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https://prnewsleader.com/uncategorized/1401952/time-expense-software-market-2020-2026-comprehensive-study-covid19-impact-analysis-worldwide-key-players-bigtime-bqe-core-netsuite-openair-unanet-nexonia-expense-etc-inforgrowth/
| 2020-10-31T00:00:00 |
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Time Expense Software Market 2020-2026 | Comprehensive Study COVID19 Impact Analysis | Worldwide Key Players: BigTime, BQE Core, NetSuite OpenAir, Unanet, Nexonia Expense, etc. | InForGrowth – PRnews Leader
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Time Expense Software Market 2020-2026 | Comprehensive Study COVID19 Impact Analysis | Worldwide Key Players: BigTime, BQE Core, NetSuite OpenAir, Unanet, Nexonia Expense, etc. | InForGrowth – PRnews Leader
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Time Expense Software Market 2020-2026 | Comprehensive Study COVID19 Impact Analysis | Worldwide Key Players: BigTime, BQE Core, NetSuite OpenAir, Unanet, Nexonia Expense, etc. | InForGrowth
Post author
By basavraj.t
Post date
October 31, 2020
InForGrowth has added Latest Research Report on Time Expense Software Market 2020 Future Growth Opportunities, Development Trends, and Forecast 2026. The Global Time Expense Software Market market report cover an overview of the segments and sub-segmentations including the product types, applications, companies & regions. This report describes overall Time Expense Software Market size by analyzing historical data and future projections.
The report features unique and relevant factors that are likely to have a significant impact on the Time Expense Software market during the forecast period. This report also includes the COVID-19 pandemic impact analysis on the Time Expense Software market. This report includes a detailed and considerable amount of information, which will help new providers in the most comprehensive manner for better understanding. The report elaborates the historical and current trends molding the growth of the Time Expense Software market
Get Exclusive Sample Report on Time Expense Software Market is available at https://inforgrowth.com/sample-request/6479626/time-expense-software-market
Market Segmentation:
The segmentation of the Time Expense Software market has been offered on the basis of product type, application, Major Key Players and region. Every segment has been analyzed in detail, and data pertaining to the growth of each segment has been included in the analysis
Top Players Listed in the Time Expense Software Market Report are
BigTime
BQE Core
NetSuite OpenAir
Unanet
Nexonia Expense
Timesheets
Harvest
Hubstaff
Timogix
Jibble.
Based on type, report split into
Cloud-based
On-Premise.
Based on Application Time Expense Software market is segmented into
Application A
Application B
Application C.
HALLOWEEN OFFER: Get up-to 30% Extra Discount for this Exclusive Gene Synthesis Service Market Report,;https://inforgrowth.com/discount/6479626/time-expense-software-market
Impact of COVID-19: Time Expense Software Market report analyses the impact of Coronavirus (COVID-19) on the Time Expense Software industry. Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Time Expense Software market in 2020
COVID-19 can affect the global economy in 3 main ways: by directly affecting production and demand, by creating supply chain and market disturbance, and by its financial impact on firms and financial markets.
Get the Sample ToC to understand the CORONA Virus/COVID19 impact and be smart in redefining business strategies. https://inforgrowth.com/CovidImpact-Request/6479626/time-expense-software-market
Industrial Analysis of Time Expense Software Market:
Time Expense Software Market: Key Questions Answered in Report
The research study on the Time Expense Software market offers inclusive insights about the growth of the market in the most comprehensible manner for a better understanding of users. Insights offered in the Time Expense Software market report answer some of the most prominent questions that assist the stakeholders in measuring all the emerging possibilities.
How has the rapidly changing business environment turned into a major growth engine for the Time Expense Software market?
What are the underlying macroeconomic factors impacting the growth of the Time Expense Software market?
What are the key trends that are constantly shaping the growth of the Time Expense Software market?
Which are the prominent regions offering plentiful opportunities for the Time Expense Software market?
What are the key differential strategies adopted by key players to command a significant chunk of the global market share?
How is the COVID-19 pandemic impacting the global Time Expense Software market?
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Time Expense Software Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: BigTime, BQE Core, NetSuite OpenAir, Unanet, Nexonia Expense, etc. InForGrowth PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News Time Expense Software Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: BigTime, BQE Core, NetSuite OpenAir, Unanet, Nexonia Expense, etc. InForGrowth Post author By basavraj.t Post date October 31, 2020 InForGrowth added Latest Research Report Time Expense Software Market 2020 Future Growth Opportunities, Development Trends, Forecast 2026. The Global Time Expense Software Market market report cover overview segments subsegmentations including product types, applications, companies regions. This report describes overall Time Expense Software Market size analyzing historical data future projections. The report features unique relevant factors likely significant impact Time Expense Software market forecast period. This report includes COVID19 pandemic impact analysis Time Expense Software market. This report includes detailed considerable information, help new providers comprehensive manner better understanding. The report elaborates historical current trends molding growth Time Expense Software market Get Exclusive Sample Report Time Expense Software Market available Market Segmentation: The segmentation Time Expense Software market offered basis product type, application, Major Key Players region. Every segment analyzed detail, data pertaining growth segment included analysis Top Players Listed Time Expense Software Market Report BigTime BQE Core NetSuite OpenAir Unanet Nexonia Expense Timesheets Harvest Hubstaff Timogix Jibble. Based type, report split Cloudbased OnPremise. Based Application Time Expense Software market segmented Application A Application B Application C. HALLOWEEN OFFER: Get upto 30 Extra Discount Exclusive Gene Synthesis Service Market Report,; Impact COVID19: Time Expense Software Market report analyses impact Coronavirus COVID19 Time Expense Software industry. Since COVID19 virus outbreak December 2019, disease spread 180 countries globe World Health Organization declaring public health emergency. The global impacts coronavirus disease 2019 COVID19 starting felt, significantly affect Time Expense Software market 2020 COVID19 affect global economy 3 main ways: directly affecting production demand, creating supply chain market disturbance, financial impact firms financial markets. Get Sample ToC understand CORONA VirusCOVID19 impact smart redefining business strategies. Industrial Analysis Time Expense Software Market: Time Expense SoftwareMarket: Key Questions Answered Report The research study Time Expense Softwaremarket offers inclusive insights growth market comprehensible manner better understanding users. Insights offered Time Expense Softwaremarket report answer prominent questions assist stakeholders measuring emerging possibilities. How rapidly changing business environment turned major growth engine Time Expense Software market? What underlying macroeconomic factors impacting growth Time Expense Software market? What key trends constantly shaping growth Time Expense Software market? Which prominent regions offering plentiful opportunities Time Expense Software market? What key differential strategies adopted key players command significant chunk global market share? How COVID19 pandemic impacting global Time Expense Software market? FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT: Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S. Email:[emailprotected] Phone: 19093292808 UK: 44 203 743 1898 Tags Time Expense Software, Time Expense Software Industry, Time Expense Software Market Global NonEssential Amino Acids Market Size Share, Manufacture Development Analysis forecast 20202026 Global Dental Practice Management Market 2020 Analysis Latest COVID19CORONA Virus Impact Market Positioning Key Vendors: ACE Dental, PracticeWeb Dental, Dentrix, Tab32, Denticon, etc. InForGrowth for: Recent Posts Global Automotive Seat Climate Systems Market Size, Share Trends Analysis Report 20202027 Comprehensive Report Contrast MediaContrast Agents Market 2020 Size, Growth, Demand, Opportunities Forecast To 2026 Guerbet Group, Bayer AG, Daiichi Sankyo, CMC Contrast AB, Subhra Pharma Private Limited How Corona Pandemic impact Automotive Tire Socks market business opportunity, growth 20202024 Communication Device Market Trends 2020 Growth COVID19 Imapct Analysis Top Companies: Apple, SONY SONY Mobile Communications, Sharp Global Automotive Safety Systems Market : Industry Analysis Forecast 20192026 Type, Application, Region Archives October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 Categories All News Coronavirus Energy News Space Meta Log Entries feed Comments feed 2020 PRnews Leader Powered WordPress To Up
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https://prnewsleader.com/uncategorized/420441/artificial-intelligence-ai-in-drug-discovery-market-outlook-2020-covid-19-impact-analysis-development-trends-market-demands-industry-analysis-forecast-by-2027/
| 2020-10-14T00:00:00 |
en
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Artificial Intelligence (AI) in Drug Discovery Market Outlook 2020 (COVID 19 Impact Analysis)| Development Trends, Market Demands, Industry Analysis & Forecast by 2027 – PRnews Leader
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Artificial Intelligence (AI) in Drug Discovery Market Outlook 2020 (COVID 19 Impact Analysis)| Development Trends, Market Demands, Industry Analysis & Forecast by 2027 – PRnews Leader
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Artificial Intelligence (AI) in Drug Discovery Market Outlook 2020 (COVID 19 Impact Analysis)| Development Trends, Market Demands, Industry Analysis & Forecast by 2027
Post author
By Data Bridge Market Research
Post date
October 14, 2020
No Comments on Artificial Intelligence (AI) in Drug Discovery Market Outlook 2020 (COVID 19 Impact Analysis)| Development Trends, Market Demands, Industry Analysis & Forecast by 2027
A most recent review on Artificial Intelligence (AI) in Drug Discovery Market is led covering different associations of the business from various topographies to think of 100+ page report. The examination is an ideal blend of subjective and quantitative data featuring key market improvements, challenges that industry and rivalry is looking alongside whole investigation and new open door accessible and may slant in Artificial Intelligence (AI) in Drug Discovery Market showcase. The report connects the authentic information from 2013 to 2018 and anticipated till 2027*. Market analysis included here gives an examination of various segments that are relied upon to witness the fastest development amid the estimate forecast frame. And not to mention, before giving it to the end users, all this information is assessed and validated by the market experts.
Artificial intelligence (AI) in drug discovery market is expected to gain market growth in the forecast period of 2020 to 2027. Data Bridge Market Research analyses the market to account to USD 3,932.87 million by 2027 growing at a CAGR of 40.5% in the above-mentioned forecast period. The growing awareness amongst the physicians and patients regarding the benefits of artificial intelligence has been directly impacting the growth of the market.
MAjor Player
The major players covered in the artificial intelligence (AI) in drug discovery market report are Microsoft, NVIDIA Corporation, IBM Corporation, Atomwise, Inc., DEEP GENOMICS, Cloud Pharmaceuticals, Inc., Insilico Medicine, BenevolentAI Ltd, Exscientia, Cyclica Inc., Numerate, NuMedii, Inc., Envisagenics., twoXAR, Incorporated, OWKIN, INC., XtalPi Inc., BERG LLC, among other domestic and global players. Market share data is available for Global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Get Sample Report + All Related Graphs & Charts @https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market&pm
Competitive Landscape and Artificial Intelligence (AI) in Drug Discovery Market Share Analysis
Artificial intelligence (AI) in drug discovery market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to artificial intelligence (AI) in drug discovery market.
Global Artificial Intelligence (AI) in Drug Discovery Market By Offering (Software, Services), Technology (Machine Learning, Other Technologies), Drug Type (Small Molecule, Large Molecules), Application (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications), End-User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centres and Academic & Government Institutes), Country (U.S., Canada, Mexico, Germany, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia- Pacific, Brazil, Argentina, Rest of South America, South Africa, Saudi Arabia, UAE, Egypt, Israel, Rest of Middle East & Africa), Market Trends and Forecast to 2027
Increasing need to reduce cost and drug discovery along with reduce time, growth of pharmaceutical industries by collaborations with other industries, adoption of cloud based services and applications, delay in patent expiry are some of the factors that will enhance the growth of artificial intelligence (AI) in drug discovery market in the forecast period of 2020-2027. On the other hand, expansion of biotechnology industries will further create new and ample opportunities for the growth of artificial intelligence (AI) in drug discovery market in the above mentioned forecast period.
Unavailability of skilled labour and lack of data sets are acting as market challenges for the growth of artificial intelligence (AI) in drug discovery in the above mentioned forecast period.
This artificial intelligence (AI) in drug discovery market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on artificial intelligence (AI) in drug discovery market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Artificial Intelligence (AI) in Drug Discovery Market Scope and Market Size
Artificial intelligence (AI) in drug discovery market is segmented on the basis of offering, technology, drug type, application and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.
Based on offering, artificial intelligence (AI) in drug discovery market is segmented into software and services.
On the basis of technology, artificial intelligence (AI) in drug discovery market is segmented into machine learning and other technologies. Machine learning has been further segmented into deep learning, supervised learning, reinforcement learning, unsupervised learning and other machine learning technologies.
Based on drug type, artificial intelligence (AI) in drug discovery market is segmented into small molecule and large molecules.
On the basis of application, artificial intelligence (AI) in drug discovery market is segmented into immuno-oncology, neurodegenerative diseases, cardiovascular disease, metabolic diseases and other applications.
Artificial intelligence (AI) in drug discovery market has also been segmented based on the end user into pharmaceutical & biotechnology companies, contract research organizations, research centres and academic & government institutes.
Grab Your Report at an Impressive 30% Discount! Please click Here @https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market&pm
Artificial Intelligence (AI) in Drug Discovery Market Country Level Analysis
Artificial intelligence (AI) in drug discovery market is analysed and market size insights and trends are provided by country, offering, technology, drug type, applications and end user as referenced above.
The countries covered in the artificial intelligence (AI) in drug discovery market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the artificial intelligence (AI) in drug discovery market due to the high prevalence of pharmaceutical companies, increasing research activities.
The country section of the artificial intelligence (AI) in drug discovery market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
For More Insights Get Detailed TOC @ https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market&pm
Growth of Pharmaceutical Companies and Cloud Based Services
Artificial intelligence (AI) in drug discovery market also provides you with detailed market analysis for every country growth in healthcare expenditure for capital equipment’s, installed base of different kind of products for artificial intelligence (AI) in drug discovery market, impact of technology using life line curves and changes in healthcare regulatory scenarios and their impact on the artificial intelligence (AI) in drug discovery market. The data is available for historic period 2010 to 2018.
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Artificial Intelligence (AI) in Drug Discovery Market Outlook 2020 (COVID 19 Impact Analysis)
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Artificial Intelligence AI Drug Discovery Market Outlook 2020 COVID 19 Impact Analysis Development Trends, Market Demands, Industry Analysis Forecast 2027 PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News Artificial Intelligence AI Drug Discovery Market Outlook 2020 COVID 19 Impact Analysis Development Trends, Market Demands, Industry Analysis Forecast 2027 Post author By Data Bridge Market Research Post date October 14, 2020 No Comments Artificial Intelligence AI Drug Discovery Market Outlook 2020 COVID 19 Impact Analysis Development Trends, Market Demands, Industry Analysis Forecast 2027 A recent review Artificial Intelligence AI Drug Discovery Market led covering different associations business topographies think 100 report. The examination ideal blend subjective quantitative data featuring key market improvements, challenges industry rivalry looking alongside investigation new open door accessible slant Artificial Intelligence AI Drug Discovery Market showcase. The report connects authentic information 2013 2018 anticipated till 2027. Market analysis included gives examination segments relied witness fastest development amid estimate forecast frame. And mention, giving end users, information assessed validated market experts. Artificial intelligence AI drug discovery market expected gain market growth forecast period 2020 2027. Data Bridge Market Research analyses market account USD 3,932.87 million 2027 growing CAGR 40.5 abovementioned forecast period. The growing awareness physicians patients benefits artificial intelligence directly impacting growth market. MAjor Player The major players covered artificial intelligence AI drug discovery market report Microsoft, NVIDIA Corporation, IBM Corporation, Atomwise, ., DEEP GENOMICS, Cloud Pharmaceuticals, ., Insilico Medicine, BenevolentAI Ltd, Exscientia, Cyclica ., Numerate, NuMedii, ., Envisagenics., twoXAR, orporated, OWKIN, INC., XtalPi ., BERG LLC, domestic global players. Market share data available Global, North America, Europe, AsiaPacific APAC, Middle East Africa MEA South America separately. DBMR analysts understand competitive strengths provide competitive analysis competitor separately. Get Sample Report All Related Graphs Charts Competitive Landscape Artificial Intelligence AI Drug Discovery Market Share Analysis Artificial intelligence AI drug discovery market competitive landscape provides details competitor. Details included company overview, company financials, revenue generated, market potential, investment research development, new market initiatives, global presence, production sites facilities, production capacities, company strengths weaknesses, product launch, product width breadth, application dominance. The data points provided related companies focus related artificial intelligence AI drug discovery market. GlobalArtificial IntelligenceAI Drug Discovery Market By Offering Software, Services, Technology Machine Learning, Other Technologies, Drug Type Small Molecule, Large Molecules, Application ImmunoOncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications, EndUser Pharmaceutical Biotechnology Companies, Contract Research Organizations, Research Centres Academic Government Institutes, Country U.S., Canada, Mexico, Germany, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest Asia Pacific, Brazil, Argentina, Rest South America, South Africa, Saudi Arabia, UAE, Egypt, Israel, Rest Middle East Africa, Market Trends Forecast 2027 reasing need reduce cost drug discovery reduce time, growth pharmaceutical industries collaborations industries, adoption cloud based services applications, delay patent expiry factors enhance growth artificial intelligence AI drug discovery market forecast period 20202027. On hand, expansion biotechnology industries create new ample opportunities growth artificial intelligence AI drug discovery market mentioned forecast period. Unavailability skilled labour lack data sets acting market challenges growth artificial intelligence AI drug discovery mentioned forecast period. This artificial intelligence AI drug discovery market report provides details new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact domestic localised market players, analyses opportunities terms emerging revenue pockets, changes market regulations, strategic market growth analysis, market size, category market growths, application niches dominance, product approvals, product launches, geographic expansions, technological innovations market. To gain info artificial intelligence AI drug discovery market contactData Bridge Market Researchfor anAnalyst Brief, team help informed market decision achieve market growth. Global Artificial Intelligence AI Drug Discovery Market Scope Market Size Artificial intelligence AI indrug discoverymarket segmented basis offering, technology, drug type, application end user. The growth segments help analyse meagre growth segments industries, provide users valuable market overview market insights help making strategic decisions identification core market applications. Based offering, artificial intelligence AI drug discovery market segmented software services. On basis technology, artificial intelligence AI drug discovery market segmented machine learning technologies. Machine learning segmented deep learning, supervised learning, reinforcement learning, unsupervised learning machine learning technologies. Based drug type, artificial intelligence AI drug discovery market segmented small molecule large molecules. On basis application, artificial intelligence AI drug discovery market segmented immunooncology, neurodegenerative diseases, cardiovascular disease, metabolic diseases applications. Artificial intelligence AI drug discovery market segmented based end user pharmaceutical biotechnology companies, contract research organizations, research centres academic government institutes. Grab Your Report Impressive 30 Discount Please click Here Artificial Intelligence AI Drug Discovery Market Country Level Analysis Artificial intelligence AI drug discovery market analysed market size insights trends provided country, offering, technology, drug type, applications end user referenced above. The countries covered artificial intelligence AI drug discovery market report U.S., Canada Mexico North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest Europe Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest AsiaPacific APAC AsiaPacific APAC, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest Middle East Africa MEA Middle East Africa MEA, Brazil, Argentina Rest South America South America. North America dominates artificial intelligence AI drug discovery market high prevalence pharmaceutical companies, increasing research activities. The country section artificial intelligence AI drug discovery market report provides individual market impacting factors changes regulation market domestically impacts current future trends market. Data points consumption volumes, production sites volumes, import export analysis, price trend analysis, cost raw materials, downstream upstream value chain analysis major pointers forecast market scenario individual countries. Also, presence availability global brands challenges faced large scarce competition local domestic brands, impact domestic tariffs trade routes considered providing forecast analysis country data. For More Insights Get Detailed TOC @ Growth Pharmaceutical Companies Cloud Based Services Artificial intelligence AI drug discovery market provides detailed market analysis country growth healthcare expenditure capital equipments, installed base different kind products artificial intelligence AI drug discovery market, impact technology life line curves changes healthcare regulatory scenarios impact artificial intelligence AI drug discovery market. The data available historic period 2010 2018. About Data Bridge Market Research: An absolute way forecast future holds comprehend trend today Data Bridge set forth unconventional neoteric Market research consulting firm unparalleled level resilience integrated approaches. We determined unearth best market opportunities foster efficient information business thrive market. Data Bridge endeavors provide appropriate solutions complex business challenges initiates effortless decisionmaking process. Data bridge aftermath sheer wisdom experience formulated framed year 2015 Pune. Data Bridge Market Research US: 1 888 387 2818 UK: 44 208 089 1725 Hong Kong: 852 8192 7475 [emailprotected] Impact Corona CD DVD Drive Market Key Manufactures Business Overview till 2026 HLDS, PLDS, AOpen Automotive Sunroof Parts Market 2019 Global Industry Size, Share, Business Growth, Revenue, Trends, Global Market Demand Penetration Forecast 2024 Leave Reply Cancel replyYour email address published. 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https://qz.com/elon-must-truthgpt-rival-openai-microsoft-chatgpt-1850346998
| 2023-04-18T00:00:00 |
en
|
Why Elon Musk plans to build TruthGPT to counter ChatGPT
|
Why Elon Musk plans to build TruthGPT to counter ChatGPTThe A.V. ClubDeadspinGizmodoJalopnikJezebelKotakuQuartzThe RootThe TakeoutThe OnionThe InventoryMake business better.™️Send us a tip!ShopMembershipHomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz at Work✉️ Emails🎧 PodcastsWe may earn a commission from links on this page.Make business better.™️HomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz at Work✉️ Emails🎧 PodcastsTechnologyAI RACERSElon Musk confirmed he's building an AI to counter ChatGPTMusk is confident that TruthGPT will restore trust and safety to AIThe truth is hard to find.Photo: Mike Blake (Reuters)ByFaustine NgilaPublishedAn hour agoWe may earn a commission from links on this page.Twitter CEO Elon Musk has confirmed that he will build an AI model to counter ChatGPT, the popular AI chatbot backed by Microsoft.Musk says he will name it “TruthGPT” and make its code transparent, to offer the tech industry an alternative to what he has dubbed a closed-source company “effectively controlled by Microsoft.”AdvertisementMusk was a co-founder and a financier of ChatGPT creator OpenAI, but he reportedly walked away after OpenAI’s founders rejected his offer to take over the research company. Musk has since criticized ChatGPT, accusing OpenAI of “training the AI to lie.”In an interview to Fox News broadcaster Tucker Carlson on Apr. 17, Musk touted his AI alternative as “the best path to safety,” one “unlikely to annihilate humans” because he would be focused on trying to “understand the nature of the universe.” Should Musk finally launch TruthGPT, he would be competing not just against ChatGPT, but other AI systems like Google’s Bard. In the Carlson interview, Musk had a bone to pick with Google co-founder Larry Page, accusing him of doing little to create universal AI safety. Musk also said he attempted to make OpenAI the “furthest thing from Google.”ChatGPT has limitationsCritics of ChatGPT claim it generates answers with political bias. In February, ChatGPT reportedly refused to generate a poem about former US president Donald Trump but wrote a thrilling one about current president Joe Biden. Musk said that was “a serious concern.”AdvertisementDespite launching GPT-4 with trillions of data parameters, Microsoft’s anchor AI project has been criticized for its lack of emotional intelligence, failure to understand different contexts, lack of accuracy, limitation to detect typos, and its inability to generating long-form, structured content.Italy temporarily banned ChatGPT this month citing data privacy concerns, and vowed to investigate whether it breached the EU’s General Data Protection Regulation.Musk called for the creation of a body to crowdsource regulatory proposals from the global AI industry and draft laws and ethical guidelines to be adopted by all tech companies. “I think we have a better chance of advanced AI being beneficial to humanity in that circumstance,” he said in the interview.📬 Sign up for the Daily BriefOur free, fast, and fun briefing on the global economy, delivered every weekday morning.
|
Why Elon Musk plans to build TruthGPT to counter ChatGPT
|
Why Elon Musk plans build TruthGPT counter ChatGPTThe A.V. ClubDeadspinGizmodoJalopnikJezebelKotakuQuartzThe RootThe TakeoutThe OnionThe InventoryMake business better.Send tipShopMembershipHomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz Work Emails PodcastsWe earn commission links .Make business better.HomeLatestFinanceEconomicsTechnologySustainabilityLifestyleQuartz Work Emails PodcastsTechnologyAI RACERSElon Musk confirmed hes building AI counter ChatGPTMusk confident TruthGPT restore trust safety AIThe truth hard find.Photo: Mike Blake ReutersByFaustine NgilaPublishedAn hour agoWe earn commission links .Twitter CEO Elon Musk confirmed build AI model counter ChatGPT, popular AI chatbot backed Microsoft.Musk says TruthGPT code transparent, offer tech industry alternative dubbed closedsource company effectively controlled Microsoft.AdvertisementMusk cofounder financier ChatGPT creator OpenAI, reportedly walked away OpenAIs founders rejected offer research company. Musk criticized ChatGPT, accusing OpenAI training AI lie.In interview Fox News broadcaster Tucker Carlson Apr. 17, Musk touted AI alternative best path safety, unlikely annihilate humans focused trying understand nature universe. Should Musk finally launch TruthGPT, competing ChatGPT, AI systems like Googles Bard. In Carlson interview, Musk bone pick Google cofounder Larry Page, accusing little create universal AI safety. Musk said attempted OpenAI furthest thing Google.ChatGPT limitationsCritics ChatGPT claim generates answers political bias. In February, ChatGPT reportedly refused generate poem US president Donald Trump wrote thrilling current president Joe Biden. Musk said concern.AdvertisementDespite launching GPT4 trillions data parameters, Microsofts anchor AI project criticized lack emotional intelligence, failure understand different contexts, lack accuracy, limitation detect typos, inability generating longform, structured content.Italy temporarily banned ChatGPT month citing data privacy concerns, vowed investigate breached EUs General Data Protection Regulation.Musk called creation body crowdsource regulatory proposals global AI industry draft laws ethical guidelines adopted tech companies. I think better chance advanced AI beneficial humanity circumstance, said interview. Sign Daily BriefOur free, fast, fun briefing global economy, delivered weekday morning.
| 2,023 |
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] | 1 | 197,955 |
https://radio.wpsu.org/2023-09-15/inside-an-ai-extravaganza
| 2023-09-15T00:00:00 |
en
|
Inside an AI extravaganza | WPSU
|
Inside an AI extravaganza | WPSU
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Inside an AI extravaganza
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Thousands of A.I. enthusiasts are converging in San Francisco this week for what's billed as the "world's largest A.I. event," which stands in sharp contrast to what's happening in Washington.
