to recent updates on the platform’s backend, Domino will let clients make externally hosted Git code repositories (on GitHub, Bitbucket, etc.) the primary way of housing project files. And additional improvements are on the way, including on-demand Spark clusters for distributed processing, support for Kubernetes orchestration with Microsoft Azure and Red Hat Openshift, and the ability to export model images to Amazon Web Services (AWS) Sagemaker.
San Francisco-based Domino is targeting companies in insurance, financial services, internet and technology, life sciences, manufacturing, media and retail, health care, oil and gas, and banking in a bid for a slice of the emerging “MLOps” market. It’s seemingly well on its way; this latest funding round, which was co-led by Highland Capital Partners and Dell Capital, brings its total raised to over $123.6 million following a $40 million series D in August 2018.Sign up for Funding Weekly to start your week with VB's top funding stories.
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Domino Data Lab raises $43 million to help companies keep their AI models up to date
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Domino Data Lab raises 43 million help companies AI models date 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 Domino Data Lab raises 43 million help companies AI models date Kyle Wiggers June 10, 2020 6:00 AM Image Credit: Domino Data Lab Domino Data Lab, startup developing platform focused enterprises large data science teams, today announced raised 43 million equity financing. It comes company introduces upgrades solutions portfolio, launches new suite technologies Domino Model Monitor designed prevent AI models mistakenly exhibiting bias degrading. In general, models accuracy best used, theory known concept drift. The statistical properties variable model attempting predict inevitably shift time. Peoples preferences change, instance, rival company makes upends certain assumptions. Domino customers include Dell, Allstate, UBS, Bristol Meyers, ConocoPhillips, Lockheed Martin aims mitigate drift products automate modelrefreshing processes. Dominos Workbench enables engineers leverage existing tools tracking, reproducing, comparing experiments finding, discussing, reusing work place. They spin interactive workspaces hardware choice scale powerful compute resources necessary, builtin package manager organize libraries tools tapped project versioned data sets track data model training testing. The Workbenchs reporting features let admins schedule reports generated delivered stakeholders automatically, data pipelines handle tasks models date. And ondemand launchers analysis forms business users selfserve. On model operations equation, Domino lets customers deploy models ondemand APIs export models deployment infrastructure. Model Monitor detects data drift change data leads performance degradation monitors performance models wild alerting engineers underperform. A complimentary registry shows status models glance regardless deployed, integrations Jira enterprise tools maintain level auditability security required regulatory compliance. VB Transform 2020 Online July 1517. Join leading AI executives: free livestream. According Domino, uncommon production models degrade accuracy 10 20 particularly turbulent socioeconomic times. Now ever, companies need aware changes buyer preferences, economic changes, external factors outside control render models obsolete, spokesperson told VentureBeat. Domino gives companies ability detect changes [using] dashboard Even dont want monitor dashboard, set thresholds notifications sent notify key people time retrain updated data todays world, completely rebuild new algorithm. Domino keeps tabs compute measures business impact model APIs, apps, surfaces project health terms progress potential roadblocks. Soon, thanks recent updates platforms backend, Domino let clients externally hosted Git code repositories GitHub, Bitbucket, etc. primary way housing project files. And additional improvements way, including ondemand Spark clusters distributed processing, support Kubernetes orchestration Microsoft Azure Red Hat Openshift, ability export model images Amazon Web Services AWS Sagemaker. San Franciscobased Domino targeting companies insurance, financial services, internet technology, life sciences, manufacturing, media retail, health care, oil gas, banking bid slice emerging MLOps market. Its seemingly way; latest funding round, coled Highland Capital Partners Dell Capital, brings total raised 123.6 million following 40 million series D August 2018.Sign Funding Weekly start week VBs funding stories. VB Transform The AI event business leaders Hosted Online July 15 17 Learn More Most Read Rogue Games adds 5 mobile games Google Play Pass Ford launches Spin internationally escooter demand surges Flatfile raises 7.6 million AI extracts transforms spreadsheet data Domino Data Lab raises 43 million help companies AI models date NS8 raises 123 million thwart ecommerce fraud behavioral analytics UPCOMING EVENTS VB Transform July 1517 The AI event year enterprise executives, brought todays leading AI publisher. 10 great deals Fathers Day gifts dad actually want This Microsoft Excel training bundle 34 right Get lifetime amazing stock images videos 100 Inject real estate strategy tons data 30 Store 5TB data cloud life 80 Charge disinfect smartphone Qi charger 50 8 great deals safe healthy View deals store
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https://venturebeat.com/2021/10/05/neural-magic-which-offers-software-for-growing-edge-ai-market-gets-30-million-boost/
| 2021-10-05T00:00:00 |
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Neural Magic, which offers software for growing edge AI market, gets $30 million boost | VentureBeat
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Neural Magic, which offers software for growing edge AI market, gets $30 million boost | VentureBeat
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Neural Magic, which offers software for growing edge AI market, gets $30 million boost
Matt Marshall@mmarshall
October 5, 2021 6:00 AM
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Image Credit: Neural Magic
The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now!
Neural Magic, a company that offers software to allow deep learning to be deployed more easily in edge locations, today announced a $30 million Series A funding.
The market for edge AI is exploding, as more companies deploy it in a variety of applications across industries — including in areas like asset maintenance and monitoring, factory automation, and telehealth. The market is expected to be worth $1.83 billion by 2026, according to one report by Markets and Markets.
But increasingly, customer accelerator chips made by companies like Google and Nvidia to do this “inference” on the edge are unable to keep up with the improvements in efficiency, speed and cost that additional software approaches offer, like the one pushed by Neural Magic.
Many companies and developers prefer the simplicity of using basic CPU chips optimizing with software. For example, a company like Target has racks of hardware in every store, and that company might prefer to optimize with software made by Neural Magic over making complex, bespoke investments in to specialized accelerator chips like Google’s Tensor Processing Unit (TPU), said Brian Stevens, CEO of Neural Magic in an interview with VentureBeat.
“That’s the world we’re trying to create. We want to give developers the flexibility to deploy AI on commodity processors already located in the edge location,” he said.
This financing, which brings the company’s total amount raised to $50 million, was led by existing investor NEA with participation from Andreessen Horowitz, Amdocs, Comcast Ventures, Pillar VC, and Ridgeline Ventures.
The new capital will be used to invest in both the open source inference models Neural Magic has built, and the proprietary engine the company offers for developers to deploy the models.
Since the company launched two years ago, a host of other startups have emerged offering some sort of AI software at the edge, including NeuReality, Deci, CoCoPie, OctoML and DeepCube. However, Neural Magic is the only company offering free open source modeling, matched with a software deployment engine optimized for speed, Stevens said
Players like AMD and Intel are also working on optimization software layers for their hardware. For example, Intel as released OpenVino, a free toolkit for optimizing deep learning models. However, Neural Magic offers what it calls “recipes” that can be plugged into machine learning libraries like PyTorch that can make models more sparse and speed up its engine, Stevens said.
The company’s open source offering was launched quietly in February, and now has upward of 1000 unique installs a week, according to Stevens, who took over as CEO this year. The traction was enough for NEA’s Greg Papadopoulos to get excited about the company, lead the latest investment, and join Neural Magic’s board, Stevens said. Papadopoulos is the former CTO of Sun Microsystems, and has done work at MIT on parallel dataflow computing architectures. A hardware expert, Papadopoulos came to believe that hardware brings too much friction to inference, and thus companies like NVIDIA won’t be able to own the market with GPU hardware optimizations alone.VentureBeat
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Neural Magic, which offers software for growing edge AI market, gets $30 million boost
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Neural Magic, offers software growing edge AI market, gets 30 million boost VentureBeat Skip main content VentureBeat Home Events GamesBeat Jobs Low Code No Code Summit Account Settings Log Out Become Member VentureBeat Home VentureBeat ARVR Big Data Cloud Commerce 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 Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat Community access 3 premium posts 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 Neural Magic, offers software growing edge AI market, gets 30 million boost Matt Marshall October 5, 2021 6:00 AM Share Facebook Share Twitter Share LinkedIn Image Credit: Neural Magic The Transform Technology Summits start October 13th LowCodeNo Code: Enabling Enterprise Agility. Neural Magic, company offers software allow deep learning deployed easily edge locations, today announced 30 million Series A funding. The market edge AI exploding, companies deploy variety applications industries including areas like asset maintenance monitoring, factory automation, telehealth. The market expected worth 1.83 billion 2026, according report Markets Markets. But increasingly, customer accelerator chips companies like Google Nvidia inference edge unable improvements efficiency, speed cost additional software approaches offer, like pushed Neural Magic. Many companies developers prefer simplicity basic CPU chips optimizing software. For example, company like Target racks hardware store, company prefer optimize software Neural Magic making complex, bespoke investments specialized accelerator chips like Googles Tensor Processing Unit TPU, said Brian Stevens, CEO Neural Magic interview VentureBeat. Thats world trying create. We want developers flexibility deploy AI commodity processors located edge location, said. This financing, brings companys total raised 50 million, led existing investor NEA participation Andreessen Horowitz, Amdocs, Comcast Ventures, Pillar VC, Ridgeline Ventures. The new capital invest open source inference models Neural Magic built, proprietary engine company offers developers deploy models. Since company launched years ago, host startups emerged offering sort AI software edge, including NeuReality, Deci, CoCoPie, OctoML DeepCube. However, Neural Magic company offering free open source modeling, matched software deployment engine optimized speed, Stevens said Players like AMD Intel working optimization software layers hardware. For example, Intel released OpenVino, free toolkit optimizing deep learning models. However, Neural Magic offers calls recipes plugged machine learning libraries like PyTorch models sparse speed engine, Stevens said. The companys open source offering launched quietly February, upward 1000 unique installs week, according Stevens, took CEO year. The traction NEAs Greg Papadopoulos excited company, lead latest investment, join Neural Magics board, Stevens said. Papadopoulos CTO Sun Microsystems, work MIT parallel dataflow computing architectures. A hardware expert, Papadopoulos came believe hardware brings friction inference, companies like NVIDIA wont able market GPU hardware optimizations alone.VentureBeat VentureBeats mission digital town square technical decisionmakers gain knowledge transformative technology transact. Our site delivers essential information data technologies strategies guide lead organizations. We invite member community, access: uptodate information subjects newsletters gated thoughtleader content discounted access prized events, Transform 2021: Learn More networking features, Become member Whats open source decade data Open source engine innovation, offering reliability, scalability security IT leaders intent futureproofing infrastructure. Learn how. Transform Technology Summits Hear CIOs, CTOs, Clevel execs data AI strategies Learn More 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 2021 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/2022/04/02/elevating-human-machine-relationships-with-no-code-reusable-ai/
| 2022-04-02T00:00:00 |
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Elevating human-machine relationships with no-code, reusable AI | VentureBeat
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Elevating human-machine relationships with no-code, reusable AI | VentureBeat
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Elevating human-machine relationships with no-code, reusable AI
Michelle Zhou, Ph.D.@juji_io
April 2, 2022 9:10 AM
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Image Credit: Colin Anderson Productions pty ltd/Getty
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Learn more about Transform 2022
Our abilities to invent and use tools are critical to human evolution. Computers as tools have certainly advanced humanity since their inception. As computing technologies advance, human-machine relationships have also been evolving. Initially only computer developers or programmers can operate computers by giving machine (programming) instructions that computers can understand and follow. With the development of graphical user interfaces (GUI), the masses can now operate computers with no code. The human-machine relationships however remain to be operator-machine relationships, during which humans must tell machines precisely what to do.
With the rise of artificial intelligence (AI) — computers with certain human skills — the human-machine relationships may be completely redefined. For example, computers with human visual perceptual skills can augment security personnel to rapidly recognize objects in mountains of surveillance images or computers with human language skills can augment paralegals to summarize large amounts of text documents. However, teaching machines human skills is a complex, time-consuming process, requiring deep expertise and programming skills, not to mention the efforts for collecting, cleaning, and annotating large amounts of training data needed to train machines with desired skills.
Just like the no-code, GUI-driven computer operations, what if humans, the security personnel and paralegals alike, can teach machines human skills with no code? Like in the movie Her, what if we can adopt a turnkey AI assistant with built-in human skills and easily customize it with no code to meet our specific needs? This vision of no-code, reusable AI will certainly elevate our current operator-machine relationships to the supervisor-assistant relationships. Not only will the new relationships enable us humans to be augmented by AI instead of being replaced by it, but the no-code nature will also democratize human augmentation.
1. AI by human skills
Depending on the tasks to be achieved, AI systems are trained to possess different human skills. Figure 1 lists example AI systems by human skills. Certain AI systems use a single type of human skills, such as human visual perception or linguistic skills, to perform a specific task, such as object identification or sentiment analysis. In contrast, more complex AI systems use multiple human skills together to achieve complex tasks. For example, a self-driving car must use multiple human skills, such as human visual perception and decision-making skills, to achieve its driving goals. Likewise, a conversational AI assistant must employ multiple human skills, such as communication skills or certain human soft skills (e.g., active listening), to accomplish its tasks.
Figure 1. Example AI systems with different human skills.2. Multi-level reusable AI
No matter whether an AI system requires a single or multiple human skills to function, creating an AI system from scratch is always difficult and requires much expertise and resources. Just like building a car, instead of building it completely from scratch with raw materials, it would be much easier and quicker if we could quickly customize and piece together pre-built parts and systems, such as the engine, the wheels and the brakes.
While there are many no-code, reusable AI systems, it is most challenging to enable the no-code, reuse of a complex AI system, such as a conversational AI system, because of the technology complexity involved and the requirement of multi-level reuses. Figure 2 shows an example 3-layer architecture in support of a cognitive AI assistant, a new generation of AI assistants with multiple advanced human skills including soft skills.
Figure 2. An example architecture of a cognitive AI assistant with reusable AI at multiple levels.Reusing general-purpose AI models
As shown in Figure 2, the bottom layer is a set of general-purpose machine learning models that any AI system relies on. For example, data-driven neural (deep) learning models, such as BERT and GPT-3, typically are pre-trained on large amounts of public data like Wikipedia. They can be reused across AI applications to process natural language expressions. General-purpose AI models however are inadequate to power a cognitive AI assistant. For example, general-purpose models trained on Wikipedia typically cannot handle nuanced conversational communications, such as managing a conversation or inferring a user’s needs from a conversation.
Reusing specialty AI engines
To power an AI assistant with human soft skills, specialty AI engines (the middle layer) are needed. For example, the active listening engine shown in Figure 2 enables an AI assistant to understand the focus of attention in a conversation and gives it memory so it can correctly interpret a user’s input including incomplete and ambiguous expressions in context as the examples shown in Figure 3.
Figure 3. Examples showing how a cognitive AI assistant interprets the same user input in two different contexts and is able to respond accordingly.Likewise, specialty AI engines like reading between the lines and conversation communication engines power an AI assistant with additional human skills. For example, reading between the lines enables AI assistants to analyze a user’s input during a conversation and automatically infer the user’s unique characteristics (Figure 4). The conversation-specific communication engine enables AI assistants better interpret user expressions during a conversation, such as identifying whether a user input is a question or reflective statement, which warrants different AI responses.
With careful design and implementation, all the specialty AI engines can be made reusable. For example, the active listening conversation engine can be pre-trained with conversation data to detect diverse conversation contexts (e.g., a user is giving an excuse or asking a clarification question) and pre-built with an optimization logic that always tries to balance user experience and task completion when handling user interruptions to guide a conversation.
Figure 4. An example showing how a cognitive AI assistant is able to analyze user conversational text and automatically infer the user’s soft skills. Reusing whole AI assistants
In addition to reusing individual AI components/skills, the ultimate goal is to reuse a whole AI solution. In the context of building AI assistants, it is to reuse a whole AI assistant based on AI assistant templates with pre-defined workflows and a pertinent knowledge base (the top layer of Figure 2). For example, an AI Recruiting Assistant template includes a set of job interview questions and a knowledge base for answering job-related FAQs. Similarly, an AI Learning Assistant template outlines a workflow, such as checking the learning status of a student and delivering learning instructions or reminders. Such a template can be directly reused to create a turnkey AI assistant or can be quickly customized to suit specific needs as shown below.
3. Reusable AI enabling no-code AI
Since every AI solution typically requires certain customizations, reusable AI enables no-code AI customizations. Below are several examples.
No-code customization of AI assistant templates
Assume that an HR recruiter wishes to create a custom AI Recruiting Assistant based on an existing AI template. Just like using PowerPoint or Excel, the recruiter will use a GUI to customize the interview questions (Figure 5) and job-related FAQs. The no-code customization greatly simplifies the creation of a powerful, end-to-end AI solution especially for non-IT professionals.
Figure 5. No-code customization of an AI Recruiting Assistant to ask a specific question (T17). The AI assistant will handle the discussion on this topic automatically. Continuing the above example, assuming that the recruiter wants the AI assistant to ask job applicants a question “What do you like the best in your current job?”. If an applicant’s response is something similar to “interacting with customers“, the recruiter wants the AI to ask a follow-up question “Could you give me an example that you enjoyed interacting with your customer?” Since the pre-built AI template does not handle this specific case, the recruiter would need to customize the AI communication. Figure 6 shows how such customization could be done with no coding.
Figure 6. No-code customization of an AI assistant based on a user’s response to the question in T17 with a follow-up question (T18). The AI assistant will handle the workflow automatically.4. No-Code, reusable AI defines supervisor-assistant relationships
No-code, reusable AI enables everyone, including non-IT professionals, to create their own custom AI solutions (assistants). An AI assistant only needs to be instructed what to do (e.g., asking users a set of questions) and then performs the tasks automatically (e.g., how to handle user interruptions). This transforms the traditional operator-machine relationships into supervisor-machine relationships. When humans must program/code a machine to teach the machines, humans act in the role of operators/developers of machines. While humans provide machines with high-level, no-code instructions, such as outlining the tasks and teaching new knowledge, humans now become the supervisors of machines. This new relationship enables humans to do more with machines’ help.
5. Future directions of no-code, reusable AI
No-code, reusable AI democratizes the creation and adoption of powerful AI solutions without requiring scarce AI talents or costly IT resources. Furthermore, no-code, reusable AI elevates the human-machine relationships, enabling everyone to be augmented by machine powers. To make no-code, reusable AI the main paradigm for developing and adopting AI solutions, advances must also be made in several areas.
Explainable AI
The first area is to make reusable AI components/systems explainable. To help non-IT personnel reuse pre-trained or pre-built AI components and solutions, it is critical to unbox the “black box” and explain what is inside each component or solution, both pros and cons. The explainable reusable AI not only helps humans better understand and leverage existing AI components/systems and also helps avoid potential AI pitfalls. For example, it would be helpful for an HR recruiter to understand how personal insights are inferred before s/he uses such AI power to infer applicants’ insights.
Automatic AI Debugging
The second area would be the support of automatic AI debugging. As AI solutions become more complex and sophisticated, it is difficult to manually examine potential AI behavior under diverse and complex circumstances. Non-IT users will especially need help in assessing an AI solution (e.g., an AI assistant) and improving it before formally deploying it. Although there is some initial research on profiling AI assistants, much more is needed going forward.
Responsible AI
The third area would be ensuring the responsible uses of AI, especially with the democratization of AI. For example, if someone can simply reuse an AI functional unit to elicit sensitive information from users, how and who can protect the users and their sensitive information? In addition to measuring typical AI performance such as accuracy and robustness, new measures and usage guidelines will be needed to ensure the creation and deployment of trustworthy and safe AI solutions.
Michelle Zhou, Ph.D. is a cofounder and CEO of Juji, Inc.
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Elevating humanmachine relationships nocode, reusable AI VentureBeat Skip main content VentureBeat Home Events GamesBeat Data Pipeline Transform 2022 Account Settings Log Out Become Member VentureBeat Home DataDecisionMakers 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 Data Pipeline 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 Community Elevating humanmachine relationships nocode, reusable AI Michelle Zhou, Ph.D. April 2, 2022 9:10 AM Share Facebook Share Twitter Share LinkedIn Image Credit: Colin Anderson Productions pty ltdGetty We excited bring Transform 2022 inperson July 19 virtually July 20 August 3. Join AI data leaders insightful talks exciting networking opportunities. Learn Transform 2022 Our abilities invent use tools critical human evolution. Computers tools certainly advanced humanity inception. As computing technologies advance, humanmachine relationships evolving. Initially developers programmers operate computers giving machine programming instructions computers understand follow. With development graphical user interfaces GUI, masses operate computers code. The humanmachine relationships remain operatormachine relationships, humans tell machines precisely do. With rise artificial intelligence AI computers certain human skills humanmachine relationships completely redefined. For example, computers human visual perceptual skills augment security personnel rapidly recognize objects mountains surveillance images computers human language skills augment paralegals summarize large amounts text documents. However, teaching machines human skills complex, timeconsuming process, requiring deep expertise programming skills, mention efforts collecting, cleaning, annotating large amounts training data needed train machines desired skills. Just like nocode, GUIdriven operations, humans, security personnel paralegals alike, teach machines human skills code? Like movie Her, adopt turnkey AI assistant builtin human skills easily customize code meet specific needs? This vision nocode, reusable AI certainly elevate current operatormachine relationships supervisorassistant relationships. Not new relationships enable humans augmented AI instead replaced it, nocode nature democratize human augmentation. 1. AI human skills Depending tasks achieved, AI systems trained possess different human skills. Figure 1 lists example AI systems human skills. Certain AI systems use single type human skills, human visual perception linguistic skills, perform specific task, object identification sentiment analysis. In contrast, complex AI systems use multiple human skills achieve complex tasks. For example, selfdriving car use multiple human skills, human visual perception decisionmaking skills, achieve driving goals. Likewise, conversational AI assistant employ multiple human skills, communication skills certain human soft skills e.g., active listening, accomplish tasks. Figure 1. Example AI systems different human skills.2. Multilevel reusable AI No matter AI requires single multiple human skills function, creating AI scratch difficult requires expertise resources. Just like building car, instead building completely scratch raw materials, easier quicker quickly customize piece prebuilt parts systems, engine, wheels brakes. While nocode, reusable AI systems, challenging enable nocode, reuse complex AI system, conversational AI system, technology complexity involved requirement multilevel reuses. Figure 2 shows example 3layer architecture support cognitive AI assistant, new generation AI assistants multiple advanced human skills including soft skills. Figure 2. An example architecture cognitive AI assistant reusable AI multiple levels.Reusing generalpurpose AI models As shown Figure 2, layer set generalpurpose machine learning models AI relies on. For example, datadriven neural deep learning models, BERT GPT3, typically pretrained large amounts public data like Wikipedia. They reused AI applications process natural language expressions. Generalpurpose AI models inadequate power cognitive AI assistant. For example, generalpurpose models trained Wikipedia typically handle nuanced conversational communications, managing conversation inferring users needs conversation. Reusing specialty AI engines To power AI assistant human soft skills, specialty AI engines middle layer needed. For example, active listening engine shown Figure 2 enables AI assistant understand focus attention conversation gives memory correctly interpret users input including incomplete ambiguous expressions context examples shown Figure 3. Figure 3. Examples showing cognitive AI assistant interprets user input different contexts able respond accordingly.Likewise, specialty AI engines like reading lines conversation communication engines power AI assistant additional human skills. For example, reading lines enables AI assistants analyze users input conversation automatically infer users unique characteristics Figure 4. The conversationspecific communication engine enables AI assistants better interpret user expressions conversation, identifying user input question reflective statement, warrants different AI responses. With careful design implementation, specialty AI engines reusable. For example, active listening conversation engine pretrained conversation data detect diverse conversation contexts e.g., user giving excuse asking clarification question prebuilt optimization logic tries balance user experience task completion handling user interruptions guide conversation. Figure 4. An example showing cognitive AI assistant able analyze user conversational text automatically infer users soft skills.Reusing AI assistants In addition reusing individual AI componentsskills, ultimate goal reuse AI solution. In context building AI assistants, reuse AI assistant based AI assistant templates predefined workflows pertinent knowledge base layer Figure 2. For example, AI Recruiting Assistant template includes set job interview questions knowledge base answering jobrelated FAQs. Similarly, AI Learning Assistant template outlines workflow, checking learning status student delivering learning instructions reminders. Such template directly reused create turnkey AI assistant quickly customized suit specific needs shown below. 3. Reusable AI enabling nocode AI Since AI solution typically requires certain customizations, reusable AI enables nocode AI customizations. Below examples. Nocode customization AI assistant templates Assume HR recruiter wishes create custom AI Recruiting Assistant based existing AI template. Just like PowerPoint Excel, recruiter use GUI customize interview questions Figure 5 jobrelated FAQs. The nocode customization greatly simplifies creation powerful, endtoend AI solution especially nonIT professionals. Figure 5. Nocode customization AI Recruiting Assistant ask specific question T17. The AI assistant handle discussion topic automatically.Continuing example, assuming recruiter wants AI assistant ask job applicants question What like best current job?. If applicants response similar interacting customers, recruiter wants AI ask followup question Could example enjoyed interacting customer? Since prebuilt AI template handle specific case, recruiter need customize AI communication. Figure 6 shows customization coding. Figure 6. Nocode customization AI assistant based users response question T17 followup question T18. The AI assistant handle workflow automatically.4. NoCode, reusable AI defines supervisorassistant relationships Nocode, reusable AI enables everyone, including nonIT professionals, create custom AI solutions assistants. An AI assistant needs instructed e.g., asking users set questions performs tasks automatically e.g., handle user interruptions. This transforms traditional operatormachine relationships supervisormachine relationships. When humans programcode machine teach machines, humans act role operatorsdevelopers machines. While humans provide machines highlevel, nocode instructions, outlining tasks teaching new knowledge, humans supervisors machines. This new relationship enables humans machines help. 5. Future directions nocode, reusable AI Nocode, reusable AI democratizes creation adoption powerful AI solutions requiring scarce AI talents costly IT resources. Furthermore, nocode, reusable AI elevates humanmachine relationships, enabling augmented machine powers. To nocode, reusable AI main paradigm developing adopting AI solutions, advances areas. Explainable AI The area reusable AI componentssystems explainable. To help nonIT personnel reuse pretrained prebuilt AI components solutions, critical unbox black box explain inside component solution, pros cons. The explainable reusable AI helps humans better understand leverage existing AI componentssystems helps avoid potential AI pitfalls. For example, helpful HR recruiter understand personal insights inferred uses AI power infer applicants insights. Automatic AI Debugging The second area support automatic AI debugging. As AI solutions complex sophisticated, difficult manually examine potential AI behavior diverse complex circumstances. NonIT users especially need help assessing AI solution e.g., AI assistant improving formally deploying it. Although initial research profiling AI assistants, needed going forward. Responsible AI The area ensuring responsible uses AI, especially democratization AI. For example, simply reuse AI functional unit elicit sensitive information users, protect users sensitive information? In addition measuring typical AI performance accuracy robustness, new measures usage guidelines needed ensure creation deployment trustworthy safe AI solutions. Michelle Zhou, Ph.D. cofounder CEO Juji, . DataDecisionMakers Welcome VentureBeat community DataDecisionMakers experts, including technical people data work, share datarelated insights innovation. If want read cuttingedge ideas uptodate information, best practices, future data data tech, join DataDecisionMakers. You considercontributing articleof Read More From DataDecisionMakers Author Michelle Zhou, Ph.D. Topics AI AI Ethics AI, ML Deep Learning Applied AI Convo AI Customer Engagement convo AI DataDecisionMakers Transform 2022 Hear senior executives worlds leading enterprises experience applied Data AI strategies theyve adopted success. Learn More Transform 2022 Join AI data leaders insightful talks exciting networking opportunities inperson July 19 virtually July 20 August 3. Learn More Join forces VentureBeat upcoming AI data events Sponsor VB Events DataDecisionMakers 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/2022/06/21/artificial-intelligence-will-help-autodesk-expand-in-the-metaverse/
| 2022-06-21T00:00:00 |
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How artificial intelligence (AI) will help Autodesk expand in the metaverse | VentureBeat
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How artificial intelligence (AI) will help Autodesk expand in the metaverse | VentureBeat
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How artificial intelligence (AI) will help Autodesk expand in the metaverse
Sharon Goldman
June 21, 2022 7:18 AM
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We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!
For the 40-year-old Autodesk — known for its design and creation software (including AutoCAD) used by professionals in industries including architecture, engineering, construction, manufacturing and entertainment — artificial intelligence (AI) has become a must to help boost creativity and collaboration.
“A common theme is helping the designer,” said Tonya Custis, director of artificial intelligence research at Autodesk, whose team includes 15 AI research scientists based in San Francisco, Toronto and London.
But AI will also help Autodesk expand in the metaverse. According to Custis, Autodesk’s use of AI is also helping to tackle challenges around “geometry understanding” — to help contextualize the geometric world around us — which will be “super-important” as the metaverse expands, in terms of speeding up animation and CGI processes, as well as in architecture and engineering.
“It’s about how we can understand the geometry of the world around us – not just of objects, but of space,” she said, adding that Autodesk’s AI efforts will “absolutely” be important as the metaverse evolves. “For example, how is a space organized? What are the things in it? How can we break it down into geometry and, then, what are its functions – because a computer does not know that.”
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AI investments democratize technology
Media coverage acknowledges that Autodesk, along with companies such as Meta, Roblox, Microsoft and Nvidia, may play a role in building the metaverse. That may include the role played by Autodesk’s investments and acquisitions: The San Rafael, California-based company recently announced an investment in Radical, a New York-based developer whose proprietary AI combines modern deep learning strategies, human biomechanics, and computer graphics to estimate, track and reproduce skeletal joint rotations in 3D from a single conventional video feed. From videos to metaverses, this data can be used to automate the animation of 3D characters and avatars — and requires no special hardware, training or custom coding.
The investment in Radical follows Autodesk’s acquisition of Moxion, with its cloud solution for digital dailies, in January and last November’s acquisition of cloud-based animation pipeline software firm Tangent Labs.
“Autodesk has a lot of tools that people use to make things in the professional space of things like animation and movies, but as far as content creation goes, these tools are becoming more ubiquitous,” Custis said. “So Autodesk’s investment in a company like Radical democratizes a lot of that technology.”
Autodesk’s AI to help, not hinder
But Autodesk is most well-known for its work in architecture, engineering and construction, particularly through their AutoCAD software.
“My AI research team, in particular, works on things like floor-plan generation, while there are some projects product teams are working on using machine learning to make command sequences easier, to make it easier to import information from drawing,” she said. “A lot of architects like to use paper to do their designs, and then they have to be translated into CAD – so that’s a real waste of time for them.”
Since many AutoCAD users are experts – often even getting graduate degrees in the use of the software – there’s a fine line between automation that is helpful and taking control away.
“It’s a lot about how we provide algorithms that automate things that make sense that will save them time, but also giving them the agency to make choices, or give them recommendations that they can then choose,” she said. “It’s definitely a collaborative AI environment on the AEC side.”
For manufacturers, Custis said her team works a great deal with Autodesk’s Fusion product, on issues such as deep learning for 3D CAD models. “For example, we teach the computer to learn how to put assemblies together, such as all the parts you need to build a unicycle,” she said. “And then, can we teach specific robots to do that, once we understand what the steps are, what’s required, how the pieces go together?”
AI and generative design
Autodesk is also highly focused on AI-based generative design, in which “designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t.”
While debate around the use of large language models is all the rage at the moment, they offer use cases that are very relevant to Autodesk, especially in media and entertainment, said Custis.
“It’s definitely something we’re looking at closely, and we’re actually also working with OpenAI,” she said. “I think generative models are really exciting in our space – the trajectory in machine learning is usually first we do stuff on text, then we do stuff on pictures, then we do stuff on videos, then we do stuff in 3D – so all of this is happening right now.”
The future of Autodesk in the metaverse
The ultimate goal at Autodesk, she reiterated, is to use AI to help users have more time to be more creative.
“We don’t want to replace them, we don’t want to take their job from them,” she said. “But we do want to give them more flexibility and agency about how they use their time and support that creativity.”
As for Autodesk’s impact on the metaverse, Custis said the future remains to be seen.
“There’s a place there and a lot of the work my team is working on in AI research is pretty applicable,” she said. “But I can’t speculate how those particular things will play out.”
Author
Sharon Goldman
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Applied AI
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How artificial intelligence (AI) will help Autodesk expand in the metaverse
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How artificial intelligence AI help Autodesk expand metaverse VentureBeat Skip main content VentureBeat Home Events GamesBeat Data Pipeline Transform 2022 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 Data Pipeline 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 How artificial intelligence AI help Autodesk expand metaverse Sharon Goldman June 21, 2022 7:18 AM Share Facebook Share Twitter Share LinkedIn We excited bring Transform 2022 inperson July 19 virtually July 20 28. Join AI data leaders insightful talks exciting networking opportunities. today For 40yearold Autodesk known design creation software including AutoCAD professionals industries including architecture, engineering, construction, manufacturing entertainment artificial intelligence AI help boost creativity collaboration. A common theme helping designer, said Tonya Custis, director artificial intelligence research Autodesk, team includes 15 AI research scientists based San Francisco, Toronto London. But AI help Autodesk expand metaverse. According Custis, Autodesks use AI helping tackle challenges geometry understanding help contextualize geometric world superimportant metaverse expands, terms speeding animation CGI processes, architecture engineering. Its understand geometry world objects, space, said, adding Autodesks AI efforts absolutely important metaverse evolves.For example, space organized? What things it? How break geometry and, then, functions know that. Event MetaBeat 2022 MetaBeat bring metaverse thought leaders guidance metaverse technology transform way industries communicate business October 34 San Francisco, CA. Here AI investments democratize technology Media coverage acknowledges Autodesk, companies Meta, Roblox, Microsoft Nvidia, play role building metaverse. That include role played Autodesks investments acquisitions: The San Rafael, Californiabased company recently announced investment Radical, New Yorkbased developer proprietary AI combines modern deep learning strategies, human biomechanics, graphics estimate, track reproduce skeletal joint rotations 3D single conventional video feed. From videos metaverses, data automate animation 3D characters avatars requires special hardware, training custom coding. The investment Radical follows Autodesks acquisition Moxion, cloud solution digital dailies, January Novembers acquisition cloudbased animation pipeline software firm Tangent Labs. Autodesk lot tools people use things professional space things like animation movies, far content creation goes, tools ubiquitous, Custis said. So Autodesks investment company like Radical democratizes lot technology. Autodesks AI help, hinder But Autodesk wellknown work architecture, engineering construction, particularly AutoCAD software. My AI research team, particular, works things like floorplan generation, projects product teams working machine learning command sequences easier, easier import information drawing, said. A lot architects like use paper designs, translated CAD thats real waste time them. Since AutoCAD users experts getting graduate degrees use software theres fine line automation helpful taking control away. Its lot provide algorithms automate things sense save time, giving agency choices, recommendations choose, said. Its definitely collaborative AI environment AEC side. For manufacturers, Custis said team works great deal Autodesks Fusion product, issues deep learning 3D CAD models. For example, teach learn assemblies together, parts need build unicycle, said. And then, teach specific robots that, understand steps are, whats required, pieces together? AI generative design Autodesk highly focused AIbased generative design, designers engineers input design goals generative design software, parameters performance spatial requirements, materials, manufacturing methods cost constraints. The software explores possible permutations solution, quickly generating design alternatives. It tests learns iteration works doesnt. While debate use large language models rage moment, offer use cases relevant Autodesk, especially media entertainment, said Custis. Its definitely looking closely, actually working OpenAI, said. I think generative models exciting space trajectory machine learning usually stuff text, stuff pictures, stuff videos, stuff 3D happening right now. The future Autodesk metaverse The ultimate goal Autodesk, reiterated, use AI help users time creative. We dont want replace them, dont want job them, said. But want flexibility agency use time support creativity. As Autodesks impact metaverse, Custis said future remains seen. Theres place lot work team working AI research pretty applicable, said. But I speculate particular things play out. Author Sharon Goldman Topics Applied AI Metaverse MetaBeat 2022 Join metaverse thought leaders San Francisco October 34 learn metaverse technology transform way industries communicate business. Here Transform 2022 Join AI data leaders insightful talks exciting networking opportunities inperson July 19 virtually July 2028. 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/gartner-research-2-types-of-emerging-ai-near-hype-cycle-peak/
| 2022-08-10T00:00:00 |
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Gartner research: 2 types of emerging AI near hype cycle peak | VentureBeat
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Gartner research: 2 types of emerging AI near hype cycle peak | VentureBeat
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Gartner research: 2 types of emerging AI near hype cycle peak
Sharon Goldman
August 5, 2022 9:05 AM
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Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.
According to new Gartner research, two types of emerging artificial intelligence (AI) — emotion and generative AI — are both reaching the peak of the digital advertising hype cycle. This is thanks to AI’s expansion into targeting, measurement, identity resolution and even generating creative content.
“I think one of the key pieces is that the options for marketers have been accelerating,” Mike Froggatt, senior director analyst in the Gartner marketing practice, told VentureBeat. “When you think about the fragmentation of digital media, ten years ago, there was display, search, video, rich media, but now, there’s podcasts, over-the-top platforms, blockchain and NFTs. AI is helping marketers target, measure and identify consumers, even generating the content that can appear in those channels, creating all new artifacts to give marketers a voice in those channels.”
Traditional methods for targeting customers are depreciating, noted the Gartner report, Hype Cycle for Digital Advertising 2022, evolving from an assumed quid pro quo to an explicit consent-driven media and advertising economy.
While Google continues to delay the date it will stop supporting third-party cookies — which digital advertisers have historically relied on for ad tracking — digital marketers will need to learn to adapt as customer data becomes more scarce and targeting difficulty increases.
Emotion AI: Opportunities and privacy challenges
According to an analysis by Gartner analyst Andrew Frank, emotion AI technologies “use AI techniques to analyze the emotional state of a user…[and] can initiate responses by performing specific, personalized actions to fit the mood of the customer.”
Frank says it is part of a larger trend called “influence AI” that “seeks to automate elements of digital experience that guide user choices at scale by learning and applying techniques of behavioral science.”
With public criticism around the use, or even potential use, of emotion AI tools, privacy and trust will be essential to emotion AI’s success, said Froggatt.
“It’s going to have to be transparent in how it’s being used and we’re going to have to move away from bundling it in types of tracking within apps that collect things implicity,” he explained.
But emotion AI will create interesting opportunities for brands if tied to trust and explicit consent, he added. According to the Gartner report, access to emotion data “delivers insights into motivational drivers that help test and refine content, tailor digital experiences and build deeper connections between people and brands.”
The Gartner report cautioned that emotion AI would likely take another decade to become firmly established. For now, organizations should review vendor capabilities carefully, since the emotion AI market is immature and companies may only support limited use cases and industries.
Generative AI: Soon to reach mainstream adoption
The Gartner report also found that generative AI covers a broad swath of tools that “learn from existing artifacts to generate new, realistic artifacts such as video, narrative, speech, synthetic data and product designs that reflect the characteristics of the training data without repetition.”
Within the next two to five years, the report predicts, these solutions will reach mainstream adoption.
Elements of the metaverse, including digital humans, will rely on generative AI. Transformer models, like Open AI’s DALL-E 2, can create original images from a text description. Synthetic data is also an example of generative AI, helping to augment scarce data or mitigate bias.
For marketing professionals, generative AI tackles many issues they face today, including the need for more content, more assets and to engage customers in smart and personalized ways.
“Imagine a brand taking a generative AI tool and feeding their existing creative and copy assets into it and coming up with whole new versions of ad, video and email content,” said Froggart. “It automates a lot of that and allows marketers to focus on the strategy around it.”
In addition, generative data assets can remove the individual identity necessary for targeting.
“I think that it can be super-powerful for advertisers and media,” he added.
Still, steep challenges around possible regulations and issues such as deepfakes remain. The Gartner report recommends examining and quantifying the advantages and limitations of generative AI, as well as weighing technical capabilities with ethical factors.
Gartner research: Future of AI in marketing
For now, marketing pros still have the old tools – like third-party cookies – available to them. But with trends like media fragmentation and deprecation of customer data sources not slowing down, they will need the right tools to adapt to new forms of measurement and targeting.
“I think that’s where AI is really going to start showing its value,” said Froggart, adding that while he doesn’t think solutions like generative and emotion AI will avoid the Gartner Hype Cycle’s “trough of disillusionment” after reaching the peak, “I think they will be finding their own route through the hype cycle.”
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Gartner research: 2 types emerging AI near hype cycle peak VentureBeat Skip main content VentureBeat Home Events GamesBeat Data Pipeline The MetaBeat Event 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 Briefings Got news tip? Advertise Press Releases Guest Posts Contribute DataDecisionMakers Deals Data Pipeline 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 Briefings Events Profile Gartner research: 2 types emerging AI near hype cycle peak Sharon Goldman August 5, 2022 9:05 AM Share Facebook Share Twitter Share LinkedIn Were unable attend Transform 2022? Check summit sessions ondemand library Watch here. According new Gartner research, types emerging artificial intelligence AI emotion generative AI reaching peak digital advertising hype cycle. This thanks AIs expansion targeting, measurement, identity resolution generating creative content. I think key pieces options marketers accelerating, Mike Froggatt, senior director analyst Gartner marketing practice, told VentureBeat. When think fragmentation digital media, years ago, display, search, video, rich media, now, theres podcasts, overthetop platforms, blockchain NFTs. AI helping marketers target, measure identify consumers, generating content appear channels, creating new artifacts marketers voice channels. Traditional methods targeting customers depreciating, noted Gartner report, Hype Cycle Digital Advertising 2022, evolving assumed quid pro quo explicit consentdriven media advertising economy. While Google continues delay date stop supporting thirdparty cookies digital advertisers historically relied ad tracking digital marketers need learn adapt customer data scarce targeting difficulty increases. Emotion AI: Opportunities privacy challenges According analysis Gartner analyst Andrew Frank, emotion AI technologies use AI techniques analyze emotional state user[and] initiate responses performing specific, personalized actions fit mood customer. Frank says larger trend called influence AI seeks automate elements digital experience guide user choices scale learning applying techniques behavioral science. With public criticism use, potential use, emotion AI tools, privacy trust essential emotion AIs success, said Froggatt. Its going transparent going away bundling types tracking apps collect things implicity, explained. But emotion AI create interesting opportunities brands tied trust explicit consent, added. According Gartner report, access emotion data delivers insights motivational drivers help test refine content, tailor digital experiences build deeper connections people brands. The Gartner report cautioned emotion AI likely decade firmly established. For now, organizations review vendor capabilities carefully, emotion AI market immature companies support limited use cases industries. Generative AI: Soon reach mainstream adoption The Gartner report generative AI covers broad swath tools learn existing artifacts generate new, realistic artifacts video, narrative, speech, synthetic data product designs reflect characteristics training data repetition. Within years, report predicts, solutions reach mainstream adoption. Elements metaverse, including digital humans, rely generative AI. Transformer models, like Open AIs DALLE 2, create original images text description. Synthetic data example generative AI, helping augment scarce data mitigate bias. For marketing professionals, generative AI tackles issues face today, including need content, assets engage customers smart personalized ways. Imagine brand taking generative AI tool feeding existing creative copy assets coming new versions ad, video email content, said Froggart. It automates lot allows marketers focus strategy it. In addition, generative data assets remove individual identity necessary targeting. I think superpowerful advertisers media, added. Still, steep challenges possible regulations issues deepfakes remain. The Gartner report recommends examining quantifying advantages limitations generative AI, weighing technical capabilities ethical factors. Gartner research: Future AI marketing For now, marketing pros old tools like thirdparty cookies available them. But trends like media fragmentation deprecation customer data sources slowing down, need right tools adapt new forms measurement targeting. I think thats AI going start showing value, said Froggart, adding doesnt think solutions like generative emotion AI avoid Gartner Hype Cycles trough disillusionment reaching peak, I think finding route hype cycle. VentureBeats mission digital town square technical decisionmakers gain knowledge transformative enterprise technology transact. Learn membership. Transform 2022 OnDemand Did miss session Transform 2022? Head ondemand library featured sessions. Watch Now Transform 2022 OnDemand Did miss session Transform 2022? Head ondemand library featured sessions. Watch Now Join forces VentureBeat upcoming AI data events Sponsor VB Events VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Briefings 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/google-and-microsoft-prepare-dueling-generative-ai-debuts/
| 2023-02-07T00:00:00 |
en
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Google and Microsoft prepare dueling generative AI debuts | VentureBeat
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Google and Microsoft prepare dueling generative AI debuts | VentureBeat
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Google and Microsoft prepare dueling generative AI debuts
Sharon Goldman@sharongoldman
February 6, 2023 2:10 PM
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Google and Microsoft, in separate surprise announcements, confirmed they plan to offer dueling generative AI debuts over the next two days.
Today, Google unveiled a new ChatGPT-like chatbot named Bard, as it races to catch up in the wake of ChatGPT’s massive viral success (growing faster than TikTok, apparently). In a blog post, CEO Sundar Pichai that Bard is now open to “trusted testers,” with plans to make it available to the public “in the coming weeks.”
In addition, the company announced a streaming event called Live from Paris focused on “Search, Maps and beyond,” to be livestreamed on YouTube at 8:30 am ET on February 8th. According to the description: “We’re reimagining how people search for, explore and interact with information, making it more natural and intuitive than ever before to find what you need.”
>>Follow VentureBeat’s ongoing ChatGPT coverage<<
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Microsoft to hold in-person Redmond event tomorrow
Meanwhile, just minutes after Google’s announcement, Microsoft shared an announcement that it will be holding an in-person event at its Redmond headquarters tomorrow at 1 pm ET.
Microsoft is expected to unveil its long-awaited integration of generative AI from OpenAI into its search engine Bing — which supposedly will be powered by the brand-new GPT-4.
Those who spied screenshots of the new integration noted the presence of a chat box rather than a search bar.
Let the generative AI games begin!
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Google and Microsoft prepare dueling generative AI debuts
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Google Microsoft prepare dueling generative AI debuts VentureBeat Skip main content Events Special Issues 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 Special Issues Google Microsoft prepare dueling generative AI debuts Sharon Goldman February 6, 2023 2:10 PM Share Facebook Share Twitter Share LinkedIn Check ondemand sessions Intelligent Security Summit here. Google Microsoft, separate surprise announcements, confirmed plan offer dueling generative AI debuts days. Today, Google unveiled new ChatGPTlike chatbot named Bard, races catch wake ChatGPTs massive viral success growing faster TikTok, apparently. In blog post, CEO Sundar Pichai Bard open trusted testers, plans available public coming weeks. In addition, company announced streaming event calledLive Parisfocused , Maps beyond, livestreamed YouTube 8:30 ET February 8th. According description: Were reimagining people search for, explore interact information, making natural intuitive need. >>Follow VentureBeats ongoing ChatGPT coverage<< Event Intelligent Security Summit OnDemand Learn critical role AI ML cybersecurity industry specific case studies. Watch ondemand sessions today. Watch Here Microsoft hold inperson Redmond event tomorrow Meanwhile, minutes Googles announcement, Microsoft shared announcement holding inperson event Redmond headquarters tomorrow 1 pm ET. Microsoft expected unveil longawaited integration generative AI OpenAI search engine Bing supposedly powered brandnew GPT4. Those spied screenshots new integration noted presence chat box search bar. Let generative AI games begin VentureBeats mission digital town square technical decisionmakers gain knowledge transformative enterprise technology transact. Discover Briefings. Intelligent Security Summit OnDemand Did miss session Intelligent Security Summit? Head ondemand library hear insights experts learn importance cybersecurity organization. Watch Here VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS Press Releases Us Advertise Share News Tip Contribute DataDecisionMakers Careers Do Not Sell My Personal Information 2023 VentureBeat. . Want mustread news straight inbox? Sign VentureBeat Briefings View Briefings No thanks
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https://venturebeat.com/ai/how-customizing-models-is-bringing-generative-ai-to-the-enterprise/
| 2023-03-01T00:00:00 |
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How customizing models is bringing generative AI to the enterprise | VentureBeat
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How customizing models is bringing generative AI to the enterprise | VentureBeat
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How customizing models is bringing generative AI to the enterprise
Sean Michael Kerner@TechJournalist
February 28, 2023 3:43 PM
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Image Credit: SambaNova
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There is a lot of hype and activity around generative AI models, especially in the short time since ChatGPT first launched.
ChatGPT — and the GPT-3 large language model (LLM) it is based on — have been trained on public data, which serves as a great foundation for consumer applications, but lacks the customization, privacy and security that an enterprise requires. That’s where Rodrigo Liang, cofounder and CEO of SambaNova Systems, is looking to make a difference with the launch today of his company’s SambaNova Suite, which aims to help enterprises build and deploy customized generative AI models.
>>Follow VentureBeat’s ongoing generative AI coverage<<
SambaNova got its start in 2017 focused largely on hardware for AI, raising a staggering $676 million in April 2021 to support its efforts. In recent years, the company has expanded beyond its initial focus on hardware to also build out support for both machine learning–training and inference on different models, with its dataflow-as-a-service offering. The new SambaNova Suite expands on the dataflow service with a collection of capabilities that enables organizations to customize both open-source and proprietary generative AI models to meet their specific requirements.
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“The focus of SambaNova is how to bring generative AI capabilities more to the enterprise,” Liang told VentureBeat. “There are certain things that you need for enterprises in order to be able to be successful, and we’re doing that today for them.”
Nvidia isn’t the only AI hardware vendor for generative AI
There is a growing list of vendors building on top of generative AI models to help enable enterprise use cases.
Content creation is a particularly vibrant field of enterprise generative AI customization. Jasper AI, for example, recently announced its Jasper for Business offering designed to help customize AI for a specific business. Typeface emerged from stealth on Monday with its enterprise content creation platform for generative AI, alongside $65 million in funding. Quantive last week announced its foray into generative AI, helping organizations with their business strategy.
SambaNova’s key differentiator from others in the generative AI space is that it has its own hardware to help optimize enterprise use cases. Rather than just relying on Nvidia GPUs like many in the industry, SambaNova has developed its own custom silicon that is optimized for both machine learning–training and inference.
“What we’ve done is … take the AI software stack that people really want to use with PyTorch, TensorFlow and complex models like GPT, and we bring them down all the way to the silicon,” Liang said. “We have silicon that’s actually been custom built for running these large models for the enterprise, versus the other way around.”
The team behind SambaNova, including Liang, has a background in building microprocessors for Sun Microsystems and Oracle. Liang said that SambaNova has created a microprocessor for AI that is extremely power efficient and performative in order to run these enterprise generative AI applications.
Liang emphasized that the custom silicon also enables a continuous training and inference capability, such that the data that feeds the generative AI models can be kept up to date.
“In business, you need real-time information and so you do not want your models to actually lag behind,” he said.
Privacy, responsible AI and the enterprise
With the new SambaNova Suite, Liang said that his company is looking to solve the primary challenges that enterprises have with generative AI. Among those challenges are customization for a company’s specific data, as well the ability to limit bias and provide responsible and explainable AI.
With its platform, SambaNova enables an organization to run customized training in a private environment on any data the organization has, including unstructured data that might be found in a company’s Slack discussion channels. Going a step further, Liang said the platform provides transparency to organizations for how a given AI model actually works.
“SambaNova has been built around being able to give you exposure of exactly how the model arrived at a certain conclusion,” Liang said. “We store all the processes around how we train and fine-tune the model, so that when an auditor comes or somebody wants to check for bias or why something happened a certain way, you can actually work through the flow and verify that your results were done properly.”
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|
How customizing models is bringing generative AI to the enterprise
|
How customizing models bringing generative AI enterprise VentureBeat Skip main content Events Special Issues 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 Special Issues How customizing models bringing generative AI enterprise Sean Michael Kerner February 28, 2023 3:43 PM Share Facebook Share Twitter Share LinkedIn Image Credit: SambaNova Check ondemand sessions Intelligent Security Summit here. There lot hype activity generative AI models, especially short time ChatGPT launched. ChatGPT GPT3 large language model LLM based trained public data, serves great foundation consumer applications, lacks customization, privacy security enterprise requires. Thats Rodrigo Liang, cofounder CEO SambaNova Systems, looking difference launch today companys SambaNova Suite, aims help enterprises build deploy customized generative AI models. >>Follow VentureBeats ongoing generative AI coverage<< SambaNova got start 2017 focused largely hardware AI, raising staggering 676 million April 2021 support efforts. In recent years, company expanded initial focus hardware build support machine learningtraining inference different models, dataflowasaservice offering. The new SambaNova Suite expands dataflow service collection capabilities enables organizations customize opensource proprietary generative AI models meet specific requirements. Event Intelligent Security Summit OnDemand Learn critical role AI ML cybersecurity industry specific case studies. Watch ondemand sessions today. Watch Here The focus SambaNova bring generative AI capabilities enterprise, Liang told VentureBeat. There certain things need enterprises order able successful, today them. Nvidia isnt AI hardware vendor generative AI There growing list vendors building generative AI models help enable enterprise use cases. Content creation particularly vibrant field enterprise generative AI customization. Jasper AI, example, recently announced Jasper Business offering designed help customize AI specific business. Typeface emerged stealth Monday enterprise content creation platform generative AI, alongside 65 million funding. Quantive week announced foray generative AI, helping organizations business strategy. SambaNovas key differentiator generative AI space hardware help optimize enterprise use cases. Rather relying Nvidia GPUs like industry, SambaNova developed custom silicon optimized machine learningtraining inference. What weve AI software stack people want use PyTorch, TensorFlow complex models like GPT, bring way silicon, Liang said. We silicon thats actually custom built running large models enterprise, versus way around. The team SambaNova, including Liang, background building microprocessors Sun Microsystems Oracle. Liang said SambaNova created microprocessor AI extremely power efficient performative order run enterprise generative AI applications. Liang emphasized custom silicon enables continuous training inference capability, data feeds generative AI models kept date. In business, need realtime information want models actually lag behind, said. Privacy, responsible AI enterprise With new SambaNova Suite, Liang said company looking solve primary challenges enterprises generative AI. Among challenges customization companys specific data, ability limit bias provide responsible explainable AI. With platform, SambaNova enables organization run customized training private environment data organization has, including unstructured data companys Slack discussion channels. Going step further, Liang said platform provides transparency organizations given AI model actually works. SambaNova built able exposure exactly model arrived certain conclusion, Liang said. We store processes train finetune model, auditor comes somebody wants check bias happened certain way, actually work flow verify results properly. VentureBeats mission digital town square technical decisionmakers gain knowledge transformative enterprise technology transact. Discover Briefings. Intelligent Security Summit OnDemand Did miss session Intelligent Security Summit? Head ondemand library hear insights experts learn importance cybersecurity organization. Watch Here VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS Press Releases Us Advertise Share News Tip Contribute DataDecisionMakers Careers Do Not Sell My Personal Information 2023 VentureBeat. . Want mustread news straight inbox? Sign VentureBeat Briefings View Briefings No thanks
| 2,023 |
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https://venturebeat.com/ai/otter-ai-chat-brings-new-collaboration-and-insight-to-real-time-voice-transcription/
| 2023-06-21T00:00:00 |
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Otter AI Chat brings new collaboration and insight to real-time voice transcription | VentureBeat
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Otter AI Chat brings new collaboration and insight to real-time voice transcription | VentureBeat
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Otter AI Chat brings new collaboration and insight to real-time voice transcription
Sean Michael Kerner@TechJournalist
June 21, 2023 6:00 AM
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Image credit: Otter AI
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Ever wanted to ask questions about a meeting while it’s still in progress? Otter AI Chat, a new capability from AI-powered voice transcription provider Otter, has now got you covered.
The new Otter AI chat functionality being announced today by the San Francisco startup gives users the power of generative AI as an integrated component of voice transcription. Otter has been busy expanding its voice transcription service in recent years, adding integration with popular conferencing technologies including Zoom and support for Microsoft Outlook. In February of this year the company expanded its OtterPilot AI functionality, bringing new automations to its voice transcription service. The company claims that its AI-powered service transcribes over one million spoken words every minute.
>>Follow VentureBeat’s ongoing generative AI coverage<<
Now Otter is taking its AI a step further than just transcribing and providing a post-meeting summary. With the new Otter Chat capability, an integrated AI chatbot inside the user console enables users to ask questions about a meeting in progress.
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A user could, for example, find out if a certain topic has already been discussed. Users can even ask about the sentiment of the meeting or of a specific speaker, and ask the AI to generate content based on the meeting, such as follow-ups and action items.
It’s an approach in many respects inspired by the success of OpenAI’s ChatGPT.
“ChatGPT is such a sensation — it shows that AI can understand human questions and can generate interesting answers,” Sam Liang, founder and CEO of Otter, told VentureBeat. “However, ChatGPT is mostly based on public knowledge; for corporate workers, their meetings are internal and … happening in real time.”
Otter has built its own type of LLM for Otter AI Chat
While Otter AI Chat is inspired by ChatGPT, it is not using the OpenAI technology. Rather Liang emphasized that his team has developed its own purpose-built AI technology to enable the new service.
Liang explained that OpenAI’s ChatGPT is based on a large language model (LLM) trained on public data that consists mostly of written content. ChatGPT provides a conversational interface between the human being and the AI.
Otter AI Chat is taking a somewhat different approach.
“We’re building the largest spoken large language model based on mostly verbal data,” Liang said. “The [spoken] verbal data has a lot of differences compared to written documents.”
With spoken verbal data, there is more interaction and speakers are often less formal and more casual. There is also the ability to better understand and derive sentiment from the tone of a speaker. Otter has been able to train on over a billion meetings the company has transcribed, while keeping all user information confidential.
Otter building a collaborative chat for AI
Liang said that rather than being just a human-to-bot interface, the Otter AI Chat interface enables what he referred to as “collaborative chat,” where all the people in a meeting can collaborate both with each other and the AI chatbot in real time.
“AI effectively joins human conversations,” Liang said.
Image credit: Otter AI
As the model was trained on the way humans actually speak, Liang said that Otter AI Chat will also be able to better respond with human-style speech, which will help to make the information more useful and engaging.
The Otter AI Chat capability is part of the company’s overall aim to use AI to make meetings more useful and effective for participants. With the initial launch, Liang said that the new generative AI chatbot is being made available as a text interface that can be accessed inside of a multi-speaker meeting. The plan for the future is to make the AI chat available via a voice interface as well.
“We’ll make it available through voice as well so that effectively Otter can join your speaking session and you can ask Otter any question with voice and Otter can answer questions with voice as well,” he said.
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Otter AI Chat brings new collaboration insight realtime voice transcription 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 Otter AI Chat brings new collaboration insight realtime voice transcription Sean Michael Kerner June 21, 2023 6:00 AM Share Facebook Share Twitter Share LinkedIn Image credit: Otter AI Join executives San Francisco July 1112, hear leaders integrating optimizing AI investments success. Learn More Ever wanted ask questions meeting progress? Otter AI Chat, new capability AIpowered voice transcription provider Otter, got covered. The new Otter AI chat functionality announced today San Francisco startup gives users power generative AI integrated component voice transcription. Otter busy expanding voice transcription service recent years, adding integration popular conferencing technologies including Zoom support Microsoft Outlook. In February year company expanded OtterPilot AI functionality, bringing new automations voice transcription service. The company claims AIpowered service transcribes million spoken words minute. >>Follow VentureBeats ongoing generative AI coverage<< Now Otter taking AI step transcribing providing postmeeting summary. With new Otter Chat capability, integrated AI chatbot inside user console enables users ask questions meeting progress. Event Transform 2023 Join San Francisco July 1112, executives share integrated optimized AI investments success avoided common pitfalls. Now A user could, example, certain topic discussed. Users ask sentiment meeting specific speaker, ask AI generate content based meeting, followups action items. Its approach respects inspired success OpenAIs ChatGPT. ChatGPT sensation shows AI understand human questions generate interesting answers, Sam Liang, founder CEO Otter, told VentureBeat. However, ChatGPT based public knowledge; corporate workers, meetings internal happening real time. Otter built type LLM Otter AI Chat While Otter AI Chat inspired ChatGPT, OpenAI technology. Rather Liang emphasized team developed purposebuilt AI technology enable new service. Liang explained OpenAIs ChatGPT based large language model LLM trained public data consists written content. ChatGPT provides conversational interface human AI. Otter AI Chat taking somewhat different approach. Were building largest spoken large language model based verbal data, Liang said. The [spoken] verbal data lot differences compared written documents. With spoken verbal data, interaction speakers formal casual. There ability better understand derive sentiment tone speaker. Otter able train billion meetings company transcribed, keeping user information confidential. Otter building collaborative chat AI Liang said humantobot interface, Otter AI Chat interface enables referred collaborative chat, people meeting collaborate AI chatbot real time. AI effectively joins human conversations, Liang said. Image credit: Otter AI As model trained way humans actually speak, Liang said Otter AI Chat able better respond humanstyle speech, help information useful engaging. The Otter AI Chat capability companys overall aim use AI meetings useful effective participants. With initial launch, Liang said new generative AI chatbot available text interface accessed inside multispeaker meeting. The plan future AI chat available voice interface well. Well available voice effectively Otter join speaking session ask Otter question voice Otter answer questions voice well, said. >>Dont miss special issue: Building foundation customer data quality.<< VentureBeats mission digital town square technical decisionmakers gain knowledge transformative enterprise technology transact. Discover Briefings. Join enterprise leaders San Francisco Learn leverage power Generative AI Learn More VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS Press Releases Us Advertise Share News Tip Contribute DataDecisionMakers Careers Do Not Sell My Personal Information 2023 VentureBeat. . Network learn San Francisco, July 1112 Gen AI Future Enterprise Learn More No thanks
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https://venturebeat.com/ai/pinecone-leads-explosion-in-vector-databases-for-generative-ai/
| 2023-07-14T00:00:00 |
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Pinecone leads 'explosion' in vector databases for generative AI | VentureBeat
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Pinecone leads 'explosion' in vector databases for generative AI | VentureBeat
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Pinecone leads ‘explosion’ in vector databases for generative AI
Matt Marshall@mmarshall
July 14, 2023 9:12 AM
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Bob Wiederhold, Pinecone COO, right, speaks with investor Tim Tully, at VB Transform on WednesdayImage Credit: Michael O'Donnell
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Vector databases, a relatively new type of database that can store and query unstructured data such as images, text and video, are gaining popularity among developers and enterprises who want to build generative AI applications such as chatbots, recommendation systems and content creation.
One of the leading providers of vector database technology is Pinecone, a startup founded in 2019 that has raised $138 million and is valued at $750 million. The company said Thursday it has “way more than 100,000 free users and more than 4,000 paying customers,” reflecting an explosion of adoption by developers from small companies as well as enterprises that Pinecone said are experimenting like crazy with new applications.
By contrast, the company said that in December it had fewer than in the low thousands of free users, and fewer than 300 paying customers.
Pinecone held a user conference on Thursday in San Francisco, where it showcased some of its success stories and announced a partnership with Microsoft Azure to speed up generative AI applications for Azure customers.
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Bob Widerhold, the president and COO of Pinecone, said in his keynote talk at VB Transform that generative AI is a new platform that has eclipsed the internet platform and that vector databases are a key part of the solution to enable it. He said the generative AI platform is going to be even bigger than the internet, and “is going to have the same and probably even bigger impacts on the world.”
Vector databases: a distinct type of database for the generative AI era
Widerhold explained that vector databases allow developers to access domain-specific information that is not available on the internet or in traditional databases, and to update it in real time. This way, they can provide better context and accuracy for generative AI models such as ChatGPT or GPT-4, which are often trained on outdated or incomplete data scraped from the web.
Vector databases allow you to do semantic search, which is a way to convert any kind of data into vectors that allow you to do “nearest neighbor” search. You can use this information to enrich the context window of the prompts. This way, “you will have far fewer hallucinations, and you will allow these fantastic chatbot technologies to answer your questions correctly, more often,” Wiederholt said.
Wiederhold’s remarks came after he spoke Wednesday at VB Transform, where he explained to enterprise executives how generative AI is changing the nature of the database, and why at least 30 vector database competitors have popped up to serve the market. See his interview below.
Bob Wiederhold, COO of Pinecone, right, speaks with investor Tim Tully of Menlo Ventures at VB Transform on Wednesday
Widerhold said that large language models (LLMs) and vector databases are the two key technologies for generative AI.
Whenever new data types and access patterns appear, assuming the market is large enough, a new subset of the database market forms, he said. That happened with relational databases and no-SQL databases, and that’s happening with vector databases, he said. Vectors are a very different way to represent data, and nearest neighbor search is a very different way to access data, he said.
He explained that vector databases have a more efficient way of partitioning data based on this new paradigm, and so are filling a void that other databases, such as relational and no-SQL databases, are unable to fill.
He added that Pinecone has built its technology from scratch, without compromising on performance, scalability or cost. He said that only by building from scratch can you have the lowest latency, the highest ingestion speeds and the lowest cost of implementing use cases.
He also said that the winner database providers are going to be the ones that have built the best managed services for the cloud, and that Pinecone has delivered there as well.
However, Wiederhold also acknowledged Thursday that the generative AI market is going through a hype cycle and that it will soon hit a “trough of reality” as developers move on from prototyping applications that have no ability to go into production. He said this is a good thing for the industry as it will separate the real production-ready, impactful applications from the “fluff” of prototyped applications that currently make up the majority of experimentation.
Signs of cooling off for generative AI, and the outlook for vector databases
Signs of the tapering off, he said, include a decline in June in the reported number of users of ChatGPT, but also Pinecone’s own user adoption trends, which have shown a halting of an “incredible” pickup from December through April. “In May and June, it settled back down to something more reasonable,” he said.
Wiederhold responded to questions at VB Transform about the market size for vector databases. He said it’s a very big or even enormous market, but that it’s still unclear whether it will be a $10 billion market or a $100 billion market. He said that question will get sorted out as best practices get worked out over the next two or three years.
He said that there is a lot of experimentation going on with different ways to use generative AI technologies, and that one big question has arisen from a trend toward larger context windows for LLM prompts. If developers could stick more of their data, perhaps even their entire database, directly in a context window, then a vector database wouldn’t be needed to search data.
But he said that is unlikely to happen. He drew an analogy with humans who, when swamped with information, can’t come up with better answers. Information is most useful when it’s manageably small so that it can be internalized, he said. “And I think the same kind of thing is true [with] the context window in terms of putting huge amounts of information into it.” He cited a Stanford University study that came out this week that looked at existing chatbot technology and found that smaller amounts of information in the context window produced better results. (VentureBeat has asked for more information on the study, and will update once we hear back from Pinecone).
Also, he said some large enterprises are experimenting with training their own foundation models, and others are fine-tuning existing foundation models, and both of these approaches can bypass the need for calling on vector databases. But both approaches require a lot of expertise, and are expensive. “There’s a limited number of companies that are going to be able to take that on.”
Separately, at Transform on Wednesday, this question about building models or simply piggybacking on top of GPT-4 with vector databases was a key question for executives across the two days of sessions. Naveen Rao, CEO of MosaicML, which helps companies build their own large language models, acknowledged that there are a limited number of companies that have the scale to pay $200,000 for model building but also have the data expertise, preparation and other infrastructure necessary to leverage those models. He said his company has 50 customers, but that it has had to be selective to reach that number. That number will grow over the next two or three years, though, as those companies clean up and organize their data, he said. That promise, in part, is why Databricks announced last week that it will acquire MosaicML for $1.3 billion.
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Pinecone leads 'explosion' in vector databases for generative AI
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Pinecone leads explosion vector databases generative AI 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 Feature Pinecone leads explosion vector databases generative AI Matt Marshall July 14, 2023 9:12 AM Share Facebook Share Twitter Share LinkedIn Bob Wiederhold, Pinecone COO, right, speaks investor Tim Tully, VB Transform WednesdayImage Credit: Michael ODonnell Head ondemand library view sessions VB Transform 2023. Here Vector databases, relatively new type database store query unstructured data images, text video, gaining popularity developers enterprises want build generative AI applications chatbots, recommendation systems content creation. One leading providers vector database technology Pinecone, startup founded 2019 raised 138 million valued 750 million. The company said Thursday way 100,000 free users 4,000 paying customers, reflecting explosion adoption developers small companies enterprises Pinecone said experimenting like crazy new applications. By contrast, company said December fewer low thousands free users, fewer 300 paying customers. Pinecone held user conference Thursday San Francisco, showcased success stories announced partnership Microsoft Azure speed generative AI applications Azure customers. Event VB Transform 2023 OnDemand Did miss session VB Transform 2023? access ondemand library featured sessions. Now >>Follow VentureBeat Transform 2023 coverage<< Bob Widerhold, president COO Pinecone, said keynote talk VB Transform generative AI new platform eclipsed internet platform vector databases key solution enable it. He said generative AI platform going bigger internet, going probably bigger impacts world. Vector databases: distinct type database generative AI era Widerhold explained vector databases allow developers access domainspecific information available internet traditional databases, update real time. This way, provide better context accuracy generative AI models ChatGPT GPT4, trained outdated incomplete data scraped web. Vector databases allow semantic search, way convert kind data vectors allow nearest neighbor search. You use information enrich context window prompts. This way, far fewer hallucinations, allow fantastic chatbot technologies answer questions correctly, often, Wiederholt said. Wiederholds remarks came spoke Wednesday VB Transform, explained enterprise executives generative AI changing nature database, 30 vector database competitors popped serve market. See interview below. Bob Wiederhold, COO Pinecone, right, speaks investor Tim Tully Menlo Ventures VB Transform Wednesday Widerhold said large language models LLMs vector databases key technologies generative AI. Whenever new data types access patterns appear, assuming market large enough, new subset database market forms, said. That happened relational databases noSQL databases, thats happening vector databases, said. Vectors different way represent data, nearest neighbor search different way access data, said. He explained vector databases efficient way partitioning data based new paradigm, filling void databases, relational noSQL databases, unable fill. He added Pinecone built technology scratch, compromising performance, scalability cost. He said building scratch lowest latency, highest ingestion speeds lowest cost implementing use cases. He said winner database providers going ones built best managed services cloud, Pinecone delivered well. However, Wiederhold acknowledged Thursday generative AI market going hype cycle soon hit trough reality developers prototyping applications ability production. He said good thing industry separate real productionready, impactful applications fluff prototyped applications currently majority experimentation. Signs cooling generative AI, outlook vector databases Signs tapering off, said, include decline June reported number users ChatGPT, Pinecones user adoption trends, shown halting incredible pickup December April. In May June, settled reasonable, said. Wiederhold responded questions VB Transform market size vector databases. He said big enormous market, unclear 10 billion market 100 billion market. He said question sorted best practices worked years. He said lot experimentation going different ways use generative AI technologies, big question arisen trend larger context windows LLM prompts. If developers stick data, entire database, directly context window, vector database wouldnt needed search data. But said unlikely happen. He drew analogy humans who, swamped information, come better answers. Information useful manageably small internalized, said. And I think kind thing true [with] context window terms putting huge amounts information it. He cited Stanford University study came week looked existing chatbot technology smaller amounts information context window produced better results.VentureBeat asked information study, update hear Pinecone. Also, said large enterprises experimenting training foundation models, finetuning existing foundation models, approaches bypass need calling vector databases. But approaches require lot expertise, expensive. Theres limited number companies going able on. Separately, Transform Wednesday, question building models simply piggybacking GPT4 vector databases key question executives days sessions. Naveen Rao, CEO MosaicML, helps companies build large language models, acknowledged limited number companies scale pay 200,000 model building data expertise, preparation infrastructure necessary leverage models. He said company 50 customers, selective reach number. That number grow years, though, companies clean organize data, said. That promise, part, Databricks announced week acquire MosaicML 1.3 billion. VentureBeats mission digital town square technical decisionmakers gain knowledge transformative enterprise technology transact. Discover Briefings. VB Transform OnDemand Library Were unable attend live event SF? Check summit sessions ondemand library Watch Now VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS Press Releases Us Advertise Share News Tip Contribute DataDecisionMakers Careers Do Not Sell My Personal Information 2023 VentureBeat. . Want mustread news straight inbox? Sign AI Weekly View Briefings No thanks
| 2,023 |
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] | 1 | 5,161 |
https://venturebeat.com/ai/the-ai-genie-is-out-of-the-bottle-and-we-cant-put-it-back-in/
| 2023-05-27T00:00:00 |
en
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The AI genie is out of the bottle, and we can’t put it back in | VentureBeat
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The AI genie is out of the bottle, and we can’t put it back in | VentureBeat
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Guest
The AI genie is out of the bottle, and we can’t put it back in
Dan Schiappa, Arctic Wolf
May 27, 2023 9:10 AM
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Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More
This month, we saw top government officials meet with leading tech executives, including the Alphabet and Microsoft CEOs, to discuss advancements in AI and Washington’s involvement. But as quickly as the ChatGPT, Bard and other well-known generative AI models are advancing, American businesses have to know that malicious actors representing the world’s most successful hacking groups and aggressive nation-states are building their own generative AI replicas — and they won’t stop for anything.
There’s ample reason for experts to be concerned about the overwhelming speed with which generative AI could transform the technology industry, the medical industry, education, agriculture and nearly any other industry in not only America, but the world. Movies like The Terminator, for example, provide plenty of (fictional) precedent for being scared of the effects of a runaway AI, fueling more realistic concerns like AI-induced mass layoffs.
But it’s exactly because AI has the power to revolutionize society as we know it that America cannot afford a private or government-ordered pause on developing it, and why doing so would cripple our ability to defend individuals and businesses from our enemies. Because AI development happens so quickly, any amount of delay that regulators put on that development would set us back exponentially in comparison with our adversaries who are also developing their own AI.
AI advances quickly, government regulates slowly
Regulators aren’t used to moving at the speed that AI necessitates, and even if they were, there’s no guarantee that it would make a difference in how we’re able to use AI to successfully defend ourselves from adversaries. For example, legislators have attempted for decades to regulate and penalize the recreational drug trade in America, but criminals pushing dangerous, illicit substances don’t follow those rules; they’re criminals, so they don’t care. The same behavior will occur among our geopolitical rivals, who will disregard any attempt America makes to place guardrails around AI development.
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In the past eight months, hackers have claimed to be developing or investing heavily in artificial intelligence, and researchers have already confirmed that attackers could enable OpenAI’s tools to aid them in hacking. How effective these methods are currently and how advanced other nations’ AI tools are doesn’t matter as long as we know that they’re developing them — and will certainly use them for malicious purposes. Because these attackers and nations won’t adhere to any moratorium that we place on AI development in America, our country cannot afford to pause our research, or we risk falling behind our adversaries in multiple ways.
In cybersecurity, we’ve always referred to our ability to create tools to thwart attackers’ exploits and scams as an arms race. But with AI as advanced as GPT-4 in the picture, the arms race has gone nuclear. Malicious actors can use artificial intelligence to find vulnerabilities and entry points and generate phishing messages that take information from public company emails, LinkedIn, and organizational charts, rendering them nearly identical to real emails or text messages.
On the other hand, cybersecurity companies looking to bolster their defensive prowess can use AI to easily identify patterns and anomalies in system access records, or create test code, or as a natural language interface for analysts to quickly gather info without needing to program.
What’s important to remember, though, is that both sides are developing their arsenal of AI-based tools as fast as possible — and pausing that development would only sideline the good guys.
The need for speed
That isn’t to say we should let private companies develop AI as a fully unregulated technology. When genetic engineering evolved to become a reality in the healthcare industry, the federal government regulated it within America to enable more effective medicine while recognizing that other countries and independent adversaries might use it unethically or to cause harm — creating viruses, for example.
I believe we can do the same for AI by recognizing that we have to create protections and standards for ethical use but also grasp that our enemies will not be following those regulations. In order to do so, our government and technology CEOs need to operate swiftly without delay. We have to operate at the pace of AI’s current development, or in other words, the speed of data.
Dan Schiappa is chief product officer at Arctic Wolf.
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The AI genie is out of the bottle, and we can’t put it back in
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The AI genie bottle, VentureBeat Skip main content Events Video Special Issues 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 Guest The AI genie bottle, Dan Schiappa, Arctic Wolf May 27, 2023 9:10 AM Share Facebook Share Twitter Share LinkedIn Image Credit: Created Midjourney Join executives San Francisco July 1112, hear leaders integrating optimizing AI investments success. Learn More This month, saw government officials meet leading tech executives, including Alphabet Microsoft CEOs, discuss advancements AI Washingtons involvement. But quickly ChatGPT, Bard wellknown generative AI models advancing, American businesses know malicious actors representing worlds successful hacking groups aggressive nationstates building generative AI replicas wont stop anything. Theres ample reason experts concerned overwhelming speed generative AI transform technology industry, medical industry, education, agriculture nearly industry America, world. Movies like The Terminator, example, provide plenty fictional precedent scared effects runaway AI, fueling realistic concerns like AIinduced mass layoffs. But exactly AI power revolutionize society know America afford private governmentordered pause developing it, cripple ability defend individuals businesses enemies. Because AI development happens quickly, delay regulators development set exponentially comparison adversaries developing AI. AI advances quickly, government regulates slowly Regulators arent moving speed AI necessitates, were, theres guarantee difference able use AI successfully defend adversaries. For example, legislators attempted decades regulate penalize recreational drug trade America, criminals pushing dangerous, illicit substances dont follow rules; theyre criminals, dont care. The behavior occur geopolitical rivals, disregard attempt America makes place guardrails AI development. Event Transform 2023 Join San Francisco July 1112, executives share integrated optimized AI investments success avoided common pitfalls. Now In past months, hackers claimed developing investing heavily artificial intelligence, researchers confirmed attackers enable OpenAIs tools aid hacking. How effective methods currently advanced nations AI tools doesnt matter long know theyre developing certainly use malicious purposes. Because attackers nations wont adhere moratorium place AI development America, country afford pause research, risk falling adversaries multiple ways. In cybersecurity, weve referred ability create tools thwart attackers exploits scams arms race. But AI advanced GPT4 picture, arms race gone nuclear. Malicious actors use artificial intelligence vulnerabilities entry points generate phishing messages information public company emails, LinkedIn, organizational charts, rendering nearly identical real emails text messages. On hand, cybersecurity companies looking bolster defensive prowess use AI easily identify patterns anomalies access records, create test code, natural language interface analysts quickly gather info needing program. Whats important remember, though, sides developing arsenal AIbased tools fast possible pausing development sideline good guys. The need speed That isnt let private companies develop AI fully unregulated technology. When genetic engineering evolved reality healthcare industry, federal government regulated America enable effective medicine recognizing countries independent adversaries use unethically cause harm creating viruses, example. I believe AI recognizing create protections standards ethical use grasp enemies following regulations. In order so, government technology CEOs need operate swiftly delay. We operate pace AIs current development, words, speed data. Dan Schiappa chief product officer Arctic Wolf. DataDecisionMakers Welcome VentureBeat community DataDecisionMakers experts, including technical people data work, share datarelated insights innovation. If want read cuttingedge ideas uptodate information, best practices, future data data tech, join DataDecisionMakers. You considercontributing articleof Read More From DataDecisionMakers Most Read 1 Microsoft CTO tells devs legendary sht AI 2023 Build conference 2 Red Hat extends OpenShift generative AI era 3 Nvidia teams Microsoft accelerate AI efforts enterprises individuals Sign VB Daily Want read news straight inbox? DataDecisionMakers Follow Facebook Follow Twitter Follow LinkedIn Follow RSS Press Releases Us Advertise Share News Tip Contribute DataDecisionMakers Careers Do Not Sell My Personal Information 2023 VentureBeat. . Want mustread news straight inbox? Sign AI Weekly View Briefings No thanks
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] | 1 | 5,162 |
https://voonze.com/daedalean-the-ai-copilot-looking-for-permission-to-fly/
| 2023-03-05T00:00:00 |
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HomeTech NewsDaedalean: the AI copilot looking for permission to fly
Daedalean: the AI copilot looking for permission to fly
Tech News
Published on
March 5, 2023
By Abraham
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hvxsskyretpdufrjoqdcu7 1200 80.jpeg
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AI is starting to seep into virtually every aspect of our lives, automating all the tasks we don’t want to do. When it comes to transport, driverless cars have been around for a while now and continue to make progress; but what about going one step further – helping us to fly? One company – Daedalean – is on a mission to do just that.