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Inside an AI extravaganza
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| 2,023 |
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https://reliefweb.int/report/world/responsible-artificial-intelligence-research-and-innovation-international-peace-and
| 2020-11-05T00:00:00 |
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Responsible Artificial Intelligence Research and Innovation for International Peace and Security
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SIPRI
Posted
5 Nov 2020
Originally published
5 Nov 2020
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In 2018 the United Nations Secretary-General identified responsible research and innovation (RRI) in science and technology as an approach for academia, the private sector and governments to work on the mitigation of risks that are posed by new technologies.
This report explores how RRI could help to address the humanitarian and strategic risks that may result from the development, diffusion and military use of artificial intelligence (AI) and thereby achieve arms control objectives on the military use of AI.
The report makes recommendations on how the arms control community could build on existing responsible AI initiatives and export control and compliance systems to engage with academia and the private sector in the governance of risks to international peace and security posed by the military use of AI.
Contents
1. Introduction
2. Addressing the risks posed by the military use of AI
3. Responsible research and innovation as a means to govern the development, diffusion and use of AI technology
4. Building on existing efforts to promote responsible research and innovation in AI
5. Key findings and recommendations
ABOUT THE AUTHOR(S)/EDITORS
Luke Richards is a Research Assistant working on emerging military and security technologies.
Kolja Brockmann is a Researcher in the SIPRI Dual-Use and Arms Trade Control programme.
Dr Vincent Boulanin is a Senior Researcher on emerging military and security technologies.
Primary country
World
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Stockholm International Peace Research Institute
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English
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Responsible Artificial Intelligence Research and Innovation for International Peace and Security
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Responsible Artificial Intelligence Research Innovation International Peace Security World ReliefWeb Skip main content ReliefWeb RW COVID19 : Find latest updates global humanitarian responses Global Menu Help Find help use site, read terms conditions, view FAQs API documentation. Log Access account create new additional features post job training opportunities. Site Navigation Updates Latest humanitarian reports, maps infographics document archive. Countries List countries covered ReliefWeb. Disasters List alerts, ongoing past disasters covered ReliefWeb. Organizations List organizations actively providing ReliefWeb content. Topics Curated dedicated humanitarian themes specific humanitarian crises. Jobs Open job opportunities humanitarian field. Training Open training opportunities humanitarian field. Content ReliefWeb World Responsible Artificial Intelligence Research Innovation International Peace Security Format Analysis Source SIPRI Posted 5 Nov 2020 Originally published 5 Nov 2020 Origin View original Attachments Download document PDF 977.29 KB In 2018 United Nations SecretaryGeneral identified responsible research innovation RRI science technology approach academia, private sector governments work mitigation risks posed new technologies. This report explores RRI help address humanitarian strategic risks result development, diffusion military use artificial intelligence AI achieve arms control objectives military use AI. The report makes recommendations arms control community build existing responsible AI initiatives export control compliance systems engage academia private sector governance risks international peace security posed military use AI. Contents 1. Introduction 2. Addressing risks posed military use AI 3. Responsible research innovation means govern development, diffusion use AI technology 4. Building existing efforts promote responsible research innovation AI 5. Key findings recommendations ABOUT THE AUTHORSEDITORS Luke Richards Research Assistant working emerging military security technologies. Kolja Brockmann Researcher SIPRI DualUse Arms Trade Control programme. Dr Vincent Boulanin Senior Researcher emerging military security technologies. Primary country World Source Stockholm International Peace Research Institute Format Analysis Theme Peacekeeping Peacebuilding Language English Share Share Facebook Share Twitter Post LinkedIn Related Content World 4 La police lONU joue rle crucial dans le maintien la paix et la prvention des conflits Format News Press Release Source UN News Posted 5 Nov 2020 Originally published 4 Nov 2020 World 5 Calling More Women Officers Peacekeeping Operations, Force Leaders Briefing Security Council Stress Gender Balance Key Effective Policing, Building Trust Format News Press Release Source UN SC Posted 4 Nov 2020 Originally published 4 Nov 2020 World La numro 2 lONU encourage le Conseil scurit se mobiliser pour cessezlefeu mondial Format News Press Release Source UN News Posted 4 Nov 2020 Originally published 3 Nov 2020 World Dbat haut niveau au Conseil scurit: la pandmie COVID19 et les changements climatiques examins comme facteurs dinscurit et conflits Format News Press Release Source UN SC Posted 4 Nov 2020 Originally published 3 Nov 2020 Additional links Blog ReliefWebs blog Labs ReliefWeb Labs projects explore new emerging opportunities improve information delivery humanitarians. Learn ReliefWeb, leading online source reliable timely humanitarian information global crises disasters 1996. Terms ReliefWebs terms Conditions. us. Social media ReliefWeb Facebook ReliefWeb Twitter ReliefWeb LinkedIn OCHA Services Related Platforms Agenda Humanity Central Emergency Response Fund Redhum Other OCHA Services Financial Tracking Service Humanitarian Data Exchange Humanitarian ID Humanitarian Response Other OCHA Services InterAgency Standing Committee OCHA website Virtual OSOCC See All OCHA services Service provided UN OCHA OCHA coordinates global emergency response save lives protect people humanitarian crises. We advocate effective principled humanitarian action all, all. ReliefWebs Terms Conditions. 2020 .
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https://rnbcincy.com/758948/the-intersection-of-ai-and-anti-blackness-unraveling-the-complex-problem/
| 2023-07-18T00:00:00 |
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The Complex Intersection Of AI And Anti-Blackness
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The Complex Intersection Of AI And Anti-Blackness
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The Intersection Of AI And Anti-Blackness: Unraveling The Complex Problem
Written by
Shannon Dawson
Published on
July 14, 2023
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Artificial Intelligence (AI) has emerged as a transformative technology, promising advancements in various fields. Supporters of the movement believe that the incredible technology will change the way we live for the better. But some proponents fear that there may be harsh consequences lying ahead, particularly for the Black community.
Here’s the problem.
AI systems heavily rely on vast datasets to learn patterns and make predictions. Unfortunately, historical data is often plagued with biases and have elements of systemic racism baked within. They also require the help of humans, who can inherently insert their own biases into AI algorithms and programming.
If the data used to train AI algorithms disproportionately represents negative stereotypes or discriminatory practices, the resulting models can perpetuate and amplify those biases. This is dangerous because it can create the perfect breeding ground for anti-Blackness, leading to unfair treatment and discrimination against Black individuals in various domains, such as criminal justice, employment and lending.
Facial Recognition Technology and Racial bias go hand in hand.
AI facial recognition technology has already encountered multiple problems, specifically when it comes to understanding and identifying individuals within the Black community. Studies have shown that facial recognition algorithms have higher error rates when identifying individuals with darker skin tones and facial features.
This racial bias not only undermines the accuracy and fairness of the technology but also reinforces harmful stereotypes and discrimination against Black individuals. The tech community saw this harsh reality come to life in 2020 when Facebook’s AI-generated placed the label of “primates” underneath a Daily Mail video of a Black man being accosted by a white male.
Google also fell victim to AI anti-Blackness in 2015, when the tech giant’s AI-generated photo app mistakenly labeled a Black couple’s photo underneath “gorillas.” The company later apologized and vowed to fix the racist bug within the app’s coding.
Unfortunately, AI facial recognition is causing even more harm to the criminal justice system. AI-based predictive policing systems, used by law enforcement agencies, raise concerns about perpetuating anti-Blackness. These systems utilize historical crime data to find criminals and predict future crime hotspots. However, if historical data reflects biased practices, such as racial profiling or over-policing in Black communities, the predictions made by these systems can unfairly target and disproportionately impact Black individuals, exacerbating existing biases and anti-Blackness within the criminal justice system.
In 2019, faulty AI facial recognition led to the wrongful arrest of Nijeer Parks. The 31-year-old New Jersey native was shocked when Woodbridge Police falsely accused him of several charges including aggravated assault, unlawful possession of weapons, using a fake ID, shoplifting and possession of marijuana. The dodgy AI system also accused Parks of nearly hitting a police officer with a car.
Parks, who had previous troubles with the law in the past, spent 11 days in jail for crimes he did not commit. It took over a year of litigation for him to clear his name from the allegations. According to CNN, authorities from the Woodbridge Police Department claimed that their AI system generated a “high profile comparison from a facial recognition scan of a photo from what was determined to be a fake ID left at the crime scene that witnesses connected to the suspect.” That facial recognition match gave prosecutors enough evidence to follow through with his arrest.
AI bias can lead to housing complications for Black people.
AI discrimination can also harm Black people from securing housing. Some housing and apartment programs use AI technology to select tenants and asses mortgage qualifications for prospective homebuyers, but pesky biases have crept their way into the elaborate technology.
The ACLU noted, that some AI systems vet tenants based on court records and other datasets that have their “own built-in biases” and that are loaded with errors. “People are regularly denied housing, despite their ability to pay rent, because tenant screening algorithms deem them ineligible or unworthy,” the outlet added.
The same issue falls true for Black homebuyers. In 2019, researchers at Berkely found that Black borrowers were overcharged nearly $765 million each year for home and refinance loans due to mortgage lenders using faulty AI to determine loan pricing. The study also found that both in-person and online lenders rejected a total of 1.3 million creditworthy applicants of color between 2008 and 2015 due to AI.
Addressing the issue of AI bias will require a multifaceted approach. It involves ensuring diverse representation in AI development teams, where Black software developers can help to prevent and improve some of these crucial issues. Tech companies will need to work hard to audit and search for bias within AI algorithms and actively involve impacted communities in the decision-making processes.
Additionally, collecting more diverse and representative datasets and implementing robust testing frameworks can help identify and rectify biases within AI systems.
The history of AI and its entanglement with anti-Blackness reveals the urgent need for critical examination, transparency, and ethical considerations within the development and deployment of AI systems. Addressing biases and ensuring equitable outcomes are crucial steps toward building a future where technology works to dismantle, rather than reinforce systemic discrimination.
ALSO SEE:
‘DEI Is Over In Florida!’ Ron DeSantis Is Running On Racism And Calling It Equality
The Dignity Of Black Cemeteries: How Historic Burial Grounds Weathered Dehumanizing Effects Of Racism
The post The Intersection Of AI And Anti-Blackness: Unraveling The Complex Problem appeared first on NewsOne.
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The Complex Intersection Of AI And AntiBlackness Menu Home Buy Black 513 Cincy Rhythm The River Virtual Career Fair News Schedule Events Prizes Advertise With Us Facebook Instagram YouTube Twitter EEO Listen Live Listen Live Toggle search National The Intersection Of AI And AntiBlackness: Unraveling The Complex Problem Written Shannon Dawson Published July 14, 2023 Share Share post Share link Or copy link Copy Copied LISTEN LIVE. LIKE US ON FACEBOOK. FOLLOW US ON TWITTER. 100.3 Featured Video CLOSE Source: FG Trade Getty Artificial Intelligence AI emerged transformative technology, promising advancements fields. Supporters movement believe incredible technology change way live better. But proponents fear harsh consequences lying ahead, particularly Black community. Heres problem. AI systems heavily rely vast datasets learn patterns predictions. Unfortunately, historical data plagued biases elements systemic racism baked within. They require help humans, inherently insert biases AI algorithms programming. If data train AI algorithms disproportionately represents negative stereotypes discriminatory practices, resulting models perpetuate amplify biases. This dangerous create perfect breeding ground antiBlackness, leading unfair treatment discrimination Black individuals domains, criminal justice, employment lending. Facial Recognition Technology Racial bias hand hand. AI facial recognition technology encountered multiple problems, specifically comes understanding identifying individuals Black community.Studies shown facial recognition algorithms higher error rates identifying individuals darker skin tones facial features. This racial bias undermines accuracy fairness technology reinforces harmful stereotypes discrimination Black individuals. The tech community saw harsh reality come life 2020 Facebooks AIgenerated placed label primates underneath Daily Mail video Black man accosted white male. Google fell victim AI antiBlackness 2015, tech giants AIgenerated photo app mistakenly labeled Black couples photo underneath gorillas. The company later apologized vowed fix racist bug apps coding. Unfortunately, AI facial recognition causing harm criminal justice system. AIbased predictive policing systems, law enforcement agencies, raise concerns perpetuating antiBlackness. These systems utilize historical crime data criminals predict future crime hotspots. However, historical data reflects biased practices, racial profiling overpolicing Black communities, predictions systems unfairly target disproportionately impact Black individuals, exacerbating existing biases antiBlackness criminal justice system. In 2019, faulty AI facial recognition led wrongful arrest Nijeer Parks. The31yearold New Jersey native shocked Woodbridge Police falsely accused charges includingaggravated assault, unlawful possession weapons, fake ID, shoplifting possession marijuana. The dodgy AI accused Parks nearly hitting police officer car. Parks, previous troubles law past, spent 11 days jail crimes commit. It took year litigation clear allegations. According CNN, authorities Woodbridge Police Department claimed AI generated ahigh profile comparison afacial recognition scanof photo determined fake ID left crime scene witnesses connected suspect. That facial recognition match gave prosecutors evidence follow arrest. AI bias lead housing complications Black people. AI discrimination harm Black people securing housing. Some housing apartment programs use AI technology select tenants asses mortgage qualifications prospective homebuyers, pesky biases crept way elaborate technology. The ACLU noted, AI systems vet tenants based court records datasets builtin biases loaded errors.People regularly denied housing, despite ability pay rent, tenant screening algorithms deem ineligible unworthy, outlet added. The issue falls true Black homebuyers. In 2019, researchers Berkely Black borrowers overcharged nearly 765 million year home refinance loans mortgage lenders faulty AI determine loan pricing. The study inperson online lenders rejected total 1.3 million creditworthy applicants color 2008 2015 AI. Addressing issue AI bias require multifaceted approach. It involves ensuring diverse representation AI development teams, Black software developers help prevent improve crucial issues. Tech companies need work hard audit search bias AI algorithms actively involve impacted communities decisionmaking processes. Additionally, collecting diverse representative datasets implementing robust testing frameworks help identify rectify biases AI systems. The history AI entanglement antiBlackness reveals urgent need critical examination, transparency, ethical considerations development deployment AI systems. Addressing biases ensuring equitable outcomes crucial steps building future technology works dismantle, reinforce systemic discrimination. ALSO SEE: DEI Is Over In Florida Ron DeSantis Is Running On Racism And Calling It Equality The Dignity Of Black Cemeteries: How Historic Burial Grounds Weathered Dehumanizing Effects Of Racism The post The Intersection Of AI And AntiBlackness: Unraveling The Complex Problem appeared NewsOne. 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https://royalsuttonnews.uk/uncategorised/136049/global-industrial-artificial-intelligence-market-outlook-swot-analysisby-top-key-players-intel-corporation-siemens-ag-ibm-corporation-alphabet-inc-microsoft-corporation-cisco-systems-general-elect/
| 2020-11-10T00:00:00 |
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“Global Industrial Artificial Intelligence Market, 2020-26
This Global Industrial Artificial Intelligence Market report specifically highlights growth momentum across regions, analyze growth momentum across profitable countries in the market. The Global Industrial Artificial Intelligence Market has been meticulously analyzed on the basis of major geographical hubs to precisely identify prominent market dynamics across regions, region-based developments, also roping in significant references of major occurrences across countries.
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Competitive Landscape:
Further through the report, readers get an overview of the competitive landscape with elaborate references of key players as well as contributing ones. readers are rendered substantial cues on vendor landscape and competition intensity that thoroughly influence the growth momentum.
A comprehensive analysis of major players as well as contributors has been highlighted in the report to address reader queries.
The player listings and categorization have been mindfully presented by categorizing them in a multi-parameter lay-out and their diversified offerings.
A clear and distinct identification of frontline key players and other relevant contributors has been followed.
The report has been designed on stringent protocols and industry best practices, thus distinctively segregating the competition spectrum into frontline players and moderate and contributing players having local dominance.
Winning business strategies of each of the players have been elaborately discussed to answer all reader queries.
The Major Players Covered in Global Industrial Artificial Intelligence Market are:
The key players covered in this study
Intel Corporation
Siemens AG
IBM Corporation
Alphabet Inc
Microsoft Corporation
Cisco Systems
General Electric Company
Data RPM, Sight Machine
General Vision
Rockwell, Automation Inc
Mitsubishi Electric Corporation
Oracle Corporation
SAP SE
Market
Global Industrial Artificial Intelligence Market by Type:
By Type, the product can be split into
Hardware
Software
Global Industrial Artificial Intelligence Market by Application:
By Application, split into
Semiconductor and Electronics
Energy and Power
Pharmaceuticals
Automobile
Heavy Metals and Machine Manufacturing
Food and Beverages
Others (Textiles & Aerospace)
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
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Global Industrial Artificial Intelligence Market: Highlights
The report delivers the complete CAGR valuation and percentage.
A synopsis of all the pertinent information related to various growth rendering factors that are expected to influence growth through the growth span.
Crucial details such as growth estimations and market size are also mentioned in the report for reader awareness
Global Industrial Artificial Intelligence Market: Scope and COVID-19 Impact Assessment
Incessant monitoring and evaluation of the Global Industrial Artificial Intelligence Market on the basis of high-end primary and secondary research endeavors suggest that the market size of the discussed market is likely show lucrative trends through the forecast tenure with ample scope for new trend addition in the market ecosystem.
Despite the massive and lingering transformations owing to sudden COVID-19 outbreak, the market is likely to make steady recovery.
For maximum reader interest, the report also includes dedicated details on both pre and post COVID-19 outbreak and their subsequent impact on growth journey.
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Global Industrial Artificial Intelligence Market Outlook, SWOT Analysis,By Top Key Players- Intel Corporation Siemens AG IBM Corporation Alphabet Inc Microsoft Corporation Cisco Systems General Electric Company Data RPM, Sight Machine General Vision Rockwell, Automation Inc Mitsubishi Electric Corporation Oracle Corporation SAP SE Market
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Global Industrial Artificial Intelligence Market Outlook, SWOT Analysis,By Top Key Players Intel Corporation Siemens AG IBM Corporation Alphabet Microsoft Corporation Cisco Systems General Electric Company Data RPM, Sight Machine General Vision Rockwell, Automation Mitsubishi Electric Corporation Oracle Corporation SAP SE Market Royal Sutton News Skip content Menu Energy News Space All news for: Royal Sutton News Menu Energy News Space All news for: Flash News Anti Torpedo Torpedo Market covid19 analysis SWOT analysis, key indicators, forecast 2027 ASELSAN, LACROIX, Saab Group, Elbit Systems, BAE Systems Global CNC Machining Centers Market 2020, Research Analysis Report Growth CAGR Value, Industry Share, Key Company Profiles, Type, Applications, Size, Trends Forecast To 2026 Global Dentures Market Size, Future Growth, Share, Supply, Demand, Segments Forecast 20202027 Global Orbital Stretch Wrapper Market 2020, Research Analysis Report Growth CAGR Value, Industry Share, Key Company Profiles, Type, Applications, Size, Trends Forecast To 2026 Global Fully Automatic Aseptic Liquid Filling Machines Market 2020, Research Analysis Report Growth CAGR Value, Industry Share, Key Company Profiles, Type, Applications, Size, Trends Forecast To 2026 Diisononyl Adipate DINA Market Detailed analysis current Industry figures forecasts growth 2027 BASF, ExxonMobil, Mitsubishi Chemical, Hallstar Industrial, Hefei TNJ Chemical Global Bring Your Own Devices Byod Market 2020, Research Analysis Report Growth CAGR Value, Industry Share, Key Company Profiles, Type, Applications, Size, Trends Forecast To 2026 Global NonPowerDriven Hand Tool Market 2020, Research Analysis Report Growth CAGR Value, Industry Share, Key Company Profiles, Type, Applications, Size, Trends Forecast To 2026 Atmospheric Valve Market Growth Opportunities, Segmentation, Global Trends, Industry Analysis Forecast 2025 Flight Instruments Market Analysis, Business Prospect, Gross Margin Analysis, Size, Development History, Market Size, Trends Forecast 2025 Tuesday, November 10, 2020 All news Global Industrial Artificial Intelligence Market Outlook, SWOT Analysis,By Top Key Players Intel Corporation Siemens AG IBM Corporation Alphabet Microsoft Corporation Cisco Systems General Electric Company Data RPM, Sight Machine General Vision Rockwell, Automation Mitsubishi Electric Corporation Oracle Corporation SAP SE Market anita 10th November 2020 Global Industrial Artificial Intelligence Market, 202026 This Global Industrial Artificial Intelligence Market report specifically highlights growth momentum regions, analyze growth momentum profitable countries market. The Global Industrial Artificial Intelligence Market meticulously analyzed basis major geographical hubs precisely identify prominent market dynamics regions, regionbased developments, roping significant references major occurrences countries. Get sample report @ Competitive Landscape: Further report, readers overview competitive landscape elaborate references key players contributing ones. readers rendered substantial cues vendor landscape competition intensity thoroughly influence growth momentum. A comprehensive analysis major players contributors highlighted report address reader queries. The player listings categorization mindfully presented categorizing multiparameter layout diversified offerings. A clear distinct identification frontline key players relevant contributors followed. The report designed stringent protocols industry best practices, distinctively segregating competition spectrum frontline players moderate contributing players local dominance. Winning business strategies players elaborately discussed answer reader queries. The Major Players Covered Global Industrial Artificial Intelligence Market are: The key players covered study Intel Corporation Siemens AG IBM Corporation Alphabet Microsoft Corporation Cisco Systems General Electric Company Data RPM, Sight Machine General Vision Rockwell, Automation Mitsubishi Electric Corporation Oracle Corporation SAP SE Market Global Industrial Artificial Intelligence Market Type: By Type, product split Hardware Software Global Industrial Artificial Intelligence Market Application: By Application, split Semiconductor Electronics Energy Power Pharmaceuticals Automobile Heavy Metals Machine Manufacturing Food Beverages Others Textiles Aerospace Market segment RegionsCountries, report covers United States Europe China Japan Southeast Asia India Central South America Read complete report @ Global Industrial Artificial Intelligence Market: Highlights The report delivers complete CAGR valuation percentage. A synopsis pertinent information related growth rendering factors expected influence growth growth span. Crucial details growth estimations market size mentioned report reader awareness Global Industrial Artificial Intelligence Market: Scope COVID19 Impact Assessment essant monitoring evaluation Global Industrial Artificial Intelligence Market basis highend primary secondary research endeavors suggest market size discussed market likely lucrative trends forecast tenure ample scope new trend addition market ecosystem. Despite massive lingering transformations owing sudden COVID19 outbreak, market likely steady recovery. For maximum reader interest, report includes dedicated details pre post COVID19 outbreak subsequent impact growth journey. Excerpts customized client needs pinned report encourage highest reader interests. For Enquiry buying report @ We leading team expert research professionals committed rendering conscious business relevant information aid lucrative business discretion. Illustrative researchbased information advisory consultation services major service solutions expertise in. : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Global Asset Reliability Software Market SWOT Analysis By Key Companies ABB Ltd CGI Group Dude Solutions eMaint IBM IFS AB Infor Oracle Corporation Ramco Systems SAP SE chneider Electric SA Vesta Partners Bentley Systems MarketGlobal Agile IoT Market SWOT Analysis By Key Companies ByteLight US Fujitsu Japan Panasonic Corp Japan Qualcomm . US PureLifi Ltd US Ibsentelecom US General Electronic CorpUS LVX System US Lightbee Corp. US Supreme ArchitectureUS Market for: Recent Posts Anti Torpedo Torpedo Market covid19 analysis SWOT analysis, key indicators, forecast 2027 ASELSAN, LACROIX, Saab Group, Elbit Systems, BAE Systems Global CNC Machining Centers Market 2020, Research Analysis Report Growth CAGR Value, Industry Share, Key Company Profiles, Type, Applications, Size, Trends Forecast To 2026 Global Dentures Market Size, Future Growth, Share, Supply, Demand, Segments Forecast 20202027 Global Orbital Stretch Wrapper Market 2020, Research Analysis Report Growth CAGR Value, Industry Share, Key Company Profiles, Type, Applications, Size, Trends Forecast To 2026 Global Fully Automatic Aseptic Liquid Filling Machines Market 2020, Research Analysis Report Growth CAGR Value, Industry Share, Key Company Profiles, Type, Applications, Size, Trends Forecast To 2026 Proudly powered WordPress Theme: TimesNews By . Go Top
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The Importance of OpenAI in Cyber Resilience
OpenAI and Its Role in Enhancing Cyber Resilience
The world of technology is constantly evolving, and with it comes the need for better cybersecurity measures. Cyberattacks have become more sophisticated, and traditional security measures are no longer enough to protect against them. This is where OpenAI comes in, with its potential to enhance cyber resilience.
OpenAI is an artificial intelligence research laboratory consisting of a team of experts in the field of AI. The organization was founded in 2015 by a group of tech luminaries, including Elon Musk and Sam Altman. Its mission is to create safe and beneficial AI that can be used to solve some of the world’s most pressing problems.
One of the areas where OpenAI can make a significant impact is in cybersecurity. With its advanced machine learning algorithms, OpenAI can help organizations detect and respond to cyber threats in real-time. By analyzing large amounts of data, OpenAI can identify patterns and anomalies that may indicate a potential attack.
In addition to detecting threats, OpenAI can also be used to prevent them. By analyzing past attacks and their methods, OpenAI can help organizations develop better security protocols and defenses. This can include everything from identifying vulnerabilities in software to creating more secure passwords.
Another way OpenAI can enhance cyber resilience is by improving incident response times. When a cyberattack occurs, time is of the essence. The longer it takes to detect and respond to an attack, the more damage it can cause. OpenAI can help organizations automate their incident response processes, allowing them to respond to threats faster and more efficiently.
OpenAI can also be used to enhance employee training and awareness. One of the biggest threats to cybersecurity is human error. Employees may inadvertently click on a malicious link or download a virus-infected file. OpenAI can help organizations create more effective training programs that teach employees how to recognize and avoid potential threats.
Despite its potential benefits, there are also concerns about the use of AI in cybersecurity. One of the biggest concerns is the potential for AI to be used in cyberattacks. Hackers could use AI to create more sophisticated attacks that are harder to detect and defend against.
Another concern is the potential for AI to make mistakes. While AI is incredibly powerful, it is not infallible. There is always the risk of false positives or false negatives, which could lead to unnecessary alerts or missed threats.
To address these concerns, OpenAI is working to create safe and beneficial AI. The organization is committed to developing AI that is transparent, explainable, and accountable. This means that organizations can understand how AI is making decisions and take responsibility for its actions.