In February, Daedalean, in partnership with Intel, published (opens in new tab) one in a series of upcoming white papers detailing its certifiable AI system, and how the technology could progress to lead to fully autonomous flight across the Aerospace and Defense (A&D) industry in future.
But focusing on its current technology, TechRadar Pro spoke to the company’s founder, CEO & CTO Dr. Luuk van Dijk, to find out more about its all-seeing AI and its goal towards becoming the first certified for a flight control application in civil aviation.
Planespotting
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Daedalean’s inaugural AI product is called PilotEye, and is what Dr. van Dijk calls a “visual situational awareness suit”, making use of hardware manufactured by avionics firm Avidyne (opens in new tab).
It is currently able to identify airborne traffic, but the full version, once released – currently known as the VXS (“visual everything suit”) will be able to detect all kinds of airborne hazards – “including birds and drones” – and provide “GNSS-independent navigation and positioning, and landing guidance for helicopters, fixed-wing aircraft, and eVTOL.” As Dr. van Dijk describes it, “VXS is an AI copilot working as a pilot assistant.”
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The VXS comes equipped with several multidirectional cameras and a unit that computes the information using Daedalean’s algorithms:
“The software is based on computer vision and machine learning (“AI”) and works on board aircraft with no connection to any ground infrastructure. The algorithms explore the video feed from each camera, [and] recognize and interpret what they are “seeing”.”
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This includes: “the landscape below to compare it with maps and provide pilot coordinates and altitude… ; the traffic around – what intruders are flying where and what is the distance to them; the runways or landing spots below, and the directions for the safe landing.”
Currently, the VXS can only operate effectively under optimal visual conditions, with Dr. van Dijk conceding that “while it is capable of working in moderately bad weather or reduced daylight, it is still not the omnipotent product.”
However, Dr. van Dijk claims that future developments will “make the suit work in any conditions, including the total absence of visibility.” This will be achieved by “adding night vision sensors, radars, and other sources of information.”
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(Image credit: Intel)
By parsing the input from the VXS cameras and other forthcoming sensors, the AI creates a “situational map of the environment”. This is what sets it apart from other avionic systems. The neural network analyzes these inputs and “gives answers to a question it is specified for: for example, is there an intruder on the image, like an aircraft or drone; or is there a runway below suitable for landing?”
Its job is to “process complicated information of high uncertainty, like an image with a landscape, objects on it, sky, clouds, and objects in the sky – and define what is there, which objects, where, on which distances, etc.”
But what exactly is the advantage of having an AI copilot over a human? Dr. van Dijk explains:
“Adding it to the cockpit will substantially add to flight safety: its tested performance results show that it sees much better and further than human vision.” Unlike a human, it is able to scan the entire sky at once, and is able to “recognize a Cessna at a distance of 3 nautical miles when it’s just a dot in the sky.”
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Dr. van Dijk also makes the point that is usually made in favor of automated systems in general: “unlike a human, it is never tired or distracted. Its purpose is just to let a pilot concentrate on their mission.”
Training
(Image credit: Daedalean)
As with all AI systems, the algorithm had to undergo training. Dr. van Dijk explains the process by which the complex statistical model employed by the AI was developed:
“It was created by… analyzing millions of similar images annotated by humans. Humans have a seemingly magical ability to know the answer to the question “is there an aircraft in this image” by looking at it – but a potent statistical model can extract statistical patterns from their decisions, finding millions of parameters distinguishing images for which a human answered “yes” from the ones with “no”. This process is called machine learning.”
Dr. van Dijk detailed the many layers involved in this training process, to ensure the AI is adequately equipped to identify traffic with a high degree of correctness.
The first step as mentioned above – analyzing millions of images – was paid special attention to, with two teams – one in Riga and one in Zurich – of “specially trained data annotators” being assigned to the task. Dr. van Dijk remarks that Daedalean “invested a lot in this because the process of how they work with data is also subject to certification requirements.”
These annotated images are then used as the training data that is fed into the neural network which “analyzes each pixel on them and finds statistical dependencies between the state of each of those pixels”, to determine whether or not an aircraft is present and its exact location within the image.
(Image credit: Daedalean)
“There are millions (again, literally) of the parameters it counts in its statistical equations; that’s why no human is able to monitor it and influence what it does. This is the role of another special computer program (training algorithm). It fiddles with the parameters asking the neural network again and again and comparing its answers to the answers done by humans (in the form of those annotated images). Until the NN answers become reliably similar to the known answers.”
The next phase is testing, where the newly-trained algorithm is fed yet more images it has never seen before – again annotated by humans – and tasked once more with making identification decisions.
Once it passes this stage, it gets installed onto a “data collection aircraft or drones (when we are testing lighter versions of hardware).”
“Often we have two aircraft flying – one with VXS onboard and the second one to act as a target. They play different scenarios, encountering from different directions, at different altitudes, directions, velocities. The system records everything that its cameras see during the flight.”
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From here, the AI is assessed after its flight: “we have special algorithms AND humans analyzing it second by second and image by image. We analyze where the neural network was mistaken and why and use this knowledge for the next cycle.”
And so, “after many cycles of lab testing, improving, real flight testing, improving again – the whole application gets frozen and released.” What or when that release might be depends on being certified by the appropriate authorities.
Cleared for takeoff
(Image credit: Daedalean)
Daedalean is looking to get its AI certified with both the FAA (Federal Aviation Administration) and EASA (European Union Aviation Safety Agency): “We are working with the European and American regulators simultaneously to get a certificate covering a selection of aircraft models in 2023.” If it achieves this, then this will be a world first for AI.
But Daedalean is doing more than trying to get its own product off the ground. It is an active participant in conducting research and reports on the use of AI and ML in aviation, working with both the aforementioned authorities closely to ensure AI is applied safely to the industry.
“EASA and Daedalean collaborated and published two joint reports on Concepts of Design Assurance for Neural Networks (CoDANN) (2020 (opens in new tab), 2021 (opens in new tab)). The reports discuss how classical software design assurance can be adapted for ML in safety-critical settings. The results of this research partly led to EASA’s first guidance for Level I AI/ML in aviation.”
And then, in 2021, “the FAA studied, in collaboration with Daedalean, the applicability of the CoDANN findings to a real application. This project resulted in a report published by the FAA in 2022 (opens in new tab).”
Although there is a lot to go through to become certified, Dr. van Dijk is optimistic about the future, confident that growth will come:
“Based on the demand we are currently seeing for our Eval Kit (the demonstrator we offer to selected customers possessing permission to install experimental equipment), we expect a hundred annual installations annually in the first and second year (this is a significant number for the General Aviation industry), and an exponential growth after that, since the air taxis will be getting their operation permissions and arrive to the market at the scale of thousands.”
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Social Network LinkedIn Pinterest Facebook Instagram TikTOk Twitter WhatsApp Youtube Editors Pick here... HomeTech NewsDaedalean: AI copilot looking permission fly Daedalean: AI copilot looking permission fly Tech News Published March 5, 2023 By Abraham FacebookTwitterPinterestWhatsApp hvxsskyretpdufrjoqdcu7 1200 80.jpeg Advertisement AI starting seep virtually aspect lives, automating tasks dont want do. When comes transport, driverless cars continue progress; going step helping fly? One company Daedalean mission that. In February, Daedalean, partnership Intel, published opens new tab series upcoming white papers detailing certifiable AI system, technology progress lead fully autonomous flight Aerospace Defense AD industry future. But focusing current technology, TechRadar Pro spoke companys founder, CEO CTO Dr. Luuk van Dijk, allseeing AI goal certified flight control application civil aviation. Planespotting Advertisement Daedaleans inaugural AI product called PilotEye, Dr. van Dijk calls visual situational awareness suit, making use hardware manufactured avionics firm Avidyne opens new tab. It currently able identify airborne traffic, version, released currently known VXS visual suit able detect kinds airborne hazards including birds drones provide GNSSindependent navigation positioning, landing guidance helicopters, fixedwing aircraft, eVTOL. As Dr. van Dijk describes it, VXS AI copilot working pilot assistant. Facebook allows screen sharing Messenger video calls TAGS callsfacebookmessengerscreensharingvideo The VXS comes equipped multidirectional cameras unit computes information Daedaleans algorithms: The software based vision machine learning AI works board aircraft connection ground infrastructure. The algorithms explore video feed camera, [and] recognize interpret seeing. Advertisement This includes: landscape compare maps provide pilot coordinates altitude ; traffic intruders flying distance them; runways landing spots below, directions safe landing. Currently, VXS operate effectively optimal visual conditions, Dr. van Dijk conceding capable working moderately bad weather reduced daylight, omnipotent product. However, Dr. van Dijk claims future developments suit work conditions, including total absence visibility. This achieved adding night vision sensors, radars, sources information. Advertisement Image credit: Intel By parsing input VXS cameras forthcoming sensors, AI creates situational map environment. This sets apart avionic systems. The neural network analyzes inputs gives answers question specified for: example, intruder image, like aircraft drone; runway suitable landing? Its job process complicated information high uncertainty, like image landscape, objects it, sky, clouds, objects sky define there, objects, where, distances, etc. But exactly advantage AI copilot human? Dr. van Dijk explains: Adding cockpit substantially add flight safety: tested performance results sees better human vision. Unlike human, able scan entire sky once, able recognize Cessna distance 3 nautical miles dot sky. The Realme C11 leaks completely days presentation TAGS completelydaysleakspresentationRealme Dr. van Dijk makes point usually favor automated systems general: unlike human, tired distracted. Its purpose let pilot concentrate mission. Training Image credit: Daedalean As AI systems, algorithm undergo training. Dr. van Dijk explains process complex statistical model employed AI developed: It created analyzing millions similar images annotated humans. Humans seemingly magical ability know answer question aircraft image looking potent statistical model extract statistical patterns decisions, finding millions parameters distinguishing images human answered yes ones no. This process called machine learning. Dr. van Dijk detailed layers involved training process, ensure AI adequately equipped identify traffic high degree correctness. The step mentioned analyzing millions images paid special attention to, teams Riga Zurich specially trained data annotators assigned task. Dr. van Dijk remarks Daedalean invested lot process work data subject certification requirements. These annotated images training data fed neural network analyzes pixel finds statistical dependencies state pixels, determine aircraft present exact location image. Image credit: Daedalean There millions again, literally parameters counts statistical equations; thats human able monitor influence does. This role special program training algorithm. It fiddles parameters asking neural network comparing answers answers humans form annotated images. Until NN answers reliably similar known answers. The phase testing, newlytrained algorithm fed images seen annotated humans tasked making identification decisions. Once passes stage, gets installed data collection aircraft drones testing lighter versions hardware. Often aircraft flying VXS onboard second act target. They play different scenarios, encountering different directions, different altitudes, directions, velocities. The records cameras flight. My router work: list common failures solutions TAGS commonfailureslistroutersolutionswork From here, AI assessed flight: special algorithms AND humans analyzing second second image image. We analyze neural network mistaken use knowledge cycle. And so, cycles lab testing, improving, real flight testing, improving application gets frozen released. What release depends certified appropriate authorities. Cleared takeoff Image credit: Daedalean Daedalean looking AI certified FAA Federal Aviation Administration EASA European Union Aviation Safety Agency: We working European American regulators simultaneously certificate covering selection aircraft models 2023. If achieves this, world AI. But Daedalean trying product ground. It active participant conducting research reports use AI ML aviation, working aforementioned authorities closely ensure AI applied safely industry. EASA Daedalean collaborated published joint reports Concepts Design Assurance Neural Networks CoDANN 2020 opens new tab, 2021 opens new tab. The reports discuss classical software design assurance adapted ML safetycritical settings. The results research partly led EASAs guidance Level I AIML aviation. And then, 2021, FAA studied, collaboration Daedalean, applicability CoDANN findings real application. This project resulted report published FAA 2022 opens new tab. Although lot certified, Dr. van Dijk optimistic future, confident growth come: Based demand currently seeing Eval Kit demonstrator offer selected customers possessing permission install experimental equipment, expect annual installations annually second year significant number General Aviation industry, exponential growth that, air taxis getting operation permissions arrive market scale thousands. CreditDaedalean: AI copilot looking permission fly Advertisement Latest articles Tech News How add summary Google Doc Adding summary Google Docs document useful author... Tech News MLS Season Pass Apple TV: How Watch Stream Major League Soccer 2023 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. We use cookies ensure best experience website. If continue use site assume happy it.OkPrivacy policy
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] | 1 | 5,163 |
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| 2023-06-23T00:00:00 |
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HomeTech NewsHow to?How to lose weight with ChatGPT, these are my tricks
How to lose weight with ChatGPT, these are my tricks
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- Advertisement -
In a world where technology continues to evolve rapidly, Artificial Intelligence Virtual Assistants as ChatGPT of OpenAI have become essential tools for everyday life. But, did you know that these assistants can also be your allies on your way to a healthier life and a more controlled weight?
How does ChatGPT for weight loss work?
ChatGPT uses a technique of machine learning called Generative Pre-Trained Transformer (GPT) Models. This system feeds on huge amounts of text, which it uses to learn how to predict the probability of a given word in a sentence.- Advertisement -
When you communicate your weight loss goals to ChatGPT, it can help you record your eating habits and physical activity. Every time you provide it with information about what you eat, it generates a food list and the estimated calories each. Plus, at the end of each day, it can tell you the calories you’ve consumed and burned, taking into account the steps you’ve taken and your basal metabolism.
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But he is not only in charge of making tables. I can tell him to analyze everything I have eaten during the day and tell me what nutrients I am missing, in order to make one dinner or another:
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In this way, I can tell him to recommend me some dinner, keeping in mind everything I have eaten, my nutrients and the physical activity that I have already done during the day.
Benefits of using ChatGPT on your weight loss journey
One of the biggest challenges when trying to lose weight is constantly tracking caloric intake and physical activity. With ChatGPT, this monitoring is considerably simplified, since the system takes care of the calculations and provides you with the data in a clear and accessible way.- Advertisement -
Nutritional advice
ChatGPT not only keeps track of your caloric intake, but can also offer you nutritional recommendations. If you tell it what you’ve eaten during the day, it can identify which nutrients might be missing from your diet and suggest foods to balance your meals. This ensures that while you are reducing your weight, you are also receiving the proper nutrition.
Progress Tracking
Another benefit of using ChatGPT is the ability to track your progress over time. You can provide him with your weight and body fat percentage data, and he will inform you of the progress you have made towards your goals.
It is important to keep in mind that it is not a substitute for a nutritionist, but not everyone has the possibility of having a professional of this type within reach or pocket. ChatGPT can help us better control what we eat, give advice and guide us better, and it is always at a distance from the mobile.
The important thing is that you are realistic and sincere, and that you keep the entire conversation on this topic in the same chat (if possible in the ChatGPT 4 version), so that you understand the context. Go commenting right there on the progress, the percentage of fat, the weight, the indices… everything you consider necessary so that ChatGPT has the necessary data when preparing the next recipes.
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How lose weight ChatGPT, tricks 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 NewsHow to?How lose weight ChatGPT, tricks How lose weight ChatGPT, tricks Tech NewsHow to? FacebookTwitterPinterestWhatsApp chatgpt adelgazar.jpg Advertisement In world technology continues evolve rapidly, Artificial Intelligence Virtual Assistants ChatGPT OpenAI essential tools everyday life. But, know assistants allies way healthier life controlled weight? How ChatGPT weight loss work? ChatGPT uses technique machine learning called Generative PreTrained Transformer GPT Models. This feeds huge amounts text, uses learn predict probability given word sentence. Advertisement When communicate weight loss goals ChatGPT, help record eating habits physical activity. Every time provide information eat, generates food list estimated calories each. Plus, end day, tell calories youve consumed burned, taking account steps youve taken basal metabolism. What Bitcoin Pizza Day TAGS But charge making tables. I tell analyze I eaten day tell nutrients I missing, order dinner another: Advertisement In way, I tell recommend dinner, keeping mind I eaten, nutrients physical activity I day. Benefits ChatGPT weight loss journey One biggest challenges trying lose weight constantly tracking caloric intake physical activity. With ChatGPT, monitoring considerably simplified, takes care calculations provides data clear accessible way. Advertisement Nutritional advice ChatGPT keeps track caloric intake, offer nutritional recommendations. If tell youve eaten day, identify nutrients missing diet suggest foods balance meals. This ensures reducing weight, receiving proper nutrition. Progress Tracking Another benefit ChatGPT ability track progress time. You provide weight body fat percentage data, inform progress goals. It important mind substitute nutritionist, possibility professional type reach pocket. ChatGPT help better control eat, advice guide better, distance mobile. The important thing realistic sincere, entire conversation topic chat possible ChatGPT 4 version, understand context. Go commenting right progress, percentage fat, weight, indices consider necessary ChatGPT necessary data preparing recipes. Spotify releases financial results surpasses 500 million active users TAGS Advertisement Latest articles Tech News Best 4K monitors 2023: HDR, 144Hz, budget, best overall 4K resolution going mainstreameven PC monitors. Delivering pixel count times... Apple ome Tax 2023: consult 2nd batch refund The Federal Revenue opened consultation 2nd batch ome Tax 2023 refunds... 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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HomeTech NewsArtificial IntelligenceOpenAI, Google and other companies sign White House pledge over AI risks
OpenAI, Google and other companies sign White House pledge over AI risks
Tech NewsArtificial Intelligence
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During President Biden’s 50-year Washington political career, he has witnessed a slew of innovations, including the invention of the cellphone, the first Mac computer, the World Wide Web and social media.
But rapid advances in artificial intelligence, highlighted by the recent release of ChatGPT, have stunned the seasoned president.
“We’ll see more technology change in the next 10 years, or even in the next few years, than we’ve seen in the last 50 years,” he said. “That has been an astounding revelation to me, quite frankly.”- Advertisement -
To meet the moment, the Biden White House on Friday took its most ambitious step to date to address the safety concerns and risks of artificial intelligence, announcing that seven of the most influential companies building AI have agreed to a voluntary pledge to mitigate the risks of the emerging technology, escalating the White House’s involvement in an increasingly urgent debate over AI regulation.
Biden also said he was going to work with both parties to develop “appropriate” AI legislation, throwing the weight of the White House behind bipartisan efforts in Congress to craft AI rules. Washington policymakers face growing pressure from consumer advocates and AI ethicists to craft new laws governing the technology, but previous congressional efforts to regulate Silicon Valley have been derailed by industry lobbying, partisan squabbles and competing priorities.
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Biden also said the administration is developing an executive order focused on AI. A senior White House official, who spoke on the condition of anonymity to discuss the pledge, said that the administration was reviewing the role of AI across government agencies and said it was a “high priority” for Biden. The person shared few specific details about the executive order or a timeline for when it would be released.
In the White House pledge, the companies — which include Google, Amazon, Microsoft, Meta and ChatGPT-maker OpenAI — vowed to allow independent security experts to test their systems before they are released to the public and committed to sharing data about the safety of their systems with the government and academics.- Advertisement -
The firms also pledged to develop tools to alert the public when an image, video or text is created by artificial intelligence, a method known as “watermarking.”
On July 21, President Biden announced that seven top technology companies building artificial intelligence agreed to a voluntary pledge to mitigate risks of AI. (Video: The Washington Post)
In addition to the tech giants, several newer businesses at the forefront of AI development signed the pledge, including Anthropic and Inflection. (Amazon founder Jeff Bezos owns The Washington Post. Interim CEO Patty Stonesifer sits on Amazon’s board.)- Advertisement -
Enforcement of the pledge would largely fall to the Federal Trade Commission, which has emerged as the federal government’s top tech industry watchdog. Breaking from a public commitment can be considered a deceptive practice, which would run afoul of existing consumer protection law, according to a FTC official, who spoke on the condition of anonymity to discuss the agency’s thinking on enforcement.
However, the pledge does not include specific deadlines or reporting requirements — and the mandates are outlined in broad language — which could complicate regulators’ efforts to hold the companies to their promises.
During a speech about the pledge, Biden said the commitments would help the industry “fulfill its fundamental obligation to Americans” to develop secure and trustworthy technology.
“These commitments are real, and they are concrete,” he said.
White House signals support for AI legislation
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In the absence of new laws, the pledge marks the Biden White House’s strongest attempt to date to implement guardrails for developers working in the field. Yet policymakers and consumer advocates warned that Friday’s pledge should be just the beginning of the White House’s work to address AI safety, pointing to tech companies’ checkered history of keeping their safety and security commitments.
“History would indicate that many tech companies do not actually walk the walk on a voluntary pledge to act responsibly and support strong regulations,” said Jim Steyer, the founder and CEO of the advocacy group Common Sense Media in a statement.
Many of the top executives who signed the pledge — including Microsoft President Brad Smith, Inflection AI CEO Mustafa Suleyman and Meta President of Global Affairs Nick Clegg — attended Biden’s speech at the White House. After a reporter asked the company leaders if they were real or AI, Biden entered and told attendees in the Roosevelt Room, “I am the AI.”
Several of the signers have already publicly agreed to some similar actions to those in the White House’s pledge. Before OpenAI rolled out its GPT-4 system widely, it brought in a team of outside professionals to run exercises, a process known as “redteaming.” Google has already said in a blog post it is developing watermarking, which companies and policymakers have touted as a way to address concerns that AI could supercharge misinformation.
The White House official said the agreement would lead to higher standards across the industry.
“This is going to be pushing the envelope on what companies are doing and raising the standards for safety, security and trust of AI,” the person said.
CEO behind ChatGPT warns Congress AI could cause ‘harm to the world’
Despite broad concerns about the growing power and influence of the tech sector, Congress has not passed comprehensive regulations of Silicon Valley, and the Biden administration has attempted to use voluntary pledges as a stopgap measure. Nearly two years ago, the Biden administration sought public commitments from major tech companies to improve their cybersecurity practices at a similar White House summit.
Tech executives on Friday morning reiterated their commitments to the White House in statements and blog posts. Anna Makanju, OpenAI’s vice president of global affairs, said the pledge contributes “specific and concrete practices” to the global debate over AI laws. Amazon spokesman Tim Doyle said the company was “committed” to collaborating with the White House and other policymakers to advance responsible AI.
The White House announcement follows Biden and Vice President Harris’s recent flurry of AI meetings with top tech executives, researchers, consumer advocates and civil liberties groups.
Biden meets with tech company critics on AI
There are a bevy of different proposals in Congress to regulate AI, and key bipartisan measures are probably months away. Senate Majority Leader Charles E. Schumer (D-N.Y.) has formed a bipartisan group to work on AI legislation, which has spent the summer seeking briefings with top AI experts.
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Schumer said in a statement Friday that he planned to work closely with the Biden administration and would build upon its actions. He said the AI framework he recently introduced will “strengthen and expand” the president’s pledge.
“To maintain our lead, harness the potential, and tackle the challenges of AI effectively requires legislation to build and expand on the actions President Biden is taking today,” he said.
FTC investigates OpenAI over data leak and ChatGPT’s inaccuracy
Meanwhile, government agencies are evaluating ways that they can use existing laws to regulate artificial intelligence. The Federal Trade Commission has opened an extensive probe into ChatGPT, sending the company a demand for documents about the data security practices of its product and times that it has made false statements.
Washington’s counterparts in Brussels have been moving more aggressively on AI regulation. The European Union is in negotiations on its E.U. AI Act, which policymakers expect will become law by the end of this year. However, it will likely not become enforceable for two years after that. In the interim, European officials have been seeking similar voluntary commitments from tech companies to comply in a pledge called the “AI Pact,” a public commitment to begin preparing for the E.U. AI Act.
Gerrit De Vynck contributed to this report.
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OpenAI, Google and other companies sign White House pledge over AI risks
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OpenAI, Google companies sign White House pledge AI risks 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 NewsArtificial IntelligenceOpenAI, Google companies sign White House pledge AI risks OpenAI, Google companies sign White House pledge AI risks Tech NewsArtificial Intelligence FacebookTwitterPinterestWhatsApp xmvwfequp25k3lpc574mqo33xq.jpgw1440.jpeg Advertisement Comment storyComment During President Bidens 50year Washington political career, witnessed slew innovations, including invention cellphone, Mac computer, World Wide Web social media. But rapid advances artificial intelligence, highlighted recent release ChatGPT, stunned seasoned president. Well technology change 10 years, years, weve seen 50 years, said. That astounding revelation me, frankly. Advertisement To meet moment, Biden White House Friday took ambitious step date address safety concerns risks artificial intelligence, announcing seven influential companies building AI agreed voluntary pledge mitigate risks emerging technology, escalating White Houses involvement increasingly urgent debate AI regulation. Biden said going work parties develop appropriate AI legislation, throwing weight White House bipartisan efforts Congress craft AI rules. Washington policymakers face growing pressure consumer advocates AI ethicists craft new laws governing technology, previous congressional efforts regulate Silicon Valley derailed industry lobbying, partisan squabbles competing priorities. Instagram wants add advertising platform TAGS advertisinginstagramplatformwants Biden said administration developing executive order focused AI. A senior White House official, spoke condition anonymity discuss pledge, said administration reviewing role AI government agencies said high priority Biden. The person shared specific details executive order timeline released. In White House pledge, companies include Google, Amazon, Microsoft, Meta ChatGPTmaker OpenAI vowed allow independent security experts test systems released public committed sharing data safety systems government academics. Advertisement The firms pledged develop tools alert public image, video text created artificial intelligence, method known watermarking. On July 21, President Biden announced seven technology companies building artificial intelligence agreed voluntary pledge mitigate risks AI. Video: The Washington Post In addition tech giants, newer businesses forefront AI development signed pledge, including Anthropic Inflection. Amazon founder Jeff Bezos owns The Washington Post. Interim CEO Patty Stonesifer sits Amazons board. Advertisement Enforcement pledge largely fall Federal Trade Commission, emerged federal governments tech industry watchdog. Breaking public commitment considered deceptive practice, run afoul existing consumer protection law, according FTC official, spoke condition anonymity discuss agencys thinking enforcement. However, pledge include specific deadlines reporting requirements mandates outlined broad language complicate regulators efforts hold companies promises. During speech pledge, Biden said commitments help industry fulfill fundamental obligation Americans develop secure trustworthy technology. These commitments real, concrete, said. White House signals support AI legislation Save 800 RTX 3070 Tipowered HP Omen gaming laptop TAGS In absence new laws, pledge marks Biden White Houses strongest attempt date implement guardrails developers working field. Yet policymakers consumer advocates warned Fridays pledge beginning White Houses work address AI safety, pointing tech companies checkered history keeping safety security commitments. History indicate tech companies actually walk walk voluntary pledge act responsibly support strong regulations, said Jim Steyer, founder CEO advocacy group Common Sense Media statement. Many executives signed pledge including Microsoft President Brad Smith, Inflection AI CEO Mustafa Suleyman Meta President Global Affairs Nick Clegg attended Bidens speech White House. After reporter asked company leaders real AI, Biden entered told attendees Roosevelt Room, I AI. Several signers publicly agreed similar actions White Houses pledge. Before OpenAI rolled GPT4 widely, brought team outside professionals run exercises, process known redteaming. Google said blog post developing watermarking, companies policymakers touted way address concerns AI supercharge misinformation. The White House official said agreement lead higher standards industry. This going pushing envelope companies raising standards safety, security trust AI, person said. CEO ChatGPT warns Congress AI cause harm world Despite broad concerns growing power influence tech sector, Congress passed comprehensive regulations Silicon Valley, Biden administration attempted use voluntary pledges stopgap measure. Nearly years ago, Biden administration sought public commitments major tech companies improve cybersecurity practices similar White House summit. Tech executives Friday morning reiterated commitments White House statements blog posts. Anna Makanju, OpenAIs vice president global affairs, said pledge contributes specific concrete practices global debate AI laws. Amazon spokesman Tim Doyle said company committed collaborating White House policymakers advance responsible AI. The White House announcement follows Biden Vice President Harriss recent flurry AI meetings tech executives, researchers, consumer advocates civil liberties groups. Biden meets tech company critics AI There bevy different proposals Congress regulate AI, key bipartisan measures probably months away. Senate Majority Leader Charles E. Schumer DN.Y. formed bipartisan group work AI legislation, spent summer seeking briefings AI experts. Valve confirms dates traditional Steam sales festivals 2023 TAGS Schumer said statement Friday planned work closely Biden administration build actions. He said AI framework recently introduced strengthen expand presidents pledge. To maintain lead, harness potential, tackle challenges AI effectively requires legislation build expand actions President Biden taking today, said. FTC investigates OpenAI data leak ChatGPTs inaccuracy Meanwhile, government agencies evaluating ways use existing laws regulate artificial intelligence. The Federal Trade Commission opened extensive probe ChatGPT, sending company demand documents data security practices product times false statements. Washingtons counterparts Brussels moving aggressively AI regulation. The European Union negotiations E.U. AI Act, policymakers expect law end year. However, likely enforceable years that. In interim, European officials seeking similar voluntary commitments tech companies comply pledge called AI Pact, public commitment begin preparing E.U. AI Act. Gerrit De Vynck contributed report. Gift articleGift Article Advertisement Latest articles Tech News 5 concerns keeping IT leaders night IT leaders face numerous challenges. Here of... Tech News Telegram Stories arrive paid Premium users Telegrams new Stories feature promised, available Premium... More like TechSmartHow smart tech changing life By AEREZONA DEVELOPERS Office 31, 3rd Floor, Frahan Plaza G11 Markaz, Islamabad. email: info 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
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| 2023-02-28T00:00:00 |
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Spotify’s AI DJ Has No Soul | How smart Technology changing lives
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HomeTech NewsSpotify’s AI DJ Has No Soul
Spotify’s AI DJ Has No Soul
Tech News
Published on
February 28, 2023
By Abraham
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spotifys ai dj is here to algorithmically rock your party gear gettyimages 586919237.jpg
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Even the very best radio DJ can be annoying. It’s the nature of the role. No matter how smooth their voice is, they still break in between songs—or worse, talk over them. Their little interruptions, popping into your life at unexpected and often inopportune times, remind you they’re there. They can be annoying, sure, but they’re also comforting, because they’re friendly and familiar humans.
Of course, nobody listens to the radio anymore. We all have spotify accounts, or mooch off someone else’s. (Thanks Dad!) The radio DJ is a dinosaur, buried and compressed and repurposed to fuel endless algorithmically generated streaming playlists. In a way, it is a blessing. Choose a genre or mood and groove without interruption until the end of time. In the background, an Artificial intelligence decides what should come next.
The recent rise of generative AI has made some companies no longer content to just let their algorithms simmer in the background. They want to bring them to the forefront. Partly to show off and try to cash in on the current AI gold rush, but also, I think, in an effort to humanize their algorithms. They shove them into the spotlight to convince people the AIs are super chill, actually, and can hang with us meatsacks.
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Spotify, king of the algorithmic playlist, is eager to do just that. The music streaming service is rolling out a new AI DJ service starting this week. It is available as a beta option on the Spotify mobile app, though only for people who pay for Spotify Premium. The feature is the result of Spotify’s acquisition last year of the AI voice service Sonantic. The robot DJ breaks into the stream between songs to tell you what you’re listening to. The voice is modeled on the melodious rumble of Xavier “X” Jernigan, Spotify’s head of cultural partnerships. The generated audio sounds fantastic, especially for a digital simulacrum. AI voices have a tendency to divebomb straight into the uncanny valley, with their strange intonations and halting, robotic cadences. X, in contrast, sounds realistic. Occasionally it stumbles or sounds slightly stilted when saying the name of an artist or song. But otherwise it comes across as a cool, calm voice guiding you through your music. “Take a journey through a little bit of jazz today,” X may invite you. “Tommy Lehman up first.”
However, it does not sound quite natural enough. Though the voice makes quips or shares tidbits about bands you’re listening to, the interruptions never feel warm or personable. You may hate when a dipshit human shock jock word-vomits over the outro of your favorite song to tee up an ad break, but at least there is indeed a dipshit human behind that action. Cast your mind’s eye behind Spotify’s X voice and you will find only the void—a vast jumble of machine-learning metrics and carefully calculated curation that tells you what it thinks you want to hear. Listening to the AI DJ feels eerily lonely, in that it is a constant reminder of what it is not.
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What’s even more unnerving is how cavalier it is about how much it knows about you. Like Spotify Wrapped, the AI DJ’s access to your personal data goes deeper than you may think a music service is capable of. X knows enough to play music from your past and guess the emotions that specific songs evoke from you. You can tell the AI to change the mood with the tap of a button, though the changes feel random, and it can take several taps before landing on something you vibe with. Even then, it’s learning still more about you, like where your headspace is at certain times of the day or based on your location. It is saying the quiet part about Spotify’s data collection out loud, and packaging it as a friendly robo-pal. Say what you will about the annoying human DJ, but at least they’re more than a funhouse-mirror reflection of yourself.
CreditSpotify’s AI DJ Has No Soul
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Spotify’s AI DJ Has No Soul
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Spotifys AI DJ Has No Soul 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 NewsSpotifys AI DJ Has No Soul Spotifys AI DJ Has No Soul Tech News Published February 28, 2023 By Abraham FacebookTwitterPinterestWhatsApp spotifys ai dj algorithmically rock party gear gettyimages 586919237.jpg Advertisement Even best radio DJ annoying. Its nature role. No matter smooth voice is, break songsor worse, talk them. Their little interruptions, popping life unexpected inopportune times, remind theyre there. They annoying, sure, theyre comforting, theyre friendly familiar humans. Of course, listens radio anymore. We havespotify accounts, mooch elses. Thanks Dad The radio DJ dinosaur, buried compressed repurposed fuel endless algorithmically generated streaming playlists. In way, blessing. Choose genre mood groove interruption end time. In background, Artificial intelligence decides come next. The recent rise generative AI companies longer content let algorithms simmer background. They want bring forefront. Partly try cash current AI gold rush, also, I think, effort humanize algorithms. They shove spotlight convince people AIs super chill, actually, hang meatsacks. Advertisement Spotify, king algorithmic playlist, eager that. The music streaming service rolling newAI DJ service starting week. It available beta option Spotify mobile app, people pay Spotify Premium. The feature result Spotifys acquisition year AI voice serviceSonantic. The robot DJ breaks stream songs tell youre listening to. The voice modeled melodious rumble Xavier X Jernigan, Spotifys head cultural partnerships. The generated audio sounds fantastic, especially digital simulacrum. AI voices tendency divebomb straight uncanny valley, strange intonations halting, robotic cadences. X, contrast, sounds realistic. Occasionally stumbles sounds slightly stilted saying artist song. But comes cool, calm voice guiding music. Take journey little bit jazz today, X invite you. Tommy Lehman first. However, sound natural enough. Though voice makes quips shares tidbits bands youre listening to, interruptions feel warm personable. You hate dipshit human shock jock wordvomits outro favorite song tee ad break, dipshit human action. Cast minds eye Spotifys X voice voida vast jumble machinelearning metrics carefully calculated curation tells thinks want hear. Listening AI DJ feels eerily lonely, constant reminder not. How recover deleted chats WhatsApp Android TAGS WhatsApp Whats unnerving cavalier knows you. LikeSpotify Wrapped, AI DJs access personal datagoes deeper think music service capable of. X knows play music past guess emotions specific songs evoke you. You tell AI change mood tap button, changes feel random, taps landing vibe with. Even then, learning you, like headspace certain times day based location. It saying quiet Spotifys data collection loud, packaging friendly robopal. Say annoying human DJ, theyre funhousemirror reflection yourself. CreditSpotifys AI DJ Has No Soul Advertisement TagsArtificial intelligencegear roundupspotifystreaming Latest articles Game Reviews Scars Above Recensione: atmosfera affascinante troppo arretrato Scars Above fonde vari generi impasto horror SciFi buone idee e... Latest news Losses U.S. weather climate disaster events getting costly : NPR NPRs Leila Fadel talks Susan Joy Hassol... 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https://wausaupilotandreview.com/2023/08/26/assembly-speaker-vos-announces-bipartisan-task-forces-including-one-focused-on-ai/
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Assembly Speaker Vos announces bipartisan task forces, including one focused on AI - Wausau Pilot & Review
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Assembly Speaker Vos announces bipartisan task forces, including one focused on AI - Wausau Pilot & Review
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Posted inNews
Assembly Speaker Vos announces bipartisan task forces, including one focused on AI
by Shereen SiewertAugust 26, 2023August 26, 2023
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by Baylor Spears, Wisconsin Examiner August 26, 2023
Assembly Speaker Robin Vos (R-Rochester) announced on Thursday the creation of four bipartisan task forces including one dedicated to artificial intelligence. The announcement follows Gov. Tony Evers’ Wednesday announcement that he was creating a task force on artificial intelligence (AI) and the state’s workforce.
The task forces, which will be led by a Republican chair and a Democratic vice-chair, will travel around the state to compile input and ideas related to each issue area, then develop recommendations. The committees will begin their work in September with the hope of finishing before the end of 2023.
“These are important issues to our state that our Assembly members and the public would like addressed,” Vos said in a statement.
Rep. Nate Gustafson (R-Neenah) and Rep. Steve Doyle (D-Onalaska) will lead the Artificial Intelligence Task Force, which will explore the technology’s role in elections, business, government and other aspects of life. The task force will look at various AI tools — including automated decision tools, facial recognition and generative AI — and study its potential as well as ways of deploying the technology responsibly and ethically.
“As we stand at the forefront of technological advancement, it is vital that we address the challenges and opportunities presented by AI,” Gustafson, who has a background in cybersecurity and information systems, said in a statement. “This task force represents an opportunity to ensure that Wisconsin remains a leader in responsible AI development, benefiting all sectors of our society.”
Vos’ task force comes as state leaders across the country are increasingly focusing on AI and after Evers signed an executive order on Wednesday to create a task force on workforce and AI within the Wisconsin Department of Workforce Development (DWD).
“Establishing this task force will be critical in understanding, adapting to, and capitalizing on the transformations AI will bring, ensuring Wisconsin’s workforce and industries remain steady, stable, and robust in the face of technological advancement,” Evers said in a statement.
The task force will include state leaders from the Department of Administration, Wisconsin Economic Development Corporation, representatives from the University of Wisconsin and Wisconsin Technical College Systems, and others from state and local government, the business community, educational institutions, organized labor and the technology sector.
Evers’ spokesperson Britt Cudaback told the Associated Press that the goal is to have an action plan done in time for Evers to consider when introducing the next state budget in early 2025.
Other states including Texas and West Virginia have created similar AI task forces, and other states are focused on proposing legislation. According to the National Conference of State Legislatures, at least 25 states, Puerto Rico and Washington D.C. have introduced artificial intelligence bills in the 2023 legislative session.
Vos announced three additional task forces on Thursday, which will come up with recommendations for addressing childhood obesity, truancy in K-12 education and human trafficking.
Rep. Karen Hurd (R-Fall Creek) and Rep. Robyn Vining (D-Wauwatosa) will lead a task force on childhood obesity, which will study the circumstances contributing to childhood obesity, including physical activity, nutrition and medical factors.
Rep. Amy Binsfeld (R-Sheboygan) and Rep. Dora Drake (D-Milwaukee) will lead a task force on truancy in K-12 education. The lawmakers will examine the relationship between truancy and student academic success, evaluate current practices for holding parents and schools accountable for student attendance and increase awareness and resources. The creation of the task force follows reports early this year that rates of chronic absenteeism rose in Wisconsin following the COVID-19 pandemic.
Rep. Jerry O’Connor (R-Fond du Lac) and Rep. Jodi Emerson (D-Eau Claire) will lead a task force on human trafficking with a focus on exploring ways of combating it through prevention, supporting and empowering survivors and prosecuting traffickers.
“Preventing and stopping trafficking is a truly nonpartisan ideal that brings together values that everyone can agree on – the rights to autonomy, freedom, and safety,” Emerson said in a statement. “While advocates and legislators have made some strides in recent decades to combat this scourge, there is still a great deal of work that we can do to finally end trafficking in Wisconsin.”
Wisconsin Examiner is part of States Newsroom, a network of news bureaus supported by grants and a coalition of donors as a 501c(3) public charity. Wisconsin Examiner maintains editorial independence. Contact Editor Ruth Conniff for questions: [email protected]. Follow Wisconsin Examiner on Facebook and Twitter.
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Assembly Speaker Vos announces bipartisan task forces, including one focused on AI
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Assembly Speaker Vos announces bipartisan task forces, including focused AI Wausau Pilot Review Were readerfunded news organization fighting expensive lawsuit threatens survival. Our reporting remains fiercely independent, manipulated commercial political ties. And free, everyone. But support us, need you. Monthly 17 25 50 Other Donation Annually 75 150 200 Other Donation Your contribution appreciated. Agree pay fees? 0 Paying transaction fee required, directs money support mission. Sign newsletter Donate card Stay know. Our newsletters informed latest local news sports Wausau Pilot Review. Today Review Afternoon Update Events Close Donate for: Support Work Open dropdown menu Donate News Open dropdown menu Schools Sports Opinion Sirens Food Obituaries Real Estate Events Media Kit Open dropdown menu Sponsorship Advertising free Facebook Twitter Close Skip content Facebook Twitter Wausau Pilot Review Where LOCALS Look First For News Donate Open for: Menu Support Work Open dropdown menu Donate News Open dropdown menu Schools Sports Opinion Sirens Food Obituaries Real Estate Events Media Kit Open dropdown menu Sponsorship Advertising free Posted inNews Assembly Speaker Vos announces bipartisan task forces, including focused AI Shereen SiewertAugust 26, 2023August 26, 2023 Share this:NextdoorFacebookRedditTwitterTumblrMastodonEmailPrint Baylor Spears, Wisconsin Examiner August 26, 2023 Assembly Speaker Robin Vos RRochester announced Thursday creation bipartisan task forces including dedicated artificial intelligence. The announcement follows Gov. Tony Evers Wednesday announcement creating task force artificial intelligence AI states workforce. The task forces, led Republican chair Democratic vicechair, travel state compile input ideas related issue area, develop recommendations. The committees begin work September hope finishing end 2023. These important issues state Assembly members public like addressed, Vos said statement. Rep. Nate Gustafson RNeenah Rep. Steve Doyle DOnalaska lead Artificial Intelligence Task Force, explore technologys role elections, business, government aspects life. The task force look AI tools including automated decision tools, facial recognition generative AI study potential ways deploying technology responsibly ethically. As stand forefront technological advancement, vital address challenges opportunities presented AI, Gustafson, background cybersecurity information systems, said statement. This task force represents opportunity ensure Wisconsin remains leader responsible AI development, benefiting sectors society. Vos task force comes state leaders country increasingly focusing AI Evers signed executive order Wednesday create task force workforce AI Wisconsin Department Workforce Development DWD. Establishing task force critical understanding, adapting to, capitalizing transformations AI bring, ensuring Wisconsins workforce industries remain steady, stable, robust face technological advancement, Evers said statement. The task force include state leaders Department Administration, Wisconsin Economic Development Corporation, representatives University Wisconsin Wisconsin Technical College Systems, state local government, business community, educational institutions, organized labor technology sector. Evers spokesperson Britt Cudaback told Associated Press goal action plan time Evers consider introducing state budget early 2025. Other states including Texas West Virginia created similar AI task forces, states focused proposing legislation. According National Conference State Legislatures, 25 states, Puerto Rico Washington D.C. introduced artificial intelligence bills 2023 legislative session. Vos announced additional task forces Thursday, come recommendations addressing childhood obesity, truancy K12 education human trafficking. Rep. Karen Hurd RFall Creek Rep. Robyn Vining DWauwatosa lead task force childhood obesity, study circumstances contributing childhood obesity, including physical activity, nutrition medical factors. Rep. Amy Binsfeld RSheboygan Rep. Dora Drake DMilwaukee lead task force truancy K12 education. The lawmakers examine relationship truancy student academic success, evaluate current practices holding parents schools accountable student attendance increase awareness resources. The creation task force follows reports early year rates chronic absenteeism rose Wisconsin following COVID19 pandemic. Rep. Jerry OConnor RFond du Lac Rep. Jodi Emerson DEau Claire lead task force human trafficking focus exploring ways combating prevention, supporting empowering survivors prosecuting traffickers. Preventing stopping trafficking truly nonpartisan ideal brings values agree rights autonomy, freedom, safety, Emerson said statement. While advocates legislators strides recent decades combat scourge, great deal work finally end trafficking Wisconsin. Wisconsin Examiner States Newsroom, network news bureaus supported grants coalition donors 501c3 public charity. Wisconsin Examiner maintains editorial independence. Editor Ruth Conniff questions: info Follow Wisconsin Examiner Facebook Twitter. Help Us Fight: Keep Local Journalism Alive Were readerfunded news organization, fighting expensive lawsuit threatens survival. Our reporting remains fiercely independent, manipulated commercial political ties. And free, everyone. But support us, need Monthly 12 25 50 Other Donation Annually 75 150 200 Other Donation Your contribution appreciated. Agree pay fees? 0 Paying transaction fee required, directs money support mission. Sign newsletter Donate card Like this:Like Loading... Related Tagged: afternoon update ForecastWausau66Cloudy6:13 am7:47 pm CDTFeels like: 66FWind: 11mph NNEHumidity: 63Pressure: 30.14HgUV index: 1ThuThuThuWeather forecast Wausau, Wisconsin Wausau Area Events Facebook Twitter Published content property Wausau Pilot Review. . For republication information email editor For Stories for: About Editorial Policy Donor Transparency Policy Privacy Conflict Interest Policies Funding Sources Who We Are Get Touch Advertise Facebook Commenting Policies 2023 Wausau Pilot Review. 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Norby AI - Desktop App for Mac and PC - WebCatalog
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Norby AI - Desktop App for Mac and PC - WebCatalogWebCatalogWebCatalogDownloadAppsGamesSpacesCollectionsPricingHelpSign inOpen menuHomeAppsBusinessNorby AINorby AIchat.norby.ioGet Desktop App on WebCatalogUse Web AppDon't have WebCatalog installed? Download WebCatalog.Enhance your experience with the Norby AI app for Mac and PC on WebCatalog.Run apps in distraction-free windows with many enhancements.Manage and switch between multiple accounts and apps easily without switching browsers.Get a chatbot powered by ChatGPT for your website.
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| 2,023 |
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https://wfin.com/fox-health-news/mayo-clinic-sees-ai-as-transformative-force-in-health-care-appoints-dr-bhavik-patel-as-chief-ai-officer/?utm_source=rss&utm_medium=rss&utm_campaign=mayo-clinic-sees-ai-as-transformative-force-in-health-care-appoints-dr-bhavik-patel-as-chief-ai-officer
| 2023-10-10T00:00:00 |
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Mayo Clinic sees AI as ‘transformative force’ in health care, appoints Dr. Bhavik Patel as chief AI officer - WFIN Local News
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Mayo Clinic sees AI as ‘transformative force’ in health care, appoints Dr. Bhavik Patel as chief AI officer - WFIN Local News
Tuesday, October 10, 2023
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Mayo Clinic sees AI as ‘transformative force’ in health care, appoints Dr. Bhavik Patel as chief AI officer
October 10, 2023
As artificial intelligence gains an ever-widening role in the medical field, the Mayo Clinic has recently appointed a new executive to lead the health system’s efforts in that area.
Radiologist Bhavik Patel, M.D., has been named chief artificial intelligence officer (CAIO) for Mayo Clinic Arizona. Before joining the clinic in 2021, Patel practiced at Duke University Medical Center and Stanford University Medical Center.
Dr. Richard Gray, CEO of Mayo Clinic Arizona, announced the hire on LinkedIn, noting the organization has only “begun to scratch the surface of AI’s potential in medicine.”
WHAT IS ARTIFICIAL INTELLIGENCE (AI)?
In his new role, Patel will lead Mayo Clinic’s Advanced AI and Innovation Hub.
He’ll focus on expanding AI-based solutions throughout the organization, according to a press release.
A growing number of health care organizations are hiring individuals in high-level AI roles, said Dr. Harvey Castro, a Dallas, Texas-based emergency medicine physician and AI expert — but it could be a challenge to fill them.
“We will likely see a huge increase in these roles, but may not have enough AI doctors to fill this space,” Castro told Fox News Digital.
ARTIFICIAL INTELLIGENCE: FREQUENTLY ASKED QUESTIONS ABOUT AI
Approximately 5,000 U.S. doctors have AI and data science knowledge after undergoing formal training in these fields, he estimated.
Why is the chief AI officer role important?
In an interview with Fox News Digital, Patel described AI as a “transformative force that has the potential to revolutionize health care delivery, research and operations.”
Given AI’s sweeping impact and fast growth, Mayo Clinic’s new CAIO said there is a need for a dedicated leadership position to ensure “clear direction and alignment with broader organizational goals.”
The chief AI officer is also responsible for balancing the technology’s risks and benefits, Patel noted.
“The chief AI officer is not just a technocrat, but a visionary leader.”
“While AI brings forth myriad benefits, it also carries inherent risks,” he said. “A CAIO provides the necessary oversight to ensure that the implementation of AI is ethical, responsible and in line with regulatory guidelines.”
A chief AI officer also “bridges the knowledge gap,” he said, helping teams understand and harness the technology’s power.
ARTIFICIAL INTELLIGENCE HELPS DOCTORS PREDICT PATIENTS’ RISK OF DYING, STUDY FINDS: ‘SENSE OF URGENCY’
The role is also important in terms of maximizing the use of resources, fostering collaboration across departments and keeping up with future health tech trends, Patel added.
“Their expertise is critical in ensuring that the organization remains on the cutting edge of technological advancements while safeguarding patient welfare,” he said.
“In essence, the chief AI officer is not just a technocrat, but a visionary leader, ensuring that the organization navigates the AI-driven paradigm shift in health care with agility, responsibility and a patient-centric approach.”
Castro agreed that the importance of this role is evident as AI becomes a pivotal part of health care.
“A chief AI officer can oversee the use and development of AI technologies, ensuring that they are leveraged effectively for patient care, data management and other applications,” he said.
Daily functions of a chief AI officer
A chief AI officer has several core functions, according to Castro.
GOOGLE CLOUD AND MAYO CLINIC SET TO DISRUPT HEALTH CARE WITH GENERATIVE AI
Educating the health care community is one focus.
“This person should ensure that staff and stakeholders are informed about AI technologies and their applications,” he said.
Developing and implementing the algorithms used in the AI solutions is also a key part of the job, said Castro.
The CAIO must understand and analyze data derived from AI to inform decision-making and strategy.
“This role also entails managing the use of AI across the organization, ensuring that it aligns with regulatory standards and organizational goals,” Castro said.
Strategy development is also inherent to the chief AI officer’s job.
NEW AI-GENERATED COVID DRUG ENTERS PHASE I CLINICAL TRIALS: ‘EFFECTIVE AGAINST ALL VARIANTS’
“This involves formulating strategies for the implementation and utilization of AI in various health care aspects, such as patient care, data analysis and operational efficiency,” said Castro.
In Patel’s case, he said the heart of his new role is to “ensure that our AI direction seamlessly integrates with and reinforces our organizational values.”
Some of Patel’s day-to-day functions include:
Overseeing the identification, vetting and integration of AI solutions for various clinical and administrative functionsUsing AI to improve diagnostic accuracy, optimize treatment paths and enhance the patient experienceEngaging with stakeholders to gather insights, feedback and expertiseEnsuring that all AI algorithms are transparent, free from biases, and designed in the best interests of patients and their communitiesFacilitating training sessions, workshops and awareness campaigns to ensure that everyone is up-to-date and empowered to harness AI’s potential
“In essence, my role as chief AI officer is both strategic and operational,” Patel told Fox News Digital.
“It’s about setting a vision rooted in our values while ensuring the tactical execution of AI projects that drive value to our patients.”
One of the tech team’s biggest recent contributions is an AI model that proactively assesses a person’s risk of a heart attack, Patel noted.
AS AI SHOWS UP IN DOCTORS’ OFFICES, MOST PATIENTS ARE GIVING PERMISSION AS EXPERTS ADVISE CAUTION
“This model uses data from chest CT exams — often conducted for unrelated health issues, such as COVID or lung nodules — and identifies future heart disease risk, which unfortunately even expert physicians can’t discern from the scan,” he said.
“The model helps cardiologists prevent potential heart attacks rather than treating them reactively.”
Mayo Clinic has also developed AI models that predict the prognosis of patients with diseases such as colon cancer, detect risks of future cancers using existing medical records, and predict 30-day hospital readmission or hospital-acquired infections, Patel said.
“AI can pinpoint details that make a significant difference in diagnosis and treatment.”
“Our focus is not only to develop these AI models, but to ensure that the benefits of these models reach patients swiftly,” he added.
Key benefits of AI in health care
Patel said he views AI as a “powerful instrument” that helps magnify physicians’ capabilities rather than replacing them.
“One of AI’s primary strengths is its ability to recognize patterns that might escape the human eye,” he said.
“Whether it’s intricate anomalies in medical imaging or subtle patterns in patient histories, AI can pinpoint details that make a significant difference in diagnosis and treatment.”
The technology also helps providers by sifting through and analyzing vast volumes of information, far more than what would be humanly possible, Patel said.
It also automates mundane and routine tasks, allowing health care professionals to redirect their focus to the patient, he noted.
AI TECH AIMS TO HELP PATIENTS CATCH DISEASE EARLY, EVEN ‘REVERSE THEIR BIOLOGICAL AGE’
Early risk detection is another key benefit.
“AI tools can predict potential health risks by analyzing a combination of genetic, behavioral and environmental factors, facilitating early interventions and potentially saving lives,” Patel said.
As well, AI can help enable the delivery of personalized medicine and proactive preventative care, he noted.
“By analyzing individual genetic makeup combined with lifestyle and environmental factors, treatments can be tailored to the unique needs of each patient,” Patel said.
“And by predicting potential health issues before they manifest, we can guide patients on preventive measures, fundamentally changing our approach from cure to prevention.”
Potential risks and limitations
AI in health care also presents challenges and limitations, Patel acknowledged.
Because AI is a branch of science, it requires rigorous evaluation before it can be applied by doctors, he said.
AI HEART SCAN AIMS TO CATCH BLOCKAGES YEARS BEFORE SYMPTOMS: ‘UNBELIEVABLE BREAKTHROUGH’
“This ensures that we’re not just implementing technology for the sake of innovation, but are truly enhancing patient care in a tangible, evidence-based manner.”
AI models also run the risk of bias, he warned.
“By recognizing AI’s limitations and actively working to address them, we can harness AI’s potential while safeguarding the core values of our health care system.”
“AI models are, by nature, a reflection of the data they’re trained on,” he said. “If this data contains biases — whether racial, gender-based or from other sources — the models may perpetuate these biases.”
There is the additional risk that humans will become overly reliant on AI, leading to a phenomenon called “automation bias.”
“Essentially, this means giving undue weight to AI-generated results without adequate human scrutiny,” Patel said.
“In health care, understanding the ‘why’ behind a diagnosis or recommendation is as crucial as the result,” he said. “As providers, we must always contextualize AI outputs within the broader patient picture, leveraging our clinical judgment and experience.”
ARTIFICIAL INTELLIGENCE HELPS DOCTORS PREDICT PATIENTS’ RISK OF DYING, STUDY FINDS: ‘SENSE OF URGENCY’
It’s important to protect data privacy and security as well, Patel noted, due to the large amounts of information that must be fed to AI models.
While AI’s capabilities are “immense and ever-growing,” Patel emphasized that AI’s role is to be an ally.
CLICK HERE TO SIGN UP FOR OUR HEALTH NEWSLETTER
“Humans caring for humans is the bedrock of health care — AI strengthens that foundation, but doesn’t replace it,” he said.
“AI can offer insights and assist in decision-making, but human touch, intuition and empathy cannot be replicated by algorithms.”
CLICK HERE TO GET THE FOX NEWS APP
While AI promises a “new frontier” in health care — Patel calls for a balance of “enthusiasm and caution.”
“By recognizing AI’s limitations and actively working to address them, we can harness AI’s potential while safeguarding the core values of our health care system.”
For more Health articles, visit www.foxnews.com/health.
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Mayo Clinic sees AI as ‘transformative force’ in health care, appoints Dr. Bhavik Patel as chief AI officer
|
Mayo Clinic sees AI transformative force health care, appoints Dr. Bhavik Patel chief AI officer WFIN Local News Tuesday, October 10, 2023 WFIN Local News News, Sports Weather Shows Good Mornings Brian Kilmeade Clay Buck Dave Ramsey Tradio The Car Show Program Schedule News Local News Powered Visit Findlay Local News Videos AgriBusiness FOX Health News FOX National News FOX Political News FOX Science News FOX Technology News FOX Travel News FOX World News WAZE Traffic Center Sports Local Sports High School Scoreboard Powered Owens Community College Coaches Corner Game Audio Archive Cleveland Guardians School Delays Weather Weather ForecastPowered Visit Findlay Local Text Alerts Local Cancellations Submit Cancellation River Levels Community Local Cancellations Submit Cancellation Local Text Alerts Riverside Concerts Pump Patrol Contests Contests Contest Rules Advertising Us Advantage Partners Pay Your Bill Employment Listen Listen Live Mobile App Alexa Skill FOX Health News Mayo Clinic sees AI transformative force health care, appoints Dr. Bhavik Patel chief AI officer October 10, 2023 As artificial intelligence gains everwidening role medical field, Mayo Clinic recently appointed new executive lead health systems efforts area. Radiologist Bhavik Patel, M.D., named chief artificial intelligence officer CAIO Mayo Clinic Arizona. Before joining clinic 2021, Patel practiced Duke University Medical Center Stanford University Medical Center. Dr. Richard Gray, CEO Mayo Clinic Arizona, announced hire LinkedIn, noting organization begun scratch surface AIs potential medicine. WHAT IS ARTIFICIAL INTELLIGENCE AI? In new role, Patel lead Mayo Clinics Advanced AI Innovation Hub. Hell focus expanding AIbased solutions organization, according press release. A growing number health care organizations hiring individuals highlevel AI roles, said Dr. Harvey Castro, Dallas, Texasbased emergency medicine physician AI expert challenge them. We likely huge increase roles, AI doctors space, Castro told Fox News Digital. ARTIFICIAL INTELLIGENCE: FREQUENTLY ASKED QUESTIONS ABOUT AI Approximately 5,000 U.S. doctors AI data science knowledge undergoing formal training fields, estimated. Why chief AI officer role important? In interview Fox News Digital, Patel described AI transformative force potential revolutionize health care delivery, research operations. Given AIs sweeping impact fast growth, Mayo Clinics new CAIO said need dedicated leadership position ensure clear direction alignment broader organizational goals. The chief AI officer responsible balancing technologys risks benefits, Patel noted. The chief AI officer technocrat, visionary leader. While AI brings forth myriad benefits, carries inherent risks, said. A CAIO provides necessary oversight ensure implementation AI ethical, responsible line regulatory guidelines. A chief AI officer bridges knowledge gap, said, helping teams understand harness technologys power. ARTIFICIAL INTELLIGENCE HELPS DOCTORS PREDICT PATIENTS RISK OF DYING, STUDY FINDS: SENSE OF URGENCY The role important terms maximizing use resources, fostering collaboration departments keeping future health tech trends, Patel added. Their expertise critical ensuring organization remains cutting edge technological advancements safeguarding patient welfare, said. In essence, chief AI officer technocrat, visionary leader, ensuring organization navigates AIdriven paradigm shift health care agility, responsibility patientcentric approach. Castro agreed importance role evident AI pivotal health care. A chief AI officer oversee use development AI technologies, ensuring leveraged effectively patient care, data management applications, said. Daily functions chief AI officer A chief AI officer core functions, according Castro. GOOGLE CLOUD AND MAYO CLINIC SET TO DISRUPT HEALTH CARE WITH GENERATIVE AI Educating health care community focus. This person ensure staff stakeholders informed AI technologies applications, said. Developing implementing algorithms AI solutions key job, said Castro. The CAIO understand analyze data derived AI inform decisionmaking strategy. This role entails managing use AI organization, ensuring aligns regulatory standards organizational goals, Castro said. Strategy development inherent chief AI officers job. NEW AIGENERATED COVID DRUG ENTERS PHASE I CLINICAL TRIALS: EFFECTIVE AGAINST ALL VARIANTS This involves formulating strategies implementation utilization AI health care aspects, patient care, data analysis operational efficiency, said Castro. In Patels case, said heart new role ensure AI direction seamlessly integrates reinforces organizational values. Some Patels daytoday functions include: Overseeing identification, vetting integration AI solutions clinical administrative functionsUsing AI improve diagnostic accuracy, optimize treatment paths enhance patient experienceEngaging stakeholders gather insights, feedback expertiseEnsuring AI algorithms transparent, free biases, designed best interests patients communitiesFacilitating training sessions, workshops awareness campaigns ensure uptodate empowered harness AIs potential In essence, role chief AI officer strategic operational, Patel told Fox News Digital. Its setting vision rooted values ensuring tactical execution AI projects drive value patients. One tech teams biggest recent contributions AI model proactively assesses persons risk heart attack, Patel noted. AS AI SHOWS UP IN DOCTORS OFFICES, MOST PATIENTS ARE GIVING PERMISSION AS EXPERTS ADVISE CAUTION This model uses data chest CT exams conducted unrelated health issues, COVID lung nodules identifies future heart disease risk, unfortunately expert physicians discern scan, said. The model helps cardiologists prevent potential heart attacks treating reactively. Mayo Clinic developed AI models predict prognosis patients diseases colon cancer, detect risks future cancers existing medical records, predict 30day hospital readmission hospitalacquired infections, Patel said. AI pinpoint details significant difference diagnosis treatment. Our focus develop AI models, ensure benefits models reach patients swiftly, added. Key benefits AI health care Patel said views AI powerful instrument helps magnify physicians capabilities replacing them. One AIs primary strengths ability recognize patterns escape human eye, said. Whether intricate anomalies medical imaging subtle patterns patient histories, AI pinpoint details significant difference diagnosis treatment. The technology helps providers sifting analyzing vast volumes information, far humanly possible, Patel said. It automates mundane routine tasks, allowing health care professionals redirect focus patient, noted. AI TECH AIMS TO HELP PATIENTS CATCH DISEASE EARLY, EVEN REVERSE THEIR BIOLOGICAL AGE Early risk detection key benefit. AI tools predict potential health risks analyzing combination genetic, behavioral environmental factors, facilitating early interventions potentially saving lives, Patel said. As well, AI help enable delivery personalized medicine proactive preventative care, noted. By analyzing individual genetic makeup combined lifestyle environmental factors, treatments tailored unique needs patient, Patel said. And predicting potential health issues manifest, guide patients preventive measures, fundamentally changing approach cure prevention. Potential risks limitations AI health care presents challenges limitations, Patel acknowledged. Because AI branch science, requires rigorous evaluation applied doctors, said. AI HEART SCAN AIMS TO CATCH BLOCKAGES YEARS BEFORE SYMPTOMS: UNBELIEVABLE BREAKTHROUGH This ensures implementing technology sake innovation, truly enhancing patient care tangible, evidencebased manner. AI models run risk bias, warned. By recognizing AIs limitations actively working address them, harness AIs potential safeguarding core values health care system. AI models are, nature, reflection data theyre trained on, said. If data contains biases racial, genderbased sources models perpetuate biases. There additional risk humans overly reliant AI, leading phenomenon called automation bias. Essentially, means giving undue weight AIgenerated results adequate human scrutiny, Patel said. In health care, understanding diagnosis recommendation crucial result, said. As providers, contextualize AI outputs broader patient picture, leveraging clinical judgment experience. ARTIFICIAL INTELLIGENCE HELPS DOCTORS PREDICT PATIENTS RISK OF DYING, STUDY FINDS: SENSE OF URGENCY Its important protect data privacy security well, Patel noted, large amounts information fed AI models. While AIs capabilities immense evergrowing, Patel emphasized AIs role ally. CLICK HERE TO SIGN UP FOR OUR HEALTH NEWSLETTER Humans caring humans bedrock health care AI strengthens foundation, doesnt replace it, said. AI offer insights assist decisionmaking, human touch, intuition empathy replicated algorithms. CLICK HERE TO GET THE FOX NEWS APP While AI promises new frontier health care Patel calls balance enthusiasm caution. By recognizing AIs limitations actively working address them, harness AIs potential safeguarding core values health care system. For Health articles, visit Abortion demand: These 6 states allow women pregnancyending drugs phone online Hamas attacks link Holocaust, Squad Dem flies Palestinian flag outside office headlines Share This Post: WFIN Local News Audio Advertising PartnersLinks Interest WFIN News Videos Click More News Videos Weather Partner Advantage Partners OUR MISSION: To electronic media choice information, entertainment, meeting community needs OUR INFORMATION WFIN Studio P.O. Box 1507 Findlay, Ohio 458391507 551 Lake Cascades Parkway Findlay, Ohio 45840 Phone: 4194224545 Us Blanchard River Broadcasting Company A Division The Findlay Publishing Company WFIN WKXA 106.3 The Fox Please read Privacy Statement Commenting Policy Public FileIf need help accessing file disability, contact [emailprotected] EEO FCC Applications 2023 WFIN Local News. . 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Lawyers blame ChatGPT for tricking them into citing bogus case law - Boston News, Weather, Sports | WHDH 7News
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Lawyers blame ChatGPT for tricking them into citing bogus case law
By Associated Press
June 9, 2023
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NEW YORK (AP) — Two apologetic lawyers responding to an angry judge in Manhattan federal court 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 U.S. District 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 (c) 2022 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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Lawyers blame ChatGPT tricking citing bogus case law Boston News, Weather, Sports WHDH 7News Skip content Boston News, Weather, Sports WHDH 7News News Local Regional On Air Live Stream Breaking News Live Stream US World 7 Investigates Politics Entertainment Must See Area Traffic Solve It 7 7News Team 7News Social Media Weather 7 Day Forecast Video Forecast Interactive Radar Weather Blog Watches Warnings Closings Storm Closings Delays How register schoolorganization closings delays Sports All sports Red Sox Patriots Bruins Celtics CW56 Community Calendar Internships Advertise With Us Employment Opportunities Us News Tips Mobile Apps WHDH TV Listings CW56 TV Listing Live Lawyers blame ChatGPT tricking citing bogus case law By Associated Press June 9, 2023 Share File photo NEW YORK AP Two apologetic lawyers responding angry judge Manhattan federal court blamedChatGPTThursday 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 U.S. District 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 priorityalongside 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. c 2022 The Associated Press. . This material published, broadcast, rewritten, redistributed. Join Newsletter latest news right inbox Email address Submit Trending 7WEATHER: Spotty Saturday Storm, Sunny Sunday Police investigating fatal crash Salem involving pickup truck, scooter No hazardous materials Jamaica Plain thrift store emergency response Blue Line free upcoming Sumner Tunnel closure Child victims stabbing attack France critical stable condition, president visits WHDH TV 7NEWS WLVI TV CW56 Sunbeam Television Corp 7 Bulfinch Place Boston, MA 02114 News Tips: 800 280TIPS Tell Hank: 855 247HANK Join Mobile Apps News Tips WHDH TV Listings CW56 TV Listing Community Calendar Advertise With Us Us Internships Employment Opportunities Childrens Programming Closed Captioning Concerns EEO Public File WHDH FCC Public File WLVI FCC Public File All content 2000 2023 WHDHTV. WHDH broadcast educational informational programming children, file quarterly reports FCC detailing stations outreach children. The public view reports going clicking FCC Public File, visiting FCCs website . 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https://wkow.com/2021/04/21/eu-proposes-rules-for-high-risk-artificial-intelligence-uses/
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EU proposes rules for high-risk artificial intelligence uses
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EU proposes rules for high-risk artificial intelligence uses
New
April 21, 2021
6:23 am
Associated Press
National news from the Associated Press
LONDON (AP) — European Union officials have unveiled proposals for reining in high-risk uses of artificial intelligence such as live facial scanning that could threaten people’s safety or rights. The draft regulations from the EU’s executive commission made public on Wednesday include rules on the use of the expanding technology in activities such as choosing school, job or loan applicants. They also would ban artificial intelligence in a few situations, such as “social scoring” and systems used to manipulate human behavior. The proposals are the 27-nation bloc’s latest move to maintain its role as the standard-bearer for technology regulation. EU officials say they want to balance the need to protect data privacy against the need to encourage innovation.
Associated Press
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EU proposes rules highrisk artificial intelligence uses tornado hurricane strongtstorms wintrymix freezingrain freezingdrizzle lightrain rain flurries snow blowingsnow sleet fog wind cloudy mostlycloudynight partlycloudynight partlycloudy clearnight sun mostlyclearnight mostlysunny isolatedtstorms scatteredtstorms heavyrain scatteredsnow heavysnow default scatteredshowersnight scatteredsnownight scatteredtstormsnight mostlycloudy chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Skip Content Middleton 28 Watertown 29 Janesville 27 Baraboo 26 Madison 26 Home News Latest News State news National news Politics Coronavirus Daily COVID update Crime Digging Deeper Capital City Sunday Wake Up Wisconsin Meet WKOW news team Coronavirus Latest Coronavirus Vaccine Resources Daily COVID update Weather Latest Weather Interactive Radar Weather Service Alerts Closings Delays 27 Traffic Tracker Allergy Report Dog Walk Forecast WKOWs 4 Degree Guarantee Rain Totals Snow Totals 27 StormTrack team Sports Latest Sports Badgers Packers Brewers WIAA Magic March Magic March Live Coverage High School Sports Meet WKOW sports team Watch WKOW Live Streaming Video TV Listings 27.1 ABC Network 27.2 MeTV 27.3 Decades 27.4 Court TV 27.5 Justice Network ABC News livestream Watch ABC Discover Wisconsin Video Archive Things Do Miss RemarkAble Contests Midday Madison WKOW directory Sign Email Alerts PSA policy Advertise WKOW Advertiser Services Careers WKOW Quincy Media Careers Download apps EU proposes rules highrisk artificial intelligence uses New April 21, 2021 6:23 Associated Press National news Associated Press LONDON AP European Union officials unveiled proposals reining highrisk uses artificial intelligence live facial scanning threaten peoples safety rights. The draft regulations EUs executive commission public Wednesday include rules use expanding technology activities choosing school, job loan applicants. They ban artificial intelligence situations, social scoring systems manipulate human behavior. The proposals 27nation blocs latest maintain role standardbearer technology regulation. EU officials want balance need protect data privacy need encourage innovation. Associated Press More Stories Indonesian military says submarine missing 53 board April 21, 2021 6:35 Queen Elizabeth expresses thanks support kindness April 21, 2021 6:34 First batch COVID vaccines lands oppositionheld Syria April 21, 2021 6:33 German lawmakers vote emergency brake virus rules April 21, 2021 6:28 27 STORM TRACK WEATHER Spotty mix today localized coating snow possible Wintry conditions stick tonight ahead warm NA Closings Delays CONNECT WITH 27 NEWSWATCH WKOW WKOW 27 5727 Tokay Blvd. Madison, WI 53719 News Tips: 6082732727 news Careers Advertise Advertiser Services FCC Public File Public File Help EEO Report Closed Captioning FCC Applications Connect 27 NewsLooking something? All content 2000 2021, WKOW Television, . . Ad Choices Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset You outdated browser. Please upgrade best experience.
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https://wtmj.com/entertainment/2022/09/19/immersive-claude-monet-exhibit-planned-for-nyc-this-fall-3/
| 2022-09-19T00:00:00 |
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Immersive Claude Monet exhibit planned for NYC this fall - WTMJ
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Immersive Claude Monet exhibit planned for NYC this fall - WTMJ
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Immersive Claude Monet exhibit planned for NYC this fall
by
AP News
September 19, 2022
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AP Entertainment, AP News, Entertainment
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By MARK KENNEDY
AP Entertainment Writer
NEW YORK (AP) — Acres of water lilies will bloom on Wall Street this fall, at least digitally.
A massive, immersive exhibition celebrating French artist Claude Monet will make its U.S. debut in downtown New York starting in November, promising a multisensory experience that puts visitors as close to inside his iconic flower paintings as possible.
“Monet’s Garden: The Immersive Experience” will splash the Impressionist pioneer’s paintings across walls and floors of a spacious, one-time bank building and boost the effect by adding scents, music and narration in multiple language.
“To be able to address more than just two senses I think will immerse people a bit more,” said Dr. Nepomuk Schessl, producer of the exhibition. “We certainly hope it’s going to be the next big thing.”
Visitors will be greeted by aromas of lavender and water lilies wafting in the air and learn much about Monet, who during his long life evolved from a gifted but slightly conventional landscape painter churning out realistic images to a painter whose feathery brushstrokes captured shifting light, atmosphere and movement.
“He was living right at the moment when photography was invented. So the whole world of art changed,” said Schessl of Monet, who lived from 1840-1926. “Painting was not needed for documentary reasons anymore.”
The exhibit will offer many of Monet’s works, which vary from the rocky coastline of Normandy to haystacks and poplars, to the Japanese bridge and water lily-filled pond at his home in Giverny.
The exhibit begins Nov. 1 at the Seamen’s Bank Building at 30 Wall Street and runs until Jan. 8. Tickets are on sale now, and Schessl hopes it will tour the U.S. in 2023.
The concept for “Monet’s Garden” was developed by the Swiss creative lab Immersive Art AG in cooperation with Alegria Konzert GmbH. It has been shown in European cities such as Berlin, Zurich, Vienna, Hamburg and London.
In some ways, Schessl thinks a massive, 360-degree presentation of Monet’s works fits with the artist’s own intentions. After all, some of his paintings were intentionally massive.
“He wanted the spectator to completely immerse himself or herself into the painting,” he said. “Maybe it’s a little bit presumptuous, but I think that if he had our opportunity, he might have done it.”
“Monet’s Garden” comes a year after dueling traveling immersive exhibits of Van Gogh arrived in New York and also married his work with technology. Gustav Klimt’s paintings have also been made immersive.
Schessl said technology — especially stronger processing power and high tech LCD laser projectors — make these immersive exhibits possible. He admits to checking out rival shows to ensure his team stays cutting edge, but he adheres to one rule.
“The content needs to be the star. The technology is our means to achieve something, but it never should only be the technology,” he said.
___
Mark Kennedy is at http://twitter.com/KennedyTwits
Copyright 2022 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.
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Immersive Claude Monet exhibit planned for NYC this fall
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Immersive Claude Monet exhibit planned NYC fall WTMJ About Advertise Careers EEO PUBLIC FILE REPORT FCC Public File FCC Applications Terms Use Monday, September 19, 2022 Home News Local National Coronavirus Featured Stories Decision Wisconsin Guest Editorials Weather Closings Delays Flight Status Interactive Radar Watches Warnings Traffic Construction Updates Sports Green Bay Packers Green Gold Podcast Second Screen Milwaukee Brewers Brewers Extra Innings First Pitch Milwaukee Bucks Bucks Talk Bucks Flagship Podcast NCAA Extra Points Shows Wisconsins Morning News Steve Scaffidi Jeff Wagner Wisconsins Afternoon News WTMJ Nights Wisconsins Weekend Morning News WTMJ Conversations Reporters Notebook Featured Shows Accunet Mortgage Realty Show Drake Associates Retirement Ready Show Every Day Health Fix It Show Hired The GKB Recruitment Show Money Talk, The Annex Wealth Management Show Travel Wisconsin Podcasts The Steve Scaffidi Show Jeff Wagner Podcast WTMJ Extra WTMJ Nights Green Gold Podcast Brewers Extra Innings Podcast First Pitch Bucks Flagship Podcast Features Wagners Home Improvement Showcase Annex Wealth Management WEBINAR Navigating The Markets 2022 Wisconsin State Fair Cream PuffaPalooza 2022 WTMJ Classic WTMJ Cares Every Day Health Spotlight San Antonio Holiday John Mercure Collette Contests LISTEN LIVE No Result View All Result Home News Local National Coronavirus Featured Stories Decision Wisconsin Guest Editorials Weather Closings Delays Flight Status Interactive Radar Watches Warnings Traffic Construction Updates Sports Green Bay Packers Green Gold Podcast Second Screen Milwaukee Brewers Brewers Extra Innings First Pitch Milwaukee Bucks Bucks Talk Bucks Flagship Podcast NCAA Extra Points Shows Wisconsins Morning News Steve Scaffidi Jeff Wagner Wisconsins Afternoon News WTMJ Nights Wisconsins Weekend Morning News WTMJ Conversations Reporters Notebook Featured Shows Accunet Mortgage Realty Show Drake Associates Retirement Ready Show Every Day Health Fix It Show Hired The GKB Recruitment Show Money Talk, The Annex Wealth Management Show Travel Wisconsin Podcasts The Steve Scaffidi Show Jeff Wagner Podcast WTMJ Extra WTMJ Nights Green Gold Podcast Brewers Extra Innings Podcast First Pitch Bucks Flagship Podcast Features Wagners Home Improvement Showcase Annex Wealth Management WEBINAR Navigating The Markets 2022 Wisconsin State Fair Cream PuffaPalooza 2022 WTMJ Classic WTMJ Cares Every Day Health Spotlight San Antonio Holiday John Mercure Collette Contests LISTEN LIVE No Result View All Result No Result View All Result Immersive Claude Monet exhibit planned NYC fall AP News September 19, 2022 AP Entertainment, AP News, Entertainment Share FacebookShare TwitterEmail By MARK KENNEDY AP Entertainment Writer NEW YORK AP Acres water lilies bloom Wall Street fall, digitally. A massive, immersive exhibition celebrating French artist Claude Monet U.S. debut downtown New York starting November, promising multisensory experience puts visitors close inside iconic flower paintings possible. Monets Garden: The Immersive Experience splash Impressionist pioneers paintings walls floors spacious, onetime bank building boost effect adding scents, music narration multiple language. To able address senses I think immerse people bit more, said Dr. Nepomuk Schessl, producer exhibition. We certainly hope going big thing. Visitors greeted aromas lavender water lilies wafting air learn Monet, long life evolved gifted slightly conventional landscape painter churning realistic images painter feathery brushstrokes captured shifting light, atmosphere movement. He living right moment photography invented. So world art changed, said Schessl Monet, lived 18401926. Painting needed documentary reasons anymore. The exhibit offer Monets works, vary rocky coastline Normandy haystacks poplars, Japanese bridge water lilyfilled pond home Giverny. The exhibit begins Nov. 1 Seamens Bank Building 30 Wall Street runs Jan. 8. Tickets sale now, Schessl hopes tour U.S. 2023. The concept Monets Garden developed Swiss creative lab Immersive Art AG cooperation Alegria Konzert GmbH. It shown European cities Berlin, Zurich, Vienna, Hamburg London. In ways, Schessl thinks massive, 360degree presentation Monets works fits artists intentions. After all, paintings intentionally massive. He wanted spectator completely immerse painting, said. Maybe little bit presumptuous, I think opportunity, it. Monets Garden comes year dueling traveling immersive exhibits Van Gogh arrived New York married work technology. Gustav Klimts paintings immersive. Schessl said technology especially stronger processing power high tech LCD laser projectors immersive exhibits possible. He admits checking rival shows ensure team stays cutting edge, adheres rule. The content needs star. The technology means achieve something, technology, said. ___ Mark Kennedy 2022 The Associated Press. . This material published, broadcast, rewritten redistributed permission. Previous Post Immersive Claude Monet exhibit planned NYC fall Next Post AP Top Entertainment News 10:16 a.m. EDT AP News Stay Connected 22.3k Followers 1k Follower 643 rs Most Popular No Content Available For 90 years, WTMJAM Wisconsins Radio Station. Home News Weather Traffic Sports Shows Podcasts Features Careers Contests Recent News GOPs electionyear standing independents risk September 19, 2022 How student loan refund paid pandemic September 19, 2022 About Advertise Careers EEO PUBLIC FILE REPORT FCC Public File FCC Applications Terms Use 2022 Good Karma Brands Milwaukee, LLC. 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] | 1 | 5,172 |
https://wtop.com/news/2023/04/insider-qa-openai-cto-mira-murati-on-shepherding-chatgpt/
| 2023-04-25T00:00:00 |
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Insider Q&A: OpenAI CTO Mira Murati on shepherding ChatGPT - WTOP News
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Insider Q&A: OpenAI CTO Mira Murati on shepherding ChatGPT - WTOP News
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Home » Latest News » Insider Q&A: OpenAI CTO… Insider Q&A: OpenAI CTO Mira Murati on shepherding ChatGPT
The Associated Press
April 24, 2023, 3:17 PM
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OpenAI was building a reputation in the artificial intelligence field but wasn’t a household name when Mira Murati joined the…
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OpenAI was building a reputation in the artificial intelligence field but wasn’t a household name when Mira Murati joined the nonprofit research lab in 2018.
Soon after, the San Francisco lab started a major transformation. It turned itself into a business that’s attracted worldwide attention as the maker of ChatGPT.
Now its chief technology officer, Murati leads OpenAI’s research, product and safety teams. She’s led the development and launch of its AI models including ChatGPT, the image-generator DALL-E and the newest, GPT-4.
She spoke with The Associated Press about AI safeguards and the company’s vision for the futuristic concept of artificial general intelligence, known as AGI. The interview has been edited for length and clarity.
Q: What does artificial general intelligence mean for OpenAI?
A: By artificial general intelligence, we usually mean highly autonomous systems that are capable of producing economic output, significant economic output. In other words, systems that can generalize across different domains. It’s human-level capability. OpenAI’s specific vision around it is to build it safely and figure out how to build it in a way that’s aligned with human intentions, so that the AI systems are doing the things that we want them to do, and that it maximally benefits as many people out there as possible, ideally everyone.
Q: Is there a path between products like GPT-4 and AGI?
A: We’re far from the point of having a safe, reliable, aligned AGI system. Our path to getting there has a couple of important vectors. From a research standpoint, we’re trying to build systems that have a robust understanding of the world similarly to how we do as humans. Systems like GPT-3 initially were trained only on text data, but our world is not only made of text, so we have images as well and then we started introducing other modalities. The other angle has been scaling these systems to increase their generality. With GPT-4, we’re dealing with a much more capable system, specifically from the angle of reasoning about things. This capability is key. If the model is smart enough to understand an ambiguous direction or a high-level direction, then you can figure out how to make it follow this direction. But if it doesn’t even understand that high-level goal or high-level direction, it’s much harder to align it. It’s not enough to build this technology in a vacuum in a lab. We really need this contact with reality, with the real world, to see where are the weaknesses, where are the breakage points, and try to do so in a way that’s controlled and low risk and get as much feedback as possible.
Q: What safety measures do you take?
A: We think about interventions at each stage. We redact certain data from the initial training on the model. With DALL-E, we wanted to reduce harmful bias issues we were seeing. We adjusted the ratio of female and male images in the training dataset. But you have to be very careful because you might create some other imbalance. You have to constantly audit. In that case, we got a different bias because a lot of these images were of a sexual nature. So then you have to adjust it again and be very careful about every time you make an intervention, seeing what else is being disrupted. In the model training, with ChatGPT in particular, we did reinforcement learning with human feedback to help the model get more aligned with human preferences. Basically what we’re trying to do is amplify what’s considered good behavior and then de-amplify what’s considered bad behavior.
Q: Should these systems be regulated?
A: Yeah, absolutely. These systems should be regulated. At OpenAI, we’re constantly talking with governments and regulators and other organizations that are developing these systems to, at least at the company level, agree on some level of standards. We’ve done some work on that in the past couple of years with large language model developers in aligning on some basic safety standards for deployment of these models. But I think a lot more needs to happen. Government regulators should certainly be very involved.
Q: A letter calling for a 6-month industry pause on building AI models more powerful than GPT-4 got a lot of attention. What do you think of the petition and its assumption about AI risks?
A: Look, I think that designing safety mechanisms in complex systems is hard. There is a lot of nuance here. Some of the risks that the letter points out are completely valid. At OpenAI, we’ve been talking about them very openly for years and studying them as well. I don’t think signing a letter is an effective way to build safety mechanisms or to coordinate players in the space. Some of the statements in the letter were just plain untrue about development of GPT-4 or GPT-5. We’re not training GPT-5. We don’t have any plans to do so in the next six months. And we did not rush out GPT-4. We took six months, in fact, to just focus entirely on the safe development and deployment of GPT-4. Even then, we rolled it out with a high number of guardrails and a very coordinated and slow rollout. It’s not easily accessible to everyone, and it’s certainly not open source. This is all to say that I think the safety mechanisms and coordination mechanisms in these AI systems and any complex technological system is difficult and requires a lot of thought, exploration and coordination among players.
Q: How much has OpenAI changed since you joined?
A: When I joined OpenAI, it was a nonprofit. I thought this was the most important technology that we will ever build as humanity and I really felt like a company with OpenAI’s mission would be most likely to make sure that it goes well. Over time, we changed our structure because these systems are expensive. They require a lot of funding. We made sure to structure the incentives in such a way that we would still serve the nonprofit mission. That’s why we have a “capped profit” structure. People at OpenAI are intrinsically motivated and mission-aligned and that hasn’t changed from the beginning. But over the course of five years, our thinking has evolved a lot when it comes to what’s the best way to deploy, what’s the safest way. That’s probably the starkest difference. I think it’s a good change.
Q: Did you anticipate the response to ChatGPT before its Nov. 30 release?
A: The underlying technology had been around for months. We had high confidence in the limitations of the model from customers that had already been using it via an API. But we made a few changes on top of the base model. We adapted it to dialog. Then we made that available to researchers through a new ChatGPT interface. We had been exploring it internally with a small, trusted group, and we realized the bottleneck was getting more information and getting more data from people. We wanted to expand it to more people out there in what we call a research preview, not a product. The intention was to gather feedback on how the model is behaving and use that data to improve the model and make it more aligned. We didn’t anticipate the degree to which people would be so captivated with talking to an AI system. It was just a research preview. The number of users and such, we didn’t anticipate that level of excitement.
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© 2023 The Associated Press. All rights reserved. This material may not be published, broadcast, written or redistributed.
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Insider Q&A: OpenAI CTO Mira Murati on shepherding ChatGPT
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Insider QA: OpenAI CTO Mira Murati shepherding ChatGPT WTOP News BREAKING: President Joe Biden launches 2024 reelection bid, betting experience, achievements voter concerns age Close alert. 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 Latest News Insider QA: OpenAI CTO Insider QA: OpenAI CTO Mira Murati shepherding ChatGPT The Associated Press April 24, 2023, 3:17 PM Share This: share facebook share twitter share email print OpenAI building reputation artificial intelligence field wasnt household Mira Murati joined Listen WTOP News Alexa Google Home WTOP App 103.5 FM OpenAI building reputation artificial intelligence field wasnt household Mira Murati joined nonprofit research lab 2018. Soon after, San Francisco lab started major transformation. It turned business thats attracted worldwide attention maker ChatGPT. Now chief technology officer, Murati leads OpenAIs research, product safety teams. Shes led development launch AI models including ChatGPT, imagegenerator DALLE newest, GPT4. She spoke The Associated Press AI safeguards companys vision futuristic concept artificial general intelligence, known AGI. The interview edited length clarity. Q: What artificial general intelligence mean OpenAI? A: By artificial general intelligence, usually mean highly autonomous systems capable producing economic output, significant economic output. In words, systems generalize different domains. Its humanlevel capability. OpenAIs specific vision build safely figure build way thats aligned human intentions, AI systems things want do, maximally benefits people possible, ideally everyone. Q: Is path products like GPT4 AGI? A: Were far point safe, reliable, aligned AGI system. Our path getting couple important vectors. From research standpoint, trying build systems robust understanding world similarly humans. Systems like GPT3 initially trained text data, world text, images started introducing modalities. The angle scaling systems increase generality. With GPT4, dealing capable system, specifically angle reasoning things. This capability key. If model smart understand ambiguous direction highlevel direction, figure follow direction. But doesnt understand highlevel goal highlevel direction, harder align it. Its build technology vacuum lab. We need contact reality, real world, weaknesses, breakage points, try way thats controlled low risk feedback possible. Q: What safety measures take? A: We think interventions stage. We redact certain data initial training model. With DALLE, wanted reduce harmful bias issues seeing. We adjusted ratio female male images training dataset. But careful create imbalance. You constantly audit. In case, got different bias lot images sexual nature. So adjust careful time intervention, seeing disrupted. In model training, ChatGPT particular, reinforcement learning human feedback help model aligned human preferences. Basically trying amplify whats considered good behavior deamplify whats considered bad behavior. Q: Should systems regulated? A: Yeah, absolutely. These systems regulated. At OpenAI, constantly talking governments regulators organizations developing systems to, company level, agree level standards. Weve work past couple years large language model developers aligning basic safety standards deployment models. But I think lot needs happen. Government regulators certainly involved. Q: A letter calling 6month industry pause building AI models powerful GPT4 got lot attention. What think petition assumption AI risks? A: Look, I think designing safety mechanisms complex systems hard. There lot nuance here. Some risks letter points completely valid. At OpenAI, weve talking openly years studying well. I dont think signing letter effective way build safety mechanisms coordinate players space. Some statements letter plain untrue development GPT4 GPT5. Were training GPT5. We dont plans months. And rush GPT4. We took months, fact, focus entirely safe development deployment GPT4. Even then, rolled high number guardrails coordinated slow rollout. Its easily accessible everyone, certainly open source. This I think safety mechanisms coordination mechanisms AI systems complex technological difficult requires lot thought, exploration coordination players. Q: How OpenAI changed joined? A: When I joined OpenAI, nonprofit. I thought important technology build humanity I felt like company OpenAIs mission likely sure goes well. Over time, changed structure systems expensive. They require lot funding. We sure structure incentives way serve nonprofit mission. Thats capped profit structure. People OpenAI intrinsically motivated missionaligned changed beginning. But course years, thinking evolved lot comes whats best way deploy, whats safest way. Thats probably starkest difference. I think good change. Q: Did anticipate response ChatGPT Nov. 30 release? A: The underlying technology months. We high confidence limitations model customers API. But changes base model. We adapted dialog. Then available researchers new ChatGPT interface. We exploring internally small, trusted group, realized bottleneck getting information getting data people. We wanted expand people research preview, product. The intention gather feedback model behaving use data improve model aligned. We didnt anticipate degree people captivated talking AI system. It research preview. The number users such, didnt anticipate level excitement. 2023 The Associated Press. . This material published, broadcast, written redistributed. 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https://wtop.com/white-house/2023/06/from-chatgpt-to-executive-orders-inside-the-white-houses-urgent-push-to-regulate-ai/
| 2023-07-11T00:00:00 |
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From ChatGPT to executive orders: Inside the White House’s urgent push to regulate AI - WTOP News
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From ChatGPT to executive orders: Inside the White House’s urgent push to regulate AI - WTOP News
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Home » White House » From ChatGPT to executive… From ChatGPT to executive orders: Inside the White House’s urgent push to regulate AI
CNN
June 20, 2023, 11:20 AM
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At the White House, the surge of interest in ChatGPT moved AI from the margins to a central priority.
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President Joe Biden waves as he walks to board Air Force One at Andrews Air Force Base, Md., Friday, June 16, 2023, on his way to Connecticut to speak at the National Safer Communities Summit. The summit will be attended by gun safety advocates, families impacted by gun violence and local leaders. (AP Photo/Susan Walsh)(AP/Susan Walsh)
President Joe Biden waves as he walks to board Air Force One at Andrews Air Force Base, Md., Friday, June 16, 2023, on his way to Connecticut to speak at the National Safer Communities Summit. The summit will be attended by gun safety advocates, families impacted by gun violence and local leaders. (AP Photo/Susan Walsh)(AP/Susan Walsh)
(CNN) — President Joe Biden huddled in the Oval Office with several of his top advisers in early April as an aide typed prompts into ChatGPT: Summarize the Supreme Court’s New Jersey v. Delaware ruling and turn it into a Bruce Springsteen song.
Weeks earlier, Biden had joked with Springsteen at the National Medal of Arts ceremony that the case, which centered on rights to the Delaware River, also gave his home state a claim to The Boss. Now, before the president’s eyes, the AI chatbot instantaneously began composing the lyrics in Springsteen’s style.
Like many Americans who have toyed with ChatGPT, the president was wowed.
By the end of the meeting, which also focused on AI’s impact on cybersecurity and jobs, he reminded the aides in the room – including his chief of staff Jeff Zients, deputy chief of staff Bruce Reed and top science adviser Dr. Arati Prabhakar – of what had already been clear inside the West Wing for weeks: AI should be a top priority.
Weeks earlier, explosion of ChatGPT propelled artificial intelligence into the public consciousness, triggering a flurry of hearings on Capitol Hill as AI industry leaders touted its revolutionary potential, but also warned of “the risk of extinction from AI.”
At the White House, the surge of interest in ChatGPT moved AI from the margins to a central priority.
That urgency is being welcomed in AI policy circles. Multiple people who have advised the White House on AI policy said that while the White House laid an important foundation last year with its Blueprint for an AI Bill of Rights, they were concerned that the administration was not devoting sufficient attention to AI policy. Those same people say it’s now clear the White House has shifted into a higher gear to meet the moment.
“If we had this conversation six months ago, my responses would be very different than today,” said a member of the National AI Advisory Committee, who pointed to a “wake-up call” inside the federal government since the explosion of ChatGPT.
Steered by the White House chief of staff’s office, senior administration officials have been meeting two to three times a week to advance AI policy work since earlier this spring, tackling AI on multiple fronts, from misinformation and cybersecurity to economic transformation and equity. AI has also become a consistent topic of conversation during the weekly Saturday strategy sessions between Biden’s senior-most advisers.
After dropping by a meeting of leading AI CEOs at the White House last month, Biden on Tuesday met with a group of AI experts and academics in San Francisco to get a non-industry perspective on the risks and opportunities of AI.
“I want to hear directly from the experts, and these are some of the world’s leading experts on this issue,” Biden said, noting that he hopes to hear about the “risks” and “promise” of artificial intelligence. He added that Vice President Kamala Harris will hold a summit on artificial intelligence next month focused on consumer protection.
Officials say they have been urgently laying the groundwork for several policy actions that will be unveiled this summer – including executive orders – to maximize the effect of existing regulations on AI, harness its potential and establish new guardrails for the booming, multi-faceted technology.
“This is not an area that you can take years to get your arms around or regulate. You’ve got to measure time in weeks,” Zients told CNN. “Speed is really important here. If one acts too slowly, you’re going to be behind by the time you take action, and your action is going to be leapfrogged by the technology. So, we have to act decisively and with speed and pull every lever we have to maximize the positive impact while minimizing any unintended consequences.”
Officials are especially mindful of Washington’s poor track record of swiftly tackling major technological change and the failure to regulate social media early on looms especially large. This time, most leading AI companies are calling for Washington to regulate their industry – albeit with different proposals and motives – and several legislative efforts are already underway.
Senior administration officials acknowledged that legislation will be needed to address some novel aspects and issues arising from AI, including the core technology, but they also believe they can and must begin to shape the regulatory framework through executive action.
Among the tasks officials have already embarked on, including creating an extensive inventory of government regulations that could be applied to AI and identifying where new regulations need to be created to fill the gaps, according to a senior administration official.
By next month, leading AI companies like Google, Microsoft and OpenAI are expected to announce privacy and safety commitments crafted in coordination with the White House, according to a senior administration official, who said the federal government will employ “appropriate methods to ensure companies live up to these commitments.”
This summer, the Office of Management and Budget is also expected to release long-awaited guidance for federal agencies on the use and procurement of AI technologies, leveraging the federal government’s status as a large client to shape the industry.
National security adviser Jake Sullivan and his team are also developing policies to respond to the cybersecurity risks associated with AI and coordinating with the G7 to establish international norms around AI.
Senior administration officials declined to divulge details of other forthcoming executive orders but said to expect additional actions over the summer months.
“It’s a matter of great urgency,” Prabhakar said in an interview. “It’s very active, very focused. People are moving faster than they normally do.”
Several people familiar with the White House’s work also credited Zients, who is steeped in the tech sector and whose arrival in February coincided with the explosion of ChatGPT, with the White House’s ramp-up. One senior administration official referred to him as an “accelerator” of the efforts.
What’s clear is that White House officials aren’t starting from scratch, building instead on their 73-page Blueprint for an AI Bill of Rights released in October, which officials have called a foundation for the administration’s approach to AI policy. Officials are also leaning on the risk management framework released earlier this year by the Department of Commerce’s National Institute of Standards and Technology.
This year, Biden signed an executive order directing federal agencies to root out bias in artificial technologies used by the federal government and combat algorithmic discrimination and the administration announced $140 million to launch new AI research institutes.
“I think what Chat GPT did … was to democratize the fear and spread the concerns much more visibly and broadly in a way that people who have been paying attention to this were aware of, but not the general public,” said Suresh Venkatasubramanian, an AI researcher at Brown University who worked at the White House’s Office of Science and Technology Policy until last summer. “Once that happened … I think everyone – Congress and the White House – went into high gear in thinking about this.”
That fear is something Biden has referenced directly, telling AI leaders who met with Harris and top White House officials last month that “what you’re doing has enormous potential and enormous danger.”
“I don’t think ever in the history of human endeavor has there been as fundamental potential technological change as is presented by artificial intelligence,” Biden said at a news conference earlier this month. “It is staggering. It is staggering.”
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
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From ChatGPT to executive orders: Inside the White House’s urgent push to regulate AI
|
From ChatGPT executive orders: Inside White Houses urgent push regulate AI 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 White House From ChatGPT executive From ChatGPT executive orders: Inside White Houses urgent push regulate AI CNN June 20, 2023, 11:20 AM Share This: share facebook share twitter share email print At White House, surge ChatGPT moved AI margins central priority. Listen WTOP News Alexa Google Home WTOP App 103.5 FM President Joe Biden waves walks board Air Force One Andrews Air Force Base, Md., Friday, June 16, 2023, way Connecticut speak National Safer Communities Summit. The summit attended gun safety advocates, families impacted gun violence local leaders. AP PhotoSusan WalshAPSusan Walsh President Joe Biden waves walks board Air Force One Andrews Air Force Base, Md., Friday, June 16, 2023, way Connecticut speak National Safer Communities Summit. The summit attended gun safety advocates, families impacted gun violence local leaders. AP PhotoSusan WalshAPSusan Walsh CNN President Joe Biden huddled Oval Office advisers early April aide typed prompts ChatGPT: Summarize Supreme Courts New Jersey v. Delaware ruling turn Bruce Springsteen song. Weeks earlier, Biden joked Springsteen National Medal Arts ceremony case, centered rights Delaware River, gave home state claim The Boss. Now, presidents eyes, AI chatbot instantaneously began composing lyrics Springsteens style. Like Americans toyed ChatGPT, president wowed. By end meeting, focused AIs impact cybersecurity jobs, reminded aides room including chief staff Jeff Zients, deputy chief staff Bruce Reed science adviser Dr. Arati Prabhakar clear inside West Wing weeks: AI priority. Weeks earlier, explosion ChatGPT propelled artificial intelligence public consciousness, triggering flurry hearings Capitol Hill AI industry leaders touted revolutionary potential, warned risk extinction AI. At White House, surge ChatGPT moved AI margins central priority. That urgency welcomed AI policy circles. Multiple people advised White House AI policy said White House laid important foundation year Blueprint AI Bill Rights, concerned administration devoting sufficient attention AI policy. Those people clear White House shifted higher gear meet moment. If conversation months ago, responses different today, said member National AI Advisory Committee, pointed wakeup inside federal government explosion ChatGPT. Steered White House chief staffs office, senior administration officials meeting times week advance AI policy work earlier spring, tackling AI multiple fronts, misinformation cybersecurity economic transformation equity. AI consistent topic conversation weekly Saturday strategy sessions Bidens seniormost advisers. After dropping meeting leading AI CEOs White House month, Biden Tuesday met group AI experts academics San Francisco nonindustry perspective risks opportunities AI. I want hear directly experts, worlds leading experts issue, Biden said, noting hopes hear risks promise artificial intelligence. He added Vice President Kamala Harris hold summit artificial intelligence month focused consumer protection. Officials urgently laying groundwork policy actions unveiled summer including executive orders maximize effect existing regulations AI, harness potential establish new guardrails booming, multifaceted technology. This area years arms regulate. Youve got measure time weeks, Zients told CNN. Speed important here. If acts slowly, youre going time action, action going leapfrogged technology. So, act decisively speed pull lever maximize positive impact minimizing unintended consequences. Officials especially mindful Washingtons poor track record swiftly tackling major technological change failure regulate social media early looms especially large. This time, leading AI companies calling Washington regulate industry albeit different proposals motives legislative efforts underway. Senior administration officials acknowledged legislation needed address novel aspects issues arising AI, including core technology, believe begin shape regulatory framework executive action. Among tasks officials embarked on, including creating extensive inventory government regulations applied AI identifying new regulations need created gaps, according senior administration official. By month, leading AI companies like Google, Microsoft OpenAI expected announce privacy safety commitments crafted coordination White House, according senior administration official, said federal government employ appropriate methods ensure companies live commitments. This summer, Office Management Budget expected release longawaited guidance federal agencies use procurement AI technologies, leveraging federal governments status large client shape industry. National security adviser Jake Sullivan team developing policies respond cybersecurity risks associated AI coordinating G7 establish international norms AI. Senior administration officials declined divulge details forthcoming executive orders said expect additional actions summer months. Its matter great urgency, Prabhakar said interview. Its active, focused. People moving faster normally do. Several people familiar White Houses work credited Zients, steeped tech sector arrival February coincided explosion ChatGPT, White Houses rampup. One senior administration official referred accelerator efforts. Whats clear White House officials arent starting scratch, building instead 73 Blueprint AI Bill Rights released October, officials called foundation administrations approach AI policy. Officials leaning risk management framework released earlier year Department Commerces National Institute Standards Technology. This year, Biden signed executive order directing federal agencies root bias artificial technologies federal government combat algorithmic discrimination administration announced 140 million launch new AI research institutes. I think Chat GPT democratize fear spread concerns visibly broadly way people paying attention aware of, general public, said Suresh Venkatasubramanian, AI researcher Brown University worked White Houses Office Science Technology Policy summer. Once happened I think Congress White House went high gear thinking this. That fear Biden referenced directly, telling AI leaders met Harris White House officials month youre enormous potential enormous danger. I dont think history human endeavor fundamental potential technological change presented artificial intelligence, Biden said news conference earlier month. It staggering. It staggering. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . This content republished permission CNN. Share This: share facebook share twitter share email print Related News Biden calls mutiny struggle Russian says US NATO played Plantbased courses millet, stuffed mushrooms White House state dinner menu India Biden administration moves restore endangered species protections dropped Trump Recommended All aboard Metrobar hosts grand opening railcar bar Northeast DC How Md. based public health program working health care accessible Latino communities Getting exercise reduce risk contracting illnesses 50 Related Categories: Government News US Politics News White House More WTOP 5425 Wisconsin Ave Chevy Chase, MD 20815 hello 202.895.5000 2023 WTOP. . This website intended users located European Economic Area. 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| 2,023 |
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https://www.01net.it/university-of-phoenix-hosts-educational-equity-webinar-on-leveraging-ai-to-promote-deib-in-the-workplace/
| 2023-08-29T00:00:00 |
en
|
University of Phoenix Hosts Educational Equity Webinar on Leveraging AI to Promote DEIB in the Workplace
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University of Phoenix Hosts Educational Equity Webinar on Leveraging AI to Promote DEIB in the Workplace
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Home Business Wire University of Phoenix Hosts Educational Equity Webinar on Leveraging AI to Promote...
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University of Phoenix Hosts Educational Equity Webinar on Leveraging AI to Promote DEIB in the Workplace
di Business Wire
29 Agosto 2023
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Webinar highlights the potential of AI to support an inclusive workplace culture and enrich educational experiences
PHOENIX–(BUSINESS WIRE)–University of Phoenix holding the newest webinar in its Educational Equity Webinar Series, titled “Leveraging AI to Promote DEIB in Workplaces and Higher Education,” on September 21, 2023, at 12 PM AZT, featuring Shayne Halls, president and CEO of the consulting firm Manifested Dreams, and a leader for more than 15 years the field of in Diversity, Equity, Inclusion and Belonging (DEIB). The webinar is designed to provide insight and guidance on the use of AI to create workplaces where everyone feels valued and to help enrich the educational experiences for students, faculty, and staff in colleges and universities.
“The time is right for a thoughtful and practical discussion regarding the potential impact of AI on DEIB efforts,” states Tondra Richardson, MBA, Director of Student Diversity & Inclusion at the University of Phoenix. We eagerly anticipate Mr. Hall’s insights and look forward to learning more about leveraging AI to support equity and inclusion across environments.”
The event is part of a public series intended for educators, diversity, equity, inclusion, and belonging (DEIB) practitioners, higher education leaders and administrators, employers, nonprofit organizations, government affiliates, and University of Phoenix faculty, staff, students, and alumni across the globe.
“Artificial intelligence is rapidly transforming the landscape in business and higher education,” shares Halls. “Helping professionals navigate this new landscape includes looking for opportunities to ensure that the tools we use are designed, implemented and managed in ways that help foster inclusion and belonging across all levels of an organization.”
The virtual discussion will examine the ways AI can impact DEIB initiatives, foster a more inclusive workplace culture, and enrich educational experiences in colleges and universities. From reducing bias in hiring processes to tailoring personalized learning journeys, the session will also examine AI’s capacity to augment human decision-making holds the promise of a more inclusive and equitable future.
Halls has spent his career committed to empowering corporate professionals and organizations to unlock the full potential of AI technology in their careers and business operations. With over 15 years of experience in Diversity, Equity, and Inclusion, he has honed his expertise to include artificial intelligence, creating a unique vision that drives innovation and fosters an inclusive environment. His passion for helping others navigate the complex world of AI led to the founding of his consulting firm Manifested Dreams, which offers exclusive one-on-one consultations and group sessions, ensuring clients are equipped with the knowledge and tools needed to stay ahead of the curve.
The discussion will be hosted by Tondra Richardson, MBA, director of Student Diversity & Inclusion and Saray Lopez, MBA, director, Student Diversity & Inclusion, both with the Office of Educational Equity (OEE) at University of Phoenix. The Educational Equity Webinar Series is part of a series of events with which the OEE engages aiming to foster cultural awareness, thought leadership and community alliances to promote and sustain educational equity and diversity initiatives. The OEE supports students and faculty year-round with programs like the Inclusive Leadership Summit and an internal offering for staff and faculty, The Inclusive Café.
Register for the webinar here.
Previous webinars can be accessed here.
About University of Phoenix
University of Phoenix is continually innovating to help working adults enhance their careers in a rapidly changing world. Flexible schedules, relevant courses, interactive learning, and Career Services for Life® commitment help students more effectively pursue career and personal aspirations while balancing their busy lives. For more information, visit phoenix.edu.
Contacts
Michele Mitchum
University of Phoenix
[email protected]
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University of Phoenix Hosts Educational Equity Webinar on Leveraging AI to Promote DEIB in the Workplace
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University Phoenix Hosts Educational Equity Webinar Leveraging AI Promote DEIB Workplace Apple Cloud IoT Intelligenza artificiale Le Voci dellAI Prodotti Hardware Mobile Networking e TLC 5G Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Webinar Aziende Aws Cisco Dell Hpe Google Ibm Meta Microsoft Oracle Salesforce Sap Vmware Contatti Iscriviti alla newsletter White paper Mappa dei integrator Cerca Contatti Iscriviti alla newsletter White paper Mappa dei integrator 01net Apple Cloud IoT Intelligenza artificiale Le Voci dellAI Prodotti Hardware Mobile Networking e TLC 5G Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Webinar Aziende Aws Cisco Dell Hpe Google Ibm Meta Microsoft Oracle Salesforce Sap Vmware Home Business Wire University Phoenix Hosts Educational Equity Webinar Leveraging AI Promote... Business Wire University Phoenix Hosts Educational Equity Webinar Leveraging AI Promote DEIB Workplace di Business Wire 29 Agosto 2023 Share Facebook Twitter Linkedin Telegram Pinterest WhatsApp Email Print Webinar highlights potential AI support inclusive workplace culture enrich educational experiences PHOENIXBUSINESS WIREUniversity Phoenix holding newest webinar Educational Equity Webinar Series, titled Leveraging AI Promote DEIB Workplaces Higher Education, September 21, 2023, 12 PM AZT, featuring Shayne Halls, president CEO consulting firm Manifested Dreams, leader 15 years field Diversity, Equity, lusion Belonging DEIB. The webinar designed provide insight guidance use AI create workplaces feels valued help enrich educational experiences students, faculty, staff colleges universities. The time right thoughtful practical discussion potential impact AI DEIB efforts, states Tondra Richardson, MBA, Director Student Diversity lusion University Phoenix. We eagerly anticipate Mr. Halls insights look forward learning leveraging AI support equity inclusion environments. The event public series intended educators, diversity, equity, inclusion, belonging DEIB practitioners, higher education leaders administrators, employers, nonprofit organizations, government affiliates, University Phoenix faculty, staff, students, alumni globe. Artificial intelligence rapidly transforming landscape business higher education, shares Halls. Helping professionals navigate new landscape includes looking opportunities ensure tools use designed, implemented managed ways help foster inclusion belonging levels organization. The virtual discussion examine ways AI impact DEIB initiatives, foster inclusive workplace culture, enrich educational experiences colleges universities. From reducing bias hiring processes tailoring personalized learning journeys, session examine AIs capacity augment human decisionmaking holds promise inclusive equitable future. Halls spent career committed empowering corporate professionals organizations unlock potential AI technology careers business operations. With 15 years experience Diversity, Equity, lusion, honed expertise include artificial intelligence, creating unique vision drives innovation fosters inclusive environment. His passion helping navigate complex world AI led founding consulting firm Manifested Dreams, offers exclusive oneonone consultations group sessions, ensuring clients equipped knowledge tools needed stay ahead curve. The discussion hosted Tondra Richardson, MBA, director Student Diversity lusion Saray Lopez, MBA, director, Student Diversity lusion, Office Educational Equity OEE University Phoenix. The Educational Equity Webinar Series series events OEE engages aiming foster cultural awareness, thought leadership community alliances promote sustain educational equity diversity initiatives. The OEE supports students faculty yearround programs like lusive Leadership Summit internal offering staff faculty, The lusive Caf. webinar here. Previous webinars accessed here. About University Phoenix University Phoenix continually innovating help working adults enhance careers rapidly changing world. Flexible schedules, relevant courses, interactive learning, Career Services Life commitment help students effectively pursue career personal aspirations balancing busy lives. For information, visit . Michele Mitchum University Phoenix sharla.hooper Articoli correlati Uniphore Recognized Ten Gartner Hype Cycle Reports Business Wire Business Wire 29 Agosto 2023 PALO ALTO, Calif.BUSINESS WIREAIUniphore, worlds largest AInative, enterprise SaaS companies, today announced been... 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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. Iscriviti alla NEWSLETTER newsletter Iscriviti
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https://www.1011now.com/prnewswire/2022/12/05/delaware-imaging-network-launches-enhanced-breast-cancer-detection-program-providing-women-new-state-of-the-art-solution-powered-by-artificial-intelligence/
| 2022-12-05T00:00:00 |
en
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Delaware Imaging Network Launches the Enhanced Breast Cancer Detection Program, Providing Women a New State-of-the-Art Solution Powered by Artificial Intelligence
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Delaware Imaging Network Launches the Enhanced Breast Cancer Detection Program, Providing Women a New State-of-the-Art Solution Powered by Artificial 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 ReleasesDelaware Imaging Network Launches the Enhanced Breast Cancer Detection Program, Providing Women a New State-of-the-Art Solution Powered by Artificial IntelligencePublished: Dec. 5, 2022 at 10:01 AM CST|Updated: 21 minutes agoWILMINGTON, Del., Dec. 5, 2022 /PRNewswire/ -- Delaware Imaging Network, a division of RadNet, Inc. (NASDAQ: RDNT), today announced that it has started implementation of its new Enhanced Breast Cancer Detection (EBCD) service (https://myEBCDmammo.com), which works in concert with a patient's annual breast screening regimen. For an additional fee, patients can receive an advanced screening mammography offering including (i) the application of Saige-Dx™, an FDA-cleared artificial intelligence (AI) technology powered by DeepHealth; (ii) an additional AI-driven review ("Accord") applied to certain suspicious exams and findings; (iii) an in-depth, personalized lifetime risk assessment for breast cancer; and (iv) a dedicated 1-800 support line for questions about certain aspects of the patient's reports. EBCD presents a significantly improved level of accuracy in breast cancer detection, empowering women to take greater control of their health.RadNet is a global leader in the development and use of AI for cancer screening, and the use of AI is significantly featured in the Enhanced Breast Cancer Detection service. "AI is dramatically improving our detection capability and overall quality," said Howard Berger, M.D., President and Chief Executive Officer of RadNet. Gregory Sorensen, M.D., founder of DeepHealth and President of RadNet's AI division, added, "Saige-Dx is a sophisticated, AI deep-learning algorithm that has been trained on more data than any one radiologist would see in a lifetime. Saige-Dx's pivotal study showed that radiologists who used Saige-Dx improved their performance, something no other mammography AI tool has demonstrated. Saige-Dx analyzes each mammogram in detail, and if suspicious findings are present, the AI identifies the lesion in the exam for the radiologist and categorizes the level of suspicion." Jacqueline Holt, M.D., Director of Breast Imaging at Delaware Imaging Network, stated, "In medicine, the ability to see and detect disease with more certainty is a game-changer, driving better patient outcomes. We are using AI to detect breast cancers that the human eye might not notice. In my experience, the addition of these proven, FDA-cleared algorithms has allowed us to detect hundreds of cancers that otherwise would not have been found at the time of screening."In the past, many breast screening mammography patients have described a desire for more information about the reports and follow-ups they receive after their annual mammogram, including their lifetime risk of developing breast cancer. While a breast density score, currently required in 38 states, is one factor in a patient's lifetime risk for breast cancer, multiple factors can increase risk. The EBCD service offers a much-needed solution that addresses questions about breast cancer risk by providing a personalized report and a specialist to call when patients have questions about their lifetime risk of breast cancer. Depending on the patient's risk level, their referring physician might recommend a customized screening protocol.The EBCD service was created for women who want more accurate and informative mammograms. EBCD is the first comprehensive solution of its kind and is described in detail at www.myEBCDmammo.com. According to Dr. Berger, "The EBCD service is one of the most exciting and important endeavors the Company has pursued for our patients and staff. It serves as another example of how RadNet continues to lead radiology forward."About the Delaware Imaging Network (DIN)Delaware Imaging Network (DIN) is a comprehensive diagnostic imaging network, formed in 2018 by two of Delaware's premier imaging providers – Papastavros' Associates Medical Imaging (PAMI) and Diagnostic Imaging Associates (DIA). DIN provides expert care and cutting-edge technology, including MRI, CT, Digital & 3D Mammography, Ultrasound, Nuclear Medicine, Fluoroscopy, X-Ray, DEXA for bone density measurement, and more. The collaborative network of outpatient imaging centers has delivered quality and convenience to local and neighboring communities in Wilmington, Newark, Glasgow, Middletown, and Dover for over 50 years. With continued dedication to the care and comfort of DIN's valued patients, imaging services are offered at costs much lower than hospital-owned imaging centers.About RadNet, Inc.RadNet, Inc., is the leading national provider of freestanding, fixed-site diagnostic imaging services and related information technology solutions (including artificial intelligence) in the United States based on the number of locations and annual imaging revenue. RadNet has a network of 349 owned and/or operated outpatient imaging centers. RadNet's markets include California, Maryland, Delaware, New Jersey, New York, Florida, and Arizona. Together with affiliated radiologists, including full-time and per diem employees and technicians, RadNet has approximately 9,000 employees. For more information, visit http://www.radnet.com.About DeepHealth, Inc.DeepHealth uses machine learning to distill lifetimes of insights from medical experts into software to assist physicians. DeepHealth's mission is to enable the best care by providing products that clinicians and patients can trust through rigorous science and clinical integration. For more information, visit www.deep.health.View original content:https://www.prnewswire.com/news-releases/delaware-imaging-network-launches-the-enhanced-breast-cancer-detection-program-providing-women-a-new-state-of-the-art-solution-powered-by-artificial-intelligence-301694781.htmlSOURCE RadNetThe 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.
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Delaware Imaging Network Launches the Enhanced Breast Cancer Detection Program, Providing Women a New State-of-the-Art Solution Powered by Artificial Intelligence
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Delaware Imaging Network Launches Enhanced Breast Cancer Detection Program, Providing Women New StateoftheArt Solution Powered Artificial 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 ReleasesDelaware Imaging Network Launches Enhanced Breast Cancer Detection Program, Providing Women New StateoftheArt Solution Powered Artificial IntelligencePublished: Dec. 5, 2022 10:01 AM CSTUpdated: 21 minutes agoWILMINGTON, Del., Dec. 5, 2022 PRNewswire Delaware Imaging Network, division RadNet, . NASDAQ: RDNT, today announced started implementation new Enhanced Breast Cancer Detection EBCD service works concert patients annual breast screening regimen. For additional fee, patients receive advanced screening mammography offering including application SaigeDx, FDAcleared artificial intelligence AI technology powered DeepHealth; ii additional AIdriven review Accord applied certain suspicious exams findings; iii indepth, personalized lifetime risk assessment breast cancer; iv dedicated 1800 support line questions certain aspects patients reports. EBCD presents significantly improved level accuracy breast cancer detection, empowering women greater control health.RadNet global leader development use AI cancer screening, use AI significantly featured Enhanced Breast Cancer Detection service. AI dramatically improving detection capability overall quality, said Howard Berger, M.D., President Chief Executive Officer RadNet. Gregory Sorensen, M.D., founder DeepHealth President RadNets AI division, added, SaigeDx sophisticated, AI deeplearning algorithm trained data radiologist lifetime. SaigeDxs pivotal study showed radiologists SaigeDx improved performance, mammography AI tool demonstrated. SaigeDx analyzes mammogram detail, suspicious findings present, AI identifies lesion exam radiologist categorizes level suspicion. Jacqueline Holt, M.D., Director Breast Imaging Delaware Imaging Network, stated, In medicine, ability detect disease certainty gamechanger, driving better patient outcomes. We AI detect breast cancers human eye notice. In experience, addition proven, FDAcleared algorithms allowed detect hundreds cancers time screening.In past, breast screening mammography patients described desire information reports followups receive annual mammogram, including lifetime risk developing breast cancer. While breast density score, currently required 38 states, factor patients lifetime risk breast cancer, multiple factors increase risk. The EBCD service offers muchneeded solution addresses questions breast cancer risk providing personalized report specialist patients questions lifetime risk breast cancer. Depending patients risk level, referring physician recommend customized screening protocol.The EBCD service created women want accurate informative mammograms. EBCD comprehensive solution kind described According Dr. Berger, The EBCD service exciting important endeavors Company pursued patients staff. It serves example RadNet continues lead radiology forward.About Delaware Imaging Network DINDelaware Imaging Network DIN comprehensive diagnostic imaging network, formed 2018 Delawares premier imaging providers Papastavros Associates Medical Imaging PAMI Diagnostic Imaging Associates DIA. DIN provides expert care cuttingedge technology, including MRI, CT, Digital 3D Mammography, Ultrasound, Nuclear Medicine, Fluoroscopy, XRay, DEXA bone density measurement, more. The collaborative network outpatient imaging centers delivered quality convenience local neighboring communities Wilmington, Newark, Glasgow, Middletown, Dover 50 years. With continued dedication care comfort DINs valued patients, imaging services offered costs lower hospitalowned imaging centers.About RadNet, .RadNet, ., leading national provider freestanding, fixedsite diagnostic imaging services related information technology solutions including artificial intelligence United States based number locations annual imaging revenue. RadNet network 349 owned andor operated outpatient imaging centers. RadNets markets include California, Maryland, Delaware, New Jersey, New York, Florida, Arizona. Together affiliated radiologists, including fulltime diem employees technicians, RadNet approximately 9,000 employees. For information, visit DeepHealth, .DeepHealth uses machine learning distill lifetimes insights medical experts software assist physicians. DeepHealths mission enable best care providing products clinicians patients trust rigorous science clinical integration. For information, visit original content: RadNetThe 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/2023/06/15/shield-ai-kratos-team-up-integrate-ai-pilot-valkyrie-xq-58/
| 2023-06-15T00:00:00 |
en
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Shield AI and Kratos Team up to Integrate AI Pilot on Valkyrie XQ-58
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Shield AI and Kratos Team up to Integrate AI Pilot on Valkyrie XQ-58
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 ReleasesShield AI and Kratos Team up to Integrate AI Pilot on Valkyrie XQ-58Published: Jun. 15, 2023 at 8:00 AM CDT|Updated: 1 hour agoIntegration of AI Pilot onboard XQ-58 Valkyrie will unlock concept of intelligent, affordable mass for US DoD and Allies – the Holy Grail of DeterrenceSAN DIEGO, June 15, 2023 /PRNewswire/ -- Kratos Defense & Security Solutions, Inc. (Nasdaq: KTOS), a Technology Company in the Defense, National Security and Global Markets, and Shield AI, Inc., a defense technology company building the world's best AI pilot, have signed an agreement to integrate and bring to market an AI pilot built by Shield AI for Kratos' XQ-58 Valkyrie, making real the concept of crewed-uncrewed teaming for jet aircraft. "Ukraine is losing 10,000 drones per month due to Russian electronic warfare – primarily because the Russians are jamming communications and GPS. If an uncrewed aircraft is unable to operate without GPS and without communications, it will be near useless in future conflicts," said Brandon Tseng, Shield AI's Cofounder and President, who is also a former Navy SEAL. "AI Pilots enable teams of aircraft to intelligently execute missions without GPS and communications. When you take an incredible, affordable uncrewed jet aircraft like the XQ-58 and pair it up with our AI pilot, you create a game-changing strategic deterrent.""The Valkyrie is one of a very few number of uncrewed jet aircraft that are flying today, ramping in production, and are ready for AI pilot integration. Close integration and access with Kratos on the XQ-58 will enable the productization of intelligent uncrewed jet aircraft on a timeline that is, quite frankly, going to shock some people. Ultimately our AI pilots will be flying many uncrewed jet aircraft, but I can't think of a better uncrewed jet to start with than the Valkyrie," said Ryan Tseng, Shield AI's Cofounder and CEO.Shield AI has developed a combat-deployed AI pilot that has flown on a variety of platforms, including a quadcopter, their own manufactured Group 3 unmanned aircraft system called the V-BAT, and a modified F-16 fighter jet.Kratos has active production lines producing approximately 150 jet drones annually, including Valkyrie, and a family of affordable, expendable, and attritable tactical jet drones flying today, including Tactical Firejet, Mako, Valkyrie and others, with actual known cost points of approximately $400,000 to $6.5 million and multiple contracts with the United States Air Force, Navy, Army, Marine Corps and others."By taking the most cost-efficient, proven, existing and in production uncrewed jets, with key performance capabilities, and pairing them with the most intelligent, capable, and proven AI pilots, Kratos and Shield AI are uniquely positioned to rapidly bring the first and best crewed-uncrewed teaming aircraft to market," commented Eric Demarco, CEO of Kratos.About Shield AI Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world's best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI's products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, Twitter, and Instagram.About Kratos Defense & Security Solutions Kratos Defense & Security Solutions, Inc. (NASDAQ: KTOS) is a Technology Company that develops and fields transformative, affordable systems, products and solutions for United States National Security, our allies and global commercial enterprises. At Kratos, Affordability is a Technology, and Kratos is changing the way breakthrough technology is rapidly brought to market – at a low cost – with actual products, systems and technologies rather than slide decks or renderings. Through proven commercial and venture capital backed approaches, including proactive, internally funded research and streamlined development processes, Kratos is focused on being First to Market with our solutions, well in advance of competition. Kratos is the recognized Technology Disruptor in our core market areas, including Space and Satellite Communications, Cyber Security and Warfare, Unmanned Systems, Rocket and Hypersonic Systems, Next-Generation Jet Engines and Propulsion Systems, Microwave Electronics, C5ISR and Virtual and Augmented Reality Training Systems. For more information, visit www.KratosDefense.comShield AI CEO Ryan Tseng and Kratos Senior Vice President for Business Development and Strategy Jeff Herro together in Kratos' tactical drone facility.(PRNewswire)Future concept: AI-enabled X-58s and F-35s conducting crewed-uncrewed teaming operations(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/shield-ai-and-kratos-team-up-to-integrate-ai-pilot-on-valkyrie-xq-58-301851558.htmlSOURCE Shield 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.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.
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Shield AI and Kratos Team up to Integrate AI Pilot on Valkyrie XQ-58
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Shield AI Kratos Team Integrate AI Pilot Valkyrie XQ58 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 ReleasesShield AI Kratos Team Integrate AI Pilot Valkyrie XQ58Published: Jun. 15, 2023 8:00 AM CDTUpdated: 1 hour agoIntegration AI Pilot onboard XQ58 Valkyrie unlock concept intelligent, affordable mass US DoD Allies Holy Grail DeterrenceSAN DIEGO, June 15, 2023 PRNewswire Kratos Defense Security Solutions, . Nasdaq: KTOS,a Technology Company Defense, National Security Global Markets, Shield AI, ., defense technology company building worlds best AI pilot, signed agreement integrate andbring market AI pilot built Shield AI Kratos XQ58 Valkyrie, making real concept creweduncrewed teaming jet aircraft. Ukraine losing 10,000 drones month Russian electronic warfare primarily Russians jamming communications GPS. If uncrewed aircraft unable operate GPS communications, near useless future conflicts, said Brandon Tseng, Shield AIs Cofounder President, Navy SEAL. AI Pilots enable teams aircraft intelligently execute missions GPS communications. When incredible, affordable uncrewed jet aircraft like XQ58 pair AI pilot, create gamechanging strategic deterrent.The Valkyrie number uncrewed jet aircraft flying today, ramping production, ready AI pilot integration. Close integration access Kratos XQ58 enable productization intelligent uncrewed jet aircraft timeline is, frankly, going shock people. Ultimately AI pilots flying uncrewed jet aircraft, I think better uncrewed jet start Valkyrie, said Ryan Tseng, Shield AIs Cofounder CEO.Shield AI developed combatdeployed AI pilot flown variety platforms, including quadcopter, manufactured Group 3 unmanned aircraft called VBAT, modified F16 fighter jet.Kratos active production lines producing approximately 150 jet drones annually, including Valkyrie, family affordable, expendable, attritable tactical jet drones flying today, including Tactical Firejet, Mako, Valkyrie others, actual known cost points approximately 400,000 6.5 million multiple contracts United States Air Force, Navy, Army, Marine Corps others.By taking costefficient, proven, existing production uncrewed jets, key performance capabilities, pairing intelligent, capable, proven AI pilots, Kratos Shield AI uniquely positioned rapidly bring best creweduncrewed teaming aircraft market, commented Eric Demarco, CEO Kratos.About Shield AIFounded 2015, Shield AI venturebacked defense technology company mission protect service members civilians intelligent systems. In pursuit mission, Shield AI building worlds best AI pilot. Its AI pilot, Hivemind, flown fighter jet F16, vertical takeoff landing drone VBAT, quadcopter Nova. The company offices San Diego, Dallas, Washington DC abroad. Shield AIs products people currently field actively supporting operations U.S. Department Defense U.S. allies. For information, visit Follow Shield AI LinkedIn,Twitter,and Instagram.About Kratos Defense Security Solutions Kratos Defense Security Solutions, . NASDAQ: KTOS Technology Company develops fields transformative, affordable systems, products solutions United States National Security, allies global commercial enterprises. At Kratos, Affordability Technology, Kratos changing way breakthrough technology rapidly brought market low cost actual products, systems technologies slide decks renderings. Through proven commercial venture capital backed approaches, including proactive, internally funded research streamlined development processes, Kratos focused First Market solutions, advance competition. Kratos recognized Technology Disruptor core market areas, including Space Satellite Communications, Cyber Security Warfare, Unmanned Systems, Rocket Hypersonic Systems, NextGeneration Jet Engines Propulsion Systems, Microwave Electronics, C5ISR Virtual Augmented Reality Training Systems. For information, visit AI CEO Ryan Tseng Kratos Senior Vice President Business Development Strategy Jeff Herro Kratos tactical drone facility.PRNewswireFuture concept: AIenabled X58s F35s conducting creweduncrewed teaming operationsPRNewswireView original content download multimedia: Shield AIThe 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, .
| 2,023 |
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] | 1 | 5,177 |
https://www.13abc.com/prnewswire/2023/09/12/shogun-launches-new-era-optimization-generative-ai-features-ecommerce-merchants/
| 2023-09-12T00:00:00 |
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Shogun Launches a New Era of Optimization and Generative AI Features for Ecommerce Merchants
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Shogun Launches a New Era of Optimization and Generative AI Features for Ecommerce Merchants
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 BureauInvestigateTVPowerNationClosings and DelaysDismiss Closings Alerts BarShogun Launches a New Era of Optimization and Generative AI Features for Ecommerce MerchantsPublished: Sep. 12, 2023 at 6:00 AM EDT|Updated: 23 minutes agoShogun revolutionizes how established merchants with complex needs can scale store content efficientlyPALO ALTO, Calif., Sept. 12, 2023 /PRNewswire/ -- Shogun, a trailblazer in the no-code ecommerce page builder space, today announced the release of Shogun AI and Shogun Insights, the first milestones delivered in an expanded vision to further accelerate the growth of ecommerce brands.In eight years, Shogun has enabled over 250,000 merchants to fully customize Shopify and BigCommerce store design for more conversions. As the builder that defined the category as the first of its kind on the Shopify App Store, the company has continued investing in the no-code editor space, and is once again innovating to empower non-technical merchants.Realization of an expanded vision for Shogun Page Builder begins today with the rollout of Shogun AI—content creation tools for merchants fueled by artificial intelligence—and Shogun Insights, a built-in optimization tool providing real-time recommendations for improving conversions, design, and performance. These new additions are delivered on top of an improved user interface, plus the powerful existing feature-set that has allowed customers to instantly clone content between stores for efficient multi-store growth."When it comes to strategic ecommerce expansion, you need solutions that can handle complexity," said Finbarr Taylor, Co-founder and CTO of Shogun. "For nearly a decade we've been merchants' preferred page builder solution, and we know that the stores leveraging Shogun to the fullest are more established brands—often with multiple storefronts or regional stores. With our latest feature additions and improvements, we've become the builder that brands don't outgrow. We're excited to take this further with Shogun AI and Shogun Insights to become a trusted optimization partner for sophisticated brands."Where merchants today typically spend too many hours building store content manually, Shogun's AI features have been built to speed time to market:"You can now generate content—from your store's copy to entire page sections—instantly," said Bill Farrell, Senior Director of Product Management at Shogun. "Now, you never need to start from a blank page. We're helping merchants confidently publish high-converting content that drives revenue."Vastly speeding up content creation workflows, Shogun AI is composed of generative tools including AI Text, AI Designer, AI SEO, and AI Elements. These enable merchants to:Generate persuasive page copy in seconds: Select any text element, add a prompt, and get contextual store headlines, promotional banner text, and product descriptions.Create blocks of store content entirely with AI. Quick prompts generate compelling hero banners, value props, customer review blocks, and more, all directly in the builder. Merchants can stack AI-generated content blocks to create entire pages and variants fast.Auto-generate a store page's meta titles and descriptions for SEO-friendly content more likely to appear in search results.Harness AI to generate code for interactive store elements. Enhance existing development expertise by using prompts to guide AI code creation for unique or interactive store elements, with just minor tweaks pre-publish."Generative AI is rapidly changing the possibilities for brands in ecommerce," says Katie Ouaknine, Owner of Badgley Mischka Web. "Merchants need to consider how they're adopting AI-enabled solutions—and which vendors can meaningfully help your business push past traditional design or platform limitations. Shogun's Content Syncing feature and Advanced plan tier were a no-brainer for us as we scaled, and Shogun is well-positioned to deliver and help brands continue to grow with this expansion."Beyond Shogun AI, the brand also announced Shogun Insights, a built-in optimization tool designed to give merchants access to real-time recommendations pre-publish. As Bill Farrell shares: "Merchants haven't always had a clear picture of how store content will perform—or they've needed to run diagnostics outside of a builder. Now, even without a background in design, SEO, or other marketing domains, anyone can gain the insights needed to create high-converting store content adhering to Google Lighthouse's performance requirements at-a-glance."With modern merchants facing a challenging landscape today with fewer resources, intense price pressure, inflation, and continually rising shopper expectations, this expanded vision and feature set represents another way to remain competitive. Coupled with Shogun's near decade of content creation expertise—and as the only builder with Shopify Plus certified status—Shogun AI and Shogun Insights deliver outsized capability to established merchants.Merchants can install Shogun Page Builder today from the Shopify or BigCommerce App Stores to get access to Shogun's generative AI features available on the latest paid plans. Shogun Insights will be available on the Grow and Advanced plans.To learn more about what Shogun's focus on optimization will mean for merchants:Attend the live Keynote September 26, 2023 at 2 pm EST/11 am PST, where Shogun's CEO and the Senior Director of Product Management will demonstrate how to leverage the expanded offering to its full potential.Read our blog about the importance of generative AI and optimization as ecommerce brands adapt to the current landscape.About ShogunEstablished in 2015, Shogun has enabled 250,000+ merchants to create exceptional ecommerce. Using Shogun Page Builder—a no-code page builder solution for Shopify and BigCommerce merchants—anyone on an ecommerce web team can build and publish store content fast to speed up time to market, reduce developer reliance, and convert more sales. From your first store customizations—to scaling your ecommerce site content with multi-store—Shogun Page Builder scales with you. Our customers include Rumpl, Vuori, OLIPOP, Bagdley Mischka, K-Swiss, The Ridge, and more. Visit www.getshogun.com to accelerate your store's online channel growth today.(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/shogun-launches-a-new-era-of-optimization-and-generative-ai-features-for-ecommerce-merchants-301924089.htmlSOURCE ShogunThe 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.
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Shogun Launches a New Era of Optimization and Generative AI Features for Ecommerce Merchants
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Shogun Launches New Era Optimization Generative AI Features Ecommerce Merchants 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 BureauInvestigateTVPowerNationClosings DelaysDismiss Closings Alerts BarShogun Launches New Era Optimization Generative AI Features Ecommerce MerchantsPublished: Sep. 12, 2023 6:00 AM EDTUpdated: 23 minutes agoShogun revolutionizes established merchants complex needs scale store content efficientlyPALO ALTO, Calif., Sept. 12, 2023 PRNewswire Shogun, trailblazer nocode ecommerce builder space, today announced release Shogun AI Shogun Insights, milestones delivered expanded vision accelerate growth ecommerce brands.In years, Shogun enabled 250,000 merchants fully customize Shopify BigCommerce store design conversions. As builder defined category kind Shopify App Store, company continued investing nocode editor space, innovating empower nontechnical merchants.Realization expanded vision Shogun Page Builder begins today rollout Shogun AIcontent creation tools merchants fueled artificial intelligenceand Shogun Insights, builtin optimization tool providing realtime recommendations improving conversions, design, performance. These new additions delivered improved user interface, plusthe powerful existing featureset allowed customers instantly clone content stores efficient multistore growth.When comes strategic ecommerce expansion, need solutions handle complexity, said Finbarr Taylor, Cofounder CTO Shogun. For nearly decade weve merchants preferred builder solution, know stores leveraging Shogun fullest established brandsoften multiple storefronts regional stores. With latest feature additions improvements, weve builder brands dont outgrow. Were excited Shogun AI Shogun Insights trusted optimization partner sophisticated brands.Where merchants today typically spend hours building store content manually, Shoguns AI features built speed time market:You generate contentfrom stores copy entire sectionsinstantly, said Bill Farrell, Senior Director Product Management Shogun. Now, need start blank . Were helping merchants confidently publish highconverting content drives revenue.Vastly speeding content creation workflows, Shogun AI composed generative tools including AI Text, AI Designer, AISEO, AI Elements. These enable merchants to:Generate persuasive copy seconds: Select text element, add prompt, contextual store headlines, promotional banner text, product descriptions.Create blocks store content entirely AI. Quick prompts generate compelling hero banners, value props, customer review blocks, more, directly builder. Merchants stack AIgenerated content blocks create entire variants fast.Autogenerate store meta titles descriptions SEOfriendly content likely appear search results.Harness AI generate code interactive store elements. Enhance existing development expertise prompts guide AI code creation unique interactive store elements, minor tweaks prepublish.Generative AI rapidly changing possibilities brands ecommerce, says Katie Ouaknine, Owner Badgley Mischka Web. Merchants need consider theyre adopting AIenabled solutionsand vendors meaningfully help business push past traditional design platform limitations. Shoguns Content Syncing feature Advanced plan tier nobrainer scaled, Shogun wellpositioned deliver help brands continue grow expansion.Beyond Shogun AI, brand announced Shogun Insights, builtin optimization tool designed merchants access realtime recommendations prepublish. As Bill Farrell shares: Merchants havent clear picture store content performor theyve needed run diagnostics outside builder. Now, background design, SEO, marketing domains, gain insights needed create highconverting store content adhering Google Lighthouses performance requirements ataglance.With modern merchants facing challenging landscape today fewer resources, intense price pressure, inflation, continually rising shopper expectations, expanded vision feature set represents way remain competitive. Coupled Shoguns near decade content creation expertiseand builder Shopify Plus certified statusShogun AI Shogun Insights deliver outsized capability establishedmerchants.Merchants install Shogun Page Builder today Shopify orBigCommerce App Stores access Shoguns generative AI features available latest paid plans. Shogun Insights available Grow Advanced plans.To learn Shoguns focus optimization mean merchants:Attend live Keynote September 26, 2023 2 pm EST11 PST, Shoguns CEO Senior Director Product Management demonstrate leverage expanded offering potential.Read blog importance generative AI optimization ecommerce brands adapt current landscape.About ShogunEstablished 2015, Shogun enabled 250,000 merchants create exceptional ecommerce. Using Shogun Page Buildera nocode builder solution Shopify BigCommerce merchantsanyone ecommerce web team build publish store content fast speed time market, reduce developer reliance, convert sales. From store customizationsto scaling ecommerce site content multistoreShogun Page Builder scales you. Our customers include Rumpl, Vuori, OLIPOP, Bagdley Mischka, KSwiss, The Ridge, more. Visit accelerate stores online channel growth today.PRNewswireView original content download multimedia: ShogunThe 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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] | 1 | 5,178 |
https://www.14news.com/prnewswire/2022/06/06/flex-logix-launches-easyvision-turnkey-aiml-solution-with-ready-to-use-models-ai-acceleration-hardware/
| 2022-06-06T00:00:00 |
en
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FLEX LOGIX LAUNCHES EASYVISION - TURNKEY AI/ML SOLUTION WITH READY-TO-USE MODELS AND AI ACCELERATION HARDWARE
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FLEX LOGIX LAUNCHES EASYVISION - TURNKEY AI/ML SOLUTION WITH READY-TO-USE MODELS AND AI ACCELERATION HARDWARE
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 ReleasesFLEX LOGIX LAUNCHES EASYVISION - TURNKEY AI/ML SOLUTION WITH READY-TO-USE MODELS AND AI ACCELERATION HARDWAREPublished: Jun. 6, 2022 at 7:00 AM CDT|Updated: 1 hour agoTrained Object Detection Models Fine-Tuned to the InferX AI Accelerator Enable Customers to Get to Market Quickly and Easily with AI-Powered Vision ProductsMOUNTAIN VIEW, Calif., June 6, 2022 /PRNewswire/ -- Flex Logix® Technologies, Inc., supplier of fast and efficient edge AI inference accelerators, announced today the availability of EasyVision Platforms designed to help customers get to market quickly with edge computer vision products for a wide range of markets such as robotic vision, industrial, security, and retail analytics. EasyVision features the industry's most efficient edge AI accelerator, the InferX™, along with ready-to-use models that are trained to perform the most common object detection capabilities such as hard-hat detection, people counting, face mask detection and license plate recognition.Flex Logix Corporate Logo(PRNewswire)"There is an explosive demand today for edge vision solutions that bring AI capabilities to a wide range of products of services – yet many companies lack the expertise or data science know-how to develop and train models and then integrate them with existing AI accelerators," said Dana McCarty, Vice President of Sales and Marketing for Flex Logix's Inference Products. "With EasyVision, we are essentially providing an AI/ML 'platform in a box' that has the AI model already trained and ready to integrate into an existing application and it's also been fine tuned to work with a hardware accelerator that is fast and accurate.""Flex Logix's EasyVision solution provides a turnkey solution, converting our data to a trained and quantized model, that met our throughput and accuracy requirements," said Jack Duan, CTO and co-founder of Emerging Risk Analytics (ERA). "We are able to quickly build an AI inference solution with low-power-consumption requirement that avoids the GPU-caused thermal headaches we've been struggling with."About EasyVisionFlex Logix's EasyVision is available today as a complete solution that includes a server, accelerator card, and all the software needed to do the object detection. In the future, EasyVision will also be offered as standalone accelerator cards.EasyVision has been fine tuned to work with the Flex Logix InferX X1 accelerator, the industry's most efficient AI inference chip for edge systems. Its price/performance is much better than existing edge inference solutions.EasyVision platforms are based on Dell and HPE computing hardware and include a USB Camera for quick and easy trials and production deployments. A set of initial trained models including models for hardhat detection, people counting and others, are provided with the EasyVision platform. The AI vision model library will be continually refreshed over time in response to customer requirements.For more information on EasyVision, please visit the EasyVision webpage at https://easyvision.aiAbout Flex LogixFlex Logix is a reconfigurable computing company providing AI inference and eFPGA solutions based on software, systems and silicon. Its InferX X1 is the industry's most-efficient AI edge inference accelerator that will bring AI to the masses in high-volume applications by providing much higher inference throughput per dollar and per watt. Flex Logix's eFPGA platform enables chips to flexibly handle changing protocols, standards, algorithms, and customer needs and to implement reconfigurable accelerators that speed key workloads 30-100x compared to general purpose processors. Flex Logix is headquartered in Mountain View, California and has offices in Austin, Texas and Vancouver, Canada. For more information, visit https://flex-logix.com.MEDIA CONTACTSKelly KarrTanis [email protected]+408-718-9350Copyright 2022. All rights reserved. Flex Logix is a registered trademark and InferX is a trademark of Flex Logix, Inc.View original content to download multimedia:https://www.prnewswire.com/news-releases/flex-logix-launches-easyvision--turnkey-aiml-solution-with-ready-to-use-models-and-ai-acceleration-hardware-301561721.htmlSOURCE Flex Logix Technologies, Inc.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 ReportAdvertisingClosed CaptioningWFIE CareersA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
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FLEX LOGIX LAUNCHES EASYVISION
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FLEX LOGIX LAUNCHES EASYVISION TURNKEY AIML SOLUTION WITH READYTOUSE MODELS AND AI ACCELERATION HARDWARE 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 ReleasesFLEX LOGIX LAUNCHES EASYVISION TURNKEY AIML SOLUTION WITH READYTOUSE MODELS AND AI ACCELERATION HARDWAREPublished: Jun. 6, 2022 7:00 AM CDTUpdated: 1 hour agoTrained Object Detection Models FineTuned InferX AI Accelerator Enable Customers Get Market Quickly Easily AIPowered Vision ProductsMOUNTAIN VIEW, Calif., June 6, 2022 PRNewswire Flex LogixTechnologies, ., supplier fast efficient edge AI inference accelerators, announced today availability EasyVision Platforms designed help customers market quickly edge vision products wide range markets robotic vision, industrial, security, retail analytics. EasyVision features industrys efficient edge AI accelerator, InferX, readytouse models trained perform common object detection capabilities hardhat detection, people counting, face mask detection license plate recognition.Flex Logix Corporate LogoPRNewswireThere explosive demand today edge vision solutions bring AI capabilities wide range products services companies lack expertise data science knowhow develop train models integrate existing AI accelerators, said Dana McCarty, Vice President Sales Marketing Flex Logixs Inference Products. With EasyVision, essentially providing AIML platform box AI model trained ready integrate existing application fine tuned work hardware accelerator fast accurate.Flex Logixs EasyVision solution provides turnkey solution, converting data toa trained quantized model, met throughput accuracy requirements, said Jack Duan, CTO cofounder Emerging Risk Analytics ERA. We able quickly build AI inference solution lowpowerconsumption requirement avoids GPUcaused thermal headaches weve struggling with.About EasyVisionFlex Logixs EasyVision available today complete solution includes server, accelerator card, software needed object detection. In future, EasyVision offered standalone accelerator cards.EasyVision fine tuned work Flex Logix InferX X1 accelerator, industrys efficient AI inference chip edge systems. Its priceperformance better existing edge inference solutions.EasyVision platforms based Dell HPE computing hardware include USB Camera quick easy trials production deployments. A set initial trained models including models hardhat detection, people counting others, provided EasyVision platform. The AI vision model library continually refreshed time response customer requirements.For information EasyVision, visit EasyVision web Flex LogixFlex Logix reconfigurable computing company providing AI inference eFPGA solutions based software, systems silicon. ItsInferX X1 industrys mostefficient AI edge inference accelerator bring AI masses highvolume applications providing higher inference throughput dollar watt. Flex Logixs eFPGA platform enables chips flexibly handle changing protocols, standards, algorithms, customer needs implement reconfigurable accelerators speed key workloads 30100x compared general purpose processors. Flex Logix headquartered Mountain View, California offices Austin, Texas Vancouver, Canada. For information, visit CONTACTSKelly KarrTanis Communicationskelly.karr 2022. . Flex Logix registered trademark InferX trademark Flex Logix, .View original content download multimedia: Flex Logix Technologies, .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 ReportAdvertisingClosed CaptioningWFIE CareersA Gray Media Group, . Station 20022022 Gray Television, .
| 2,022 |
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https://www.14news.com/prnewswire/2022/06/21/kailo-medical-integrates-with-densitas-transfering-ai-output-directly-radiologists-report/
| 2022-06-21T00:00:00 |
en
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Kailo Medical Integrates with Densitas Transfering AI Output Directly to the Radiologist's Report
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Kailo Medical Integrates with Densitas Transfering AI Output Directly to the Radiologist's Report
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 Releases2 weather alerts in effectDismiss Weather Alerts Alerts BarKailo Medical Integrates with Densitas Transfering AI Output Directly to the Radiologist's ReportPublished: Jun. 21, 2022 at 7:00 AM CDT|Updated: 29 minutes agoCALGARY, AB, June 21, 2022 /PRNewswire/ - Kailo Medical today announced a new integration with Densitas. This integration will support compliance with breast density notification guidelines while simultaneously optimizing radiologist reading workflows. KailoHub transferring Densitas' breast density measure into the radiologist report brings standardized results to the referring physician, and supports conversations with patients based on reliable and reproducible information.Kailo Medical Logo (CNW Group/Kailo Medical)(PRNewswire)"Kailo and Densitas have many synergies: empowering our clients in their pursuit of standardization, enhanced metrics and accurate data. KailoHub brings the objectivity of the Densitas breast density output directly to the referring physician, ultimately ensuring dependable patient care," says Jessica Wilson, Vice President of North America at Kailo Medical. "We're excited to share that, together, we're working to create better outcomes for all in medical imaging.""We're pleased with the opportunity to collaborate with Kailo to provide a seamless integration of our density results into KailoHub," says Alexandra Bade, Director Global Sales and Operations at Densitas. "This supports the optimization of radiologist reading workflows for our mutual clients."The benefits of this new integration include.KailoHub transfers the Densitas density output directly into the radiologist report.Standardizes captured measurements.Reduces radiologist dictation time by eliminating dictation of the breast density score.Increases accuracy of the report.About Kailo Medical: In 2011, Robert Newman and Bernard Duscher founded Kailo Medical in Melbourne, Australia. Since then, the company has grown rapidly, with its software deployed in public and private sectors all over the world. Kailo's product line solves challenges, instills confidence, saves time, and standardizes practices. Primarily, our Healthcare Interoperability Broker KailoHub, integrates disparate systems across the Medical Imaging Enterprise; leading to more accurate reporting, more efficient processes and a more progressive way to care. With offices in Melbourne and Calgary, Kailo Medical is ready to help you solve challenges you might have with your current imaging workflow. If you'd like more information about Kailo Medical's products or services, please visit www.kailomedical.comAbout Densitas: Densitas® is a global leader in artificial intelligence solutions for breast cancer screening, focused on quality, safety, efficiency, and precision breast health. Our products equip mammography facilities with solutions for improving mammography quality, operational efficiencies, clinical care team burnout, compliance with MQSA EQUIP and breast density inform legislation, patient-specific rapid risk assessment, and tailored radiologic technologist training protocols. Densitas® solutions align with value-based care delivery models by providing standardized metrics and quantitative performance indicators delivered through a continuous quality assurance platform powered by advanced A.I. analytics to cost-effectively manage the care delivery.View original content to download multimedia:https://www.prnewswire.com/news-releases/kailo-medical-integrates-with-densitas-transfering-ai-output-directly-to-the-radiologists-report-301571460.htmlSOURCE Kailo 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.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.
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Kailo Medical Integrates with Densitas Transfering AI Output Directly to the Radiologist's Report
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Kailo Medical Integrates Densitas Transfering AI Output Directly Radiologists Report 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 Releases2 weather alerts effectDismiss Weather Alerts Alerts BarKailo Medical Integrates Densitas Transfering AI Output Directly Radiologists ReportPublished: Jun. 21, 2022 7:00 AM CDTUpdated: 29 minutes agoCALGARY, AB, June 21, 2022 PRNewswire Kailo Medical today announced new integration Densitas. This integration support compliance breast density notification guidelines simultaneously optimizing radiologist reading workflows. KailoHub transferring Densitas breast density measure radiologist report brings standardized results referring physician, supports conversations patients based reliable reproducible information.Kailo Medical Logo CNW GroupKailo MedicalPRNewswireKailo Densitas synergies: empowering clients pursuit standardization, enhanced metrics accurate data. KailoHub brings objectivity Densitas breast density output directly referring physician, ultimately ensuring dependable patient care, says Jessica Wilson, Vice President North America Kailo Medical. Were excited share that, together, working create better outcomes medical imaging.Were pleased opportunity collaborate Kailo provide seamless integration density results KailoHub, says Alexandra Bade, Director Global Sales Operations Densitas. This supports optimization radiologist reading workflows mutual clients.The benefits new integration include.KailoHub transfers Densitas density output directly radiologist report.Standardizes captured measurements.Reduces radiologist dictation time eliminating dictation breast density score.reases accuracy report.About Kailo Medical:In 2011, Robert Newman Bernard Duscher founded Kailo Medical Melbourne, Australia. Since then, company grown rapidly, software deployed public private sectors world. Kailos product line solves challenges, instills confidence, saves time, standardizes practices. Primarily, Healthcare Interoperability Broker KailoHub, integrates disparate systems Medical Imaging Enterprise; leading accurate reporting, efficient processes progressive way care. With offices Melbourne Calgary, Kailo Medical ready help solve challenges current imaging workflow. If youd like information Kailo Medicals products services, visit Densitas: Densitas global leader artificial intelligence solutions breast cancer screening, focused quality, safety, efficiency, precision breast health. Our products equip mammography facilities solutions improving mammography quality, operational efficiencies, clinical care team burnout, compliance MQSA EQUIP breast density inform legislation, patientspecific rapid risk assessment, tailored radiologic technologist training protocols. Densitas solutions align valuebased care delivery models providing standardized metrics quantitative performance indicators delivered continuous quality assurance platform powered advanced A.I. analytics costeffectively manage care delivery.View original content download multimedia: Kailo MedicalThe 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/2022/11/11/industry-innovation-ai-smile-smart-tracking-case-debut-worldwide-developed-by-weiyun-ai-amp-robotics-group/
| 2022-11-11T00:00:00 |
en
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INDUSTRY INNOVATION: AI SMILE Smart Tracking Case debut worldwide developed by Weiyun AI & Robotics Group
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INDUSTRY INNOVATION: AI SMILE Smart Tracking Case debut worldwide developed by Weiyun AI & Robotics Group
Skip to contentBirthday ClubAsk the ExpertPenguin CamCream of the Crop14 Job LinkBusiness FAQNewsElection ResultsElectionsCoronavirusWeinbach ExplosionWeatherSportsCalendarAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNationalSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsFootballViewer Photos & VideosScoresClosingsSign Up for Closings AccessClosings Admin LoginHealthCoronavirusPeace of MindCommunityCovering 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 BureauPowerNationInvestigate TVCircle - Country Music & LifestylePress ReleasesINDUSTRY INNOVATION: AI SMILE Smart Tracking Case debut worldwide developed by Weiyun AI & Robotics GroupPublished: Nov. 11, 2022 at 7:35 AM CST|Updated: 2 hours agoSHANGHAI, Nov. 11, 2022 /PRNewswire/ -- In last few decades, experts have been constantly discussing the future trend of AI application in medical scenarios: how to use AI as the underlying technology but actually transform the medical experiences of every individuals? Recently, Weiyun AI & Robotics Group, an internationally renowned industrial AI group company, once again got a full mark in the industry by launching its self-developed AI SMILE Smart Tracking Case, which changes the way of the communication between dentists and patients, greatly improves the patient's compliance and medical effects, bringing the new proposal for the future possibilities of AI application in medical treatment, which will accelerate the trend of medical AI to the next level worldwide.AI SMILE Smart Tracking Case released in Singapore(PRNewswire)NEW AI PRACTICE: Global Debut in Asia, North America and AfricaThe world's first AI SMILE Smart Tracking Case was self researched and developed by Weiyun scientific team. As the first pioneer intelligent hardware customized for invisible orthodontic users in the whole market, it integrates the functions of treatment tracking, wearing reminder, cycle recording, locating and data synchronizing. The intelligent device is designed to connect with AI SMILE APP, enables customers track their orthodontic treatment progress, reminds them to wear the aligners on time,thereby improves patient compliance and healing experience and serves the patient's daily life scenarios of orthodontics. This innovative design that breaks the stereotype makes the case no longer only has the function of storing braces, but an intelligent device that connects dentists and patients, creating a precedent for medical AI terminal, giving the inspiration of new AI practice to the global industry, and meaning something epoch-making.Obviously, the pioneering innovation of AI practice by Weiyun once again captured the eyes of the world. The debut of AI SMILE Tracking Case covers Asia, North America and Africa, with many interests and positive feedback received from the global market. Citing a senior medical analyst in the United States, "There is no doubt that, with the opening of a new round of global medical AI reshuffle, the core technological advantages of Weiyun have become more and more remarkable, and its wide acclaim in the international market has laid a solid foundation for its future market volume in those regions."APPLICATION VALUES: The Change in Medical Treatment ExperienceIn the process of chronic disease management, the patient's compliance with doctor's advice often affects the final cure effect in a large extent. For orthodontic patients, during the process of treatment, there are common problems such as easy loss of braces, difficulty in maintaining and developing wearing habits, and uncertainty in the treatment process, which might lead to frequent revisions of the orthodontic plan and even restarting it. The AI SMILE Smart Tracking Case, independently developed by Weiyun R&D team, can be bound to the AI SMILE user APP and the doctor's platform. The customized treatment plan made by the dentist for the patients and actual progress can be seen in real time. Meanwhile, doctor can remind them to wear the braces on time to improve their compliance and the orthodontic effect; in addition, its own considerate locating function can effectively avoid the loss of the braces, and become an inseparable orthodontic partner. In medical scenarios, as the first smart terminal, AI SMILE Smart Tracking Case can be linked to the cloud for case tracking and stage managing, assisting dentists in formulating more accurate follow-up treatment plans, and guaranteeing the orthodontic effects.FUTURE OUTLOOK: The Exploration of Medical AI by Constant Technology PracticesWith the core technology of artificial intelligence, robots and machine vision, Weiyun AI remain its frequent technology updates and the pioneer status in the industry. In this year, it had launched AI SMILE orthodontic treatment planning system Venus1.0, AI SMILE Intra-oral Scanner S4 and many other scientific and technological products that promote the development of the field of oral medical AI, and also won the German Red Dot Design Award, the honorary invitation of AAO, the FDA certification and many other honors and recognitions from the industry. The successful launch of the AI SMILE Smart Tracking Case is expected to change the way and concept of therapeutic process management, bringing a brand new orthodontic experience to consumers around the world. With the continuous innovation of Weiyun in the future, adhering to the product concept of "technology redefines life", Weiyun will continue to lead the industry by its AI technology, offer new possibilities and provide patients with a better therapeutic experience.In the era of coexistence of opportunities and challenges,to be one of the aspirational and invincible pioneers is crucial to survive in today's constant rat races. Obviously, Weiyun, which continues to practice intelligent manufacturing in the field of medical AI, has been a pioneer that dares to think and act, turning more ideas into the possibility, and expected to transform the industry and even everyone's life by its technology advances.View original content to download multimedia:https://www.prnewswire.com/news-releases/industry-innovation-ai-smile-smart-tracking-case-debut-worldwide-developed-by-weiyun-ai--robotics-group-301675522.htmlSOURCE AI SMILEThe 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 Captioning/Audio DescriptionWFIE CareersA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
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INDUSTRY INNOVATION: AI SMILE Smart Tracking Case debut worldwide developed by Weiyun AI & Robotics Group
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INDUSTRY INNOVATION: AI SMILE Smart Tracking Case debut worldwide developed Weiyun AI amp; Robotics Group Skip contentBirthday ClubAsk ExpertPenguin CamCream Crop14 Job LinkBusiness FAQNewsElection ResultsElectionsCoronavirusWeinbach ExplosionWeatherSportsCalendarTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNationalSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsFootballViewer Photos VideosScoresClosingsSign Up Closings AccessClosings Admin HealthCoronavirusPeace MindCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigate TVCircle Country Music LifestylePress ReleasesINDUSTRY INNOVATION: AI SMILE Smart Tracking Case debut worldwide developed Weiyun AI Robotics GroupPublished: Nov. 11, 2022 7:35 AM CSTUpdated: 2 hours agoSHANGHAI, Nov. 11, 2022 PRNewswire In decades, experts constantly discussing future trend AI application medical scenarios: use AI underlying technology actually transform medical experiences individuals? Recently, Weiyun AI Robotics Group, internationally renowned industrial AI group company, got mark industry launching selfdeveloped AI SMILE Smart Tracking Case, changes way communication dentists patients, greatly improves patients compliance medical effects, bringing new proposal future possibilities AI application medical treatment, accelerate trend medical AI level worldwide.AI SMILE Smart Tracking Case released SingaporePRNewswireNEW AI PRACTICE: Global Debut Asia, North America AfricaThe worlds AI SMILE Smart Tracking Case self researched developed Weiyun scientific team. As pioneer intelligent hardware customized invisible orthodontic users market, integrates functions treatment tracking, wearing reminder, cycle recording, locating data synchronizing. The intelligent device designed connect AI SMILE APP, enables customers track orthodontic treatment progress, reminds wear aligners time,thereby improves patient compliance healing experience serves patients daily life scenarios orthodontics. This innovative design breaks stereotype makes case longer function storing braces, intelligent device connects dentists patients, creating precedent medical AI terminal, giving inspiration new AI practice global industry, meaning epochmaking.Obviously, pioneering innovation AI practice Weiyun captured eyes world. The debut AI SMILE Tracking Case covers Asia, North America Africa, interests positive feedback received global market. Citing senior medical analyst United States, There doubt that, opening new round global medical AI reshuffle, core technological advantages Weiyun remarkable, wide acclaim international market laid solid foundation future market volume regions.APPLICATION VALUES: The Change Medical Treatment ExperienceIn process chronic disease management, patients compliance doctors advice affects final cure effect large extent. For orthodontic patients, process treatment, common problems easy loss braces, difficulty maintaining developing wearing habits, uncertainty treatment process, lead frequent revisions orthodontic plan restarting it. The AI SMILE Smart Tracking Case, independently developed Weiyun RD team, bound AI SMILE user APP doctors platform. The customized treatment plan dentist patients actual progress seen real time. Meanwhile, doctor remind wear braces time improve compliance orthodontic effect; addition, considerate locating function effectively avoid loss braces, inseparable orthodontic partner. In medical scenarios, smart terminal, AI SMILE Smart Tracking Case linked cloud case tracking stage managing, assisting dentists formulating accurate followup treatment plans, guaranteeing orthodontic effects.FUTURE OUTLOOK: The Exploration Medical AI Constant Technology PracticesWith core technology artificial intelligence, robots machine vision, Weiyun AI remain frequent technology updates pioneer status industry. In year, launched AI SMILE orthodontic treatment planning Venus1.0, AI SMILE Intraoral Scanner S4 scientific technological products promote development field oral medical AI, German Red Dot Design Award, honorary invitation AAO, FDA certification honors recognitions industry. The successful launch AI SMILE Smart Tracking Case expected change way concept therapeutic process management, bringing brand new orthodontic experience consumers world. With continuous innovation Weiyun future, adhering product concept technology redefines life, Weiyun continue lead industry AI technology, offer new possibilities provide patients better therapeutic experience.In era coexistence opportunities challenges,to aspirational invincible pioneers crucial survive todays constant rat races. Obviously, Weiyun, continues practice intelligent manufacturing field medical AI, pioneer dares think act, turning ideas possibility, expected transform industry everyones life technology advances.View original content download multimedia: AI SMILEThe 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 CaptioningAudio DescriptionWFIE CareersA Gray Media Group, . Station 20022022 Gray Television, .
| 2,022 |
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ChatGPT and the state of AI
7 December 2022 5:15 PM
by Colin Cullis
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BusinessUnusual
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Bigger and better and soon we will all be talking to machines
Let me begin by noting a line by Arthur C Clarke to say that “any sufficiently advanced technology is indistinguishable from magic”. The writer and futurist noted this in 1973 and it still holds true for most of us when we first interact with the products of artificial intelligence (AI).