In conclusion, OpenAI has the potential to enhance cyber resilience in a variety of ways. From detecting and preventing threats to improving incident response times and employee training, OpenAI can help organizations stay ahead of the ever-evolving cybersecurity landscape. While there are concerns about the use of AI in cybersecurity, OpenAI is working to create safe and beneficial AI that can be used to solve some of the world’s most pressing problems. As technology continues to advance, the role of OpenAI in cybersecurity is only going to become more important.
Author adminPosted on June 29, 2023
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The Importance of OpenAI in Cyber Resilience
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The Importance OpenAI Cyber Resilience satPRnews Skip content satPRnews Space AI Reports Menu News The Importance OpenAI Cyber Resilience OpenAI Its Role Enhancing Cyber Resilience The world technology constantly evolving, comes need better cybersecurity measures. Cyberattacks sophisticated, traditional security measures longer protect them. This OpenAI comes in, potential enhance cyber resilience. OpenAI artificial intelligence research laboratory consisting team experts field AI. The organization founded 2015 group tech luminaries, including Elon Musk Sam Altman. Its mission create safe beneficial AI solve worlds pressing problems. One areas OpenAI significant impact cybersecurity. With advanced machine learning algorithms, OpenAI help organizations detect respond cyber threats realtime. By analyzing large amounts data, OpenAI identify patterns anomalies indicate potential attack. In addition detecting threats, OpenAI prevent them. By analyzing past attacks methods, OpenAI help organizations develop better security protocols defenses. This include identifying vulnerabilities software creating secure passwords. Another way OpenAI enhance cyber resilience improving incident response times. When cyberattack occurs, time essence. The longer takes detect respond attack, damage cause. OpenAI help organizations automate incident response processes, allowing respond threats faster efficiently. OpenAI enhance employee training awareness. One biggest threats cybersecurity human error. Employees inadvertently click malicious link download virusinfected file. OpenAI help organizations create effective training programs teach employees recognize avoid potential threats. Despite potential benefits, concerns use AI cybersecurity. One biggest concerns potential AI cyberattacks. Hackers use AI create sophisticated attacks harder detect defend against. Another concern potential AI mistakes. While AI incredibly powerful, infallible. There risk false positives false negatives, lead unnecessary alerts missed threats. To address concerns, OpenAI working create safe beneficial AI. The organization committed developing AI transparent, explainable, accountable. This means organizations understand AI making decisions responsibility actions. In conclusion, OpenAI potential enhance cyber resilience variety ways. From detecting preventing threats improving incident response times employee training, OpenAI help organizations stay ahead everevolving cybersecurity landscape. While concerns use AI cybersecurity, OpenAI working create safe beneficial AI solve worlds pressing problems. As technology continues advance, role OpenAI cybersecurity going important. Author adminPosted June 29, 2023 Post navigation Previous Previous post: Tooways Satellite Internet Service: A Solution Underserved CommunitiesNext Next post: Spy Satellites: The Future SpaceBased Cyber Espionage for: Recent Posts Advantages Using Army Drones Urban Warfare Close Combat Operations Spy Satellites: The Future SpaceBased Cyber Espionage The Importance OpenAI Cyber Resilience Tooways Satellite Internet Service: A Solution Underserved Communities Top 5 Drones Environmental Remediation Why Bushnell AR Optics 1624 Illuminated Riflescope MustHave Any Shooter The Advantages Using Drones Oil Gas Exploration Ukraine Benefits Inmarsat GX Aviation Airlines The Impact Starlink, TS2 Space, Other ISPs Komsomolske, Ukraine The Impact Starlink Shuangyashan, Shuangyashan News satPRnews Who Proudly powered WordPress
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The Impact of OpenAI on the Future of E-learning
OpenAI and the Evolution of E-learning
Artificial intelligence (AI) has been making waves in various industries, and the field of education is no exception. E-learning, which refers to the use of electronic media and technology to deliver educational content, has been growing in popularity over the years. With the advent of AI, e-learning is poised to undergo a significant transformation. One of the key players in this transformation is OpenAI.
OpenAI is an AI research laboratory consisting of a team of experts in the field of AI. Founded in 2015 by a group of tech luminaries, including Elon Musk and Sam Altman, OpenAI aims to create safe and beneficial AI that can benefit humanity as a whole. The organization has been making significant strides in the field of AI, and its impact on e-learning is already being felt.
One of the ways in which OpenAI is impacting e-learning is through the development of intelligent tutoring systems (ITS). ITS is a type of e-learning system that uses AI to provide personalized instruction to students. The system analyzes the student’s performance and adapts the instruction to their individual needs. This personalized approach to learning has been shown to be more effective than traditional classroom instruction.
OpenAI’s ITS system is designed to be scalable, meaning it can be used by millions of students at once. The system uses natural language processing (NLP) to understand the student’s responses and provide feedback. The system also uses machine learning algorithms to adapt the instruction to the student’s learning style. This means that the system can provide instruction that is tailored to the student’s individual needs, making learning more efficient and effective.
Another way in which OpenAI is impacting e-learning is through the development of chatbots. Chatbots are AI-powered programs that can simulate human conversation. OpenAI’s chatbot, GPT-3, is one of the most advanced chatbots in existence. It can understand and respond to natural language, making it ideal for use in e-learning.
GPT-3 can be used to answer student questions, provide feedback, and even generate content. For example, a student could ask GPT-3 a question about a particular topic, and the chatbot could provide a detailed answer. GPT-3 can also generate essays and other written content, making it a valuable tool for students who struggle with writing.
OpenAI’s impact on e-learning is not limited to the development of ITS and chatbots. The organization is also working on developing AI-powered assessment tools. These tools can be used to evaluate student performance and provide feedback. The tools use machine learning algorithms to analyze student responses and provide feedback that is tailored to the student’s individual needs.
OpenAI’s assessment tools can also be used to identify areas where students are struggling. This information can be used to provide targeted instruction to help students improve their performance. The tools can also be used to identify areas where students are excelling, allowing teachers to provide additional challenges to keep students engaged.
In conclusion, OpenAI is having a significant impact on the future of e-learning. The organization’s development of intelligent tutoring systems, chatbots, and assessment tools is transforming the way students learn. With the use of AI, e-learning is becoming more personalized, efficient, and effective. As OpenAI continues to make strides in the field of AI, the future of e-learning looks bright.
Author adminPosted on July 4, 2023
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The Impact OpenAI Future Elearning satPRnews Skip content satPRnews Space AI Reports Menu News The Impact OpenAI Future Elearning OpenAI Evolution Elearning Artificial intelligence AI making waves industries, field education exception. Elearning, refers use electronic media technology deliver educational content, growing popularity years. With advent AI, elearning poised undergo significant transformation. One key players transformation OpenAI. OpenAI AI research laboratory consisting team experts field AI. Founded 2015 group tech luminaries, including Elon Musk Sam Altman, OpenAI aims create safe beneficial AI benefit humanity whole. The organization making significant strides field AI, impact elearning felt. One ways OpenAI impacting elearning development intelligent tutoring systems ITS. ITS type elearning uses AI provide personalized instruction students. The analyzes students performance adapts instruction individual needs. This personalized approach learning shown effective traditional classroom instruction. OpenAIs ITS designed scalable, meaning millions students once. The uses natural language processing NLP understand students responses provide feedback. The uses machine learning algorithms adapt instruction students learning style. This means provide instruction tailored students individual needs, making learning efficient effective. Another way OpenAI impacting elearning development chatbots. Chatbots AIpowered programs simulate human conversation. OpenAIs chatbot, GPT3, advanced chatbots existence. It understand respond natural language, making ideal use elearning. GPT3 answer student questions, provide feedback, generate content. For example, student ask GPT3 question particular topic, chatbot provide detailed answer. GPT3 generate essays written content, making valuable tool students struggle writing. OpenAIs impact elearning limited development ITS chatbots. The organization working developing AIpowered assessment tools. These tools evaluate student performance provide feedback. The tools use machine learning algorithms analyze student responses provide feedback tailored students individual needs. OpenAIs assessment tools identify areas students struggling. This information provide targeted instruction help students improve performance. The tools identify areas students excelling, allowing teachers provide additional challenges students engaged. In conclusion, OpenAI significant impact future elearning. The organizations development intelligent tutoring systems, chatbots, assessment tools transforming way students learn. With use AI, elearning personalized, efficient, effective. As OpenAI continues strides field AI, future elearning looks bright. Author adminPosted July 4, 2023 Post navigation Previous Previous post: The Advantages VSAT Technology Businesses MaldivesNext Next post: The Importance AI Forest Fire Prevention Management for: Recent Posts Starlink Cost Nigeria: Everything You Need Know Improved Communication Benefits Inmarsat BGAN Secure Communications The Impact Starlink Yunfu, Yunfu Overview Inmarsat MilKa Benefits Agisoft Metashape Professional Floating permanent license The Impact Starlink Internet Service Indianapolis The Importance AI Forest Fire Prevention Management The Impact OpenAI Future Elearning The Advantages VSAT Technology Businesses Maldives News satPRnews Who Proudly powered WordPress
| 2,023 |
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https://scienceblog.com/536470/new-ai-technology-could-change-game-prep-for-super-bowl-teams/
| 2023-02-09T00:00:00 |
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New AI technology could change game prep for Super Bowl teams - ScienceBlog.com
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New AI technology could change game prep for Super Bowl teams - ScienceBlog.com
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New AI technology could change game prep for Super Bowl teams
February 9, 2023 Brigham Young University
BYU engineering professor DJ Lee and his students created an algorithm that can automatically annotate football game film, a time-consuming process that is now done manually.
Players and coaches for the Philadelphia Eagles and Kansas City Chiefs will spend hours and hours in film rooms this week in preparation for the Super Bowl. They’ll study positions, plays and formations, trying to pinpoint what opponent tendencies they can exploit while looking to their own film to shore up weaknesses.
New artificial intelligence technology being developed by engineers at Brigham Young University could significantly cut down on the time and cost that goes into film study for Super Bowl-bound teams (and all NFL and college football teams), while also enhancing game strategy by harnessing the power of big data.
BYU professor D.J. Lee, master’s student Jacob Newman and Ph.D. students Andrew Sumsion and Shad Torrie are using AI to automate the time-consuming process of analyzing and annotating game footage manually. Using deep learning and computer vision, the researchers have created an algorithm that can consistently locate and label players from game film and determine the formation of the offensive team — a process that can demand the time of a slew of video assistants.
“We were having a conversation about this and realized, whoa, we could probably teach an algorithm to do this,” said Lee, a professor of electrical and computer engineering. “So we set up a meeting with BYU Football to learn their process and immediately knew, yeah, we can do this a lot faster.”
While still early in the research, the team has already obtained better than 90% accuracy on player detection and labeling with their algorithm, along with 85% accuracy on determining formations. They believe the technology could eventually eliminate the need for the inefficient and tedious practice of manual annotation and analysis of recorded video used by NFL and college teams.
Lee and Newman first looked at real game footage provided by BYU’s football team. As they started to analyze it, they realized they needed some additional angles to properly train their algorithm. So they bought a copy of Madden 2020, which shows the field from above and behind the offense, and manually labeled 1,000 images and videos from the game.
They used those images to train a deep-learning algorithm to locate the players, which then feeds into a Residual Network framework to determine what position the players are playing. Finally, their neural network uses the location and position information to determine what formation (of more than 25 formations) the offense is using — anything from the Pistol Bunch TE to the I Form H Slot Open.
Lee said the algorithm can accurately identify formations 99.5% when the player location and labeling information is correct. The I Formation, where four players are lined up one in front of the next — center, quarterback, fullback and running back — proved to be one of the most challenging formations to identify.
Lee and Newman said the AI system could also have applications in other sports. For example, in baseball it could locate player positions on the field and identify common patterns to assist teams in refining how they defend against certain batters. Or it could be used to locate soccer players to help determine more efficient and effective formations.
The BYU algorithm is detailed in a journal article “Automated Pre-Play Analysis of American Football Formations Using Deep Learning,” recently published in a special issue of Advances of Artificial Intelligence and Vision Applications in Electronics.
“Once you have this data there will be a lot more you can do with it; you can take it to the next level,” Lee said. “Big data can help us know the strategies of this team, or the tendencies of that coach. It could help you know if they are likely to go for it on 4th Down and 2 or if they will punt. The idea of using AI for sports is really cool, and if we can give them even 1% of an advantage, it will be worth it.”
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New AI technology change game prep Super Bowl teams Skip content Menu Our Bloggers Twitter Google News Substack FaceBook Contribute New AI technology change game prep Super Bowl teams February 9, 2023 Brigham Young University BYU engineering professor DJ Lee students created algorithm automatically annotate football game film, timeconsuming process manually. Players coaches Philadelphia Eagles Kansas City Chiefs spend hours hours film rooms week preparation Super Bowl. Theyll study positions, plays formations, trying pinpoint opponent tendencies exploit looking film shore weaknesses. New artificial intelligence technology developed engineers Brigham Young University significantly cut time cost goes film study Super Bowlbound teams NFL college football teams, enhancing game strategy harnessing power big data. BYU professor D.J. Lee, masters student Jacob Newman Ph.D. students Andrew Sumsion Shad Torrie AI automate timeconsuming process analyzing annotating game footage manually. Using deep learning vision, researchers created algorithm consistently locate label players game film determine formation offensive team process demand time ofa slew video assistants. We conversation realized, whoa, probably teach algorithm this, said Lee, professor electrical engineering. So set meeting BYU Football learn process immediately knew, yeah, lot faster. While early research, team obtained better 90 accuracy player detection labeling algorithm, 85 accuracy determining formations. They believe technology eventually eliminate need inefficient tedious practice manual annotation analysis recorded video NFL college teams. Lee Newman looked real game footage provided BYUs football team. As started analyze it, realized needed additional angles properly train algorithm. So bought copy Madden 2020, shows field offense, manually labeled 1,000 images videos game. They images train deeplearning algorithm locate players, feeds Residual Network framework determine position players playing. Finally, neural network uses location position information determine formation 25 formations offense Pistol Bunch TE I Form H Slot Open. Lee said algorithm accurately identify formations 99.5 player location labeling information correct. The I Formation, players lined center, quarterback, fullback running proved challenging formations identify. Lee Newman said AI applications sports. For example, baseball locate player positions field identify common patterns assist teams refining defend certain batters. Or locate soccer players help determine efficient effective formations. The BYU algorithm detailed journal article Automated PrePlay Analysis American Football Formations Using Deep Learning, recently published special issue Advances Artificial Intelligence Vision Applications inElectronics. Once data lot it; level, Lee said. Big data help know strategies team, tendencies coach. It help know likely 4th Down 2 punt. The idea AI sports cool, 1 advantage, worth it. Related Categories Technology New 3D lidar autonomous driving safer The material press release comes originating research organization. Content edited style length. Want more? Sign daily email. Bloggers Closing Treatment Gap AlcoholAssociated Liver Disease Cold Fusion suppressed technology Natural gas sure getting share attention, lately European cybersecurity getting legs stand Looking ScienceBased Resources Alcohol Health? 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Artificial Intelligence in Security Market Booming by Size, Trends, Top Key players and Forecast to 2026 – Science In Me
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Artificial Intelligence in Security Market Booming by Size, Trends, Top Key players and Forecast to 2026
By Navanath R on April 16, 2020
The Artificial Intelligence in Security Market report provides a fine intelligence that prepares market participants to compete well with their toughest competitors based on growth, sales and other important factors. The research study focuses on key growth opportunities and market trends outside of critical market dynamics, including drivers and market challenges. With the help of this report, interested parties can prepare themselves for developments in the Artificial Intelligence in Security branch and position themselves on the market for the coming years. The report includes market development statistics, a list of selected key players, an in-depth regional analysis and a comprehensive market segmentation study to provide a thorough understanding of the Artificial Intelligence in Security market.
Get | Download Sample Copy @ https://www.verifiedmarketresearch.com/download-sample/?rid=3547&utm_source=SIM&utm_medium=007
The Artificial Intelligence in Security Sales Market Report mainly contains the following Manufacturers:
Threatmetrix
Skycure
Sparkcognition
Samsung Electronics
Micron
IBM
Cylance
Nvidia
Securonix
Intel
Xilinx
Amazon
Antivirus Companies
Acalvio
Sift Science and Darktrace
The report is created using advanced primary and secondary research techniques and sophisticated market analysis tools. Our analysts conduct personal and telephone interviews to gather information about the Artificial Intelligence in Security industry. They also refer to corporate websites, government documents, press releases, annual and financial reports, as well as databases of organizations in authority positions in the Artificial Intelligence in Security industry. We do not include any data or information in the report unless it is checked against reliable bodies.
The report contains a detailed analysis of the competitive landscape and the profiling of the most important competitors on the Artificial Intelligence in Security market. The authors of the report want to give readers a comprehensive assessment of the supplier landscape and inform them about current and future changes. The competition analysis proposed in the report includes the market share, gross margin, product portfolio, consumption, market conditions and technologies of the main players in the Artificial Intelligence in Security market.
The report provides a general explanation of the presence of the Artificial Intelligence in Security market in different regions and countries. With a thorough regional analysis of the Artificial Intelligence in Security market, research analysts are trying to uncover hidden growth prospects available to players from different parts of the world. They accurately estimate market share, CAGR, production, consumption, price, income and other key factors that indicate the growth of the regional markets examined in the report. They also stressed the presence of key players in regional markets and how this affects the growth of regional markets.
Ask for Discount @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=3547&utm_source=SIM&utm_medium=007
What will the report contain?
Market Dynamics: The report contains important information on influencing factors, market drivers, challenges, opportunities and market trends as part of the market dynamics.
Global Market Forecast: Readers receive production and sales forecasts for the Artificial Intelligence in Security market, production and consumption forecasts for regional markets, production, sales and price forecasts for the Artificial Intelligence in Security market by type and consumption forecasts for the Artificial Intelligence in Security market per application.
Regional Market Analysis: It can be divided into two different sections: one for the analysis of regional production and one for the analysis of regional consumption. Here, analysts share gross margin, prices, sales, production, CAGR, and other factors that indicate the growth of all regional markets examined in the report.
Market Competition: In this section, the report provides information on the situation and trends of competition, including mergers and acquisitions and expansion, the market shares of the three or five main players and the concentration of the market. Readers could also get the production, revenue, and average price shares of manufacturers.
Key Players: The report provides company profiles for a decent number of leading players in the Artificial Intelligence in Security market. It shows your current and future market growth taking into account price, gross margin, income, production, service areas, production locations and other factors.
Complete Report is Available @ https://www.verifiedmarketresearch.com/product/global-artificial-intelligence-in-security-market-size-and-forecast-to-2025/?utm_source=SIM&utm_medium=007
We also offer customization on reports based on specific client requirement:
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Analysts with a high level of expertise in data collection and governance use industrial techniques to collect and analyze data in all phases. 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 reports.
Contact us:
Mr. Edwyne FernandesCall: +1 (650) 781 4080Email: [email protected]
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Tags: Artificial Intelligence in Security Market Size, Artificial Intelligence in Security Market Trends, Artificial Intelligence in Security Market Forecast, Artificial Intelligence in Security Market Growth, Artificial Intelligence in Security Market Analysis
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Artificial Intelligence Security Market Booming Size, Trends, Top Key players Forecast 2026 Science In Me Press Enter skip content Science In Me Our Writers Us Science In MeApril 16, 2020Science, Space, Satellite Energy Markets open menu Back Applied Sciences Astronomy Earth Environment Energy Health NASA Space Technology Satellite All News Artificial Intelligence Security Market Booming Size, Trends, Top Key players Forecast 2026 By Navanath R April 16, 2020 The Artificial Intelligence Security Market report provides fine intelligence prepares market participants compete toughest competitors based growth, sales important factors. The research study focuses key growth opportunities market trends outside critical market dynamics, including drivers market challenges. With help report, interested parties prepare developments Artificial Intelligence Security branch position market coming years. The report includes market development statistics, list selected key players, indepth regional analysis comprehensive market segmentation study provide thorough understanding Artificial Intelligence Security market. Get Download Sample Copy @ The Artificial Intelligence Security Sales Market Report mainly contains following Manufacturers: Threatmetrix Skycure Sparkcognition Samsung Electronics Micron IBM Cylance Nvidia Securonix Intel Xilinx Amazon Antivirus Companies Acalvio Sift Science Darktrace The report created advanced primary secondary research techniques sophisticated market analysis tools. Our analysts conduct personal telephone interviews gather information Artificial Intelligence Security industry. They refer corporate websites, government documents, press releases, annual financial reports, databases organizations authority positions Artificial Intelligence Security industry. We include data information report checked reliable bodies. The report contains detailed analysis competitive landscape profiling important competitors Artificial Intelligence Security market. The authors report want readers comprehensive assessment supplier landscape inform current future changes. The competition analysis proposed report includes market share, gross margin, product portfolio, consumption, market conditions technologies main players Artificial Intelligence Security market. The report provides general explanation presence Artificial Intelligence Security market different regions countries. With thorough regional analysis Artificial Intelligence Security market, research analysts trying uncover hidden growth prospects available players different parts world. They accurately estimate market share, CAGR, production, consumption, price, income key factors indicate growth regional markets examined report. They stressed presence key players regional markets affects growth regional markets. Ask Discount @ What report contain? Market Dynamics: The report contains important information influencing factors, market drivers, challenges, opportunities market trends market dynamics. Global Market Forecast: Readers receive production sales forecasts Artificial Intelligence Security market, production consumption forecasts regional markets, production, sales price forecasts Artificial Intelligence Security market type consumption forecasts Artificial Intelligence Security market application. Regional Market Analysis: It divided different sections: analysis regional production analysis regional consumption. Here, analysts share gross margin, prices, sales, production, CAGR, factors indicate growth regional markets examined report. Market Competition: In section, report provides information situation trends competition, including mergers acquisitions expansion, market shares main players concentration market. Readers production, revenue, average price shares manufacturers. Key Players: The report provides company profiles decent number leading players Artificial Intelligence Security market. It shows current future market growth taking account price, gross margin, income, production, service areas, production locations factors. Complete Report Available @ We offer customization reports based specific client requirement: 1 Free country level analysis 5 countries choice. 2 Free Competitive analysis market players. 3 Free 40 analyst hours cover data points About us: Verified market research partners customer offer insight strategic growth analyzes, Data necessary achieve corporate goals objectives. Our core values trust, integrity authenticity customers. Analysts high level expertise data collection governance use industrial techniques collect analyze data phases. Our analysts trained combine modern data collection techniques, superior research methodology, expertise years collective experience produce informative accurate research reports. us: Mr. Edwyne FernandesCall: 1 650 781 4080Email: [emailprotected] Get Our Trending Report Tags: Artificial Intelligence Security Market Size, Artificial Intelligence Security Market Trends, Artificial Intelligence Security Market Forecast, Artificial Intelligence Security Market Growth, Artificial Intelligence Security Market Analysis Author Recent Posts Navanath R Latest posts Navanath R Alarelin Market Booming Size, Trends, Top Key players Forecast 2026 April 16, 2020 Xylitol Market Booming Size, Trends, Top Key players Forecast 2026 April 16, 2020 Ofloxacin Market Booming Size, Trends, Top Key players Forecast 2026 April 16, 2020 Published All News Artificial Intelligence Security MarketArtificial Intelligence Security Market AnalysisArtificial Intelligence Security Market ForecastArtificial Intelligence Security Market GrowthArtificial Intelligence Security Market SizeArtificial Intelligence Security Market Trends Navanath R More All NewsMore posts All News Alarelin Market Booming Size, Trends, Top Key players Forecast 2026Xylitol Market Booming Size, Trends, Top Key players Forecast 2026Natural Fertilizer Market 2020 Business Outlook, Growth, Revenue, Trends Forecasts 2025 Potash Corp., ScottsMiracleGro, Sustane Natural Fertilizers, BioStar Organics, Talborne OrganicsOfloxacin Market Booming Size, Trends, Top Key players Forecast 2026 Alarelin Market Booming Size, Trends, Top Key players Forecast 2026Alarelin Market Booming Size, Trends, Top Key players Forecast 2026By Navanath RThe Alarelin Market report provides fine intelligence prepares market participants compete toughest competitors based growth, sales other... Comments closed Xylitol Market Booming Size, Trends, Top Key players Forecast 2026Xylitol Market Booming Size, Trends, Top Key players Forecast 2026By Navanath RThe Xylitol Market report provides fine intelligence prepares market participants compete toughest competitors based growth, sales other... Comments closed Natural Fertilizer Market 2020 Business Outlook, Growth, Revenue, Trends Forecasts 2025 Potash Corp., ScottsMiracleGro, Sustane Natural Fertilizers, BioStar Organics, Talborne OrganicsNatural Fertilizer Market 2020 Business Outlook, Growth, Revenue, Trends Forecasts 2025 Potash Corp., ScottsMiracleGro, Sustane Natural Fertilizers, BioStar Organics, Talborne OrganicsBy Qurate Business IntelligenceNatural Fertilizer Market 2020 report share informative data figures important insights market component considered be... Comments closed Ofloxacin Market Booming Size, Trends, Top Key players Forecast 2026Ofloxacin Market Booming Size, Trends, Top Key players Forecast 2026By Navanath RThe Ofloxacin Market report provides fine intelligence prepares market participants compete toughest competitors based growth, sales other... Comments closed Amyloid Peptides Market Booming Size, Trends, Top Key players Forecast 2026Amyloid Peptides Market Booming Size, Trends, Top Key players Forecast 2026By Navanath RThe Amyloid Peptides Market report provides fine intelligence prepares market participants compete toughest competitors based growth, sales and... Comments closed Science In Me Science, Space, Satellite Energy Markets Our Writers Us Mission News Theme Compete Themes.
| 2,020 |
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] | 1 | 197,963 |
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| 2020-09-17T00:00:00 |
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Artificial Intelligence(AI) in Retail Market R & D including top key players IBM, Google, Amazon Web Services, Microsoft, Intel, Nvidia, Salesforce, SAP, Oracle, Sentient Technologies, Visenze – Scientect
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Artificial Intelligence(AI) in Retail Market R & D including top key players IBM, Google, Amazon Web Services, Microsoft, Intel, Nvidia, Salesforce, SAP, Oracle, Sentient Technologies, Visenze
john September 17, 2020
It’s very difficult times ahead for human-kind for we are fighting two pandemics simultaneously. Health & Economy. Salute to all healthcare professionals across the globe, who have dived headfirst selflessly into this tough battle to keep us breathing. We at JCMR, on the other hand, are fighting the “battle to save industry sectors and companies therein from a literal meltdown”. With critical supply and demand lines severely impaired, we have deployed on war-footing our research folks, industry consultants, SMEs and vertical evangelists to aid CxOs across the globe in doing whatever it takes to help them keep their lights on in this difficult hour. The battle is just starting to heat up… even In this situation our research team managed to gather latest information about Global Artificial Intelligence(AI) in Retail Market report while evaluating the market, highlighting opportunities, risk side analysis, and leveraged with strategic and tactical decision-making support. The study provides information on market trends and development, drivers, capacities, technologies, and on the changing dynamics of Global Artificial Intelligence(AI) in Retail Market Report.