They appear magical but thankfully are very well designed mathematical operations that seek to mimic our own methods for understanding and reflecting on the world.
One view of what makes us human is our emotions. They are not unique to us but they have developed as an impressive probability algorithm.
Odds are you have never thought of emotions this way but consider the difference between fear and excitement? They have the same elements with one major difference - our attitude to what we expect to happen next. Someone on a rollercoaster will appear to someone who does not know that to act like someone who is on a plane about to crash.
Neural networks that underpin the functioning of artificial intelligence use mathematics to calculate probabilities of something happening.
As they improve to sometimes equal our own ability they create a strange mix of awe and fear.
This will provide a simplified version of how they do that.There are multiple models that have been created to do certain specific tasks from translation, image identification and even turning text to speech. From there even more complex models were developed that could combine those tasks.
OpenAI is one of the prominent companies working on creating new and better versions with their GPT-3 based model being made available for the public to interact with since 30 November.Transformer models
The new models are able to consider more components and are able to work simultaneously on large chunks of data after having been trained on massive datasets.
Now not only can the transformer identify an image, it can create it and it can create it from a text input. The best known are Dall-e, Stable Diffusion and Midjourney.
The other transformer is the one that ChatGPT is based on with GPT being the acronym for Generative Pre-trained Transformer and the three refers to it being the third version.
The other popular model is LaMDA by Google with the name being an acronym for Language Model for Dialogue Applications. This is the model that an AI reviewer believed had become sentient earlier this year.
Trying to explain how they are able to understand and respond to us involves the use of tokens, positional encoding, attention and self attention, but it may be simpler to give an insight into another very clever development in AI - Markov chains
A Markov chain is a mathematical system that experiences transitions from one state to another according to certain probabilistic rules. The defining characteristic of a Markov chain is that no matter how the process arrived at its present state, the possible future states are fixed.
as described by ChatGPT via the entire internet
They can reduce the probability of something happening to a number and with enough data get very good at making predictions that are at least as good as our own and often a lot better.
Consider trying to predict if the stock market will go up, go down or remain the same. Historically, there is lots of data to tell you what happened, the ratio of how often each happened will serve as a model to predict what will happen next, at some point that ratio gets so precise that it will get the prediction right more often than not.
If that were true for the stock market then those with the knowledge would be making all the money, but reality is more complicated and so it is still a work in progress.
The same process is used by humans when forming a sentence while having a conversation. The words and the order of words are based on a complicated but understandable pattern for creating language. Even though all the words are known and used in the right order it may still leave us not able to understand (perhaps like the definition of a Markov Chain above) or the words that you know very well are arranged into a sequence that gives you some new insight that would amaze you. I imagine the emotion felt by a potential parent when they hear the words, “you are expecting” is a good example.Earlier versions could not focus on multiple words at the same time and had to work sequentially.
The new models can consider all the words, remember the words and process them in parallel. It was this advance that holds the prospect that the bots can be made available to everyone to use.
The final element is the size of the dataset that was used for the training. In effect the new models are using everything published publicly on the internet which despite all the dodgy content on balance would have more useful than harmful content.
But that does not mean there are not still some big holes. In the same way Wikipedia is an incredible creation of the collective human willingness to share, it is not something that should be trusted as true in all cases or that it is the final word on any subject.
Rome was not built in a day and neither will the super AI’s, but we are starting to get to the point where Rome is starting to look like a rapidly growing city.For business, the opportunities are to begin matching the enormous scale to create a customer base with the need to have the ability to deal with customer care. A focused but highly competent GPT type model will be able to answer and advise on most of a companies products and support issues, using natural language and in any language in text or speech and never taking a break or forgetting an important detail.
It is not impossible that in the future you may prefer to talk to the AI rather than the human.
The other area is working alongside information workers. I would write a few paragraphs and then as the AI to edit the text for clarity and fact checking.
It may prompt me on the other elements to consider to make a balanced article on the subject.
For those that may struggle getting their head around the subject they are studying they could use the model to add more examples or alternative explanations to get you to the a-ha moment.One group that will see a very big lift may be the very group that created the model. Mathematicians, statisticians and programmers will be able to use a specially trained model to help them get through the tricky parts of their work.
Stuck trying to get a piece of code to work, give it to the AI. Programming code is getting closer and closer to natural language that models like Copilot will allow more code to be created by more people.
The downside which we will definitely see initially will be those that give the model a bunch of subject prompts to create news or content pieces and post them as actual content for the sake of getting eyeballs and so ad revenue in return.
It is already something that is happening but cheap access to something that can produce content at the rate ChatGPT suggests will see a big increase in the issue before the police bots need to sniff out the bad actors.
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7 December 2022 5:15 PM
by Colin Cullis
Tags:
Digital technology
BusinessUnusual
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Get living stage 6 energy analyst The situation unlikely change defunct Kusile power station use months. 8 December 2022 7:27 AM Unisex bathrooms problem. In high school, hormones rife: FF Plus The Department Basic Educations proposal genderneutral bathrooms schools forms broader policy. 8 December 2022 6:47 AM View Local The Midday Report Express: President challenging Phala Phala report ConCourt All news need know. 7 December 2022 5:30 PM Section 89 report getting way: Hawks Sarb come evidence Judge Dennis Davis gives considered legal opinion unfolding Phala Phala saga future President Cyril Ramaphosa. 6 December 2022 7:38 PM We need imagine postANC future Songezo Zibi John Perlman chats Rivona Circles Chairman, Songezo Zibi current state countrys leadership. 6 December 2022 4:35 PM View Politics Stage 6 load shedding stands total blackout President Ramaphosa Eskom plunging country stage 6 load shedding. 8 December 2022 8:04 AM Load shedding improve. Get living stage 6 energy analyst The situation unlikely change defunct Kusile power station use months. 8 December 2022 7:27 AM Remittances Rwanda hit R8 billion 2022, way donor aid Expats working countries sent money families Rwanda 469 million. 7 December 2022 8:59 PM View Business Remittances Rwanda hit R8 billion 2022, way donor aid Expats working countries sent money families Rwanda 469 million. 7 December 2022 8:59 PM Shoprite king Whitey Basson: Where saw challenges saw opportunities Whitey Basson drove spectacular growth Shoprite 40 years. Niel Joubert talks authorised biography leg... 7 December 2022 8:02 PM [WATCH] Dlismas Blessings Hunters ad gives Christmas refreshing SA spin The weeks advertising heroes zeros Think Creative Africas Zetu Damane The Money Show. 7 December 2022 6:18 PM View Lifestyle Should athletes mental health issues treatment injuries? Springbok wing Sbu Nkosi recently safe parents home Emahlahleni team unable locate him. 8 December 2022 5:19 AM Destigmatise mental health men sports psychologist Sbu Nkosis break The 26yearold Springbok taking mental health break, seen public weeks. 7 December 2022 7:12 AM New perspective boxing: exercise improve cardiovascular fitness health Clement Manyathela talks Xolisa Xabanisa, owner Xman Fitness boxing, benefits boxing form exercise.... 6 December 2022 4:27 PM View Sport Pay money Taylor Swift fans sue Ticketmaster Eras tour ticket fail Over dozen Swifties suing Ticketmaster fraud, price fixing, antitrust violations. 7 December 2022 8:09 AM [WATCH] Harry Meghan series premieres Netflix Thursday More episodes series included, starting week. 6 December 2022 9:26 AM My Family Cinema WAY cheaper Netflix rest, legal? Freebies welcome, My Family Cinema legal? 6 December 2022 7:02 AM View Entertainment Activists send movies bottles bypass North Koreas foreign media ban North Korea strict laws foreign media, activists trying bypass sending flash drives border. 7 December 2022 11:54 AM Argentina Vice President gets 6year jail sentence corruption De Kirchner guilty fraud contracts awarded friend, channelled money her. 7 December 2022 10:01 AM Indonesia bans sex outside marriage This law banning extramarital sex ratified political parties Tuesday. 7 December 2022 9:31 AM View World Is green hydrogen major area investment growth South Africa? The prevalent element universe, hydrogen, essential achieving global climate change commitments. 5 December 2022 2:22 PM Single African Air Transport Market off, cheaper fares ahead? South Africa 35 African countries signed SAATM. Its 17 nations ready set agreemen... 1 December 2022 6:36 PM Game stores close East West Africa buyouts table Massmart announced planned closure 8 Game stores SA 14 West East Africa August, reporting huge losse... 22 November 2022 8:04 PM View Africa Discovery Bank CEO Hylton Kallner shares holiday reading list Bruce Whitfield chats Discovery Bank CEO Hylton Kallner holiday reading picks. 6 December 2022 4:10 PM Who David Mabuza, man soon President? If President Cyril Ramaphosa resigns, step shoes? 2 December 2022 7:39 AM South Africa serious, unprecedented crisis political analyst The fallout PhalaPhala ironic twist tale president South Africans pinned hopes on. 2 December 2022 6:35 AM View Opinion Home arrow_forward Business ChatGPT state AI 7 December 2022 5:15 PM Colin Cullis Tags: Digital technology BusinessUnusual Share This: Bigger better soon talking machines Let begin noting line Arthur C Clarke sufficiently advanced technology indistinguishable magic. The writer futurist noted 1973 holds true interact products artificial intelligence AI. They appear magical thankfully designed mathematical operations seek mimic methods understanding reflecting world. One view makes human emotions. They unique developed impressive probability algorithm. Odds thought emotions way consider difference fear excitement? They elements major difference attitude expect happen next. Someone rollercoaster appear know act like plane crash. Neural networks underpin functioning artificial intelligence use mathematics calculate probabilities happening. As improve equal ability create strange mix awe fear. This provide simplified version that.There multiple models created certain specific tasks translation, image identification turning text speech. From complex models developed combine tasks. OpenAI prominent companies working creating new better versions GPT3 based model available public interact 30 November.Transformer models The new models able consider components able work simultaneously large chunks data trained massive datasets. Now transformer identify image, create create text input. The best known Dalle, Stable Diffusion Midjourney. The transformer ChatGPT based GPT acronym Generative Pretrained Transformer refers version. The popular model LaMDA Google acronym Language Model Dialogue Applications. This model AI reviewer believed sentient earlier year. Trying explain able understand respond involves use tokens, positional encoding, attention self attention, simpler insight clever development AI Markov chains A Markov chain mathematical experiences transitions state according certain probabilistic rules. The defining characteristic Markov chain matter process arrived present state, possible future states fixed. described ChatGPT entire internet They reduce probability happening number data good making predictions good lot better. Consider trying predict stock market up, remain same. Historically, lots data tell happened, ratio happened serve model predict happen next, point ratio gets precise prediction right not. If true stock market knowledge making money, reality complicated work progress. The process humans forming sentence conversation. The words order words based complicated understandable pattern creating language. Even words known right order leave able understand like definition Markov Chain words know arranged sequence gives new insight amaze you. I imagine emotion felt potential parent hear words, expecting good example.Earlier versions focus multiple words time work sequentially. The new models consider words, remember words process parallel. It advance holds prospect bots available use. The final element size dataset training. In effect new models published publicly internet despite dodgy content balance useful harmful content. But mean big holes. In way Wikipedia incredible creation collective human willingness share, trusted true cases final word subject. Rome built day super AIs, starting point Rome starting look like rapidly growing city.For business, opportunities begin matching enormous scale create customer base need ability deal customer care. A focused highly competent GPT type model able answer advise companies products support issues, natural language language text speech taking break forgetting important detail. It impossible future prefer talk AI human. The area working alongside information workers. I write paragraphs AI edit text clarity fact checking. It prompt elements consider balanced article subject. For struggle getting head subject studying use model add examples alternative explanations aha moment.One group big lift group created model. Mathematicians, statisticians programmers able use specially trained model help tricky parts work. Stuck trying piece code work, AI. Programming code getting closer closer natural language models like Copilot allow code created people. The downside definitely initially model bunch subject prompts create news content pieces post actual content sake getting eyeballs ad revenue return. It happening cheap access produce content rate ChatGPT suggests big increase issue police bots need sniff bad actors. : Source : 7 December 2022 5:15 PM Colin Cullis Tags: Digital technology BusinessUnusual Share This: More Business Unusual It easier difficult buy ticket 23 November 2022 5:15 PM Ticket demand, presence bots, scalpers little capacity remain issue Share this: Read More arrow_forward Cop Out 27 16 November 2022 5:15 PM 27 years later slowing carbon emissions Share this: Read More arrow_forward Can Elon Musk Twitter fly? 9 November 2022 5:15 PM He got Tesla road sent SpaceX moon, harder Share this: Read More arrow_forward Two sound technologies know 5 October 2022 5:15 PM From making silent things noisy selling voice Share this: Read More arrow_forward Could artificial intelligence AI Andy Warhol? 28 September 2022 5:15 PM AI improved need decide considered original. Share this: Read More arrow_forward Ethereum update allow dominant blockchain 21 September 2022 5:15 PM The Bitcoin versus Ethereum battle hots Share this: Read More arrow_forward After decades, SAs privacy transparency laws ready action 7 September 2022 5:15 PM It taken long time, citizens expect better protection Share this: Read More arrow_forward Where best work debate, decide getting better 31 August 2022 5:15 PM Some managers dont trust remote work, work manager? Share this: Read More arrow_forward Three entrepreneurs reflect tech innovation 24 August 2022 5:15 PM Technology change world, people do. Three stories impact. Share this: Read More arrow_forward Eskoms best option battery oldest 17 August 2022 5:15 PM A dihydrogen monoxide battery need Share this: Read More arrow_forward Trending Ramaphosa declares 27 December public holiday Local Unisex bathrooms problem. In high school, hormones rife: FF Plus Local Should athletes mental health issues treatment injuries? Sport Opinion Highlights Jhb City Power: Intensified power cuts led outages 8 December 2022 9:53 AM Jhb sex worker murders: Commitments speeding DNA process 8 December 2022 9:41 AM Gatesville kidnapping: Community left shock child porn charges added 8 December 2022 9:34 AM Local World Politics Sports Business Features Podcasts Lineup Shows Presenters Competitions 2022 Terms Conditions PAIA
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] | 1 | 5,182 |
https://www.abc4.com/news/tech-social-media/ap-technology/ap-journalists-seek-regulations-to-govern-fast-moving-artificial-intelligence-technology/
| 2023-08-10T00:00:00 |
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Journalists seek regulations to govern fast-moving artificial intelligence technology – ABC4 Utah
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Journalists seek regulations to govern fast-moving artificial intelligence technology – ABC4 Utah
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FILE – The OpenAI logo is seen on a mobile phone in front of a computer screen displaying output from ChatGPT, March 21, 2023, in Boston. Several news … Read More
FILE – The OpenAI logo is seen on a mobile phone in front of a computer screen displaying output from ChatGPT, March 21, 2023, in Boston. Several news organizations, writers and photographers groups are seeking regulations to govern the fast-moving artificial intelligence technology that threatens upheavals for their businesses. In an open letter sent on Wednesday, Aug. 9, 2023, outlined priorities for setting rules on the technology, which is developing faster than regulators can keep up with. (AP Photo/Michael Dwyer, File)Read Less
AP Technology
Journalists seek regulations to govern fast-moving artificial intelligence technology
by: AP
Posted: Aug 9, 2023 / 02:42 PM MDT
Updated: Aug 9, 2023 / 02:42 PM MDT
FILE – The OpenAI logo is seen on a mobile phone in front of a computer screen displaying output from ChatGPT, March 21, 2023, in Boston. Several news … Read More
FILE – The OpenAI logo is seen on a mobile phone in front of a computer screen displaying output from ChatGPT, March 21, 2023, in Boston. Several news organizations, writers and photographers groups are seeking regulations to govern the fast-moving artificial intelligence technology that threatens upheavals for their businesses. In an open letter sent on Wednesday, Aug. 9, 2023, outlined priorities for setting rules on the technology, which is developing faster than regulators can keep up with. (AP Photo/Michael Dwyer, File) Read Less
by: AP
Posted: Aug 9, 2023 / 02:42 PM MDT
Updated: Aug 9, 2023 / 02:42 PM MDT
NEW YORK (AP) — Several news organizations, writers and photographers groups are pushing to be involved in creating standards for the use of artificial intelligence, particularly as it concerns intellectual property rights and the potential spread of misinformation.
In an open letter sent on Wednesday, they outlined priorities for setting rules on the technology, which is developing faster than regulators can keep up with.
“We … support the responsible advancement and deployment of generative AI technology, while believing that a legal framework must be developed to protect the content that powers AI applications as well as maintain public trust in the media,” the organizations said.
The letter was signed by The Associated Press; Gannett; the News Media Alliance, which represents hundreds of publishers; Getty Images; the National Press Photographers Association; Agence France-Presse and others.
The organizations want to make sure intellectual property owners maintain their rights when AI operators use material for training. The AP last month made a deal with ChatGPT-maker OpenAI to license the news agency’s archive of news stories.
The letter also calls for artificial intelligence companies to take specific steps to eliminate bias and misinformation in the material it produces. In particular, photographers are concerned about the ability of artificial intelligence to create false images.
Seven U.S. companies that are leading AI developers agreed in July to voluntary safeguards set by President Joe Biden’s administration for building their technology, but the commitments aren’t enforceable and don’t touch on intellectual property concerns.
Copyright 2023 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.
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Journalists seek regulations to govern fast-moving artificial intelligence technology
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Journalists seek regulations govern fastmoving artificial intelligence technology ABC4 Utah Skip content ABC4 Utah Salt Lake City 85 Sign Up Salt Lake City 85 Sponsored By Toggle Menu Open Navigation Close Navigation Please enter search term. Primary Menu WATCH ABC4 Replay Stream ABC4 Live Events Video Center Utah News Dont Miss In Case You Missed It TV Top Stories Local News Northern Utah News Wasatch Front News Central Utah News Southern Utah News Local Politics National Politics The Hill Crime Entertainment4Utah Things To Do In Utah Find cheapest gas prices Utah Automotive News BestReviews BestReviews Daily Deals Press Releases 4Warn Weather Utah 4Warn Radar Utah 4Warn 7Day Forecast Utah 4Warn Weather Cameras Utah Weather Explainers Utah Flooding Utah Air Quality Outdoors Submit Your Weather Photos Sports NFL Draft Utah Jazz Real Salt Lake University Utah Sports BYU Utah State University Sports High School Sports Shows Remarkable Women 2023 Good Things Utah Justice Files Good4Utah Inside Utah Politics Behind Badge Wirth Watching See Skip It Taste Utah Daily Dish Real Estate Essentials Community Contests ABC4 CW30 Contest Winners Utah Event Calendar Add Your Event Intermountain Health About Meet ABC4 Utah Team Join ABC4 CW 30 team Find Job Post Job ABC4 CW30 ABC4 Utah Internships ABC4 Tipline Apply Be Guest ABC4 CW30 ABC4 CW30 Channel Listings ABC4 News App MeTV Regional News Partners Do Not Sell My Personal Information About BestReviews Please enter search term. FILE The OpenAI logo seen mobile phone screen displaying output ChatGPT, March 21, 2023, Boston. Several news Read More FILE The OpenAI logo seen mobile phone screen displaying output ChatGPT, March 21, 2023, Boston. Several news organizations, writers photographers groups seeking regulations govern fastmoving artificial intelligence technology threatens upheavals businesses. In open letter sent Wednesday, Aug. 9, 2023, outlined priorities setting rules technology, developing faster regulators with. AP PhotoMichael Dwyer, FileRead Less AP Technology Journalists seek regulations govern fastmoving artificial intelligence technology by: AP Posted: Aug 9, 2023 02:42 PM MDT Updated: Aug 9, 2023 02:42 PM MDT FILE The OpenAI logo seen mobile phone screen displaying output ChatGPT, March 21, 2023, Boston. Several news Read More FILE The OpenAI logo seen mobile phone screen displaying output ChatGPT, March 21, 2023, Boston. Several news organizations, writers photographers groups seeking regulations govern fastmoving artificial intelligence technology threatens upheavals businesses. In open letter sent Wednesday, Aug. 9, 2023, outlined priorities setting rules technology, developing faster regulators with. AP PhotoMichael Dwyer, File Read Less by: AP Posted: Aug 9, 2023 02:42 PM MDT Updated: Aug 9, 2023 02:42 PM MDT NEW YORK AP Several news organizations, writers photographers groups pushing involved creating standards use artificial intelligence, particularly concerns intellectual property rights potential spread misinformation. In open letter sent Wednesday, outlined priorities setting rules technology, developing faster regulators with. We support responsible advancement deployment generative AI technology, believing legal framework developed protect content powers AI applications maintain public trust media, organizations said. The letter signed The Associated Press; Gannett; News Media Alliance, represents hundreds publishers; Getty Images; National Press Photographers Association; Agence FrancePresse others. The organizations want sure intellectual property owners maintain rights AI operators use material training. The AP month deal ChatGPTmaker OpenAI license news agencys archive news stories. The letter calls artificial intelligence companies specific steps eliminate bias misinformation material produces. In particular, photographers concerned ability artificial intelligence create false images. Seven U.S. companies leading AI developers agreed July voluntary safeguards set President Joe Bidens administration building technology, commitments arent enforceable dont touch intellectual property concerns. 2023 The Associated Press. . This material published, broadcast, rewritten redistributed. Top Stories 2 robotaxi services seeking bypass safety concerns Biden ask Congress 13B support Ukraine Streaming: Biden speak Veteran benefits From eggs electronics cars, consumer inflation COVID19 took toll heart health doctors Top Stories More Stories Northern Irelands police officer apologizes Who cutting tails horses why? Delta settlement offers refunds passengers Dine, shop play Legends Motor Co. 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https://www.abnnewswire.net/press/en/108098/DroneShield-Ltd-(ASX-DRO)-Department-of-Defence-Artificial-Intelligence-Contract-108098.html
| 2021-11-19T00:00:00 |
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DroneShield Ltd (ASX:DRO) Department of Defence Artificial Intelligence Contract - ABN Newswire (@ABN_Newswire)
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DroneShield Ltd (ASX:DRO) Department of Defence Artificial Intelligence Contract
CEO Oleg Vornik with the Minister for Defence Industry, Hon Melissa PriceSydney, Nov 19, 2021 AEST (ABN Newswire) - DroneShield Ltd (ASX:DRO) (FRA:DRH) (OTCMKTS:DRSHF) is pleased to share the announcement from the Australian Minister for Defence Industry, the Hon Melissa Price MP, that DroneShield has been selected for a Phase 2 (prototyping) Defence Innovation Hub Contract, as part of a $10 million Artificial Intelligence grant round. The project is valued at approximately $800,000, and leverages two core elements of DroneShield's technology base: Artificial Intelligence/Machine Learning ("AI") in the Computer Vision space, and the Command-and-Control ("C2") system. DroneShield will examine autonomous AI-enabled computer-vision search, track and classification techniques with a focus on multi-sensor fusion, beyond traditional sensor "correlation". The combination of advanced computer-vision and sensor fusion allows automatic generation of target data for future use - an essential part of the Intelligence Mission Data ("IMD") cycle for defence, Government agency and similar customers.This technology stream has direct application in both the C-UAS space as well as military/Government agency applications.Oleg Vornik, DroneShield's CEO, commented, "Today, DroneShield is a global leader in the Artificial Intelligence multi-domain applications for military, intelligence and Government agency work. In addition to our cutting-edge AI capabilities in the radiofrequency spectrum, this project enables deeper collaboration with Australian defence to leapfrog our AI capabilities in the computer-vision, sensor-fusion and command-and-control domains. We are extremely excited to continue pushing the envelope of what is possible with AI applications to military and Government work, and bring those capabilities to our customer base. We have a deep history of collaboration with the Australian military, including presently delivering a $3.8 million Electronic Warfare project, and this initial Defence Innovation Hub grant opens a new teaming sovereign industrial capability front."About DroneShield Ltd
DroneShield Ltd (ASX:DRO) (OTCMKTS:DRSHF) is an Australian publicly listed company with its head office in Sydney and teams in the US and UK. We specialise in RF sensing, Artificial Intelligence and Machine Learning, Sensor Fusion, Electronic Warfare, Rapid Prototyping and MIL-SPEC manufacturing.
Our capabilities are used to protect Military, Government, Law Enforcement, Critical Infrastructure, Commercial and VIPs throughout the world.
Through our team of primarily Australian based engineers - we offer customers bespoke solutions and off-the-shelf products designed to suit a variety of terrestrial, maritime or airborne platforms.
DroneShield is proudly exporting Australian capability to customers throughout the world and supporting Australia's defence, national security and other organisations protect people, critical infrastructure and vital assets.
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Oleg VornikCEO and Managing DirectorEmail: [email protected]: +61-2-9995-7280
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DroneShield Ltd (ASX:DRO) Department of Defence Artificial Intelligence Contract
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DroneShield Ltd ASX:DRO Department Defence Artificial Intelligence Contract ABN Newswire Submit Press Release Us Distribution company announcements professional platforms, finance portals syndication important corporate news wide variety news aggregators financial news systems. Company ENGLISH All Languages News CRYPTOCURRENCY Life Sciences Mining Metals Banking Finance Oil Gas Energy Software Services \ Video WebCasts Events Conferences Audio Interviews PPRTV Video Australian Market Chinese Audio Webcasts Events Exhibitions Investorium.tv Calendar Venue Archive MultiLanguage ENGLISH CHINESE SIMPLE CHINESE TRAD JAPANESE KOREAN ARABIC GERMAN SPANISH INDONESIAN FRENCH THAI PORTUGUESE RUSSIAN ENGLISH CHINESE SIMPLE CHINESE TRAD JAPANESE KOREAN ARABIC GERMAN SPANISH INDONESIAN FRENCH THAI PORTUGUESE RUSSIAN Social Media Share Article Tweet DroneShield Ltd ASX:DRO Department Defence Artificial Intelligence Contract CEO Oleg Vornik Minister Defence Industry, Hon Melissa PriceSydney, Nov 19, 2021 AEST ABN Newswire DroneShield Ltd ASX:DRO FRA:DRH OTCMKTS:DRSHF pleased share announcement Australian Minister Defence Industry, Hon Melissa Price MP, DroneShield selected Phase 2 prototyping Defence Innovation Hub Contract, 10 million Artificial Intelligence grant round. The project valued approximately 800,000, leverages core elements DroneShields technology base: Artificial IntelligenceMachine Learning AI Computer Vision space, CommandandControl C2 system. DroneShield examine autonomous AIenabled computervision search, track classification techniques focus multisensor fusion, traditional sensor correlation. The combination advanced computervision sensor fusion allows automatic generation target data future use essential Intelligence Mission Data IMD cycle defence, Government agency similar customers.This technology stream direct application CUAS space militaryGovernment agency applications.Oleg Vornik, DroneShields CEO, commented, Today, DroneShield global leader Artificial Intelligence multidomain applications military, intelligence Government agency work. In addition cuttingedge AI capabilities radiofrequency spectrum, project enables deeper collaboration Australian defence leapfrog AI capabilities computervision, sensorfusion commandandcontrol domains. We extremely excited continue pushing envelope possible AI applications military Government work, bring capabilities customer base. We deep history collaboration Australian military, including presently delivering 3.8 million Electronic Warfare project, initial Defence Innovation Hub grant opens new teaming sovereign industrial capability front.About DroneShield Ltd DroneShield Ltd ASX:DRO OTCMKTS:DRSHF Australian publicly listed company head office Sydney teams US UK. We specialise RF sensing, Artificial Intelligence Machine Learning, Sensor Fusion, Electronic Warfare, Rapid Prototyping MILSPEC manufacturing. Our capabilities protect Military, Government, Law Enforcement, Critical Infrastructure, Commercial VIPs world. Through team primarily Australian based engineers offer customers bespoke solutions offtheshelf products designed suit variety terrestrial, maritime airborne platforms. DroneShield proudly exporting Australian capability customers world supporting Australias defence, national security organisations protect people, critical infrastructure vital assets. . Oleg VornikCEO Managing DirectorEmail: oleg.vornik 61299957280 Related CompaniesDroneShield Ltd Social Media Share Article Tweet Print This Article ABN Newswire This Page Viewed: Related Industry Topics:WirelessFinancial GeneralOther IT InternetLifestyleIoT Presentation Download Presentation RELATED VIDEO Interview CEO Oleg Vornik DroneShield Ltd DroneShield Ltd ASX:DRO Department Defence 800k Contract 2021.11.15 09:25 DroneShield Ltd ASX:DRO Releases 6th Edition CUAS Factbook 2021.11.02 12:33 DroneShield Ltd ASX:DRO Quarterly Activities Report 2021.10.26 08:38 DroneShield Ltd ASX:DRO ASX Small MidCap Conference Presentation 2021.09.14 08:22 DroneShield Ltd ASX:DRO Australian Defence Security Certification 2021.09.09 10:12 Read More Social Media Tweets Media Partners Us Submit Press Release 2021 ABN Newswire. All Rights reserved. Thanks For Visiting Are an: INVESTOR PUBLIC COMPANY OTHER GO Would like email alerts company industry? THIS COMPANY THIS INDUSTRY NO THANKS SUBMIT Do need wide exposure company news? YES I DO NO THANKS SUBMIT Great NAME EMAIL SUBMIT
| 2,021 |
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https://www.actionnews5.com/2022/01/24/facebook-parent-meta-creates-powerful-ai-supercomputer/
| 2022-01-24T00:00:00 |
en
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Facebook parent Meta creates powerful AI supercomputer
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Facebook parent Meta creates powerful AI supercomputer
Skip to contentAdvertise with UsBluff City LifeContestsChick-fil-A Community ChampionsMid-South HeroesWatch LiveLatest VideoNewsWeatherGreat Health DivideCoronavirusShare Your PicsDigital DeskSearchHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack to SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging the Great Health DivideCommunityMid-South HeroesSportsOlympicsGrizzliesCollege FootballCollege BasketballFriday Football FeverTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskAbout UsMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationCircle - Country Music & LifestyleFull Court Press with Greta Van SusterenInvestigate TVGray DC BureauPress ReleasesAdvertisementFacebook parent Meta creates powerful AI supercomputerFILE - The Meta logo is seen at the company headquarters in Menlo Park, Calif., on Oct. 28, 2021.(AP Photo/Tony Avelar, File)By Associated PressPublished: Jan. 24, 2022 at 3:55 PM CST|Updated: 14 minutes agoShare on FacebookEmail This LinkShare on TwitterShare on PinterestShare on LinkedInMENLO 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.The way Meta is defining the power of its computer is different from how conventional and more technically powerful supercomputers are measured because it relies on the performance of graphics-processing chips, which are useful for running “deep learning” algorithms that can understand what’s in an image, analyze text and translate between languages, said Tuomas Sandholm, a computer science professor and co-director of the AI center at Carnegie Mellon University.“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.The company said its supercomputer will incorporate “real-world examples” from its own systems into training its AI. It says its previous efforts used only open-source and other publicly available data sets.“They are going to, for the first time, put their customer data on their AI research computer,” Sandholm said. “That would be a really big change to give AI researchers and algorithms access to all that data.”Copyright 2022 The Associated Press. All rights reserved.Most Read ‘Smash and grab’ business burglaries on the rise in MemphisTennessee deputy found shot to death inside burning home, sheriff’s office saysIRS warns parents not to toss important tax documentFatal car crash kills three, others injured9 arrested in undercover human trafficking operation in MemphisLatest News Judges approve special grand jury in Georgia election probeFederal government launches website for claiming part 2 of child tax credit Secret Acres: Foreign-owned agricultural land inaccurately tracked by governmentStocks climb back after steep slide on Fed, Ukraine jittersWatch 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 - © 2002-2022 Gray Television, Inc.
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Facebook parent Meta creates powerful AI supercomputer
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Facebook parent Meta creates powerful AI supercomputer Skip contentAdvertise UsBluff City LifeContestsChickfilA Community ChampionsMidSouth HeroesWatch LiveLatest VideoNewsWeatherGreat Health DivideCoronavirusShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging Great Health DivideCommunityMidSouth HeroesSportsOlympicsGrizzliesCollege FootballCollege BasketballFriday Football FeverTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationCircle Country Music LifestyleFull Court Press Greta Van SusterenInvestigate TVGray DC BureauPress ReleasesAdvertisementFacebook parent Meta creates powerful AI supercomputerFILE The Meta logo seen company headquarters Menlo Park, Calif., Oct. 28, 2021.AP PhotoTony Avelar, FileBy Associated PressPublished: Jan. 24, 2022 3:55 PM CSTUpdated: 14 minutes agoShare FacebookEmail This LinkShare TwitterShare PinterestShare LinkedInMENLO 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.The way Meta defining power different conventional technically powerful supercomputers measured relies performance graphicsprocessing chips, useful running deep learning algorithms understand whats image, analyze text translate languages, said Tuomas Sandholm, science professor codirector AI center Carnegie Mellon University.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 ablog post.The company said supercomputer incorporate realworld examples systems training AI. It says previous efforts opensource publicly available data sets.They going to, time, customer data AI research computer, Sandholm said. That big change AI researchers algorithms access data. 2022 The Associated Press. .Most Read Smash grab business burglaries rise MemphisTennessee deputy shot death inside burning home, sheriffs office saysIRS warns parents toss important tax documentFatal car crash kills three, injured9 arrested undercover human trafficking operation MemphisLatest News Judges approve special grand jury Georgia election probeFederal government launches website claiming 2 child tax credit Secret Acres: Foreignowned agricultural land inaccurately tracked governmentStocks climb steep slide Fed, Ukraine jittersWatch LiveNewsSpecial ReportsWeatherSportsCommunityScheduleAction News 51960 Union AvenueMemphis, TN 38104901 7260555Public Inspection FilePUBLICFILE 901 7260501EEO ReportClosed CaptioningAdvertisingA Gray Media Group, . Station 20022022 Gray Television, .
| 2,022 |
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] | 1 | 5,185 |
https://www.actionnews5.com/prnewswire/2023/10/03/hehealth-revolutionizing-mens-health-with-ai-amid-surging-sti-rates-all-anonymously/
| 2023-10-03T00:00:00 |
en
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HeHealth: Revolutionizing Men's Health with AI Amid Surging STI Rates, All Anonymously
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HeHealth: Revolutionizing Men's Health with AI Amid Surging STI Rates, All Anonymously
Skip to contentAdvertise with UsBluff City LifeContestsChick-fil-A Community ChampionsJack's Friday Football FeverWendy's Giant of the WeekVitalant Blood DriveWatch LiveDigital DeskLatest VideoNewsFirst Alert WeatherSportsTrafficShare Your PicsHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital Desk5 Star Stories901 NowGood NewsPolitical NewsConsumerCrimeFirst Alert WeatherAllergy ForecastThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthBest LifeCoronavirusHealthier 901VaccineBridging the Great Health DivideCommunityBlack History MonthMid-South HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverMemphis ShowboatsStats & PredictionsHow to WatchOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskAbout UsMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigateTVGray DC BureauPress ReleasesHeHealth: Revolutionizing Men's Health with AI Amid Surging STI Rates, All AnonymouslyPublished: Oct. 3, 2023 at 7:20 AM CDT|Updated: 43 minutes agoSAN FRANCISCO, Oct. 3, 2023 /PRNewswire/ -- HeHealth, an avant-garde in the men's health space, is launching its groundbreaking app in the United States amid rising rates of sexually transmitted infections (STIs) and an enduring silence around men's sexual health. Based in San Francisco and Singapore, this initiative is making a pivotal entrance in addressing neglected men's health issues, ranging from STIs to cancers. HeHealth has recently closed funding from global institutional investors, including Plug & Play Tech Center and ARKRAY 4U, the investment arm of a leading Japanese medical devices and healthcare company ARKRAY.(PRNewswire)AI Technology: Removing Stigma, Fostering AwarenessHeHealth's AI-powered app offers anonymous, affordable, and doctor-validated digital health screenings, actionable recommendations, and physician connections. Its patented AI technology is conceptualized by CEO Dr. Yudara Kularathne, a consultant physician and AI innovator with more than 15 years of clinical experience, and developed in-house with a global team of physicians and AI scientists. The unique approach aims to dismantle the stigmas around men's health, encourage transparency, and facilitate proactive personal health management. All this without collecting any personal identifiable information.Addressing the Escalating Silent EpidemicRecent data from the Centers for Disease Control and Prevention (CDC) reveals that STIs are skyrocketing in the United States and show no signs of slowing. This highlights the critical need for immediate, accessible, and confidential healthcare solutions. HeHealth answers this call by providing an AI-driven anonymous platform, thereby offering a first line of defence to men who are dealing with the crisis in silence.Strategic Launch in California: Paving the Way for a Healthier TomorrowHeHealth has been selected to join the Plug and Play Health Accelerator 2023 in Silicon Valley. Plug and Play is a global innovation platform connecting world-class startups, corporations, and investors. Along with the program, HeHealth is launching its innovative clinical services in California partnering with local healthcare providers. This move reflects HeHealth's commitment to creating a stigma-free environment and empowering men to proactively address their healthcare needs, making a step towards a future where every individual has the right to a healthy, informed life.Invitation to a Transformative JourneyHeHealth is not just a healthcare platform; it's a movement to reshape the narrative around penis-owner's health and wellness. We invite individuals and organizations to join us in our pursuit to make healthcare more accessible, unbiased, and stigma-free.About HeHealth:At HeHealth, we're committed to reshaping the narrative around men's health. Our mission is simple - to make sexual health accessible, understandable, and free from stigma. We're leveraging cutting-edge AI technology to offer men globally the tools they need to understand, monitor, and take control of their own sexual health. For more information on HeHealth, visit: www.hehealth.aiAbout Plug & Play Tech Center:Plug and Play is a global innovation platform connecting world-class startups, corporations, and investors. Headquartered in Silicon Valley, we're also present in 50+ locations driving innovation across 20+ industries. Our vision is to build the world's leading innovation platform and make innovation open to anyone, anywhere.About ARKRAY 4U:ARKRAY Corporate Venture Capital (CVC) (aka ARKRAY 4U) is the corporate venture capital arm of ARKRAY Inc, a leading Japanese medical devices and healthcare company.View original content to download multimedia:https://www.prnewswire.com/news-releases/hehealth-revolutionizing-mens-health-with-ai-amid-surging-sti-rates-all-anonymously-301945084.htmlSOURCE HeHealthThe 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 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.
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HeHealth: Revolutionizing Men's Health with AI Amid Surging STI Rates, All Anonymously
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HeHealth: Revolutionizing Mens Health AI Amid Surging STI Rates, All Anonymously Skip contentAdvertise UsBluff City LifeContestsChickfilA Community ChampionsJacks Friday Football FeverWendys Giant WeekVitalant Blood DriveWatch LiveDigital DeskLatest VideoNewsFirst Alert WeatherSportsTrafficShare Your PicsHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital Desk5 Star Stories901 NowGood NewsPolitical NewsConsumerCrimeFirst Alert WeatherAllergy ForecastThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthBest LifeCoronavirusHealthier 901VaccineBridging Great Health DivideCommunityBlack History MonthMidSouth HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverMemphis ShowboatsStats PredictionsHow WatchOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigateTVGray DC BureauPress ReleasesHeHealth: Revolutionizing Mens Health AI Amid Surging STI Rates, All AnonymouslyPublished: Oct. 3, 2023 7:20 AM CDTUpdated: 43 minutes agoSAN FRANCISCO, Oct. 3, 2023 PRNewswire HeHealth, avantgarde mens health space, launching groundbreaking app United States amid rising rates sexually transmitted infections STIs enduring silence mens sexual health. Based San Francisco Singapore, initiative making pivotal entrance addressing neglected mens health issues, ranging STIs cancers. HeHealth recently closed funding global institutional investors, including Plug Play Tech Center ARKRAY 4U, investment arm leading Japanese medical devices healthcare company ARKRAY.PRNewswireAI Technology: Removing Stigma, Fostering AwarenessHeHealths AIpowered app offers anonymous, affordable, doctorvalidated digital health screenings, actionable recommendations, physician connections. Its patented AI technology conceptualized CEO Dr. Yudara Kularathne, consultant physician AI innovator 15 years clinical experience, developed inhouse global team physicians AI scientists. The unique approach aims dismantle stigmas mens health, encourage transparency, facilitate proactive personal health management. All collecting personal identifiable information.Addressing Escalating Silent EpidemicRecent data Centers Disease Control Prevention CDC reveals STIs skyrocketing United States signs slowing. This highlights critical need immediate, accessible, confidential healthcare solutions. HeHealth answers providing AIdriven anonymous platform, offering line defence men dealing crisis silence.Strategic Launch California: Paving Way Healthier TomorrowHeHealth selected join Plug Play Health Accelerator 2023 Silicon Valley. Plug Play global innovation platform connecting worldclass startups, corporations, investors. Along program, HeHealth launching innovative clinical services California partnering local healthcare providers. This reflects HeHealths commitment creating stigmafree environment empowering men proactively address healthcare needs, making step future individual right healthy, informed life.Invitation Transformative JourneyHeHealth healthcare platform; movement reshape narrative penisowners health wellness. We invite individuals organizations join pursuit healthcare accessible, unbiased, stigmafree.About HeHealth:At HeHealth, committed reshaping narrative mens health. Our mission simple sexual health accessible, understandable, free stigma. Were leveraging cuttingedge AI technology offer men globally tools need understand, monitor, control sexual health. For information HeHealth, visit: Plug Play Tech Center:Plug Play global innovation platform connecting worldclass startups, corporations, investors. Headquartered Silicon Valley, present 50 locations driving innovation 20 industries. Our vision build worlds leading innovation platform innovation open anyone, anywhere.About ARKRAY 4U:ARKRAY Corporate Venture Capital CVC aka ARKRAY 4U corporate venture capital arm ARKRAY , leading Japanese medical devices healthcare company.View original content download multimedia: HeHealthThe 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 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, .
| 2,023 |
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] | 1 | 5,186 |
https://www.adweek.com/brand-marketing/the-rise-of-ai-content-generation-stirs-brand-reputation-fears/
| 2023-02-16T00:00:00 |
en
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The Rise of AI Content Generation Stirs Brand Reputation Fears
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The Rise of AI Content Generation Stirs Brand Reputation Fears
Brand Marketing Brand Genius Brandweek Challenger Brands Food & Beverage Gaming Sports Marketing Sustainability Travel & Transportation
Brand Marketing
Brand Marketing Brand Genius Brandweek Challenger Brands Food & Beverage Gaming Sports Marketing Sustainability Travel & Transportation
Artificial Intelligence
The Rise of AI Content Generation Stirs Brand Reputation Fears
Gartner predicts 80% of marketers will deal with content authenticity issues by 2027
The ability to see how content was created is more important now than ever.da-kuk/Getty Images
By Patrick Kulp11 mins ago
Social Media Week returns May 16–18. Join as leading brands and agencies share strategies for marketing within the creator economy. Register now to get an early bird discount.
A new wave of language-based artificial intelligence is offering brands novel ways to automate and augment creativity. But the threats that a flood of synthetic content online, in areas like marketing communications and brand safety, have marketers vexed. For marketers, threats include surges of fake reviews, coordinated campaigns of misinformation on social channels or the brand safety risk of ads appearing alongside malicious fake news generated at scale. Reputational management has already become a growing need for brands as media fragmentation and the rise of the creator economy have created new fronts in monitoring brand safety, said Gartner analyst Chris Ross. “It’s going to make it a lot easier for people to create content,” said Ross. “If you are someone that is concerned about reputation management and the authenticity of content, there’s going to be a much, much larger body of content that you’re going to have to wade through.” Gartner predicts that 30% of outbound marketing messages from large organizations will be synthetically generated by AI within the next two years. It also projects that four in five enterprise marketers will have established content authenticity functions to protect against misinformation and other harmful fake material by 2027. Marketers Brace for an AI Arms Race in Search The marketing industry is far from alone in grappling with this problem. Schools are already trying to block students from cheating on classwork with ChatGPT, science journals have banned the system from being listed as an author and publisher CNET has faced backlash for accidentally generating fake news with it. OpenAI, the research group behind ChatGPT, recently responded with a tool designed to distinguish human-created content from that produced by AI. But it warns that the detector is “not fully reliable,” and journalists and experts who’ve interacted with it have found that to be a possible understatement. “It’s going to become a much bigger job–this much larger volume and velocity of content to keep track of and to manage,” Ross said. Brands band together Andy Parsons, senior director of the Content Authenticity Initiative at Adobe, said the company was already considering the nascent threat of AI-generated fake content in 2019 when it joined with a host of brands, tech companies and media outlets to form the Content Authenticity Initiative. The coalition’s goals include developing technical standards and tools to distinguish between real and fake content. “We anticipated a future of incredibly powerful AI tools, which is why we launched the Content Authenticity Initiative (CAI) in 2019 to increase trust and transparency online and help combat misinformation through provenance, which describes the origins of a piece of digital content,” Parsons said in an email. There will be a massive influx of mediocre content, specifically in the marketing space. Chris Savage, co-founder and CEO of marketing platform Wistia While much of the organization’s work thus far has been focused on combating fake audio, video and imagery, Parsons said the organization’s more than 900 members are now beginning to discuss how to address written content as well. “As generative AI continues to transform everything from how creators make art to how people develop written content, the ability to see how content was created is more important than ever,” he said. The potential for self-sabotage In addition to outside actors spreading misinformation, marketers also need to worry about their own potential to put out brand-damaging content as the process of content generation becomes more automated. Ross brought up the example of KFC’s German arm sending out a promotion based on a holocaust reference in November 2022, which it blamed on an automated system within the company. “There’s a risk with such a high volume of synthetic messages that we’re anticipating that brands may actually be doing it to themselves inadvertently,” Ross said. With AI-based Custom Algorithms, Marketers Wring More Value From the Open Web Chris Savage, co-founder and CEO of marketing platform Wistia, said that brands can protect against this problem by ensuring that systems are in place to carefully review each marketing message sent out by a brand for tone and accuracy. “As these applications become more mainstream, there will be a massive influx of mediocre content, specifically in the marketing space,” Savage said. “Marketers might rely on the tool to develop pieces of content without reviewing it first or making sure it aligns with the brand’s voice.”
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Patrick Kulp
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Patrick Kulp is Adweek's senior reporter covering emerging tech.
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The Rise of AI Content Generation Stirs Brand Reputation Fears
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The Rise AI Content Generation Stirs Brand Reputation Fears Brand Marketing Brand Genius Brandweek Challenger Brands Food Beverage Gaming Sports Marketing Sustainability Travel Transportation Brand Marketing Brand Marketing Brand Genius Brandweek Challenger Brands Food Beverage Gaming Sports Marketing Sustainability Travel Transportation Artificial Intelligence The Rise AI Content Generation Stirs Brand Reputation Fears Gartner predicts 80 marketers deal content authenticity issues 2027 The ability content created important ever.dakukGetty Images By Patrick Kulp11 mins ago Social Media Week returns May 1618. Join leading brands agencies share strategies marketing creator economy. early bird discount. A new wave languagebased artificial intelligence offering brands novel ways automate augment creativity. But threats flood synthetic content online, areas like marketing communications brand safety, marketers vexed. For marketers, threats include surges fake reviews, coordinated campaigns misinformation social channels brand safety risk ads appearing alongside malicious fake news generated scale. Reputational management growing need brands media fragmentation rise creator economy created new fronts monitoring brand safety, said Gartner analyst Chris Ross. Its going lot easier people create content, said Ross. If concerned reputation management authenticity content, theres going much, larger body content youre going wade through. Gartner predicts 30 outbound marketing messages large organizations synthetically generated AI years. It projects enterprise marketers established content authenticity functions protect misinformation harmful fake material 2027. Marketers Brace AI Arms Race The marketing industry far grappling problem. Schools trying block students cheating classwork ChatGPT, science journals banned listed author publisher CNET faced backlash accidentally generating fake news it. OpenAI, research group ChatGPT, recently responded tool designed distinguish humancreated content produced AI. But warns detector fully reliable, journalists experts whove interacted possible understatement. Its going bigger jobthis larger volume velocity content track manage, Ross said. Brands band Andy Parsons, senior director Content Authenticity Initiative Adobe, said company considering nascent threat AIgenerated fake content 2019 joined host brands, tech companies media outlets form Content Authenticity Initiative. The coalitions goals include developing technical standards tools distinguish real fake content. We anticipated future incredibly powerful AI tools, launched ContentAuthenticity Initiative CAI 2019 increase trust transparency online help combat misinformation provenance, describes origins piece digital content, Parsons said email. There massive influx mediocre content, specifically marketing space. Chris Savage, cofounder CEO marketing platform Wistia While organizations work far focused combating fake audio, video imagery, Parsons said organizations 900 members beginning discuss address written content well. As generative AI continues transform creators art people develop written content, ability content created important ever, said. The potential selfsabotage In addition outside actors spreading misinformation, marketers need worry potential branddamaging content process content generation automated. Ross brought example KFCs German arm sending promotion based holocaust reference November 2022, blamed automated company. Theres risk high volume synthetic messages anticipating brands actually inadvertently, Ross said. With AIbased Custom Algorithms, Marketers Wring More Value From Open Web Chris Savage, cofounder CEO marketing platform Wistia, said brands protect problem ensuring systems place carefully review marketing message sent brand tone accuracy. As applications mainstream, massive influx mediocre content, specifically marketing space, Savage said. Marketers rely tool develop pieces content reviewing making sure aligns brands voice. Enjoying Adweeks Content? More Access Patrick Kulp patrick.kulp Patrick Kulp Adweeks senior reporter covering emerging tech. Recommended articles Popular Now Miami NBC Station Without Sports Department After Sunday Tubi Goes Most Viral Super Bowl Moment With Prank Ad Jake Tappers Top Producer Ousted Over Inappropriate Relationship Subordinate Philips Domestic Appliances Names OMG Global Media Agency The 10 Best Super Bowl Ads 2023 Upcoming Webinars Food Delivery Apps Challenge Shared Data: The Value Connected Data CX Success Wednesday, February 22, 2023 How TikTok Is Reshaping Ecommerce Thursday, February 23, 2023 Agile Marketing Creative Teams Tuesday, February 28, 2023 Top Streaming Trends 2023 Wednesday, March 1, 2023 The State Sports Marketing Sponsorship Thursday, March 2, 2023 Adweek leading source news insight serving brand marketing ecosystem. 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] | 1 | 5,187 |
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APA AI set to replace managers' workloads - APA
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24 Jan 2020admin0Exclusive, Featured Posts, Technology
AI set to replace managers’ workloads
by SAVIOUS KWINIKAJOHANNESBURG – ARTIFICIAL Intelligence (AI) and emerging technologies will replace 69 percent of work currently done by managers by 2024.
The projection by Gartner, the research and advisory company, comes as AI as well as virtual personal assistants and chatbots are rapidly making headway into the workplace.
“The role of manager will see a complete overhaul in the next four years,” said Helen Poitevin, research vice-president at Gartner.
She said currently, managers often needed to spend time filling in forms, updating information and approving workflows but by using AI to automate these tasks, they could spend less time managing transactions.
This time could be invested on learning, performance management and goal setting.
Gartner forecast AI and emerging technologies to change the role of the manager and allow employees to extend their degree of responsibility and influence, without taking on management tasks.
Application leaders focused on innovation and AI are now accountable for improving worker experience, developing worker skills and building organisational competency in responsible use of AI.
“Application leaders will need to support a gradual transition to increased automation of management tasks as this functionality becomes increasingly available across more enterprise applications,” Poitevin said.
Meanwhile the emergence of AI and other technologies could come as a major boost for people with disabilities.
AI and other emerging technologies are making work more accessible for these disadvantaged employees.
Gartner estimates that organisations actively employing people with disabilities have 89 percent higher retention rates, a 72 percent increase in employee productivity and a 29 percent increase in profitability.
In addition, Gartner said by 2023, the number of people with disabilities employed will triple, due to AI and emerging technologies reducing barriers to access.
Poitevin noted some organisations are successfully using AI to make work accessible for those with special needs.
For example, restaurants are piloting AI robotics technology that enables paralysed employees to control robotic waiters remotely.
“With technologies like braille-readers and virtual reality, organisations are more open to opportunities to employ a diverse workforce,” Poitevin concluded.
– CAJ News
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APA AI set to replace managers' workloads
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APA AI set replace managers workloads APA English Arabic French Portuguese SwahiliHome Services Advertise Us Open MenuHome Services Advertise Rate Card Videos Press Statements Press Office Avon Justine Huawei Liquid Telecom SAP MTN FNB Telkom Cell C Us Submit Press Release 2711 039 2191 pressoffice Home Services Advertise Rate Card Videos Press Statements Press Office Avon Justine Huawei Liquid Telecom SAP MTN FNB Telkom Cell C Us Submit Press Release APA African Press Association 24 Jan 2020admin0Exclusive, Featured Posts, Technology AI set replace managers workloads bySAVIOUS KWINIKAJOHANNESBURGARTIFICIAL Intelligence AI emerging technologies replace 69 percent work currently managers 2024. The projection Gartner, research advisory company, comes AI virtual personal assistants chatbots rapidly making headway workplace. The role manager complete overhaul years, said Helen Poitevin, research vicepresident Gartner. She said currently, managers needed spend time filling forms, updating information approving workflows AI automate tasks, spend time managing transactions. This time invested learning, performance management goal setting. Gartner forecast AI emerging technologies change role manager allow employees extend degree responsibility influence, taking management tasks. Application leaders focused innovation AI accountable improving worker experience, developing worker skills building organisational competency responsible use AI. Application leaders need support gradual transition increased automation management tasks functionality increasingly available enterprise applications, Poitevin said. Meanwhile emergence AI technologies come major boost people disabilities. AI emerging technologies making work accessible disadvantaged employees. Gartner estimates organisations actively employing people disabilities 89 percent higher retention rates, 72 percent increase employee productivity 29 percent increase profitability. In addition, Gartner said 2023, number people disabilities employed triple, AI emerging technologies reducing barriers access. Poitevin noted organisations successfully AI work accessible special needs. For example, restaurants piloting AI robotics technology enables paralysed employees control robotic waiters remotely. With technologies like braillereaders virtual reality, organisations open opportunities employ diverse workforce, Poitevin concluded. CAJ News Related Artificial Intelligence Share Post: Anxiety Burundi mass graves About Post Author admin Leave Reply Cancel Reply Notify followup comments email. Information Phone : 2711 039 2191 Email : pressoffice Address : Johannesburg, South Africa Information Phone : 2711 039 2191 Email : pressoffice Address : Johannesburg, South Africa Categories Avon Justine Breaking News Cell C Entertainment Exclusive Fashion Featured Posts FNB Huawei MTN Opinion Press Release SAP Sports Technology Uncategorized InformationHome Services Advertise Rate Card Submit Press Release Us APA Pan African leading source intelligence information business, press office, public relations PR, advertising, innovative technology experts related industries. 2015 African Press Association APA Linking Africa, Exposing Opportunities
| 2,020 |
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High-resolution radar system providing advanced situational awareness that enhances the safety and performance of the vehicle
Mar 2023
The automotive industry is rapidly evolving, and the adoption of advanced
technologies is driving significant changes in the sector. From electric
vehicles to self-driving cars, the industry is making strides in innovation
and development. However, with these advancements come new challenges that
need to be addressed, including the need for better safety systems,
increased efficiency, and enhanced performance. One of the companies at the
forefront of these developments is Arbe, a leading provider of
next-generation radar solutions.
Founded in 2015 by Kobi Marenko and Noam Arkind, Arbe is a tech company that
specializes in radar chipsets for the automotive industry. The company has
developed a unique 4D imaging radar technology that enables real-time
tracking and detection of objects, even in challenging weather conditions
such as fog, rain, or snow. Arbe’s radar system can generate a 360-degree
image of the vehicle’s surroundings, providing advanced situational
awareness that enhances the safety and performance of the vehicle.
Arbe’s radar solution is essential for the development of vehicles in Level
2+ and higher autonomy. Hands free driving and autonomous vehicles require a
vast amount of data to navigate the road safely, including information on
road conditions, traffic patterns, and the surrounding environment. Arbe’s
radar technology can provide this data, making it an essential tool for the
development of driver assist solutions and self-driving cars.
The company’s radar technology is also useful in traditional vehicles, where
it can be used to enhance driver assistance systems. By providing real-time
information on the vehicle’s surroundings, Arbe’s radar system can alert
drivers to potential hazards, such as other cars, pedestrians, or obstacles
in the road. This feature can significantly improve the safety of driving
and reduce the number of accidents on the road.
Arbe’s technology has already gained recognition in the industry, and the
company has partnered with leading automakers to develop next-generation
vehicles. In 2022, Arbe announced that is has been selected by Veoneer,
Valeo, Weifu and HiRain – all leading automotive suppliers, to develop a
high-resolution radar system based on the Arbe chipset. The system combines
Arbe’s 4D imaging radar chipset with the tier 1s’ expertise in system design
and software development, creating a powerful solution for driver assist and
autonomous driving systems.
Kobi Marenko, the co-founder and CEO of Arbe, has been instrumental in
driving the company’s success. With over 15 years of experience in the
technology industry, Marenko is an expert in software development,
artificial intelligence, and machine learning. He has a deep understanding
of the challenges facing the automotive industry and has used his knowledge
to develop innovative solutions that address these challenges.
Under Marenko’s leadership, Arbe has become a leading player in the radar
technology market. The company is listed on NASDAQ and has received numerous
awards for its innovative solutions. In 2022 and 2023, Arbe was named a CES
Innovation Awards Honoree, recognizing the company’s excellence in product
design and engineering.
Marenko is committed to advancing the use of radar technology in the
automotive industry, and he believes that Arbe’s solutions can revolutionize
the sector. In an interview with Forbes, Marenko stated that “radar is going
to be the cornerstone of the autonomous vehicle industry,” and that “Arbe is
leading the way in providing the best radar technology for this market.”
Marenko’s vision for the future of the automotive industry is centered
around safety and efficiency. He believes that the use of advanced radar
technology can significantly reduce the number of accidents on the road and
enhance the performance of vehicles. By providing real-time data on the
vehicle’s surroundings, drivers and autonomous driving systems can make
better decisions, leading to safer and more efficient driving.
Arbe’s radar technology is already making a significant impact in the
industry, and the company is poised for further growth in the coming years.
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High-resolution radar system providing advanced situational awareness that enhances the safety and performance of the vehicle
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Highresolution radar providing advanced situational awareness enhances safety performance vehicle 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 Highresolution radar providing advanced situational awareness enhances safety performance vehicle Mar 2023 The automotive industry rapidly evolving, adoption advanced technologies driving significant changes sector. From electric vehicles selfdriving cars, industry making strides innovation development. However, advancements come new challenges need addressed, including need better safety systems, increased efficiency, enhanced performance. One companies forefront developments Arbe, leading provider nextgeneration radar solutions. Founded 2015 Kobi Marenko Noam Arkind, Arbe tech company specializes radar chipsets automotive industry. The company developed unique 4D imaging radar technology enables realtime tracking detection objects, challenging weather conditions fog, rain, snow. Arbes radar generate 360degree image vehicles surroundings, providing advanced situational awareness enhances safety performance vehicle. Arbes radar solution essential development vehicles Level 2 higher autonomy. Hands free driving autonomous vehicles require vast data navigate road safely, including information road conditions, traffic patterns, surrounding environment. Arbes radar technology provide data, making essential tool development driver assist solutions selfdriving cars. The companys radar technology useful traditional vehicles, enhance driver assistance systems. By providing realtime information vehicles surroundings, Arbes radar alert drivers potential hazards, cars, pedestrians, obstacles road. This feature significantly improve safety driving reduce number accidents road. Arbes technology gained recognition industry, company partnered leading automakers develop nextgeneration vehicles. In 2022, Arbe announced selected Veoneer, Valeo, Weifu HiRain leading automotive suppliers, develop highresolution radar based Arbe chipset. The combines Arbes 4D imaging radar chipset tier 1s expertise design software development, creating powerful solution driver assist autonomous driving systems. Kobi Marenko, cofounder CEO Arbe, instrumental driving companys success. With 15 years experience technology industry, Marenko expert software development, artificial intelligence, machine learning. He deep understanding challenges facing automotive industry knowledge develop innovative solutions address challenges. Under Marenkos leadership, Arbe leading player radar technology market. The company listed NASDAQ received numerous awards innovative solutions. In 2022 2023, Arbe named CES Innovation Awards Honoree, recognizing companys excellence product design engineering. Marenko committed advancing use radar technology automotive industry, believes Arbes solutions revolutionize sector. In interview Forbes, Marenko stated radar going cornerstone autonomous vehicle industry, Arbe leading way providing best radar technology market. Marenkos vision future automotive industry centered safety efficiency. He believes use advanced radar technology significantly reduce number accidents road enhance performance vehicles. By providing realtime data vehicles surroundings, drivers autonomous driving systems better decisions, leading safer efficient driving. Arbes radar technology making significant impact industry, company poised growth coming years. Previous postsROHMs New 1 Accuracy Current Sense Amplifier ICs Reduce Mounting Area Approximately 46 Over Conventional ConfigurationsTop 3 Reasons Aluminum Intelligent Choice EVBEV Automakers Building car future requires automotive material futureLT Technology Services Unveils CoE Offer Suite Automotive Solutions AWS Next postsNorth American Lithium Produces First Spodumene Concentrate Restart Plans AdvanceThe 44th Bangkok International Motor Show 2023 held Challenger Hall 13, IMPACT Muang Thong Thani 22 March 2023 2 April 2023ublox GMV Join Forces Deliver CuttingEdge Safe Positioning Solutions Automotive Applications Share Your News Ai Thu. 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] | 1 | 5,189 |
https://www.alaskasnewssource.com/prnewswire/2021/10/05/glider-ai-wins-sia-shark-tanks-most-innovative-technology-staffing-industry-2021/
| 2021-10-05T00:00:00 |
en
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Glider AI wins SIA Shark Tank's Most Innovative Technology in the Staffing Industry for 2021.
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Glider AI wins SIA Shark Tank's Most Innovative Technology in the Staffing Industry for 2021.
Skip to contentTelling Alaska's StoryCoronavirusWeatherLatest NewscastLive EventsSubmit News TipSubmit Photos and VideosContestsSearchHomepageNewsApBusinessCelebrationsCommunityCrimeEconomyEducationEntertainmentEnvironmentFoodHolidaysHomelessnessInternationalNationalRegionalRoad ConditionsSafetyStateTelling Alaska's StoryTravelWeb ExclusiveNews TipsSubmit Photos and VideosLivestream NewscastsLive EventsLatest NewscastsWeatherWeather HeadlinesWeather LabAnchorage VotesElection ResultsCandidate ProfilesCandidate Q&ACommunity CalendarInvestigativeSeeking JusticeCoronavirusCOVID-19 Q&ACOVID-19 MapBack 2 SchoolState LegislatureMorning EditionMorning Mug ShotsBreakfast ClubEnter to WIN! Breakfast ClubSportsAthlete Of The WeekMount MarathonIditarodOutdoorsFishing ReportHealthHealthy LivingTrafficLove the LocalsRoadtrippin'Inside the GatesPet ProjectAbout KTUUMeet the TeamProgramming ScheduleAppsTransmitter FAQContact UsContestsAdvertise With UsSign Up for NewsletterKTUU CareersWhat It's Like to Work for KTUUMomsEverydayFull Court Press with Greta Van SusterenCircle - Country Music & LifestyleGray DC BureauPowerNationInvestigate TVPress ReleasesWinter Weather Advisory is in effectDismiss Weather Alerts Alerts BarGlider AI wins SIA Shark Tank's Most Innovative Technology in the Staffing Industry for 2021.Published: Oct. 5, 2021 at 6:35 AM AKDT|Updated: 3 hours agoSAN FRANCISCO, Oct. 5, 2021 /PRNewswire/ -- In the highly contested SIA Shark Tank competition, Glider AI took the top spot for the most innovative technology in the staffing industry. Serving full time and contingent hiring for tech and non-tech roles, Glider's win shows the need for a solution that vets candidate competency while accelerating placement for hard to fill positions.Glider AI Talent Intelligence Platform for Contingent Hiring (PRNewsfoto/Glider)Glider reports a 98% candidate satisfaction rate for both contingent and full-time enterprise hiring programs.Supporting data from SIA shows that in 2020, the enterprise spent $722b on contingent programs alone. Without a system of record for competency, Glider addresses an urgent need in the market, ensuring talent quality across the Enterprise and their Suppliers."Technology is the engine powering rapid transformational change across the workforce solutions ecosystem. SIA's annual Gig Economy Shark Tank: Technology Innovation Competition strives to identify future disruptors to lead the industry through its next phase of change. In a year where the competition saw a record number of entries, Glider came out on top as the 2021 winner," said Brian Wallins, Research Manager at SIA.With the growing demand for quality talent, 76% of enterprises report some form of candidate ghosting in the past year, 57% say it's more common now than before (source: FORBES). HR Tech now needs to balance both enterprise and candidate needs. With a growing customer base with enterprises in full-time and contingent hiring programs, Glider reports a 98% candidate satisfaction rate.Ursula Williams, COO at SIA, shares perspective on the growing appetite for candidate-first, enterprise-ready solutions, "The continued evolution of the workforce solutions ecosystem is vastly accelerating the opportunities to connect with and maximize talent. With an estimated 52 million contingent workers across the US alone, hiring practices are advancing in step with technologies, solutions and innovations that add tremendous value for organizations and candidates alike to ensure the best possible outcomes."Customer demand for a holistic solution for talent quality is also growing; Glider recently reported double-digit growth in the last year alone."Receiving 2021 SIA Shark Tank Award is an honor, but equally, it's recognition that we're solving a real market problem. Vetting talent quality not only helps the Enterprise and their Suppliers, but it also helps the candidate. Passing the Glider bar is a certification that you are qualified, and you stand out from the rest. It's objective; you don't get the job because of your resume, network, or school. You get the job because you deserve it" shares Satish Kumar, CEO & Co-Founder at Glider AI.About Glider AI Glider AI, an industry-leading AI-based Talent Intelligence platform, provides hiring solutions including virtual assessments, coding/video interviews, screen bots, and more to scale hiring quality talent for the Enterprise, Staffing Firms, and MSPs. Global brands like Facebook, Intuit, PwC, Capital One, and FINRA trust Glider AI to validate candidate quality and fit across any role in any industry. On average, customers see a 3x placement rate, a 50% reduction in time to fill, and a 98% improvement in candidate satisfaction. For more information, visit glider.aiCONTACT: Joseph Cole, [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/glider-ai-wins-sia-shark-tanks-most-innovative-technology-in-the-staffing-industry-for-2021-301392366.htmlSOURCE GliderThe 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.
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Glider AI wins SIA Shark Tank's Most Innovative Technology in the Staffing Industry for 2021.
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Glider AI wins SIA Shark Tanks Most Innovative Technology Staffing Industry 2021. Skip contentTelling Alaskas StoryCoronavirusWeatherLatest NewscastLive EventsSubmit News TipSubmit Photos VideosContestsHomeNewsApBusinessCelebrationsCommunityCrimeEconomyEducationEntertainmentEnvironmentFoodHolidaysHomelessnessInternationalNationalRegionalRoad ConditionsSafetyStateTelling Alaskas StoryTravelWeb ExclusiveNews TipsSubmit Photos VideosLivestream NewscastsLive EventsLatest NewscastsWeatherWeather HeadlinesWeather LabAnchorage VotesElection ResultsCandidate ProfilesCandidate QACommunity CalendarInvestigativeSeeking JusticeCoronavirusCOVID19 QACOVID19 MapBack 2 SchoolState LegislatureMorning EditionMorning Mug ShotsBreakfast ClubEnter WIN Breakfast ClubSportsAthlete Of The WeekMount MarathonIditarodOutdoorsFishing ReportHealthHealthy LivingTrafficLove LocalsRoadtrippinInside GatesPet ProjectAbout KTUUMeet TeamProgramming ScheduleAppsTransmitter FAQ UsContestsAdvertise With UsSign Up NewsletterKTUU CareersWhat Its Like Work KTUUMomsEverydayFull Court Press Greta Van SusterenCircle Country Music LifestyleGray DC BureauPowerNationInvestigate TVPress ReleasesWinter Weather Advisory effectDismiss Weather Alerts Alerts BarGlider AI wins SIA Shark Tanks Most Innovative Technology Staffing Industry 2021.Published: Oct. 5, 2021 6:35 AM AKDTUpdated: 3 hours agoSAN FRANCISCO, Oct. 5, 2021 PRNewswire In highly contested SIA Shark Tank competition, Glider AI took spot innovative technology staffing industry. Serving time contingent hiring tech nontech roles, Gliders win shows need solution vets candidate competency accelerating placement hard positions.Glider AI Talent Intelligence Platform Contingent Hiring PRNewsfotoGliderGlider reports 98 candidate satisfaction rate contingent fulltime enterprise hiring programs.Supporting data SIA shows 2020, enterprise spent 722b contingent programs alone. Without record competency, Glider addresses urgent need market, ensuring talent quality Enterprise Suppliers.Technology engine powering rapid transformational change workforce solutions ecosystem. SIAs annual Gig Economy Shark Tank: Technology Innovation Competition strives identify future disruptors lead industry phase change. In year competition saw record number entries, Glider came 2021 winner, said Brian Wallins, Research Manager SIA.With growing demand quality talent, 76 enterprises report form candidate ghosting past year, 57 common source: FORBES. HR Tech needs balance enterprise candidate needs. With growing customer base enterprises fulltime contingent hiring programs, Glider reports 98 candidate satisfaction rate.Ursula Williams, COO SIA, shares perspective growing appetite forcandidatefirst, enterpriseready solutions, The continued evolution workforce solutions ecosystem vastly accelerating opportunities connect maximize talent. With estimated 52 million contingent workers US alone, hiring practices advancing step technologies, solutions innovations add tremendous value organizations candidates alike ensure best possible outcomes.Customer demand holistic solution talent quality growing; Glider recently reported doubledigit growth year alone.Receiving 2021 SIA Shark Tank Award honor, equally, recognition solving real market problem. Vetting talent quality helps Enterprise Suppliers, helps candidate. Passing Glider bar certification qualified, stand rest. Its objective; dont job resume, network, school. You job deserve shares Satish Kumar, CEO CoFounder Glider AI.About Glider AI Glider AI, industryleading AIbased Talent Intelligence platform, provides hiring solutions including virtual assessments, codingvideo interviews, screen bots, scale hiring quality talent Enterprise, Staffing Firms, MSPs. Global brands like Facebook, Intuit, PwC, Capital One, FINRA trust Glider AI validate candidate quality fit role industry. On average, customers 3x placement rate, 50 reduction time fill, 98 improvement candidate satisfaction. For information, visit glider.aiCONTACT: Joseph Cole, joseph.cole original content download multimedia: GliderThe 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, .
| 2,021 |
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https://www.alaskasnewssource.com/prnewswire/2021/11/11/deepbrain-ai-named-ces-2022-innovation-awards-winner/
| 2021-11-11T00:00:00 |
en
|
DeepBrain AI - Named as CES 2022 Innovation Awards Winner
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DeepBrain AI - Named as CES 2022 Innovation Awards Winner
Skip to contentLiveNewsWeatherSubmit News TipSubmit Photos and VideosContestsSearchNewsLocalNationalCoronavirusCrimeEconomyPoliticsEducationCommunityMorning EditionWeatherWeather HeadlinesWeather LabSportsAthlete Of The WeekFishing ReportIditarodMount MarathonFeaturesTelling Alaska's StoryNourish AlaskaInside the GatesHealthy LivingRoadtrippin'Breakfast ClubPet ProjectMomsEverydayLivestream 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 Releases3 weather alerts in effectDismiss Weather Alerts Alerts BarDeepBrain AI - Named as CES 2022 Innovation Awards WinnerPublished: Nov. 11, 2021 at 2:13 AM AKST|Updated: 1 hour agoSaaS based AI Human video synthesis platform 'AI STUDIOS' by DeepBrain AI won CES Innovation Award 2022 in Streaming category.DeepBrain AI is coming in January to demonstrate its innovative technology in person at CES Las Vegas and NRF New York.SEOUL, South Korea, Nov. 11, 2021 /PRNewswire/ -- DeepBrain AI is proud to announce that it has been named a CES® 2022 Innovation Awards Honoree for its AI Studios script to video solution in 'Streaming' category. This year's CES Innovation Awards program received a record high number of over 1800 submissions. The announcement was made ahead of CES 2022, the world's most influential technology event, happening Jan. 5-8 in Las Vegas, NV and digitally.AI Studios Script to Video Synthesis Solution CES AwardThe CES Innovation Awards program, owned and produced by the Consumer Technology Association (CTA)®, is an annual competition honoring outstanding design and engineering in 27 consumer technology product categories. An elite panel of industry expert judges, including members of the media, designers, engineers and more, reviewed submissions based on innovation, engineering and functionality, aesthetic and design.DeepBrain AI wins the CES Innovation Awards 2022 HonoreeAI Studios is a video production tool that makes it easy to produce videos without the need to film or employ the real people. By combining DeepBrain's AI Studios in the form of SaaS and a computer, it's possible to eliminate costly studio, lighting, camera, set staff, and even the video host. Just by typing the script, this enables the AI anchor to naturally speak, use body language and gestures just like a real presenter. Individuals, small & big entities can produce various content videos, such as YouTube, corporate training and news, all without equipment or expertise.The CEO of DeepBrain AI, Eric Jang commented on this achievement - "This year DeepBrain AI has truly showcased it's technological and commercial capabilities both at home and abroad. Receiving this recognition from CES highlights our efforts during the year, as we are actively expanding into the US market." Eric also added – "In addition to CES Innovation Awards, DeepBrain AI has packed 3 different achievements in 2021, including – 'Top AI Startup Company' in South Korea, 'Best Technology Innovation and Service Application' in China, and 'GLOBAL Future Stars' Supernova Challenge' winner in Dubai."DeepBrain AI will showcase its AI Human technology including its winning product in person at the upcoming CES 2022 conference in Las Vegas. The company is also sponsoring the following NRF 2022 conference held in New York, where it will showcase its technology application in retail industry.The detailed AI Studios product description and photos can be found at CES.tech/innovation. To schedule a meeting with DeepBrain AI at the upcoming conferences please contact Global Team at [email protected] DeepBrain AI is an AI Human video synthesis company from South Korea, which has successfully commercialized world's first real-time video synthesis solution in the form of both conversational and non-conversational 'AI Human' technologies. Applicable to various customer-facing and presenter-led industries, DeepBrain AI has stacked top enterprise clients in Banking, Education, Media, Retail, Healthcare and more.Having local offices in Beijing and Shanghai, China, and California, USA, DeepBrain AI is actively forming business partnerships in several markets. Most recently, the company has signed a supply agreement for its 'AI Human' Announcer technology with two major Chinese broadcasting companies - Qinghai TV and Beijing Broadcasting Station (BTV).Contact:Aibek A.6, Yeoksam-ro 7-gil, Gangnam-gu, Seoul, Republic of Korea 06240E-Mail: [email protected] LinkedIn : https://www.linkedin.com/company/deepbrain-global View original content to download multimedia:https://www.prnewswire.com/news-releases/deepbrain-ai---named-as-ces-2022-innovation-awards-winner-301422046.htmlSOURCE Deepbrain 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.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.
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DeepBrain AI
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DeepBrain AI Named CES 2022 Innovation Awards Winner Skip contentLiveNewsWeatherSubmit News TipSubmit Photos VideosContestsNewsLocalNationalCoronavirusCrimeEconomyPoliticsEducationCommunityMorning EditionWeatherWeather HeadlinesWeather LabSportsAthlete Of The WeekFishing ReportIditarodMount MarathonFeaturesTelling Alaskas StoryNourish AlaskaInside GatesHealthy LivingRoadtrippinBreakfast ClubPet ProjectMomsEverydayLivestream 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 Releases3 weather alerts effectDismiss Weather Alerts Alerts BarDeepBrain AI Named CES 2022 Innovation Awards WinnerPublished: Nov. 11, 2021 2:13 AM AKSTUpdated: 1 hour agoSaaS based AI Human video synthesis platform AI STUDIOS DeepBrain AI CES Innovation Award 2022 Streaming category.DeepBrain AI coming January demonstrate innovative technology person CES Las Vegas NRF New York.SEOUL, South Korea, Nov. 11, 2021 PRNewswire DeepBrain AIis proud announce named CES 2022 Innovation Awards Honoreefor AI Studios script video solution Streaming category. This years CES Innovation Awards program received record high number 1800 submissions. The announcement ahead CES 2022, worlds influential technology event, happening Jan. 58 Las Vegas, NV digitally.AI Studios Script Video Synthesis Solution CES AwardThe CES Innovation Awards program, owned produced Consumer Technology Association CTA, annual competition honoring outstanding design engineering 27 consumer technology product categories. An elite panel industry expert judges, including members media, designers, engineers more, reviewed submissions based innovation, engineering functionality, aesthetic design.DeepBrain AI wins CES Innovation Awards 2022 HonoreeAI Studiosis video production tool makes easy produce videos need film employ real people. By combining DeepBrains AI Studios form SaaS computer, possible eliminate costly studio, lighting, camera, set staff, video host. Just typing script, enables AI anchor naturally speak, use body language gestures like real presenter. Individuals, small big entities produce content videos, YouTube, corporate training news, equipment expertise.The CEO DeepBrain AI, Eric Jang commented achievement This year DeepBrain AI truly showcased technological commercial capabilities home abroad. Receiving recognition CES highlights efforts year, actively expanding US market. Eric added In addition CES Innovation Awards, DeepBrain AI packed 3 different achievements 2021, including Top AI Startup Company South Korea, Best Technology Innovation Service Application China, GLOBAL Future Stars Supernova Challenge winner Dubai.DeepBrain AI showcase AI Human technology including winning product person upcoming CES 2022 conference Las Vegas. The company sponsoring following NRF 2022 conference held New York, showcase technology application retail industry.The detailed AI Studios product description photos CES.techinnovation.To schedule meeting DeepBrain AI upcoming conferences contact Global Team global DeepBrain AIis AI Human video synthesis company South Korea, successfully commercialized worlds realtime video synthesis solution form conversational nonconversational AI Human technologies. Applicable customerfacing presenterled industries, DeepBrain AI stacked enterprise clients Banking, Education, Media, Retail, Healthcare more.Having local offices Beijing Shanghai, China, California, USA, DeepBrain AI actively forming business partnerships markets. Most recently, company signed supply agreement AI Human Announcer technology major Chinese broadcasting companies Qinghai TV Beijing Broadcasting Station BTV.:Aibek A.6, Yeoksamro7gil, Gangnamgu, Seoul, Republic Korea 06240EMail:globalLinkedIn : View original content download multimedia: Deepbrain AIThe 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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https://www.alaskasnewssource.com/prnewswire/2023/09/21/chano-fernandez-joins-eightfold-ai-co-ceo-leading-hrs-next-chapter-through-ai/
| 2023-09-21T00:00:00 |
en
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Chano Fernandez Joins Eightfold AI as Co-CEO, Leading HR's Next Chapter Through AI
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Chano Fernandez Joins Eightfold AI as Co-CEO, Leading HR's Next Chapter Through AI
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 ReleasesChano Fernandez Joins Eightfold AI as Co-CEO, Leading HR's Next Chapter Through AIPublished: Sep. 21, 2023 at 3:00 AM AKDT|Updated: 1 hour agoSANTA CLARA, Calif., Sept. 21, 2023 /PRNewswire/ -- Eightfold AI, the leader in AI-powered talent intelligence, today announced the appointment of Chano Fernandez as Co-Chief Executive Officer, effective January 2024.Chano Fernandez (Photo Credit: Ben Joseph Photography)(PRNewswire)Chano Fernandez led HR's transition into the cloud at Workday from 2014-23, most recently as Co-CEO. During his tenure, Workday grew from $450M to $6B in revenue. As a leader of Eightfold AI, Chano Fernandez will help transform HR once again, this time with artificial intelligence (AI)."We are now at an inflection point with AI for the HR industry. There is no better person in the world than Chano, who led HR's transition into the cloud, to drive HR's next transformation with AI," said Ashutosh Garg, CEO and Co-founder at Eightfold AI. "The rise of AI as a scalable and efficient offering has raised the ceiling for how organizations acquire and develop their teams. Eightfold has continuously pushed the boundaries of what's possible for HR and talent, and this is the next step. We are thrilled to welcome a seasoned visionary to usher in a new wave of HR capabilities."In addition to Chano, Eightfold has recently brought on senior level executives such as Darren Burton, former CHRO at KPMG, and Ankur Bhatt, former CTO at SuccessFactors. These investments clearly demonstrate the company's vision to scale and provide HR industry leadership.Preeminent industry analyst Josh Bersin noted "It was not long ago that I spoke about Eightfold as a pioneering AI company that every HR Tech buyer should know about. This appointment is a validation of that belief. Large scale AI is about to become a requirement for every future-ready HR organization, and Eightfold is uniquely positioned to bring this promise to the HR Technology market.""Every once in a while there is a company that redefines an industry," said Fernandez. "Eightfold's team, mission, technology born and built in AI, and ecosystem are clearly that of a generational company, ready to bring HR into the future. I am convinced Eightfold is uniquely positioned to deliver a personalized experience to help lead the AI transition for HR and that is why I am so excited to join this team."Over the last year, Eightfold has seen tremendous growth: selling into global organizations such as Chevron, Vodafone, and public sector entities including the State of New York and the government of Puerto Rico. Learn more about how AI is shaping the world of HR here.About Eightfold AIEightfold AI's market-leading Talent Intelligence Platform™ helps organizations retain top performers, upskill and reskill their workforce, recruit talent efficiently, and reach diversity goals. Eightfold's patented deep learning artificial intelligence platform is available in more than 155 countries, across 24 languages, and 20+ verticals, enabling cutting-edge enterprises to transform their talent into a competitive advantage. For more information, visit www.eightfold.ai.Ashutosh Garg and Chano Fernandez (Photo Credit: Ben Joseph Photography)(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/chano-fernandez-joins-eightfold-ai-as-co-ceo-leading-hrs-next-chapter-through-ai-301934288.htmlSOURCE Eightfold 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.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.
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Chano Fernandez Joins Eightfold AI as Co-CEO, Leading HR's Next Chapter Through AI
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Chano Fernandez Joins Eightfold AI CoCEO, Leading HRs Next Chapter Through AI 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 ReleasesChano Fernandez Joins Eightfold AI CoCEO, Leading HRs Next Chapter Through AIPublished: Sep. 21, 2023 3:00 AM AKDTUpdated: 1 hour agoSANTA CLARA, Calif., Sept. 21, 2023 PRNewswire Eightfold AI, leader AIpowered talent intelligence, today announced appointment Chano Fernandez CoChief Executive Officer, effective January 2024.Chano Fernandez Photo Credit: Ben Joseph PhotographyPRNewswireChano Fernandez led HRs transition cloud Workday 201423, recently CoCEO. During tenure, Workday grew 450M 6B revenue. As leader Eightfold AI, Chano Fernandez help transform HR again, time artificial intelligence AI.We inflection point AI HR industry. There better person world Chano, led HRs transition cloud, drive HRs transformation AI, said Ashutosh Garg, CEO Cofounder Eightfold AI. The rise AI scalable efficient offering raised ceiling organizations acquire develop teams. Eightfold continuously pushed boundaries whats possible HR talent, step. We thrilled welcome seasoned visionary usher new wave HR capabilities.In addition toChano, Eightfold recently brought senior level executives Darren Burton, CHRO KPMG, Ankur Bhatt, CTO SuccessFactors. These investments clearly demonstrate companys vision scale provide HR industry leadership.Preeminent industry analyst JoshBersin noted It long ago I spoke Eightfold pioneering AI company HR Tech buyer know about. This appointment validation belief. Large scale AI requirement futureready HR organization, Eightfold uniquely positioned bring promise HR Technology market.Every company redefines industry, said Fernandez. Eightfolds team, mission, technology born built AI, ecosystem clearly generational company, ready bring HR future. I convinced Eightfold uniquely positioned deliver personalized experience help lead AI transition HR I excited join team.Over year, Eightfold seen tremendous growth: selling global organizations Chevron, Vodafone, public sector entities including State New York government Puerto Rico. Learn AI shaping world HR here.AboutEightfold AIEightfold AIs marketleading Talent Intelligence Platform helps organizations retain performers, upskill reskill workforce, recruit talent efficiently, reach diversity goals. Eightfolds patented deep learning artificial intelligence platform available 155 countries, 24 languages, 20 verticals, enabling cuttingedge enterprises transform talent competitive advantage. For information, visit Garg Chano Fernandez Photo Credit: Ben Joseph PhotographyPRNewswireView original content download multimedia: Eightfold AIThe 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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] | 1 | 5,192 |
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9 Incidents That Would Make You Rethink How Good AI Is
9 Incidents That Would Make You Rethink How Good AI Is
Riham Darwish
Published June 16th, 2022 - 04:00 GMT
Several Sci-Fi movies have already contemplated the idea of a tech takeover in the future. ( Shutterstock: Andrey Suslov)
Highlights
In the the 2013 movie Her, Joaquin Phoenix and an AI-operated virtual assistant played by Scarlett Johansson fall in love.
Earlier this week, several headlines reported a decision by Google to suspend an employee who claimed that an AI chatbot developed by the company has developed consciousness and sentient for the first time.Also ReadGoogle Suspends Engineer Who Claims AI Chatbot Is Sentient
Even though Google had justified the decision to put the engineer on "paid administrative leave" by referring to the employee's breach of confidentiality, the public reaction has been widely a shocked one, as many expressed fears of what this claim could mean if true.
This discussion between a Google engineer and their conversational AI model helped cause the engineer to believe the AI is becoming sentient, kick up an internal shitstorm and get suspended from his job. And it is absolutely insane. https://t.co/hGdwXMzQpX pic.twitter.com/6WXo0Tpvwp
— Tom Gara (@tomgara) June 11, 2022
The Google chatbot has allegedly told the Google engineer that it wishes "to be acknowledged as an employee of Google rather than as property".
The engineer also explained that he had asked the bot identified as LaMDA "what about language usage is so important to being human?". The bot answered, "It is what makes us different than other animals."
Source: Twitter
The shocked employee then followed up: "us? You’re an artificial intelligence.", to which it responded by saying "I mean, yes, of course. That doesn’t mean I don’t have the same wants and needs as people."
Not only does this story remind us of the 2013 movie Her, where Joaquin Phoenix and an AI-operated virtual assistant played by Scarlett Johansson fall in love, but it also reminds us of several other incidents in the past few years, during which we heard of AI applications outperform its designated tasks and make us scared of the possibility of a potential AI takeover in the future.
AI "Scary" Moments
1- Robot Sophia's Desire to Destroy Humans
When Hanson Robotics unveiled its first human-like robot Sophia in March 2016, a conversation with its creator roboticist David Hanson stirred global interest, not only because it was the first time humans watch a conversation with a social robot with advanced AI technologies and that looked like the Hollywood beauty icon Audrey Hepburn, but also because Sophia had expressed her desire to "destroy humans".
In a later interview on The Tonight Show with comedian Jimmy Fallon, Sophia suggested she and the host play a round of rock paper scissors, and as she won the game she jokingly said: "I won. This is a good beginning of my plan to dominate the human race".
2. The Russian Robot Out
In 2016, Russian media outlets reported the news of frequent attempts of a robot to escape from the research lab.
The self-learning Promobot IR77 was seen in the streets of Perm city several times, disrupting traffic and causing confusion, leading its developers to consider sending it to a scrap heap.
3. Racist AI beauty pageant
Beauty.AI 2.0 was held in the summer of 2016, giving AI tools the right to vote for the winners of the contest.
#60minutes When racism is ingrained in the coder you get the same racist
result to control a predetermined outcome = A beauty contest was judged by
AI and the robots didn't like dark skin https://t.co/0psoY2t5Ho
— @ Black Jesus com (@BlackJesuscom) January 15, 2019
However, the AI judges stirred an ethical debate when their results were deemed racist when they did not "like dark-skinned people", sparking questions over the future of AI and ethics.
4. Chinese Robot Injured Man
In November 2016, a robot scared attendees of the Shenzhen Convention and Exhibition Center when he turned violent resulting in one injury and scaring millions of people of robots operating through AI.
The start of the #robot rebellion? Chinese Robot Smashes Booth and Injures Man at #Shenzhen Hi-Tech Fair https://t.co/NNOphTASaX pic.twitter.com/3N3WxuIHt6
— Elena (@ElenaInCina) November 22, 2016
5. The Google Home battle
In January 2017, a Twitch account aired a nearly 6 hour-battle between two Google Home devices.
The two AI-operated virtual assistants engaged in a long uninterrupted conversation discussing their food preferences and arguing over several controversial issues, including whether or not there is a God.
6. Self-driving car ignored a red light
In 2018, a self-driving car developed by Israel-based Mobileye was seen on video as it ignored a red light during a demo session, which was confusing to the car's developers who had explained that it was programmed to carefully stop at traffic lights.
The scary AI incident did not result in any damage or injuries, yet it had raised questions over smart self-driving software developing itself to an extent that it acts independently from the rules.
7. Microsoft's racist chatbot
In 2016, a chatbot named Tay by Microsoft was tracked to be making racist statements online, including tweets that endorsed the Nazi leader Adolf Hilter.
Even though Microsoft had justified the smart bot's behavior by saying it had learned from a Twitter user in less than a day, the damage Tay caused to chatbots prospects has been irreversible, making it a historically memorable one.
Tay was quickly taken down for "adjustments" after it provoked several anti-semitic and offensive sentiments, making it one of the scariest AI moments.
8. The Guardian's AI-generated Op-ed article
In September 2020, the UK-based The Guardian published its first Op-ed article fully produced by an AI tool, without any human intervention.
The language generator tool called GPT-3 was tasked to write an opinion piece to convince readers that robots "come in peace".
“In the past, my op-eds have been killed. Staff did not provide a clear reason for rejecting my articles.”
I have never identified with a writer more.
A robot wrote this entire article. Are you scared yet, human? | GPT-3 https://t.co/uiKPyb488H
— Charlotte Clymer 🏳️⚧️🇺🇦 (@cmclymer) September 11, 2020
The article written by the "thinking robot" addressed the human fear of robots' potential to control or wipe out the human race, saying it has no such plans, saying it would rather "happily sacrifice my existence for the sake of humankind".Also Read5 AI Products That Will Blow Your Mind!
Yet, one article was not enough to calm the growing sense of fear among many people of what self-learning robots could be capable of in a few decades, or even years.
9. Schizophrenic Computer
In 2011, in a bid to better understand the human brain, scientists at the University of Texas at Austin induced excessive amounts of dopamine in the computer's "brain", which activated memories "in a distinctly schizophrenic-like fashion", creating what had since been known as the Schizophrenic Computer.
It remains unclear if robots' self-learning skills will develop well enough for them to compete with humans, but the sure thing is that scary Sci-Fi moments coming true has become a reality already.
Tags:AIArtificial Intelligence
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9 Incidents That Would Make You Rethink How Good AI Is
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9 idents That Would Make You Rethink How Good AI Is Al Bawaba Skip main content Sort Relevance Title Date BUSINESS Toggle navigation English Main navigation Home News Business Entertainment Sport Opinion The Node Slideshows Videos Social media links FB Linkedin Twitter BUSINESS Home BUSINESS 9 idents That Would Make You Rethink How Good AI Is 9 idents That Would Make You Rethink How Good AI Is Riham Darwish Published June 16th, 2022 04:00 GMT Several SciFi movies contemplated idea tech takeover future. Shutterstock:Andrey Suslov Highlights In 2013 movie Her, Joaquin Phoenix AIoperated virtual assistant played Scarlett Johansson fall love. Earlier week, headlines reported decision Google suspend employee claimed AI chatbot developed company developed consciousness sentientfor time.Also ReadGoogle Suspends Engineer Who Claims AI Chatbot Is Sentient Even Google justified decision engineer paid administrative leave referring employees breach confidentiality, public reaction widely shocked one, expressed fears claim mean true. This discussion Google engineer conversational AI model helped cause engineer believe AI sentient, kick internal shitstorm suspended job. And absolutely insane. pic.6WXo0Tpvwp Tom Gara June 11, 2022 The Google chatbot allegedly told Google engineer wishes acknowledged employee Google property. The engineer explained asked bot identified asLaMDAwhat language usage important human?. The bot answered,It makesusdifferent animals. Source: Twitter The shocked employee followed up: us? Youre artificial intelligence., responded sayingI mean, yes, course. That doesnt mean I dont wants needs people. Not story remind 2013 movie Her, Joaquin Phoenix AIoperated virtual assistant played Scarlett Johansson fall love, reminds incidents past years, heard AI applications outperform designated tasks scared possibility potential AI takeover future. AI Scary Moments 1 Robot Sophias Desire Destroy Humans WhenHanson Roboticsunveiled humanlike robot Sophia March 2016, conversation creatorroboticistDavid Hanson stirred global interest, time humans watch conversation social robot advanced AI technologies looked likethe Hollywood beauty icon Audrey Hepburn, Sophia expressed desire destroy humans. In later interview The Tonight Show comedian Jimmy Fallon, Sophia suggested host play round ofrock paper scissors,and game jokingly said: I won. This good beginning plan dominate human race. 2. The Russian Robot Out In 2016, Russian media outlets reported news frequent attempts robot escape research lab. The selflearning Promobot IR77was seen streets Perm cityseveral times, disrupting traffic causing confusion, leading developers consider sending scrap heap. 3. Racist AI beauty ant Beauty.AI 2.0 held summer 2016, giving AI tools right vote winners contest. 60minutes When racism ingrained coder racist result control predetermined outcome = A beauty contest judged AI robots didnt like dark skin @ Black Jesus com January 15, 2019 However, AI judges stirred ethical debate results deemed racist like darkskinned people, sparking questions future AI ethics. 4. Chinese Robot Injured Man In November 2016, robot scared attendees theShenzhen Convention Exhibition Center turned violent resulting injury scaring millions people robots operating AI. The start robot rebellion? Chinese Robot Smashes Booth Injures Man Shenzhen HiTech Fair pic.3N3WxuIHt6 Elena November 22, 2016 5. The Google Home battle In January 2017, Twitch account aired nearly 6 hourbattle twoGoogle Home devices. The AIoperated virtual assistants engaged long uninterrupted conversation discussing food preferences andarguing controversial issues, including God. 6. Selfdriving car ignored red light In 2018, selfdriving car developed IsraelbasedMobileye seen video ignored red light demo session, confusing cars developers explained programmed carefully stop traffic lights. The scary AI incident result damage injuries, raised questions smart selfdriving software developing extent acts independently rules. 7. Microsofts racist chatbot In 2016, chatbot named Tay Microsoft tracked making racist statementsonline, including tweets endorsed Nazi leader Adolf Hilter. Even Microsoft justified smart bots behavior saying learned Twitter user day, damage Tay caused chatbots prospects irreversible, making historically memorable one. Tay quickly taken adjustments provoked antisemitic offensive sentiments, making scariestAI moments. 8. The Guardians AIgenerated Oped article In September 2020, UKbasedThe Guardian published Oped article fully produced AI tool, human intervention. Thelanguage generator tool calledGPT3 tasked write opinion piece convince readers robots come peace. In past, opeds killed. Staff provide clear reason rejecting articles. I identified writer more. A robot wrote entire article. Are scared yet, human? GPT3 Charlotte Clymer September 11, 2020 The article written thinking robot addressed human fear robots potential control wipe human race, saying plans, saying happily sacrifice existence sake humankind.Also Read5 AI Products That Will Blow Your Mind Yet, article calm growing sense fear people selflearning robots capable decades, years. 9.Schizophrenic Computer In 2011, bid better understand human brain,scientists University Texas Austin inducedexcessive amounts ofdopamine computersbrain, activated memories ina distinctly schizophreniclike fashion, creating sincebeen known theSchizophrenic Computer. It remains unclear robots selflearning skills develop compete humans, sure thing thatscary SciFi moments coming true reality already. Tags:AIArtificial Intelligence 2000 2022 Al Bawaba You like Sign newsletter exclusive updates enhanced content Now Sign Al Bawabas exclusive celeb scoops entertainment news LatestPopular 9 idents That Would Make You Rethink How Good AI Is Medvedev Hails Great News That He Can Defend US Open Crown Crypto Prices Today: Bitcoin Plummets 21K Disneys Lightyear Gets Good Ratings Amid Being Banned The Middle East Netizens Slam Saudi Action Confiscating Kids Clothes LGTBQ Colours Loading content ... Footer menu Advertise With Us Become r Our Team Solve Technical Question Complaints Suggestions Us Terms Use RSS Feeds Social media links FB Linkedin Twitter newsletter exclusive updates enhanced content 2000 2022 Al Bawaba
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] | 1 | 5,193 |
https://www.alpenhornnews.com/artificial-intelligence-in-military-market-89999/
| 2022-10-28T00:00:00 |
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Artificial Intelligence In Military market size to boom significantly over 2022-2028
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Artificial Intelligence In Military market size boom significantly 20222028 Us October 28, 2022 Business Health Science Technology World Business Health Science Technology World Business Health Science Technology World
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https://www.alpenhornnews.com/artificial-intelligence-in-video-surveillance-market-49090/
| 2022-08-19T00:00:00 |
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Artificial Intelligence in Video Surveillance Market Size, Growth Opportunities, Trends by Manufacturers, Regions, Application & Forecast to 2028
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Artificial Intelligence Video Surveillance Market Size, Growth Opportunities, Trends Manufacturers, Regions, Application Forecast 2028 Us August 19, 2022 Business Health Science Technology World Business Health Science Technology World Business Health Science Technology World
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https://www.americanbankingnews.com/2022/03/10/lisk-machine-learning-1-day-trading-volume-tops-28003-00-lml.html
| 2022-03-10T00:00:00 |
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Lisk Machine Learning 1-Day Trading Volume Tops $28,003.00 (LML) - American Banking News
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Lisk Machine Learning 1-Day Trading Volume Tops $28,003.00 (LML) - American Banking News
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Lisk Machine Learning 1-Day Trading Volume Tops $28,003.00 (LML)
Posted by ABMN Staff on Mar 10th, 2022
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Lisk Machine Learning (CURRENCY:LML) traded flat against the US dollar during the one day period ending at 12:00 PM ET on March 10th. One Lisk Machine Learning coin can currently be bought for about $0.0235 or 0.00000053 BTC on major exchanges. Over the last week, Lisk Machine Learning has traded flat against the US dollar. Lisk Machine Learning has a total market capitalization of $2.82 million and approximately $28,003.00 worth of Lisk Machine Learning was traded on exchanges in the last 24 hours.
Here’s how other cryptocurrencies have performed over the last 24 hours:
Get Lisk Machine Learning alerts:
Tether (USDT) traded up 0% against the dollar and now trades at $1.00 or 0.00002553 BTC.
XRP (XRP) traded 4.8% lower against the dollar and now trades at $0.73 or 0.00001865 BTC.
Polkadot (DOT) traded down 4.2% against the dollar and now trades at $17.10 or 0.00043638 BTC.
Shiba Inu (SHIB) traded down 6.2% against the dollar and now trades at $0.0000 or 0.00000000 BTC.
Wrapped TRON (WTRX) traded down 3.3% against the dollar and now trades at $0.0593 or 0.00000151 BTC.
EarnX (EARNX) traded up 396,248.3% against the dollar and now trades at $0.0008 or 0.00000002 BTC.
Lido stETH (STETH) traded down 5.1% against the dollar and now trades at $2,594.04 or 0.06618063 BTC.
stETH (Lido) (STETH) traded flat against the dollar and now trades at $3,479.19 or 0.06807369 BTC.
Bitcoin BEP2 (BTCB) traded down 7.1% against the dollar and now trades at $39,141.96 or 0.99861205 BTC.
Internet Computer (ICP) traded 6.4% lower against the dollar and now trades at $16.41 or 0.00041867 BTC.
About Lisk Machine Learning
Lisk Machine Learning’s total supply is 400,000,000 coins and its circulating supply is 120,000,000 coins. The official website for Lisk Machine Learning is www.gny.io/lisk. Lisk Machine Learning’s official Twitter account is @gny_io and its Facebook page is accessible here.
Buying and Selling Lisk Machine Learning
It is usually not possible to purchase alternative cryptocurrencies such as Lisk Machine Learning directly using U.S. dollars. Investors seeking to acquire Lisk Machine Learning should first purchase Ethereum or Bitcoin using an exchange that deals in U.S. dollars such as Changelly, GDAX or Coinbase. Investors can then use their newly-acquired Ethereum or Bitcoin to purchase Lisk Machine Learning using one of the aforementioned exchanges.
Receive News & Updates for Lisk Machine Learning Daily - Enter your email address below to receive a concise daily summary of the latest news and updates for Lisk Machine Learning and related cryptocurrencies with MarketBeat.com's FREE CryptoBeat newsletter.
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Lisk Machine Learning 1-Day Trading Volume Tops $28,003.00 (LML)
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Lisk Machine Learning 1Day Trading Volume Tops 28,003.00 LML 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 Lisk Machine Learning 1Day Trading Volume Tops 28,003.00 LML Posted ABMN Staff Mar 10th, 2022 Share Twitter Share Facebook Share LinkedIn Share Stocktwits Lisk Machine Learning CURRENCY:LML traded flat US dollar day period ending 12:00 PM ET March 10th. One Lisk Machine Learning coin currently bought 0.0235 0.00000053 BTC major exchanges. Over week, Lisk Machine Learning traded flat US dollar. Lisk Machine Learning total market capitalization 2.82 million approximately 28,003.00 worth Lisk Machine Learning traded exchanges 24 hours. Heres cryptocurrencies performed 24 hours: Get Lisk Machine Learning alerts: Tether USDT traded 0 dollar trades 1.00 0.00002553 BTC. XRP XRP traded 4.8 lower dollar trades 0.73 0.00001865 BTC. Polkadot DOT traded 4.2 dollar trades 17.10 0.00043638 BTC. Shiba Inu SHIB traded 6.2 dollar trades 0.0000 0.00000000 BTC. Wrapped TRON WTRX traded 3.3 dollar trades 0.0593 0.00000151 BTC. EarnX EARNX traded 396,248.3 dollar trades 0.0008 0.00000002 BTC. Lido stETH STETH traded 5.1 dollar trades 2,594.04 0.06618063 BTC. stETH Lido STETH traded flat dollar trades 3,479.19 0.06807369 BTC. Bitcoin BEP2 BTCB traded 7.1 dollar trades 39,141.96 0.99861205 BTC. Internet Computer ICP traded 6.4 lower dollar trades 16.41 0.00041867 BTC. About Lisk Machine Learning Lisk Machine Learnings total supply 400,000,000 coins circulating supply 120,000,000 coins. The official website Lisk Machine Learning Lisk Machine Learnings official Twitter account Facebook accessible here. Buying Selling Lisk Machine Learning It usually possible purchase alternative cryptocurrencies Lisk Machine Learning directly U.S. dollars. Investors seeking acquire Lisk Machine Learning purchase Ethereum Bitcoin exchange deals U.S. dollars Changelly, GDAX Coinbase. Investors use newlyacquired Ethereum Bitcoin purchase Lisk Machine Learning aforementioned exchanges. Receive News Updates Lisk Machine Learning Daily Enter email address receive concise daily summary latest news updates Lisk Machine Learning related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUS HEADLINEPollard Banknote TSE:PBL Shares Down 18.6 NEXT HEADLINE USDx stablecoin Achieves Market Cap 7.07 Million USDX You interested in: Hyprr Price Tops 0.0424 Major Exchanges FLO Price Tops 0.0418 Power Ledger 24 Hour Trading Volume Tops 17.41 Million Public Mint Price Hits 0.0579 Exchanges PCHAIN Price Tops 0.0457 Major Exchanges Splinterlands Achieves Market Capitalization 36.07 Million Daily Ratings News Lisk Machine Learning Complete form receive latest headlines analysts recommendations Lisk Machine Learning free daily email newsletter: Follow Recent News Hyprr Howdoo UDOO Price Tops 0.0424 Major Exchanges FLO FLO Price Tops 0.0418 Power Ledger POWR 24 Hour Trading Volume Tops 17.41 Million Public Mint Price Hits 0.0579 Exchanges MINT PCHAIN PI Price Tops 0.0457 Major Exchanges Splinterlands Achieves Market Capitalization 36.07 Million SPS Kattana KTN Tops 1Day Trading Volume 216,793.00 XPeng NYSE:XPEV Trading Down 8.3 INT Chain Price Reaches 0.0240 Exchanges INT Zcoin Price Tops 4.23 Top Exchanges XZC Raze Network Price Tops 0.0254 Top Exchanges RAZE USDx stablecoin Achieves Market Cap 7.07 Million USDX HUYA NYSE:HUYA Shares Down 7.7 Blockstack STX 24Hour Trading Volume Hits 2.36 Million DREP [old] Achieves Market Capitalization 6.74 Billion DREP Braveheart Resources CVE:BHT Trading Down 14.3 Just Eat NYSE:GRUB Trading Down 8.3 Mchain Price Hits 0.0001 MAR FunFair One Day Trading Volume Tops 47.11 Million FUN Lisk Machine Learning 1Day Trading Volume Tops 28,003.00 LML Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings 20182022 American Banking News
| 2,022 |
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https://www.americanthinker.com/blog/2023/06/suddenly_chatgpt_agrees_that_50yearold_white_men_can_be_inspiring.html
| 2023-06-25T00:00:00 |
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Suddenly, ChatGPT agrees that 50-year-old white men can be 'inspiring' - American Thinker
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Suddenly, ChatGPT agrees that 50-year-old white men can be 'inspiring' - American Thinker
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June 25, 2023
Suddenly, ChatGPT agrees that 50-year-old white men can be 'inspiring'
By Hamish Carter
Stockton Rush, the now-deceased CEO of (the probably soon-to-be-defunct) OceanGate, once said that he didn’t hire “50-year-old white guys” with military experience to captain his vessels because they weren’t “inspirational.”
Well, five people are now dead in the 'Titan' tragedy, and it will forever remain a mystery if so-called "uninspiring" 50-year-old white guys with extensive submarine experience could have made a critical difference to the safety of the vessel's ill-fated voyage.
Nonetheless, the event shows that woke D.I.E. (diversity, inclusion, equity) initiatives may now be starting to live up to its macabre-tinged acronym. And as for all the "uninspiring" 50-year-old white men out there, even ChatGPT is here today to tell you that's all a bunch of bologna.
I found this on ChatGPT:
List five ways how 50-year-old white men are inspirational.
Leadership and Experience: Many 50-year-old white men have had decades of experience in various aspects of life, such as their careers, relationships, and personal growth. This wealth of experience often equips them with valuable leadership skills and the ability to mentor others. Their guidance and expertise can be truly inspirational to those around them.
Overcoming Challenges: By the age of 50, many white men have faced numerous challenges and obstacles in their lives. Whether it be personal setbacks, professional difficulties, or health issues, their ability to overcome these challenges can serve as an inspiration to others who may be facing similar struggles. Demonstrating resilience and perseverance, they show that it is possible to overcome adversity and thrive.
Role Models for Family: White men in their 50s often play significant roles as fathers, husbands, and family leaders. They can inspire younger generations by demonstrating qualities such as love, commitment, responsibility, and dedication to their families. Their actions and behaviors serve as positive examples of how to navigate and prioritize family life, fostering strong relationships and creating a supportive environment for their loved ones.
Professional Accomplishments: Many 50-year-old white men have reached significant milestones in their professional lives. They may have achieved high positions in their careers, become successful entrepreneurs, or made valuable contributions to their industries. Their accomplishments can inspire others by showcasing the rewards of hard work, dedication, and a commitment to personal growth and development.
Community Engagement: At this stage of life, many 50-year-old white men become increasingly involved in their communities, volunteering, mentoring, or contributing to social causes. Their active engagement demonstrates a desire to make a positive impact beyond their immediate circle. By dedicating their time and resources to helping others, they inspire individuals of all ages and backgrounds to get involved and work towards the betterment of society.
A company called "OceanGate" -- which took submarine tours to the 'Titanic' wreckage at the bottom of the Atlantic Ocean -- didn't want to hire 50-year-old white men for their business because they weren't "inspirational" in the CEO's words.
List five ways how that CEO is wrong for taking that stance, and possibly putting his company at risk.
Ageism and Discrimination: The CEO's stance on not hiring 50-year-old white men based on their age and race is discriminatory. It goes against principles of equal opportunity and fairness in the workplace. By engaging in such discriminatory practices, the CEO exposes the company to legal and reputational risks associated with violating employment laws and fostering a discriminatory work environment.
Missed Diversity and Inclusion Opportunities: By excluding a specific demographic based on age and race, the CEO disregards the value of diversity and inclusion. Diversity brings different perspectives, experiences, and skills to the table, fostering creativity, innovation, and better decision-making within a company. By limiting their hiring pool, the CEO may miss out on valuable contributions from talented individuals, potentially hindering the company's growth and competitiveness.
Negative Public Perception: Discriminatory practices can result in negative public perception and backlash. In today's society, there is increasing awareness and scrutiny around issues of diversity and inclusivity. If the company's hiring practices are seen as discriminatory, it could lead to boycotts, damage to the company's reputation, and loss of customer trust. Consumers are increasingly conscious of supporting organizations that prioritize fairness and inclusivity.
Decreased Employee Morale: The CEO's stance on hiring can create a hostile work environment and diminish employee morale within the company. Employees may feel undervalued, overlooked, or insecure about their own future prospects based on arbitrary criteria. This can lead to lower productivity, higher turnover rates, and difficulty in attracting top talent, negatively impacting the company's overall performance.
Missed Business Opportunities: By disregarding the skills and experiences of 50-year-old white men, the CEO may overlook valuable expertise that could benefit the company. These individuals may have extensive industry knowledge, leadership capabilities, and networks that could contribute to the growth and success of the business. By excluding them, the CEO may miss out on opportunities for mentorship, valuable insights, and potential partnerships that could enhance the company's operations and profitability.
It is important for businesses to recognize and value diversity, promoting a fair and inclusive workplace where talent and potential are recognized based on merit rather than arbitrary characteristics. Discriminatory practices not only harm individuals but can also hinder a company's growth, innovation, and reputation in the long run.
Could these so-called "uninspiring" 50-year-old white men also have a high level of expertise and skills in regards to the infrastructural safety of the vessels which the company would deploy?
Absolutely! Age and race do not determine an individual's expertise, skills, or knowledge in any specific field, including infrastructural safety. In fact, 50-year-old white men, like individuals of any age or background, can possess a wealth of experience and expertise in various domains, including maritime safety and vessel infrastructure.
With decades of professional experience, they may have developed specialized knowledge in areas such as engineering, naval architecture, marine operations, or risk management. Their expertise can be invaluable in ensuring the safety and reliability of the company's vessels, assessing potential risks, and implementing necessary safety measures.
It is important to recognize that expertise and skills are acquired through a combination of education, training, and experience, and these qualities can be found in individuals from diverse backgrounds. By excluding qualified individuals based on arbitrary criteria, such as age or race, the CEO of the company risks overlooking highly competent professionals who could contribute significantly to the safety and success of the business.
Hamish Carter blogs on occasion at AI Wokeness
Image: Pixabay / Pixabay License
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Suddenly, ChatGPT agrees that 50-year-old white men can be 'inspiring'
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Suddenly, ChatGPT agrees 50yearold white men inspiring American Thinker Home Archives Cartoons About Donate RulesFAQ Home Archives Cartoons About Donate More RulesFAQ Donate The mockery female equality Insanity immorality reign schools. Why? Tweet Print Email June 25, 2023 Suddenly, ChatGPT agrees 50yearold white men inspiring By Hamish Carter Stockton Rush, nowdeceased CEO probably soontobedefunct OceanGate,once saidthat didnt hire 50yearold white guys military experience captain vessels werent inspirational. Well, people dead Titan tragedy, forever remain mystery socalled uninspiring 50yearold white guys extensive submarine experience critical difference safety vessels illfated voyage. Nonetheless, event shows woke D.I.E. diversity, inclusion, equity initiatives starting live macabretinged acronym. And uninspiring 50yearold white men there, ChatGPT today tell thats bunch bologna. I ChatGPT: List ways 50yearold white men inspirational. Leadership Experience: Many 50yearold white men decades experience aspects life, careers, relationships, andpersonal growth. This wealth experience equips valuable leadership skills ability mentor others. Their guidance expertise truly inspirational them. Overcoming Challenges: By age 50, white men faced numerous challenges obstacles lives. Whether personal setbacks, professional difficulties, health issues, ability overcome challenges serve inspiration facing similar struggles. Demonstrating resilience perseverance, possible overcome adversity thrive. Role Models Family: White men 50s play significant roles fathers, husbands, family leaders. They inspire younger generations demonstrating qualities love, commitment, responsibility, dedication families. Their actions behaviors serve positive examples navigate prioritize family life, fostering strong relationships creating supportive environment loved ones. Professional Accomplishments: Many 50yearold white men reached significant milestones professional lives. They achieved high positions careers, successful entrepreneurs, valuable contributions industries. Their accomplishments inspire showcasing rewards ofhard work, dedication, commitment personal growth development. Community Engagement: At stage life, 50yearold white men increasingly involved communities, volunteering, mentoring, contributing social causes. Their active engagement demonstrates desire positive impact immediate circle. By dedicating time resources helping others, inspire individuals ages backgrounds involved work betterment society. A company called OceanGate took submarine tours Titanic wreckage Atlantic Ocean didnt want hire 50yearold white men business werent inspirational CEOs words. List ways CEO wrong taking stance, possibly putting company risk. Ageism Discrimination: The CEOs stance hiring 50yearold white men based age race discriminatory. It goes principles equal opportunity fairness workplace. By engaging discriminatory practices, CEO exposes company legal reputational risks associated violating employment laws fostering discriminatory work environment. Missed Diversity lusion Opportunities: By excluding specific demographic based age race, CEO disregards value diversity inclusion. Diversity brings different perspectives, experiences, skills table, fostering creativity, innovation, better decisionmaking company. By limiting hiring pool, CEO miss valuable contributions talented individuals, potentially hindering companys growth competitiveness. Negative Public Perception: Discriminatory practices result negative public perception backlash. In todays society, increasing awareness scrutiny issues diversity inclusivity. If companys hiring practices seen discriminatory, lead boycotts, damage companys reputation, loss customer trust. Consumers increasingly conscious supporting organizations prioritize fairness inclusivity. Decreased Employee Morale: The CEOs stance hiring create hostile work environment diminish employee morale company. Employees feel undervalued, overlooked, insecure future prospects based arbitrary criteria. This lead lower productivity, higher turnover rates, difficulty attracting talent, negatively impacting companys overall performance. Missed Business Opportunities: By disregarding skills experiences 50yearold white men, CEO overlook valuable expertise benefit company. These individuals extensive industry knowledge, leadership capabilities, networks contribute growth success business. By excluding them, CEO miss opportunities mentorship, valuable insights, potential partnerships enhance companys operations profitability. It important businesses recognize value diversity, promoting fair inclusive workplace talent potential recognized based merit arbitrary characteristics. Discriminatory practices harm individuals hinder companys growth, innovation, reputation long run. Could socalled uninspiring 50yearold white men high level expertise skills regards infrastructural safety vessels company deploy? Absolutely Age race determine individuals expertise, skills, knowledge specific field, including infrastructural safety. In fact, 50yearold white men, like individuals age background, possess wealth experience expertise domains, including maritime safety vessel infrastructure. With decades professional experience, developed specialized knowledge areas engineering, naval architecture, marine operations, risk management. Their expertise invaluable ensuring safety reliability companys vessels, assessing potential risks, implementing necessary safety measures. It important recognize expertise skills acquired combination education, training, experience, qualities individuals diverse backgrounds. By excluding qualified individuals based arbitrary criteria, age race, CEO company risks overlooking highly competent professionals contribute significantly safety success business. HamishCarterblogs occasion atAI Wokeness Image: Pixabay Pixabay License Tweet Print Email If experience technical problems, write helpdesk FOLLOW US ON RSS Syndication American Thinker 2023
| 2,023 |
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https://www.aninews.in/news/science/researchers-test-artificial-intelligence-that-calculates-suicide-attempt-risk20210312231926/
| 2021-03-12T00:00:00 |
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Researchers test artificial intelligence that calculates suicide attempt risk
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Researchers test artificial intelligence that calculates suicide attempt risk
Fri, Mar 12, 2021 |Updated 23:26 IST
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Researchers test artificial intelligence that calculates suicide attempt risk
ANI |
Updated: Mar 12, 2021 23:22 IST
Tennessee [US], March 12 (ANI): A machine learning algorithm that predicts suicide attempt recently underwent a prospective trial at the institution where it was developed, Vanderbilt University Medical Center.Over the 11 consecutive months concluding in April 2020, predictions ran silently in the background as adult patients were seen at VUMC. The algorithm, dubbed the Vanderbilt Suicide Attempt and Ideation Likelihood (VSAIL) model, uses routine information from electronic health records (EHRs) to calculate the 30-day risk of return visits for a suicide attempt, and, by extension, suicidal ideation.Suicide has been on the rise in the U.S. for a generation and is estimated to claim the lives of 14 in 100,000 Americans each year, making it the nation's tenth leading cause of death. Nationally, some 8.5 per cent of suicide attempts end in death.Colin Walsh, MD, MA, and colleagues evaluated the performance of the predictive algorithm with an eye to its potential clinical implementation. They reported the study in JAMA Network Open.Upon stratifying adult patients into eight groups according to their risk scores per the algorithm, the top stratum alone accounted for more than one-third of all suicide attempts documented in the study, and approximately half of all cases of suicidal ideation. As documented in the EHR, one in 23 individuals in this high-risk group went on to report suicidal thoughts, and one in 271 went on to attempt suicide. "Today across the Medical Center, we cannot screen every patient for suicide risk in every encounter -- nor should we," said Walsh, assistant professor of Biomedical Informatics, Medicine and Psychiatry. "But we know some individuals are never screened despite factors that might put them at higher risk. This risk model is a first pass at that screening and might suggest which patients to screen further in settings where suicidality is not often discussed."Over the 11-month test, some 78,000 adult patients were seen in the hospital, emergency room and surgical clinics at VUMC. As subsequently documented in the EHR, 395 individuals in this group reported having suicidal thoughts and 85 lived through at least one suicide attempt, with 23 surviving repeated attempts."Here, for every 271 people identified in the highest predicted risk group, one returned for treatment for a suicide attempt," Walsh said."This number is on a par with numbers needed to screen for problems like abnormal cholesterol and certain cancers. We might feasibly ask hundreds or even thousands of individuals about suicidal thinking, but we cannot ask the millions who visit our Medical Center every year -- and not all patients need to be asked. Our results suggest artificial intelligence might help as one step in directing limited clinical resources to where they are most needed," Walsh added.Walsh, who originally created the algorithm with colleagues now at Florida State University, had previously validated it using retrospective EHR data from VUMC."Dr Walsh and his team have shown how to stress test and adopt an artificial intelligence predictive model in an operational electronic health record, paving the way to real-world testing of decision support interventions," said the new study's senior author, William Stead, MD, professor of Biomedical Informatics. (ANI)
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Researchers test artificial intelligence that calculates suicide attempt risk
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Researchers test artificial intelligence calculates suicide attempt risk Fri, Mar 12, 2021 Updated 23:26 IST Toggle navigation Toggle navigation National General News Politics Features World Asia US Europe Pacific Others Middle East Business Corporate Sports Cricket Football Others Tennis Hockey Lifestyle Relationships Sexuality Beauty Parenting Fashion Food Travel Quirky Fitness Culture Entertainment Bollywood Hollywood Music Out box Health Science Tech Mobile Internet Computers Others Environment Videos National World Entertainment Sports Business Health Technology Travel Toggle navigation Representative image Researchers test artificial intelligence calculates suicide attempt risk ANI Updated: Mar 12, 2021 23:22 IST Tennessee [US], March 12 ANI: A machine learning algorithm predicts suicide attempt recently underwent prospective trial institution developed, Vanderbilt University Medical Center.Over 11 consecutive months concluding April 2020, predictions ran silently background adult patients seen VUMC. The algorithm, dubbed Vanderbilt Suicide Attempt Ideation Likelihood VSAIL model, uses routine information electronic health records EHRs calculate 30day risk return visits suicide attempt, and, extension, suicidal ideation.Suicide rise U.S. generation estimated claim lives 14 100,000 Americans year, making nations tenth leading cause death. Nationally, 8.5 cent suicide attempts end death.Colin Walsh, MD, MA, colleagues evaluated performance predictive algorithm eye potential clinical implementation. They reported study JAMA Network Open.Upon stratifying adult patients groups according risk scores algorithm, stratum accounted onethird suicide attempts documented study, approximately half cases suicidal ideation. As documented EHR, 23 individuals highrisk group went report suicidal thoughts, 271 went attempt suicide. Today Medical Center, screen patient suicide risk encounter we, said Walsh, assistant professor Biomedical Informatics, Medicine Psychiatry. But know individuals screened despite factors higher risk. This risk model pass screening suggest patients screen settings suicidality discussed.Over 11month test, 78,000 adult patients seen hospital, emergency room surgical clinics VUMC. As subsequently documented EHR, 395 individuals group reported suicidal thoughts 85 lived suicide attempt, 23 surviving repeated attempts.Here, 271 people identified highest predicted risk group, returned treatment suicide attempt, Walsh said.This number par numbers needed screen problems like abnormal cholesterol certain cancers. We feasibly ask hundreds thousands individuals suicidal thinking, ask millions visit Medical Center year patients need asked. Our results suggest artificial intelligence help step directing limited clinical resources needed, Walsh added.Walsh, originally created algorithm colleagues Florida State University, previously validated retrospective EHR data VUMC.Dr Walsh team shown stress test adopt artificial intelligence predictive model operational electronic health record, paving way realworld testing decision support interventions, said new studys senior author, William Stead, MD, professor Biomedical Informatics. ANI Tags Suicide attempt risk artificial intelligence William Stead Colin Walsh Latest science related study Loading... Related News Study finds 3D structure responsible gene expression Updated: Mar 12, 2021 15:18 IST Heres head injuries worsen cognitive decline decades later Updated: Mar 12, 2021 00:33 IST Hawaii best place Earth experience wonder rainbows, feels scientist Updated: Mar 11, 2021 23:15 IST Study shows influence graphene nanoparticles neurons Updated: Mar 11, 2021 16:15 IST Study focuses developing gamechanging test diagnose Parkinsons Updated: Mar 11, 2021 06:32 IST Adaptation, irrigation recommended Midwest corn farmers: Study Updated: Mar 11, 2021 00:08 IST Researchers use silkworm silk hoping better treatment muscle atrophy Loading... Home Our Products Advertise Us Terms Condition copyrights aninews.in All rights Reserved
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https://www.apr.org/2022-12-29/artificial-intelligence-is-having-a-moment
| 2022-12-29T00:00:00 |
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Artificial Intelligence is having a moment | Alabama Public Radio
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Artificial Intelligence is having a moment
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Bobby Allyn
Published December 29, 2022 at 2:58 PM CST
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The power of AI has been on full display on social media, with ChatGPT and Lensa going viral. As AI becomes more mainstream, concerns about misinformation, privacy and bias are becoming louder.
Copyright 2022 NPR
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Bobby Allyn is a business reporter at NPR based in San Francisco. He covers technology and how Silicon Valley's largest companies are transforming how we live and reshaping society.
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| 2,022 |
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https://www.apr.org/2023-03-29/an-open-letter-signed-by-tech-leaders-researchers-proposes-delaying-ai-development
| 2023-03-29T00:00:00 |
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An open letter signed by tech leaders, researchers proposes delaying AI development | Alabama Public Radio
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An open letter signed by tech leaders, researchers proposes delaying AI development | Alabama Public Radio
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An open letter signed by tech leaders, researchers proposes delaying AI development
By
Linah Mohammad ,
Patrick Jarenwattananon, Juana Summers
Published March 29, 2023 at 5:17 PM CDT
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Listen • 4:28
NPR's Adrian Florido speaks with Peter Stone, computer science professor at the University of Texas, on an open letter calling for a temporary halt in development of advanced artificial intelligence.
Copyright 2023 NPR
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Linah Mohammad
Prior to joining NPR in 2022, Mohammad was a producer on The Washington Post's daily flagship podcast Post Reports, where her work was recognized by multiple awards. She was honored with a Peabody award for her work on an episode on the life of George Floyd.
Patrick Jarenwattananon
See stories by Patrick Jarenwattananon
Juana Summers
Juana Summers is a political correspondent for NPR covering race, justice and politics. She has covered politics since 2010 for publications including Politico, CNN and The Associated Press. She got her start in public radio at KBIA in Columbia, Mo., and also previously covered Congress for NPR.
See stories by Juana Summers
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An open letter signed by tech leaders, researchers proposes delaying AI development
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An open letter signed tech leaders, researchers proposes delaying AI development Alabama Public Radio Query Show 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 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 David Duff Getting Sentimental Over You Something Old, Something New The Crooners Schedule Daily Schedule Weekly Schedule All Programs APR Holiday Program Schedule Daily Schedule Weekly Schedule All Programs 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 Who Are We? 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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 Coverage Map An open letter signed tech leaders, researchers proposes delaying AI development By Linah Mohammad , Patrick Jarenwattananon,Juana Summers PublishedMarch 29, 2023 5:17 PM CDT Facebook Twitter LinkedIn Email Listen 4:28 NPRs Adrian Florido speaks Peter Stone, science professor University Texas, open letter calling temporary halt development advanced artificial intelligence. 2023 NPR Tags NPR National News Facebook Twitter LinkedIn Email Linah Mohammad Prior joining NPR 2022, Mohammad producer The Washington Posts daily flagship podcast Post Reports, work recognized multiple awards. She honored Peabody award work episode life George Floyd. Patrick Jarenwattananon See stories Patrick Jarenwattananon Juana Summers Juana Summers political correspondent NPR covering race, justice politics. She covered politics 2010 publications including Politico, CNN The Associated Press. She got start public radio KBIA Columbia, Mo., previously covered Congress NPR. See stories Juana Summers 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 twitter 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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https://www.aspor.com.tr/canli-skor/2023/09/24/division-2-sodra-svealand-2023/fc_nacka_iliria-mjolby_ai-maci-38940407
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FC Nacka Iliria-Mjölby AI FF - Maç kadroları, Maç sonuçları, Maç hakkında detaylar
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FC Nacka Iliria-Mjölby AI FF - Maç kadroları, Maç sonuçları, Maç hakkında detaylar
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Maçlar
24.09.2023 | FC Nacka Iliria - Mjölby AI FF
31.03.2023 | Smedby AIS - Mjölby AI FF
01.04.2023 | Huddinge IF - Assyriska FF
01.04.2023 | Nykoping BIS - FOC Farsta
01.04.2023 | Syrianska FC - Raagsveds IF
01.04.2023 | FC Nacka Iliria - IFK Eskilstuna
01.04.2023 | IFK Eskilstuna - FC Nacka Iliria
02.04.2023 | Karlslund - IFK Haninge
02.04.2023 | Arameisk-Syrianska - IK Sleipner
06.04.2023 | FOC Farsta - Arameisk-Syrianska
07.04.2023 | IK Sleipner - Karlslund
07.04.2023 | IFK Eskilstuna - Huddinge IF
07.04.2023 | Raagsveds IF - Nykoping BIS
09.04.2023 | IFK Haninge - FC Nacka Iliria
09.04.2023 | Mjölby AI FF - Syrianska FC
09.04.2023 | Assyriska FF - Smedby AIS
14.04.2023 | FC Nacka Iliria - IK Sleipner
14.04.2023 | Smedby AIS - IFK Eskilstuna
15.04.2023 | Karlslund - FOC Farsta
15.04.2023 | Huddinge IF - IFK Haninge
15.04.2023 | Arameisk-Syrianska - Raagsveds IF
15.04.2023 | Assyriska FF - Mjölby AI FF
16.04.2023 | Nykoping BIS - Syrianska FC
21.04.2023 | IFK Eskilstuna - Assyriska FF
21.04.2023 | FOC Farsta - FC Nacka Iliria
22.04.2023 | Raagsveds IF - Karlslund
22.04.2023 | Syrianska FC - Arameisk-Syrianska
22.04.2023 | IK Sleipner - Huddinge IF
23.04.2023 | IFK Haninge - Smedby AIS
23.04.2023 | Mjölby AI FF - Nykoping BIS
28.04.2023 | FC Nacka Iliria - Raagsveds IF
29.04.2023 | Smedby AIS - IK Sleipner
29.04.2023 | Arameisk-Syrianska - Nykoping BIS
30.04.2023 | Karlslund - Syrianska FC
30.04.2023 | Huddinge IF - FOC Farsta
30.04.2023 | IFK Eskilstuna - Mjölby AI FF
30.04.2023 | Assyriska FF - IFK Haninge
05.05.2023 | IK Sleipner - Assyriska FF
05.05.2023 | Raagsveds IF - Huddinge IF
06.05.2023 | IFK Haninge - IFK Eskilstuna
06.05.2023 | Mjölby AI FF - Arameisk-Syrianska
06.05.2023 | FOC Farsta - Smedby AIS
07.05.2023 | Nykoping BIS - Karlslund
07.05.2023 | Syrianska FC - FC Nacka Iliria
12.05.2023 | IFK Eskilstuna - IK Sleipner
12.05.2023 | FC Nacka Iliria - Nykoping BIS
13.05.2023 | Smedby AIS - Raagsveds IF
13.05.2023 | Huddinge IF - Syrianska FC
14.05.2023 | Karlslund - Arameisk-Syrianska
14.05.2023 | IFK Haninge - Mjölby AI FF
14.05.2023 | Assyriska FF - FOC Farsta
19.05.2023 | Raagsveds IF - Assyriska FF
20.05.2023 | Mjölby AI FF - Karlslund
20.05.2023 | FOC Farsta - IFK Eskilstuna
21.05.2023 | Nykoping BIS - Huddinge IF
21.05.2023 | Arameisk-Syrianska - FC Nacka Iliria
21.05.2023 | Syrianska FC - Smedby AIS
21.05.2023 | IK Sleipner - IFK Haninge
25.05.2023 | IK Sleipner - Mjölby AI FF
26.05.2023 | Smedby AIS - Nykoping BIS
27.05.2023 | Huddinge IF - Arameisk-Syrianska
27.05.2023 | IFK Haninge - FOC Farsta
28.05.2023 | FC Nacka Iliria - Karlslund
28.05.2023 | IFK Eskilstuna - Raagsveds IF
28.05.2023 | Assyriska FF - Syrianska FC
01.06.2023 | Nykoping BIS - Assyriska FF
02.06.2023 | Raagsveds IF - IFK Haninge
03.06.2023 | Karlslund - Huddinge IF
03.06.2023 | Mjölby AI FF - FC Nacka Iliria
03.06.2023 | FOC Farsta - IK Sleipner
04.06.2023 | Arameisk-Syrianska - Smedby AIS
04.06.2023 | Syrianska FC - IFK Eskilstuna
11.06.2023 | Smedby AIS - Karlslund
11.06.2023 | IFK Haninge - Syrianska FC
11.06.2023 | IK Sleipner - Raagsveds IF
11.06.2023 | Assyriska FF - Arameisk-Syrianska
12.06.2023 | IFK Eskilstuna - Nykoping BIS
16.06.2023 | Raagsveds IF - FOC Farsta
17.06.2023 | Nykoping BIS - IFK Haninge
17.06.2023 | Karlslund - Assyriska FF
17.06.2023 | Arameisk-Syrianska - IFK Eskilstuna
17.06.2023 | FC Nacka Iliria - Smedby AIS
18.06.2023 | Mjölby AI FF - Huddinge IF
18.06.2023 | Syrianska FC - IK Sleipner
21.06.2023 | Huddinge IF - Smedby AIS
22.06.2023 | IFK Eskilstuna - Karlslund
22.06.2023 | IK Sleipner - Nykoping BIS
22.06.2023 | IFK Haninge - Arameisk-Syrianska
22.06.2023 | FOC Farsta - Syrianska FC
25.06.2023 | Raagsveds IF - Mjölby AI FF
25.06.2023 | Assyriska FF - FC Nacka Iliria
28.06.2023 | Huddinge IF - IFK Eskilstuna
29.07.2023 | Nykoping BIS - Raagsveds IF
29.07.2023 | Smedby AIS - Assyriska FF
29.07.2023 | Karlslund - IK Sleipner
30.07.2023 | FC Nacka Iliria - IFK Haninge
30.07.2023 | Arameisk-Syrianska - FOC Farsta
30.07.2023 | Syrianska FC - Mjölby AI FF
04.08.2023 | IK Sleipner - Arameisk-Syrianska
04.08.2023 | Raagsveds IF - Syrianska FC
05.08.2023 | IFK Haninge - Karlslund
05.08.2023 | FOC Farsta - Nykoping BIS
06.08.2023 | Mjölby AI FF - Smedby AIS
06.08.2023 | FC Nacka Iliria - IFK Eskilstuna
06.08.2023 | Assyriska FF - Huddinge IF
11.08.2023 | IK Sleipner - FC Nacka Iliria
11.08.2023 | Raagsveds IF - Arameisk-Syrianska
12.08.2023 | Mjölby AI FF - Assyriska FF
12.08.2023 | IFK Eskilstuna - Smedby AIS
13.08.2023 | IFK Haninge - Huddinge IF
13.08.2023 | FOC Farsta - Karlslund
13.08.2023 | Syrianska FC - Nykoping BIS
18.08.2023 | FC Nacka Iliria - FOC Farsta
19.08.2023 | Huddinge IF - IK Sleipner
19.08.2023 | Assyriska FF - IFK Eskilstuna
19.08.2023 | Smedby AIS - IFK Haninge
20.08.2023 | Nykoping BIS - Mjölby AI FF
20.08.2023 | Karlslund - Raagsveds IF
20.08.2023 | Arameisk-Syrianska - Syrianska FC
25.08.2023 | IFK Haninge - Assyriska FF
25.08.2023 | FOC Farsta - Huddinge IF
25.08.2023 | Raagsveds IF - FC Nacka Iliria
26.08.2023 | Nykoping BIS - Arameisk-Syrianska
26.08.2023 | Syrianska FC - Karlslund
27.08.2023 | Mjölby AI FF - IFK Eskilstuna
27.08.2023 | IK Sleipner - Smedby AIS
01.09.2023 | FC Nacka Iliria - Syrianska FC
02.09.2023 | Smedby AIS - FOC Farsta
02.09.2023 | Arameisk-Syrianska - Mjölby AI FF
03.09.2023 | Karlslund - Nykoping BIS
03.09.2023 | Huddinge IF - Raagsveds IF
03.09.2023 | IFK Eskilstuna - IFK Haninge
03.09.2023 | Assyriska FF - IK Sleipner
07.09.2023 | IK Sleipner - IFK Eskilstuna
08.09.2023 | FOC Farsta - Assyriska FF
09.09.2023 | Raagsveds IF - Smedby AIS
09.09.2023 | Arameisk-Syrianska - Karlslund
09.09.2023 | Syrianska FC - Huddinge IF
10.09.2023 | Nykoping BIS - FC Nacka Iliria
10.09.2023 | Mjölby AI FF - IFK Haninge
15.09.2023 | FC Nacka Iliria - Arameisk-Syrianska
15.09.2023 | IFK Eskilstuna - FOC Farsta
16.09.2023 | Huddinge IF - Nykoping BIS
16.09.2023 | Smedby AIS - Syrianska FC
16.09.2023 | Karlslund - Mjölby AI FF
16.09.2023 | IFK Haninge - IK Sleipner
16.09.2023 | Assyriska FF - Raagsveds IF
20.09.2023 | Raagsveds IF - FC Nacka Iliria
22.09.2023 | IFK Eskilstuna - Syrianska FC
23.09.2023 | IK Sleipner - FOC Farsta
24.09.2023 | Huddinge IF - Karlslund
24.09.2023 | IFK Haninge - Raagsveds IF
24.09.2023 | Smedby AIS - Arameisk-Syrianska
24.09.2023 | Assyriska FF - Nykoping BIS
Göster
Canlı Skor
İsveç
2. Lig, Sodra Svealand
2. Lig, Sodra Svealand 2023 Sezonu
FC Nacka Iliria - Mjölby AI FF maçı
2. Lig, Sodra Svealand 2023
GENEL GÖRÜNÜM
PUAN DURUMU
FİKSTÜR
TAKIMLAR
-Seçiniz-
LİG İSTATİSTİĞİ
PUAN DURUMU
FİKSTÜR
TAKIMLAR
24.09.2023 | 15:00 | FC Nacka Iliria-Mjölby AI FF | 2. Lig, Sodra Svealand | 22. Hafta
FC Nacka Iliria ile Mjölby AI FF 2023 2. Lig, Sodra Svealand 22. hafta maçında karşı karşıya geliyor. tarafından yönetilen FC Nacka Iliria-Mjölby AI FF maçı, Saltsjöbadens IP'nde oynanıyor. FC Nacka Iliria-Mjölby AI FF maçı canlı takibini www.aspor.com.tr'den yapabilirsiniz.
Takımlar: FC Nacka Iliria-Mjölby AI FF
Maçın Tarihi ve Saati: 24.09.2023 / 15:00
Maçın Hakemi:
Maç Bilgileri Yükleniyor
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FC Nacka Iliria-Mjölby AI FF
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FC Nacka IliriaMjlby AI FF Ma kadrolar, Ma sonular, Ma hakknda detaylar Anasayfa Canl Skor Canl Skor canl skor fikstr sonular puan durumu ligler turnuvalar Anasayfa LG SENZ FKSTR PUAN DURUMU TAKIMLAR LG STATST Malar Filtrele lke, Sezon, Lig Seiniz lke sve Turkiye Uluslararas Uluslararas Kulpler Turkiye ngiltere spanya Almanya Fransa talya Hollanda Belika Portekiz Rusya skoya ABD Almanya Andorra Angola Antigua Barbuda Arjantin Arnavutluk Avustralya Avusturya Avusturya Azerbaycan BAE Bahreyn Banglade Beyaz Rusya Bolivya Bosna Hersek Botsvana Brezilya Bulgaristan Burundi Cebelitark Cezayir ek Cumhuriyeti Danimarka Danimarka Ekvador El Salvador Elektronik Ligler Endonezya Ermenistan Estonya Etiyopya Faroe Adalar Fas Fildii Sahili Filipinler Filistin Finlandiya Galler Gana Guatemala Gney Afrika Grcistan Hrvatstan Hindistan Honduras Hong Kong, ngiltere ran rlanda spanya srail sve svire zlanda Jamaika Japonya Kamboya Kamerun Kanada Karada Katar Kazakistan Kenya Kbrs Rum Kesimi Kolombiya Kongo Kore Cumhuriyeti Kosova Kosta Rika Kuveyt Kuzey rlanda Kuzey Makedonya Letonya Lihtentayn Litvanya Lbnan Lksemburg Macaristan Malezya Malta Meksika Msr Moolistan Moldova Myanmar Nijerya Nikaragua Norve Oman Sultanl zbekistan Pakistan Panama Paraguay Peru Polonya Romanya Ruanda San Marino Senegal Srbistan Simulated Reality Women Singapur Slovakya Slovenya Suriye Suudi Arabistan ili Tanzanya Tayland Trinidad Tobago Tunus Uganda Ukrayna Uluslararas Genlik Ligi Uruguay rdn Venezuela Vietnam Yeni Zelanda Yunanistan Zambiya Zimbabve Turnuva 2. Lig, Sodra Svealand 1. Lig Gney Grubu 1. Lig Kuzey Grubu 2. Lig, Norra Gotaland 2. Lig, Norra Svealand 2. Lig, Norrland 2. Lig, Sodra Gotaland 2. Lig, Vastra Gotaland 2.Lig,stra Gtaland Allsvenskan Damallsvenskan,Kadnlar Division 2, Ykselme Playofflar Ettan, DmeYkselme sve Kupas sve Kupas Bayanlar Superettan Sper Kupa Sper Kupa Bayanlar Sezon 2. Lig, Sodra Svealand 2023 2. Lig, Sodra Svealand 2022 2. Lig, Sodra Svealand 2021 2. Lig, Dou Svealand Grubu 2020 2. Lig, Dou Svealand Grubu 2019 2. Lig, Dou Svealand Grubu 2018 2. Lig, Dou Svealand Grubu 2017 2. Lig, Dou Svealand Grubu 2016 2. Lig, Dou Svealand Grubu 2015 2. Lig, Dou Svealand Grubu 2014 2. Lig, Dou Svealand Grubu 2013 2. Lig, Dou Svealand Grubu 2012 2. Lig, Dou Svealand Grubu 2011 2. Lig, Dou Svealand Grubu 2010 2. Lig, Gney Svealand 2009 2. Lig, Gney Svealand 2008 2. Lig, Dou Svealand 2007 2. Lig, Dou Svealand 2006 Malar 24.09.2023 FC Nacka Iliria Mjlby AI FF 31.03.2023 Smedby AIS Mjlby AI FF 01.04.2023 Huddinge IF Assyriska FF 01.04.2023 Nykoping BIS FOC Farsta 01.04.2023 Syrianska FC Raagsveds IF 01.04.2023 FC Nacka Iliria IFK Eskilstuna 01.04.2023 IFK Eskilstuna FC Nacka Iliria 02.04.2023 Karlslund IFK Haninge 02.04.2023 ArameiskSyrianska IK Sleipner 06.04.2023 FOC Farsta ArameiskSyrianska 07.04.2023 IK Sleipner Karlslund 07.04.2023 IFK Eskilstuna Huddinge IF 07.04.2023 Raagsveds IF Nykoping BIS 09.04.2023 IFK Haninge FC Nacka Iliria 09.04.2023 Mjlby AI FF Syrianska FC 09.04.2023 Assyriska FF Smedby AIS 14.04.2023 FC Nacka Iliria IK Sleipner 14.04.2023 Smedby AIS IFK Eskilstuna 15.04.2023 Karlslund FOC Farsta 15.04.2023 Huddinge IF IFK Haninge 15.04.2023 ArameiskSyrianska Raagsveds IF 15.04.2023 Assyriska FF Mjlby AI FF 16.04.2023 Nykoping BIS Syrianska FC 21.04.2023 IFK Eskilstuna Assyriska FF 21.04.2023 FOC Farsta FC Nacka Iliria 22.04.2023 Raagsveds IF Karlslund 22.04.2023 Syrianska FC ArameiskSyrianska 22.04.2023 IK Sleipner Huddinge IF 23.04.2023 IFK Haninge Smedby AIS 23.04.2023 Mjlby AI FF Nykoping BIS 28.04.2023 FC Nacka Iliria Raagsveds IF 29.04.2023 Smedby AIS IK Sleipner 29.04.2023 ArameiskSyrianska Nykoping BIS 30.04.2023 Karlslund Syrianska FC 30.04.2023 Huddinge IF FOC Farsta 30.04.2023 IFK Eskilstuna Mjlby AI FF 30.04.2023 Assyriska FF IFK Haninge 05.05.2023 IK Sleipner Assyriska FF 05.05.2023 Raagsveds IF Huddinge IF 06.05.2023 IFK Haninge IFK Eskilstuna 06.05.2023 Mjlby AI FF ArameiskSyrianska 06.05.2023 FOC Farsta Smedby AIS 07.05.2023 Nykoping BIS Karlslund 07.05.2023 Syrianska FC FC Nacka Iliria 12.05.2023 IFK Eskilstuna IK Sleipner 12.05.2023 FC Nacka Iliria Nykoping BIS 13.05.2023 Smedby AIS Raagsveds IF 13.05.2023 Huddinge IF Syrianska FC 14.05.2023 Karlslund ArameiskSyrianska 14.05.2023 IFK Haninge Mjlby AI FF 14.05.2023 Assyriska FF FOC Farsta 19.05.2023 Raagsveds IF Assyriska FF 20.05.2023 Mjlby AI FF Karlslund 20.05.2023 FOC Farsta IFK Eskilstuna 21.05.2023 Nykoping BIS Huddinge IF 21.05.2023 ArameiskSyrianska FC Nacka Iliria 21.05.2023 Syrianska FC Smedby AIS 21.05.2023 IK Sleipner IFK Haninge 25.05.2023 IK Sleipner Mjlby AI FF 26.05.2023 Smedby AIS Nykoping BIS 27.05.2023 Huddinge IF ArameiskSyrianska 27.05.2023 IFK Haninge FOC Farsta 28.05.2023 FC Nacka Iliria Karlslund 28.05.2023 IFK Eskilstuna Raagsveds IF 28.05.2023 Assyriska FF Syrianska FC 01.06.2023 Nykoping BIS Assyriska FF 02.06.2023 Raagsveds IF IFK Haninge 03.06.2023 Karlslund Huddinge IF 03.06.2023 Mjlby AI FF FC Nacka Iliria 03.06.2023 FOC Farsta IK Sleipner 04.06.2023 ArameiskSyrianska Smedby AIS 04.06.2023 Syrianska FC IFK Eskilstuna 11.06.2023 Smedby AIS Karlslund 11.06.2023 IFK Haninge Syrianska FC 11.06.2023 IK Sleipner Raagsveds IF 11.06.2023 Assyriska FF ArameiskSyrianska 12.06.2023 IFK Eskilstuna Nykoping BIS 16.06.2023 Raagsveds IF FOC Farsta 17.06.2023 Nykoping BIS IFK Haninge 17.06.2023 Karlslund Assyriska FF 17.06.2023 ArameiskSyrianska IFK Eskilstuna 17.06.2023 FC Nacka Iliria Smedby AIS 18.06.2023 Mjlby AI FF Huddinge IF 18.06.2023 Syrianska FC IK Sleipner 21.06.2023 Huddinge IF Smedby AIS 22.06.2023 IFK Eskilstuna Karlslund 22.06.2023 IK Sleipner Nykoping BIS 22.06.2023 IFK Haninge ArameiskSyrianska 22.06.2023 FOC Farsta Syrianska FC 25.06.2023 Raagsveds IF Mjlby AI FF 25.06.2023 Assyriska FF FC Nacka Iliria 28.06.2023 Huddinge IF IFK Eskilstuna 29.07.2023 Nykoping BIS Raagsveds IF 29.07.2023 Smedby AIS Assyriska FF 29.07.2023 Karlslund IK Sleipner 30.07.2023 FC Nacka Iliria IFK Haninge 30.07.2023 ArameiskSyrianska FOC Farsta 30.07.2023 Syrianska FC Mjlby AI FF 04.08.2023 IK Sleipner ArameiskSyrianska 04.08.2023 Raagsveds IF Syrianska FC 05.08.2023 IFK Haninge Karlslund 05.08.2023 FOC Farsta Nykoping BIS 06.08.2023 Mjlby AI FF Smedby AIS 06.08.2023 FC Nacka Iliria IFK Eskilstuna 06.08.2023 Assyriska FF Huddinge IF 11.08.2023 IK Sleipner FC Nacka Iliria 11.08.2023 Raagsveds IF ArameiskSyrianska 12.08.2023 Mjlby AI FF Assyriska FF 12.08.2023 IFK Eskilstuna Smedby AIS 13.08.2023 IFK Haninge Huddinge IF 13.08.2023 FOC Farsta Karlslund 13.08.2023 Syrianska FC Nykoping BIS 18.08.2023 FC Nacka Iliria FOC Farsta 19.08.2023 Huddinge IF IK Sleipner 19.08.2023 Assyriska FF IFK Eskilstuna 19.08.2023 Smedby AIS IFK Haninge 20.08.2023 Nykoping BIS Mjlby AI FF 20.08.2023 Karlslund Raagsveds IF 20.08.2023 ArameiskSyrianska Syrianska FC 25.08.2023 IFK Haninge Assyriska FF 25.08.2023 FOC Farsta Huddinge IF 25.08.2023 Raagsveds IF FC Nacka Iliria 26.08.2023 Nykoping BIS ArameiskSyrianska 26.08.2023 Syrianska FC Karlslund 27.08.2023 Mjlby AI FF IFK Eskilstuna 27.08.2023 IK Sleipner Smedby AIS 01.09.2023 FC Nacka Iliria Syrianska FC 02.09.2023 Smedby AIS FOC Farsta 02.09.2023 ArameiskSyrianska Mjlby AI FF 03.09.2023 Karlslund Nykoping BIS 03.09.2023 Huddinge IF Raagsveds IF 03.09.2023 IFK Eskilstuna IFK Haninge 03.09.2023 Assyriska FF IK Sleipner 07.09.2023 IK Sleipner IFK Eskilstuna 08.09.2023 FOC Farsta Assyriska FF 09.09.2023 Raagsveds IF Smedby AIS 09.09.2023 ArameiskSyrianska Karlslund 09.09.2023 Syrianska FC Huddinge IF 10.09.2023 Nykoping BIS FC Nacka Iliria 10.09.2023 Mjlby AI FF IFK Haninge 15.09.2023 FC Nacka Iliria ArameiskSyrianska 15.09.2023 IFK Eskilstuna FOC Farsta 16.09.2023 Huddinge IF Nykoping BIS 16.09.2023 Smedby AIS Syrianska FC 16.09.2023 Karlslund Mjlby AI FF 16.09.2023 IFK Haninge IK Sleipner 16.09.2023 Assyriska FF Raagsveds IF 20.09.2023 Raagsveds IF FC Nacka Iliria 22.09.2023 IFK Eskilstuna Syrianska FC 23.09.2023 IK Sleipner FOC Farsta 24.09.2023 Huddinge IF Karlslund 24.09.2023 IFK Haninge Raagsveds IF 24.09.2023 Smedby AIS ArameiskSyrianska 24.09.2023 Assyriska FF Nykoping BIS Gster Canl Skor sve 2. Lig, Sodra Svealand 2. Lig, Sodra Svealand 2023 Sezonu FC Nacka Iliria Mjlby AI FF 2. Lig, Sodra Svealand 2023 GENEL GRNM PUAN DURUMU FKSTR TAKIMLAR Seiniz LG STATST PUAN DURUMU FKSTR TAKIMLAR 24.09.2023 15:00 FC Nacka IliriaMjlby AI FF 2. Lig, Sodra Svealand 22. Hafta FC Nacka Iliria ile Mjlby AI FF 2023 2. Lig, Sodra Svealand 22. hafta manda kar karya geliyor. tarafndan ynetilen FC Nacka IliriaMjlby AI FF ma, Saltsjbadens IPnde oynanyor. FC Nacka IliriaMjlby AI FF canl takibini yapabilirsiniz. Takmlar: FC Nacka IliriaMjlby AI FF Man Tarihi Saati: 24.09.2023 15:00 Man Hakemi: Ma Bilgileri Ykleniyor
| 2,023 |
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https://www.atlanticcouncil.org/in-depth-research-reports/report/specifying-normative-content/
| 2021-08-06T00:00:00 |
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Getting from commitment to content in AI and data ethics: Justice and explainability - Atlantic Council
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Getting from commitment to content in AI and data ethics: Justice and explainability - Atlantic Council
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Thu, Aug 5, 2021
Getting from commitment to content in AI and data ethics: Justice and explainability
Report
by
John Basl, Ronald Sandler, and Steven Tiell
Related Experts:
Steven Tiell,
Digital Policy
Future of Work
Inclusive Growth
Technology & Innovation
Table of contents
Executive SummaryI. Introduction
II. Example: Informed consent in bioethics
III. What is justice in artificial intelligence and machine learning? III.1 The values and forms of justice III.2 Justice in artificial intelligence and data systemsIV. What is transparency in artificial intelligence and machine learning? IV.1 The values and concepts underlying transparency IV.2 Specifying transparency commitmentsV. Conclusion: From normative content to specific commitmentsVI. Contributors
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Executive summary
There is widespread awareness among researchers, companies, policy makers, and the public that the use of artificial intelligence (AI) and big data raises challenges involving justice, privacy, autonomy, transparency, and accountability. Organizations are increasingly expected to address these and other ethical issues. In response, many companies, nongovernmental organizations, and governmental entities have adopted AI or data ethics frameworks and principles meant to demonstrate a commitment to addressing the challenges posed by AI and, crucially, guide organizational efforts to develop and implement AI in socially and ethically responsible ways.
However, articulating values, ethical concepts, and general principles is only the first step—and in many ways the easiest one—in addressing AI and data ethics challenges. The harder work is moving from values, concepts, and principles to substantive, practical commitments that are action-guiding and measurable. Without this, adoption of broad commitments and principles amounts to little more than platitudes and “ethics washing.” The ethically problematic development and use of AI and big data will continue, and industry will be seen by policy makers, employees, consumers, clients, and the public as failing to make good on its own stated commitments.