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If you are involved in the Global Artificial Intelligence(AI) in Retail Market industry or intend to be, then this study will provide you comprehensive outlook. It’s vital you keep your market knowledge up to date segmented by major players. If you have a different set of players/manufacturers according to geography or needs regional or country segmented reports, we can provide customization according to your requirement.
Competition Analysis:
Our research coverage is very vast and while evaluating the market we have analyzed 100+ key players in Global Artificial Intelligence(AI) in Retail Market report so we can provide you additional profiling as per your interest. Some of key competitors or manufacturers included in the study are IBM, Google, Amazon Web Services, Microsoft, Intel, Nvidia, Salesforce, SAP, Oracle, Sentient Technologies, Visenze,
Artificial Intelligence(AI) in Retail Market Analysis by Types: Online, Offline,
Artificial Intelligence(AI) in Retail Market Analysis by Applications: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Other,
There’s no additional charge for the Report customization @jcmarketresearch.com/report-details/1120383/enquiry
Artificial Intelligence(AI) in Retail Market Analysis by Geographies from 2013 forecast till 2029:
North America
Europe
Asia Pacific
South America
Middle East
and Africa
US
Germany
China
Brazil
GCC
Canada
France
India
Argentina
South Africa
Mexico
UK
Japan
Rest of South
America
Rest of MEA
Italy
Australia
Russia
Rest of
Asia Pacific
Rest of Europe
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Some of the Points cover in Global Artificial Intelligence(AI) in Retail Market Research Report is:
Chapter 1: Overview of Global Artificial Intelligence(AI) in Retail Market (2013-2029)
• Definition
• Specifications
• Classification
• Applications
• Regions
Chapter 2: Global Artificial Intelligence(AI) in Retail Market Competition by Players/Suppliers 2013 and 2020
• Manufacturing Cost Structure
• Raw Material and Suppliers
• Manufacturing Process
• Industry Chain Structure
Chapter 3: Global Artificial Intelligence(AI) in Retail Market Sales (Volume) and Revenue (Value) by Region (2013-2020)
• Sales
• Revenue and market share
Chapter 4, 5 and 6: Global Artificial Intelligence(AI) in Retail Market by Type, Application & Players/Suppliers Profiles (2013-2020)
• Market Share by Type & Application
• Growth Rate by Type & Application
• Drivers and Opportunities
• Company Basic Information
Chapter 7, 8 and 9: Global Artificial Intelligence(AI) in Retail Market Manufacturing Cost, Sourcing & Marketing Strategy Analysis
• Key Raw Materials Analysis
• Upstream Raw Materials Sourcing
• Marketing Channel
Chapter 10 and 11: Artificial Intelligence(AI) in Retail Market Effect Factors Analysis and Market Size (Value and Volume) Forecast (2020-2029)
• Technology Progress/Risk
• Sales Volume, Revenue Forecast (by Type, Application & Region)
Chapter 12, 13, 14 and 15: Artificial Intelligence(AI) in Retail Market Research Findings and Conclusion, appendix and data source
• Methodology/Research Approach
• Data Source (Secondary Sources & Primary Sources)
• Market Size Estimation
Complete report on Global Artificial Intelligence(AI) in Retail Market report spread across 250+ pages, list of tables & figures, profiling 15+ companies. Select license version and Buy this updated Research Report Directly @ jcmarketresearch.com/checkout/1120383
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Artificial Intelligence(AI) in Retail Market R & D including top key players IBM, Google, Amazon Web Services, Microsoft, Intel, Nvidia, Salesforce, SAP, Oracle, Sentient Technologies, Visenze
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Artificial IntelligenceAI Retail Market R D including key players IBM, Google, Amazon Web Services, Microsoft, Intel, Nvidia, Salesforce, SAP, Oracle, Sentient Technologies, Visenze Scientect Skip content Menu Energy News Space Uncategorized Market Reports for: Scientect Scientect Market Research Menu Energy News Space Uncategorized Market Reports for: Flash News Magnetic Heating Agitator Industry: Global Market Size, Growth, Trends 2024 Forecast Report WoodFlooring Adhesives Market Strategies Forecasts, 2019 2025 New Trends Pitson Vibrator Market Worldwide Industry Analysis 2025 Technological advancements Propel Growth Spiral Cooler Market Upcoming Years 20182026 Global Rubber Testing Instruments Market 20202024 Industry Applications, Products Key Players Alpha Technologies, TA Instruments, Qualitest, Elektron Technology, More N,NMethylene Bisacrylamide MBA Market Ecosystem Segmentation, Opportunities Companies CYTEC, SNF, MCC UNITEC, Haicheng Sanyang, More Vertical Reciprocating Air Compressors Market Forecasts Growth, 20192026 Autoimmune Disease Treatment Market 2019 Players, Size, CAGR, Applications, Types, Analysis, Trends, Forecast 2023 Styrenebased TPE Market Share, Growth Top Company, Region, Applications, Drivers, Trends Forecast 2025 Medical Gases Flowmeters Market Risk Analysis 20192025 Thursday, September 17, 2020 News Uncategorized Artificial IntelligenceAI Retail Market R D including key players IBM, Google, Amazon Web Services, Microsoft, Intel, Nvidia, Salesforce, SAP, Oracle, Sentient Technologies, Visenze john September 17, 2020 Its difficult times ahead humankind fighting pandemics simultaneously. Health Economy. Salute healthcare professionals globe, dived headfirst selflessly tough battle breathing. We atJCMR, hand, fighting battle save industry sectors companies literal meltdown. With critical supply demand lines severely impaired, deployed warfooting research folks, industry consultants, SMEs vertical evangelists aid CxOs globe takes help lights difficult hour. The battle starting heat In situation research team managed gather latest information aboutGlobal Artificial IntelligenceAI Retail Marketreport evaluating market, highlighting opportunities, risk analysis, leveraged strategic tactical decisionmaking support. The study provides information market trends development, drivers, capacities, technologies, changing dynamics ofGlobal Artificial IntelligenceAI Retail MarketReport. Download Instant sample now@reportdetails1120383sample If involved theGlobal Artificial IntelligenceAI Retail Marketindustry intend be, study provide comprehensive outlook. Its vital market knowledge date segmented major players. If different set playersmanufacturers according geography needs regional country segmented reports, provide customization according requirement. Competition Analysis: Our research coverage vast evaluating market analyzed100key players inGlobal Artificial IntelligenceAI Retail Marketreport provide additional profiling interest. Some key competitors manufacturers included study areIBM, Google, Amazon Web Services, Microsoft, Intel, Nvidia, Salesforce, SAP, Oracle, Sentient Technologies, Visenze, Artificial IntelligenceAI RetailMarket Analysis Types:Online, Offline, Artificial IntelligenceAI RetailMarket Analysis Applications:Predictive Merchandising, Programmatic Advertising, Market Forecasting, InStore Visual Monitoring Surveillance, LocationBased Marketing, Other, Theres additional charge Report customization Artificial IntelligenceAI Retail Market Analysis Geographies 2013 forecast till 2029: North America Europe Asia Pacific South America Middle East Africa US Germany China Brazil GCC Canada France India Argentina South Africa Mexico UK Japan Rest South America Rest MEA Italy Australia Russia Rest Asia Pacific Rest Europe Global Artificial IntelligenceAI Retail Market Get Exclusive Discount@reportdetails1120383discount Some Points cover Global Artificial IntelligenceAI Retail Market Research Report is: Chapter 1: Overview Global Artificial IntelligenceAI Retail Market 20132029 Definition Specifications Classification Applications Regions Chapter 2: Global Artificial IntelligenceAI Retail Market Competition PlayersSuppliers 2013 2020 Manufacturing Cost Structure Raw Material Suppliers Manufacturing Process Industry Chain Structure Chapter 3: Global Artificial IntelligenceAI Retail Market Sales Volume Revenue Value Region 20132020 Sales Revenue market share Chapter 4, 5 6: Global Artificial IntelligenceAI Retail Market Type, Application PlayersSuppliers Profiles 20132020 Market Share Type Application Growth Rate Type Application Drivers Opportunities Company Basic Information Chapter 7, 8 9: Global Artificial IntelligenceAI Retail Market Manufacturing Cost, Sourcing Marketing Strategy Analysis Key Raw Materials Analysis Upstream Raw Materials Sourcing Marketing Channel Chapter 10 11: Artificial IntelligenceAI Retail Market Effect Factors Analysis Market Size Value Volume Forecast 20202029 Technology ProgressRisk Sales Volume, Revenue Forecast Type, Application Region Chapter 12, 13, 14 15: Artificial IntelligenceAI Retail Market Research Findings Conclusion, appendix data source MethodologyResearch Approach Data Source Secondary Sources Primary Sources Market Size Estimation Complete report onGlobal Artificial IntelligenceAI Retail Marketreport spread across250s, list tables figures, profiling 15 companies. Select licenseversion Buy updated Research Report Directly@checkout1120383 Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. About Author: JCMR global research market intelligence consulting organization uniquely positioned identify growth opportunities empower inspire create visionary growth strategies futures, enabled extraordinary depth breadth thought leadership, research, tools, events experience assist making goals reality. Our understanding interplay industry convergence, Mega Trends, technologies market trends provides clients new business models expansion opportunities. We focused identifying Accurate Forecast industry cover clients reap benefits early market entrants accomplish Goals Objectives. Us: JCMARKETRESEARCH Mark Baxter Head Business Development Phone:1 925 4787203 Email:[emailprotected] Connect atLinkedIn Amazon Web ServicesArtificial IntelligenceAI RetailArtificial IntelligenceAI Retail market Covid 19Artificial IntelligenceAI Retail market Before COVID 19Artificial IntelligenceAI Retail market ApplicationArtificial IntelligenceAI Retail market Covid 19 impactArtificial IntelligenceAI Retail Market DevelopmentArtificial IntelligenceAI Retail market FutureArtificial IntelligenceAI Retail market growthArtificial IntelligenceAI Retail market AsiaArtificial IntelligenceAI Retail market AustraliaArtificial IntelligenceAI Retail market EuropeArtificial IntelligenceAI Retail market IndiaArtificial IntelligenceAI Retail market Key CountriesArtificial IntelligenceAI Retail market north AmericaArtificial IntelligenceAI Retail market UkArtificial IntelligenceAI Retail market USArtificial IntelligenceAI Retail Market Latest ReportArtificial IntelligenceAI Retail market SWOT analysisArtificial IntelligenceAI Retail market Top ManufacturersArtificial IntelligenceAI Retail Sales marketglobal Artificial IntelligenceAI Retail Market rising trendsGoogleIBMIntelMicrosoftNvidiaOracleSalesforceSAPSentient TechnologiesVisenze Post navigation Fetal Neonatal Critical Care Equipment Market Analysis Report Promising Industry Bright Future A Report By Atom Medical Corporation, BD, Drgerwerk AG Co. KGaAGlobal aerospace composites market size USD 14.66 billion 2018, projected reach USD 29.69 billion 2026, exhibiting CAGR 9.27 forecast period. for: Proudly powered WordPress Theme: TimesNews By . Go Top
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https://shanghai.ist/2022/08/10/legal-ai-software-market-analysis-by-trends-size-share-company-overview-growth-and-forecast-by-2031/
| 2022-08-10T00:00:00 |
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Legal AI Software Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031 – Shanghaiist
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Legal AI Software Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031 – Shanghaiist
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Home/News/Legal AI Software Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031
Legal AI Software Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031
IBM (United States), OpenText (United States), Thomson Reuters (United States), Veritone (United States), ROSS Intelligence (United States), Luminance (United States), LexisNexis (United States), Neota Logic (United States), Everlaw (United States), Legalsifter (United States), Pensieve (India), Cognitiv+ (UK), Casetext (United States), Klarity (United States), Omni Software Systems (United States), Nalanda Technology (UK), LawGeex (Israel), Kira (United States), CaseMine (India)
Carl AllisonAugust 10, 2022 0
Legal AI Software report aims to facilitate business growth with in-depth understanding of business fundamentals including current growth, key trends, drivers, cost-analysis, future projections, and key segments. The report will provide a thorough analysis of each segment in the Legal AI Software, including customized regional analysis for acquiring business opportunities in the concerned geographic area. This report can be customized to meet syndicate research needs for informing the public at large or specifically customized to meet core business objectives of growth. Each research report prepared by the team consists of 15 research experts, with years of hands-on experience in the relevant area, and specialized research tools to help them meet their objectives. We aims to provide an independent analysis of various markets to provide an easy-to-understand, dynamic, and objective analysis of the relevant market to interested stakeholders.
The report is an instrument for global businesses to enter new regions, invest in new segments, understand consumer response, survey global competition, and ultimately, to invest wisely. The report can also be used for educational purposes to inform the public at large. The tool is ideal as an instrument to create solidarity between team employees with transparency in business objectives, and goal-setting in relation to a company’s swot analysis.
Request for free sample @ : marketreports.info/sample/318/Legal-AI-Software
Legal AI Software market key players:
IBM (United States), OpenText (United States), Thomson Reuters (United States), Veritone (United States), ROSS Intelligence (United States), Luminance (United States), LexisNexis (United States), Neota Logic (United States), Everlaw (United States), Legalsifter (United States), Pensieve (India), Cognitiv+ (UK), Casetext (United States), Klarity (United States), Omni Software Systems (United States), Nalanda Technology (UK), LawGeex (Israel), Kira (United States), CaseMine (India)
Global Legal AI Software market segmentation:
By ApplicationeDiscoveryLegal ResearchContract ManagementComplianceCase PredictionOthersBy Deployment ModeCloudOn-premisesBy ServicesProfessional ServicesManaged ServicesBy SolutionsSoftware solutionsPlatformBy TechnologyMachine Learning and Deep LearningNatural Language ProcessingBy ComponentSolutionsServicesBy End UserCorporate Legal DepartmentsLaw FirmsOthers
Legal AI Software market: key features
The report throws light on the competitive landscape, segmentation, geographical expansion, and revenue, production, and consumption growth of the Legal AI Software market. Legal AI Software market size, growth analysis, industry trend, and forecast, offers details of the factors influencing the global business scope. This report provides future products, joint ventures, marketing strategy, developments, mergers and acquisitions, marketing, promotions, revenue, import, export, cagr values, the industry as a whole, and the particular competitors faced are also studied in the large-scale market.
Legal AI Software market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, production sites and facilities, company strengths and weaknesses, product launch, product trials pipelines, product approvals, patents, product width and breath, application dominance, technology lifeline curve. The data points provided are only related to the company’s focus related to Legal AI Software market. Leading global Legal AI Software market players and manufacturers are studied to give a brief idea about competitions.
Latest news and industry developments in terms of market expansions, acquisitions, growth strategies, joint ventures and collaborations, product launches, market expansions etc. Are included in the report. The report focuses on the operation and their competitive landscape present within the market. Identification of numerous key players of the market will help the reader perceive the ways and collaborations that players will need to understand the competition within the global Legal AI Software market.
Legal AI Software market report provides depth analysis of the market recent developments and comprehensive competitive landscape created by the covid19/corona virus pandemic. Legal AI Software market report is helpful for strategists, marketers and senior management, and key players in Legal AI Software industry.
Market dynamics of Legal AI Software market
Global Legal AI Software market report has the best research offerings and the required critical information for looking new product trends or competitive analysis of an existing or emerging market. Companies can sharpen their competitive edge again and again with this business report. The report comprises of expert insights on global industries, products, company profiles, and market trends. Users can gain unlimited, company-wide access to a comprehensive catalog of industry-specific market research from this industry analysis report. The market report examines industries at a much higher level than an industry study.
Table of content: global Legal AI Software market research report
Chapter 1: global Legal AI Software industry overview
Chapter 2: global economic impact on Legal AI Software market
Chapter 3: global market size competition by industry producers
Chapter 4: global productions, revenue (value), according to regions
Chapter 5: global supplies (production), consumption, export, import, geographically
Chapter 6: global productions, revenue (value), price trend, product type
Chapter 7: global market analysis, on the basis of application
Chapter 8: Legal AI Software market industry value chain
Chapter 9: Legal AI Software market chain, sourcing strategy, and downstream buyers
Chapter 10: strategies and key policies by distributors/suppliers/traders
Chapter 11: key economic indicators, by market vendors
Chapter 12: market effect factors analysis
Chapter 13: global Legal AI Software market forecast period
Chapter 14: future of the market
Chapter 15: appendix
Global Legal AI Software market: regional analysis
The research report includes specific segments by region (country), by company, by type and by application. This study provides information about the sales and revenue during the historic and forecasted period of 2022 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
North America (United States, Canada And Mexico)
Europe (Germany, Uk, France, Italy, Russia And Turkey Etc.)
Asia-pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia And Vietnam)
South America (Brazil Etc.)
Middle East And Africa (Egypt And Gcc Countries)
This comprehensive report will provide:
Enhance your strategic decision making
Assist with your research, presentations, and business plans
Show which emerging market opportunities to focus on
Increase your industry knowledge
Keep you up-to-date with crucial market developments
Allow you to develop informed growth strategies
Build your technical insight
Illustrate trends to exploit
Strengthen your analysis of competitors
Provide risk analysis, helping you avoid the pitfalls other companies could make
Ultimately, help you to maximize profitability for your company.
Our market research solution provides you answer to below mentioned question:
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Legal AI Software Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031
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Legal AI Software Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031 Shanghaiist Entertainment Health News Science Technology World Press Release Subscription Menu HomeNewsLegal AI Software Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031 Legal AI Software Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031 IBM United States, OpenText United States, Thomson Reuters United States, Veritone United States, ROSS Intelligence United States, Luminance United States, LexisNexis United States, Neota Logic United States, Everlaw United States, Legalsifter United States, Pensieve India, Cognitiv UK, Casetext United States, Klarity United States, Omni Software Systems United States, Nalanda Technology UK, LawGeex Israel, Kira United States, CaseMine India Carl AllisonAugust 10, 2022 0 Legal AI Software report aims facilitate business growth indepth understanding business fundamentals including current growth, key trends, drivers, costanalysis, future projections, key segments. The report provide thorough analysis segment Legal AI Software, including customized regional analysis acquiring business opportunities concerned geographic area. This report customized meet syndicate research needs informing public large specifically customized meet core business objectives growth. Each research report prepared team consists 15 research experts, years handson experience relevant area, specialized research tools help meet objectives. We aims provide independent analysis markets provide easytounderstand, dynamic, objective analysis relevant market interested stakeholders. The report instrument global businesses enter new regions, invest new segments, understand consumer response, survey global competition, ultimately, invest wisely. The report educational purposes inform public large. The tool ideal instrument create solidarity team employees transparency business objectives, goalsetting relation companys swot analysis. Request free sample @ : marketreports.infosample318LegalAISoftware Legal AI Software market key players: IBM United States, OpenText United States, Thomson Reuters United States, Veritone United States, ROSS Intelligence United States, Luminance United States, LexisNexis United States, Neota Logic United States, Everlaw United States, Legalsifter United States, Pensieve India, Cognitiv UK, Casetext United States, Klarity United States, Omni Software Systems United States, Nalanda Technology UK, LawGeex Israel, Kira United States, CaseMine India Global Legal AI Software marketsegmentation: By ApplicationeDiscoveryLegal ResearchContract ManagementComplianceCase PredictionOthersBy Deployment ModeCloudOnpremisesBy ServicesProfessional ServicesManaged ServicesBy SolutionsSoftware solutionsPlatformBy TechnologyMachine Learning Deep LearningNatural Language ProcessingBy ComponentSolutionsServicesBy End UserCorporate Legal DepartmentsLaw FirmsOthers Legal AI Software market: key features The report throws light competitive landscape, segmentation, geographical expansion, revenue, production, consumption growth Legal AI Software market. Legal AI Software market size, growth analysis, industry trend, forecast, offers details factors influencing global business scope. This report provides future products, joint ventures, marketing strategy, developments, mergers acquisitions, marketing, promotions, revenue, import, export, cagr values, industry whole, particular competitors faced studied largescale market. Legal AI Software market competitive landscape provides details competitor. Details included company overview, company financials, revenue generated, market potential, investment research development, new market initiatives, production sites facilities, company strengths weaknesses, product launch, product trials pipelines, product approvals, patents, product width breath, application dominance, technology lifeline curve. The data points provided related companys focus related Legal AI Software market. Leading global Legal AI Software market players manufacturers studied brief idea competitions. Latest news industry developments terms market expansions, acquisitions, growth strategies, joint ventures collaborations, product launches, market expansions etc. Are included report. The report focuses operation competitive landscape present market. Identification numerous key players market help reader perceive ways collaborations players need understand competition global Legal AI Software market. Legal AI Software market report provides depth analysis market recent developments comprehensive competitive landscape created covid19corona virus pandemic. Legal AI Software market report helpful strategists, marketers senior management, key players Legal AI Software industry. Market dynamics Legal AI Software market Global Legal AI Software market report best research offerings required critical information looking new product trends competitive analysis existing emerging market. Companies sharpen competitive edge business report. The report comprises expert insights global industries, products, company profiles, market trends. Users gain unlimited, companywide access comprehensive catalog industryspecific market research industry analysis report. The market report examines industries higher level industry study. Table content: global Legal AI Software market research report Chapter 1: global Legal AI Software industry overview Chapter 2: global economic impact Legal AI Software market Chapter 3: global market size competition industry producers Chapter 4: global productions, revenue value, according regions Chapter 5: global supplies production, consumption, export, import, geographically Chapter 6: global productions, revenue value, price trend, product type Chapter 7: global market analysis, basis application Chapter 8: Legal AI Software market industry value chain Chapter 9: Legal AI Software market chain, sourcing strategy, downstream buyers Chapter 10: strategies key policies distributorssupplierstraders Chapter 11: key economic indicators, market vendors Chapter 12: market effect factors analysis Chapter 13: global Legal AI Software market forecast period Chapter 14: future market Chapter 15: appendix Global Legal AI Software market: regional analysis The research report includes specific segments region country, company, type application. This study provides information sales revenue historic forecasted period 2022 2030. Understanding segments helps identifying importance different factors aid market growth. North America United States, Canada And Mexico Europe Germany, Uk, France, Italy, Russia And Turkey Etc. Asiapacific China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia And Vietnam South America Brazil Etc. Middle East And Africa Egypt And Gcc Countries This comprehensive report provide: Enhance strategic decision making Assist research, presentations, business plans Show emerging market opportunities focus rease industry knowledge Keep uptodate crucial market developments Allow develop informed growth strategies Build technical insight Illustrate trends exploit Strengthen analysis competitors Provide risk analysis, helping avoid pitfalls companies Ultimately, help maximize profitability company. Our market research solution provides answer mentioned question: Which driving factors responsible growth market? Which roadblock factors market? What new opportunities, market grow coming years? What trends market? Which main factors responsible new product launches? How big global regional markets terms revenue, sales, production? How far market grow forecast period terms revenue, sales, production? Which region dominating global market market shares region overall market 2022? How segment grow forecast period revenue segments account 2028? Which region opportunities? Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. : Marketreports.info Credible Source Gaining Market Reports provide Lead Your Business Needs. The market changing rapidly ongoing expansion industry. Advancement technology provided todays businesses multifaceted advantages resulting daily economic shifts. Thus, important company comprehend patterns market movements order strategize better. An efficient strategy offers companies head start planning edge competitors. Us Market Reports Phone UK: 44 141 628 5998 Email: sales Web: Carl AllisonAugust 10, 2022 0 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print Carl Allison Research Reports offers comprehensive database syndicated research studies, customized reports, consulting services. These reports created help making smart, instant, crucial decisions based extensive indepth quantitative information, supported extensive analysis industry insights. Our dedicated inhouse team ensures reports satisfy requirement client. We aim providing value service clients. Our reports backed extensive industry coverage sure importance specific needs clients. The main idea enable clients informed decision, keeping date latest trends market. Related Articles Karl Fischer Moisture Titrators Market Size And Forecast Metrohm, Mettler Toledo, Kyoto Electronics ManufacturingKEM, Hach, ECH Elektrochemie Halle, Hitachi High Tech, Xylem, Mitsubishi Chemical, Hiranuma Sangyo, Hanna Instruments August 1, 2022 LED Driver Lighting Market Size, Share Global Report Key Players Analysis Koninklijke Philips N.V., Osram GmbH, Harvard Engineering, Texas Instruments, ., Maxim Integrated, ., Macroblock, ., Atmel Corporation, General Electric, Cree, ., Rohm Semiconductors, On Semiconductor, AC Electronics August 8, 2022 carbon sulfur analyzer Market Size And Forecast HORIBA Scientific, ERALY Associs, Bruker Elemental GmbH, Nanjing Qilin Scientific Instrument, Analytik Jena, UTherm International H.K., Rigaku Corporation, Hermo Scientific, Eltra GmbH, Shanghai Keguo Instruments August 4, 2022 Real Stone Paint Market Size And Forecast SKK, Sto, SUZUKA, JiuNuo, Asia, First, Seigneurle, KUCK, Maydos, Homesky August 2, 2022 Recent News August 10, 2022 Commercial Drone Software Market Size Revenue Analysis August 10, 2022 Helicopter Cameras Market Analysis By Trends, Size, Share, Company Overview, Growth And Forecast By 2031 August 10, 2022 B2B Virtual Card Market Key Trends And Opportunity Areas August 10, 2022 AI Food Beverage Market Major Technology Giants Buzz Again August 10, 2022 Nutrition Analysis Software Market Innovative Strategy 2031 August 10, 2022 Digital Transformation Hospitality Management Market SWOT Analysis August 10, 2022 Inkjet Marking Coding Machines Market Research Clinical Advancements 2031 August 10, 2022 Global Good Manufacturing Practice Market Insights Report 2022, Trends Opportunities 2031 August 10, 2022 Strategic Sourcing Application Market COVID 19 Impacted InDepth Analysis August 10, 2022 Voice Picking Solution Market Future Scope August 10, 2022 Labeling Software Market Investment Analysis August 10, 2022 Intelligent Transportation Systems Latest Trend August 10, 2022 Gymnastics Software COVID19 Witness Astonishing Growth Forecast 20222031 August 10, 2022 Digital Commerce Applications Market increasing demand Industry Professionals August 10, 2022 Global Regulatory Change Management Software Market To Witness Huge Gains Over 20222031 Facebook Twitter WhatsApp Telegram Back button Close for: Close
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ChatGPT-Powered Travel Planning Chatbots Spur Entrepreneurs to Get in the Game
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ChatGPT-Powered Travel Planning Chatbots Spur Entrepreneurs to Get in the Game
Justin Dawes, Skift
April 20th, 2023 at 2:00 AM EDT
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With the energy going into some of these travel planning assistants, how long before travel agents are out of jobs? Probably not tomorrow, but what about in a few years?
Justin Dawes
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There are so many startups and other companies developing products powered by generative AI that it’s hard to keep track.
It is getting to be the same in travel as more big and small companies announce their chatbots for consumers, and others share news about business-to-business products for internal use.
Some seem to be more serious ventures while others seem to be a bit gimmicky. Regardless, there is no way all of the ventures can survive, and it may take a miracle for any of the consumer travel assistants to compete in the long term with the ones being spearheaded by the online travel agencies. One, because the big companies have more resources, and two, because they own huge amounts of data.
Still, some other companies may carve a space for themselves if they do it right. Many are trying.
Below are highlights of a few companies working on technologies for travel planning and booking that integrate ChatGPT.
GuideGeek
One of the seemingly more promising ventures in this area is an early version of a travel planning assistant called GuideGeek, a chatbot powered by ChatGPT that operates through WhatsApp. It was released recently by Matador Network, an independent travel media publisher.
Through the text conversation format, the user can ask the GuideGeek chatbot for planning suggestions. And through an early partnership with Skyscanner, the chatbot can deliver specific information about flights and their cost, as well as links to book on the Skyscanner website.
GuideGeek’s long-term goal is that travelers would use it as a go-to tool for trip planning and booking, according to Ross Borden, CEO of Matador Network. The aim is that the chatbot will be able to offer detailed, personalized trip suggestions based on the user’s history, complete with information about booking costs and more.
The company plans to integrate its own data into the platform to help inform users as they plan trips. The thousands of short-form videos the company owns — which have garnered a combined nearly 10 million followers on TikTok through a few growing brands — could be used to provide a video roundup and help a user make a planning decision, for example.
GuideGeek will remain free for consumers, Borden said. Matador has a plan to monetize through business-to-business relationships. The company works with more than 200 destination marketing organizations worldwide and plans to launch the tech on their platforms this summer, for example, he said.
“This represents an unbelievable opportunity for each [destination marketing organization] to have 1:1 relationships with each and every traveler who expresses interest in visiting their destination,” Borden stated in an email.
The company has big plans for the role of this program within its company. Six of Matador’s 72 team members are dedicated to GuideGeek, and there will likely be more than 20 by the end of the year, said Ross Borden, the company’s CEO.
“All of our teams are contributing to GuideGeek’s success in some way and a lot of their work will eventually converge with this product or be integrated into it,” Borden said.
Same as everything powered by generative AI right now — developers are still working out the kinks. The chatbot told me that it had booked a hotel and that a confirmation email would be arriving shortly when that, in fact, is not possible at the moment.
Affordable Balaton Accommodations and Adventures
On a much smaller scale, the Affordable Balaton Accommodations and Adventures (Balatoni Szállások és Kalandok) platform launched several weeks ago as a way for travelers to plan and book trips to the popular Balaton region of Hungary.
The platform is using AI from ChatGPT to power a generative AI chatbot to help users plan a trip to the region with suggestions for things to do and places to see. Users can access “Anna,” the AI chatbot assistant, on the contact page.
Like many of the travel planning chatbots right now, it seems pretty unhelpful except with the early planning stages. But the company is working on strengthening the capability as it gathers more data from users, said Péter Márkus, the founder of the platform.
“Our goal is to popularize the spirit of Balaton, making it accessible and enjoyable for everyone while leveraging the latest technology,” Márkus stated in an email.
He said the AI from ChatGPT is being integrated into other areas of the website, as well, including to automate various background processes and to help registered travel suppliers answer technical questions on the back end of the platform.
Roam Around
Roam Around is another travel planning chatbot assistant in development.
Currently a one-man show by founder Shie Gabbai, the plan is to create a platform meant to do essentially do what a travel agent does, remembering and factoring in details such as dietary requirements and transportation preferences. The plan, similar to others, is that the platform will be connected to travel suppliers, so the bookings can be completed within the app rather than through links.
He is also working on adding a group chat element for easier group travel planning.
“Where I really see opportunity for Roam Around is for the long tail, for the cities that I’ve never heard of or like cities that big publications won’t cover,” Gabbai said.
“I think that there are other competitors in the space that have more and more features. But what I really tried to laser focus on is the user experience, how to make this as simple as possible, as seamless as possible,” he said.
Gabbai has spent his career working in business-to-business customer service, including for Google and Disney. He had started building a chatbot for customer support utilizing ChatGPT, but he decided that the technology is too new to adequately power what he wanted to create. That’s when he realized there could be a bigger opportunity with travel planning and booking. He has worked with contractors to write the code for Roam Around, and he now is considering bringing on a technical co-founder.
The travel planning assistant can be used now, though its functionality is limited. It can make recommendations and provide links for bookings, but it can be more difficult to get to that stage than with some of the other platforms. He said the platform has generated more than 4 million itineraries so far.
Despite a growing number of competitors, he is optimistic about the future.
“As a burgeoning industry, we’re still in the positive-sum phase where every new entrant only adds value to the whole,” Gabbai said.
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Justin Dawes, Skift
April 20th, 2023 at 2:00 AM EDT
Tags: artificial intelligence, chatbots, chatgpt, generative ai, Skift Pro Columns, software, startups, travel agents, travel tech, Travel Tech Briefing, trip planning
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ChatGPTPowered Travel Planning Chatbots Spur Entrepreneurs Get Game Javascript required site display correctly. search News Latest News Latest News Skift Megatrends 2023 Travel News Blog News By Sector Hotels Tourism Online Travel Airlines ShortTerm Rentals Artificial Intelligence Business Travel See All Sectors Stay Connected Free Skift Newsletters Skift Podcasts Airline Weekly News Skift Meetings News Daily Lodging Report Skift ProAccess exclusive travel research, data insights, surveys Now Events Upcoming Events Skift ShortTerm Rental Summit Skift Global Forum Skift Aviation Forum Skift Global Forum East View All Events Event Information r Access Sponsorship Opportunities Frequently Asked Questions Event Highlights Research Latest Research Generative AIs Impact Travel Business Travelers: A MultiCountry Survey Report Hotel Tech Benchmark: Booking Engines, Website Builders, Direct Booking Tools 2023 Research By Sector Tourism Technology Hospitality Consumer Habits See All Sectors Featured Tools Travel Company Tracker Travel Health Index Hotel Tech Benchmark Skift ResearchAccess exclusive travel research, data insights, surveys Now Advertise Get Access search person 2 Free stories left read Skift Pro subscribers unlimited access essential travel industry news See My Offer Travel Technology ChatGPTPowered Travel Planning Chatbots Spur Entrepreneurs Get Game Justin Dawes, Skift April 20th, 2023 2:00 AM EDT Skift Take With energy going travel planning assistants, long travel agents jobs? Probably tomorrow, years? Justin Dawes Share Travel Tech Briefing Editors Note:Exclusive reporting technologys impact travel industry, delivered Thursday. The briefing guide executives decide companies build, buy, partner stay ahead. Learn More There startups companies developing products powered generative AI hard track. It getting travel big small companies announce chatbots consumers, share news businesstobusiness products internal use. Some ventures bit gimmicky. Regardless, way ventures survive, miracle consumer travel assistants compete long term ones spearheaded online travel agencies. One, big companies resources, two, huge amounts data. Still, companies carve space right. Many trying. Below highlights companies working technologies travel planning booking integrate ChatGPT. GuideGeek One seemingly promising ventures area early version travel planning assistant called GuideGeek, chatbot powered ChatGPT operates WhatsApp. It released recently Matador Network, independent travel media publisher. Through text conversation format, user ask GuideGeek chatbot planningsuggestions. And early partnership Skyscanner, chatbot deliver specific information flights cost, links book Skyscanner website. GuideGeeks longterm goal travelers use goto tool trip planning booking, according Ross Borden, CEO Matador Network. The aim chatbot able offer detailed, personalized trip suggestions based users history, complete information booking costs more. The company plans integrate data platform help inform users plan trips. The thousands shortform videos company owns garnered combined nearly 10 million followers TikTok growing brands provide video roundup help user planning decision, example. GuideGeek remain free consumers, Borden said. Matador plan monetize businesstobusiness relationships. The company works 200 destination marketing organizations worldwide plans launch tech platforms summer, example, said. This represents unbelievable opportunity [destination marketing organization] 1:1 relationships traveler expresses visiting destination, Borden stated email. The company big plans role program company. Six Matadors 72 team members dedicated GuideGeek, likely 20 end year, said Ross Borden, companys CEO. All teams contributing GuideGeeks success way lot work eventually converge product integrated it, Borden said. Same powered generative AI right developers working kinks. The chatbot told booked hotel confirmation email arriving shortly that, fact, possible moment. Affordable Balaton Accommodations Adventures On smaller scale, Affordable Balaton Accommodations Adventures Balatoni Szllsok Kalandok platform launched weeks ago way travelers plan book trips popular Balaton region Hungary. The platform AI ChatGPT power generative AI chatbot help users plan trip region suggestions things places see. Users access Anna, AI chatbot assistant, contact . Like travel planning chatbots right now, pretty unhelpful early planning stages. But company working strengthening capability gathers data users, said Pter Mrkus, founder platform. Our goal popularize spirit Balaton, making accessible enjoyable leveraging latest technology, Mrkus stated email. He said AI ChatGPT integrated areas website, well, including automate background processes help registered travel suppliers answer technical questions end platform. Roam Around Roam Around travel planning chatbot assistant development. Currently oneman founder Shie Gabbai, plan create platform meant essentially travel agent does, remembering factoring details dietary requirements transportation preferences. The plan, similar others, platform connected travel suppliers, bookings completed app links. He working adding group chat element easier group travel planning. Where I opportunity Roam Around long tail, cities Ive heard like cities big publications wont cover, Gabbai said. I think competitors space features. But I tried laser focus user experience, simple possible, seamless possible, said. Gabbai spent career working businesstobusiness customer service, including Google Disney. He started building chatbot customer support utilizing ChatGPT, decided technology new adequately power wanted create. Thats realized bigger opportunity travel planning booking. He worked contractors write code Roam Around, considering bringing technical cofounder. The travel planning assistant now, functionality limited. It recommendations provide links bookings, difficult stage platforms. He said platform generated 4 million itineraries far. Despite growing number competitors, optimistic future. As burgeoning industry, positivesum phase new entrant adds value whole, Gabbai said. smart_toy Skift AI Travel Newsletter AI coverage travel sectors thats focused separating trendy moves good ideas inbox Friday. Share Justin Dawes, Skift April 20th, 2023 2:00 AM EDT Tags: artificial intelligence, chatbots, chatgpt, generative ai, Skift Pro Columns, software, startups, travel agents, travel tech, Travel Tech Briefing, trip planning Loading story 2 Free stories left read Support highquality journalism covering travel industry Skift Pro book_online Get Online Travel News Updates The latest news online travel delivered weekly inbox. Up Next Loading stories Special Offer: Choose From Quarterly, Annual, TwoYear Skift Pro Subscription Plans 1 3 free stories left read Find Plan That Fits Travel Sectors Tourism Online Travel Hotels ShortTerm Rentals Airlines Business Travel Meetings Tour Operators See All Skift Brands Skift Meetings Airline Weekly Daily Lodging Report Skift Research Skift Live About Skift About Skift Where Find Us Media Resources The Team Careers Facebook Instagram Twitter LinkedIn YouTube Email Help Center 2023 Skift
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] | 1 | 197,968 |
https://spectrum.ieee.org/ai-chip-design-matlab
| 2022-02-10T00:00:00 |
en
|
Q&A: Here’s How AI Will Change Chip Design - IEEE Spectrum
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Q&A: Here’s How AI Will Change Chip Design - IEEE Spectrum
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Topic
Artificial Intelligence
Type
Semiconductors
Interview
Q&A: Here’s How AI Will Change Chip Design
MATLAB product manager discusses AI's promise and potential for the semiconductor industry
Rina Diane Caballar
08 Feb 2022
5 min read
An array of semiconductor wafers are ready to be made into chips.
MirageC/Getty Images
chip fabrication
Moore’s Law
chip design
ai
matlab
digital twins
The end of Moore’s Law is looming. Engineers and designers can do only so much to miniaturize transistors and pack as many of them as possible into chips. So they’re turning to other approaches to chip design, incorporating technologies like AI into the process.Samsung, for instance, is adding AI to its memory chips to enable processing in memory, thereby saving energy and speeding up machine learning. Speaking of speed, Google’s TPU V4 AI chip has doubled its processing power compared with that of its previous version.But AI holds still more promise and potential for the semiconductor industry. To better understand how AI is set to revolutionize chip design, we spoke with Heather Gorr, senior product manager for MathWorks’ MATLAB platform.How is AI currently being used to design the next generation of chips?Heather Gorr: AI is such an important technology because it’s involved in most parts of the cycle, including the design and manufacturing process. There’s a lot of important applications here, even in the general process engineering where we want to optimize things. I think defect detection is a big one at all phases of the process, especially in manufacturing. But even thinking ahead in the design process, [AI now plays a significant role] when you’re designing the light and the sensors and all the different components. There’s a lot of anomaly detection and fault mitigation that you really want to consider.
Heather GorrThen, thinking about the logistical modeling that you see in any industry, there is always planned downtime that you want to mitigate; but you also end up having unplanned downtime. So, looking back at that historical data of when you’ve had those moments where maybe it took a bit longer than expected to manufacture something, you can take a look at all of that data and use AI to try to identify the proximate cause or to see something that might jump out even in the processing and design phases. We think of AI oftentimes as a predictive tool, or as a robot doing something, but a lot of times you get a lot of insight from the data through AI.What are the benefits of using AI for chip design?Gorr: Historically, we’ve seen a lot of physics-based modeling, which is a very intensive process. We want to do a reduced order model, where instead of solving such a computationally expensive and extensive model, we can do something a little cheaper. You could create a surrogate model, so to speak, of that physics-based model, use the data, and then do your parameter sweeps, your optimizations, your Monte Carlo simulations using the surrogate model. That takes a lot less time computationally than solving the physics-based equations directly. So, we’re seeing that benefit in many ways, including the efficiency and economy that are the results of iterating quickly on the experiments and the simulations that will really help in the design.So it’s like having a digital twin in a sense?Gorr: Exactly. That’s pretty much what people are doing, where you have the physical system model and the experimental data. Then, in conjunction, you have this other model that you could tweak and tune and try different parameters and experiments that let sweep through all of those different situations and come up with a better design in the end.So, it’s going to be more efficient and, as you said, cheaper?Gorr: Yeah, definitely. Especially in the experimentation and design phases, where you’re trying different things. That’s obviously going to yield dramatic cost savings if you’re actually manufacturing and producing [the chips]. You want to simulate, test, experiment as much as possible without making something using the actual process engineering.We’ve talked about the benefits. How about the drawbacks?Gorr: The [AI-based experimental models] tend to not be as accurate as physics-based models. Of course, that’s why you do many simulations and parameter sweeps. But that’s also the benefit of having that digital twin, where you can keep that in mind—it's not going to be as accurate as that precise model that we’ve developed over the years.Both chip design and manufacturing are system intensive; you have to consider every little part. And that can be really challenging. It's a case where you might have models to predict something and different parts of it, but you still need to bring it all together.One of the other things to think about too is that you need the data to build the models. You have to incorporate data from all sorts of different sensors and different sorts of teams, and so that heightens the challenge.How can engineers use AI to better prepare and extract insights from hardware or sensor data?Gorr: We always think about using AI to predict something or do some robot task, but you can use AI to come up with patterns and pick out things you might not have noticed before on your own. People will use AI when they have high-frequency data coming from many different sensors, and a lot of times it’s useful to explore the frequency domain and things like data synchronization or resampling. Those can be really challenging if you’re not sure where to start.One of the things I would say is, use the tools that are available. There’s a vast community of people working on these things, and you can find lots of examples [of applications and techniques] on GitHub or MATLAB Central, where people have shared nice examples, even little apps they’ve created. I think many of us are buried in data and just not sure what to do with it, so definitely take advantage of what’s already out there in the community. You can explore and see what makes sense to you, and bring in that balance of domain knowledge and the insight you get from the tools and AI.What should engineers and designers consider when using AI for chip design?Gorr: Think through what problems you’re trying to solve or what insights you might hope to find, and try to be clear about that. Consider all of the different components, and document and test each of those different parts. Consider all of the people involved, and explain and hand off in a way that is sensible for the whole team.How do you think AI will affect chip designers’ jobs?Gorr: It’s going to free up a lot of human capital for more advanced tasks. We can use AI to reduce waste, to optimize the materials, to optimize the design, but then you still have that human involved whenever it comes to decision-making. I think it’s a great example of people and technology working hand in hand. It’s also an industry where all people involved—even on the manufacturing floor—need to have some level of understanding of what’s happening, so this is a great industry for advancing AI because of how we test things and how we think about them before we put them on the chip.How do you envision the future of AI and chip design?Gorr: It's very much dependent on that human element—involving people in the process and having that interpretable model. We can do many things with the mathematical minutiae of modeling, but it comes down to how people are using it, how everybody in the process is understanding and applying it. Communication and involvement of people of all skill levels in the process are going to be really important. We’re going to see less of those superprecise predictions and more transparency of information, sharing, and that digital twin—not only using AI but also using our human knowledge and all of the work that many people have done over the years.From Your Site Articles
System Creates the Illusion of an Ideal AI Chip - IEEE Spectrum ›
Next-Gen AR Glasses Will Require New Chip Designs - IEEE ... ›
Google Invents AI That Learns a Key Part of Chip Design - IEEE ... ›
Related Articles Around the Web
MATLAB - MathWorks - MATLAB & Simulink ›
AI Begins To Reshape Chip Design ›
chip fabrication
Moore’s Law
chip design
ai
matlab
digital twins
Rina Diane Caballar
Rina Diane Caballar is a journalist and former software engineer based in Wellington, New Zealand.
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Consumer Electronics
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News
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Artificial Intelligence
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DarkGrayThree-dimensional displays first appeared on computer screens in the 1960s, and very large machines could manipulate those images in real time, but it was not until 1980 that a video-game player could maneuver at will through an imaginary landscape, wreaking havoc until brought to an untimely end by enemy tanks. Battlezone, a first-person tank game, was made possible by a vector display unit used by Atari Inc., Sunnyvale, Calif., in Asteroids, which came out the previous year.Even with the vector generator, according to Videa’s Ed Rotberg, who wrote computer code for the game, Battlezone required three microprocessors: a 6502 to control the game play, a custom processor for the display, and another, built from 2901 bit-slice processors, for the mathematics. The display generator and the game microprocessor operated either in parallel or in sequence with the others.
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Q&A: Here’s How AI Will Change Chip Design
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QA: Heres How AI Will Change Chip Design IEEE Spectrum IEEE.orgIEEE Xplore Digital LibraryIEEE StandardsMore SitesJoin IEEE QA: Heres How AI Will Change Chip DesignShareFOR THE TECHNOLOGY INSIDERExplore topicAerospaceArtificial IntelligenceBiomedicalComputingConsumer ElectronicsEnergyHistory TechnologyRoboticsSemiconductorsSensorsTelecommunicationsTransportation IEEE SpectrumFOR THE TECHNOLOGY INSIDER TopicsAerospaceArtificial IntelligenceBiomedicalComputingConsumer ElectronicsEnergyHistory TechnologyRoboticsSemiconductorsSensorsTelecommunicationsTransportation SectionsFeaturesNewsOpinionCareersDIYEngineering ResourcesMoreSpecial ReportsExplainersPodcastsVideosNewslettersTop Programming LanguagesRobots GuideFor IEEE MembersCurrent IssueMagazine ArchiveThe Institute For IEEE MembersCurrent IssueMagazine ArchiveThe InstituteIEEE Spectrum UsReprints PermissionsAdvertisingFollow IEEE Spectrum Support IEEE SpectrumIEEE Spectrum flagship publication IEEE worlds largest professional organization devoted engineering applied sciences. Our articles, podcasts, infographics inform readers developments technology, engineering, science.Join IEEE About IEEE SupportAccessibilityNondiscrimination PolicyTermsIEEE 2022 IEEE . A notforprofit organization, IEEE worlds largest technical professional organization dedicated advancing technology benefit humanity. IEEE websites place cookies device best user experience. By websites, agree placement cookies. To learn more, read . view privacy policy accept close CloseStay ahead latest technology trends. Become IEEE member.Enjoy free content benefits creating accountSaving articles read later requires IEEE Spectrum accountThe Institute content available membersDownloading PDF issues exclusive IEEE MembersAccess Spectrums Digital Edition exclusive IEEE MembersFollowing topics feature exclusive IEEE MembersAdding response article requires IEEE Spectrum accountCreate account access content features IEEE Spectrum, including ability save articles read later, download Spectrum Collections, participate conversations readers editors. For exclusive content features, consider Joining IEEE.This article IEEE members only. Join worlds largest professional organization devoted engineering applied sciences access Spectrums articles, podcasts, special reports. Learn Join worlds largest professional organization devoted engineering applied sciences access Spectrums articles, archives, PDF downloads, benefits. Learn CREATE AN ACCOUNTSIGN INJOIN IEEESIGN INCloseEnjoy free content benefits creating accountCreate account access content features IEEE Spectrum, including ability save articles read later, download Spectrum Collections, participate conversations readers editors. For exclusive content features, consider Joining IEEE.CREATE AN ACCOUNTSIGN IN Topic Artificial Intelligence Type Semiconductors Interview QA: Heres How AI Will Change Chip Design MATLAB product manager discusses AIs promise potential semiconductor industry Rina Diane Caballar 08 Feb 2022 5 min read An array semiconductor wafers ready chips. MirageCGetty Images chip fabrication Moores Law chip design ai matlab digital twins The end Moores Law looming. Engineers designers miniaturize transistors pack possible chips. So theyre turning approaches chip design, incorporating technologies like AI process.Samsung, instance, adding AI memory chips enable processing memory, saving energy speeding machine learning. Speaking speed, Googles TPU V4 AI chip doubled processing power compared previous version.But AI holds promise potential semiconductor industry. To better understand AI set revolutionize chip design, spoke Heather Gorr, senior product manager MathWorks MATLAB platform.How AI currently design generation chips?Heather Gorr: AI important technology involved parts cycle, including design manufacturing process. Theres lot important applications here, general process engineering want optimize things. I think defect detection big phases process, especially manufacturing. But thinking ahead design process, [AI plays significant role] youre designing light sensors different components. Theres lot anomaly detection fault mitigation want consider. Heather GorrThen, thinking logistical modeling industry, planned downtime want mitigate; end unplanned downtime. So, looking historical data youve moments maybe took bit longer expected manufacture something, look data use AI try identify proximate cause jump processing design phases. We think AI oftentimes predictive tool, robot something, lot times lot insight data AI.What benefits AI chip design?Gorr: Historically, weve seen lot physicsbased modeling, intensive process. We want reduced order model, instead solving computationally expensive extensive model, little cheaper. You create surrogate model, speak, physicsbased model, use data, parameter sweeps, optimizations, Monte Carlo simulations surrogate model. That takes lot time computationally solving physicsbased equations directly. So, seeing benefit ways, including efficiency economy results iterating quickly experiments simulations help design.So like digital twin sense?Gorr: Exactly. Thats pretty people doing, physical model experimental data. Then, conjunction, model tweak tune try different parameters experiments let sweep different situations come better design end.So, going efficient and, said, cheaper?Gorr: Yeah, definitely. Especially experimentation design phases, youre trying different things. Thats obviously going yield dramatic cost savings youre actually manufacturing producing [the chips]. You want simulate, test, experiment possible making actual process engineering.Weve talked benefits. How drawbacks?Gorr: The [AIbased experimental models] tend accurate physicsbased models. Of course, thats simulations parameter sweeps. But thats benefit digital twin, mindits going accurate precise model weve developed years.Both chip design manufacturing intensive; consider little part. And challenging. Its case models predict different parts it, need bring together.One things think need data build models. You incorporate data sorts different sensors different sorts teams, heightens challenge.How engineers use AI better prepare extract insights hardware sensor data?Gorr: We think AI predict robot task, use AI come patterns pick things noticed own. People use AI highfrequency data coming different sensors, lot times useful explore frequency domain things like data synchronization resampling. Those challenging youre sure start.One things I is, use tools available. Theres vast community people working things, lots examples [of applications techniques] GitHub MATLAB Central, people shared nice examples, little apps theyve created. I think buried data sure it, definitely advantage whats community. You explore makes sense you, bring balance domain knowledge insight tools AI.What engineers designers consider AI chip design?Gorr: Think problems youre trying solve insights hope find, try clear that. Consider different components, document test different parts. Consider people involved, explain hand way sensible team.How think AI affect chip designers jobs?Gorr: Its going free lot human capital advanced tasks. We use AI reduce waste, optimize materials, optimize design, human involved comes decisionmaking. I think great example people technology working hand hand. Its industry people involvedeven manufacturing floorneed level understanding whats happening, great industry advancing AI test things think chip.How envision future AI chip design?Gorr: Its dependent human elementinvolving people process interpretable model. We things mathematical minutiae modeling, comes people it, everybody process understanding applying it. Communication involvement people skill levels process going important. Were going superprecise predictions transparency information, sharing, digital twinnot AI human knowledge work people years.From Your Site Articles System Creates Illusion Ideal AI Chip IEEE Spectrum NextGen AR Glasses Will Require New Chip Designs IEEE ... Google Invents AI That Learns Key Part Chip Design IEEE ... Related Articles Around Web MATLAB MathWorks MATLAB Simulink AI Begins To Reshape Chip Design chip fabrication Moores Law chip design ai matlab digital twins Rina Diane Caballar Rina Diane Caballar journalist software engineer based Wellington, New Zealand. The Conversation 0 Consumer Electronics Topic News Type NFTs Are Grift; NFTs Are FutureGamers, Over You 9h 5 min read Artificial Intelligence Topic Type Interview Andrew Ng: Unbiggen AI 15h 10 min read The Institute Topic Type Careers Profile GeeRemit App Moves Money Saves It Too 08 Feb 2022 4 min read Related Stories Artificial Intelligence Topic Type News Reconfigurable AI Device Shows Brainlike Promise Topic Artificial Intelligence Type News AI Could Analyze Speech Help Diagnose Alzheimers Topic News Type Semiconductors The Chip Shortage, Giant Chips, Future Moores Law Topic Type Feature History Technology The Invention Battlezone And U.S. Army hijacked videogame Paul Wallich 05 Feb 2022 4 min read Vertical ArcadeImagesAlamy DarkGrayThreedimensional displays appeared screens 1960s, large machines manipulate images real time, 1980 videogame player maneuver imaginary landscape, wreaking havoc brought untimely end enemy tanks. Battlezone, firstperson tank game, possible vector display unit Atari ., Sunnyvale, Calif., Asteroids, came previous year.Even vector generator, according Videas Ed Rotberg, wrote code game, Battlezone required microprocessors: 6502 control game play, custom processor display, another, built 2901 bitslice processors, mathematics. The display generator game microprocessor operated parallel sequence others. Keep Reading Show
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https://sputniknews.com/india/202006151079620594-india-becomes-founding-member-of-global-ai-body-to-oversee-responsible-use-of-advanced-tech/
| 2020-06-15T00:00:00 |
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India Becomes Founding Member of Global AI Body to Oversee Responsible Use of Advanced Tech - Sputnik International
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India Becomes Founding Member of Global AI Body to Oversee Responsible Use of Advanced Tech - Sputnik International
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Accept & CloseSputnik Internationalall editionsLog inRegisterLog out14:19 GMT15 June 2020
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CC0India13:25 GMT 15.06.2020(updated 14:09 GMT 15.06.2020) Get short URL
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Subscribehttps://cdn1.img.sputniknews.com/img/107827/90/1078279055_0:104:1920:1184_1200x675_80_0_0_ac63b0c6fa4b1db5738b52348ed4b6a0.jpgSputnik Internationalhttps://cdn2.img.sputniknews.com/i/logo.pngSputnikhttps://cdn2.img.sputniknews.com/i/logo.pnghttps://sputniknews.com/india/202006151079620594-india-becomes-founding-member-of-global-ai-body-to-oversee-responsible-use-of-advanced-tech/New Delhi (Sputnik): Indians are known worldwide for their expertise in advanced technology, and some of the biggest tech companies including Google, Adobe, MasterCard and Microsoft are headed by Indians. India on Monday became a founding member of an Artificial Intelligence (AI)-driven global body called the “Global Partnership on Artificial Intelligence (GPAI)” which aims to promote responsible and human centric-development of AI.