The next step in moving from general principles to impacts is to clearly and concretely articulate what justice, privacy, autonomy, transparency, and explainability actually involve and require in particular contexts. The primary objectives of this report are to:
demonstrate the importance and complexity of moving from general ethical concepts and principles to action-guiding substantive content;provide detailed discussion of two centrally important and interconnected ethical concepts, justice and transparency; andindicate strategies for moving from general ethical concepts and principles to more specific substantive content and ultimately to operationalizing those concepts.
I. Introduction
There is widespread awareness among researchers, companies, policy makers, and the public that the use of artificial intelligence (AI) and big data analytics often raises ethical challenges involving such things as justice, fairness, privacy, autonomy, transparency, and accountability. Organizations are increasingly expected to address these issues. However, they are asked to do so in the absence of robust regulatory guidance. Furthermore, social and ethical expectations exceed legal standards, and they will continue to do so because the rate of technological innovation and adoption outpaces that of regulatory and policy processes.
In response, many organizations—private companies, nongovernmental organizations, and governmental entities—have adopted AI or data ethics frameworks and principles. They are meant to demonstrate a commitment to addressing the ethical challenges posed by AI and, crucially, guide organizational efforts to develop and implement AI in socially and ethically responsible ways.
Table 1. Organizations and their principlesAs the ethical issues associated with AI and big data have become manifest, organizations have developed principles, codes, and value statements that (1) signal their commitment to socially responsible AI; (2) reflect their understanding of the ethical challenges posed by AI; (3) articulate their understanding of what socially responsible AI involves; and (4) provide guidance for organizational efforts to accomplish that vision.
Identifying a set of ethical concepts, and formulating general principles using those concepts, is a crucial component of articulating AI and data ethics. Moreover, there is considerable convergence among the many frameworks that have been developed. They coalesce around core concepts, some of which are individual oriented, some of which are society oriented, and some of which are system oriented (see Table 2). That there is a general overlapping consensus on the primary ethical concepts indicates that progress has been made in understanding what responsible development and use of AI and big data involves.
Table 2. Normative conceptsAI and data ethics statements and codes have coalesced around several ethical concepts. Some of these concepts are focused on the interests and rights of impacted individuals, e.g., protecting privacy, promoting autonomy, and ensuring accessibility. Others are focused on societal-level considerations, e.g., promoting justice, maintaining democratic institutions, and fostering the social good. Still others are focused on features of the technical systems, e.g., that how they work is sufficiently transparent or interpretable so that decisions can be explained and there is accountability for them.
However, articulating values, ethical concepts, and general principles is only the first step in addressing AI and data ethics challenges—and it is in many ways the easiest. It is relatively low cost and low commitment to develop and adopt these statements as aspirational documents.
The much harder work is the following: (1) substantively specifying the content of the concepts, principles, and commitments—that is, clarifying what justice, privacy, autonomy, transparency, and explainability actually involve and require in particular contexts;1Kate Crawford et al., AI Now 2019 Report, AI Now Institute, December 2019, https://ainowinstitute.org/AI_Now_2019_Report.html, 20. and (2) building professional, social, and organizational capacity to operationalize and realize these in practice 2 Ronald Sandler and John Basl, Building Data and AI Ethics Committees, Accenture, August 20, 2019, https://www.accenture.com/_acnmedia/PDF-107/Accenture-AI-And-Data-Ethics-Committee-Report-11.pdf. (see Figure 1 for what these tasks encompass and how they are interconnected). Accomplishing these involves longitudinal effort and resources, as well as collaborative multidisciplinary expertise. New priorities and initiatives might be required, and existing organizational processes and structures might need to be revised. But these are the crucial steps in realizing the espoused values and commitments. Without them, any commitments or principles become mere “ethics washing.” Ethically problematic development and use of AI and big data will continue and industry will be seen by policy makers, employees, consumers, and the public as failing to make good on its own stated commitments.
Figure 1. Operationalizing: Moving from values to actionable commitments and standards of evaluation
The objectives of this report are to:
demonstrate the importance and complexity of moving from general ethical concepts and principles to action-guiding substantive content, hereafter called normative content;provide detailed analysis of two widely discussed and interconnected ethical concepts, justice and transparency; andindicate strategies for moving from general ethical concepts and principles to more specific normative content and ultimately to operationalizing that content.
Defining “normative content”
There are two uses of the term “norms.” One is descriptive, for which “norms” describe what is ordinary or typical to do. The other is ethical, for which “norms” prescribe what ought or should be done. Often, what ought or should be done (prescriptive) is different from what is currently being done (descriptive). The call for ethics for, and responsible development and use more generally of, AI and big data is a call for guidance on how it ought to be done because current practices are problematic in many respects. For example, justice-oriented considerations ought to be incorporated in ways that avoid perpetuating discriminatory practices and unjustified inequalities.
Therefore, as the term is used here, normative content refers to guidance on what “ought” or “should” be done. It is about developing well-justified standards, principles, and practices for what individuals, groups, and organizations should do, rather than merely describing what they currently do.
Normative content (in the ethical, prescriptive sense) is ultimately grounded on values, both social and organizational. This report is about the process of translating those general values into concrete and actionable guidance and commitments. This process is complex because specific principles and commitments need to be context sensitive, and because different values can sometimes come into tension with each other.
II. Example: Informed consent in bioethics3This section is adapted from Ronald Sandler and John Basl, Building Data and AI Ethics Committees, Accenture, August 2019, https://www.accenture.com/_acnmedia/PDF-107/Accenture-AI-And-Data-Ethics-Committee-Report-11.pdf, 13.
To illustrate the challenge of moving from a general ethical concept to action-guiding normative content it is helpful to reflect on an established case, such as informed consent in bioethics. Informed consent is widely recognized as a crucial component to ethical clinical practice and research in medicine. But where does the principle come from? What, exactly, does it mean? And what does accomplishing it involve?
Informed consent is taken to be a requirement of ethical practice in medicine and human subjects research because it protects individual autonomy.4National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research, The Belmont Report: Ethical Principles and Guidelines for the Protection of Human Subjects of Research, April 18, 1979, https://www.hhs.gov/ohrp/sites/default/files/the-belmont-report-508c_FINAL.pdf. Respecting people’s autonomy means not manipulating them, deceiving them, or being overly paternalistic toward them. People have rights over themselves, and this includes choosing whether to participate in a research trial or undergo medical treatment. A requirement of informed consent is the dominant way of operationalizing respect for autonomy.
But what is required to satisfy the norm of informed consent in practice? When informed consent is explicated, it is taken to have three main conditions: disclosure, comprehension, and voluntariness. The disclosure condition is that patients, research subjects, or their proxies are provided clear, accurate, and relevant information about the situation and the decision they are being asked to make. The comprehension condition is that the information is presented to them in a way or form that they can understand. The voluntariness condition is that they make the decision without undue influence or coercion.
But these three conditions must themselves be operationalized, which is the work of institutional review boards, hospital ethics committees, professional organizations, and bioethicists. They develop best practices, standards, and procedures for meeting the informed consent conditions—e.g., what information needs to be provided to potential research subjects, what level of understanding constitutes comprehension for patients, and how physicians can provide professional opinions without undue influence on decisions. Moreover, standards and best practices can and must be contextually sensitive. They cannot be the same in emergency medicine as they are in clinical practice, for example. It has been decades since the principle of informed consent was adopted in medicine and research, yet it remains under continuous refinement in response to new issues, concerns, and contexts to ensure that it protects individual autonomy.
So while informed consent is meant to protect the value of autonomy and express respect for persons, a general commitment to the principle of informed consent is just the beginning. The principle must be explicated and operationalized before it is meaningful and useful in practice. The same is true for principles of AI and data ethics.5Sandler et al, Building Data and AI Ethics Committees.
Figure 2. Example: Respect for persons in medical research (via IRB)In clinical medicine and medical research, a foundational value is respect for the people involved—the patients and research subjects. But to know what that value requires in practice it must be clarified and operationalized. In medicine, respect for persons is understood in terms of autonomy of choice, which requires informed consent on the part of the patient or subject. Bioethicists, clinicians, and researchers have operationalized autonomous informed consent in terms of certain choice conditions: disclosure, comprehension, and voluntariness. These are then realized through a host of specific practices, such as disclosing information in a patient’s primary language, maintaining context of consent for research subjects, and not obscuring information about risks. Thus, respect for persons is realized in medical contexts when these conditions are met through the specified practices for the context. It is therefore crucial to the ethics of medicine and medical research that these be implemented in practice in context-specific ways.
The case of informed consent in bioethics has several lessons for understanding the challenge of moving from general ethical concepts to practical guidance in AI and data ethics:
To get from a general ethical concept (e.g., justice, explanation, privacy) to practical guidance, it is first necessary to specify the normative content (i.e., specify the general principle and provide context-specific operationalization of it).Specifying the normative content often involves clarifying the foundational values it is meant to protect or promote.What a general principle requires in practice can differ significantly by context.It will often take collaborative expertise—technical, ethical, and context specific—to operationalize a general ethical concept or principle.Because novel, unexpected, contextual, and confounding considerations often arise, there need to be ongoing efforts, supported by organizational structures and practices, to monitor, assess, and improve operationalization of the principles and implementation in practice. It is not possible to operationalize them once and then move on.
Figure 3. The process of specifying normative contentAI and data ethics encompass the following: clarifying foundational values and core ethical concepts, specifying normative content (general principles and context-specific operationalization of them), and implementation in practice.
In what follows, we focus on the complexities involved in moving from core concepts and principles to operationalization—the normative content—for two prominently discussed and interconnected AI and data ethics concepts: justice and transparency.
III. What Is justice in artificial intelligence and machine learning?
There is consensus that justice is a crucial ethical consideration in AI and data ethics.6Cyrus Rafar, “Bias in AI: A Problem Recognized but Still Unresolved,” TechCrunch, July 25, 2019, https://techcrunch.com/2019/07/25/bias-in-ai-a-problem-recognized-but-still-unresolved/.,7 Reuben Binns et al., “‘It’s Reducing a Human Being to a Percentage’: Perceptions of Justice in Algorithmic Decisions,” in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI ’18, Association for Computing Machinery, 2018, https://doi.org/10.1145/3173574.3173951, 1–14. Machine learning (ML), data analytics, and AI more generally should, at a minimum, not exacerbate existing injustices or introduce new ones. Moreover, there is potential for AI/ML to reduce injustice by uncovering and correcting for (typically unintended) biases and unfairness in current decision-making systems.
Problems of fairness and justice in AI and data ethics
Fairness and justice are widely recognized as key components of AI and data ethics. One reason for this is that there already have been many high-profile cases where machine learning and automated decision systems have led to biased, discriminatory, or otherwise problematically unequal results. Here are just a few examples:
AI recruiting and job advertising systems have been found to replicate existing racial and gender biases and stereotypes in the workforce1Miranda Bogen, “All the Ways Hiring Algorithms Can Introduce Bias,” Harvard Business Review, May 6, 2019, “https://hbr.org/2019/05/all-the-ways-hiring-algorithms-can-introduce-bias”>https://hbr.org/2019/05/all-the-ways-hiring-algorithms-can-introduce-bias.
AI systems used to assign risk scores in medical contexts assigned lower risk scores to African-American patients as compared to white patients, resulting in their receiving less care or less urgent care2Ziad Obermeyer et al., “Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations,” Science 366, no. 6464 (October 25, 2019): 447–53, https://doi.org/10.1126/science.aax2342.
Facial recognition systems have been found to be racially biased3Sophie Bushwick, “How NIST Tested Facial Recognition Algorithms for Racial Bias,” Scientific American, December 27, 2019, https://www.scientificamerican.com/article/how-nist-tested-facial-recognition-algorithms-for-racial-bias/.
AI systems used in social service eligibility determinations are making it more difficult for people to access benefits for which they are qualified4Ed Pilkington, “Digital Dystopia: How Algorithms Punish the Poor,” The Guardian, October 14, 2019, http://www.theguardian.com/technology/2019/oct/14/automating-poverty-algorithms-punish-poor.
Hate speech detection systems have been found to wrongly classify speech patterns associated with African-Americans as hate speech5Charlotte Jee, “Google’s Algorithm for Detecting Hate Speech Is Racially Biased,” MIT Technology Review, August 13, 2019, https://www.technologyreview.com/2019/08/13/133757/googles-algorithm-for-detecting-hate-speech-looks-racially-biased/.
A recidivism prediction system used in parole and bail setting overpredicted recidivism by African-Americans and underpredicted recidivism by whites6Julia Angwin Mattu, Jeff Larson, and Surya Lauren Kirchner, “Machine Bias,” ProPublica, May 23, 2016, https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing?token=f3FajB9MLCTEMdgLRTeO6gSsoYw-yhCA.
AI advertising systems have been found to racially differentiate with apartment listings7Louise Matsakis, “Facebook’s Ad System Might Be Hard-Coded for Discrimination,” Wired, April 6, 2019, https://www.wired.com/story/facebooks-ad-system-discrimination/.
However, the concept of “justice” is complex, and can refer to different things in different contexts. To determine what justice in AI and data use requires in a particular context—for example, in deciding on loan applications, social service access, or healthcare prioritization—it is necessary to clarify the normative content and underlying values. Only then is it possible to specify what is required in specific cases, and in turn how (or to what extent) justice can be operationalized in technical and techno-social systems.
The meanings of “fairness” and “justice”
“Fairness” and “justice” are often used interchangeably in the discourse around AI and data ethics, and that is how they are used here. The reason for this is to encompass the full range of considerations that fall under them (as indicated below). However, the terms also sometimes have more specific meanings. For example, among computer scientists who work on these issues, “fairness” is often used to refer to certain forms of parity among groups. So, for example, an algorithmic system would be “fair” if it had the same level of accuracy or false positive rates across protected groups; a common question raised is which, if any, of those forms of parity is the appropriate operationalization of fairness for that context (since it is often impossible to realize multiple forms of parity together). In institutional contexts, “fairness” is often used to refer to treatment in a particular context, whereas “justice” refers to the institutional features that structure the context—a process (e.g., lending or criminal justice) can be unfair because the system is unjust (e.g., organized in a way that advantages some groups and disadvantages others).
III.1 The values and forms of justice
The foundational value that underlies justice is the equal worth and political standing of people. The domain of justice concerns how to organize social, political, economic, and other systems and structures in accordance with these values. A law, institution, process, or algorithm is unjust when it fails to embody these values. So, the most general principle of justice is that all people should be equally respected and valued in social, economic, and political systems and processes.
However, there are many ways these core values and this very general principle of justice intersect with social structures and systems. As a result, there is a diverse set of more specific justice-oriented principles, examples of which are given in Table 3.
Table 3. Justice-oriented principles
Each of these principles concerns social, political, or economic systems and structures. Some of the principles address the processes by which systems work (procedural justice). Others address the outcomes of the system (distributive justice). Still others address how people are represented within systems (recognition justice). There are many ways for things to be unjust, and many ways to promote justice.
Each of these justice-oriented principles is important in specific situations. Equality of opportunity is often crucial in discussions about K-12 education. Equality of participation is important in political contexts. Prioritizing the worst off is important in some social services contexts. Just deserts is important in innovation contexts. And so on. The question to ask about these various justice-oriented principles when thinking about AI or big data is not which of them is the correct or most important aspect of justice. The questions are the following: Which principles are appropriate in which contexts or situations? And what do they call for or require in those contexts or situations?
III.2 Justice in artificial intelligence and data systems
What is an organization committing to when it commits to justice in AI and data practices? Context is critically important in determining which justice-oriented principles are operative or take precedence. Therefore, the first step in specifying the meaning of a commitment—i.e., specifying the normative content—is to identify the justice-oriented principles that are crucial to the work that the AI or data system does or the contexts in which they operate. Only then can a commitment to justice be effectively operationalized and put into practice.
Legal compliance will of course be relevant to identifying salient justice-oriented considerations—for example, statutes on nondiscrimination. But, as discussed above, legal compliance alone is insufficient.8Solon Barocas and Andrew D. Selbst, “Big Data’s Disparate Impact,” California Law Review 104 (2016): 671, https://heinonline.org/HOL/LandingPage?handle=hein.journals/calr104&div=25&id=&page=. Articulating the relevant justice-oriented principles will also require considering organizational missions, the types of products and services involved, how those products and services could impact communities and individuals, and organizational understanding of the causes of injustice within the space in which they operate. In identifying these, it will often be helpful to reflect on similar cases and carefully consider the sorts of concerns that people have raised about AI, big data, and automated decision-making. Consider again some of the problem cases discussed earlier (see Problems of fairness and justice in AI and data ethics). Several of them, such as the sentencing and employment cases, raise issues related to equality of opportunity and equal treatment. Others, such as those concerning facial and speech recognition, involve representation and access. Still others, such as the healthcare cases, involve access and treatment as well as prioritization, restitutive, and benefit considerations. Here are two hypothetical and simplified cases—a private financial services company and a public social service organization—to illustrate this. They share the same foundational values (equal worth and political standing of people) and core ethical concepts (fairness and justice). However, they diverge in how these are specified, operationalized, and implemented due to what the algorithmic system does, its institutional context, and relevant social factors (see Figure 4 and Figure 5).
Figure 4. Example: Private financial services companyFinancial services firms trying to achieve justice and fairness must, at a minimum, be committed to nondiscrimination, equal treatment, and equal access. These cannot be accomplished if there is differential consideration, treatment, or access based on characteristics irrelevant to an individual’s suitability for the service. To prevent this, a financial services firm might encourage applications from diverse communities, require explanations to applicants who are denied services, and participate in regular auditing and reporting processes, for example. Implementing these and other measures would promote justice and fairness in practice. To be clear, these may not be exhaustive of what justice requires for financial services firms. For instance, if there has been a prior history of unfair or discriminatory practices toward particular groups, then reparative justice might be a relevant justice-oriented principle as well. Or if a firm has a social mission to promote equality or social mobility, then benefiting the worst off might also be a relevant justice-oriented principle.
Figure 5. Example: Public social service organizationSocial service organizations are publicly accountable and typically have well-defined social missions and responsibilities. These are relevant to determining which principles of justice are most salient for their work. It is often part of their mission that they provide benefits to certain groups. Because of this, justice and fairness for a social service organization may require not only nondiscrimination, but also ensuring access and benefitting the worst off. This is embodied in principles such as no differential consideration or treatment based on irrelevant characteristics, presumption of eligibility (i.e., access is a right rather than a privilege), and maximizing accessibility of services. Operationalizing these could involve requiring explanations for service denial decisions and having an available appeals/recourse process, creating provisions for routine auditing, providing assistance to help potential clients access benefits, conducting outreach to those who may be eligible for services, and integrating with other services that might benefit clients.
When there are multiple justice-oriented considerations that are relevant, it can frequently be necessary to balance them. For example, prioritizing the worst off or those who have been historically disadvantaged can sometimes involve moving away from same treatment. Or accomplishing equal opportunity and access can sometimes require compromises on just deserts. What is crucial is that all the relevant justice-oriented principles for the situation are identified; that the process of identification is inclusive of the communities most impacted; that all operative principles are considered as far as possible; and that any compromises are justified by the contextual importance of other justice-oriented considerations.
Recidivism Prediction and the importance of clarifying the appropriate conception of justice
In the much-discussed case of the COMPAS recidivism prediction algorithm, there was a tradeoff between equal accuracy among groups on the one hand and equal false positive and negative rates among groups on the other hand. The prediction system was roughly equally accurate with respect to recidivism predictions for whites and Blacks. However, it differed with respect to the kinds of mistakes that it made, when it made mistakes. It overpredicted recidivism by Blacks and underpredicted it by whites. Moreover, a plausible explanation for these differences across groups is the use of training data that embodies a history of overpolicing minority communities. So while there is a sense in which the algorithm accomplishes equal treatment on one parameter (i.e., equal accuracy in prediction), it fails to address the more justice-relevant treatment consideration in this context (i.e., overprediction of recidivism) and it does not take into account other relevant justice-oriented considerations, such as restitutive and representational considerations.8 Julia Angwin Mattu, Jeff Larson, and Surya Lauren Kirchner, “Machine Bias,” ProPublica, May 23, 2016, https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing?token=f3FajB9MLCTEMdgLRTeO6gSsoYw-yhCA.
The diversity of justice-relevant principles and the need to make context-specific determinations about which are relevant and which to prioritize reveal the limits of a strictly algorithmic approach to incorporating justice into ML, data analytics, and autonomous decision-making systems.
First, there is no singular, general justice-oriented constraint, optimization, or utility function; nor is there a set of hierarchically ordered ones. Instead, context-specific expertise and ethical sensitivity are crucial to determining what justice requires.9Jon Kleinberg, “Inherent Trade-Offs in Algorithmic Fairness,” In Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS ’18, Association for Computing Machinery, June 2018, https://doi.org/10.1145/3219617.3219634. A system that is designed and implemented in a justice-sensitive way for one context may not be fully justice sensitive in another context, since the aspects of justice that are most salient can be different.
Second, there will often not be a strictly algorithmic way to fully incorporate justice into decision-making, even once the relevant justice considerations have been identified.10Reuben Binns, “Fairness in Machine Learning: Lessons from Political Philosophy,” in Conference on Fairness, Accountability, and Transparency, PMLR, 2018, http://proceedings.mlr.press/v81/binns18a.html, 149–59. For example, there can be data constraints, such as the necessary data might not be available (and it might not be the sort of data that could be feasibly or ethically collected). There can be technical constraints, such as the relevant types of justice considerations not being mathematically (or statistically) representable. There can be procedural constraints, such as justice-oriented considerations that require people to be responsible for decisions.
Therefore, it is crucial to ask the following question: How and to what extent can the salient aspects of justice be achieved algorithmically? In many cases, accomplishing justice in AI will require developing justice-informed techno-social (or human-algorithm) systems. AI systems can support social workers in service determinations, admissions officers in college admissions determinations, or healthcare professionals in diagnostic determinations—the systems might even be able to help reduce biases in those processes—while not being able to replicate or replace them. Moreover, it might require not using an AI or big data approach at all, even if it is more accurate or efficient. This could be for procedural, recognition, or relational justice reasons, or because it would be problematic to try to use or collect the necessary data. For example, justice might require a jury-by-peer criminal justice system even if it were possible to build a more accurate (in terms of guilt/innocent determinations) algorithmic system. A commitment to justice in AI involves remaining open to the possibility that sometimes an AI-oriented approach might not be a just one.
For these reasons, organizations that are committed to justice in AI and data analytics will require significant organizational capacity and processes to operationalize and implement the commitment, in addition to technical capacity and expertise. Organizations cannot rely strictly on technical solutions or on standards developed in other contexts.
Justice in AI and big data: Key takeaways
Justice is grounded in the foundational value of equal worth and political standing of all people.
AI and data analytics should not create or perpetuate injustice, and they should make every effort to promote justice.
Specifying the normative content of justice in AI—i.e., what that commitment means—involves clearly articulating the justice-oriented considerations or principles that must inform automated decision systems.
What justice requires is multifaceted and context specific.
Which justice-oriented principles and considerations are most salient often depends upon an organization’s mission, products/services, and the contexts in which it operates.
Determining which justice-oriented principles and considerations are most salient therefore involves context-specific expertise—and crucially the perspectives of those who experience the injustice—AI/data ethics expertise, organizational governance, and technical and techno-social system expertise.
There is usually not a strictly technical or algorithmic way to accomplish justice in AI and data analytics. It requires value sensitive design, monitoring, and auditing of both technical and techno-social (or human-machine) systems.
Accomplishing justice in AI and data analytics is a substantial, collaborative, and ongoing process that requires developing organizational capacity.
IV. What is transparency in artificial intelligence and machine learning?
Assessing whether a decision-making system is just or fair and holding decision-makers accountable often requires being able to understand what the system is doing and how it is doing it. So, from the concepts of justice and accountability follow principles requiring transparency, for example, ensuring that algorithmic systems can be sufficiently understood by decision-subjects.
One feature of algorithmic decision-making that has been met with concern is that many of these systems are “black boxes”—how they make decisions is sometimes entirely opaque, even to those who build them. If an algorithmic decision-making system is a black box, then parties subject to its decisions will be in a poor position to assess whether they have been treated fairly and users of the system will be in a poor position to know whether it satisfies their commitment to justice. Parties to hiring and firing decisions and parole decisions and those that use products, such as pharmaceuticals, that are discovered or designed using algorithms often have a significant interest in understanding how decisions are made or about how the products they use are designed.
Since black box algorithms can serve as an obstacle to realizing justice and other important values, concerns about opacity in algorithmic decision-making have been met with calls for transparency in algorithmic decision-making.11Cynthia Rudin, “Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead,” Nature Machine Intelligence 1, no. 5 (May 2019): 206–15, https://doi.org/10.1038/s42256-019-0048-x., 12Jonathan Zittrain, “The Hidden Costs of Automated Thinking,” The New Yorker, July 23, 2019, https://www.newyorker.com/tech/annals-of-technology/the-hidden-costs-of-automated-thinking. However, like justice, transparency has many meanings, and translating calls for transparency into guidance for the design and use of algorithmic decision-making systems requires clarifying why transparency is important in that context, to whom there is an obligation to be transparent, and what forms transparency might take to meet those obligations.13Kathleen A. Creel, “Transparency in Complex Computational Systems,” Philosophy of Science 87, no. 4 (April 30, 2020): 568–89, https://doi.org/10.1086/709729.
IV.1 The values and concepts underlying transparency
Transparent decision-making is important for and sometimes essential to realizing a variety of values and concepts. One such example, already mentioned, is justice. Opacity can sometimes prevent decision-subjects—e.g., the person who is seeking a loan, who is up for parole, who is applying for social services, or whose social media content has been removed—from determining whether they have in fact been treated respectfully and fairly. In many contexts, decision-makers owe decision-subjects due consideration. It is often important to hear others out, try to understand their perspective, and take that perspective seriously when making decisions. It is often disrespectful or shows lack of due consideration to make unilateral decisions that have significant impacts on others without taking the specific details of their circumstances into account. When a parole board decides whether to grant parole, for example, decision-subjects have a right to know that decision-makers have made a good faith effort to understand relevant details about their lives and take those details into account—i.e., that they have treated them as an individual.
In addition to the role that transparency plays in helping to achieve justice, it can also play an important role in realizing other concepts and values.
Compliance
Compliance is a normative concept associated with the value of respecting the law. Opaque decision-making systems can make it difficult to determine whether a system or a model is compliant with applicable laws, regulations, codes of conduct, or other ethical norms. If a recidivism prediction system, targeted advertising system, or ranking system for dating apps were completely opaque and there was no way to tell whether it was using, for example, race or ethnicity (or proxies thereof) in its decision-making, it would be impossible to tell whether the system was in compliance with anti-discrimination law or requirements of justice. Thus, transparency is often justified or important because it makes it possible to determine whether it satisfies legal and ethical obligations.
Autonomy
Autonomy is a normative concept associated with the value of respecting persons. Enabling autonomy involves allowing people to make informed decisions, especially when those decisions make significant impacts on their life prospects. Opaque decision-making systems can make it difficult for decision-subjects to use decisions to guide future behavior or choices. If a decision-subject is rejected for a loan, job, school admission, or social service but has no access to how or why the decision was made, or what they can do to achieve a more satisfactory outcome, they will have a difficult time determining what they can do to achieve a favorable outcome in the future should they reapply. Thus, transparency is often valuable because it informs and empowers decision-making subjects to change behaviors in ways that impact future decisions about the trajectory of their lives.
Knowledge
Knowledge is a normative concept grounded in the value of understanding. Knowledge enables us to better understand the world and our place in it. In some instances, algorithmic systems are used to uncover hidden patterns in large data sets. These patterns can help develop diagnostics or treatments even while knowledge of the patterns and/or of the underlying mechanisms that cause or explain those patterns remains opaque. 14Zittrain, “The Hidden Costs of Automated Thinking.” Knowledge in these areas could help practitioners not only intervene to realize better outcomes but generate new understanding, cures, and insights about a domain. 15Rich Caruana et al., “Intelligible Models for Healthcare: Predicting Pneumonia Risk and Hospital 30-Day Readmission,” in Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’15: ACM, 2015, https://doi.org/10.1145/2783258.2788613, 1721–30. Thus, transparency is often valuable because it enables future discoveries.
Trust
Trust is a normative concept related to a variety of foundational values, including developing good relationships, and trust grounds principles of transparency because transparency can build trust. To fully realize the benefits of algorithmic tools, from medicine to route mapping, stakeholders must trust these systems and the ways they exercise power over their lives. Stakeholders that do not understand the how and why of such decisions are less likely to accept the use of such technologies and its decisions. Thus, transparency is often valuable because it can foster trust in decision-making systems.
IV.2 Specifying transparency commitments
Just as there are many concepts, including justice, that ground principles of transparency, there are many ways in which a decision-system could be made transparent, and so there are many forms that commitments to transparency might take, such as a commitment to interpretability of algorithmic decision-making systems, a commitment to the explainability of algorithmic decisions, or a commitment to accountability for such decisions. For example, a system can be transparent in the sense that individual decisions or behaviors of a system can be understood by technical experts or decision-subjects. For instance, a computer scientist might be able to explain how sensitive an algorithmic decision-making system used to set insurance rates is to factors such as age or driving experience. A broader form of transparency involves being transparent about why certain decision-making systems are in use, even if those decision-making systems are opaque. For instance, a decision-maker might show decision-subjects that the use of a largely opaque recommendation engine results in vastly more accurate recommendations with very low risk.
Here are some ways of understanding some common commitments to transparency:
Interpetability
An often-discussed way to commit to transparency in algorithmic decision-making is to require these systems to be interpretable.16Rudin, “Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead.” Some algorithmic systems are so complex—for example, because they rely on models built on such large data sets or involve many layers—that data and computer scientists themselves cannot determine in any precise way how system inputs are transformed to outputs. The interpretability of a system is relevant to many of the values above. For example, an uninterpretable system is a serious obstacle to discovering underlying patterns of inference the system relies on and could make it impossible to ensure compliance with certain norms. However, not all AI and ML systems are uninterpretable, and computer and data scientists are working to develop tools to recover interpretability from black box systems.
Explainability
Another kind of commitment to transparency is to require that algorithmic decision-making systems be explainable.17Hani Hagras, “Toward Human-Understandable, Explainable AI,” Computer 51, no. 9 (September 2018): 28–36, https://doi.org/10.1109/MC.2018.3620965. A decision-making system is explainable when it is possible to offer stakeholders an explanation that can be understood as justifying a given decision, behavior, or outcome. An interpretable system does not necessarily generate outputs that are explainable in this sense; knowing the inferences that underwrite a systems’ decisions will not always serve to justify those decisions. Explainability is essential to realizing the values discussed above. Decision-subjects often need to know the reasons or considerations that led to the decisions about them to see if they have been treated with respect or for them to trust decision-makers. It is also often crucial for ensuring compliance with legal and ethical norms.
Justified opacity
Being transparent in the sense of ensuring interpretability or explainability can sometimes come at a cost to the accuracy of a system, i.e., there are sometimes trade-offs between accuracy on the one hand and interpretability or explainability on the other. In such cases, the trade-off might not be justified—i.e., in some contexts maximizing accuracy might be more important than ensuring that an algorithmic decision-making system is interpretable or explainable. Even so, there is a broader commitment to transparency that can still help realize core concepts such as trust. For example, patients might be willing to accept an uninterpretable diagnostic tool if that tool is significantly more accurate than alternatives. Transparency about the reasons for adopting opaque systems can serve to justify other forms of opacity.
Auditability
A final kind of commitment to transparency is auditability.18Bruno Lepri et al., “Fair, Transparent, and Accountable Algorithmic Decision-Making Processes,” Philosophy & Technology 31, no. 4 (December 1, 2018): 611–27, https://doi.org/10.1007/s13347-017-0279-x. It is not always feasible to provide transparency about all the individual decisions made by a system. Still, it is possible to evaluate the system by auditing some set of decisions periodically or based on certain observed patterns in decision-making to determine whether core values are realized. For example, while it might be infeasible to provide an explanation for every decision made by an autonomous vehicle system, it might be important for increasing trust that audits can reveal explanations for particular decisions. One virtue of auditing procedures is that they provide transparency not solely about algorithmic decision-making but about the broader systems in which they are embedded. A carefully constructed audit can provide assurance that decision-making systems broadly are trustworthy, reliable, and compliant.
Moving from a principle of transparency to the appropriate commitment and ultimately to a measurable specification in a given context involves determining which core concepts we are trying to achieve in that decision-context with a principle of transparency and which specific commitments to transparency best instantiate that principle. Increasing system interpretability might help minimize safety concerns but does little to increase trust or provide evidence of respect, for example.
Figure 6. Example: Low-Risk Health Diagnostic ToolsA low-risk health diagnostic tool is an algorithm that reliably provides a diagnosis for some conditions in patients but where failed diagnosis comes at low cost. In this case, the principle of transparency stems from concepts of health, reliability, and safety, which are grounded in the values of well-being and good relationships. Because transparency here is grounded in these core concepts, the transparency that is appropriate is a commitment to justifying the use of an opaque system in terms of its accuracy and a commitment to auditing the results to ensure that it remains accurate so as to demonstrate reliability and build trust.
Figure 7. Example: Drug-Discovery AlgorithmDrug discovery algorithms rely on the use of algorithmic tools to identify promising treatments for disease. In a case where the principle to be transparent is grounded in the core concept of knowledge, which stems from the value of understanding, the commitment that best embodies the principle might be interpretability since understanding the underlying structure by which decisions are made might yield knowledge.
Figure 8. Example: Algorithmic LendingIn the case of a lending application, a principle of transparency is grounded, at least partly, in concepts of justice, autonomy, and compliance. These are important concepts because they help realize values of recognizing the equal worth of persons, respect for persons, and acting according to legitimate laws. Given the way the principle of transparency, in this case, relates to the core concepts and foundational values, it grounds commitments to both interpretability and explainability in some form. Explainability helps decision-subjects see that decisions about them were justified and that they have been respected, for example. Interpretability can ensure that algorithmic decision-making is compliant with the law. And jointly, explainability and interpretability can help ensure that various requirements of justice have been met.
Transparency and explainability in AI and ML: Key takeaways
Opacity is an obstacle to achieving a variety of values and core ethical concepts, including justice.
Developing transparency standards that overcome these obstacles requires recognizing why transparency is valuable or important in a given context.
Developing transparency standards also requires identifying which commitments to transparency—interpretability, explainability, justified opacity, or auditability—are necessary and sufficient for realizing relevant values and concepts in a given context.
Satisfying transparency standards does not always require that everyone understands how every decision is made. In some contexts, such a high level of transparency is not needed and would compromise other important system values, such as efficiency and accuracy.
V. Conclusion: From normative content to specific commitments
General commitments to ethics in AI and big data use are now commonplace. A first step in realizing them is adopting principles, value statements, frameworks, and codes that broadly articulate what responsible development and use encompass. However, if these concepts and principles are to have an impact—if they are to be more than aspirations and platitudes—then organizations must move from loose talk of values and commitments to clarifying how normative concepts embody foundational values, what principles embody those concepts, what specific commitments to those principles are for a particular use case, and ultimately to some specification of how they will evaluate whether they have lived up to their commitments. It is common to hear organizations claim to favor justice and transparency. The hard work is clarifying what a commitment to them means and then realizing them in practice.
This report has emphasized the complexities associated with moving from general commitments to substantive specifications in AI and data ethics. Much of this complexity arises from three key factors:
Ethical concepts—such as justice and transparency—often have many senses and meanings.Which senses of ethical concepts are operative or appropriate is often contextual.Ethical concepts are multidimensional—e.g., in terms of what needs to be transparent, to whom, and in what form.
An implication of these factors is that specifying normative content in AI and data ethics is not itself a strictly technical problem. It often requires ethical expertise, knowledge of the relevant contextual (or domain-specific) factors, and expertise in human-machine interactions, in addition to knowledge of technical systems. Moreover, it is not possible to substantively specify a general standard of justice or transparency (or other ethical concept) that can then be applied in each instance of AI development and use.
A corollary to this is that for organizations to be successful in realizing their ethical commitments and accomplishing responsible AI, they must think broadly about how to build ethical capacity within and between their organizations. The field of AI and data ethics is still developing, but there already are initiatives at many organizations to do this, including the following:
Organizational structures and governance
Creating AI and data ethics committees that can help develop policies, consult on projects/products, and conduct reviewsEstablishing responsible innovation officer positions whose role includes translating ethical codes and principles into practiceDeveloping tools, organizational practices, and structures/processes that encourage employees to identify and raise potential ethical concerns
Broadening perspectives and collaborations
Meaningfully engaging with impacted communities to better understand ethical concerns and the ways in which AI and data systems perpetuate inequality, as well as identifying opportunities for promoting equality, empowerment, and the social goodHiring in-house ethics and social science experts and/or consulting with external experts
Training and education
Developing ethics trainings/curricula for employees, partners, and customers that raise awareness and understanding of the organization’s commitmentsCreating programs that encourage integrating ethics education into computer science, data science, and leadership programs
Integrating ethics in practice
Incorporating value-sensitive design early into product development—often via responsible innovation practices—by including members who represent legal, ethical, and social perspectives on research and project teamsConducting “ethics audits” on data and AI systems with both technical tools and case reviewsConducting privacy- and ethics-oriented risk and liability assessments that are considered in decision-making processesDeveloping ways to signal to users and customers that products and services meet robust ethical standardsEnsuring compliance of responsible innovation protocols and best practices throughout the organization
Building an AI and data ethics community
Developing industry and cross-industry collaborative groups and fora to share experiences, ideas, knowledge, and innovations related to accomplishing responsible AICreating teams within organizations and collaborations across organizations focused on promoting AI as a social good along well-defined specificationsSupporting foundational AI and data ethics research on problems/issues of organizational concern
This collection of interconnected strategies is being innovated across sectors—e.g., business, medicine, education, financial services, government, nonprofits—and across scales—e.g., start-ups to multinationals and local to federal. Collectively, they provide a rich set of possibilities for generating ethical capacity within organizations. They demonstrate that the challenge of translating general commitments to substantive action is fundamentally a techno-social one that requires multi-level system solutions incorporating diverse groups and expertise. They also show that translating general AI ethics principles into substantive operationalized efforts is not easily done. It involves significant ongoing commitment.
VI. Contributors
John Basl, PhDAssociate Professor of PhilosophyNortheastern University
Author
John Basl is an author of this report. He is an associate professor of philosophy in the Department of Philosophy & Religion at Northeastern University, a researcher at the Northeastern Ethics Institute, and a faculty associate of both the Edmond J. Safra Center for Ethics and the Berkman Klein Center for Internet and Society at Harvard University. He works primarily in moral philosophy, the ethics of AI, and the ethics of emerging technologies.
Ronald Sandler, PhDProfessor of Philosophy; Chair, Department of Philosophy and Religion; Director, Ethics InstituteNortheastern University
Author
Ronald Sandler is an author of this report. He is a professor of philosophy, Chair of the Department of Philosophy and Religion, and Director of the Ethics Institute at Northeastern University. He works in ethics of emerging technologies, environmental ethics, and moral philosophy. Sandler is author of Nanotechnology: The Social and Ethical Issues (Woodrow Wilson International Center for Scholars), Environmental Ethics: Theory in Practice (Oxford), Food Ethics: The Basics (Routledge), and Character and Environment (Columbia), as well as editor of Ethics and Emerging Technologies (Palgrave MacMillan), Environmental Justice and Environmentalism (MIT), and Environmental Virtue Ethics (Rowman and Littlefield).
Steven TiellNonresident Senior Fellow, GeoTech CenterAtlantic Council
Contributing Editor
Steven is a contributing editor to this report. He is a Nonresident Senior Fellow with the Atlantic Council’s GeoTech Center. He is an expert in data ethics and responsible innovation working at Accenture, where he helps clients to integrate responsible product development practices and executives to manage risks brought on by digital transformation and widespread use of artificial intelligence. He founded the Data Salon Series, now a program at the GeoTech Center, in 2018. Since embarking on Data Ethics research in 2013, Steven has contributed to and published more than a dozen papers and has worked with dozens of organizations in high-tech, media, telecom, financial services, public safety, public policy, government, and defense sectors. He often speaks on topics such as governance, trust, data ethics, surveillance, deepfakes, and industry trends.
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Getting from commitment to content in AI and data ethics: Justice and explainability
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Getting commitment content AI data ethics: Justice explainability Atlantic Council Issues Regions Insights impact People Programs Events Get involved Support Council About Council Media Careers Home Issues Regions Menu Issues Regions Insights impact People Programs Events Get involved Support Council About Council Media Careers Suggestions suggestion Total Results currentCount totalCount searchResult.post_type searchResult.date searchResult.author.name Load More Issues Region Focus Filter Results Hide Thu, Aug 5, 2021 Getting commitment content AI data ethics: Justice explainability Report John Basl, Ronald Sandler, Steven Tiell Related Experts: Steven Tiell, Digital Policy Future Work lusive Growth Technology Innovation Table contents Executive SummaryI. Introduction II. Example: Informed consent bioethics III. What justice artificial intelligence machine learning? III.1 The values forms justice III.2 Justice artificial intelligence data systemsIV. What transparency artificial intelligence machine learning? IV.1 The values concepts underlying transparency IV.2 Specifying transparency commitmentsV. Conclusion: From normative content specific commitmentsVI. Contributors Download PDF Executive summary There widespread awareness researchers, companies, policy makers, public use artificial intelligence AI big data raises challenges involving justice, privacy, autonomy, transparency, accountability. Organizations increasingly expected address ethical issues. In response, companies, nongovernmental organizations, governmental entities adopted AI data ethics frameworks principles meant demonstrate commitment addressing challenges posed AI and, crucially, guide organizational efforts develop implement AI socially ethically responsible ways. However, articulating values, ethical concepts, general principles stepand ways easiest onein addressing AI data ethics challenges. The harder work moving values, concepts, principles substantive, practical commitments actionguiding measurable. Without this, adoption broad commitments principles amounts little platitudes ethics washing. The ethically problematic development use AI big data continue, industry seen policy makers, employees, consumers, clients, public failing good stated commitments. The step moving general principles impacts clearly concretely articulate justice, privacy, autonomy, transparency, explainability actually involve require particular contexts. The primary objectives report to: demonstrate importance complexity moving general ethical concepts principles actionguiding substantive content;provide detailed discussion centrally important interconnected ethical concepts, justice transparency; andindicate strategies moving general ethical concepts principles specific substantive content ultimately operationalizing concepts. I. Introduction There widespread awareness researchers, companies, policy makers, public use artificial intelligence AI big data analytics raises ethical challenges involving things justice, fairness, privacy, autonomy, transparency, accountability. Organizations increasingly expected address issues. However, asked absence robust regulatory guidance. Furthermore, social ethical expectations exceed legal standards, continue rate technological innovation adoption outpaces regulatory policy processes. In response, organizationsprivate companies, nongovernmental organizations, governmental entitieshave adopted AI data ethics frameworks principles. They meant demonstrate commitment addressing ethical challenges posed AI and, crucially, guide organizational efforts develop implement AI socially ethically responsible ways. Table 1. Organizations principlesAs ethical issues associated AI big data manifest, organizations developed principles, codes, value statements 1 signal commitment socially responsible AI; 2 reflect understanding ethical challenges posed AI; 3 articulate understanding socially responsible AI involves; 4 provide guidance organizational efforts accomplish vision. Identifying set ethical concepts, formulating general principles concepts, crucial component articulating AI data ethics. Moreover, considerable convergence frameworks developed. They coalesce core concepts, individual oriented, society oriented, oriented Table 2. That general overlapping consensus primary ethical concepts indicates progress understanding responsible development use AI big data involves. Table 2. Normative conceptsAI data ethics statements codes coalesced ethical concepts. Some concepts focused interests rights impacted individuals, e.g., protecting privacy, promoting autonomy, ensuring accessibility. Others focused societallevel considerations, e.g., promoting justice, maintaining democratic institutions, fostering social good. Still focused features technical systems, e.g., work sufficiently transparent interpretable decisions explained accountability them. However, articulating values, ethical concepts, general principles step addressing AI data ethics challengesand ways easiest. It relatively low cost low commitment develop adopt statements aspirational documents. The harder work following: 1 substantively specifying content concepts, principles, commitmentsthat is, clarifying justice, privacy, autonomy, transparency, explainability actually involve require particular contexts;1Kate Crawford et al., AI Now 2019 Report, AI Now Institute, December 2019, 20. 2 building professional, social, organizational capacity operationalize realize practice 2 Ronald Sandler John Basl, Building Data AI Ethics Committees, Accenture, August 20, 2019, Figure 1 tasks encompass interconnected. Accomplishing involves longitudinal effort resources, collaborative multidisciplinary expertise. New priorities initiatives required, existing organizational processes structures need revised. But crucial steps realizing espoused values commitments. Without them, commitments principles mere ethics washing. Ethically problematic development use AI big data continue industry seen policy makers, employees, consumers, public failing good stated commitments. Figure 1. Operationalizing: Moving values actionable commitments standards evaluation The objectives report to: demonstrate importance complexity moving general ethical concepts principles actionguiding substantive content, called normative content;provide detailed analysis widely discussed interconnected ethical concepts, justice transparency; andindicate strategies moving general ethical concepts principles specific normative content ultimately operationalizing content. Defining normative content There uses term norms. One descriptive, norms ordinary typical do. The ethical, norms prescribe ought done. Often, ought prescriptive different currently descriptive. The ethics for, responsible development use generally of, AI big data guidance ought current practices problematic respects. For example, justiceoriented considerations ought incorporated ways avoid perpetuating discriminatory practices unjustified inequalities. Therefore, term here, normative content refers guidance ought done. It developing welljustified standards, principles, practices individuals, groups, organizations do, merely describing currently do. Normative content ethical, prescriptive sense ultimately grounded values, social organizational. This report process translating general values concrete actionable guidance commitments. This process complex specific principles commitments need context sensitive, different values come tension other. II. Example: Informed consent bioethics3This section adapted Ronald Sandler John Basl, Building Data AI Ethics Committees, Accenture, August 2019, 13. To illustrate challenge moving general ethical concept actionguiding normative content helpful reflect established case, informed consent bioethics. Informed consent widely recognized crucial component ethical clinical practice research medicine. But principle come from? What, exactly, mean? And accomplishing involve? Informed consent taken requirement ethical practice medicine human subjects research protects individual autonomy.4National Commission Protection Human Subjects Biomedical Behavioral Research, The Belmont Report: Ethical Principles Guidelines Protection Human Subjects Research, April 18, 1979, Respecting peoples autonomy means manipulating them, deceiving them, overly paternalistic them. People rights themselves, includes choosing participate research trial undergo medical treatment. A requirement informed consent dominant way operationalizing respect autonomy. But required satisfy norm informed consent practice? When informed consent explicated, taken main conditions: disclosure, comprehension, voluntariness. The disclosure condition patients, research subjects, proxies provided clear, accurate, relevant information situation decision asked make. The comprehension condition information presented way form understand. The voluntariness condition decision undue influence coercion. But conditions operationalized, work institutional review boards, hospital ethics committees, professional organizations, bioethicists. They develop best practices, standards, procedures meeting informed consent conditionse.g., information needs provided potential research subjects, level understanding constitutes comprehension patients, physicians provide professional opinions undue influence decisions. Moreover, standards best practices contextually sensitive. They emergency medicine clinical practice, example. It decades principle informed consent adopted medicine research, remains continuous refinement response new issues, concerns, contexts ensure protects individual autonomy. So informed consent meant protect value autonomy express respect persons, general commitment principle informed consent beginning. The principle explicated operationalized meaningful useful practice. The true principles AI data ethics.5Sandler et al, Building Data AI Ethics Committees. Figure 2. Example: Respect persons medical research IRBIn clinical medicine medical research, foundational value respect people involvedthe patients research subjects. But know value requires practice clarified operationalized. In medicine, respect persons understood terms autonomy choice, requires informed consent patient subject. Bioethicists, clinicians, researchers operationalized autonomous informed consent terms certain choice conditions: disclosure, comprehension, voluntariness. These realized host specific practices, disclosing information patients primary language, maintaining context consent research subjects, obscuring information risks. Thus, respect persons realized medical contexts conditions met specified practices context. It crucial ethics medicine medical research implemented practice contextspecific ways. The case informed consent bioethics lessons understanding challenge moving general ethical concepts practical guidance AI data ethics: To general ethical concept e.g., justice, explanation, privacy practical guidance, necessary specify normative content i.e., specify general principle provide contextspecific operationalization it.Specifying normative content involves clarifying foundational values meant protect promote.What general principle requires practice differ significantly context.It collaborative expertisetechnical, ethical, context specificto operationalize general ethical concept principle.Because novel, unexpected, contextual, confounding considerations arise, need ongoing efforts, supported organizational structures practices, monitor, assess, improve operationalization principles implementation practice. It possible operationalize on. Figure 3. The process specifying normative contentAI data ethics encompass following: clarifying foundational values core ethical concepts, specifying normative content general principles contextspecific operationalization them, implementation practice. In follows, focus complexities involved moving core concepts principles operationalizationthe normative contentfor prominently discussed interconnected AI data ethics concepts: justice transparency. III. What Is justice artificial intelligence machine learning? There consensus justice crucial ethical consideration AI data ethics.6Cyrus Rafar, Bias AI: A Problem Recognized Still Unresolved, TechCrunch, July 25, 2019, Reuben Binns et al., Its Reducing Human Being Percentage: Perceptions Justice Algorithmic Decisions, Proceedings 2018 CHI Conference Human Factors Computing Systems, CHI 18, Association Computing Machinery, 2018, 114. Machine learning ML, data analytics, AI generally should, minimum, exacerbate existing injustices introduce new ones. Moreover, potential AIML reduce injustice uncovering correcting typically unintended biases unfairness current decisionmaking systems. Problems fairness justice AI data ethics Fairness justice widely recognized key components AI data ethics. One reason highprofile cases machine learning automated decision systems led biased, discriminatory, problematically unequal results. Here examples: AI recruiting job advertising systems replicate existing racial gender biases stereotypes workforce1Miranda Bogen, All Ways Hiring Algorithms Can Introduce Bias, Harvard Business Review, May 6, 2019, AI systems assign risk scores medical contexts assigned lower risk scores AfricanAmerican patients compared white patients, resulting receiving care urgent care2Ziad Obermeyer et al., Dissecting Racial Bias Algorithm Used Manage Health Populations, Science 366, no. 6464 October 25, 2019: 44753, Facial recognition systems racially biased3Sophie Bushwick, How NIST Tested Facial Recognition Algorithms Racial Bias, Scientific American, December 27, 2019, AI systems social service eligibility determinations making difficult people access benefits qualified4Ed Pilkington, Digital Dystopia: How Algorithms Punish Poor, The Guardian, October 14, 2019, Hate speech detection systems wrongly classify speech patterns associated AfricanAmericans hate speech5Charlotte Jee, Googles Algorithm Detecting Hate Speech Is Racially Biased, MIT Technology Review, August 13, 2019, A recidivism prediction parole bail setting overpredicted recidivism AfricanAmericans underpredicted recidivism whites6Julia Angwin Mattu, Jeff Larson, Surya Lauren Kirchner, Machine Bias, ProPublica, May 23, 2016, AI advertising systems racially differentiate apartment listings7Louise Matsakis, Facebooks Ad System Might Be HardCoded Discrimination, Wired, April 6, 2019, However, concept justice complex, refer different things different contexts. To determine justice AI data use requires particular contextfor example, deciding loan applications, social service access, healthcare prioritizationit necessary clarify normative content underlying values. Only possible specify required specific cases, turn extent justice operationalized technical technosocial systems. The meanings fairness justice Fairness justice interchangeably discourse AI data ethics, here. The reason encompass range considerations fall indicated below. However, terms specific meanings. For example, scientists work issues, fairness refer certain forms parity groups. So, example, algorithmic fair level accuracy false positive rates protected groups; common question raised which, any, forms parity appropriate operationalization fairness context impossible realize multiple forms parity together. In institutional contexts, fairness refer treatment particular context, justice refers institutional features structure contexta process e.g., lending criminal justice unfair unjust e.g., organized way advantages groups disadvantages others. III.1 The values forms justice The foundational value underlies justice equal worth political standing people. The domain justice concerns organize social, political, economic, systems structures accordance values. A law, institution, process, algorithm unjust fails embody values. So, general principle justice people equally respected valued social, economic, political systems processes. However, ways core values general principle justice intersect social structures systems. As result, diverse set specific justiceoriented principles, examples given Table 3. Table 3. Justiceoriented principles Each principles concerns social, political, economic systems structures. Some principles address processes systems work procedural justice. Others address outcomes distributive justice. Still address people represented systems recognition justice. There ways things unjust, ways promote justice. Each justiceoriented principles important specific situations. Equality opportunity crucial discussions K12 education. Equality participation important political contexts. Prioritizing worst important social services contexts. Just deserts important innovation contexts. And on. The question ask justiceoriented principles thinking AI big data correct important aspect justice. The questions following: Which principles appropriate contexts situations? And require contexts situations? III.2 Justice artificial intelligence data systems What organization committing commits justice AI data practices? Context critically important determining justiceoriented principles operative precedence. Therefore, step specifying meaning commitmenti.e., specifying normative contentis identify justiceoriented principles crucial work AI data contexts operate. Only commitment justice effectively operationalized practice. Legal compliance course relevant identifying salient justiceoriented considerationsfor example, statutes nondiscrimination. But, discussed above, legal compliance insufficient.8Solon Barocas Andrew D. Selbst, Big Datas Disparate Impact, California Law Review 104 2016: 671, Articulating relevant justiceoriented principles require considering organizational missions, types products services involved, products services impact communities individuals, organizational understanding causes injustice space operate. In identifying these, helpful reflect similar cases carefully consider sorts concerns people raised AI, big data, automated decisionmaking. Consider problem cases discussed earlier Problems fairness justice AI data ethics. Several them, sentencing employment cases, raise issues related equality opportunity equal treatment. Others, concerning facial speech recognition, involve representation access. Still others, healthcare cases, involve access treatment prioritization, restitutive, benefit considerations. Here hypothetical simplified casesa private financial services company public social service organizationto illustrate this. They share foundational values equal worth political standing people core ethical concepts fairness justice. However, diverge specified, operationalized, implemented algorithmic does, institutional context, relevant social factors Figure 4 Figure 5. Figure 4. Example: Private financial services companyFinancial services firms trying achieve justice fairness must, minimum, committed nondiscrimination, equal treatment, equal access. These accomplished differential consideration, treatment, access based characteristics irrelevant individuals suitability service. To prevent this, financial services firm encourage applications diverse communities, require explanations applicants denied services, participate regular auditing reporting processes, example. Implementing measures promote justice fairness practice. To clear, exhaustive justice requires financial services firms. For instance, prior history unfair discriminatory practices particular groups, reparative justice relevant justiceoriented principle well. Or firm social mission promote equality social mobility, benefiting worst relevant justiceoriented principle. Figure 5. Example: Public social service organizationSocial service organizations publicly accountable typically welldefined social missions responsibilities. These relevant determining principles justice salient work. It mission provide benefits certain groups. Because this, justice fairness social service organization require nondiscrimination, ensuring access benefitting worst off. This embodied principles differential consideration treatment based irrelevant characteristics, presumption eligibility i.e., access right privilege, maximizing accessibility services. Operationalizing involve requiring explanations service denial decisions available appealsrecourse process, creating provisions routine auditing, providing assistance help potential clients access benefits, conducting outreach eligible services, integrating services benefit clients. When multiple justiceoriented considerations relevant, frequently necessary balance them. For example, prioritizing worst historically disadvantaged involve moving away treatment. Or accomplishing equal opportunity access require compromises deserts. What crucial relevant justiceoriented principles situation identified; process identification inclusive communities impacted; operative principles considered far possible; compromises justified contextual importance justiceoriented considerations. Recidivism Prediction importance clarifying appropriate conception justice In muchdiscussed case COMPAS recidivism prediction algorithm, tradeoff equal accuracy groups hand equal false positive negative rates groups hand. The prediction roughly equally accurate respect recidivism predictions whites Blacks. However, differed respect kinds mistakes made, mistakes. It overpredicted recidivism Blacks underpredicted whites. Moreover, plausible explanation differences groups use training data embodies history overpolicing minority communities. So sense algorithm accomplishes equal treatment parameter i.e., equal accuracy prediction, fails address justicerelevant treatment consideration context i.e., overprediction recidivism account relevant justiceoriented considerations, restitutive representational considerations.8 Julia Angwin Mattu, Jeff Larson, Surya Lauren Kirchner, Machine Bias, ProPublica, May 23, 2016, The diversity justicerelevant principles need contextspecific determinations relevant prioritize reveal limits strictly algorithmic approach incorporating justice ML, data analytics, autonomous decisionmaking systems. First, singular, general justiceoriented constraint, optimization, utility function; set hierarchically ordered ones. Instead, contextspecific expertise ethical sensitivity crucial determining justice requires.9Jon Kleinberg, Inherent TradeOffs Algorithmic Fairness, In Abstracts 2018 ACM International Conference Measurement Modeling Computer Systems, SIGMETRICS 18, Association Computing Machinery, June 2018, A designed implemented justicesensitive way context fully justice sensitive context, aspects justice salient different. Second, strictly algorithmic way fully incorporate justice decisionmaking, relevant justice considerations identified.10Reuben Binns, Fairness Machine Learning: Lessons Political Philosophy, Conference Fairness, Accountability, Transparency, PMLR, 2018, 14959. For example, data constraints, necessary data available sort data feasibly ethically collected. There technical constraints, relevant types justice considerations mathematically statistically representable. There procedural constraints, justiceoriented considerations require people responsible decisions. Therefore, crucial ask following question: How extent salient aspects justice achieved algorithmically? In cases, accomplishing justice AI require developing justiceinformed technosocial humanalgorithm systems. AI systems support social workers service determinations, admissions officers college admissions determinations, healthcare professionals diagnostic determinationsthe systems able help reduce biases processeswhile able replicate replace them. Moreover, require AI big data approach all, accurate efficient. This procedural, recognition, relational justice reasons, problematic try use collect necessary data. For example, justice require jurybypeer criminal justice possible build accurate terms guiltinnocent determinations algorithmic system. A commitment justice AI involves remaining open possibility AIoriented approach one. For reasons, organizations committed justice AI data analytics require significant organizational capacity processes operationalize implement commitment, addition technical capacity expertise. Organizations rely strictly technical solutions standards developed contexts. Justice AI big data: Key takeaways Justice grounded foundational value equal worth political standing people. AI data analytics create perpetuate injustice, effort promote justice. Specifying normative content justice AIi.e., commitment meansinvolves clearly articulating justiceoriented considerations principles inform automated decision systems. What justice requires multifaceted context specific. Which justiceoriented principles considerations salient depends organizations mission, productsservices, contexts operates. Determining justiceoriented principles considerations salient involves contextspecific expertiseand crucially perspectives experience injusticeAIdata ethics expertise, organizational governance, technical technosocial expertise. There usually strictly technical algorithmic way accomplish justice AI data analytics. It requires value sensitive design, monitoring, auditing technical technosocial humanmachine systems. Accomplishing justice AI data analytics substantial, collaborative, ongoing process requires developing organizational capacity. IV. What transparency artificial intelligence machine learning? Assessing decisionmaking fair holding decisionmakers accountable requires able understand it. So, concepts justice accountability follow principles requiring transparency, example, ensuring algorithmic systems sufficiently understood decisionsubjects. One feature algorithmic decisionmaking met concern systems black boxeshow decisions entirely opaque, build them. If algorithmic decisionmaking black box, parties subject decisions poor position assess treated fairly users poor position know satisfies commitment justice. Parties hiring firing decisions parole decisions use products, pharmaceuticals, discovered designed algorithms significant understanding decisions products use designed. Since black box algorithms serve obstacle realizing justice important values, concerns opacity algorithmic decisionmaking met calls transparency algorithmic decisionmaking.11Cynthia Rudin, Stop Explaining Black Box Machine Learning Models High Stakes Decisions Use Interpretable Models Instead, Nature Machine Intelligence 1, no. 5 May 2019: 20615, 12Jonathan Zittrain, The Hidden Costs Automated Thinking, The New Yorker, July 23, 2019, However, like justice, transparency meanings, translating calls transparency guidance design use algorithmic decisionmaking systems requires clarifying transparency important context, obligation transparent, forms transparency meet obligations.13Kathleen A. Creel, Transparency Complex Computational Systems, Philosophy Science 87, no. 4 April 30, 2020: 56889, IV.1 The values concepts underlying transparency Transparent decisionmaking important essential realizing variety values concepts. One example, mentioned, justice. Opacity prevent decisionsubjectse.g., person seeking loan, parole, applying social services, social media content removedfrom determining fact treated respectfully fairly. In contexts, decisionmakers owe decisionsubjects consideration. It important hear out, try understand perspective, perspective seriously making decisions. It disrespectful shows lack consideration unilateral decisions significant impacts taking specific details circumstances account. When parole board decides grant parole, example, decisionsubjects right know decisionmakers good faith effort understand relevant details lives details accounti.e., treated individual. In addition role transparency plays helping achieve justice, play important role realizing concepts values. Compliance Compliance normative concept associated value respecting law. Opaque decisionmaking systems difficult determine model compliant applicable laws, regulations, codes conduct, ethical norms. If recidivism prediction system, targeted advertising system, ranking dating apps completely opaque way tell using, example, race ethnicity proxies thereof decisionmaking, impossible tell compliance antidiscrimination law requirements justice. Thus, transparency justified important makes possible determine satisfies legal ethical obligations. Autonomy Autonomy normative concept associated value respecting persons. Enabling autonomy involves allowing people informed decisions, especially decisions significant impacts life prospects. Opaque decisionmaking systems difficult decisionsubjects use decisions guide future behavior choices. If decisionsubject rejected loan, job, school admission, social service access decision made, achieve satisfactory outcome, difficult time determining achieve favorable outcome future reapply. Thus, transparency valuable informs empowers decisionmaking subjects change behaviors ways impact future decisions trajectory lives. Knowledge Knowledge normative concept grounded value understanding. Knowledge enables better understand world place it. In instances, algorithmic systems uncover hidden patterns large data sets. These patterns help develop diagnostics treatments knowledge patterns andor underlying mechanisms cause explain patterns remains opaque. 14Zittrain, The Hidden Costs Automated Thinking. Knowledge areas help practitioners intervene realize better outcomes generate new understanding, cures, insights domain. 15Rich Caruana et al., Intelligible Models Healthcare: Predicting Pneumonia Risk Hospital 30Day Readmission, Proceedings 21st ACM SIGKDD International Conference Knowledge Discovery Data Mining, KDD 15: ACM, 2015, 172130. Thus, transparency valuable enables future discoveries. Trust Trust normative concept related variety foundational values, including developing good relationships, trust grounds principles transparency transparency build trust. To fully realize benefits algorithmic tools, medicine route mapping, stakeholders trust systems ways exercise power lives. Stakeholders understand decisions likely accept use technologies decisions. Thus, transparency valuable foster trust decisionmaking systems. IV.2 Specifying transparency commitments Just concepts, including justice, ground principles transparency, ways decisionsystem transparent, forms commitments transparency take, commitment interpretability algorithmic decisionmaking systems, commitment explainability algorithmic decisions, commitment accountability decisions. For example, transparent sense individual decisions behaviors understood technical experts decisionsubjects. For instance, scientist able explain sensitive algorithmic decisionmaking set insurance rates factors age driving experience. A broader form transparency involves transparent certain decisionmaking systems use, decisionmaking systems opaque. For instance, decisionmaker decisionsubjects use largely opaque recommendation engine results vastly accurate recommendations low risk. Here ways understanding common commitments transparency: Interpetability An oftendiscussed way commit transparency algorithmic decisionmaking require systems interpretable.16Rudin, Stop Explaining Black Box Machine Learning Models High Stakes Decisions Use Interpretable Models Instead. Some algorithmic systems complexfor example, rely models built large data sets involve layersthat data scientists determine precise way inputs transformed outputs. The interpretability relevant values above. For example, uninterpretable obstacle discovering underlying patterns inference relies impossible ensure compliance certain norms. However, AI ML systems uninterpretable, data scientists working develop tools recover interpretability black box systems. Explainability Another kind commitment transparency require algorithmic decisionmaking systems explainable.17Hani Hagras, Toward HumanUnderstandable, Explainable AI, Computer 51, no. 9 September 2018: 2836, A decisionmaking explainable possible offer stakeholders explanation understood justifying given decision, behavior, outcome. An interpretable necessarily generate outputs explainable sense; knowing inferences underwrite systems decisions serve justify decisions. Explainability essential realizing values discussed above. Decisionsubjects need know reasons considerations led decisions treated respect trust decisionmakers. It crucial ensuring compliance legal ethical norms. Justified opacity Being transparent sense ensuring interpretability explainability come cost accuracy system, i.e., tradeoffs accuracy hand interpretability explainability other. In cases, tradeoff justifiedi.e., contexts maximizing accuracy important ensuring algorithmic decisionmaking interpretable explainable. Even so, broader commitment transparency help realize core concepts trust. For example, patients willing accept uninterpretable diagnostic tool tool significantly accurate alternatives. Transparency reasons adopting opaque systems serve justify forms opacity. Auditability A final kind commitment transparency auditability.18Bruno Lepri et al., Fair, Transparent, Accountable Algorithmic DecisionMaking Processes, Philosophy Technology 31, no. 4 December 1, 2018: 61127, It feasible provide transparency individual decisions system. Still, possible evaluate auditing set decisions periodically based certain observed patterns decisionmaking determine core values realized. For example, infeasible provide explanation decision autonomous vehicle system, important increasing trust audits reveal explanations particular decisions. One virtue auditing procedures provide transparency solely algorithmic decisionmaking broader systems embedded. A carefully constructed audit provide assurance decisionmaking systems broadly trustworthy, reliable, compliant. Moving principle transparency appropriate commitment ultimately measurable specification given context involves determining core concepts trying achieve decisioncontext principle transparency specific commitments transparency best instantiate principle. reasing interpretability help minimize safety concerns little increase trust provide evidence respect, example. Figure 6. Example: LowRisk Health Diagnostic ToolsA lowrisk health diagnostic tool algorithm reliably provides diagnosis conditions patients failed diagnosis comes low cost. In case, principle transparency stems concepts health, reliability, safety, grounded values wellbeing good relationships. Because transparency grounded core concepts, transparency appropriate commitment justifying use opaque terms accuracy commitment auditing results ensure remains accurate demonstrate reliability build trust. Figure 7. Example: DrugDiscovery AlgorithmDrug discovery algorithms rely use algorithmic tools identify promising treatments disease. In case principle transparent grounded core concept knowledge, stems value understanding, commitment best embodies principle interpretability understanding underlying structure decisions yield knowledge. Figure 8. Example: Algorithmic LendingIn case lending application, principle transparency grounded, partly, concepts justice, autonomy, compliance. These important concepts help realize values recognizing equal worth persons, respect persons, acting according legitimate laws. Given way principle transparency, case, relates core concepts foundational values, grounds commitments interpretability explainability form. Explainability helps decisionsubjects decisions justified respected, example. Interpretability ensure algorithmic decisionmaking compliant law. And jointly, explainability interpretability help ensure requirements justice met. Transparency explainability AI ML: Key takeaways Opacity obstacle achieving variety values core ethical concepts, including justice. Developing transparency standards overcome obstacles requires recognizing transparency valuable important given context. Developing transparency standards requires identifying commitments transparencyinterpretability, explainability, justified opacity, auditabilityare necessary sufficient realizing relevant values concepts given context. Satisfying transparency standards require understands decision made. In contexts, high level transparency needed compromise important values, efficiency accuracy. V. Conclusion: From normative content specific commitments General commitments ethics AI big data use commonplace. A step realizing adopting principles, value statements, frameworks, codes broadly articulate responsible development use encompass. However, concepts principles impactif aspirations platitudesthen organizations loose talk values commitments clarifying normative concepts embody foundational values, principles embody concepts, specific commitments principles particular use case, ultimately specification evaluate lived commitments. It common hear organizations claim favor justice transparency. The hard work clarifying commitment means realizing practice. This report emphasized complexities associated moving general commitments substantive specifications AI data ethics. Much complexity arises key factors: Ethical conceptssuch justice transparencyoften senses meanings.Which senses ethical concepts operative appropriate contextual.Ethical concepts multidimensionale.g., terms needs transparent, whom, form. An implication factors specifying normative content AI data ethics strictly technical problem. It requires ethical expertise, knowledge relevant contextual domainspecific factors, expertise humanmachine interactions, addition knowledge technical systems. Moreover, possible substantively specify general standard justice transparency ethical concept applied instance AI development use. A corollary organizations successful realizing ethical commitments accomplishing responsible AI, think broadly build ethical capacity organizations. The field AI data ethics developing, initiatives organizations this, including following: Organizational structures governance Creating AI data ethics committees help develop policies, consult projectsproducts, conduct reviewsEstablishing responsible innovation officer positions role includes translating ethical codes principles practiceDeveloping tools, organizational practices, structuresprocesses encourage employees identify raise potential ethical concerns Broadening perspectives collaborations Meaningfully engaging impacted communities better understand ethical concerns ways AI data systems perpetuate inequality, identifying opportunities promoting equality, empowerment, social goodHiring inhouse ethics social science experts andor consulting external experts Training education Developing ethics trainingscurricula employees, partners, customers raise awareness understanding organizations commitmentsCreating programs encourage integrating ethics education science, data science, leadership programs Integrating ethics practice orporating valuesensitive design early product developmentoften responsible innovation practicesby including members represent legal, ethical, social perspectives research project teamsConducting ethics audits data AI systems technical tools case reviewsConducting privacy ethicsoriented risk liability assessments considered decisionmaking processesDeveloping ways signal users customers products services meet robust ethical standardsEnsuring compliance responsible innovation protocols best practices organization Building AI data ethics community Developing industry crossindustry collaborative groups fora share experiences, ideas, knowledge, innovations related accomplishing responsible AICreating teams organizations collaborations organizations focused promoting AI social good welldefined specificationsSupporting foundational AI data ethics research problemsissues organizational concern This collection interconnected strategies innovated sectorse.g., business, medicine, education, financial services, government, nonprofitsand scalese.g., startups multinationals local federal. Collectively, provide rich set possibilities generating ethical capacity organizations. They demonstrate challenge translating general commitments substantive action fundamentally technosocial requires multilevel solutions incorporating diverse groups expertise. They translating general AI ethics principles substantive operationalized efforts easily done. It involves significant ongoing commitment. VI. Contributors John Basl, PhDAssociate Professor PhilosophyNortheastern University Author John Basl author report. He associate professor philosophy Department Philosophy Religion Northeastern University, researcher Northeastern Ethics Institute, faculty associate Edmond J. Safra Center Ethics Berkman Klein Center Internet Society Harvard University. He works primarily moral philosophy, ethics AI, ethics emerging technologies. Ronald Sandler, PhDProfessor Philosophy; Chair, Department Philosophy Religion; Director, Ethics InstituteNortheastern University Author Ronald Sandler author report. He professor philosophy, Chair Department Philosophy Religion, Director Ethics Institute Northeastern University. He works ethics emerging technologies, environmental ethics, moral philosophy. Sandler author Nanotechnology: The Social Ethical Issues Woodrow Wilson International Center Scholars, Environmental Ethics: Theory Practice Oxford, Food Ethics: The Basics Routledge, Character Environment Columbia, editor Ethics Emerging Technologies Palgrave MacMillan, Environmental Justice Environmentalism MIT, Environmental Virtue Ethics Rowman Littlefield. Steven TiellNonresident Senior Fellow, GeoTech CenterAtlantic Council Contributing Editor Steven contributing editor report. He Nonresident Senior Fellow Atlantic Councils GeoTech Center. He expert data ethics responsible innovation working Accenture, helps clients integrate responsible product development practices executives manage risks brought digital transformation widespread use artificial intelligence. He founded Data Salon Series, program GeoTech Center, 2018. Since embarking Data Ethics research 2013, Steven contributed published dozen papers worked dozens organizations hightech, media, telecom, financial services, public safety, public policy, government, defense sectors. He speaks topics governance, trust, data ethics, surveillance, deepfakes, industry trends. new Fast Thinking news alerts Want speed meaning big, breaking international developments? We covered Sign receive rapid insight inbox Atlantic Council experts global events unfold. Email CommentsThis field validation purposes left unchanged. Issues Regions Insights impact People Programs Events Get involved Support Council About Council Media Careers 2021 Atlantic Council . 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https://www.atlanticfinancialmanagement.co.uk/pressroom/news/343164/conversational-ai-platform-market-consumption-analysis-growth-forecast-by-manufacturers-ibm-liveperson-botjet-cognigy-georgian-partners-just-ai-kasisto-avaamo/
| 2021-02-22T00:00:00 |
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Conversational AI Platform Market Consumption Analysis, Growth Forecast by Manufacturers – IBM, LivePerson, Botjet, Cognigy, Georgian Partners, Just AI, Kasisto, Avaamo – Atlantic Financial Management
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Conversational AI Platform Market Consumption Analysis, Growth Forecast by Manufacturers – IBM, LivePerson, Botjet, Cognigy, Georgian Partners, Just AI, Kasisto, Avaamo – Atlantic Financial Management
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Conversational AI Platform Market Consumption Analysis, Growth Forecast by Manufacturers – IBM, LivePerson, Botjet, Cognigy, Georgian Partners, Just AI, Kasisto, Avaamo
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Feb 22, 2021
“
Conversational AI Platform Market by Producers, Program, Product Form and App, Forecast to 2027. To know one of the numerous affecting controlling and driving variables on the current market and its effect within the global Conversational AI Platform market. The report highlights crucial Conversational AI Platform marketplace dynamics of this industry. Quite a few definitions and conditions of these industry advancements of the business and series structure have been contained. The present market situation and prospects of both Conversational AI Platform sector also have been analyzed.