Other countries involved include the US, UK, Australia, Canada, France, Germany, Italy, Japan, Mexico, New Zealand, South Korea and Singapore.
GPAI will bring together leading experts from industry, civil society, governments and academia to collaborate on ways to show how AI can be leveraged to better respond to the present global crisis around COVID-19.
The body will be supported by a Secretariat, to be hosted by the Organization for Economic Cooperation and Development (OECD) in Paris, as well as by two Centers of Expertise in Montreal and Paris.
The news comes after India recently launched its National AI Strategy and National AI Portal that revolve around leveraging AI across education, agriculture, healthcare, e-commerce, finance, telecommunications and other such sectors.
“By joining GPAI as a founding member, India will actively participate in the global development of AI, leveraging upon its experience around the use of digital technologies for inclusive growth,” said the Indian IT Ministry.
India has been taking steps to adapt AI in day to day life. In January, deep-tech start-up CYRAN from the Delhi campus of IIT introduced a do-it-yourself kit to help young Indian techies learn how to build AI-enabled technologies.
The COVID-19 outbreak however, has highlighted the importance of working on public health and technology together in order to fight the crisis. For instance, China has used technologies such as smart imaging, drones and mobile apps to trace virus-carrying individuals.
As of now, India is moving very slowly towards internal tech advancements. The country’s funding for science and technology research is a fraction of the country's overall GDP at 0.7 percent, which is far less than China’s at 2.1 percent and America's at 2.8 percent.
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India Becomes Founding Member Global AI Body Oversee Responsible Use Advanced Tech Sputnik International To improve performance website, relevant news products targeted advertising, collect technical impersonal information you, including tools partners. You detailed description use data . For detailed description technologies, Automatic Logging Policy. By clicking Accept Close button, provide explicit consent processing data achieve goal. You withdraw consent method specified . Accept CloseSputnik Internationalall editionsLog inLog out14:19 GMT15 June 2020 HomeWorldBusinessOpinionTechViralRadioMultimediaUKUSIndiaEuropeRussiaMiddle EastLatin AmericaAsia PacificAfricaBrave New WorldBy Any Means NecessaryDouble DownLoud ClearThe Critical HourFault LinesShooting LipThe Mother All Talk ShowsPolitical MisfitsCartoonsInfographicsVideoPhotoListen LiveCOVID19 global dataConfirmed cases: Recoveries: Deaths: JHU CSSEIndia Becomes Founding Member Global AI Body Oversee Responsible Use Advanced Tech CC0India13:25 GMT 15.06.2020updated 14:09 GMT 15.06.2020 Get short URL 0 0 0 International Delhi Sputnik: Indians known worldwide expertise advanced technology, biggest tech companies including Google, Adobe, MasterCard Microsoft headed Indians. India Monday founding member Artificial Intelligence AIdriven global body called Global Partnership Artificial Intelligence GPAI aims promote responsible human centricdevelopment AI. Other countries involved include US, UK, Australia, Canada, France, Germany, Italy, Japan, Mexico, New Zealand, South Korea Singapore. GPAI bring leading experts industry, civil society, governments academia collaborate ways AI leveraged better respond present global crisis COVID19. The bodywill supported Secretariat, hosted Organization Economic Cooperation Development OECD Paris, Centers Expertise Montreal Paris. The news comes afterIndia recently launched National AI Strategy National AI Portal revolve leveraging AI education, agriculture, healthcare, ecommerce, finance, telecommunications sectors. By joining GPAI founding member, India actively participate global development AI, leveraging experience use digital technologies inclusive growth, said Indian IT Ministry. India taking steps adapt AI day day life. In January, deeptech startup CYRAN Delhi campus IIT introduced doityourself kit help young Indian techies learn build AIenabled technologies. The COVID19 outbreak however, highlighted importance working public health technology order fight crisis. For instance,China technologies smart imaging, drones mobile apps totrace viruscarrying individuals. As now, India moving slowly internal tech advancements. The countrys funding science technology research fraction countrys overall GDP 0.7 percent, far Chinas 2.1 percent Americas 2.8 percent. ...RedditGoogleBloggerPinterestStumbleUpon Telegram WhatsApp 0 0 Tags:coronavirus, corona, COVID19, Artificial Intelligence AI, Artificial Intelligence, artificial intelligence, tech, Tech, Indians, IndiaTrackDo trackCommunity standardsDiscussionComment SputnikComment Facebook By clicking Post button, provide explicit consent processing Facebook account data enable comment news website account. You detailed description use data . You withdraw consent deleting posted comments. ommentAdd Comment Thank Your comment reviewed moderator compliance Rules Add Post limit reached. Please try minute. 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https://steamdb.info/patchnotes/8488687/
| 2022-04-03T00:00:00 |
en
|
v1.2: Followers and quests · AI Roguelite update for 3 April 2022 · SteamDB
|
v1.2: Followers and quests · AI Roguelite update for 3 April 2022 · SteamDB
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AI Roguelite update for 3 April 2022
v1.2: Followers and quests
Share ·
View all patches · Build 8488687 · Last edited 3 April 2022 – 06:09:10 UTC
by Wendy
Patchnotes via Steam Community
A new orchestral main theme for the main menu
Added “auto-generate” option when starting a new game. You can let the AI auto-generate your starting character/world background info.
Added AI detection for the following: Quest detection, gaining a follower.
Follower system: If the AI decides you gain a follower, this character now follows you to every area and is included in the prompt, hence has a chance to intervene during NPC interactions or combat with the enemy.
Quest system: A simplistic quest system at the moment, but the AI checks whether the quest can be reasonably completed in the area. Then, it checks whether the quest was successful given the story events. If you have trouble triggering a quest, just keep pestering NPC's for "quest", "mission", "what can I help you with" etc.
A cute doggo pic for npc placeholder texture (our little doggo).
Reduced loading time
Known issues with fixes coming soon: Accuracy of event detection needs work. Grid becomes cluttered in the UI when more than 3 elements exist.
Changed files in this update
AI Roguelike Content
Depot 1889621
Loading history…
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v1.2: Followers and quests · AI Roguelite update for 3 April 2022 · SteamDB
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v1.2: Followers quests AI Roguelite update 3 April 2022 SteamDB Skip content Menu SteamDB Sales Charts Calculator Patch notes Upcoming Sign Start typing game suggestions. This suggests apps store . Use slash key focus search anywhere. Use arrow keys navigate suggestions. Enter appid redirected app . Enter steamid 765... redirected calculator. Paste profile link id profiles redirected calculator. Paste url contains app, sub, bundle, depot redirected relevant . Click outside search field close popup. Only apps store suggested. Enter Submit view results. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year Profile badges Rankings Top rated games Top game owners Top profile levels Top selling games Top selling games week Most followed games Most wishlisted games Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam.All times site UTC. M toggle menu focus search AI Roguelite update 3 April 2022 v1.2: Followers quests Share View patches Build 8488687 Last edited 3 April 2022 06:09:10 UTC Wendy Patchnotes Steam Community A new orchestral main theme main menu Added autogenerate option starting new game. You let AI autogenerate starting characterworld background info. Added AI detection following: Quest detection, gaining follower. Follower system: If AI decides gain follower, character follows area included prompt, chance intervene NPC interactions combat enemy. Quest system: A simplistic quest moment, AI checks quest reasonably completed area. Then, checks quest successful given story events. If trouble triggering quest, pestering NPCs quest, mission, I help etc. A cute doggo pic npc placeholder texture little doggo. Reduced loading time Known issues fixes coming soon: Accuracy event detection needs work. Grid cluttered UI 3 elements exist. Changed files update AI Roguelike Content Depot 1889621 Loading history SteamDB running adfree 2012.Find contribute. About Blog Discord FAQ help Donate contribute Browser extension Tools Sales Charts Calculator Patch notes Instant search When sale? Tracking Apps Packages Bundles History Price changes Free promotions Database User tags Technologies built Upcoming releases Most followed upcoming Release calendar Game releases year Profile badges Rankings Top rated games Top game owners Top profile levels Top selling games Top selling games week Most followed games Most wishlisted games Account Sign Steam Free packages Steam Status Steam Web API SteamDB hobby project affiliated Valve Steam. All times site UTC. Fair use disclaimer Privacy Steam Steam logo trademarks Valve Corporation. All trademarks property respective owners. For SteamDB function correctly, JavaScript enabled.
| 2,022 |
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https://stockmarketvista.com/2020/10/15/edge-ai-software-market-booming-demand-leading-to-exponential-cagr-growth-by-2026-industry-growth-insights/
| 2020-10-15T00:00:00 |
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Edge AI Software Market Booming Demand Leading To Exponential CAGR Growth By 2026 | Industry Growth Insights - Stock Market Vista
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Edge AI Software Market Booming Demand Leading To Exponential CAGR Growth By 2026 | Industry Growth Insights - Stock Market Vista
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You are HereHome2020October15Edge AI Software Market Booming Demand Leading To Exponential CAGR Growth By 2026 | Industry Growth Insights
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Edge AI Software Market Booming Demand Leading To Exponential CAGR Growth By 2026 | Industry Growth Insights
October 15, 20205 min read Alex
“
IndustryGrowthInsights (IGI), one of the world’s prominent market research firms has announced a novel report on Global Edge AI Software Market. The report contains vital insights on the market which will support the clients to make the right business decisions. This research will help both existing and new aspirants for Edge AI Software market to figure out and study the market needs, market size, and competition. The report incorporates data regarding the supply and demand situation, the competitive scenario, and the challenges for market growth, market opportunities, and the threats faced by key players during the forecast period of 2020-2026.
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Impact of COVID-19 on Edge AI Software Market
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The extensive spectrum of analysis regarding the impact of these advancements on the future of market growth.
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The insights in the report are easy to understand and include a graphical representation of the numbers in the form of histograms, bar graphs, pie charts, etc.
Components such as market drivers, restraints, challenges, and opportunities for Edge AI Software market are explained in detail.
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Making an informed business decision is a tough job; this report offers several strategic business methodologies to support you in making those decisions.
Industry experts and research analysts have worked extensively to prepare the research report which will help you to give that extra edge in the competitive market. The market research report can be customized according to you to your needs. This means that IndustryGrowthInsights (IGI) can cover a particular product, application, or can provide a detailed analysis in the report. You can also purchase a separate report for a specific region.
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Some of the major companies that are covered in this report:
IBMMicrosoftIntelGoogleTIBCOClouderaNutanixFoghorn SystemsSWIM.AIAnagogTact.aiBragiXNOR.AIOctonionVeea IncImagimob
*Note: Additional companies can be included on request
The market scenario is likely to be fairly competitive. To analyze any market with simplicity the market is fragmented into the following segments:
By Application:
Autonomous VehiclesAccess ManagementVideo SurveillanceRemote Monitoring & Predictive MaintenanceTelemetryOthers
By Type:
Software ToolsPlatforms
By Geographical Regions
Asia Pacific: China, Japan, India, and Rest of Asia Pacific Europe: Germany, the UK, France, and Rest of Europe North America: The US, Mexico, and Canada Latin America: Brazil and Rest of Latin America Middle East & Africa: GCC Countries and Rest of Middle East & Africa
Segmenting the market into smaller components helps in analyzing the dynamics of the market with more clarity. Another key component that is included in the report is the regional analysis to assess the global presence of the Edge AI Software market. You can also opt for a yearly subscription of all the updates on the Edge AI Software market.
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Below is the TOC of the report:
Executive Summary
Assumptions and Acronyms Used
Research Methodology
Edge AI Software Market Overview
Edge AI Software Supply Chain Analysis
Edge AI Software Pricing Analysis
Global Edge AI Software Market Analysis and Forecast by Type
Global Edge AI Software Market Analysis and Forecast by Application
Global Edge AI Software Market Analysis and Forecast by Sales Channel
Global Edge AI Software Market Analysis and Forecast by Region
North America Edge AI Software Market Analysis and Forecast
Latin America Edge AI Software Market Analysis and Forecast
Europe Edge AI Software Market Analysis and Forecast
Asia Pacific Edge AI Software Market Analysis and Forecast
Middle East & Africa Edge AI Software Market Analysis and Forecast
Competition Landscape
If you have any questions on this report, feel free to reach us! @ https://industrygrowthinsights.com/enquiry-before-buying/?reportId=171942
About IndustryGrowthInsights (IGI):
IndustryGrowthInsights (IGI) has a vast experience in making customized market research reports in various industry verticals. Our motto is to provide complete client satisfaction. We cover in-depth market analysis, which consists of stipulating lucrative business strategies, especially for the new entrants and the emerging players of the market. We make sure that each report goes through intensive primary, secondary research, interviews, and consumer surveys before final dispatch.
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Contact Info: Name: Alex MathewsAddress: 500 East E Street, Ontario,CA 91764, United States.Phone No: USA: +1 909 545 6473Email: [email protected]: https://industrygrowthinsights.com
”
Edge AI Software Market, Edge AI Software Market analysis, Edge AI Software Market forecast, Edge AI Software Market players, Edge AI Software Market scope, Edge AI Software Market share, Edge AI Software Market size, Edge AI Software Market trends
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Edge AI Software Market Booming Demand Leading To Exponential CAGR Growth By 2026
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Edge AI Software Market Booming Demand Leading To Exponential CAGR Growth By 2026 Industry Growth Insights Stock Market Vista Skip content Friday, October 16, 2020 Stock Market Vista for: You HereHome2020October15Edge AI Software Market Booming Demand Leading To Exponential CAGR Growth By 2026 Industry Growth Insights News Edge AI Software Market Booming Demand Leading To Exponential CAGR Growth By 2026 Industry Growth Insights October 15, 20205 min read Alex IndustryGrowthInsights IGI, worlds prominent market research firms announced novel report Global Edge AI Software Market. The report contains vital insights market support clients right business decisions. This research help existing new aspirants Edge AI Software market figure study market needs, market size, competition. The report incorporates data supply demand situation, competitive scenario, challenges market growth, market opportunities, threats faced key players forecast period 20202026. Request Free Sample Report @ Impact COVID19 Edge AI Software Market The report includes impact ongoing global crisis i.e. COVID19 Edge AI Software market future holds it. It provides analysis effects pandemic global economy. The outbreak directly disturbed demand supply chain. The report analyzes financial impact firms financial markets. IndustryGrowthInsights IGI gathered insights delegates industry got involved primary secondary research provide clients data strategies combat market challenges COVID19 pandemic. Benefits buying report: The published report compiled vigorous thorough research methodology. IndustryGrowthInsights IGI known data accuracy granular market reports. A complete picture competitive scenario Edge AI Software market depicted report. The report consists vast data recent product technological developments markets. The extensive spectrum analysis impact advancements future market growth. IndustryGrowthInsights IGI keeping track market 2015 blended necessary historical data analysis research report. Therefore, additional data requirement easily fulfilled. The insights report easy understand include graphical representation numbers form histograms, bar graphs, pie charts, etc. Components market drivers, restraints, challenges, opportunities Edge AI Software market explained detail. It provides complete assessment expected behavior future market changing market scenario. Making informed business decision tough job; report offers strategic business methodologies support making decisions. Industry experts research analysts worked extensively prepare research report help extra edge competitive market. The market research report customized according needs. This means IndustryGrowthInsights IGI cover particular product, application, provide detailed analysis report. You purchase separate report specific region. You buy complete report @ Some major companies covered report: IBMMicrosoftIntelGoogleTIBCOClouderaNutanixFoghorn SystemsSWIM.AIAnagogTact.aiBragiXNOR.AIOctonionVeea Imagimob Note: Additional companies included request The market scenario likely fairly competitive. To analyze market simplicity market fragmented following segments: By Application: Autonomous VehiclesAccess ManagementVideo SurveillanceRemote Monitoring Predictive MaintenanceTelemetryOthers By Type: Software ToolsPlatforms By Geographical Regions Asia Pacific: China, Japan, India, Rest Asia Pacific Europe: Germany, UK, France, Rest Europe North America: The US, Mexico, Canada Latin America: Brazil Rest Latin America Middle East Africa: GCC Countries Rest Middle East Africa Segmenting market smaller components helps analyzing dynamics market clarity. Another key component included report regional analysis assess global presence Edge AI Software market. You opt yearly subscription updates Edge AI Software market. Request sample buying report @ Below TOC report: Executive Summary Assumptions Acronyms Used Research Methodology Edge AI Software Market Overview Edge AI Software Supply Chain Analysis Edge AI Software Pricing Analysis Global Edge AI Software Market Analysis Forecast Type Global Edge AI Software Market Analysis Forecast Application Global Edge AI Software Market Analysis Forecast Sales Channel Global Edge AI Software Market Analysis Forecast Region North America Edge AI Software Market Analysis Forecast Latin America Edge AI Software Market Analysis Forecast Europe Edge AI Software Market Analysis Forecast Asia Pacific Edge AI Software Market Analysis Forecast Middle East Africa Edge AI Software Market Analysis Forecast Competition Landscape If questions report, feel free reach @ About IndustryGrowthInsights IGI: IndustryGrowthInsights IGI vast experience making customized market research reports industry verticals. Our motto provide complete client satisfaction. We cover indepth market analysis, consists stipulating lucrative business strategies, especially new entrants emerging players market. We sure report goes intensive primary, secondary research, interviews, consumer surveys final dispatch. We invest analysts ensure roster experience expertise field cover. Our team members selected stellar academic records, specializations technical fields, exceptional analytical communication skills. We provide ongoing training knowledge sharing analysts tapped industry best practices loaded information. Info: Name: Alex MathewsAddress: 500 East E Street, Ontario,CA 91764, United States.Phone No: USA: 1 909 545 6473Email: sales Edge AI Software Market, Edge AI Software Market analysis, Edge AI Software Market forecast, Edge AI Software Market players, Edge AI Software Market scope, Edge AI Software Market share, Edge AI Software Market size, Edge AI Software Market trends Share Facebook Twitter Pinterest Linkedin Post navigation Digital Learning Market Emerging Trends, Business Opportunities, Segmentation, Production Values, SupplyDemand, Brand Shares And Forecast 20202027 K12 , Pearson, White Hat Managemen, Georg von Holtzbrinck GmbH Co. K, Bettermarks, Scoyo, Languagenut, Beness Holding, , New Oriental Education Technology, XUEDA, AMBO, XRS, CDEL, Ifdoo, YINGDING, YY Global Interior Design Market 2020 By Segment Forecasts 2026 Gensler, Gold Mantis, HOK, HBA, PerkinsWill, Jacobs, Stantec, IA Interior Architects, Callison, Nelson, Leo A Daly, SOM, HKS, DB B, Cannon Design, NBBJ, Perkins Eastman, CCD, AECOM Technology, Wilson Associates, M Moser Associates, SmithGroupJJR, Areen Design Services, Interior Desig etc. Related Posts Water Quality Monitoring Market 20202026 Where Should Participant Focus To Gain Maximum ROI Exclusive Report By DataIntelo October 16, 2020 Water Quality Sensor Market 2020 Strategic Assessment Top Players like Eutech, Oakton, Thermo Fisher Scientific, YSI, Atlas Scientific, Hach Instruments, Hannah Instruments, Horiba, More? October 16, 2020 Water Quality Sensor Market, Share, Growth, Trends And Forecast To 2027: Dataintelo October 16, 2020 Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. for: Recent Posts Water Quality Monitoring Market 20202026 Where Should Participant Focus To Gain Maximum ROI Exclusive Report By DataIntelo Water Quality Sensor Market 2020 Strategic Assessment Top Players like Eutech, Oakton, Thermo Fisher Scientific, YSI, Atlas Scientific, Hach Instruments, Hannah Instruments, Horiba, More? Water Quality Sensor Market, Share, Growth, Trends And Forecast To 2027: Dataintelo 20202026 Water Softener Market Size By Regional Industry Growth, Statistics Forecast Water Softening Systems Market To 2026: Growth Analysis By Manufacturers, Regions, Types And Applications Recent Comments Archives October 2020 September 2020 Categories Business Healthcare News Technology Meta Log Entries feed Comments feed Email: pr 2020. Proudly powered WordPress Theme: Recent News Candid Themes.
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] | 1 | 197,972 |
https://techcrunch.com/2020/10/01/theres-a-way-to-pick-the-absolute-best-images-for-your-content-apply-ai/
| 2020-10-01T00:00:00 |
en
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There’s a way to pick the absolute best images for your content: Apply AI – TechCrunch
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There’s a way to pick the absolute best images for your content: Apply AI – TechCrunch
There’s a way to pick the absolute best images for your content: Apply AI
Kristin Tynski
9 hours
Kristin Tynski
Contributor
Share on Twitter
Kristin Tynski is co-founder and SVP creative at Fractl, a growth marketing agency that’s helped Fortune 500 companies and boutique businesses earn quality media coverage, backlinks, awareness and authority.
Most marketers believe there’s a lot of value in having relevant, engaging images featured in content.
But selecting the “right” images for blog posts, social media posts or video thumbnails has historically been a subjective process. Social media and SEO gurus have a slew of advice on picking the right images, but this advice typically lacks real empirical data.
This got me thinking: Is there a data-driven — or even better, an AI-driven — process for gaining deeper insight into which images are more likely to perform well (aka more likely to garner human attention and sharing behavior)?
The technique for finding optimal photos
In July of 2019, a fascinating new machine learning paper called “Intrinsic Image Popularity Assessment” was published. This new model has found a reliable way to predict an image’s likely “popularity” (estimation of likelihood the image will get a like on Instagram).
It also showed an ability to outperform humans, with a 76.65% accuracy on predicting how many likes an Instagram photo would garner versus a human accuracy of 72.40%.
Image Credits: Ding/Ma/Wang (opens in a new window)
I used the model and source code from this paper to come up with how marketers can improve their chances of selecting images that will have the best impact on their content.
Finding the best screen caps to use for a video
One of the most important aspects of video optimization is the choice of the video’s thumbnail.
According to Google, 90% of the top performing videos on the platform use a custom selected image. Click-through rates, and ultimately view counts, can be greatly influenced by how eye-catching a video title and thumbnail are to a searcher,
In recent years, Google has applied AI to automate video thumbnail extraction, attempting to help users find thumbnails from their videos that are more likely to attract attention and click-throughs.
Unfortunately, with only three provided options to choose from, it’s unlikely the thumbnails Google currently recommends are the best thumbnails for any given video.
That’s where AI comes in.
With some simple code, it’s possible to run the “intrinsic popularity score” (as derived by a model similar to the one discussed in this article) against all of the individual frames of a video, providing a much wider range of options.
The code to do this is available here. This script downloads a YouTube video, splits it into frames as .jpg images, and runs the model on each image, providing a predicted popularity score for each frame image.
Caveat: It is important to remember that this model was trained and tested on Instagram images. Given the similarity in behavior for clicking on an Instagram photo or a YouTube thumbnail, we feel it’s likely (though never tested) that if a thumbnail is predicted to do well as an Instagram photo, it will similarly do well as a YouTube video thumbnail.
Let’s look at an example of how this works.
Current thumbnail. Image Credits: YouTube (opens in a new window)
We had the intrinsic popularity model look at three frames per second of this 23-minute video. It took about 20 minutes. The following were my favorites from the 20 images that had the highest overall scores.
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There’s a way to pick the absolute best images for your content: Apply AI
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Theres way pick absolute best images content: Apply AI TechCrunch Theres way pick absolute best images content: Apply AI Kristin Tynski 9 hours Kristin Tynski Contributor Share Twitter Kristin Tynski cofounder SVP creative Fractl, growth marketing agency thats helped Fortune 500 companies boutique businesses earn quality media coverage, backlinks, awareness authority. Most marketers believe theres lot value relevant, engaging images featured content. But selecting right images blog posts, social media posts video thumbnails historically subjective process. Social media SEO gurus slew advice picking right images, advice typically lacks real empirical data. This got thinking: Is datadriven better, AIdriven process gaining deeper insight images likely perform aka likely garner human attention sharing behavior? The technique finding optimal photos In July 2019, fascinating new machine learning paper called Intrinsic Image Popularity Assessment published. This new model reliable way predict images likely popularity estimation likelihood image like Instagram. It showed ability outperform humans, 76.65 accuracy predicting likes Instagram photo garner versus human accuracy 72.40. Image Credits: DingMaWang opens new window I model source code paper come marketers improve chances selecting images best impact content. Finding best screen caps use video One important aspects video optimization choice videos thumbnail. According Google, 90 performing videos platform use custom selected image. Clickthrough rates, ultimately view counts, greatly influenced eyecatching video title thumbnail searcher, In recent years, Google applied AI automate video thumbnail extraction, attempting help users thumbnails videos likely attract attention clickthroughs. Unfortunately, provided options choose from, unlikely thumbnails Google currently recommends best thumbnails given video. Thats AI comes in. With simple code, possible run intrinsic popularity score derived model similar discussed article individual frames video, providing wider range options. The code available here. This script downloads YouTube video, splits frames .jpg images, runs model image, providing predicted popularity score frame image. Caveat: It important remember model trained tested Instagram images. Given similarity behavior clicking Instagram photo YouTube thumbnail, feel likely tested thumbnail predicted Instagram photo, similarly YouTube video thumbnail. Lets look example works. Current thumbnail. Image Credits: YouTube opens new window We intrinsic popularity model look frames second 23minute video. It took 20 minutes. The following favorites 20 images highest overall scores.
| 2,020 |
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https://techcrunch.com/2023/06/22/aws-launches-100m-program-to-fund-generative-ai-initiatives/
| 2023-06-22T00:00:00 |
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AWS launches $100M program to fund generative AI initiatives | TechCrunch
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AWS launches $100M program to fund generative AI initiatives
Kyle Wiggers
7 hours
Amazon, keen to avoid being left behind in the hyper-competitive AI race, is launching a new program to invest in startups and organizations focused on generative AI.
Called the AWS Generative AI Innovation Center, the program will put $100 million toward connecting AWS-affiliated data scientists, strategists, engineers and solutions architects with customers and partners to — as Amazon puts it in a press release — “accelerate enterprise innovation and success with generative AI.”
“Through free workshops, engagements and training, AWS will help customers imagine and scope the use cases that will create the greatest value for their businesses, based on best practices and industry expertise,” Amazon writes in a press release.
What’s that mean, exactly? I asked Sri Elaprolu, the head of the Generative AI Innovation Center and a senior data science manager at AWS, to explain in a little more detail.
Via email, Elaprolu clarified that the $100 million investment will specifically fund “people, technology and processes” around generative AI. That’s still a bit vague. But the idea, he said, will be to support work with AWS customers that helps them ideate, design and launch new generative AI products and services.
“We’ve been hearing from our enterprise customers that they’re very interested in generative AI — and they’re looking to AWS for help and guidance,” Elaprolu added. “The Innovation Center will help them build their plan for generative AI, identify and prioritize generative AI use cases that are aligned to business value, and develop proof-of-concept solutions and a path to bring solutions to a production-ready state, along with steps to scale.”
Participants in the Generative AI Innovation Center program will benefit from free workshops, engagements and training, plus access to AWS products such as the code-generating service CodeWhisperer and Bedrock platform for text-generating models.
As for who can participate, Elaprolu says that the Generative AI Innovation Center will initially prioritize working with customers who’ve previously reached out to AWS with “plans, goals or requests for assistance” with generative AI. Beyond that, the program will give precedence to organizations in the financial services, healthcare and life sciences, media and entertainment, automotive and manufacturing, energy and utilities and telecommunications sectors.
“Strategy and science experts from the AWS Generative AI Innovation Center will work with customers on brainstorming and problem formulation, help them identify best use cases for generative AI, work through challenges involved and define a clear path to success,” Elaprolu said. “It’ll also provide a wide range of expert services from advisory functions, such as exploring the best foundation model candidates to meet business objectives, and hands-on engagements, such as fine-tuning foundation models to meet specific needs.”
The launch of the Generative AI Innovation Center comes months after AWS kicked off a 10-week program for generative AI startups and debuted Bedrock, a platform to build generative AI-powered apps via pretrained third- and first-party models. AWS also recently announced that it would work with Nvidia to build “next-generation” infrastructure for training AI models — complementing its in-house Trainium hardware.
With these moves, AWS is trying — hard — to make the case that its platform is the one to beat where it concerns building and hosting generative AI apps. Can it? That remains to be seen, particularly in light of Bedrock’s… well, rocky start. Bloomberg reported in May that six weeks after Amazon demoed the tech with an unusually vague presser and just one testimonial, most cloud customers still didn’t have access.
To Amazon’s credit, though, AWS has managed to nab a number of high-profile customers in the generative AI space, including Stability AI (which selected AWS as its preferred cloud provider) and AI21 Labs. That counters — but perhaps doesn’t quite best, depending on who you ask — Google Cloud’s partnerships with Cohere and Anthropic and Microsoft’s tie-up with OpenAI.
Fortunately for Amazon, the market’s large — and growing. Grand View Research estimates that generative AI products and solutions could be worth close to $110 billion by 2030.
“Generative AI will be one of the most transformational technologies of our generation, tackling some of humanity’s most challenging problems, augmenting human performance and maximizing productivity,” Elaprolu said. “Our customers have always been at the forefront of innovation, and there are nearly endless possibilities and use cases for generative AI. It’s only just beginning.”
Amazon is only the latest to pledge substantial resources toward generative AI initiatives, it’s worth noting.
Salesforce Ventures, Salesforce’s VC division, plans to pour $500 million into startups developing generative AI technologies. Workday recently added $250 million to its existing VC fund specifically to back AI and machine learning startups. OpenAI, the company behind the viral chatbot ChatGPT, has raised a $175 million fund to invest in AI startups. And just this week, Dropbox launched a $50 AI-focused venture fund.
Accenture and PwC, meanwhile, have announced that they plan to invest $3 billion and $1 billion, respectively, in AI.
Funds have steadily increased their positions in AI over the past few years, spurred recently by the growth in generative AI. According to GlobalData, AI startups received over $52 billion in funding across more than 3,300 deals in the last year alone.
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AWS launches $100M program to fund generative AI initiatives
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AWS launches 100M program fund generative AI initiatives TechCrunch TechCrunch plusbold TechCrunch Open Navigation TechCrunch AWS launches 100M program fund generative AI initiatives Kyle Wiggers 7 hours Amazon, keen avoid left hypercompetitive AI race, launching new program invest startups organizations focused generative AI. Called AWS Generative AI Innovation Center, program 100 million connecting AWSaffiliated data scientists, strategists, engineers solutions architects customers partners Amazon puts press release accelerate enterprise innovation success generative AI. Through free workshops, engagements training, AWS help customers imagine scope use cases create greatest value businesses, based best practices industry expertise, Amazon writes press release. Whats mean, exactly? I asked Sri Elaprolu, head Generative AI Innovation Center senior data science manager AWS, explain little detail. Via email, Elaprolu clarified 100 million investment specifically fund people, technology processes generative AI. Thats bit vague. But idea, said, support work AWS customers helps ideate, design launch new generative AI products services. Weve hearing enterprise customers theyre interested generative AI theyre looking AWS help guidance, Elaprolu added. The Innovation Center help build plan generative AI, identify prioritize generative AI use cases aligned business value, develop proofofconcept solutions path bring solutions productionready state, steps scale. Participants Generative AI Innovation Center program benefit free workshops, engagements training, plus access AWS products codegenerating service CodeWhisperer Bedrock platform textgenerating models. As participate, Elaprolu says Generative AI Innovation Center initially prioritize working customers whove previously reached AWS plans, goals requests assistance generative AI. Beyond that, program precedence organizations financial services, healthcare life sciences, media entertainment, automotive manufacturing, energy utilities telecommunications sectors. Strategy science experts AWS Generative AI Innovation Center work customers brainstorming problem formulation, help identify best use cases generative AI, work challenges involved define clear path success, Elaprolu said. Itll provide wide range expert services advisory functions, exploring best foundation model candidates meet business objectives, handson engagements, finetuning foundation models meet specific needs. The launch Generative AI Innovation Center comes months AWS kicked 10week program generative AI startups debuted Bedrock, platform build generative AIpowered apps pretrained firstparty models. AWS recently announced work Nvidia build nextgeneration infrastructure training AI models complementing inhouse Trainium hardware. With moves, AWS trying hard case platform beat concerns building hosting generative AI apps. Can it? That remains seen, particularly light Bedrocks well, rocky start. Bloomberg reported May weeks Amazon demoed tech unusually vague presser testimonial, cloud customers didnt access. To Amazons credit, though, AWS managed nab number highprofile customers generative AI space, including Stability AI selected AWS preferred cloud provider AI21 Labs. That counters doesnt best, depending ask Google Clouds partnerships Cohere Anthropic Microsofts tieup OpenAI. Fortunately Amazon, markets large growing. Grand View Research estimates generative AI products solutions worth close 110 billion 2030. Generative AI transformational technologies generation, tackling humanitys challenging problems, augmenting human performance maximizing productivity, Elaprolu said. Our customers forefront innovation, nearly endless possibilities use cases generative AI. Its beginning. Amazon latest pledge substantial resources generative AI initiatives, worth noting. Salesforce Ventures, Salesforces VC division, plansto pour 500 million startups developing generative AI technologies. Workdayrecently added 250 million existing VC fund specifically AI machine learning startups.OpenAI, company viral chatbotChatGPT, raised 175 million fund invest AI startups. And week, Dropbox launched 50 AIfocused venture fund. Accenture PwC, meanwhile, announced plan invest 3 billion 1 billion, respectively, AI. Funds steadily increased positions AI past years, spurred recently growth generative AI. Accordingto GlobalData, AI startups received 52 billion funding 3,300 deals year alone.
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https://techcrunch.com/2023/07/28/announcing-the-ai-stage-agenda-at-techcrunch-disrupt-2023/
| 2023-07-28T00:00:00 |
en
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Announcing the AI Stage agenda at TechCrunch Disrupt 2023 | TechCrunch
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Announcing the AI Stage agenda at TechCrunch Disrupt 2023 | TechCrunch
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Announcing the AI Stage agenda at TechCrunch Disrupt 2023
Richard Smith
8 hours
After a few years of being background noise, AI has suddenly become ubiquitous. From consumer apps to enterprise tools to medical devices, nearly everything claims to be “powered by AI” these days. But the technology’s unprecedented (and unregulated) rise prompts as many questions as it provides answers.
Fortunately, you’re coming to Disrupt, where we have a day and a stage dedicated to this fast-moving industry. We’ll hear from heads of major companies pivoting to AI, smaller startups aiming to change the status quo, skeptics questioning its ethics, and investors looking to back winners . . . before anyone knows what winning looks like.
It’s a complex and evolving space, and while no one knows what comes next, we intend to ask them anyway! This slice of experts and builders will give you plenty to ask ChatGPT about later. This is an early look at the agenda, so make sure to check back for more updates!
We hope you’ll join us at TechCrunch Disrupt on September 19–21 in San Francisco.
The AI Stage Agenda at TechCrunch Disrupt 2023
A Deep Dive on DeepMind, Google’s Premiere AI Lab
with Demis Hassabis (DeepMind)
DeepMind, the AI lab Google acquired in 2014, has grown to wield enormous influence over its parent company’s AI research. Led by Demis Hassabis, DeepMind — which, among other accomplishments, built an AI that can best world champions at Go — most recently was charged with spearheading Google’s generative AI efforts. In this fireside chat, Hassabis will discuss DeepMind’s current projects and others under his purview at Google — including healthcare.
Stronger, Faster…Safer? Anthropic co-founder Dario Amodei on Letting AI Find Its Best Self
with Dario Amodei (Anthropic)
Is it possible for AI to be built ethically, to operate safely, yet remain useful and perhaps even profitable? Anthropic aims to thread this needle by moving slow and avoiding breakage — and it has raised hundreds of millions to do so. Co-founder and CEO Dario Amodei speaks about taking on the most complex software ever attempted with one hand tied behind his back.
Between Hype and a Hard Place: Gary Marcus on AI’s Next Steps
with Gary Marcus (Author and entrepreneur)
Balancing skepticism with a healthy respect for the havoc AI could create, Gary Marcus has been a rational voice in a hype-filled world. But with the technology entering the mainstream, we need to do more than warn — we need action, regulation, and cooperation. How do we get it? Marcus has some ideas.
Big Fish, Little Pond: Can Investors Make 10-Figure AI Valuations Pay Off in Markets No One Is Sure Exist?
with Miles Grimshaw (Benchmark), Sonya Huang (Sequoia), and Saam Motembi (Greylock)
Everyone seems to have agreed that AI will revolutionize tech, but so far the kind of revenue and deals that would justify billion-dollar valuations are scarce. How do venture capitalists and institutional investors envision the next few years playing out — and paying out?
AI Can Write Words — But Can It Understand Them?
with May Habib (Writer) and speaker to be announced
Text-generating AI is the hot new thing in tech. But while it’s proven to be a major productivity boost for some, it’s far from perfect. Generative text AI has biases and, depending on the model, a tendency to generate toxic content — or even confidently make up facts. Our panelists will discuss these limitations and more as investments in generative AI pick up steam.
Bias, Toxicity and Hallucination: Can AI Be Ethical?
with Kathy Baxter (Salesforce) and speakers to be announced
There’s palpable excitement around AI, especially generative AI, but the technology has problems. At the worst, it’s prejudicial and untruthful — potentially causing harm to the people who use it. Policymakers around the world are grappling with the implications of AI, as will this panel, which will explore the root causes of AI’s issues and how they can be responsibly mitigated — if that’s even possible.
How AI Can Both Accelerate and Slow Down the Disinformation Economy
with Gordon Crovitz (NewsGuard) and speakers to be announced
The threat of AI-generated disinformation, or just plain spam, is on everyone’s minds. We know language models can dish it out, but can they also hold it back? This panel will explore the risks and potential solutions as an election year looms.
Lights, Camera, Algorithm! Where AI Fits into Movies, Games and Creativity
with John Spitzer (Nvidia), Nikola Todorovic (Wonder Dynamics) and other speaker to be announced
The threat of AI-generated disinformation, or just plain spam, is on everyone’s mind. We know language models can dish it out, but can they also hold it back? This panel will explore the risks and potential solutions as an election year looms.
TechCrunch Disrupt 2023 runs September 19–21 in San Francisco. Buy your pass now! Seriously, what are you waiting for?
Is your company interested in sponsoring or exhibiting at TechCrunch Disrupt 2023? Contact our sponsorship sales team by filling out this form.
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Announcing the AI Stage agenda at TechCrunch Disrupt 2023
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Announcing AI Stage agenda TechCrunch Disrupt 2023 TechCrunch TechCrunch plusbold TechCrunch Open Navigation TechCrunch Announcing AI Stage agenda TechCrunch Disrupt 2023 Richard Smith 8 hours After years background noise, AI suddenly ubiquitous. From consumer apps enterprise tools medical devices, nearly claims powered AI days. But technologys unprecedented unregulated rise prompts questions provides answers. Fortunately, youre coming Disrupt, day stage dedicated fastmoving industry. Well hear heads major companies pivoting AI, smaller startups aiming change status quo, skeptics questioning ethics, investors looking winners . . . knows winning looks like. Its complex evolving space, knows comes next, intend ask This slice experts builders plenty ask ChatGPT later. This early look agenda, sure check updates We hope youll join TechCrunch Disrupt September 1921 San Francisco. The AI Stage Agenda TechCrunch Disrupt 2023 A Deep Dive DeepMind, Googles Premiere AI Lab Demis Hassabis DeepMind DeepMind, AI lab Google acquired 2014, grown wield enormous influence parent companys AI research. Led Demis Hassabis, DeepMind which, accomplishments, built AI best world champions Go recently charged spearheading Googles generative AI efforts. In fireside chat, Hassabis discuss DeepMinds current projects purview Google including healthcare. Stronger, FasterSafer? Anthropic cofounder Dario Amodei Letting AI Find Its Best Self Dario Amodei Anthropic Is possible AI built ethically, operate safely, remain useful profitable? Anthropic aims thread needle moving slow avoiding breakage raised hundreds millions so. Cofounder CEO Dario Amodei speaks taking complex software attempted hand tied back. Between Hype Hard Place: Gary Marcus AIs Next Steps Gary Marcus Author entrepreneur Balancing skepticism healthy respect havoc AI create, Gary Marcus rational voice hypefilled world. But technology entering mainstream, need warn need action, regulation, cooperation. How it? Marcus ideas. Big Fish, Little Pond: Can Investors Make 10Figure AI Valuations Pay Off Markets No One Is Sure Exist? Miles Grimshaw Benchmark, Sonya Huang Sequoia, Saam Motembi Greylock Everyone agreed AI revolutionize tech, far kind revenue deals justify billiondollar valuations scarce. How venture capitalists institutional investors envision years playing paying out? AI Can Write Words But Can It Understand Them? May Habib Writer speaker announced Textgenerating AI hot new thing tech. But proven major productivity boost some, far perfect. Generative text AI biases and, depending model, tendency generate toxic content confidently facts. Our panelists discuss limitations investments generative AI pick steam. Bias, Toxicity Hallucination: Can AI Be Ethical? Kathy Baxter Salesforce speakers announced Theres palpable excitement AI, especially generative AI, technology problems. At worst, prejudicial untruthful potentially causing harm people use it. Policymakers world grappling implications AI, panel, explore root causes AIs issues responsibly mitigated thats possible. How AI Can Both Accelerate Slow Down Disinformation Economy Gordon Crovitz NewsGuard speakers announced The threat AIgenerated disinformation, plain spam, everyones minds. We know language models dish out, hold back? This panel explore risks potential solutions election year looms. Lights, Camera, Algorithm Where AI Fits Movies, Games Creativity John Spitzer Nvidia, Nikola Todorovic Wonder Dynamics speaker announced The threat AIgenerated disinformation, plain spam, everyones mind. We know language models dish out, hold back? This panel explore risks potential solutions election year looms. TechCrunch Disrupt 2023 runs September 1921 San Francisco. Buy pass Seriously, waiting for? Is company interested sponsoring exhibiting TechCrunch Disrupt 2023? sponsorship sales team filling form.
| 2,023 |
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https://techhq.com/2020/10/how-much-should-we-trust-explainable-ai/
| 2020-10-13T00:00:00 |
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How does explainable AI actually increase our trust?
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How does explainable AI actually increase our trust?
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How much should we trust explainable AI?
Researchers argue that logical explanations from providers can't be universally trusted.
13 October 2020
Haris Elias
@hariselias
[email protected]
All stories
Can we trust what we’re told is in the black box? Source: Shutterstock
Researchers argue that an AI system’s explanations may not actually be as transparent or truthful as previously assumed
The researchers expose how logical explanations from a provider can always be misconstrued, which can be near impossible to detect for an isolated user due to the sheer space and scope for a possible attack
As machine learning and artificial intelligence (AI) applications play a growing role in the services we use, knowingly or not, there is a greater emphasis than ever on the need to be able to understand how these systems are making their decisions.
If a bank refused a mortgage or loan application based on an algorithm, for example, the customer should be entitled to know why.
READ NEXTUK data regulator urges business towards explainable AI
Explainable AI is now a principle of ethical artificial intelligence. The UK’s Information Commissioner’s Office (ICO) even put forward a regulation that businesses and other organizations are required to explain decisions made by AI or face multimillion-dollar fines.
At the root of this drive is trust: by being able to access and understand an algorithm’s decision-making process, society will more openly accept the technology.
In an attempt to better understand how explainable AI may actually impact users’ trust in AI, scientists at the French National Center for Scientific Research and Bretagne Atlantique Research Center carried out a study on AI systems that provide explanations for their actions or predictions.
The paper published in Nature Machine Intelligence, argues that an AI system’s explanations may not actually be as transparent or truthful as previously assumed.
“This paper originates from our desire to explore an intuitive gap,” said Erwan Le Merrer and Gilles Trédan, two researchers who carried out the study, in an interview with TechXplore.
“As interacting humans, we are used to not always trusting provided explanations, yet as computer scientists, we continuously hear that explainability is paramount for the acceptance of AI by the general public. While we recognize the benefits of AI explainability in some contexts, we wanted to make a point on its limits from the user perspective.”
Bouncer problem
In contrary to popular opinion, the researchers discovered that AI explanations may not have as much value as previously believed. While the study states that explanations might have value in local contexts like providing useful feedback to developers who are trying to debug a system, they aren’t as useful in remote contexts seen in AI system’s trained and managed by a specific service provider, where decisions are delivered to users via a third party.
YOU MIGHT LIKEANALYTICSGoogle’s Explainable AI to help decypher black box machine learning
The paper sought to expose how logical explanations from providers can’t be universally trusted.
Drawing a comparison with bouncers outside of nightclubs refusing a guest entry, researchers said remote service providers could lie to users about the reasoning behind an AI’s predictions or actions.
The work in question dismantles the widespread belief that explanations will increase users’ trust in AI systems, and rather concludes the opposite.
Through the use of practical examples of how the explainability of AI systems in remote contexts could be affected by the “the bouncer problem”, it’s hoped that their work will inspire future studies, as well as the development of alternative solutions such as; in-premises white-box algorithm auditing and cryptographic approaches, for increasing people’s trust in AI.
“We plan to continue studying AI systems from the users’ perspective, particularly exploring this question: What can regular users discover/learn/understand/infer about the AI systems that shape a growing part of their life?” Added Le Merrer and Trédan.
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13 October 2020
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How does explainable AI actually increase our trust?
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How explainable AI actually increase trust? Insights Latest Popular Topics POPULAR TOPICS Digital Marketing Big Data Artificial Intelligence IoT Security Social Media Automation Productivity Supply Chain Digital Transformation Ecommerce Payments Analytics Business Intelligence Apps Cryptocurrency Cloud Fintech AI Insights Latest Popular Topics POPULAR TOPICS Digital Marketing Big Data Artificial Intelligence IoT Security Social Media Automation Productivity Supply Chain Digital Transformation Ecommerce Payments Analytics Business Intelligence Apps Cryptocurrency Cloud Fintech AI ARTIFICIAL INTELLIGENCE How trust explainable AI? Researchers argue logical explanations providers universally trusted. 13 October 2020 Haris Elias haris All stories Can trust told black box? Source: Shutterstock Researchers argue AI systems explanations actually transparent truthful previously assumed The researchers expose logical explanations provider misconstrued, near impossible detect isolated user sheer space scope possible attack As machine learning artificial intelligence AI applications play growing role services use, knowingly not, greater emphasis need able understand systems making decisions. If bank refused mortgage loan application based algorithm, example, customer entitled know why. READ NEXTUK data regulator urges business explainable AI Explainable AI principle ethical artificial intelligence. The UKs Information Commissioners Office ICO forward regulation businesses organizations required explain decisions AI face multimilliondollar fines. At root drive trust: able access understand algorithms decisionmaking process, society openly accept technology. In attempt better understand explainable AI actually impact users trust AI, scientists French National Center Scientific Research Bretagne Atlantique Research Center carried study AI systems provide explanations actions predictions. The paper published Nature Machine Intelligence, argues AI systems explanations actually transparent truthful previously assumed. This paper originates desire explore intuitive gap, said Erwan Le Merrer Gilles Trdan, researchers carried study, interview TechXplore. As interacting humans, trusting provided explanations, scientists, continuously hear explainability paramount acceptance AI general public. While recognize benefits AI explainability contexts, wanted point limits user perspective. Bouncer problem In contrary popular opinion, researchers discovered AI explanations value previously believed. While study states explanations value local contexts like providing useful feedback developers trying debug system, arent useful remote contexts seen AI systems trained managed specific service provider, decisions delivered users party. YOU MIGHT LIKEANALYTICSGoogles Explainable AI help decypher black box machine learning The paper sought expose logical explanations providers universally trusted. Drawing comparison bouncers outside nightclubs refusing guest entry, researchers said remote service providers lie users reasoning AIs predictions actions. The work question dismantles widespread belief explanations increase users trust AI systems, concludes opposite. Through use practical examples explainability AI systems remote contexts affected bouncer problem, hoped work inspire future studies, development alternative solutions as; inpremises whitebox algorithm auditing cryptographic approaches, increasing peoples trust AI. We plan continue studying AI systems users perspective, particularly exploring question: What regular users discoverlearnunderstandinfer AI systems shape growing life? Added Le Merrer Trdan. Analytics Big Data SHARE Haris Elias haris All stories New semiconductor help stop supply chain tampering 13 October 2020 Is breakthrough green AI? 13 October 2020 How neural networks transform video 13 October 2020 About Advertise Hybrid brands Jobs @ Bristol Kuala Lumpur Sydney 2020 TechHQ Terms use
| 2,020 |
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https://techhq.com/2020/11/conversational-ai-3-ways-its-benefiting-the-business/
| 2020-11-20T00:00:00 |
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Conversational AI — 3 ways it's changing customer service - TechHQ
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Conversational AI — 3 ways it's changing customer service - TechHQ
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Conversational AI — 3 ways it’s changing customer service
The difficulties imposed by the pandemic have led to a serious rethink of the traditional call center — conversational AI is playing a big part in the solution.
19 November 2020
Joe Devanesan
@thecrystalcrown
[email protected]
All stories
Source: Shutterstock
How can conversational AI platforms overcome the deficiencies of the traditional contact center next year?
As future-forward as it might sound, conversational artificial intelligence (AI) has been semi-present in our lives for years now.
We’ve even been carrying it around in our pockets. Apple’s Siri, Google Assistant, or Amazon’s Alexa are now commonplace virtual assistants within our mobile devices that also happen to be powerful conversational AI tools capable of capturing voice input, processing the data, and providing navigation re-routing to help us find what we’re asking for.
READ NEXTWhy the best chatbots have a human fail-safe
The ‘AI’ aspect of the tech means it learns and improves the more it’s used, and this is why business technology leaders are so interested in its potential to enhance customer service, in a way that’s both convenient for the customer, and time-saving for the business.
The difficulties imposed by the pandemic have led to a serious rethinking in the traditionally call center-based customer service economy. These crowded comms hubs were shut down by social distancing at a time where customer service and clarity was required most.
In place of these designated sites, a market has emerged for cloud-based or distributed contact centers and unified communications solutions.
And conversational AI has a key role to play here, not just in continuing to support businesses and their customers throughout the remainder of the pandemic, but in providing innovative, longer-term solutions that can enhance the customer-brand interaction in the long run.
Increase customer engagement, decrease costs
Traditional IVR (Interactive Voice Response) systems in contact centers become expensive and outdated to maintain as they are not compatible with newer system migrations, such as a shift to cloud.
Operational costs can go up, while archaic IVR struggles to keep up and wait times become longer, dragging customer satisfaction levels down at the same time.