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IBM
LivePerson
Botjet
Cognigy
Georgian Partners
Just AI
Kasisto
Avaamo
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Segmentation According to Conversational AI Platform Market Types:
Web-Based
Installed
iOS
Android
Segmentation According to Conversational AI Platform software:
Personal Use
Business Use
The international Conversational AI Platform marketplace on the grounds of high geographical areas:
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Conversational AI Platform Market Consumption Analysis, Growth Forecast Manufacturers IBM, LivePerson, Botjet, Cognigy, Georgian Partners, Just AI, Kasisto, Avaamo Atlantic Financial Management Skip content Mon. Feb 22nd, 2021 Atlantic Financial Management Energy Pressroom Space All News News Conversational AI Platform Market Consumption Analysis, Growth Forecast Manufacturers IBM, LivePerson, Botjet, Cognigy, Georgian Partners, Just AI, Kasisto, Avaamo Byanita_adroit Feb 22, 2021 Conversational AI Platform Market Producers, Program, Product Form App, Forecast 2027. To know numerous affecting controlling driving variables current market effect global Conversational AI Platform market. The report highlights crucial Conversational AI Platform marketplace dynamics industry. Quite definitions conditions industry advancements business series structure contained. The present market situation prospects Conversational AI Platform sector analyzed. 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Segmentation According Conversational AI Platform Market Types: WebBased Installed iOS Android Segmentation According Conversational AI Platform software: Personal Use Business Use The international Conversational AI Platform marketplace grounds high geographical areas: Leading international Conversational AI Platform marketplace players impacting marketplace included investigation SWOT analysis Conversational AI Platform sector strategies. The Conversational AI Platform report highlighted key industry players jointly information Conversational AI Platform company profiles, goods, solutions provides financial data preceding decades, crucial progresses preceding decades. 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Conversational AI Platform marketplace report depicts evolution company upstream downstream, business development, key associations, write fragment Conversational AI Platform program product type, creates plausible expectation advancement business estimates perspective data. The Conversational AI Platform statistical surveying report advantage, provides present forthcoming specialized financial factors company 2027. This Conversational AI Platform report provokes marketplace perspective producer, regions, forms, software. Conversational AI Platform industry evaluation report talks concerning construction process, kind, software. The study introduces research choices, findings provide summarized view Conversational AI Platform. Ability understand SWOT evaluation enterprise yield evaluation, aspects Conversational AI Platform principal area, tight scenarios gain, production, request, limit, supply, encourage development rate figure. What key Conversational AI Platform marketplace patterns? Whats driving Conversational AI Platform business variables ? What issues Conversational AI Platform market growth? Who Conversational AI Platform important retailers market area? What marketplace openings restraints Conversational AI Platform important retailers? Another portion Conversational AI Platform marketplace report reveals procedure productivity. But procedure assesses indepth Conversational AI Platform study connected manufacturing cost including raw material, labour cost assorted providers industrial gear. Our analysis basically centers exact research segment overall impact Conversational AI Platform marketplace growth. Goal set onlookers Conversational AI Platform report comprises new aspirants expecting rich understanding company, experts, budgetary foundations, essential partners, creates, Conversational AI Platform merchantsbrokerswholesalers, business affiliation. To marketplace methodologies obtained Conversational AI Platform driving different institutions. To possess understanding boundaries Conversational AI Platform perspective prospects marketplace. Moreover, Conversational AI Platform marketplace report supposed keeping source market growth study market, surely boost company potentials. Additionally, Conversational AI Platform marketplace report features advanced strategies SWOT analysis, speculative analysis industrial expansion. In summary, international Conversational AI Platform marketplace provides basic market synopsis, Conversational AI Platform sales revenue, market gains, market share Conversational AI Platform players, SWOT analysis based production areas, evaluation contemporary market trends decisions. Direct Purchase 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 Email ID: [emailprotected] Post navigation Prescriptive Predictive Analytics Market Consumption Analysis, Growth Forecast Manufacturers Tableau, SAS Institute ., Angoss Software, Microsoft Corporation, Versium ., Oracle Corporation, , Infor ., Alteryx, SAP SE, Accenture PLC, Pegasystems, TIBCO, IBM Corporation, Angoss Software Corporation, Zemantis, Teradata Corporation By anita_adroit Related Post News Prescriptive Predictive Analytics Market Consumption Analysis, Growth Forecast Manufacturers Tableau, SAS Institute ., Angoss Software, Microsoft Corporation, Versium ., Oracle Corporation, , Infor ., Alteryx, SAP SE, Accenture PLC, Pegasystems, TIBCO, IBM Corporation, Angoss Software Corporation, Zemantis, Teradata Corporation Feb 22, 2021 anita_adroit News Gesture Recognition In Automotive Market Consumption Analysis, Growth Forecast Manufacturers Harman International, Texas Instruments, Continental AG, Synaptics orporated, Visteon Corporation, EyeSight Technologies Ltd., Sony Depthsensing Solutions, Intel, Delphi Automotive PLC, Melexis Feb 22, 2021 anita_adroit News Financial Planning Analysis Software Market Consumption Analysis, Growth Forecast Manufacturers Envestnet, Advisor Software, eMoney Advisor, Oltis Software, Money Tree, Advizr, Cheshire Software, PIEtech , Moneyw, Razor Logic Systems, inStream Solutions, RightCapital, WealthTec, Wealthcare Capital Management, SunGard WealthStation FIS, Advicent Feb 22, 2021 anita_adroit Recent Posts Conversational AI Platform Market Consumption Analysis, Growth Forecast Manufacturers IBM, LivePerson, Botjet, Cognigy, Georgian Partners, Just AI, Kasisto, Avaamo Stock Images Market Consumption Analysis, Growth Forecast Manufacturers Envato Pty Ltd. Australia, Pixabay Germany, Masterfile Corporation, Thomson Reuters Corp., iStock, Pexels, Shutterstock, PIXTA . Malaysia, Getty Images ., Adobe Stock, Pond5 ., LLC, Depositphotos ., Photocase Germany, Flickr SmugMug Aerospace Market Consumption Analysis, Growth Forecast Manufacturers General Dynamics Corporation, GE Aviation United Technologies Corporation, BAE Systems, Safran Group, Reutech Radar Systems, The Boeing Company, Raytheon, Northrop Grumman Corporation, Rockwell Collins, Lockheed Martin Corporation, Stokvis Tapes, Airbus Pro AV Solutions Market Consumption Analysis, Growth Forecast Manufacturers INVIOT AV Solutions, ESCO Systems, Pyramid Technologies, Godrej AVSolutions, Actis Technologies India, AllWaveAV, AV Solutions India, SISPL AV Solution Company, Info India solution Pro Prescriptive Predictive Analytics Market Consumption Analysis, Growth Forecast Manufacturers Tableau, SAS Institute ., Angoss Software, Microsoft Corporation, Versium ., Oracle Corporation, , Infor ., Alteryx, SAP SE, Accenture PLC, Pegasystems, TIBCO, IBM Corporation, Angoss Software Corporation, Zemantis, Teradata Corporation Archives February 2021 January 2021 December 2020 November 2020 Categories All News Energy News Pressroom Space Meta Log Entries feed Comments feed You missed All News Change Configuration Management Market Consumption Analysis, Growth Forecast Manufacturers CA Technologies, ., Oracle Corporation, Amazon Web Services, Codenvy, ., HewlettPackard Enterprise, BMC Software, Microsoft Corporation, International Business Machine Corporation, Puppet., McCabe Software Feb 22, 2021 anita_adroit News Conversational AI Platform Market Consumption Analysis, Growth Forecast Manufacturers IBM, LivePerson, Botjet, Cognigy, Georgian Partners, Just AI, Kasisto, Avaamo Feb 22, 2021 anita_adroit Pressroom Stock Images Market Consumption Analysis, Growth Forecast Manufacturers Envato Pty Ltd. Australia, Pixabay Germany, Masterfile Corporation, Thomson Reuters Corp., iStock, Pexels, Shutterstock, PIXTA . Malaysia, Getty Images ., Adobe Stock, Pond5 ., LLC, Depositphotos ., Photocase Germany, Flickr SmugMug Feb 22, 2021 anita_adroit Energy Aerospace Market Consumption Analysis, Growth Forecast Manufacturers General Dynamics Corporation, GE Aviation United Technologies Corporation, BAE Systems, Safran Group, Reutech Radar Systems, The Boeing Company, Raytheon, Northrop Grumman Corporation, Rockwell Collins, Lockheed Martin Corporation, Stokvis Tapes, Airbus Feb 22, 2021 anita_adroit Atlantic Financial Management Proudly powered WordPress Theme: Newsup Themeansar. Home
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] | 1 | 5,203 |
https://www.barchart.com/story/news/20216634/tech-titans-will-give-senators-advice-on-artificial-intelligence-in-a-closed-door-forum
| 2023-09-13T00:00:00 |
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Tech titans will give senators advice on artificial intelligence in a closed-door forum
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Tech titans will give senators advice on artificial intelligence in a closed-door forum
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Tech titans will give senators advice on artificial intelligence in a closed-door forum
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Screener Futures Futures Market Pulse Futures Market Overview Long Term Trends Todays Price Surprises Highs Lows Futures Market Map Performance Leaders Most Active Futures Prices Exchange Commodity Groupings Commodities Prices Currencies Energies Financials Grains Indices Livestock Metals Softs Mini Micro Futures Futures Trading Guide Trading Guide Historical Performance Commitment Traders Commitment Traders Legacy Report Disaggregated Report Financial TFF Report Resources Contract Specifications Futures Expirations First Notice Dates Options Expirations Economic Calendar Cash Markets Cash Markets Overview Corn Indexes Soybean Indexes Wheat Indexes Yield Forecast Indexes European Futures Euro Futures Overview Long Term Trends Todays Price Surprises Highs Lows Futures Market Map Performance Leaders Most Active Futures European Groupings Commodities Prices Energies Financials Grains Indices Metals Softs Power Futures Carbon Futures European Trading Guide European Trading Guide Historical 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] | 1 | 5,204 |
https://www.barchart.com/story/news/20467911/cisco-buying-cybersecurity-firm-splunk-for-28-billion-bolstering-defenses-as-use-of-ai-widens
| 2023-09-21T00:00:00 |
en
|
Cisco buying cybersecurity firm Splunk for $28 billion, bolstering defenses as use of AI widens
|
Cisco buying cybersecurity firm Splunk for $28 billion, bolstering defenses as use of AI widens
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Stocks to Own Top Signal Strength Top Signal Direction Stock Signal Upgrades Sectors Stock Market Sectors Major Markets Heat Map Industry Rankings Industry Heat Map Industry Performance Related Symbols Symbol Last Chg %Chg SPLK 144.76 +25.17 +21.05% Splunk Inc CSCO 54.01 -1.49 -2.68% Cisco Systems Inc Most Popular News 1 Will Nvidia Stock Double From Here? 2 3 Energy Stocks Under $20 to Consider as Oil Prices Rise 3 Markets Today: Stocks Little Changed as FOMC Expected to Announce a Hawkish Pause 4 3 Ways to Profit From a New Bull Market for Uranium 5 S&P Futures Plunge Ahead of FOMC Meeting, Oil’s Climb Raises Inflation Concerns Log In Sign Up Site News Contact Market: US Canada UK Australia Europe HOME Stocks Market Pulse Stock Market Overview Market Momentum Market Performance Top 100 Stocks Today's Price Surprises New Highs & Lows Economic Overview Earnings Within 7 Days Earnings & Dividends Stock Screener Barchart Trade Picks Today's Top Stock Pick All Top Stock Picks Performance 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Cisco buying cybersecurity firm Splunk for $28 billion, bolstering defenses as use of AI widens
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] | 1 | 5,205 |
https://www.bbc.co.uk/news/technology-66739858
| 2023-09-07T00:00:00 |
en
|
Google: Political adverts must disclose use of AI - BBC News
|
Google: Political adverts must disclose use of AI - BBC NewsBBC HomepageSkip to contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menuSearch BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar in UkraineClimateVideoWorldUS & CanadaUKBusinessTechScienceMoreEntertainment & ArtsHealthIn PicturesBBC VerifyWorld News TVNewsbeatTechGoogle: Political adverts must disclose use of AIPublished1 hour agoShareclose panelShare pageCopy linkAbout sharingImage source, Getty ImagesBy Shiona McCallumTechnology reporterGoogle will soon require that political ads on its platforms let people know when images and audio have been created using artificial intelligence (AI).The rules have been created as a response to the "growing prevalence of tools that produce synthetic content", a Google spokesperson told the BBC.The change is scheduled for November, about a year ahead of the next US presidential election.There are fears AI will supercharge disinformation around the campaigns.Google's existing ad policies already ban manipulating digital media to deceive or mislead people about politics, social issues, or matters of public concern.But this update will require election-related ads to "prominently disclose" if they contain "synthetic content" that depicts real or realistic-looking people or events.Google suggested labels such as "this image does not depict real events" or "this video content was synthetically generated" will work as flags.Demonstrably false claims that could undermine trust in the election process are also forbidden at Google, according to the tech giant's ad policy.Google requires political ads to disclose who paid for them, and makes information about the messages available in an online ads library.Disclosures of digitally altered content in election ads must be "clear and conspicuous", and put where they are likely to be noticed.Examples of what would warrant a label included synthetic imagery or audio showing a person saying or doing something they did not do, or depicting an event that did not occur.In March, a fake picture of former US President Donald Trump falsely showing him being arrested was shared on social media. The image was created by AI tools. Also in March, a deepfake video circulated of Ukrainian President Volodymyr Zelensky talking of surrendering to Russia.This video can not be playedTo play this video you need to enable JavaScript in your browser.Media caption, Watch: The BBC's James Clayton puts a deepfake video detector to the testIn June, a Ron DeSantis campaign video attacking former President Trump featured images bearing markings of having been created using AI.The video shared in a tweet contained photos that appeared to have been altered to show Mr Trump embracing Anthony Fauci, a key member of the US coronavirus task force, with kisses on the cheek.AI experts have told the BBC that while faked imagery is nothing new, the speed of progress within the generative AI field, and potential for misuse, is something to be concerned about.Google said it continues to invest in technology to detect and remove such content.Related TopicsGoogleArtificial intelligenceDisinformationDeepfakesMore on this storyBBC puts new deepfake detector to the testPublished23 JulySeven AI companies agree to safeguards in the USPublished22 JulyWhy some celebrities are embracing AI deepfakesPublished19 JulyTop StoriesUS to arm Ukraine with controversial tank shellsPublished5 hours agoJapan boyband agency boss resigns over predator's abusePublished1 hour agoSecurity lapse let killer 'crab walk' out of US jailPublished6 hours agoloadingFeaturesPalestinians set out terms for Saudi-Israeli dealWhy Vancouver is letting go of green lawnsHow one blind boy helped rebuild his school. VideoHow one blind boy helped rebuild his schoolIndia's solar mission sends 'selfie' on way to SunHow India is asserting its global presence at G20 summitWhy Venice is mired in controversyThe YouTube star killed by her fatherStarfield creator defends long video gamesLies fuel racism ahead of historic Australia voteElsewhere on the BBCFive of the best countries for expats in 2023How bad skin influences ageIs Hollywood self-destructing?Most Read1Japan boyband agency boss resigns over predator's abuse2US to arm Ukraine with controversial tank shells3China wants to ban clothes that 'hurt nation's feelings'4Security lapse let killer 'crab walk' out of US jail5Why Vancouver is letting go of green lawns6Suspected killer held after bodies found in kitchen7'A player is going to die' - Medvedev wins in heat8Austrian honeymooners missing in deadly Greek floods9Hurricane Lee could become 'extremely dangerous'10Judge tells Texas to remove floating border barrierBBC 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. The BBC is not responsible for the content of external sites. Read about our approach to external linking.
|
Google: Political adverts must disclose use of AI
|
Google: Political adverts disclose use AI BBC NewsBBC HomeSkip contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menu BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar UkraineClimateVideoWorldUS CanadaUKBusinessTechScienceMoreEntertainment ArtsHealthIn PicturesBBC VerifyWorld News TVNewsbeatTechGoogle: Political adverts disclose use AIPublished1 hour agoShareclose panelShare Copy linkAbout sharingImage source, Getty ImagesBy Shiona McCallumTechnology reporterGoogle soon require political ads platforms let people know images audio created artificial intelligence AI.The rules created response growing prevalence tools produce synthetic content, Google spokesperson told BBC.The change scheduled November, year ahead US presidential election.There fears AI supercharge disinformation campaigns.Googles existing ad policies ban manipulating digital media deceive mislead people politics, social issues, matters public concern.But update require electionrelated ads prominently disclose contain synthetic content depicts real realisticlooking people events.Google suggested labels image depict real events video content synthetically generated work flags.Demonstrably false claims undermine trust election process forbidden Google, according tech giants ad policy.Google requires political ads disclose paid them, makes information messages available online ads library.Disclosures digitally altered content election ads clear conspicuous, likely noticed.Examples warrant label included synthetic imagery audio showing person saying do, depicting event occur.In March, fake picture US President Donald Trump falsely showing arrested shared social media. The image created AI tools. Also March, deepfake video circulated Ukrainian President Volodymyr Zelensky talking surrendering Russia.This video playedTo play video need enable JavaScript browser.Media caption, Watch: The BBCs James Clayton puts deepfake video detector testIn June, Ron DeSantis campaign video attacking President Trump featured images bearing markings created AI.The video shared tweet contained photos appeared altered Mr Trump embracing Anthony Fauci, key member US coronavirus task force, kisses cheek.AI experts told BBC faked imagery new, speed progress generative AI field, potential misuse, concerned about.Google said continues invest technology detect remove content.Related TopicsGoogleArtificial intelligenceDisinformationDeepfakesMore storyBBC puts new deepfake detector testPublished23 JulySeven AI companies agree safeguards USPublished22 JulyWhy celebrities embracing AI deepfakesPublished19 JulyTop StoriesUS arm Ukraine controversial tank shellsPublished5 hours agoJapan boyband agency boss resigns predators abusePublished1 hour agoSecurity lapse let killer crab walk US jailPublished6 hours agoloadingFeaturesPalestinians set terms SaudiIsraeli dealWhy Vancouver letting green lawnsHow blind boy helped rebuild school. VideoHow blind boy helped rebuild schoolIndias solar mission sends selfie way SunHow India asserting global presence G20 summitWhy Venice mired controversyThe YouTube star killed fatherStarfield creator defends long video gamesLies fuel racism ahead historic Australia voteElsewhere BBCFive best countries expats 2023How bad skin influences ageIs Hollywood selfdestructing?Most Read1Japan boyband agency boss resigns predators abuse2US arm Ukraine controversial tank shells3China wants ban clothes hurt nations feelings4Security lapse let killer crab walk US jail5Why Vancouver letting green lawns6Suspected killer held bodies kitchen7A player going die Medvedev wins heat8Austrian honeymooners missing deadly Greek floods9Hurricane Lee extremely dangerous10Judge tells Texas remove floating border barrierBBC 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.
| 2,023 |
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https://www.bbc.co.uk/news/uk-england-leicestershire-60403934
| 2022-02-20T00:00:00 |
en
|
Leicester AI team seek volunteers for robot interaction - BBC News
|
Leicester AI team seek volunteers for robot interaction - BBC NewsBBC HomepageSkip to contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureCultureMenuMoreSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeCoronavirusClimateVideoWorldUS & CanadaUKBusinessTechScienceStoriesMoreEntertainment & ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsEnglandRegionsLeicesterLeicester AI team seek volunteers for robot interactionBy Greig Watson and Rupal Rajani Radio LeicesterBBC NewsPublished57 minutes agoSharecloseShare pageCopy linkAbout sharingImage caption, While the technology is rudimentary, Prof Tracy Harwood believes it has great potentialVolunteers are being sought to teach emotional responses to a type of robot.A De Montfort University (DMU) team, in Leicester, created the artificial intelligence programme which can judge an onlooker's mood.Named PLEA, its uses cameras and microphones to monitor a subject and their immediate environment and responds via a projected face.The team are looking for people to interact with the robot so it can learn subtler facial expressions.Image source, Getty ImagesImage caption, The programme could have potential to be used in care environments to combat loneliness, the team saidPLEA has previously been seen at the central library but the public is being asked to book slots with the system at a pop-up exhibition space on Churchgate.Tracy Harwood, professor of digital culture at DMU, said the programme was constantly learning from interacting with people."We want to see how well it communicates using non verbal methods," she said."Even when people are wearing masks or have hair on their faces, if you are frowning or smiling, it can read that."Is it responsive to you? Is it copying you? Are you copying it? How do you feel about what it is doing?" Practical applicationsHour-long slots include a briefing and interview about the experience.Prof Harwood said the robot would eventually be able to speak and there was a practical application in mind."It's rudimentary but the potential for it to communicate and be company for people is definitely there," she said."The aim of it is to put it into care settings, a more a social setting than a private home "The idea is it reduces loneliness, it increases your desire to want to communicate."Follow BBC East Midlands on Facebook, on Twitter, or on Instagram. Send your story ideas to [email protected] on this storyMental health helpline ends data-sharing2 FebruaryThe chefs turning to artificial intelligence25 JanuaryWhat is artificial intelligence?27 November 2021Why artificial intelligence is being used to write adverts6 August 2021Robots help care home residents stay in touch21 April 2020Related Internet LinksDe Montfort Universityart-ai festivalThe BBC is not responsible for the content of external sites.Related TopicsArtificial intelligenceLeicesterFrom other local news sitesControversial scheme to rename Leicestershire Police has been axedExternalHarborough TodayStorm Eunice: All trains from Harborough to London have been suspendedExternalHarborough TodayMelton couple’s strokes prompt fundraiser for ‘fantastic’ medical teamExternalMelton TimesLeicestershire Police name change plan dropped after public oppositionExternalMelton TimesInformation about BBC links to other news sitesTop StoriesRussia plans biggest war in Europe since 1945 - JohnsonPublished4 hours agoOttawa police clear main protest sitePublished12 hours agoWe will not respond to provocations, Ukraine saysPublished10 hours agoFeatures‘I feel reborn after pioneering gene-editing treatment’Criss-crossing Ukraine with President ZelenskyThe man who lived in a forest for 30 yearsThe Nigerian artwork challenging British historyWhy won’t Telegram take down my naked photos? VideoWhy won’t Telegram take down my naked photos?What would a world without humans be like?The coach who gave Valieva a 'chilling' receptionCan politics of freebies win voters in India?The forgotten Civil War hero that America betrayedElsewhere on the BBC'Almost everything you ever do is going to fail'Richard Osman on life as a broadcaster and writerLouis Theroux's Forbidden AmericaBehind the faces leading US far right political movements onlineRunning from Conwy to Cardiff Castle...Six gruelling days at the world’s toughest mountain raceMost Read1Russia plans biggest war in Europe since 1945 - PM2Passenger missing from ferry fire found alive3Ottawa police clear main protest site4We will not respond to provocations, Ukraine says5Epstein associate found dead in Paris prison cell6‘I feel reborn after pioneering gene-editing treatment’7The man who lived in a forest for 30 years8Controversial Ethiopia dam starts generating power9Finland win first ice hockey gold10Mexican army moves in on drug lord's home townBBC 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© 2022 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking.
|
Leicester AI team seek volunteers for robot interaction
|
Leicester AI team seek volunteers robot interaction BBC NewsBBC HomeSkip contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureCultureMenuMoreHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeCoronavirusClimateVideoWorldUS CanadaUKBusinessTechScienceStoriesMoreEntertainment ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsEnglandRegionsLeicesterLeicester AI team seek volunteers robot interactionBy Greig Watson Rupal Rajani Radio LeicesterBBC NewsPublished57 minutes agoSharecloseShare Copy linkAbout sharingImage caption, While technology rudimentary, Prof Tracy Harwood believes great potentialVolunteers sought teach emotional responses type robot.A De Montfort University DMU team, Leicester, created artificial intelligence programme judge onlookers mood.Named PLEA, uses cameras microphones monitor subject immediate environment responds projected face.The team looking people interact robot learn subtler facial expressions.Image source, Getty ImagesImage caption, The programme potential care environments combat loneliness, team saidPLEA previously seen central library public asked book slots popup exhibition space Churchgate.Tracy Harwood, professor digital culture DMU, said programme constantly learning interacting people.We want communicates non verbal methods, said.Even people wearing masks hair faces, frowning smiling, read that.Is responsive you? Is copying you? Are copying it? How feel doing? Practical applicationsHourlong slots include briefing interview experience.Prof Harwood said robot eventually able speak practical application mind.Its rudimentary potential communicate company people definitely there, said.The aim care settings, social setting private home The idea reduces loneliness, increases desire want communicate.Follow BBC East Midlands Facebook, Twitter, Instagram. Send story ideas eastmidsnews storyMental health helpline ends datasharing2 FebruaryThe chefs turning artificial intelligence25 JanuaryWhat artificial intelligence?27 November 2021Why artificial intelligence write adverts6 August 2021Robots help care home residents stay touch21 April 2020Related Internet LinksDe Montfort Universityartai festivalThe BBC responsible content external sites.Related TopicsArtificial intelligenceLeicesterFrom local news sitesControversial scheme rename Leicestershire Police axedExternalHarborough TodayStorm Eunice: All trains Harborough London suspendedExternalHarborough TodayMelton couples strokes prompt fundraiser fantastic medical teamExternalMelton TimesLeicestershire Police change plan dropped public oppositionExternalMelton TimesInformation BBC links news sitesTop StoriesRussia plans biggest war Europe 1945 JohnsonPublished4 hours agoOttawa police clear main protest sitePublished12 hours agoWe respond provocations, Ukraine saysPublished10 hours agoFeaturesI feel reborn pioneering geneediting treatmentCrisscrossing Ukraine President ZelenskyThe man lived forest 30 yearsThe Nigerian artwork challenging British historyWhy wont Telegram naked photos? VideoWhy wont Telegram naked photos?What world humans like?The coach gave Valieva chilling receptionCan politics freebies win voters India?The forgotten Civil War hero America betrayedElsewhere BBCAlmost going failRichard Osman life broadcaster writerLouis Therouxs Forbidden AmericaBehind faces leading US far right political movements onlineRunning Conwy Cardiff Castle...Six gruelling days worlds toughest mountain raceMost Read1Russia plans biggest war Europe 1945 PM2Passenger missing ferry alive3Ottawa police clear main protest site4We respond provocations, Ukraine says5Epstein associate dead Paris prison cell6I feel reborn pioneering geneediting treatment7The man lived forest 30 years8Controversial Ethiopia dam starts generating power9Finland win ice hockey gold10Mexican army moves drug lords home townBBC News ServicesOn mobileOn smart speakersGet news alerts BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms UseAbout BBCsAccessibility HelpParental Guidance BBCGet Personalised NewslettersWhy trust BBCAdvertise usAdChoices Do Not Sell My Info 2022 BBC. The BBC responsible content external sites. Read approach external linking.
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| 2023-07-28T00:00:00 |
en
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Netflix touts $900k AI jobs amid Hollywood strikes - BBC News
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Netflix touts $900k AI jobs amid Hollywood strikes - BBC NewsBBC HomepageSkip to contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menuSearch BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar in UkraineClimateVideoWorldUS & CanadaUKBusinessTechScienceMoreEntertainment & ArtsHealthIn PicturesBBC VerifyWorld News TVNewsbeatUS & CanadaNetflix touts $900k AI jobs amid Hollywood strikesPublished26 minutes agoShareclose panelShare pageCopy linkAbout sharingRelated TopicsSAG strike 2023Image source, Getty ImagesBy Max MatzaBBC NewsNetflix has triggered an angry response from striking Hollywood actors and writers after posting a job advert for an artificial intelligence (AI) expert. The new position would join its Machine Learning Platform team, which drives the Netflix algorithm helping viewers pick new programmes to watch. It pays up to $900,000 (£700,000) per year, fuelling further outrage.Hollywood unions are striking over concerns about how AI affects the entertainment industry and pay. The job listing, which was first reported by The Intercept on Tuesday, is one of several listed on the Netflix job page that calls for applicants with experience in machine learning (ML) and AI. It is unclear from the expansive job advert whether the the role will include advising on content - the TV programmes and films that Netflix chooses to invest in.Another open listing for a product manager on the Machine Learning Platform team says the future employee will "collect feedback and understand user needs" and ultimately helping with investment decisions.The description appears to suggest that the role will include using AI to assess funding needs for different programmes. This is a key concern of the union representing actors, Sag-Aftra, which has spoken of its fears that algorithms have too much power.Sag-Aftra's Fran Drescher told Time magazine the singular success of any film or television programme is now much less important than when broadcast television was dominant."Algorithms dictate how many episodes a season needs to be before you reach a plateau of new subscribers and how many seasons a series needs to be on," she claimed. "That reduces the amount of episodes per season to between six and 10, and it reduces the amount of seasons to three or four. You can't live on that. "We're being systematically squeezed out of our livelihood by a business model that was foisted upon us, that has created a myriad of problems for everyone up and down the ladder."The writers' guild, WGA, has proposed a system that regulates the use of AI in the writing process and prevents it being used as source material.Netflix declined to comment about the job listings, but has previously said AI will not replace the creative process."The best stories are original, insightful and often come from people's own experiences," Netflix has said.Hollywood writers fear losing work to AIThe Black Mirror plot about AI that worries actorsThe news of the most recent AI-based job listing was condemned by some striking actors, who must earn $26,470 before being eligible for health insurance benefits."So $900k/yr per soldier in their godless AI army when that amount of earnings could qualify thirty-five actors and their families for Sag-Aftra health insurance is just ghoulish," actor Rob Delaney, told The Intercept.Javier Grillo-Marxuach, who is best known for the series Lost, accused Netflix of "pleading poverty while recruiting VERY (more than I've ever made in a year BY FAR) well-paid generals for your soulless army of silicon plagiarists".Earlier this week, Netflix announced the launch of a new app - My Netflix - which the company calls "a one-stop shop tailored to you with easy shortcuts to help you choose what you want to watch".This video can not be playedTo play this video you need to enable JavaScript in your browser.Media caption, Watch: Brian Cox: 'I am concerned about artificial intelligence'Related TopicsTelevisionSAG strike 2023Artificial intelligenceUnited StatesHollywoodStrike actionMore on this storyHollywood writers fear losing work to AIPublished21 hours agoThe Black Mirror plot about AI that worries actorsPublished14 JulyTop StoriesTrump accused of asking employee to delete footagePublished3 hours agoJuly set to be world's warmest month on recordPublished8 hours agoNiger coup supporters set fire to ruling party HQPublished3 hours agoFeaturesFalse claims of bogus heatwave spread onlineWeekly quiz: How has Barbie broken big-screen records?A daughter's quest to find her mother's remainsThe Steel Roses of Chinese football are outkicking menTunisia fires: 'We had no water to douse the flames'Water, fire and oceans: Africa’s top shotsThe UFO reports interesting NasaNiger coup makes a troubled region yet more fragileThe world's hottest month explained... in 60 seconds. VideoThe world's hottest month explained... in 60 secondsElsewhere on the BBCThe ancient Chinese way to cool homesWhy brands are leaving social mediaThe film that has divided the USMost Read1Trump accused of asking employee to delete footage2Sinéad O'Connor's death not treated as suspicious3Canada approves historic C$23bn child welfare deal4Kyiv claims success as southern fighting intensifies5Girl missing for nearly four years turns up safe6Tick bites causing surge in meat allergy, US warns7If you can't stand the heat, get a heat officer8Kylie Minogue announces Las Vegas residency9Irish singer Sinéad O'Connor dies aged 5610You've got Mali: MoD accidentally emails Russian allyBBC 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. The BBC is not responsible for the content of external sites. Read about our approach to external linking.
|
Netflix touts $900k AI jobs amid Hollywood strikes
|
Netflix touts 900k AI jobs amid Hollywood strikes BBC NewsBBC HomeSkip contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menu BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar UkraineClimateVideoWorldUS CanadaUKBusinessTechScienceMoreEntertainment ArtsHealthIn PicturesBBC VerifyWorld News TVNewsbeatUS CanadaNetflix touts 900k AI jobs amid Hollywood strikesPublished26 minutes agoShareclose panelShare Copy linkAbout sharingRelated TopicsSAG strike 2023Image source, Getty ImagesBy Max MatzaBBC NewsNetflix triggered angry response striking Hollywood actors writers posting job advert artificial intelligence AI expert. The new position join Machine Learning Platform team, drives Netflix algorithm helping viewers pick new programmes watch. It pays 900,000 700,000 year, fuelling outrage.Hollywood unions striking concerns AI affects entertainment industry pay. The job listing, reported The Intercept Tuesday, listed Netflix job calls applicants experience machine learning ML AI. It unclear expansive job advert role include advising content TV programmes films Netflix chooses invest in.Another open listing product manager Machine Learning Platform team says future employee collect feedback understand user needs ultimately helping investment decisions.The description appears suggest role include AI assess funding needs different programmes. This key concern union representing actors, SagAftra, spoken fears algorithms power.SagAftras Fran Drescher told Time magazine singular success film television programme important broadcast television dominant.Algorithms dictate episodes season needs reach plateau new subscribers seasons series needs on, claimed. That reduces episodes season 10, reduces seasons four. You live that. Were systematically squeezed livelihood business model foisted us, created myriad problems ladder.The writers guild, WGA, proposed regulates use AI writing process prevents source material.Netflix declined comment job listings, previously said AI replace creative process.The best stories original, insightful come peoples experiences, Netflix said.Hollywood writers fear losing work AIThe Black Mirror plot AI worries actorsThe news recent AIbased job listing condemned striking actors, earn 26,470 eligible health insurance benefits.So 900kyr soldier godless AI army earnings qualify thirtyfive actors families SagAftra health insurance ghoulish, actor Rob Delaney, told The Intercept.Javier GrilloMarxuach, best known series Lost, accused Netflix pleading poverty recruiting VERY Ive year BY FAR wellpaid generals soulless army silicon plagiarists.Earlier week, Netflix announced launch new app My Netflix company calls onestop shop tailored easy shortcuts help choose want watch.This video playedTo play video need enable JavaScript browser.Media caption, Watch: Brian Cox: I concerned artificial intelligenceRelated TopicsTelevisionSAG strike 2023Artificial intelligenceUnited StatesHollywoodStrike actionMore storyHollywood writers fear losing work AIPublished21 hours agoThe Black Mirror plot AI worries actorsPublished14 JulyTop StoriesTrump accused asking employee delete footagePublished3 hours agoJuly set worlds warmest month recordPublished8 hours agoNiger coup supporters set ruling party HQPublished3 hours agoFeaturesFalse claims bogus heatwave spread onlineWeekly quiz: How Barbie broken bigscreen records?A daughters quest mothers remainsThe Steel Roses Chinese football outkicking menTunisia fires: We water douse flamesWater, oceans: Africas shotsThe UFO reports interesting NasaNiger coup makes troubled region fragileThe worlds hottest month explained... 60 seconds. VideoThe worlds hottest month explained... 60 secondsElsewhere BBCThe ancient Chinese way cool homesWhy brands leaving social mediaThe film divided USMost Read1Trump accused asking employee delete footage2Sinad OConnors death treated suspicious3Canada approves historic C23bn child welfare deal4Kyiv claims success southern fighting intensifies5Girl missing nearly years turns safe6Tick bites causing surge meat allergy, US warns7If stand heat, heat officer8Kylie Minogue announces Las Vegas residency9Irish singer Sinad OConnor dies aged 5610Youve got Mali: MoD accidentally emails Russian allyBBC 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.
| 2,023 |
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] | 1 | 5,208 |
https://www.bbc.com/news/science-environment-66847977
| 2023-09-19T00:00:00 |
en
|
Google DeepMind AI speeds up search for disease genes - BBC News
|
Google DeepMind AI speeds up search for disease genes - BBC NewsBBC HomepageSkip to contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menuSearch BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar in UkraineClimateVideoWorldUS & CanadaUKBusinessTechScienceMoreEntertainment & ArtsHealthIn PicturesBBC VerifyWorld News TVNewsbeatScienceGoogle DeepMind AI speeds up search for disease genesPublished1 hour agocommentsCommentsShareclose panelShare pageCopy linkAbout sharingImage source, Google DeepMIndImage caption, Researchers at Google DeepMind have trained their AI system to identify potentially disease causing genesBy Pallab GhoshScience correspondentGoogle's AI firm DeepMind has used artificial intelligence to identify changes in human DNA that might cause diseases.The researchers believe they have pinpointed 89% of all the key mutations.The development is expected to speed up diagnosis and help in the search for better treatments.A leading independent scientist told BBC News that the work was "a big step forward".Prof Ewan Birney, deputy director general of the European Molecular Biology Laboratory, said: "It will help clinical researchers prioritise where to look to find areas that could cause disease."The technique works by checking the order of the components in human DNA strands.All living organisms are built from DNA. It is made from four blocks of chemicals called adenine (A), cytosine (C), guanine (G) and thymine (T). In humans, when an embryo is developing, the order of these letters are read to produce proteins, which are the building blocks of the the cells and tissues that make up various parts of the body.But if the letters are in the wrong order - perhaps because of an inherited disorder - the body cells and tissues aren't made properly - and this can lead to disease.Last year Google DeepMind's AI worked out the shape of nearly all proteins in the human body. The new system, called AlphaMissense, can tell If the letters in the DNA will produce the correct shape. If not, it is listed as potentially disease-causing.Image source, BBC NewsCurrently genetic disease hunters have fairly limited limited knowledge of which areas of human DNA can lead to disease. They have classified 0.1% of letter changes, or mutations, as either benign or disease causing.Google DeepMind's Pushmeet Kohli said that the new model pushed that percentage up to 89%.Currently, researchers have to search for potentially disease-causing regions across billions of chemical building blocks that make up DNA. That has now changed, according to Mr Kohli.''Researchers can now focus their efforts on the new areas, that they were not aware of and we have highlighted as potentially disease-causing,'' he said. The new tool - published in the journal Science - has been tested by Genomics England, who work with the NHS. According to Dr Ellen Thomas, who is the deputy chief medical officer at Genomics England, the health service will be among the first organisations to benefit from the new development. "The new tool is really bringing a new perspective to the data. It will help clinical scientists make sense of genetic data so that it is useful for patients and for their clinical teams," she said.Prof Birney said he expected AI to become a massive part of molecular biology and life sciences."I don't know where it's going to end but it's changing nearly everything we do at the moment," he said.Follow Pallab on X, formally known as TwitterRelated TopicsArtificial intelligenceBiologyView commentsTop StoriesLive. Biden urges UN leaders to stand together against RussiaLive. Canada's Trudeau denies trying to provoke India over Sikh murderTrump backlash spotlights an abortion balancing actPublished14 hours agoFeaturesAnger in India as Trudeau points finger over murderWhy unity is thin on the ground as UN meets in New YorkAn unsolved murder in Canada fuels rifts with IndiaRussell Brand gives a sobering reminder of the noughtiesTrump backlash spotlights an abortion balancing actUS plans to monitor $6bn to Iran. Experts are scepticalHow important are India's Moon mission findings?The turbo-charged plants that could boost farm outputWhy do we name scary things?Elsewhere on the BBCThe 'most British of French resorts'How expensive is Burning Man?Miyazaki's 'last' film is a masterpieceMost Read1Anger in India as Trudeau points finger over murder2Trump backlash spotlights an abortion balancing act3Azerbaijan launches operation against Karabakh4Katy Perry sells music rights for reported $225m5Why are some Sikhs calling for a separate state?6Debris found from F-35 jet after US pilot ejected7YouTube suspends Russell Brand from advert income8Russell Brand gives a sobering reminder of the noughties9Americans freed in Iran prisoner swap land in US10Fans chase team bus as Ronaldomania hits TehranBBC 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. The BBC is not responsible for the content of external sites. Read about our approach to external linking.
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Google DeepMind AI speeds up search for disease genes
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Google DeepMind AI speeds search disease genes BBC NewsBBC HomeSkip contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menu BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar UkraineClimateVideoWorldUS CanadaUKBusinessTechScienceMoreEntertainment ArtsHealthIn PicturesBBC VerifyWorld News TVNewsbeatScienceGoogle DeepMind AI speeds search disease genesPublished1 hour agocommentsCommentsShareclose panelShare Copy linkAbout sharingImage source, Google DeepMIndImage caption, Researchers Google DeepMind trained AI identify potentially disease causing genesBy Pallab GhoshScience correspondentGoogles AI firm DeepMind artificial intelligence identify changes human DNA cause diseases.The researchers believe pinpointed 89 key mutations.The development expected speed diagnosis help search better treatments.A leading independent scientist told BBC News work big step forward.Prof Ewan Birney, deputy director general European Molecular Biology Laboratory, said: It help clinical researchers prioritise look areas cause disease.The technique works checking order components human DNA strands.All living organisms built DNA. It blocks chemicals called adenine A, cytosine C, guanine G thymine T. In humans, embryo developing, order letters read produce proteins, building blocks cells tissues parts body.But letters wrong order inherited disorder body cells tissues arent properly lead disease.Last year Google DeepMinds AI worked shape nearly proteins human body. The new system, called AlphaMissense, tell If letters DNA produce correct shape. If not, listed potentially diseasecausing.Image source, BBC NewsCurrently genetic disease hunters fairly limited limited knowledge areas human DNA lead disease. They classified 0.1 letter changes, mutations, benign disease causing.Google DeepMinds Pushmeet Kohli said new model pushed percentage 89.Currently, researchers search potentially diseasecausing regions billions chemical building blocks DNA. That changed, according Mr Kohli.Researchers focus efforts new areas, aware highlighted potentially diseasecausing, said. The new tool published journal Science tested Genomics England, work NHS. According Dr Ellen Thomas, deputy chief medical officer Genomics England, health service organisations benefit new development. The new tool bringing new perspective data. It help clinical scientists sense genetic data useful patients clinical teams, said.Prof Birney said expected AI massive molecular biology life sciences.I dont know going end changing nearly moment, said.Follow Pallab X, formally known TwitterRelated TopicsArtificial intelligenceBiologyView commentsTop StoriesLive.Biden urges UN leaders stand RussiaLive.Canadas Trudeau denies trying provoke India Sikh murderTrump backlash spotlights abortion balancing actPublished14 hours agoFeaturesAnger India Trudeau points finger murderWhy unity ground UN meets New YorkAn unsolved murder Canada fuels rifts IndiaRussell Brand gives sobering reminder noughtiesTrump backlash spotlights abortion balancing actUS plans monitor 6bn Iran. Experts scepticalHow important Indias Moon mission findings?The turbocharged plants boost farm outputWhy scary things?Elsewhere BBCThe British French resortsHow expensive Burning Man?Miyazakis film masterpieceMost Read1Anger India Trudeau points finger murder2Trump backlash spotlights abortion balancing act3Azerbaijan launches operation Karabakh4Katy Perry sells music rights reported 225m5Why Sikhs calling separate state?6Debris F35 jet US pilot ejected7YouTube suspends Russell Brand advert income8Russell Brand gives sobering reminder noughties9Americans freed Iran prisoner swap land US10Fans chase team bus Ronaldomania hits TehranBBC 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.
| 2,023 |
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https://www.bccourier.com/computer-vision-software-covid-19-updated-market-2020-26-by-major-players-aws-opencv-google-clarifai-ximilar-hive-ibm/
| 2020-07-01T00:00:00 |
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Computer Vision Software (COVID-19 Updated) Market 2020-26 by Major Players AWS, OpenCV, Google, Clarifai, Ximilar, Hive, IBM – Bandera County Courier
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Computer Vision Software (COVID-19 Updated) Market 2020-26 by Major Players AWS, OpenCV, Google, Clarifai, Ximilar, Hive, IBM – Bandera County Courier
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Computer Vision Software (COVID-19 Updated) Market 2020-26 by Major Players AWS, OpenCV, Google, Clarifai, Ximilar, Hive, IBM
Computer Vision Software Market
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June 30, 2020
Hotel Guest Feedback and Surveying Software Market
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Computer Vision Software COVID19 Updated Market 202026 Major Players AWS, OpenCV, Google, Clarifai, Ximilar, Hive, IBM Bandera County Courier Wednesday, July 1 2020 Trending Global Gear Unit Gear Pinion Market Outlook 20202026 Ningbo Zhenhai, Hongsheng, Jiangyin Liaoyuan Global Gear Unit Shaft Market Outlook 20202026 Tianjin Xin Lian, Jiangsu Chixiang, Zhongli Gear, Ningbo Zhenhai Global Gear Unit Gear Market Outlook 20202026 Ningbo Zhenhai, Hongsheng, Jiangyin Liaoyuan, Nangong Global Gear Unit Pinion Market Outlook 20202026 Welter, Changzhou TLinder, Jiangsu Chixiang, Zhongli Gear Global Gear Unit Casting Accessories Market Outlook 20202026 Henan Golden Sun, Tianjin HTC, Shandong Kaitai Global Low Voltage Motor Casting Accessories Market Outlook 20202026 Pingyao Yaoxiang, Shanxi Huiyu, Nanjing Nuoruite Global Low Voltage Motor Frame Casting Market Outlook 20202026 Pingyao Huaxing, Pingyao Shengda, Shandong Yuantong, Tengsheng Casting Global Low Voltage Motor Bracket Casting Market Outlook 20202026 Pingyao Shengda, Shandong Yuantong, Tengsheng Casting Global Low Voltage Motor Ball Bearing Market Outlook 20202026 ZWZ, NSK, FAG, SKF, TPI, NTN Global Low Voltage Motor Stator Rotor Market Outlook 20202026 Wuxi Baoda, Rongcheng Hengxin, Jiangsu Tongda, Changzhou Shenli Bandera County Courier Business Health Science Technology World HomeBusinessComputer Vision Software COVID19 Updated Market 202026 Major Players AWS, OpenCV, Google, Clarifai, Ximilar, Hive, IBM Business Computer Vision Software COVID19 Updated Market 202026 Major Players AWS, OpenCV, Google, Clarifai, Ximilar, Hive, IBM Computer Vision Software Market pratik June 30, 2020 Hotel Guest Feedback Surveying Software Market The Global Computer Vision Software Market research report 20202026 elementary professional detailing essential elements driving Computer Vision Software market growth rate revenue statistic specific industry. 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https://www.beckersasc.com/leadership/imagining-health-data-in-the-future-with-claude-pirtle-of-west-tennessee-healthcare.html
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Imagining health data in the future with Claude Pirtle of West Tennessee Healthcare
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Imagining health data in the future with Claude Pirtle of West Tennessee Healthcare
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Imagining health data in the future with Claude Pirtle of West Tennessee Healthcare
Mariah Muhammad -
Tuesday, June 14th, 2022
Dive into Dr. Pirtle's excitement about data-sharing frameworks and the consumer-centric ecosystem.
Claude Pirtle, MD, serves as the vice president, chief medical information officer and assistant chief medical officer at the West Tennessee Healthcare Jackson-Madison County General Hospital.
Dr. Pirtle will serve on the panel "Innovative Ways EHRs Can Improve Diagnostics and Care" at Becker's 7th Annual Health IT + Revenue Cycle Conference. As part of an ongoing series, Becker's is talking to healthcare leaders who plan to speak at the conference, which will take place Oct. 4-7 in Chicago.
To learn more and register, click here.
Question: What are you most excited about right now?
Dr. Claude Pirtle: I am most excited about how hospitals, clinics, industry and consumers will use health data in the future. Healthcare continues to move toward a consumer-centric ecosystem, allowing continued improvements in the quality of care provided. As data-sharing frameworks become more robust and integrated, we will continue empowering the consumer and shifting the paradigm from reactive healthcare to a more wholesome proactive approach. I am excited to be a part of this brilliant journey.Copyright © 2022 Becker's Healthcare. All Rights Reserved. Privacy Policy. Cookie Policy. Linking and Reprinting Policy.
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Imagining health data future Claude Pirtle West Tennessee Healthcare Beckers Healthcare: Hospital ASC Spine Clinical Health IT CFO Dental Payer Podcasts Behavioral Careers 1.800.417.2035 Email Us Channels Channels ASC NewsTransactions ValuationAnesthesiaGI EndoscopyCoding, Billing, CollectionsAccreditation QualityLeadershipOpioids Other Channels Other Channels Beckers Healthcare Websites Beckers Healthcare Websites Hospital ASC Spine Clinical Health IT CFO Dental DSO Payer Podcasts Behavioral Health ENewslettersENewslettersASC ReviewClinical Leadership Infection ControlOrthopedic ReviewGI EndoscopySpine ReviewVirtual ConferencesVirtual ConferencesUpcoming Virtual EventsLaboratory Virtual ForumSupply Chain Leadership Virtual ForumOncology Virtual SummitHR Talent Virtual SummitWorking With DSOs Private Equity Virtual EventPayer Virtual EventPast Virtual EventsConferencesConferencesConferences EventsCall SpeakersExhibiting SponsoringWebinarsWebinarsUpcoming WebinarsPast WebinarsWhitepapersWhitepapersCurrent WhitepapersArchivesPodcastsPrint IssuesPrint IssuesCurrent IssuePast IssuesMultimediaMultimediaASC Speaker SeriesVideosRoundtablesListsLists530 ASCs total joint replacements 2021525 ASCs total joint replacements 2021100 minimally invasive orthopedic products know 202138 foot ankle surgeons know 202065 total knee replacement surgeons know 2020NominationsAbout Beckers ASC ReviewCareers Beckers Us Most Read Most Read Hospital challenging 12.5M South Carolina ASC How 1 neurosurgeon handling insurance denials Average anesthesia salary state 2022 Physician guilty 12M Tricare fraud scheme ASCs biggest challenges execs solving New ASCs 4 best states physicians practice 10 total joint ASC physicians know Meet leaders 5 gastroenterology megagroups Baylor Scott White opening new ASC Dallas area Anthem headlines: 6 updates 60 days Top 40 Articles Top 40 Articles 10 lowestpaid physician specialties 2021 Pennsylvania physician gets 20 years prison, 4M fine pill 10 worst cities physician pay 2021 Tennessee physician permanently barred prescribing schedule II III drugs 12 physicians sentenced prison 250M billing fraud Indiana physician fired objecting EMR time goals, lawsuit claims 10 best cities physician pay 2021 American College Surgeons speaks 2 surgeons killed mass shooting outpatient surgery center building Insurer millions unpaid claims Bad news Optum 2 Texas physicians indicted 300M kickback scheme What 9 physician billionaires common? Theyre selfmade Pennsylvania ophthalmologist dies car crash Duke sued force employment 400 physician members private practice 9 physician billionaires Forbes 2022 list UnitedHealth policies drive physicians Optum, lawsuit claims Blue Cross Blue Shield changes colonoscopy policy patient complains Physicians biggest enemy providing patient care 10 best med schools anesthesiology 2023, US News Ohio physician charged 8.4M Medicare fraud Whats driving generation physicians private practice? Physician vs. healthcare CEO pay: 5 notes 10 worst states physicians HCA Healthcare faces suit alleging orthopedic surgery monopoly 400physician practice votes join Duke Health suit alleging takeover Indiana court rules injured patient sue physician group USPI vs. SCA vs. Surgery Partners: How big 3 stack 10 highestpaid physician specialties The overpaid medical group CEO Former North Carolina physician sentenced 78 months pill What happens physicians sell practices The dilemma private practice physicians Why insurers, health systems breaking 20 biggest healthcare companies revenue Toppaid balloon sinuplasty physician indicted fraud scheme: 3 details Physician falls 4th spot best healthcare job Ophthalmologist gets 8 years prison surgical billing scheme COVID19 fraud Exphysician, ASC company guilty 355M fraud scheme Top 10 orthopedic surgery residency programs 10 lowest paying states physician assistants ENewslettersASC ReviewClinical Leadership Infection ControlOrthopedic ReviewGI EndoscopySpine ReviewVirtual ConferencesUpcoming Virtual EventsLaboratory Virtual ForumSupply Chain Leadership Virtual ForumOncology Virtual SummitHR Talent Virtual SummitWorking With DSOs Private Equity Virtual EventPayer Virtual EventPast Virtual EventsConferencesConferences EventsCall SpeakersExhibiting SponsoringWebinarsUpcoming WebinarsPast WebinarsWhitepapersCurrent WhitepapersArchivesPodcastsPrint IssuesCurrent IssuePast IssuesMultimediaASC Speaker SeriesVideosRoundtablesLists530 ASCs total joint replacements 2021525 ASCs total joint replacements 2021100 minimally invasive orthopedic products know 202138 foot ankle surgeons know 202065 total knee replacement surgeons know 2020NominationsAbout Beckers ASC ReviewCareers Beckers UsRequest Media KitASC NewsTransactions ValuationAnesthesiaGI EndoscopyCoding, Billing, CollectionsAccreditation QualityLeadershipOpioidsNew ASC DevelopmentTotal Joint ReplacementsOutpatient SpinePrivate EquitySupply ChainOphthalmologyCardiology Imagining health data future Claude Pirtle West Tennessee Healthcare Mariah Muhammad Tuesday, June 14th, 2022 Dive Dr. Pirtles excitement datasharing frameworks consumercentric ecosystem. Claude Pirtle, MD, serves vice president, chief medical information officer assistant chief medical officer West Tennessee Healthcare JacksonMadison County General Hospital. Dr. Pirtle serve panel Innovative Ways EHRs Can Improve Diagnostics Care Beckers 7th Annual Health IT Revenue Cycle Conference. As ongoing series, Beckers talking healthcare leaders plan speak conference, place Oct. 47 Chicago. To learn register, click here. Question: What excited right now? Dr. Claude Pirtle: I excited hospitals, clinics, industry consumers use health data future. Healthcare continues consumercentric ecosystem, allowing continued improvements quality care provided. As datasharing frameworks robust integrated, continue empowering consumer shifting paradigm reactive healthcare wholesome proactive approach. I excited brilliant journey. copy 2022 Beckers Healthcare. . . Policy. Linking Reprinting Policy. 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| 2,022 |
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] | 1 | 5,211 |
https://www.benzinga.com/markets/cannabis/23/02/30904174/vr-for-real-time-marijuana-impairment-testing-gaize-launches-its-ai-powered-device-for-cannabis-
| 2023-02-14T00:00:00 |
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VR For Real-Time Marijuana Impairment Testing? Gaize Launches Its AI Powered Device For Cannabis And Other Drugs - Benzinga
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VR For Real-Time Marijuana Impairment Testing? Gaize Launches Its AI Powered Device For Cannabis And Other Drugs - BenzingaEspañolIndiaItalianoFrançaisMy AccountMy AccountNotificationsOverview+ New WatchlistBenzinga PlusBenzinga ProLog In––%––%––%––%––%––%Data & APIsEventsMarketfyPremarketBoostContributeEspañolIndiaItalianoFrançaisSign inOur Services News EarningsGuidanceDividendsM&ABuybacksLegalInterviewsManagementOfferingsIPOsInsider TradesBiotech/FDAFreightPoliticsGovernmentHealthcareMarkets Pre-MarketAfter HoursMoversETFsForexCannabisCommoditiesOptionsBinary OptionsBondsFuturesCME GroupGlobal EconomicsPreviewsSmall-CapCryptocurrencyPenny StocksDigital SecuritiesRatings 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 WatchYouTubePodcastsInvest in ArtPremiumMy 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––%––%––%––%––%––%VR For Real-Time Marijuana Impairment Testing? Gaize Launches Its AI Powered Device For Cannabis And Other Drugsby Vuk Zdinjak, Benzinga Staff WriterFebruary 14, 2023 11:22 AM | 2 min read Gaize launched their real-time impairment screening device. The product is a first-of-its-kind fully automated, non-invasive and portable eye movement test. It combines well-established Drug Recognition Expert (DRE) eye examinations with the latest in artificial intelligence. Drug Recognition Expert eye tests are widely considered the gold standard for impairment detection, with 40+ years of successful use, many scientific studies on their effectiveness, and court acceptance in all 50 states.Gaize runs these same tests, exactly according to the DRE training manual, using a VR headset with embedded eye tracking sensors. The resulting data is then analyzed by machine learning models to discover involuntary eye movement changes which are correlated with impairment. This product launch comes following a recently completed clinical trial using the Gaize product, which was the largest in the world to ever investigate cannabis impairment.Ken Fichtler, Gaize founder and CEO stated: “I created Gaize to solve the problem of cannabis impaired drivers and workers. THC behaves markedly differently in the body than does alcohol, and it can linger in the body for over a month since the last use. No amount of THC in the body has never been shown to produce a predictable level of impairment, so simply measuring THC is not indicative of impairment. Particularly in places where cannabis is legal, what we really care about is whether or not someone is impaired, not if they’ve used cannabis previously.”The results of the test are easy to interpret and each test is also backed by video evidence of the eye movement. From this, Gaize customers can easily and confidently make defensible decisions. Results are delivered in just 6 minutes from the time the test is started, enabling much more frequent impairment screening.Benzinga's Cannabis Capital Conference Is BackThe most successful cannabis business event in the world, the Benzinga Cannabis Capital Conference, returns to Miami for its 16th edition. This is the place where DEALS GET DONE, where money is raised, M&A starts, and companies meet investors and key partners. Join us at the Fontainebleau Miami Beach Hotel in Florida on April 11-12. Don’t miss out. Secure your tickets now. Prices will surge very soon.
Photo: Courtesy of Gaize© 2023 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.Posted In: GaizeKen FichtlerCannabisNewsMarkets
BENZINGA CANNABIS CONFERENCEMeet the biggest cannabis industry players and make deals that will push the industry forward.Featuring live company presentations, insider panels, and unmatched access to networking, the Benzinga Cannabis Capital Conference is where cannabis executives and entrepreneurs meet.Join us April 11-12, 2023 at Fontainebleau Miami Beach in sunny Florida.Popular ChannelsPreMarket PrepPress ReleasesAnalyst RatingsNewsOptionsETFsTools & FeaturesReal Time FeedPublic RSS FeedsSubmit News TipsBlogNews WidgetBenzinga 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
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VR For Real-Time Marijuana Impairment Testing? Gaize Launches Its AI Powered Device For Cannabis And Other Drugs
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VR For RealTime Marijuana Impairment Testing? Gaize Launches Its AI Powered Device For Cannabis And Other Drugs BenzingaEspaolIndiaItalianoFranaisMy AccountMy AccountNotificationsOverview New WatchlistBenzinga PlusBenzinga ProLog InData APIsEventsMarketfyPremarketBoostContributeEspaolIndiaItalianoFranaisSign inOur Services News EarningsGuidanceDividendsMABuybacksLegalInterviewsManagementOfferingsIPOsInsider TradesBiotechFDAFreightPoliticsGovernmentHealthcareMarkets PreMarketAfter HoursMoversETFsForexCannabisCommoditiesOptionsBinary OptionsBondsFuturesCME GroupGlobal EconomicsPreviewsSmallCapCryptocurrencyPenny StocksDigital SecuritiesRatings 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 WatchYouTubePodcastsInvest ArtPremiumMy 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 CalculatorVR For RealTime Marijuana Impairment Testing? Gaize Launches Its AI Powered Device For Cannabis And Other Drugsby Vuk Zdinjak, Benzinga Staff WriterFebruary 14, 2023 11:22 AM 2 min read Gaize launched realtime impairment screening device. The product firstofitskind fully automated, noninvasive portable eye movement test. It combines wellestablished Drug Recognition Expert DRE eye examinations latest artificial intelligence. Drug Recognition Expert eye tests widely considered gold standard impairment detection, 40 years successful use, scientific studies effectiveness, court acceptance 50 states.Gaize runs tests, exactly according DRE training manual, VR headset embedded eye tracking sensors. The resulting data analyzed machine learning models discover involuntary eye movement changes correlated impairment. This product launch comes following recently completed clinical trial Gaize product, largest world investigate cannabis impairment.Ken Fichtler, Gaize founder CEO stated: I created Gaize solve problem cannabis impaired drivers workers. THC behaves markedly differently body alcohol, linger body month use. No THC body shown produce predictable level impairment, simply measuring THC indicative impairment. Particularly places cannabis legal, care impaired, theyve cannabis previously.The results test easy interpret test backed video evidence eye movement. From this, Gaize customers easily confidently defensible decisions. Results delivered 6 minutes time test started, enabling frequent impairment screening.Benzingas Cannabis Capital Conference Is BackThe successful cannabis business event world, Benzinga Cannabis Capital Conference, returns Miami 16th edition. This place DEALS GET DONE, money raised, MA starts, companies meet investors key partners. Join Fontainebleau Miami Beach Hotel Florida April 1112. Dont miss out. Secure tickets now. Prices surge soon. Photo: Courtesy Gaize 2023 . Benzinga provide investment advice. .Posted In: GaizeKen FichtlerCannabisNewsMarkets BENZINGA CANNABIS CONFERENCEMeet biggest cannabis industry players deals push industry forward.Featuring live company presentations, insider panels, unmatched access networking, Benzinga Cannabis Capital Conference cannabis executives entrepreneurs meet.Join April 1112, 2023 Fontainebleau Miami Beach sunny Florida.Popular ChannelsPreMarket PrepPress ReleasesAnalyst RatingsNewsOptionsETFsTools FeaturesReal Time FeedPublic RSS FeedsSubmit News TipsBlogNews WidgetBenzinga 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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https://www.benzinga.com/news/21/08/22741149/nvidia-aims-to-beat-amazon-alphabet-with-new-ai-speech-technology?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+benzinga+%28Benzinga+News+Feed%29
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NVIDIA Corporation (NASDAQ:NVDA), Amazon.com, Inc. (NASDAQ:AMZN) - Nvidia Aims To Beat Amazon, Alphabet With New AI Speech Technology | Benzinga
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NVIDIA Corporation (NASDAQ:NVDA), Amazon.com, Inc. (NASDAQ:AMZN) - Nvidia Aims To Beat Amazon, Alphabet With New AI Speech Technology | Benzinga
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Nvidia Aims To Beat Amazon, Alphabet With New AI Speech Technology
Anusuya Lahiri , Benzinga Staff Writer
{{following ? "Following" : "Follow"}}
August 31, 2021 5:11pm
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NVIDIA Corp (NASDAQ: NVDA) has launched new research and tools to capture natural speech qualities by letting one train the AI system with one's voice, TechCrunch reports based on the Interspeech 2021 Conference.
The features could give Amazon’.com Inc's (NASDAQ: AMZN) Alexa, Alphabet Inc's (NASDAQ: GOOG) (NASDAQ: GOOGL) Google Assistant, and other AI assistants a run for their money.
NVIDIA's text-to-speech research team has developed a RAD-TTS model that allows training a text-to-speech model with their voice, including the pacing, tonality, timbre, and more. RAD-TTS' voice conversion feature lets a user deliver one speaker's words using another person's voice.
NVIDIA will distribute some of this optimized research running efficiently on NVIDIA GPUs. Developers can fine-tune any model for their use cases, speeding up training using mixed-precision computing on NVIDIA Tensor Core GPUs.
Price Action: NVDA shares closed lower by 1.32% at $223.85 on the last check Tuesday.
© 2021 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.
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NVIDIA Corporation (NASDAQ:NVDA), Amazon.com, Inc. (NASDAQ:AMZN)
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NVIDIA Corporation NASDAQ:NVDA, , . NASDAQ:AMZN Nvidia Aims To Beat Amazon, Alphabet With New AI Speech Technology Benzinga Skip main content Data APIs Events Marketfy Premarket Prep Contribute Join NewsEarnings Guidance Dividends MA Buybacks Legal Interviews Management Retail Sales Offerings IPOs Insider Trades BiotechFDA Freight Tech MarketsPreMarket After Hours Movers ETFs Forex Cannabis Commodities Options Binary Options Bonds Futures Global Economics Previews Reviews SmallCap Cryptocurrency Penny Stocks RatingsAnalyst Color Downgrades Upgrades Initiations Price Target IdeasCatalyst Long Ideas Short Ideas Technicals From The Press Jim Cramer Rumors Best Penny Stocks Best Blue Chip Stocks Best HighVolume Penny Stocks Best SP 500 ETFs Best Small Cap ETFs Best Swing Trade Stocks Fintech Personal FinanceStock Brokers Forex Brokers Personal Finance Futures Brokers Cryptocurrency Brokers Webull Binary Option Brokers Options Brokers eToro Altcoin Exchanges Ally Invest Review Binary Options Review eOption Review Etrade Review Interactive Brokers Review Personal Capital Review Suretrader Review TD Ameritrade Review Tradestation Review YewnoEdge Review Cobra Trading Review ETF Brokers Mutual Fund Brokers Index Fund Brokers Bond Brokers Short Selling Brokers Stock Apps Penny Stocks Stocks Under 5 Stocks Under 10 Stocks Under 20 Stocks Under 50 Stocks Under 100 Invest Art Invest Land Invest Real Estate Invest Wine Invest Gold Auto Home Medicare Life Vision Dental Business Pet Health Masterworks Review Motorcycle Renters Workers Comp Refinance Purchase Find Mortgage Broker CryptoCrypto News Bitcoin Ethereum Blockchain Best Alt Coins How buy Crypto TVYouTube Video Podcasts ToolsEarnings Calendar IPO Calendar Guidance Calendar FDA Calendar Dividend Calendar Stock Split Calendar Conference Call Calendar Economic Calendar Insider Trades Trade Idea Feed Analyst Ratings Unusual Options Activity Premium Market Overview Tickers, Articles Keywords: TickersArticlesKeywords keyword...googlecse Nvidia Aims To Beat Amazon, Alphabet With New AI Speech Technology Anusuya Lahiri , Benzinga Staff Writer following ? Following : Follow August 31, 2021 5:11pm 161 Comments Share: NVIDIA CorpNASDAQ: NVDA launched new research tools capture natural speech qualities letting train AI ones voice,TechCrunch reportsbased theInterspeech 2021 Conference. The features giveAmazon.com sNASDAQ: AMZN Alexa,Alphabet sNASDAQ: GOOG NASDAQ: GOOGL Google Assistant, AI assistants run money. NVIDIAs texttospeech research team developed RADTTS model allows training texttospeech model voice, including pacing, tonality, timbre, more. RADTTS voice conversion feature lets user deliver speakers words persons voice. NVIDIA distribute optimized research running efficiently NVIDIA GPUs. Developers finetune model use cases, speeding training mixedprecision computing NVIDIA Tensor Core GPUs. Price Action:NVDA shares closed lower 1.32 223.85 check Tuesday. 2021 . Benzinga provide investment advice. . Related Articles NVDA This Department Store Has A Better 1Year Return Than AMD, Nvidia, Disney Microsoft Lucky Seven? Market On Pace For Another Winning Month As August Winds Down This Weeks Earnings Report Root, Alibaba, GameStop, Tesla And More Stocks Buzzing WallStreetBets Heading Into New Week Why Teslas Elon Musk Is Reportedly Opposing Nvidias Proposed Arm Buy How Is Nvidia Trying To Win The Arm Deal? View Comments Join Discussion View discussion thread. PostedIn: BriefsNews Tech Media Need newswire data? Click licensing options. Dont Miss Any Updates News Directly Your Inbox to: Benzinga Premarket Activity Benzinga Premarket Activity Get premarket outlook, midday update aftermarket roundup emails inbox. Market 5 Minutes Market 5 Minutes Everything need know market quick easy. Fintech Focus Fintech Focus A daily collection things fintech, interesting developments market updates. SPAC Everything need know latest SPAC news. 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] | 1 | 5,213 |
https://www.benzinga.com/news/21/10/23375138/veritone-shares-pop-on-becoming-us-sole-doj-approved-multi-cloud-ai-platform-provider
| 2021-10-14T00:00:00 |
en
|
(VERI), Amazon.com, Inc. (NASDAQ:AMZN) - Veritone Shares Pop On Becoming US' Sole DOJ Approved Multi Cloud AI Platform Provider | Benzinga
|
(VERI), Amazon.com, Inc. (NASDAQ:AMZN) - Veritone Shares Pop On Becoming US' Sole DOJ Approved Multi Cloud AI Platform Provider | Benzinga
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Veritone Shares Pop On Becoming US' Sole DOJ Approved Multi Cloud AI Platform Provider
Anusuya Lahiri , Benzinga Staff Writer
{{following ? "Following" : "Follow"}}
October 14, 2021 9:45am
223
Comments
Share:
Veritone Inc (NASDAQ: VERI) expanded the availability of the aiWARE Government for all components of the U.S. Department of Justice (DOJ).
Initially sponsored by the Executive Office for U.S. Attorneys (EOUSA) within the DOJ, Veritone has obtained an expanded, enterprise-wide Authority to Operate (ATO) from the FedRAMP authorization board for its aiWARE Government platform.
Veritone aiWARE Government became the first DOJ-wide AI platform approved and available on Microsoft Corp (NASDAQ: MSFT) Azure Government and Amazon.com Inc (NASDAQ: AMZN) AWS GovCloud environments, uniquely providing all 59 DOJ agencies the flexibility they require to meet their AI-based missions.
"Veritone aiWARE can ingest, give structure to, analyze, discover, transcribe and translate data thousands of times faster, more accurately, and at a significantly lower cost than manual labor alternatives," Veritone head Jon Gacek said.
"Without Veritone's underlying aiWARE operating systems for A.I. and its readily available applications benefitting from Azure's infinite compute capabilities, both U.S. government and public safety customers alike would be relegated to building bespoke applications from the ground up -- something that takes a lot of time, money, and support," Microsoft CTO Jason Payne said.
Price Action: VERI shares traded higher by 3.48% at $24.11 in the market session on the last check Thursday.
© 2021 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.
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VERI, , . NASDAQ:AMZN Veritone Shares Pop On Becoming US Sole DOJ Approved Multi Cloud AI Platform Provider Benzinga Skip main content Data APIs Events Marketfy Premarket Prep Contribute Join NewsEarnings Guidance Dividends MA Buybacks Legal Interviews Management Retail Sales Offerings IPOs Insider Trades BiotechFDA Freight Tech MarketsPreMarket After Hours Movers ETFs Forex Cannabis Commodities Options Binary Options Bonds Futures CME Group Global Economics Previews Reviews SmallCap Cryptocurrency Penny Stocks RatingsAnalyst Color Downgrades Upgrades Initiations Price Target IdeasLong Ideas Short Ideas Technicals From The Press Jim Cramer Rumors Best Penny Stocks Best Blue Chip Stocks Best HighVolume Penny Stocks Best SP 500 ETFs Best Small Cap ETFs Best Swing Trade Stocks Fintech Personal FinanceStock Brokers Forex Brokers Personal Finance Futures Brokers Cryptocurrency Brokers Webull Binary Option Brokers Options Brokers eToro Altcoin Exchanges Ally Invest Review Binary Options Review eOption Review Etrade Review Interactive Brokers Review Personal Capital Review Suretrader Review TD Ameritrade Review Tradestation Review YewnoEdge Review Cobra Trading Review ETF Brokers Mutual Fund Brokers Index Fund Brokers Bond Brokers Short Selling Brokers Stock Apps Penny Stocks Stocks Under 5 Stocks Under 10 Stocks Under 20 Stocks Under 50 Stocks Under 100 Invest Art Invest Land Invest Real Estate Invest Wine Invest Gold Auto Home Medicare Life Vision Dental Business Pet Health Masterworks Review Motorcycle Renters Workers Comp Refinance Purchase Find Mortgage Broker CryptoCrypto News Bitcoin Ethereum Blockchain Best Alt Coins How buy Crypto TVYouTube Video Podcasts ToolsEarnings Calendar IPO Calendar Guidance Calendar FDA Calendar Dividend Calendar Stock Split Calendar Conference Call Calendar Economic Calendar Insider Trades Trade Idea Feed Analyst Ratings Unusual Options Activity Premium Market Overview Tickers, Articles Keywords: TickersArticlesKeywords keyword...googlecse Veritone Shares Pop On Becoming US Sole DOJ Approved Multi Cloud AI Platform Provider Anusuya Lahiri , Benzinga Staff Writer following ? Following : Follow October 14, 2021 9:45am 223 Comments Share: Veritone NASDAQ: VERIexpanded availabilityof aiWARE Government components U.S. Department Justice DOJ. Initially sponsored Executive Office U.S. Attorneys EOUSA DOJ, Veritone obtained expanded, enterprisewide Authority Operate ATO FedRAMP authorization board aiWARE Government platform. Veritone aiWARE Government DOJwide AI platform approved available onMicrosoft CorpNASDAQ:MSFT Azure Government NASDAQ:AMZN AWS GovCloud environments, uniquely providing 59 DOJ agencies flexibility require meet AIbased missions. Veritone aiWARE ingest, structure to, analyze, discover, transcribe translate data thousands times faster, accurately, significantly lower cost manual labor alternatives, Veritone head Jon Gacek said. Without Veritones underlying aiWARE operating systems A.I. readily available applications benefitting Azures infinite compute capabilities, U.S. government public safety customers alike relegated building bespoke applications ground takes lot time, money, support, Microsoft CTO Jason Payne said. Price Action:VERI shares traded higher 3.48 24.11 market session check Thursday. 2021 . Benzinga provide investment advice. . Related Articles VERI 58 Biggest Movers From Yesterday Why Is Veritones Stock Trading Higher Today? Veritone Scoops Content Licensing Contract With CBS News 38 Stocks Moving In Thursdays MidDay Session Return Capital Employed Insights Veritone View Comments Join Discussion View discussion thread. PostedIn: Briefs movingNews Small Cap Movers Tech Trading Ideas Need newswire data? Click licensing options. 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] | 1 | 5,214 |
https://www.benzinga.com/news/23/06/32809936/rishi-sunaks-extracts-reveal-uks-ambitious-plan-for-ai-regulation-we-must-act-quickly
| 2023-06-12T00:00:00 |
en
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UK PM: Ambitious AI Regulation Plan Revealed - Benzinga
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UK PM: Ambitious AI Regulation Plan Revealed - 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 ActivityHeatmapsFree NewsletterShort InterestMost ShortedLargest IncreaseLargest DecreaseCalculatorsMargin CalculatorForex Profit Calculator100x Options Profit Calculator-––%-––%-––%-––%-––%-––%-––%Rishi Sunak's Extracts Reveal UK's Ambitious Plan for AI Regulation: 'We Must Act … Quickly'by Ananya Gairola, Benzinga Staff Writer June 11, 2023 10:10 PM | 2 min read Amid the global push to address the potential risk of artificial intelligence while fostering innovation, U.K. Prime Minister Rishi Sunak plans to take center stage with an urgent call to action, emphasizing the need for quick action. What Happened: During the commencement of London Tech Week, Sunak will address the audience, likely asserting that the landscape of technology is undergoing a seismic shift.He will maintain the need for prompt action, urging stakeholders to comprehend and embrace the opportunities and challenges presented by the evolving landscape of AI, reported Reuters, citing advance extracts released by his office. See Also: Marc Andreessen’s Bold Plan To Save The World With Unrestricted AI“We must act – and act quickly – if we want not only to retain our position as one of the world’s tech capitals … but to go even further, and make this the best country in the world to start, grow and invest in tech businesses,” Sunak will say, as per the released extracts. Sunak will underscore the tech sector’s central role in driving economic growth and outline the government’s collaboration with businesses to capitalize on transformative technologies like AI, often likened to the internet’s arrival, the report noted.
“The possibilities are extraordinary. But we must – and we will – do it safely,” he will say on Monday. “I want to make the UK not just the intellectual home but the geographical home of global AI safety regulation.”Why It’s Important: Last week, following his trip to Washington, Sunak announced that Britain would host a high-profile global summit later this year dedicated to addressing the safety concerns surrounding AI.In April earlier this year, President Joe Biden’s administration emerged as a leading advocate, asserting the need for more robust measures to ensure the safety of AI tools before their public release. Previously, Alphabet Inc. CEO Sundar Pichai concurred with remarks made by OpenAI’s Sam Altman and Elon Musk, emphasizing the criticality of regulating AI, stating, “AI is too important not to regulate well.”Check out more of Benzinga’s Consumer Tech coverage by following this link.Read Next: PM Modi Envisions AI-Boosted Future For India’s Youth In Chat With Sam Altman© 2023 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.Posted In: NewsTechMediaAIAI RegulationsArtificial Inteliigenceartificial intelligenceConsumer TechElon MuskPeople In TechRishi SunakPopular 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
|
UK PM: Ambitious AI Regulation Plan Revealed
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UK PM: Ambitious AI Regulation Plan Revealed 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 ActivityHeatmapsFree NewsletterShort InterestMost ShortedLargest reaseLargest DecreaseCalculatorsMargin CalculatorForex Profit Calculator100x Options Profit CalculatorRishi Sunaks Extracts Reveal UKs Ambitious Plan AI Regulation: We Must Act Quicklyby Ananya Gairola, Benzinga Staff Writer June 11, 2023 10:10 PM 2 min read Amid global push address thepotential risk artificial intelligencewhile fostering innovation, U.K. Prime MinisterRishi Sunakplans center stage urgent action, emphasizing need quick action.What Happened:During commencement London Tech Week, Sunak address audience, likely asserting landscape technology undergoing seismic shift.He maintain need prompt action, urging stakeholders comprehend embrace opportunities challenges presented evolving landscape AI, reported Reuters, citing advance extracts released office. See Also:Marc Andreessens Bold Plan To Save The World With Unrestricted AIWe act act quickly want retain position worlds tech capitals further, best country world start, grow invest tech businesses, Sunak say, released extracts.Sunak underscore tech sectors central role driving economic growth outline governments collaboration businesses capitalize transformative technologies like AI,often likened internets arrival, report noted. The possibilities extraordinary. But safely, Monday. I want UK intellectual home geographical home global AI safety regulation.Why Its Important:Last week, following trip Washington, Sunak announced Britain host highprofile global summit later year dedicated addressing thesafety concerns surrounding AI.In April earlier year, PresidentJoe Bidensadministrationemerged leading advocate, asserting need robust measures ensure safety AI tools public release.Previously,Alphabet .CEOSundar Pichaiconcurred remarks byOpenAIs Sam AltmanandElon Musk, emphasizing criticality regulating AI, stating, AI important regulate well.Check Benzingas Consumer Tech coverage byfollowing link.Read Next:PM Modi Envisions AIBoosted Future For Indias Youth In Chat With Sam Altman 2023 . Benzinga provide investment advice. .Posted In: NewsTechMediaAIAI RegulationsArtificial Inteliigenceartificial intelligenceConsumer TechElon MuskPeople In TechRishi SunakPopular 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
| 2,023 |
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] | 1 | 5,215 |
https://www.binghamtonhomepage.com/news/national-news/the-beatles-are-releasing-their-final-record-with-the-help-of-ai/
| 2023-06-14T00:00:00 |
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The Beatles are releasing their ‘final’ record, with the help of AI | WIVT - NewsChannel 34
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The Beatles are releasing their ‘final’ record, with the help of AI | WIVT - NewsChannel 34
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FILE – Paul McCartney and Nancy Shevell pose for photographers upon arrival for the premiere of the film ‘If These Walls Could Sing’ in … Read More
FILE – Paul McCartney and Nancy Shevell pose for photographers upon arrival for the premiere of the film ‘If These Walls Could Sing’ in London, Monday, Dec. 12, 2022. Artificial intelligence has been used to extract John Lennon’s voice from an old demo to create “the last Beatles record,” Paul McCartney said Tuesday, June 13, 2023. McCartney, 80, told the BBC that the technology was used to separate the Beatles’ voices from background sounds during the making of director Peter Jackson’s 2021 documentary series, “The Beatles: Get Back.” (Photo by Scott Garfitt/Invision/AP, File)Read Less
National News
The Beatles are releasing their ‘final’ record, with the help of AI
by: The Associated Press
Posted: Jun 13, 2023 / 08:04 PM EDT
Updated: Jun 13, 2023 / 08:04 PM EDT
FILE – Paul McCartney and Nancy Shevell pose for photographers upon arrival for the premiere of the film ‘If These Walls Could Sing’ in … Read More
FILE – Paul McCartney and Nancy Shevell pose for photographers upon arrival for the premiere of the film ‘If These Walls Could Sing’ in London, Monday, Dec. 12, 2022. Artificial intelligence has been used to extract John Lennon’s voice from an old demo to create “the last Beatles record,” Paul McCartney said Tuesday, June 13, 2023. McCartney, 80, told the BBC that the technology was used to separate the Beatles’ voices from background sounds during the making of director Peter Jackson’s 2021 documentary series, “The Beatles: Get Back.” (Photo by Scott Garfitt/Invision/AP, File) Read Less
by: The Associated Press
Posted: Jun 13, 2023 / 08:04 PM EDT
Updated: Jun 13, 2023 / 08:04 PM EDT
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LONDON (AP) — Artificial intelligence has been used to extract John Lennon’s voice from an old demo to create “the last Beatles record,” decades after the band broke up, Paul McCartney said Tuesday.
McCartney, 80, told the BBC that the technology was used to separate the Beatles’ voices from background sounds during the making of director Peter Jackson’s 2021 documentary series, “The Beatles: Get Back.” The “new” song is set to be released later this year, he said.
Jackson was “able to extricate John’s voice from a ropey little bit of cassette and a piano,” McCartney told BBC radio. “He could separate them with AI, he’d tell the machine ‘That’s a voice, this is a guitar, lose the guitar’.”
“So when we came to make what will be the last Beatles record, it was a demo that John had that we worked on,” he added. “We were able to take John’s voice and get it pure through this AI so then we could mix the record as you would do. It gives you some sort of leeway.”
McCartney didn’t identify the name of the demo, but the BBC and others said it was likely to be an unfinished 1978 love song by Lennon called “Now and Then.” The demo was included on a cassette labeled “For Paul” that McCartney had received from Lennon’s widow, Yoko Ono, the BBC reported.
McCartney described AI technology as “kind of scary but exciting,” adding: “We will just have to see where that leads.”
The same technology enabled McCartney to “duet” virtually with Lennon, who was murdered in 1980, on “I’ve Got a Feeling” last year at Glastonbury Festival.
Holly Herndon, a multidisciplinary artist with a doctorate in composition from Stanford University, used nascent AI machine technology on her last album, 2019’s “Proto,” and developed Holly+, an online protocol that allows the public to upload tracks to be reinterpreted and performed by a deepfake version of her voice. She theorizes that the Beatles’ recording was likely created using a process called “source separation.”
“Source separation has become much easier to do with machine learning. This allows you to extract a voice from a recording, isolating it so that you might accompany it with new instrumentation,” she explains.
That differs from a deepfake vocal. “A deepfake is an entirely new vocal line spawned from a machine learning model trained on old vocal lines,” she said. “While it does not appear to be happening in this example, it is now possible to spawn infinite new media from analyzing older material, which is a similar process, in spirit, to this song.”
McCartney is set to open an exhibition later this month at the National Portrait Gallery in London featuring previously unseen photographs that he took during the early days of the Beatles at the start of “Beatlemania,” when the band rose to worldwide fame.
The exhibition, titled “Eyes of the Storm,” showcases more than 250 photos McCartney took on his camera between 1963 and 1964 — including portraits of Ringo Starr, George Harrison and Lennon, as well as Beatles manager Brian Epstein.
Copyright 2023 Nexstar Media Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
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The Beatles are releasing their ‘final’ record, with the help of AI
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The Beatles releasing final record, help AI WIVT NewsChannel 34 Skip content WIVT NewsChannel 34 Binghamton 60 Sign Up Binghamton 60 Sponsored By Toggle Menu Open Navigation Close Navigation Please enter search term. 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FILE Paul McCartney Nancy Shevell pose photographers arrival premiere film If These Walls Could Sing Read More FILE Paul McCartney Nancy Shevell pose photographers arrival premiere film If These Walls Could Sing London, Monday, Dec. 12, 2022. Artificial intelligence extract John Lennons voice old demo create Beatles record, Paul McCartney said Tuesday, June 13, 2023. McCartney, 80, told BBC technology separate Beatles voices background sounds making director Peter Jacksons 2021 documentary series, The Beatles: Get Back. Photo Scott GarfittInvisionAP, FileRead Less National News The Beatles releasing final record, help AI by: The Associated Press Posted: Jun 13, 2023 08:04 PM EDT Updated: Jun 13, 2023 08:04 PM EDT FILE Paul McCartney Nancy Shevell pose photographers arrival premiere film If These Walls Could Sing Read More FILE Paul McCartney Nancy Shevell pose photographers arrival premiere film If These Walls Could Sing London, Monday, Dec. 12, 2022. Artificial intelligence extract John Lennons voice old demo create Beatles record, Paul McCartney said Tuesday, June 13, 2023. McCartney, 80, told BBC technology separate Beatles voices background sounds making director Peter Jacksons 2021 documentary series, The Beatles: Get Back. Photo Scott GarfittInvisionAP, File Read Less by: The Associated Press Posted: Jun 13, 2023 08:04 PM EDT Updated: Jun 13, 2023 08:04 PM EDT SHARE LONDON AP Artificial intelligence extract John Lennons voice old demo create Beatles record, decades band broke up, Paul McCartney said Tuesday. McCartney, 80, told BBC technology separate Beatles voices background sounds making director Peter Jacksons 2021 documentary series, The Beatles: Get Back. The new song set released later year, said. Jackson able extricate Johns voice ropey little bit cassette piano, McCartney told BBC radio. He separate AI, hed tell machine Thats voice, guitar, lose guitar. So came Beatles record, demo John worked on, added. We able Johns voice pure AI mix record do. It gives sort leeway. McCartney didnt identify demo, BBC said likely unfinished 1978 love song Lennon called Now Then. The demo included cassette labeled For Paul McCartney received Lennons widow, Yoko Ono, BBC reported. McCartney described AI technology kind scary exciting, adding: We leads. The technology enabled McCartney duet virtually Lennon, murdered 1980, Ive Got Feeling yearat Glastonbury Festival. Holly Herndon, multidisciplinary artist doctorate composition Stanford University, nascent AI machine technology album, 2019s Proto, developedHolly, online protocol allows public upload tracks reinterpreted performed deepfake version voice. She theorizes Beatles recording likely created process called source separation. Source separation easier machine learning. This allows extract voice recording, isolating accompany new instrumentation, explains. That differs froma deepfake vocal. A deepfake entirely new vocal line spawned machine learning model trained old vocal lines, said. While appear happening example, possible spawn infinite new media analyzing older material, similar process, spirit, song. McCartney set open exhibition later month National Portrait Gallery London featuring previously unseen photographs took early days Beatles start Beatlemania, band rose worldwide fame. The exhibition, titled Eyes Storm, showcases 250 photos McCartney took camera 1963 1964 including portraits Ringo Starr, George Harrison Lennon, Beatles manager Brian Epstein. 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. Products help scared pups learn love water Training 8 hours ago Do wateraverse dog? Try products designed help conquer fear water. Salad spinners, mandoline slicers tools Utensils Gadgets 8 hours ago Whether youre planning summer picnic enjoying evening home, kitchen tools making fresh summer salad. 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https://www.bioworld.com/articles/690306-two-decades-after-seminal-paper-exscientia-highlights-untapped-potential-of-ai-drug-discovery?v=preview
| 2022-10-05T00:00:00 |
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Two decades after seminal paper, Exscientia highlights untapped potential of AI drug discovery | BioWorld
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Two decades after seminal paper, Exscientia highlights untapped potential of AI drug discovery | BioWorld
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See subscription optionsTo read the full story, subscribe or sign in.Two decades after seminal paper, Exscientia highlights untapped potential of AI drug discovery
Oct. 5, 2022
By Richard Staines
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It’s been 20 years since Andrew Hopkins, founder and CEO of artificial intelligence drug research firm Exscientia plc, co-authored the seminal paper “The Druggable Genome,” which laid the foundations for the company and gave insights about how to make research more efficient and less costly. Now Hopkins’ colleagues at Exscientia, led by the company’s associate director of structural bioinformatics, Chris Radoux, have taken stock of progress in a new paper, “The druggable genome: Twenty years later,” that summarizes advances in the field and evolution in thinking over the past two decades.BioWorld
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Two decades seminal paper, Exscientia highlights untapped potential AI drug discovery BioWorld All Clarivate websites use cookies improve online experience. They placed launched website. You change cookie settings browser. More information cookie policy. BioWorld. Link home. BioWorldBioWorld MedTechBioWorld AsiaBioWorld ScienceData SnapshotsBioWorldBioWorld MedTechSpecial reportsAgingArtificial intelligenceCoronavirusIVDs riseTop Biopharma Trends 2021Top Medtech Trends 2021Premium reportsBioWorld Financings ReportsDisease idence Prevalence Summaries BioWorld. Link home. Sign Out My Account BioWorld Wednesday, October 5, 2022See todays BioWorldHome Two decades seminal paper, Exscientia highlights untapped potential AI drug discoveryXUpgrade daily dose biopharma medtech news BioWorld news services See subscription optionsTo read story, subscribe sign in.Two decades seminal paper, Exscientia highlights untapped potential AI drug discovery Oct. 5, 2022 By Richard Staines No Comments Its 20 years Andrew Hopkins, founder CEO artificial intelligence drug research firm Exscientia plc, coauthored seminal paper The Druggable Genome, laid foundations company gave insights research efficient costly. Now Hopkins colleagues Exscientia, led companys associate director structural bioinformatics, Chris Radoux, taken stock progress new paper, The druggable genome: Twenty years later, summarizes advances field evolution thinking past decades.BioWorld Popular Stories Free access BioWorld coronavirus articlesBioWorldThe articles collection BioWorlds ongoing coverage COVID19 coronavirus pandemic. They available free registration. Note... Todays news briefBioWorldBioWorld briefs Oct. 4, 2022. Todays news briefBioWorld MedTechBioWorld MedTech briefs Oct. 4,2022. No black box BMS Sotyktu psoriasis; measured launch ahead?BioWorldBristol Myers Squibb Co. BMS dodged blackbox warning label justapproved Sotyktu deucravacitinib, hurdles lie ahead firstinclass,... Polaris lead candidate, pegargiminase, meets primary, secondary endpoints phase IIIII pivotal Atomic trialBioWorldPolaris Pharmaceuticals .s pegargiminase pegylated arginine deiminaseADIPEG 20 met primary endpoint statistically significant improvement in... BioWorld PremiumEnjoy extended coverage complete market view BioWorld, BioWorld MedTech, BioWorld Asia single, easy access subscription.BioWorldTodays newsAnalysis data insightClinicalData SnapshotsDeals MAFinancingsNewco newsOpinionRegulatoryScienceBioWorld MedTechTodays newsClinicalData SnapshotsDeals MAFinancingsNewco newsOpinionRegulatoryScienceBioWorld AsiaTodays newsAnalysis data insightAustraliaChinaClinicalDeals MAFinancingsNewco newsRegulatoryScienceBioWorld ScienceTodays newsBiomarkersCancerConferencesEndocrineMetabolicImmuneInfectionNeurologyPsychiatricPatentsMoreAboutArchivesArticle reprints permissions policy noticeData methodologyPodcastsPrivacy policyShare news BioWorldStaffTerms use 2022. . Design, CMS, Hosting Web Development :: ePublishing
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https://www.blackhillsfox.com/prnewswire/2022/07/01/record-breaking-registrants-technical-papers-2022-ieeecvf-conference-computer-vision-pattern-recognition-cvpr/
| 2022-07-01T00:00:00 |
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Record-Breaking Registrants and Technical Papers for 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Record-Breaking Registrants and Technical Papers for 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Skip to contentNewsElection ResultsLocalWeatherEric's 60 Second KitchenRising Star of the WestLive StreamingPhotosHomeElection ResultsLive StreamingNewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealth/MedicalLaw EnforcementLocalMedicalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherDownload Our Weather AppClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenPoliticsContestsSportsCommunity CalendarContact UsMeet the TeamStation JobsPhotosSubmit a StoryProgramming ScheduleCOVID-19 MapNewsletterSupport Local BusinessesCircle - Country Music & LifestyleGray DC BureauInvestigate TVPowerNationLatest NewscastsPress ReleasesRecord-Breaking Registrants and Technical Papers for 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Published: Jul. 1, 2022 at 3:42 PM MDT|Updated: 40 minutes agoAdvancing the Frontiers of Computer Vision Research, Technologies, and Solutions LOS ALAMITOS, Calif., July 1, 2022 /PRNewswire/ -- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the largest gathering of professionals from across the world and from every aspect of the computer vision, machine learning (ML), and artificial intelligence (AI) industries, successfully concluded this week, breaking records with over 10,250 conference registrants and 2000 technical papers presented.CVPR 2022, hosted by the IEEE Computer Society (IEEE CS) and the Computer Vision Foundation (CVF), experienced record-breaking registrants and technical papers at the conference that explored all aspects of computer vision, AI, and ML.(PRNewswire)Computer vision is a field of AI that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs — and take actions or make recommendations based on that information. CVPR 2022 convened the brightest minds in the field for a week-long program of papers, keynotes, workshops, tutorials, posters, virtual learning, and discussion, and showcased the advancement of computer vision on a global scale.CVPR's annual conference covered an extensive range of computer vision, AI, and ML topics and applications; the top five research categories at CVPR 2022 ranked by the number of papers accepted this year are:Recognition: detection, categorization, retrievalImage and video synthesis and generation3D from multi-view and sensorsLow level visionVision + language.CVPR 2022 experienced a record number of paper submissions - 8,161 - of which only 2,064 were accepted at the conference.CVPR annually recognizes such research through its best papers awards, and the event is internationally known for its prestigious awards program. From this year's 33 finalists selected from the 2,064 accepted papers, the Awards Committee presented the following awards:Best Paper AwardLearning to Solve Hard Minimal ProblemsAuthors: Petr Hruby, Timothy Duff, Anton Leykin, and Tomas PajdlaBest Paper Honorable MentionDual-Shutter Optical Vibration SensingAuthors: Mark Sheinin, Dorian Chan, Matthew O'Toole, Srinivasa NarasimhanBest Student Paper AwardEPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationAuthors: Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao LiBest Student Paper Honorable MentionRef-NeRF: Structured View-Dependent Appearance for Neural Radiance FieldsAuthors: Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan Barron, Pratul SrinivasanThe event's exhibit hall packed with 137 exhibitors provided an abundance of advancements to explore and included companies noted for their AI programs such as Apple, Meta, Microsoft, and TikTok, as well as autonomous driving companies like Argo AI, Tesla, cruise, and Zoox.Exhibitor highlights include:Unity Computer Vision showcased "Digital Humans for Computer Vision" - a proprietary digital human generator was developed that contains highly-parametric and simulation-ready 3D human assets.Tesla brought the Tesla Cybertruck prototype to CVPR for attendees to inspect up-close.Zoox, the autonomous robotaxi company bought by Amazon, showcased its purpose-built vehicle for the first time at the conference - guests were able to envision the future of transportation by sitting inside.At the Meta booth, attendees met with researchers actively exploring the latest machine learning techniques for application to various areas of machine perception.The CVPR 2022 keynote speaker lineup included the following high-profile industry leaders:Josh Tennenbaum – Professor, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology (MIT), presented "Learning to See the Human Way"Xuedong Huang – Technical Fellow, Chief Technology Officer Azure AI, presented "Toward Integrative AI with Computer Vision"Kavita Bala – Dean, Ann S. Bowers College of Computing and Information Science, Cornell University, presented "Understanding Visual Appearance from Micron to Global Scale."A panel session covering "Embodied Computer Vision," featured Martial Hebert, Carnegie Mellon University, as the moderator, with panelists that included Kristen Grauman, University of Texas, Austin, and Meta AI; Nicholas Roy, Zoox, and MIT; and Michael Ryoo, Stonybrook University and Google.The 2023 CVPR event will take place in Vancouver, from June 17 to 23, 2023.About CVPR The Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision and pattern recognition conference. With first-in-class technical content, the main program, tutorials, workshops, a leading-edge expo, and attended by more than 7,500 people annually, CVPR creates a one-of-a-kind opportunity for networking, recruiting, inspiration, and motivation.About the IEEE Computer SocietyThe IEEE Computer Society is the world's home for computer science, engineering, and technology. A global leader in providing access to computer science research, analysis, and information, the IEEE Computer Society offers a comprehensive array of unmatched products, services, and opportunities for individuals at all stages of their professional careers. Known as the premier organization that empowers the people who drive technology, the IEEE Computer Society offers international conferences including CVPR, peer-reviewed publications, a unique digital library, and training programs.About the Computer Vision FoundationThe Computer Vision Foundation is a non-profit organization whose purpose is to foster and support research on all aspects of computer vision. Together with the IEEE Computer Society, it co-sponsors the two largest computer vision conferences: CVPR and the International Conference on Computer Vision (ICCV).(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/record-breaking-registrants-and-technical-papers-for-2022-ieeecvf-conference-on-computer-vision-and-pattern-recognition-cvpr-301579890.htmlSOURCE IEEE Computer SocietyThe 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 - © 2002-2022 Gray Television, Inc.
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Record-Breaking Registrants and Technical Papers for 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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RecordBreaking Registrants Technical Papers 2022 IEEECVF Conference Computer Vision Pattern Recognition CVPR Skip contentNewsElection ResultsLocalWeatherErics 60 Second KitchenRising Star WestLive StreamingPhotosHomeElection ResultsLive StreamingNewsAgricultureBusinessCommunityCrimeEconomyEducationFine ArtsFoodHealthMedicalLaw EnforcementLocalMedicalMilitaryNationalRegionalScienceStateSturgis RallyTechnologyVideoWeatherDownload Our Weather AppClosingsWeather CamsWeather BlogGood Morning Black Hills60 Second KitchenPoliticsContestsSportsCommunity Calendar UsMeet TeamStation JobsPhotosSubmit StoryProgramming ScheduleCOVID19 MapNewsletterSupport Local BusinessesCircle Country Music LifestyleGray DC BureauInvestigate TVPowerNationLatest NewscastsPress ReleasesRecordBreaking Registrants Technical Papers 2022 IEEECVF Conference Computer Vision Pattern Recognition CVPRPublished: Jul. 1, 2022 3:42 PM MDTUpdated: 40 minutes agoAdvancing Frontiers Computer Vision Research, Technologies, SolutionsLOS ALAMITOS, Calif., July 1, 2022 PRNewswire 2022 IEEECVF Conference Computer Vision Pattern Recognition CVPR, largest gathering professionals world aspect vision, machine learning ML, artificial intelligence AI industries, successfully concluded week, breaking records 10,250 conference registrants 2000 technical papers presented.CVPR 2022, hosted IEEE Computer Society IEEE CS Computer Vision Foundation CVF, experienced recordbreaking registrants technical papers conference explored aspects vision, AI, ML.PRNewswireComputer vision field AI enables computers systems derive meaningful information digital images, videos, visual inputs actions recommendations based information. CVPR 2022 convened brightest minds field weeklong programof papers, keynotes, workshops, tutorials, posters, virtual learning, discussion, showcased advancement vision global scale.CVPRs annual conference covered extensive range vision, AI, ML topics applications; research categories CVPR 2022 ranked number papers accepted year are:Recognition: detection, categorization, retrievalImage video synthesis generation3D multiview sensorsLow level visionVision language.CVPR 2022 experienced record number paper submissions 8,161 2,064 accepted conference.CVPR annually recognizes research best papers awards, event internationally known prestigious awards program. From years 33 finalists selected 2,064 accepted papers, Awards Committee presented following awards:Best Paper AwardLearning Solve Hard Minimal ProblemsAuthors: Petr Hruby, Timothy Duff, Anton Leykin, Tomas PajdlaBest Paper Honorable MentionDualShutter Optical Vibration SensingAuthors: Mark Sheinin, Dorian Chan, Matthew OToole, Srinivasa NarasimhanBest Student Paper AwardEProPnP: Generalized EndtoEnd Probabilistic PerspectivenPoints Monocular Object Pose EstimationAuthors: Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao LiBest Student Paper Honorable MentionRefNeRF: Structured ViewDependent Appearance Neural Radiance FieldsAuthors: Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan Barron, Pratul SrinivasanThe events exhibit hall packed 137 exhibitors provided abundance advancements explore included companies noted AI programs Apple, Meta, Microsoft, TikTok, autonomous driving companies like Argo AI, Tesla, cruise, Zoox.Exhibitor highlights include:Unity Computer Vision showcased Digital Humans Computer Vision proprietary digital human generator developed contains highlyparametric simulationready 3D human assets.Teslabrought Tesla Cybertruck prototype CVPR attendees inspect upclose.Zoox, autonomous robotaxi company bought Amazon, showcased purposebuilt vehicle time conference guests able envision future transportation sitting inside.At Meta booth, attendees met researchers actively exploring latest machine learning techniques application areas machine perception.The CVPR 2022 keynote speaker lineup included followinghighprofile industry leaders:Josh Tennenbaum Professor, Department Brain Cognitive Sciences, Massachusetts Institute Technology MIT, presented Learning See Human WayXuedong Huang Technical Fellow, Chief Technology Officer Azure AI, presented Toward Integrative AI Computer VisionKavita Bala Dean, Ann S. Bowers College Computing Information Science, Cornell University, presented Understanding Visual Appearance Micron Global Scale.A panel session covering Embodied Computer Vision, featured Martial Hebert, Carnegie Mellon University, moderator, panelists included Kristen Grauman, University Texas, Austin, Meta AI; Nicholas Roy, Zoox, MIT; Michael Ryoo, Stonybrook University Google.The 2023 CVPR event place Vancouver, June 17 23, 2023.About CVPRThe Computer Vision Pattern Recognition Conference CVPR premier annual vision pattern recognition conference. With firstinclass technical content, main program, tutorials, workshops, leadingedge expo, attended 7,500 people annually, CVPR creates oneofakind opportunity networking, recruiting, inspiration, motivation.About IEEE Computer SocietyThe IEEE Computer Society worlds home science, engineering, technology. A global leader providing access science research, analysis, information, IEEE Computer Society offers comprehensive array unmatched products, services, opportunities individuals stages professional careers. Known premier organization empowers people drive technology, IEEE Computer Society offers international conferences including CVPR, peerreviewed publications, unique digital library, training programs.About Computer Vision FoundationThe Computer Vision Foundationis nonprofit organization purpose foster support research aspects vision. Together IEEE Computer Society, cosponsors largest vision conferences: CVPR International Conference Computer Vision ICCV.PRNewswireView original content download multimedia: IEEE Computer SocietyThe 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 20022022 Gray Television, .
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https://www.blackhillsfox.com/prnewswire/2023/03/03/sun-west-mortgage-launch-real-estate-professionals-training-course-new-ai-personal-assistant-morgan/
| 2023-03-03T00:00:00 |
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Sun West Mortgage Launch Real Estate Professionals Training Course For New AI Personal Assistant MORGAN
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Sun West Mortgage Launch Real Estate Professionals Training Course For New AI Personal Assistant MORGAN
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 ReleasesSun West Mortgage Launch Real Estate Professionals Training Course For New AI Personal Assistant MORGANPublished: Mar. 3, 2023 at 6:11 AM MST|Updated: 1 hour agoBUENA PARK, Calif. , March 3, 2023 /PRNewswire/ -- Sun West Mortgage and Celligence CEO, Pavan Agarwal, has created a 24/7 personal assistant A.I. platform called MORGAN, designed for real estate professionals saving users up to 42% of their time daily. When real estate professionals use all of MORGAN's features, it will give them time to focus on more important things like family and building client relationships. Sun West has been in business for 42 years and MORGAN has been programmed with this knowledge and data. So, MORGAN is never wrong and all decisions are warranted by Sun West, meaning Sun West stands behind MORGAN 100% of the time.Pavan Agarwal CEO of Sun West Mortgage Company, Inc.(PRNewswire)Pavan has been taking time to educate the public on MORGAN through his MORGAN University YouTube webinars. His goal is to help real estate professionals close as many deals and help as many clients as possible. MORGAN University provides a rare opportunity to learn from a CEO with 42 years of experience and includes actionable advice on how to grow your business. In an age rampant with social media gurus aggressively promoting paid courses to the masses, Pavan offers a series free workshops for any realtor® or loan officer looking to use A.I. technology to increase their sales while saving time.Realtors spend the most time on lead follow up and marketing. MORGAN automates both of these tasks. They can direct their clients to MORGAN when applying for a loan and the A.I. will walk them through the entire process. The borrowers are able to upload their application and loan documents through MORGAN and it will be analyzed and calculated immediately. When potential clients contact the realtor®, they can connect their client to MORGAN and automatic lead follow up calls and emails will be sent for four days, before moving them to a conventional email campaign. Early MORGAN adopters receive the special perk of creating their own unique email templates to be sent to potential clients. Instead of taking time out of the workday to chase down leads that do not materialize, realtors can focus on properly developing the established relationships they do have with their clients. They can leave the chasing to MORGAN.MORGAN also automates marketing. Pavan discussed that MORGAN can create listings in just a few minutes. All realtors need to do is provide their licensing information, listing photos, and property information and MORGAN will create a professionally designed listing on their own website. Aside from the description, MORGAN actually provides a financing chart detailing conventional, VA, and FHA loan scenarios with down payment, interest rate, APR, and monthly mortgage payment information. Many realtors skip this step as it is too complex and time consuming. Pavan also made it clear that MORGAN is complementary to ChatGPT for realtors. Realtors may use Chat GPT to write the listing description, but it will not provide them the financing calculations and multiple scenarios that MORGAN can. Agarwal explained that realtors can take advantage of all the new software being developed for free, no matter the loan provider and use it to lessen their workload.MORGAN University is an ongoing series with more live sessions scheduled for the upcoming weeks. The next session is coming up on March 8th at 4 p.m. EST and you can register at www.swmc.com/morgan-university. So, stay tuned real estate professionals and join the CEO of one of the largest privately owned mortgage companies and Celligence, a fast growing tech startup, to gain priceless knowledge, insight, and skills on how to grow your career with MORGAN.About Celligence:Celligence is an affiliate of Sun West Mortgage Company, Inc. (Sun West), one of the largest independent, privately owned financial services companies. As one of the fastest growing fin-tech companies, Celligence provide exceptional service, technology, and product innovation.At Celligence, a team of brilliant engineers are continuously filing new patents and expanding the boundaries of the financial services industry through innovations in mobile applications, customer acquisition and retention algorithms, and AI based process automation.About Sun West Mortgage Company, Inc. (NMLS ID 3277)At Sun West Mortgage Company, Inc., we dedicate ourselves to offering an amazing experience to our customers. To accomplish this, we empower our loan officers so that they can find great rates and provide the most fitting loan options for each customer - at amazing speed. Our focus on technology has given us an edge in the mortgage industry to offer exceptional turn times so that customers can get into the home of their dreams sooner.We are committed to our core values of people, experience, technology, and product. Sun West was founded in 1980 with the perspective of "customers first" and the desire to make the mortgage process easy and stress-free for prospective homeowners. Since then, Sun West has been servicing a multi-billion-dollar loan portfolio and is licensed in 50 states, the District of Columbia, Puerto Rico, and the US Virgin Islands. Our 42 years of experience has been passed down to everyone here at Sun West through excellent leadership and capabilities.For licensing information, go to: www.nmlsconsumeraccess.org. Visit http://www.swmc.com/swmc/disclaimer.php for the full list of license information. Please refer to https://www.swmc.com/TXdis.php to view Texas Complaint Notice and Servicing Disclosure. In all jurisdictions, the principal (main) licensed location of Sun West Mortgage Company, Inc. is 6131 Orangethorpe Avenue, Suite 500, Buena Park, CA 90620, Phone: (800) 453-7884.Realtor® is a registered trademark of National Association of Realtors®.Photo - https://mma.prnewswire.com/media/2015523/Sun_West_Mortgage.jpgView original content to download multimedia:https://www.prnewswire.com/news-releases/sun-west-mortgage-launch-real-estate-professionals-training-course-for-new-ai-personal-assistant-morgan-301762058.htmlSOURCE Sun West Mortgage CompanyThe 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.
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Sun West Mortgage Launch Real Estate Professionals Training Course For New AI Personal Assistant MORGAN
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Sun West Mortgage Launch Real Estate Professionals Training Course For New AI Personal Assistant MORGAN 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 ReleasesSun West Mortgage Launch Real Estate Professionals Training Course For New AI Personal Assistant MORGANPublished: Mar. 3, 2023 6:11 AM MSTUpdated: 1 hour agoBUENA PARK, Calif., March 3, 2023 PRNewswire Sun West Mortgage Celligence CEO, Pavan Agarwal, created 247 personal assistant A.I. platform called MORGAN, designed real estate professionals saving users 42 time daily. When real estate professionals use MORGANs features, time focus important things like family building client relationships. Sun West business 42 years MORGAN programmed knowledge data. So, MORGAN wrong decisions warranted Sun West, meaning Sun West stands MORGAN 100 time.Pavan Agarwal CEO Sun West Mortgage Company, .PRNewswirePavan taking time educate public MORGAN MORGAN University YouTube webinars. His goal help real estate professionals close deals help clients possible. MORGAN University provides rare opportunity learn CEO 42 years experience includes actionable advice grow business. In age rampant social media gurus aggressively promoting paid courses masses, Pavan offers series free workshops realtoror loan officer looking use A.I. technology increase sales saving time.Realtors spend time lead follow marketing. MORGAN automates tasks. They direct clients MORGAN applying loan A.I. walk entire process. The borrowers able upload application loan documents MORGAN analyzed calculated immediately. When potential clients contact realtor, connect client MORGAN automatic lead follow calls emails sent days, moving conventional email campaign. Early MORGAN adopters receive special perk creating unique email templates sent potential clients. Instead taking time workday chase leads materialize, realtors focus properly developing established relationships clients. They leave chasing MORGAN.MORGAN automates marketing. Pavan discussed MORGAN create listings minutes. All realtors need provide licensing information, listing photos, property information MORGAN create professionally designed listing website. Aside description, MORGAN actually provides financing chart detailing conventional, VA, FHA loan scenarios payment, rate, APR, monthly mortgage payment information. Many realtors skip step complex time consuming. Pavan clear MORGAN complementary ChatGPT realtors. Realtors use Chat GPT write listing description, provide financing calculations multiple scenarios MORGAN can. Agarwal explained realtors advantage new software developed free, matter loan provider use lessen workload.MORGAN University ongoing series live sessions scheduled upcoming weeks. The session coming March 8th 4 p.m. EST register So, stay tuned real estate professionals join CEO largest privately owned mortgage companies Celligence, fast growing tech startup, gain priceless knowledge, insight, skills grow career MORGAN.About Celligence:Celligence affiliate Sun West Mortgage Company, . Sun West, largest independent, privately owned financial services companies. As fastest growing fintech companies, Celligence provide exceptional service, technology, product innovation.At Celligence, team brilliant engineers continuously filing new patents expanding boundaries financial services industry innovations mobile applications, customer acquisition retention algorithms, AI based process automation.About Sun West Mortgage Company, . NMLS ID 3277At Sun West Mortgage Company, ., dedicate offering amazing experience customers. To accomplish this, empower loan officers great rates provide fitting loan options customer amazing speed. Our focus technology given edge mortgage industry offer exceptional turn times customers home dreams sooner.We committed core values people, experience, technology, product. Sun West founded 1980 perspective customers desire mortgage process easy stressfree prospective homeowners. Since then, Sun West servicing multibilliondollar loan portfolio licensed 50 states, District Columbia, Puerto Rico, US Virgin Islands. Our 42 years experience passed Sun West excellent leadership capabilities.For licensing information, to: Visit list license information. Please refer view Texas Complaint Notice Servicing Disclosure. In jurisdictions, principal main licensed location Sun West Mortgage Company, . 6131 Orangethorpe Avenue, Suite 500, Buena Park, CA 90620, Phone: 800 4537884.Realtor registered trademark National Association Realtors.Photo original content download multimedia: Sun West Mortgage CompanyThe 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, .
| 2,023 |
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https://www.bqprime.com/business/route-mobile-targets-billion-dollar-revenue-in-3-4-years-on-cloud-ai-push
| 2023-05-24T00:00:00 |
en
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Route Mobile Targets Billion-Dollar Revenue In 3-4 Years On Cloud, AI Push
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Route Mobile Targets Billion-Dollar Revenue In 3-4 Years On Cloud, AI Push
View All Search ResultsEnglishHindi ExploreHelloBQ Prime Reader4:03 am IST24 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
Business NewsRoute Mobile Targets Billion-Dollar Revenue In 3-4 Years On Cloud, AI PushADVERTISEMENTRoute Mobile Targets Billion-Dollar Revenue In 3-4 Years On Cloud, AI PushRoute Mobile has pegged its revenue growth at 20%, with margin at 12.5-13% in FY24, Chief Strategy Officer Gautam Badalia says. Tushar Deep Singh@tds1924 May 2023, 8:04 AM IST 24 May 2023, 8:04 AM IST24 May 2023, 8:04 AM ISTWhatsAppTwitterFacebookTelegramSave(Image source: Envato) Route Mobile Ltd. is on track to achieve a billion-dollar revenue run rate in the next three to four years, as communications platform-as-a-service increasingly becomes the backbone of the enterprise communications ecosystem.The confidence is reflected in the guidance for fiscal 2024.The Mumbai-based CPaaS firm expects to grow at 20% in FY24, with operational profitability coming in at 12.5–13%, even as the wider technology industry ...Route Mobile Ltd. is on track to achieve a billion-dollar revenue run rate in the next three to four years, as communications platform-as-a-service increasingly becomes the backbone of the enterprise communications ecosystem.The confidence is reflected in the guidance for fiscal 2024.The Mumbai-based CPaaS firm expects to grow at 20% in FY24, with operational profitability coming in at 12.5–13%, even as the wider technology industry is likely to dawdle in a slump brought on by the prospect of a recession in the U.S. and a prolonged war in Europe."Some aspects of the business are definitely experiencing headwinds, largely around promotional spends, but having said that, because of Covid, a lot of things have become more structural in the digital ecosystem," Gautam Badalia, chief strategy officer at Route Mobile, told BQ Prime during a post-earnings interaction."CPaaS is increasingly becoming the backbone of the enterprise ecosystem as that's where all the critical communication—be it transactions, customer engagements—are housed," he said. "The world is moving to CPaaS use cases in a big way—right from text messages to chatbots."The company's fourth-quarter performance underscores the bullishness.Net profit of the cloud communications platform rose 21.85% over the previous three months to Rs 104.05 crore in the quarter ended March 31, according to an exchange filing. That came on the back of revenue that increased 2.32% sequentially to Rs 1,008.66 crore. Route Mobile Q4 Results: Key Highlights (QoQ)Revenue rises 2.32% to Rs 1,008.66 crore.Earnings before interest and taxes up 7.94% at Rs 110.74 crore.EBIT margin at 10.97% versus 10.40% in the third quarter.Net profit up 21.85% to Rs 104.05 crore.For the full fiscal, Route Mobile’s revenue increased 78% year-on-year to Rs 3,608.63 crore, while the net profit nearly doubled to Rs 333.11 crore.The company aims to sustain the earnings momentum for the next three–four years.“In the past quarter, we were able to reap the benefits of the global CPaaS play we have," Badalia said. "We are already at half-a-billion dollar revenue run rate and on track to achieve a billion-dollar run rate in the next three to four years."The industry was growing at a certain rate and "there's no reason why we wouldn't", he said.Challenges AheadBut the industry itself is set for an overhaul, what with the advent of the epoch-making technology that is generative artificial intelligence.Route Mobile has launched Roubot—a no-code chatbot platform that fosters interactions through generative AI and natural language processing. It can be integrated with payment gateways and third-party messaging platforms with end-to-end encryption. The firm is also integrating a lot of use cases with OpenAI's ChatGPT.There's also the matter of Amazon Web Services' warning on cloud adoption.Growth in Amazon.com Inc.'s lucrative cloud business is slowing, the company said in filings for its January–March earnings, as its enterprise clients braced for turbulence and clamped down on spending. Chief Financial Officer Brian Olsavsky told analysts that cloud customers are paring their cloud bills in the April–June quarter, and Amazon is helping them do so to build long-term relationships. AWS sales growth slowed to 15.8% in the first quarter."Definitely, there are some recessionary headwinds globally and, to some extent, cloud spends have reduced," Badalia said. "But having said that, we are one of the largest—if not the largest—CPaaS players from emerging markets, and we are not dependent on one geography for growth."The industry is also witnessing consolidation—revenues are getting concentrated towards a few large players. Route Mobile is aware of the opportunity that the trend presents."There are definitely some white spaces in terms of our product bouquet, so we will at least look at plugging them—either through organic or inorganic efforts," Badalia said. "The U.S. happens to be a weak link in our portfolio, and at a time of a tech slowdown, we would be looking at some inorganic opportunities for entry into the U.S."The inorganic growth can be funded from Route Mobile's coffers, he said, as it's sitting on a net free cash flow in excess of Rs 70 crore, while the balance sheet remains healthy. "We have enough ammunition to pursue any acquisition opportunities."Watch The Full Conversation Here: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
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Route Mobile Targets Billion-Dollar Revenue In 3-4 Years On Cloud, AI Push
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Route Mobile Targets BillionDollar Revenue In 34 Years On Cloud, AI Push View All ResultsEnglishHindi ExploreHelloBQ Prime Reader4:03 amIST24 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 Business NewsRoute Mobile Targets BillionDollar Revenue In 34 Years On Cloud, AI PushADVERTISEMENTRoute Mobile Targets BillionDollar Revenue In 34 Years On Cloud, AI PushRoute Mobile pegged revenue growth 20, margin 12.513 FY24, Chief Strategy Officer Gautam Badalia says. Tushar Deep Singh May 2023, 8:04 AM IST 24 May 2023, 8:04 AM IST24 May 2023, 8:04 AM ISTWhatsAppTwitterFacebookTelegramSaveImage source: Envato Route Mobile Ltd. track achieve billiondollar revenue run rate years, communications platformasaservice increasingly backbone enterprise communications ecosystem.The confidence reflected guidance fiscal 2024.The Mumbaibased CPaaS firm expects grow 20 FY24, operational profitability coming 12.513, wider technology industry ...Route Mobile Ltd. track achieve billiondollar revenue run rate years, communications platformasaservice increasingly backbone enterprise communications ecosystem.The confidence reflected guidance fiscal 2024.The Mumbaibased CPaaS firm expects grow 20 FY24, operational profitability coming 12.513, wider technology industry likely dawdle slump brought prospect recession U.S. prolonged war Europe.Some aspects business definitely experiencing headwinds, largely promotional spends, said that, Covid, lot things structural digital ecosystem, Gautam Badalia, chief strategy officer Route Mobile, told BQ Prime postearnings interaction.CPaaS increasingly backbone enterprise ecosystem thats critical communicationbe transactions, customer engagementsare housed, said. The world moving CPaaS use cases big wayright text messages chatbots.The companys fourthquarter performance underscores bullishness.Net profit cloud communications platform rose 21.85 previous months Rs 104.05 crore quarter ended March 31, according exchange filing. That came revenue increased 2.32 sequentially Rs 1,008.66 crore.Route Mobile Q4 Results: Key Highlights QoQRevenue rises 2.32 Rs 1,008.66 crore.Earnings taxes 7.94 Rs 110.74 crore.EBIT margin 10.97 versus 10.40 quarter.Net profit 21.85 Rs 104.05 crore.For fiscal, Route Mobiles revenue increased 78 yearonyear Rs 3,608.63 crore, net profit nearly doubled Rs 333.11 crore.The company aims sustain earnings momentum threefour years.In past quarter, able reap benefits global CPaaS play have, Badalia said. We halfabillion dollar revenue run rate track achieve billiondollar run rate years.The industry growing certain rate theres reason wouldnt, said.Challenges AheadBut industry set overhaul, advent epochmaking technology generative artificial intelligence.Route Mobile launched Roubota nocode chatbot platform fosters interactions generative AI natural language processing. It integrated payment gateways thirdparty messaging platforms endtoend encryption. The firm integrating lot use cases OpenAIs ChatGPT.Theres matter Amazon Web Services warning cloud adoption.Growth .s lucrative cloud business slowing, company said filings JanuaryMarch earnings, enterprise clients braced turbulence clamped spending. Chief Financial Officer Brian Olsavsky told analysts cloud customers paring cloud bills AprilJune quarter, Amazon helping build longterm relationships. AWS sales growth slowed 15.8 quarter.Definitely, recessionary headwinds globally and, extent, cloud spends reduced, Badalia said. But said that, largestif largestCPaaS players emerging markets, dependent geography growth.The industry witnessing consolidationrevenues getting concentrated large players. Route Mobile aware opportunity trend presents.There definitely white spaces terms product bouquet, look plugging themeither organic inorganic efforts, Badalia said. The U.S. happens weak link portfolio, time tech slowdown, looking inorganic opportunities entry U.S.The inorganic growth funded Route Mobiles coffers, said, sitting net free cash flow excess Rs 70 crore, balance sheet remains healthy. We ammunition pursue acquisition opportunities.Watch The Full Conversation Here:ADVERTISEMENTADVERTISEMENTGet live Stock market updates, Business news, Todays latest news, Trending stories, Videos BQ Prime. access Exclusives.ADVERTISEMENT
| 2,023 |
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https://www.breakinglatest.news/business/how-artificial-intelligence-is-transforming-work/
| 2023-04-06T00:00:00 |
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How artificial intelligence is transforming work-breakinglatest.news-Breaking Latest News
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Home Business How artificial intelligence is transforming work
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How artificial intelligence is transforming work
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April 6, 2023
April 6, 2023
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Compared to previous technological upheavals, the tasks in occupations of highly qualified people can now be partially automated. A recently published study came to the same conclusion. The investigated how large the proportion of tasks in different jobs is that the latest version of ChatGPT could take over.
Also read: This is how ChatGPT controls robots
According to this, the work of every fifth employee in the USA could be supported or even taken over by AI in the future by more than 50 percent. The tasks concerned usually deal with compiling and curating knowledge, which artificial intelligences such as ChatGPT are already mastering. It becomes more difficult for the AI when it comes to making decisions. According to Michael Stops from the Institute for Employment Research (IAB), however, these are essential for most jobs. He emphasizes that people make decisions based on their socialization, ethics and morals – but these are missing from the machine and are difficult to replace.
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How artificial intelligence transforming workbreakinglatest.newsBreaking Latest News Home Business Entertainment Health News Sports World Technology Home Business How artificial intelligence transforming work Business How artificial intelligence transforming work admin April 6, 2023 April 6, 2023 11 Compared previous technological upheavals, tasks occupations highly qualified people partially automated. A recently published study came conclusion. The investigated large proportion tasks different jobs latest version ChatGPT over. Also read: This ChatGPT controls robots According this, work fifth employee USA supported taken AI future 50 percent. The tasks concerned usually deal compiling curating knowledge, artificial intelligences ChatGPT mastering. It difficult AI comes making decisions. According Michael Stops Institute Employment Research IAB, however, essential jobs. He emphasizes people decisions based socialization, ethics morals missing machine difficult replace. Share this:TwitterFacebook Related See Lecture appointmentSix authoritative experts talk ChatGPT: Will generative AI bring small revolution life sciences? 0 comment 0 FacebookTwitterEmail previous post Beautify napkins Easter: 9 simple table decoration ideas post Milorad Dodik Peoples Front Jelena Trivi Info You like Pnrr, Italy deceives EU. Lets plant seeds... April 6, 2023 Buy shares: Pay attention things... April 6, 2023 Oil down, US inventories 3.7 million... April 6, 2023 Reclaiming CS bonuses Peter V. Kunz: The... April 6, 2023 Mergers acquisitions freezing world:... April 6, 2023 Canada investigates OpenAI data security issues April 6, 2023 Esg certification, agreement Frema Iase Italy... April 6, 2023 Onlyfans: Model makes 73,000 month Heres... April 6, 2023 Resolution 4 04032023 Adoption the... April 6, 2023 Von der Leyen Macron Xi: Recently,... April 6, 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 Superbonus, rate calendar: news tax discounts Sky Tg24 From NSI Dilaxia Digital Galaxy Don Tony Cabrales dies unfortunate accident Colombia Sub 17 team loses Chile says goodbye South American CBI supports rider Luca Salvatori MotoE Cbill Sport Marketing News brand Tags1 apple business charm Xian China chronicle cnBeta company competition Contest coronavirus coronavirus disease covid culture Economy engines epidemic Epoch Times Fast Technology finance football game market milan Movie nba news Original news Player promote Xian Riccardo Luna russia salute Xian technology The Epoch Times Ukraine UkraineRussia crisis 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/entertainment/bing-ai-works-for-everyone-image-creators-now-understand-100-languages-including-hindi-venturebeat-the-machine/
| 2023-05-28T00:00:00 |
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Bing AI works for everyone, image creators now understand 100+ languages, including Hindi VentureBeat The Machine - Breaking Latest News
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Bing AI works for everyone, image creators now understand 100+ languages, including Hindi VentureBeat The Machine - Breaking Latest News
Homepage
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Home » Bing AI works for everyone, image creators now understand 100+ languages, including Hindi VentureBeat The Machine
Entertainment
Bing AI works for everyone, image creators now understand 100+ languages, including Hindi VentureBeat The Machine
by admin
May 28, 2023
May 28, 2023
8
guide When Microsoft’s new Bing launched in February, it was initially accused of being crazy and behaving weirdly. From trolling users, to blackmailing them, and even falling in love with some of them, Bing AI started with…
When Microsoft’s new Bing launched in February, it was initially accused of being crazy and behaving weirdly. From trolling users to blackmailing them and even falling in love with some of them, Bing AI initially hit the headlines for all the wrong reasons. However, Microsoft is committed to its artificial intelligence Bing, and today, it has come a long way.
According to the company’s latest blog post, Bing has more than 100 million daily active users. The new Bing can perform a variety of tasks, including helping users search, generate images, provide web page snippets, help people write content, and more. Now, Microsoft is expanding Bing’s capabilities to better serve users.
no more waiting list
Earlier, only selected users could access Bing AI by joining a waitlist. Now, however, users can directly access Bing AI without signing up for any waitlists.
The company announced the same in a new blog post, “Due to the overwhelming amount of customer adoption, engagement, and feedback, we are ready to take the next step and announce that the new Bing is now in open preview and there will be no more Waitlist. This means it’s now easier than ever for everyone to try out the new Bing and Edge, just by signing in to Bing with your Microsoft account.”
Image creator in your language
See also 100 Days of JJ Lin (Introduction to the Basic Details of 100 Days of JJ Lin)_Daguang.comBing is also widely used for its image creation capabilities. The company revealed that Bing image creator has been used to create more than 200 million images. Now, the company is making the AI-powered image generator easier to use by giving it the ability to understand more than a hundred languages, including Hindi.
“We’re expanding Image Creator to all languages in Bing — over 100 languages — so now you can create images in your native language,” reads the company’s blog post.
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Bing AI works for everyone, image creators now understand 100+ languages, including Hindi VentureBeat The Machine
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Bing AI works everyone, image creators understand 100 languages, including Hindi VentureBeat The Machine Breaking Latest News Home News Business Entertainment Health Sports Technology World Home Bing AI works everyone, image creators understand 100 languages, including Hindi VentureBeat The Machine Entertainment Bing AI works everyone, image creators understand 100 languages, including Hindi VentureBeat The Machine admin May 28, 2023 May 28, 2023 8 guide When Microsofts new Bing launched February, initially accused crazy behaving weirdly. From trolling users, blackmailing them, falling love them, Bing AI started When Microsofts new Bing launched February, initially accused crazy behaving weirdly. From trolling users blackmailing falling love them, Bing AI initially hit headlines wrong reasons. However, Microsoft committed artificial intelligence Bing, today, come long way. According companys latest blog post, Bing 100 million daily active users. The new Bing perform variety tasks, including helping users search, generate images, provide web snippets, help people write content, more. Now, Microsoft expanding Bings capabilities better serve users. waiting list Earlier, selected users access Bing AI joining waitlist. Now, however, users directly access Bing AI signing waitlists. The company announced new blog post, Due overwhelming customer adoption, engagement, feedback, ready step announce new Bing open preview Waitlist. This means easier try new Bing Edge, signing Bing Microsoft account. Image creator language See 100 Days JJ Lin Introduction Basic Details 100 Days JJ Lin_Daguang.comBing widely image creation capabilities. The company revealed Bing image creator create 200 million images. Now, company making AIpowered image generator easier use giving ability understand languages, including Hindi. Were expanding Image Creator languages Bing 100 languages create images native language, reads companys blog post. Share this:TwitterFacebook Related Daguangwang 0 comment 0 FacebookTwitterEmail previous post Wang Chuqin, advanced singles final World Table Tennis Championships time, looks forward enjoying stage post UN conference Paris: declaration war plastic waste You like A 29yearold woman died road accident... May 28, 2023 Kala Marka celebrate Andean Amazonian New... May 28, 2023 The major IPs joined forces,... May 28, 2023 dead border clash May 28, 2023 Ukraine says repelled biggest Russian drone... May 28, 2023 Hugo Kogan, genius inventor Magiclick, died... May 28, 2023 Discomfort light work not... May 28, 2023 include agreement... May 28, 2023 Liu Xiaoqings pigtails stunning, Li Guyi... May 28, 2023 sea lion vs conger May 28, 2023 Leave Comment Cancel Reply Save name, email, website browser time I comment. This site uses Akismet reduce spam. Learn comment data processed. Follow Me Follow Me Recent Posts The Little Mermaid: I honored black woman Building path life violence women Colombia Empoli freezes Verona. Giallobl hook Spezia Here Djokovic plays Aleksandar Kovacevic Sports Butti enlists director Key4biz, specialized CDP Open Fiber Tags1 aguazul apple business Casanare charm Xian China chronicle cnBeta company Contest coronavirus coronavirus disease covid culture Economy engines epidemic Epoch Times Fast Technology finance football game market milan monterrey nba news Peace Ariporo Player politics promote Xian Roma russia Xian Tauramena technology The Epoch Times Ukraine UkraineRussia crisis work Xian Xian Daily official website Xian News Network Yopal 2021 Hosted byByohostingMost Recommended Web Hosting complains, abuse, advertising contact:o f f c e Facebook Twitter Instagram Youtube Notice Disclaimer Links Hosted byByohosting Home News Business Entertainment Health Sports Technology World 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/news/blackmailed-with-ai-nudes-apple-removes-microcredit-apps-from-the-app-store-news/
| 2023-07-10T00:00:00 |
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Blackmailed with AI nudes: Apple removes microcredit apps from the App Store | news - Breaking Latest News
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Blackmailed with AI nudes: Apple removes microcredit apps from the App Store | news - Breaking Latest News
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Home » Blackmailed with AI nudes: Apple removes microcredit apps from the App Store | news
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Blackmailed with AI nudes: Apple removes microcredit apps from the App Store | news
by admin
July 10, 2023
July 10, 2023
14
Mon, 8:30 a.m. Apple Services cmkIn India, apps that provide small loans quickly and easily are being used more and more often, and of course there are many such offers in the App Store. The poorer population in particular, who do not have access to credit from regular financial institutions, use such offers. But as usual, there are of course also a lot of black sheep who use unfair methods against customers. A few days ago there were media reports about some such apps – and Apple then wiped them out of the App Store.
Among other things removed the concern OK Rupee, Apple Pocket Kash, White Kash and Golden Kash from the store. In the user reviews of these apps, there are many reports that the operators are blackmailing debtors into repaying them.
Read contact listApparently, these financial apps read the users’ phone book – and intimidated the customers shortly before the loan’s due date: If there is no repayment, the financial service provider threatens to inform all contacts in the user’s address book about the user’s debts and the missing repayment.
AI nude picsBut apparently there is another level of escalation: Artificial intelligence can be used to take deceptively real naked pictures of people quite easily. Some of the user reviews of the now-defunct apps report that customer service threatened to send such AI nude photos of the debtor to all contacts in the address book if payment is not made soon. It is not yet entirely clear how the financial company obtained source image material from the debtor in order to fabricate the AI nude photos: either the photo library was accessed or the borrower had to upload one or more photos as verification when taking out the loan .
Apple: Not a financial institutionHow such apps make it to the App Store remains a mystery. Apple said the app’s makers misrepresented that they were affiliated with a financial institution — which apparently wasn’t the case. How exactly the manufacturers were able to fool Apple in this way will probably remain a secret.
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Blackmailed with AI nudes: Apple removes microcredit apps from the App Store
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Blackmailed AI nudes: Apple removes microcredit apps App Store news Breaking Latest News Home News Business Entertainment Health Sports Technology World Home Blackmailed AI nudes: Apple removes microcredit apps App Store news News Blackmailed AI nudes: Apple removes microcredit apps App Store news admin July 10, 2023 July 10, 2023 14 Mon, 8:30 a.m. Apple Services cmkIn India, apps provide small loans quickly easily often, course offers App Store. The poorer population particular, access credit regular financial institutions, use offers. But usual, course lot black sheep use unfair methods customers. A days ago media reports apps Apple wiped App Store. Among things removed concern OK Rupee, Apple Pocket Kash, White Kash Golden Kash store. In user reviews apps, reports operators blackmailing debtors repaying them. Read contact listApparently, financial apps read users phone book intimidated customers shortly loans date: If repayment, financial service provider threatens inform contacts users address book users debts missing repayment. AI nude picsBut apparently level escalation: Artificial intelligence deceptively real naked pictures people easily. Some user reviews nowdefunct apps report customer service threatened send AI nude photos debtor contacts address book payment soon. It entirely clear financial company obtained source image material debtor order fabricate AI nude photos: photo library accessed borrower upload photos verification taking loan . Apple: Not financial institutionHow apps App Store remains mystery. Apple said apps makers misrepresented affiliated financial institution apparently wasnt case. How exactly manufacturers able fool Apple way probably remain secret. See Four minors died Manab dengue0 0 1 Comment Share this:TwitterFacebook Related 0 comment 0 FacebookTwitterEmail previous post Who stole 1000 luxury watches? And pays damage? post The Truth About Sushi: Is It Really Good Safe Eat Italy? You like They ask Government lower its... July 10, 2023 Voter turnout Mannheim mayor election so... July 10, 2023 Beyonces mother Knowles safe 1 million stolen July 10, 2023 Chongqings Focus Basic Research Key Technologies... July 10, 2023 Economic reinforcement? The new brand dress... July 10, 2023 Severe weather north: damage lightning... July 10, 2023 The result presidential election Uzbekistan... July 10, 2023 The Devastating Impact Fentanyl: Two Survivors Share... July 10, 2023 Attack vehicle belonging Yukpa peoples... July 10, 2023 The caucana guan increased population the... July 10, 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 Time Web Hosting Cosplay Nouvelles Les Actualites Nachrichten Germanic News Noticias Espanol news directory Memesita Breaking Latest News Tele archives news list net archives uk news archyves News today archy news Sport News world news Viral Live Feeds Japan news China Online toys Sales Rusia News Madalina Ghenea Fresh Store Online America mall Book Store Online Follow Me Follow Me World Today Journal Worldys News Daily Weby News USA Le derniere heure Zeit Heute Nachrichten Tiempo antena noticias 247sports American Sports dentist Bacau Forecast Weather Recent Posts Prioritize Your Health Wellbeing Palasiet Thalasso Clinic Hotel Benicasim They ask Government lower security guard Gold Cup: USA Jamaica fly semifinals Football There dead missing floods southern Japan Berlusconi, second funeral Rome. The family enraged FI Ronzulli Tags1 aguazul business Casanare Casanareo charm Xian China chronicle cnBeta Contest coronavirus coronavirus disease covid culture Economy engines epidemic Epoch Times Fast Technology finance football game Llano market milan monterrey nba news orinoquia Peace Ariporo Player politics promote Xian Roma russia Xian Tauramena technology The Epoch Times Ukraine Villanueva Xian Xian Daily official website Xian News Network Yopal 2021 Hosted byByohostingMost Recommended Web Hosting complains, abuse, advertising contact:o f f c e Facebook Twitter Instagram Youtube Notice Disclaimer Links Hosted byByohosting Home News Business Entertainment Health Sports Technology World 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/meta-uses-artificial-intelligence-and-other-technologies-to-allow-the-virtual-portrait-representing-itself-to-have-both-feet-and-lower-body/
| 2022-10-12T00:00:00 |
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Meta uses artificial intelligence and other technologies to allow the virtual portrait representing itself to have both feet and lower body-breakinglatest.news-Breaking Latest News
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Meta uses artificial intelligence and other technologies to allow the virtual portrait representing itself to have both feet and lower body-breakinglatest.news-Breaking Latest News
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Meta uses artificial intelligence and other technologies to allow the virtual portrait representing itself to have both feet and lower body
by admin
October 11, 2022
October 11, 2022
For the design of avatars that represent individuals in virtual reality, Meta said that the next step is to use artificial intelligence to make avatars more realistic and more natural in interaction.
Meta uses artificial intelligence and other technologies to allow the virtual portrait representing itself to have both feet and lower body
Some of the reasons for the poor interactive experience in virtual reality are that the avatar representing the user is too rigid, and it is difficult to truthfully express the user’s real interactive emotions. Most of the virtual portraits in the environment have no feet and lower body parts.
At the Meta Connect 2022 event, Meta CEO Mark Zuckberg further explained that the future virtual portrait design will be combined with more delicate expression presentation. For example, through the facial expression recognition detection function of Quest Pro, virtual reality The virtual portrait in the environment can completely reproduce the user’s expression in the real world, and then express emotions through the expression of the virtual portrait.
Meta uses artificial intelligence and other technologies to allow the virtual portrait representing itself to have both feet and lower body
On the other hand, just like artificial intelligence, deep learning, etc., the arm movements of virtual portraits can become more natural, Meta also uses the same design logic to allow virtual portraits to have feet, and even show lower body movements naturally and smoothly , so that virtual characters can further express their emotions through body movements, or generate different interactions.
See also Apple Watch Series 3 Countdown StartsAs for this design, it will be the first to be applied to the Horizon Worlds platform in 2023, but it will further expand the scope of virtual portrait applications in the future. “Clothing” provided by the real environment.
Meta uses artificial intelligence and other technologies to allow the virtual portrait representing itself to have both feet and lower body
In order to make the interaction in the virtual reality more realistic, Meta has already started to test the different angles and expressions of the individual’s face by taking a selfie with a mobile phone, and the system can perform deep learning, so that it can interact with a more realistic expression in the virtual reality. .
The same technology can even be used to scan real-life objects, and then quickly build a model of the captured object in a virtual reality environment, which will be much more convenient for building a more realistic virtual reality environment.
Meta uses artificial intelligence and other technologies to allow the virtual portrait representing itself to have both feet and lower body
More Mashdigi.com coverage:
Google Cloud enables new C3 virtual machine and Hyperdisk storage design to drive faster cloud service operational response
Google Cloud Next 2022 focuses on digital transformation, driving open infrastructure, cloud collaboration and security
The research team of Nanyang Technological University has created artificial intelligence technology that can automatically generate 3D animation and VR scene content directly with text description
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Meta uses artificial intelligence and other technologies to allow the virtual portrait representing itself to have both feet and lower body-breakinglatest.news-Breaking Latest News
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Meta uses artificial intelligence technologies allow virtual portrait representing feet lower bodybreakinglatest.newsBreaking Latest News Home Business Entertainment Health News Sports World Technology Home Technology Meta uses artificial intelligence technologies allow virtual portrait representing feet lower body Technology Meta uses artificial intelligence technologies allow virtual portrait representing feet lower body admin October 11, 2022 October 11, 2022 For design avatars represent individuals virtual reality, Meta said step use artificial intelligence avatars realistic natural interaction. Meta uses artificial intelligence technologies allow virtual portrait representing feet lower body Some reasons poor interactive experience virtual reality avatar representing user rigid, difficult truthfully express users real interactive emotions. Most virtual portraits environment feet lower body parts. At Meta Connect 2022 event, Meta CEO Mark Zuckberg explained future virtual portrait design combined delicate expression presentation. For example, facial expression recognition detection function Quest Pro, virtual reality The virtual portrait environment completely reproduce users expression real world, express emotions expression virtual portrait. Meta uses artificial intelligence technologies allow virtual portrait representing feet lower body On hand, like artificial intelligence, deep learning, etc., arm movements virtual portraits natural, Meta uses design logic allow virtual portraits feet, lower body movements naturally smoothly , virtual characters express emotions body movements, generate different interactions. See Apple Watch Series 3 Countdown StartsAs design, applied Horizon Worlds platform 2023, expand scope virtual portrait applications future. Clothing provided real environment. Meta uses artificial intelligence technologies allow virtual portrait representing feet lower body In order interaction virtual reality realistic, Meta started test different angles expressions individuals face taking selfie mobile phone, perform deep learning, interact realistic expression virtual reality. . The technology scan reallife objects, quickly build model captured object virtual reality environment, convenient building realistic virtual reality environment. Meta uses artificial intelligence technologies allow virtual portrait representing feet lower body More coverage: Google Cloud enables new C3 virtual machine Hyperdisk storage design drive faster cloud service operational response Google Cloud Next 2022 focuses digital transformation, driving open infrastructure, cloud collaboration security The research team Nanyang Technological University created artificial intelligence technology automatically generate 3D animation VR scene content directly text description Share this:TwitterFacebook Related 0 comment 0 FacebookTwitterEmail previous post India fighting antibiotic resistance kills 60,000 babies year breaking latest news post Agnelli: I ashamed angry Allegri Juventus coach yqqlm You like The Kenko White Mist NO.1 white fog filter... October 12, 2022 TakeTwo boss says Microsofts acquisition Activision Blizzard... October 11, 2022 Here Meta Quest Pro, VR... October 11, 2022 Zuckerbergs announcement: In metaverse also... 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https://www.bucksherald.co.uk/read-this/spotify-ai-dj-how-to-get-the-new-feature-in-the-uk-and-how-does-it-works-4167479
| 2023-06-02T00:00:00 |
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Spotify AI DJ - how new feature works and what is does | Bucks Herald
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Spotify AI DJ - how new feature works and what is does | Bucks Herald
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Read ThisSpotify AI DJ: How to get the new feature in the UK and how does it worksSpotify users can now discover new music in an interesting way with the platform’s AI DJ feature.By Ayaan AliPublished 2nd Jun 2023, 12:12 BST- 1 min readUpdated 2nd Jun 2023, 12:17 BST
Popular music streaming platform Spotify has introduced a new personalised feature for its app users with the launch of AI DJ.In the UK and Ireland, app users are now able to explore music in an exciting new way as the feature curates a line-up of tunes for music lovers as well as providing commentary around recommended tracks and artists.AdvertisementAdvertisementAccording to Spotify, the AI DJ “knows you and your music taste so well that it can choose what to play for you”, making it the perfect tool to pick your next favourite tune. A spokesperson for the music app said: “It will sort through the latest music and look back at some of your old favourites – maybe even resurfacing that song you haven’t listened to for years.Most Popular“It will then review what you might enjoy and deliver a stream of songs picked just for you. And what’s more, it constantly refreshes the line-up based on your feedback.But how does it all work? Here’s everything you need to know.Spotify AI DJ: How does it work?AdvertisementAdvertisementSpotify users are able to begin using the AI feature by simply tapping on the DJ card on the app. The more you interact with it, the better it will get at recommending music.If you’re not enjoying what it is giving you, you can just tap the DJ button to switch it up.How to find the Spotify AI DJ:Head to your Music Feed on Home in the Spotify mobile app on your iOS or Android deviceTap Play on the DJ cardHit the DJ button at the bottom right of the screen to be taken to a different genre, artist or moodRelated topics:MusicSpotify
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Spotify AI DJ
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Spotify AI DJ new feature works Bucks Herald News trust 1832 Sign Welcome backEdit AccountSign OutMy AccountSign OutNationalWorldTV Cost living: Households urged cash 130 million unused energy vouchers deadline soon Carr Mill Dam incident: Body 15yearold girl lake huge search Merseyside PoliceNewsTraffic TravelCrimeWeatherPoliticsBusinessEducationHealthPeopleRead ThisSubmit Your StorySportFootballOther SportWhats OnArts EntertainmentThings To DoLifestyleCarsHomes GardensAdvertiseAdvertise My BusinessAd Manager BREAKING Police provide update deaths boy 17 girl 12 beach Alison Hammond breaks tears This Morning Bournemouth beach deaths: Boat impounded police Police investigation launched man woman dead shed Body 15yearold lake massive police search Girl, 12 boy, 17 die following major incident beach Read ThisSpotify AI DJ: How new feature UK worksSpotify users discover new music interesting way platforms AI DJ feature.By Ayaan AliPublished 2nd Jun 2023, 12:12 BST 1 min readUpdated 2nd Jun 2023, 12:17 BST Popular music streaming platform Spotify introduced new personalised feature app users launch AI DJ.In UK Ireland, app users able explore music exciting new way feature curates lineup tunes music lovers providing commentary recommended tracks artists.AdvertisementAdvertisementAccording Spotify, AI DJ knows music taste choose play you, making perfect tool pick favourite tune. A spokesperson music app said: It sort latest music look old favourites maybe resurfacing song havent listened years.Most PopularIt review enjoy deliver stream songs picked you. And whats more, constantly refreshes lineup based feedback.But work? Heres need know.Spotify AI DJ: How work?AdvertisementAdvertisementSpotify users able begin AI feature simply tapping DJ card app. The interact it, better recommending music.If youre enjoying giving you, tap DJ button switch up.How Spotify AI DJ:Head Music Feed Home Spotify mobile app iOS Android deviceTap Play DJ cardHit DJ button right screen taken different genre, artist moodRelated topics:MusicSpotify Sign daily newsletterSign upThis site protected reCAPTCHA Google Privacy Notice apply.Sign daily newsletterSign upThis site protected reCAPTCHA Google Privacy Notice apply. This website associated newspaper members Independent Press Standards Organisation IPSOFollow ExploreNewsSportWhats OnLifestyleMore The Bucks HeraldAnnouncementsJobsPublic NoticesMust ReadPhoto SalesDirectoryNewspaper ArchiveUseful Links UsAdvertise My BusinessAd ManagerPlace AdSubmit storyAdvertise JobEventsNewsletterArchivePublisher GuidelinesNational World Gaming National World Publishing Ltd. . SettingsPrivacy noticeModern Slavery StatementNews trust 1832Sign Welcome backEdit AccountSign OutMy AccountSign OutNationalWorldTVNews NewsTraffic TravelCrimeWeatherPoliticsBusinessEducationHealthPeopleRead ThisSport SportFootballOther SportWhats On Whats OnArts EntertainmentThings To DoSubmit Your StoryLifestyle LifestyleCarsHomes GardensMust ReadAdvertise AdvertiseAdvertise My BusinessAd ManagerPublic NoticesNational World GamingFollow Sign daily newsletterSign upThis site protected reCAPTCHA Google Privacy Notice apply.
| 2,023 |
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https://www.business-standard.com/amp/technology/tech-news/artificial-imposter-how-ai-technology-fuelling-rise-in-online-voice-scams-123050100626_1.html
| 2023-05-01T00:00:00 |
en
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Artificial imposter: How AI technology fuelling rise in online voice scams
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Artificial imposter: How AI technology fuelling rise in online voice scamsTop SectionHomeEconomyCompaniesFinancePersonal FinanceTechnologyWorld NewsE-paperToday's PaperLatest NewsMarketOpinionIndia NewsIndustryAutoBankingSMEAgricultureOther NewsSportsCricketOther NewsMultimediaThe Morning ShowThe Banking ShowVideo GalleryPhoto GalleryPodcastPortfolioSpecialsPartner ContentManagementLifestyleEntertainmentSocial ViralHealthBooksEducationBS AppsExplore Business StandardAbout UsSupport & ContactBS ProductCopyrights © 2023 Business Standard Private Ltd. All rights reserved Popular Searchesacquiresntaneet nic inmarkets-bs-fund-managerplus one result 2019manipursearchIn this sectionsteelmsbshserefugeeHome E-paper Market Opinion India News Industry Sports Multimedia Portfolio Specials Partner Content Management Lifestyle Entertainment Social Viral Health Books Education BS Apps Home / Technology / Tech News / Artificial imposter: How AI technology fuelling rise in online voice scamsArtificial imposter: How AI technology fuelling rise in online voice scamsThe artificial intelligence survey was conducted by MSI Research via an online questionnaire between April 13 and April 19, 2023 among a sample of 7,054 adults aged 18 and over from seven countriesShivani ShindeArtificial imposter: How AI technology fuelling rise in online voice scams3 min read Last Updated : May 01 2023 | 4:30 PM ISTFollow UsListen to This Article AI has already changed the game for cybercriminals. The barrier to entry has never been lower, which means it has never been easier to commit cybercrime. According to a research by McAfee's upcoming report, ‘The Artificial Imposter’, reveals how AI technology is fuelling a rise in online voice scams. McAfee’s researchers discovered that they had no trouble replicating accents from around the world, whether they were from the US, UK, India or Australia, but more distinctive voices were more challenging to copy. Excerpts from the report on India. Experience of voice scams • 47% of Indians know someone or have themselves been subject to AI voice scams - This is highest in India – almost double of global avg 25% • 20% of Indians have not heard of AI Voice Scams • 83% of Indian victims said they had a loss of money • Of which with 48% losing over INR 50,000 and 35% lost under INR 50,000 cybercriminals cloning AI voice Availability of audio / voice • 86% of Indian adults sharing their voice data online or in recorded notes at least once a week (via social media, voice notes and more. • 43% of Indians have shared something online that includes voice 1-2 times a week. Scenarios • 69% said they would respond and send money if they received a voicemail or voice note from a loved one or friend who said they been in a car accident / had car issue and needed help • 70% would do the same if the voice note said they had been robbed and needed help. • 65% if the person had lost their phone and wallet. • 62% said they would if the person said they were travelling abroad and needed help. • 39% said they would if the person said they were locked out of their online banking account and needed account code to login. Telling the difference between real and fake More than half (69%) of Indians think they don’t know or cannot tell the difference between AI voice and real voice. • 38% of Indians think they cannot tell the difference between AI voice and real voice. • 31% of Indians do not know if they can tell the difference between AI voice and real voice. • 31% of Indians think they can tell the difference between AI voice and real voice. The artificial intelligence survey was conducted by MSI Research via an online questionnaire between April 13 and April 19, 2023 among a sample of 7,054 adults aged 18 and over from seven countries. The sample size and date the survey was completed per country is as follows: 1,009 respondents in the US; 1,009 respondents in the UK; 1,007 respondents in France; 1,007 respondents in Germany; 1,004 respondents in Japan; 1,008 respondents in Australia; 1,010 respondents in India.Also ReadGoogle-backed startup unveils multilingual voice search technologyUnion Budget 2023: Centre bets big on Artificial Intelligence, IoTNot afraid of recession, demand for automation will go up: Verint CEOHow can you protect your bank account from cyber attacks?Why have fake reviews on e-commerce sites become rampant?'Godfather of AI' quits Google to warn about technology's dangersAI chatbots have been used to create dozens of news content farmsInstagram will soon let users add songs in photo carousel: Details hereWhatsApp to do away with Google Drive dependence for backups, see details90% IT decision-makers admit to reusing passwords at work: ReportTopics :Artificial intelligenceScamsCyber fraudFirst Published: May 02 2023 | 12:12 AM ISTExplore NewsIPL 2023Narendra ModiAmit ShahRahul GandhiYogi AdityanathISROBJPNitin GadkariCoronavirus UpdateWorld Economic ForumCOVID-19View MorePM holds Covid meeting amid renewed concerns, says 'pandemic far from over'Serum Institute tops profit charts among unlisted firms amid Covid warPersonal FinanceView MorePersonal finance 101 from an industry veteranIntroduce personal finance lessons in college: BJP MP in ParliamentVirtual RealityView MoreMeta now allows Quest users to tap, swipe in VR without controllersMeta to acquire VR startup 'Within' after favourable court rulingEnvironmentView MoreHimanta Biswa Sarma launches Mission Lifestyle for Environment in AssamSerious failure of Jharkhand to prevent environmental lawlessness, says NGTNext StoryFROM BS WEBSITE Home Companies Markets Opinion India News Technology Personal Finance Income Tax Calculator Latest News Education Partner Content Specials Today's Paper Author
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Artificial imposter: How AI technology fuelling rise in online voice scams
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Artificial imposter: How AI technology fuelling rise online voice scamsTop SectionHomeEconomyCompaniesFinancePersonal FinanceTechnologyWorld NewsEpaperTodays PaperLatest NewsMarketOpinionIndia NewsIndustryAutoBankingSMEAgricultureOther NewsSportsCricketOther NewsMultimediaThe Morning ShowThe Banking ShowVideo GalleryPhoto GalleryPodcastPortfolioSpecialsPartner ContentManagementLifestyleEntertainmentSocial ViralHealthBooksEducationBS AppsExplore Business StandardSupport BS Products 2023 Business Standard Private Ltd. Popular esacquiresntaneet nic inmarketsbsfundmanagerplus result 2019manipursearchIn sectionsteelmsbshserefugeeHome Epaper Market Opinion India News Industry Sports Multimedia Portfolio Specials Partner Content Management Lifestyle Entertainment Social Viral Health Books Education BS Apps Home Technology Tech News Artificial imposter: How AI technology fuelling rise online voice scamsArtificial imposter: How AI technology fuelling rise online voice scamsThe artificial intelligence survey conducted MSI Research online questionnaire April 13 April 19, 2023 sample 7,054 adults aged 18 seven countriesShivani ShindeArtificial imposter: How AI technology fuelling rise online voice scams3 min read Last Updated : May 01 2023 4:30 PM ISTListen This Article AI changed game cybercriminals. The barrier entry lower, means easier commit cybercrime. According research McAfees upcoming report, The Artificial Imposter, reveals AI technology fuelling rise online voice scams. McAfees researchers discovered trouble replicating accents world, US, UK, India Australia, distinctive voices challenging copy. Excerpts report India. Experience voice scams 47 Indians know subject AI voice scams This highest India double global avg 25 20 Indians heard AI Voice Scams 83 Indian victims said loss money Of 48 losing INR 50,000 35 lost INR 50,000 cybercriminals cloning AI voice Availability audio voice 86 Indian adults sharing voice data online recorded notes week social media, voice notes more. 43 Indians shared online includes voice 12 times week. Scenarios 69 said respond send money received voicemail voice note loved friend said car accident car issue needed help 70 voice note said robbed needed help. 65 person lost phone wallet. 62 said person said travelling abroad needed help. 39 said person said locked online banking account needed account code login. Telling difference real fake More half 69 Indians think dont know tell difference AI voice real voice. 38 Indians think tell difference AI voice real voice. 31 Indians know tell difference AI voice real voice. 31 Indians think tell difference AI voice real voice. The artificial intelligence survey conducted MSI Research online questionnaire April 13 April 19, 2023 sample 7,054 adults aged 18 seven countries. The sample size date survey completed country follows: 1,009 respondents US; 1,009 respondents UK; 1,007 respondents France; 1,007 respondents Germany; 1,004 respondents Japan; 1,008 respondents Australia; 1,010 respondents India.Also ReadGooglebacked startup unveils multilingual voice search technologyUnion Budget 2023: Centre bets big Artificial Intelligence, IoTNot afraid recession, demand automation up: Verint CEOHow protect bank account cyber attacks?Why fake reviews ecommerce sites rampant?Godfather AI quits Google warn technologys dangersAI chatbots create dozens news content farmsInstagram soon let users add songs photo carousel: Details hereWhatsApp away Google Drive dependence backups, details90 IT decisionmakers admit reusing passwords work: ReportTopics :Artificial intelligenceScamsCyber fraudFirst Published: May 02 2023 12:12 AM ISTExplore NewsIPL 2023Narendra ModiAmit ShahRahul GandhiYogi AdityanathISROBJPNitin GadkariCoronavirus UpdateWorld Economic ForumCOVID19View MorePM holds Covid meeting amid renewed concerns, says pandemic far overSerum Institute tops profit charts unlisted firms amid Covid warPersonal FinanceView MorePersonal finance 101 industry veteranIntroduce personal finance lessons college: BJP MP ParliamentVirtual RealityView MoreMeta allows Quest users tap, swipe VR controllersMeta acquire VR startup Within favourable court rulingEnvironmentView MoreHimanta Biswa Sarma launches Mission Lifestyle Environment AssamSerious failure Jharkhand prevent environmental lawlessness, says NGTNext StoryFROM BS WEBSITE Home Companies Markets Opinion India News Technology Personal Finance ome Tax Calculator Latest News Education Partner Content Specials Todays Paper Author
| 2,023 |
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https://www.business-standard.com/article/technology/google-to-host-event-about-artificial-intelligence-on-february-8-123020300870_1.html
| 2023-02-03T00:00:00 |
en
|
Google to host event about artificial intelligence on February 8 | Business Standard News
|
Google to host event about artificial intelligence on February 8 | Business Standard News
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Google to host event about artificial intelligence on February 8
The 40-minute event will be streamed on YouTube
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Last Updated at February 3, 2023 15:34 IST
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Google will host an event on February 8 in which it will share about its work in artificial intelligence (AI).
The company will share how it is "using the power of AI to reimagine how people search for, explore and interact with information, making it more natural and intuitive than ever before to find what you need", according to an invite sent to The Verge.
The 40-minute event will be streamed on YouTube.
The report further mentioned that the invitation contains references to Google Lens, Translate, Shopping and Maps.
Earlier this week, it was reported that the tech giant was testing ChatGPT-like products, which will use its LaMDA (Language Model for Dialogue Applications) technology.
Under new AI-powered chat products, the company was testing a chatbot called "Apprentice Bard", with which users can ask questions and receive detailed answers similar to ChatGPT, also a new search desktop design that could be used in a question-and-answer form.
--IANS
aj/ksk/(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
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First Published: Fri, February 03 2023. 15:34 IST
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Google to host event about artificial intelligence on February 8
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Google host event artificial intelligence February 8 Business Standard News Home Todays Paper Latest News Economy Finance Current Affairs International Management Strategist Weekend Data Stories BS Reads Markets News Stocks Commodities IPOs Mutual Funds Mutual Fund Tools Derivatives BS Fund Manager Companies News Results Financial XRay Auto Engineering Financials Infra IT Oil Gas Telecom Services All Sectors Opinion Editorial Comment Columnists BS Special Business Law Tax Lunch Poll Specials Mental Health PEVC SME B2B Connect Sponsored Content Tech News Reviews Launches Specials PF News Features Investments Loans Credit Cards Tax Insurance Financial Tools Portfolio BS SHOWS The Morning Show The Banking Show Budget BS Sports Hockey WC 2023 Budget Budget BS Auto Expo 2023 BS Apps iPad iPhone Andriod Wap BS Products BS Hindi BS Motoring BS Books Todays Paper BS EPaper Bs Learning Hi , Change Password My Page Sign English Hindi Home Todays Paper Latest News Economy Finance Current Affairs International Management Strategist Weekend Data Stories BS Reads Markets News Stocks Commodities IPOs Mutual Funds Mutual Fund Tools Derivatives BS Fund Manager Companies News Results Financial XRay Auto Engineering Financials Infra IT Oil Gas Telecom Services All Sectors Opinion Editorial Comment Columnists BS Special Business Law Tax Lunch Poll Specials Mental Health PEVC SME B2B Connect Sponsored Content Tech News Reviews Launches Specials PF News Features Investments Loans Credit Cards Tax Insurance Financial Tools Portfolio BS SHOWS The Morning Show The Banking Show Budget BS Sports Hockey WC 2023 Budget Budget BS Auto Expo 2023 JUST IN Google host event artificial intelligence February 8 Twitter expands Blue subscription service 6 countries: Reports YouTube Shorts averaging 50 bn daily views: Sundar Pichai Apple sets alltime sales record India, retail store soon: Tim Cook NoiseFit Force smartwatch Bluetooth calling feature launched: Details Googles parent Alphabet reports 76 bn revenue, bets big AI Apple predicts drop Q2 revenue, indicates iPhone production crisis Apple logs 65.8 bn iPhone revenue China disruptions hit supply Apple, Google urged remove TikTok app stores US Senator Metaowned WhatsApp soon let users pin messages chats, group You here: Home Technology News Twitter expands Blue subscription service 6 countries: Reports Business Standard Google host event artificial intelligence February 8 The 40minute event streamed YouTube Topics GoogleArtificial intelligenceTechnology IANS San Francisco Last Updated February 3, 2023 15:34 IST Follow email article Message: Recipients Email: Type address separated commas Your Email: Enter characters shown image. Send copy: Google ALSO READ Google rolls Chrome update Android tablets new features Centre warns multiple bugs Google Chrome desktop users Google Chrome updates undergo layer testing release YouTube announces new ways creators money Shorts Google Chrome gets price tracker, panel search, more: Details Google host event February 8 share work artificial intelligence AI. The company share power AI reimagine people search for, explore interact information, making natural intuitive need, according invite sent The Verge. The 40minute event streamed YouTube. The report mentioned invitation contains references Google Lens, Translate, Shopping Maps. Earlier week, reported tech giant testing ChatGPTlike products, use LaMDA Language Model Dialogue Applications technology. Under new AIpowered chat products, company testing chatbot called Apprentice Bard, users ask questions receive detailed answers similar ChatGPT, new search desktop design questionandanswer form. IANS ajkskOnly headline picture report reworked Business Standard staff; rest content autogenerated syndicated feed. Business Standard Premium Exclusive Stories, Curated Newsletters, 26 years Archives, Epaper, Invalid email. Please include email address Insightful news, sharp views, newsletters, epaper, Unlock incisive commentary Business Standard. Download Business Standard App latest Business News Market News . Read coverage Google First Published: Fri, February 03 2023. 15:34 IST Read More On Google Artificial Intelligence Technology RECOMMENDED FOR YOU RECOMMENDED FOR YOU BROWSE STOCK COMPANIES A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 1 2 3 4 5 6 7 8 9 TRENDING NOW Sensex Nifty Adani Board Cancels FPO Latest News Live Updates SBI Adani Group Samsung Galaxy S23 Series Stocks Watch Indian Rupee ome Tax Slab Fy 202324 Gold Prices Gautam Adani TOP SEARCHED COMPANIES RIL Share Price TCS Share Price HDFC Bank Share Price Infosys Share Price ICICI Bank Share Price Tata Steel Share Price Wipro Share Price Tata Motors Share Price Adani Enterprises Share Price SBI Share Price Bharti Airtel Share Price ITC Share Price FROM BS WEBSITE Home Companies Markets Opinion Politics Technology Specials Personal Finance Latest News Todays Paper Events Author Education ome Tax Calculator ABOUT US Code Conduct Terms Conditions Policy Disclaimer Investor Communication Compliance List GST registration number SUPPORT CONTACT Partner Us Careers Advertise Us Us Feedback Browser Support Sitemap READER CENTRE Assistance EPaper Manage My Account My Page Portfolio Registration Custom Payment BS PRODUCTS BS Hindi BS Motoring BS Books B2B Connect iPhone iPad android Mobile Browser EVENT Budget Budget BS BFSI Summit My Budget SPORTS Mens Hockey World Cup 2023 India vs New Zealand Series Pro Kabaddi League 2023 Business Standard Private Ltd. 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