But a cloud-based, conversational AI platform today is capable of leveraging advances in AI, machine learning, voice recognition, and natural language processing (NLP) to more accurately comprehend the customer’s queries and to respond in a more natural way. The AI and machine learning capabilities will even learn from earlier errors, improving its responses for the next interaction.
In the past, more staff would have to be hired to increase the operational output of the classic call center, driving up costs at the same time. With an intelligent, intuitive AI platform there is lesser need to keep hiring and adding to the expenses.
Instead of hiring more, existing CX staff can now be prioritized to handle higher-level queries, keeping customers engaged, and streamlining operational efficiency.
Conversational service automation
Conversational service automation, or CSA, is a combination of overlapping categories such as data analytics, conversational analytics, IVR systems, voice bots, security, robotic process automation (RPA) and customer feedback history, working together in real-time. This solution optimizes and drives both automated human to machine interactions as well as direct conversations between contact center agents and customers.
Covid-19 has been a catalyst for the uptake of new technologies, and in the context of voice and CSA, this is no exception. A global Uniphore survey found that over 42% of the respondents had recently reached out to a contact center to resolve Covid-19-related issues such as travel, employment, insurance, medical or financial matters, but unfortunately many could not handle the influx of calls.
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More than 43% of respondents could not speak with a representative after calling a helpline, according to the survey. Some 40% of respondents also noted that they did not even receive helpful information when finally reaching a healthcare call center.
However, using a combination of conversational AI, data analysis, RPA, and workflow automation, one company that adopted a CSA platform said it had improved the productivity of more than 1,000 of its agents with an 80% reduction in after-call work and a 20% reduction in average handling time – channeling how conversational AI can help manage routine but essential tasks, and supply measurable business value too.
Conversational AI is still improving
Contact center AI is still evolving, thanks to advances that are still iteratively improving including in AI, neural networks, processing power, and speech recognition – itself a multibillion-dollar software market, according to Global Market Insights.
The report indicated that the rapid adoption of advanced technologies such as AI and machine learning are driving the demand for voice-enabled smart devices across the market, contributing to an ever-growing dataset on which to train recognition and voice generation algorithms.
Add to that machine learning and AI progress that has made it possible to not just recognize language patterns but to deduce context and to build relationships, improving the quality of the CX. Additionally, cheap and reliable high-speed networks have made it possible to offload processing to the cloud, enabling rapid “understanding” of peoples’ intents.
The compounded benefits of AI-driven contact center solutions is looking highly promising for next year, and is one of the reasons the international conversational AI market is expected to grow at a compound annual growth rate (CAGR) of nearly 22% between 2020 and 2025.
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Conversational AI 3 ways changing customer service TechHQ Insights Latest Popular Topics POPULAR TOPICS Digital Marketing Big Data Artificial Intelligence IoT Security Social Media Automation Productivity Supply Chain Digital Transformation Ecommerce Payments Analytics Business Intelligence Apps Cryptocurrency Cloud Fintech AI Insights Latest Popular Topics POPULAR TOPICS Digital Marketing Big Data Artificial Intelligence IoT Security Social Media Automation Productivity Supply Chain Digital Transformation Ecommerce Payments Analytics Business Intelligence Apps Cryptocurrency Cloud Fintech AI ARTIFICIAL INTELLIGENCE Conversational AI 3 ways changing customer service The difficulties imposed pandemic led rethink traditional center conversational AI playing big solution. 19 November 2020 Joe Devanesan joe.devanesan All stories Source: Shutterstock How conversational AI platforms overcome deficiencies traditional contact center year? As futureforward sound, conversational artificial intelligence AI semipresent lives years now. Weve carrying pockets. Apples Siri, Google Assistant, Amazons Alexa commonplace virtual assistants mobile devices happen powerful conversational AI tools capable capturing voice input, processing data, providing navigation rerouting help asking for. READ NEXTWhy best chatbots human failsafe The AI aspect tech means learns improves used, business technology leaders interested potential enhance customer service, way thats convenient customer, timesaving business. The difficulties imposed pandemic led rethinking traditionally centerbased customer service economy. These crowded comms hubs shut social distancing time customer service clarity required most. In place designated sites, market emerged cloudbased distributed contact centers unified communications solutions. And conversational AI key role play here, continuing support businesses customers remainder pandemic, providing innovative, longerterm solutions enhance customerbrand interaction long run. rease customer engagement, decrease costs Traditional IVR Interactive Voice Response systems contact centers expensive outdated maintain compatible newer migrations, shift cloud. Operational costs up, archaic IVR struggles wait times longer, dragging customer satisfaction levels time. But cloudbased, conversational AI platform today capable leveraging advances AI, machine learning, voice recognition, natural language processing NLP accurately comprehend customers queries respond natural way. The AI machine learning capabilities learn earlier errors, improving responses interaction. In past, staff hired increase operational output classic center, driving costs time. With intelligent, intuitive AI platform lesser need hiring adding expenses. Instead hiring more, existing CX staff prioritized handle higherlevel queries, keeping customers engaged, streamlining operational efficiency. Conversational service automation Conversational service automation, CSA, combination overlapping categories data analytics, conversational analytics, IVR systems, voice bots, security, robotic process automation RPA customer feedback history, working realtime. This solution optimizes drives automated human machine interactions direct conversations contact center agents customers. Covid19 catalyst uptake new technologies, context voice CSA, exception. A global Uniphore survey 42 respondents recently reached contact center resolve Covid19related issues travel, employment, insurance, medical financial matters, unfortunately handle influx calls. YOU MIGHT LIKEAUTOMATIONHow design chatbot customers actually like More 43 respondents speak representative calling helpline, according survey. Some 40 respondents noted receive helpful information finally reaching healthcare center. However, combination conversational AI, data analysis, RPA, workflow automation, company adopted CSA platform said improved productivity 1,000 agents 80 reduction aftercall work 20 reduction average handling time channeling conversational AI help manage routine essential tasks, supply measurable business value too. Conversational AI improving center AI evolving, thanks advances iteratively improving including AI, neural networks, processing power, speech recognition multibilliondollar software market, according Global Market Insights. The report indicated rapid adoption advanced technologies AI machine learning driving demand voiceenabled smart devices market, contributing evergrowing dataset train recognition voice generation algorithms. Add machine learning AI progress possible recognize language patterns deduce context build relationships, improving quality CX. Additionally, cheap reliable highspeed networks possible offload processing cloud, enabling rapid understanding peoples intents. The compounded benefits AIdriven contact center solutions looking highly promising year, reasons international conversational AI market expected grow compound annual growth rate CAGR nearly 22 2020 2025. Customer Experience Digital Transformation SHARE Joe Devanesan joe.devanesan All stories Even advanced AI requires gruntwork 19 November 2020 Why didnt 5G 2020? Here 3 reasons 19 November 2020 Is virtual collaboration critical 5G use case? 18 November 2020 About Advertise Hybrid brands Jobs @ Bristol Kuala Lumpur Sydney 2020 TechHQ Terms use
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India | Over Half Of Students Believe Using Chatgpt To Do Assignments Is Cheating Report
Over half of students believe using ChatGPT to do assignments is cheating: Report
Nine in ten students who have tried AI tools say they've used them for personal projects, out of curiosity, or for fun
By
IANS
Published Date - 10:30 PM, Tue - 21 March 23
San Francisco: More than half of college students (51 per cent) believe that using AI tools like ChatGPT to complete assignments and exams counts as cheating or plagiarism, while 1 in 5 use them anyway, a new report has said.
According to a BestColleges survey of 1,000 current undergraduate and graduate students, about 43 per cent of college students say they have experience using AI tools like ChatGPT.
Nine in ten students who have tried AI tools say they’ve used them for personal projects, out of curiosity, or for fun.
Moreover, the report said that most college students (57 per cent) say they do not intend to use or continue using AI to complete assignments or exams, however, close to a third (32 per cent) do, and 11 per cent prefer not to answer.
Among students who say they’ve used AI tools for schoolwork, half (50 per cent) use these tools for some parts but complete the majority themselves.
Further, the report mentioned that three in ten (30 per cent) use AI for the majority of their assignment, and 17 per cent use AI to complete an assignment and then turn it in with no edits.
While half of the college students believe that using AI tools is cheating, institutions are still debating whether AI should be banned from the classroom.
About 54 per cent of the college students say their instructors have not openly discussed the use of AI tools like ChatGPT, and, most college students (60 per cent) say that neither their schools nor instructors have specified how to use AI tools ethically or responsibly.
Around 40 per cent of students say that the use of AI by students defeats the purpose of education.
Many students express concern about the impact of AI on their education or future careers, but they’re more concerned about the impact of AI on society at large.
About 27 per cent of college students worry about the impact of AI on their education, and 31 per cent are worried about the impact on their career or potential career, the findings showed.
Meanwhile, about half of the students (48 per cent) are worried about the impact of AI on society in general.
However, the majority of students (63 per cent) agree that AI can’t replace human intelligence or creativity.
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Over half students believe ChatGPT assignments cheating: Report Telangana Today Tuesday, Mar 21, 2023 HyderabadTelanganaAndhra PradeshIndiaWorldEntertainmentScience TechSportBusiness ... NRIView PointcartoonColumnsReviewsEducation TodayPropertyVideosLifestyleRewind EPaper NRIView PointcartoonColumnsReviewsEducation TodayPropertyVideosLifestyleRewind php pcontext=get__context; ?> Home India Over Half Of Students Believe Using Chatgpt To Do Assignments Is Cheating Report Over half students believe ChatGPT assignments cheating: Report Nine students tried AI tools theyve personal projects, curiosity, fun By IANS Published Date 10:30 PM, Tue 21 March 23 San Francisco: More half college students 51 cent believe AI tools like ChatGPT complete assignments exams counts cheating plagiarism, 1 5 use anyway, new report said. According BestColleges survey 1,000 current undergraduate graduate students, 43 cent college students experience AI tools like ChatGPT. Nine students tried AI tools theyve personal projects, curiosity, fun. Moreover, report said college students 57 cent intend use continue AI complete assignments exams, however, close 32 cent do, 11 cent prefer answer. Among students theyve AI tools schoolwork, half 50 cent use tools parts complete majority themselves. Further, report mentioned 30 cent use AI majority assignment, 17 cent use AI complete assignment turn edits. While half college students believe AI tools cheating, institutions debating AI banned classroom. About 54 cent college students instructors openly discussed use AI tools like ChatGPT, and, college students 60 cent schools instructors specified use AI tools ethically responsibly. Around 40 cent students use AI students defeats purpose education. Many students express concern impact AI education future careers, theyre concerned impact AI society large. About 27 cent college students worry impact AI education, 31 cent worried impact career potential career, findings showed. Meanwhile, half students 48 cent worried impact AI society general. However, majority students 63 cent agree AI replace human intelligence creativity. Also Read OpenAIs ChatGPT Plus subscription available India Apple experimenting languagegenerating AI ChatGPT era : Tags AI ChatGPT Students Related News NTT Communications uses AI technology create digital human OpenAIs ChatGPT Plus subscription available India Microsoft launches 365 Copilot Apple experimenting languagegenerating AI ChatGPT era Elon Musk confused nonprofit OpenAI 30 bn profitmaking firm Vignan host webinar ChatGPT Latest News Opinion: Will Junta accept Rohingyas? 6 mins ago Editorial: Nip militancy bud 21 mins ago 3rd ODI: Focus batters India, Australia series decider Chennai 37 mins ago Allu Arjun amazed daughter Arha practices yoga, pics inside 39 mins ago India 2nd targeted ransomware Asia Pacific, Japan region 2022: Report 51 mins ago Major quake shakes north India, triggers panic 1 hour ago Hyderabad outshines Bengaluru, Mumbai residential property sales 1 hour ago WPL: Delhi Capitals beat UP Warriorz 5 wickets, qualify directly final 1 hour ago company Home Us business telangana today Telangana Hyderabad Latest News Entertainment World Andhra Pradesh Science Tech Sport follow 2022 TELANGANA PUBLICATIONS PVT. LTD. . Powered Veegam
| 2,023 |
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https://telecom.economictimes.indiatimes.com/amp/news/internet/european-privacy-watchdog-creates-chatgpt-task-force/99479288
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European privacy watchdog creates ChatGPT task force
Experts, U.S. government and several other European governments have also expressed concern about the rapid growth of adoption of ChatGPT and similar AI products.
Reuters
Updated On Apr 14, 2023 at 07:52 AM IST
FILE PHOTO: OpenAI and ChatGPT logos are seen in this illustration taken, February 3, 2023. REUTERS/Dado Ruvic/IllustrationBy Toby Sterling BRUSSELS: The body that unites Europe's national privacy watchdogs said on Thursday it had set up a task force on ChatGPT, a potentially important first step toward a common policy on setting privacy rules on artificial intelligence.
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The move by the European Data Protection Board (EDPB) follows a unilateral move by Italy last month to curb ChatGPT - a stance that Germany's commissioner for data protection said could be followed in Europe's biggest economy. Spain's AEPD watchdog said on Thursday that it too would launch a preliminary investigation into potential data breaches by ChatGPT. ChatGPT, an AI program that grabbed the public's attention for its ability to write answers quickly to a wide range of queries, has grown to be the fastest-growing consumer application in history with more than 100 million monthly active users, while raising questions about threats it may pose to safety, privacy and jobs. Experts, U.S. government and several other European governments have also expressed concern about the rapid growth of adoption of ChatGPT and similar AI products. "The EDPB members discussed the recent enforcement action undertaken by the Italian data protection authority against OpenAI about the Chat GPT service," the statement said. "The EDPB decided to launch a dedicated task force to foster cooperation and to exchange information on possible enforcement actions conducted by data protection authorities." A source at one national watchdog who asked not to be identified because they were not authorized to speak to the media said member states hoped to align their policy positions but this would take time. The source said member states were not seeking to punish or make rules that will affect Microsoft Corp-backed ChatGPT owner OpenAI, but rather to create general policies that "are transparent." They said attendees at Thursday's meeting included policy experts who presented opinions and exchanged ideas, rather than being decision makers. The EDPB is an independent body that oversees data protection rules in the European Union, and it is composed of national data protection watchdogs. The organization could not immediately be reached for comment. The discussion of ChatGPT was added to the body's agenda following a request from Spain to discuss the matter earlier this week.
Reuters
Published On Apr 14, 2023 at 07:50 AM IST
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European privacy watchdog creates ChatGPT task force, Telecom News, ET Telecom Get App Home News Exclusives Events Awards More Go Leaders Speak Webinars Satcom Industry Policy Telecom Equipment Enterprise Services Devices Mobile Apps TeleTalk Jobs Careers Transform Your Network Intel TeleStats Smartphone MasterClasses Newsletters Us ETTelecom 5G Congress 2023 Bringing industry leaders, policymakers regulatory officials discuss roadmap 5G. Digital Telco Summit 2022 With telecom carriers launching commercial 5G services close collaboration technology providers, high time bring enterprise business centrestage generationcentric strategies IT infrastructure compa Internet 2 min read European privacy watchdog creates ChatGPT task force Experts, U.S. government European governments expressed concern rapid growth adoption ChatGPT similar AI products. Reuters Updated On Apr 14, 2023 07:52 AM IST FILE PHOTO: OpenAI ChatGPT logos seen illustration taken, February 3, 2023. REUTERSDado RuvicIllustrationBy Toby Sterling BRUSSELS: The body unites Europes national privacy watchdogs said Thursday set task force ChatGPT, potentially important step common policy setting privacy rules artificial intelligence. Advt The European Data Protection Board EDPB follows unilateral Italy month curb ChatGPT stance Germanys commissioner data protection said followed Europes biggest economy. Spains AEPD watchdog said Thursday launch preliminary investigation potential data breaches ChatGPT. ChatGPT, AI program grabbed publics attention ability write answers quickly wide range queries, grown fastestgrowing consumer application history 100 million monthly active users, raising questions threats pose safety, privacy jobs. Experts, U.S. government European governments expressed concern rapid growth adoption ChatGPT similar AI products. The EDPB members discussed recent enforcement action undertaken Italian data protection authority OpenAI Chat GPT service, statement said. The EDPB decided launch dedicated task force foster cooperation exchange information possible enforcement actions conducted data protection authorities. A source national watchdog asked identified authorized speak media said member states hoped align policy positions time. The source said member states seeking punish rules affect Microsoft Corpbacked ChatGPT owner OpenAI, create general policies transparent. They said attendees Thursdays meeting included policy experts presented opinions exchanged ideas, decision makers. The EDPB independent body oversees data protection rules European Union, composed national data protection watchdogs. The organization immediately reached comment. The discussion ChatGPT added bodys agenda following request Spain discuss matter earlier week. Reuters Published On Apr 14, 2023 07:50 AM IST Most Read Internet Jailbreaking ChatGPT: How AI chatbot safeguards bypassed Google Amazon struggle lay workers Europe Meet SenseChat, Chinas latest answer ChatGPT India lacks transparency Internet shutdowns: US advocacy group Join community 2M industry professionals newsletter latest insights analysis. Enter Email Download ETTelecom App Get Realtime updates Save favourite articles ChatGPT european union OpenAI European Data Protection Board OpenAI ChatGPT Microsoft News See whats happening Telecom sector right Exclusive Read insights specially curated unique stories editorial Leaders Speak Business leaders sharing insights Events Explore discuss challenges trends Indias leading B2B events Awards Recognise work stood purposeful Webinars Join leaders experts roundtables, conferences, panels discussions Join community 2M industry professionals Daily, Weekly, Evening NewsLetter, Take look By continuing agree Terms Conditions News Leaders Speak Exclusive Events Awards Webinars Newsletters Us RSS Feed Sitemap Advertise With Us We options advertise including Events, Advertorials, Banners, Mailers, etc. Us Download ETTelecom App Save favourite articles seamless reading experience Follow latest news ET Business Verticals India Auto Retail Health Energy CIO Real Estate Marketing Advertising CFO IT Security BFSI Government Hospitality HR Legal ET TravelWorld Infra B2B CIOSEA HRSEA HRME Trending OneWeb Starlink Satcom ISRO ISPA SpaceX . All Right Reserved.
| 2,023 |
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https://thedailychronicle.in/news/1738793/artificial-intelligence-in-chatbot-security-market-views-sought-on-new-approach/
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Artificial Intelligence in Chatbot Security Market: Views Sought On New Approach
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Artificial Intelligence in Chatbot Security Market: Views Sought On New Approach
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Artificial Intelligence Chatbot Security Market: Views Sought On New Approach The Daily Chronicle Skip content The Daily ChronicleScience, Satellite Space Daily News Menu Energy NASA Satellite Space News Market Reports for: Close search Close Menu Energy NASA Satellite Space News Market Reports Categories News Artificial Intelligence Chatbot Security Market: Views Sought On New Approach Post author By nirav Post date 23rd September 2020 Global Artificial Intelligence Chatbot Security Market: Development History, Current Analysis Estimated Forecast 2026 September Limited Time offer, ApplyCMIFIRST1000PromocodeSAVE 1000USDonepremium report sample Copy The Global Artificial Intelligence Chatbot Security Market Report 2020 Published complete study business sectors,market outlines, industry scope, present market Analysis, future forecast, goes detail. The Industry Artificial Intelligence Chatbot Security report includes thoughtful market insights, historical data, statistically analysis, Qualitative Quantitative data market projections Using Industry Top Players, Types End user. Global Artificial Intelligence Chatbot Security Market Analysis Report ludes Top Manufacturers Maruti Techlabs, Inbenta Technologies, ., Nuance Communications, ., Next IT Corporation, Kore.ai, ., CreativeVirtual, Pypestream, Nano Rep, ., Mindmeld, . Ubisend Get PDF Brochure: Along company profile, opportunities, growth aspects, threats market development. This report presents industry analysis forecast timescale. The latest industry related importexport scenario, industry events, market share covered report.The study offers insightful detailed informationdata concerning ends users, new technologies, standardization, regulation, market projections key Players operating Artificial Intelligence Chatbot Security Market more. The Artificial Intelligence Chatbot Security market segmented manufacturer, end users, application respective dataMarket Size Forecast, Sales Revenue, Price, Gross Margin, Different Demand Market Region, Main Consumer Profile, etc. Global Artificial Intelligence Chatbot Security Market Categorised On Basis Of Types, Applications And Regions Land Restoration Market, Services Residential Services Commercial Services, Application Agriculture, Forestation, Others, Geography Global Industry Insights, Trends, Outlook, Opportunity Analysis, 20172025 NOTE:Our reports include analysis impact ofCOVID19on industry. Our new sample updated correspond innew report showing impact Covid19on Industry trends. Also areoffering 1000USD discount Global Artificial Intelligence Chatbot Security Regions USA Europe Japan China India South East Asia BuyNow Research Report TABLE OF CONTENT Artificial Intelligence Chatbot Security Market outline International Artificial Intelligence Chatbot Security market Followed makers Artificial Intelligence Chatbot Security Market capability, Generation, Sales Worth Region 20182026 Artificial Intelligence Chatbot Security Market provide Production, Presence, Export, printed Region 20182026 Artificial Intelligence Chatbot Security market Production, Revenue Worth , value Trend kind Artificial Intelligence Chatbot Security marketing research Application Artificial Intelligence Chatbot Security Market makers ProfilesAnalysis Artificial Intelligence Chatbot Security Market producing analysis Marketingstrategy Analysis, DistributorsTrader Appendix Pandemic offer customers: Purchase Report availing 22 Discount free consultation. Limited period offer. Global Artificial Intelligence Chatbot Security market report explains indepth information market development trend, downstream demand, analysis upstream raw materials, current market. In end, report makes important proposals new project Artificial Intelligence Chatbot Security market evaluating possibility. Thanks reading Artificial Intelligence Chatbot Security report; individual chapter wise section region wise report category wise divide Artificial Intelligence Chatbot Security report. 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https://thedailychronicle.in/news/3032968/updated-press-release-for-global-mobile-artificial-intelligence-mai-market-report-2021-forecast-opportunities-and-strategies-covid-19-impact-and-recovery-top-key-players-ibm-microsoft-huawei-t-2/
| 2021-04-06T00:00:00 |
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Updated Press Release for Global Mobile Artificial Intelligence (MAI) Market Report 2021 Forecast, Opportunities and Strategies : COVID 19 Impact and Recovery Top Key Players IBM, Microsoft, Huawei Technologies, MediaTek, Apple Inc., Samsung Electronics, Intel Corporation, Qualcomm Incorporated, Google Inc., Nvidia Corporation and more – The Daily Chronicle
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Updated Press Release for Global Mobile Artificial Intelligence (MAI) Market Report 2021 Forecast, Opportunities and Strategies : COVID 19 Impact and Recovery Top Key Players IBM, Microsoft, Huawei Technologies, MediaTek, Apple Inc., Samsung Electronics, Intel Corporation, Qualcomm Incorporated, Google Inc., Nvidia Corporation and more – The Daily Chronicle
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Updated Press Release for Global Mobile Artificial Intelligence (MAI) Market Report 2021 Forecast, Opportunities and Strategies : COVID 19 Impact and Recovery Top Key Players IBM, Microsoft, Huawei Technologies, MediaTek, Apple Inc., Samsung Electronics, Intel Corporation, Qualcomm Incorporated, Google Inc., Nvidia Corporation and more
Post author
By Jacob Tylor
Post date
6th April 2021
We have recently updted the 2021 Edition of Global Mobile Artificial Intelligence (MAI) Market Report, Please read the press relaese in order order the free sample copy.
Global Coronavirus pandemic has impacted all industries across the globe, Mobile Artificial Intelligence (MAI) market being no exception. As Global economy heads towards major recession post 2009 crisis, Cognitive Market Research has published a recent study which meticulously studies impact of this crisis on Global Mobile Artificial Intelligence (MAI) market and suggests possible measures to curtail them. This press release is a snapshot of research study and further information can be gathered by accessing the complete report. To Contact Research Advisor Mail us @ [email protected] or call us on +1-312-376-8303.
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The global Mobile Artificial Intelligence (MAI) market research report is anticipated to rise at a considerable rate during forecast period, between 2020 and 2027. The global Mobile Artificial Intelligence (MAI) market report study provides intelligence studies ensuring relevant and fact-based research which help clients understand the significance and impact of market dynamics. This research report covers the current status and future prospects for the global Mobile Artificial Intelligence (MAI) market. Report offers the detailed Mobile Artificial Intelligence (MAI) market overview, development, and segment by type, application and region. In addition, Mobile Artificial Intelligence (MAI) market research report introduces the market competition overview among the major companies and companies’ profiles.
Segmentation Analysis:
Report involves data connected to the manufacturer’s product portfolio, respective product applications and product features. The report also provides a complete examination of the numerous possibilities present in the business through the segmentation of companies. The report collectively delivers rationalization and comparison of the growth trends worldwide in various geographical regions U.S., UK, Europe, France, Germany, China, Japan, India, geographical area, Brazil, Mideast, and Africa.
Global Mobile Artificial Intelligence (MAI) Market: Product analysis: 10nm, 20nm to 28nm, 7nm & Others
Global Mobile Artificial Intelligence (MAI) Market: Application analysis: Smartphone, Camera, Automotive, Robotics, ARVR/Drones
Some of the key players operating in this market include IBM, Microsoft, Huawei Technologies, MediaTek, Apple Inc., Samsung Electronics, Intel Corporation, Qualcomm Incorporated, Google Inc., Nvidia Corporation . Manufacturers are facing continued downward pressure on demand, production and revenues as the COVID-19 pandemic strengthens. Manufacturing in the Euro-area experienced a substantial deterioration in its business cycle as the impact of COVID-19 hit both the demand and supply sides of the technology industry.
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Industry trends:
The report incorporates the historical and current figures or sales of a Mobile Artificial Intelligence (MAI) in terms of value, volume for future prediction and investment in the business. The report has significant advantageous factors that helps in growing the business over a period of time. The report provides important data to the clients using figures, tables, charts in the report represented graphically, which helps clients or enterprise in making business decision that leads to swift growth of the Mobile Artificial Intelligence (MAI) market.
Competitive landscape and Major manufacturers:
Moreover, the study demonstrates the competitive landscape of major players operating in the Mobile Artificial Intelligence (MAI) market with their diverse portfolio and regional expansion activities. The report also includes participants’ financial overview which consists of an assessment of revenue outcomes, sales, cash flow, gross margin, R&D investments, and growth rate which will allow clients to gain intact knowledge of participants’ financial strengths and position in the Mobile Artificial Intelligence (MAI) market. The production volume, production capacity, raw material sourcing, plant locations, manufacturing processes, distribution networks, and global presence are also considered in the report. Additionally, the report also provides a patent analysis of the key competitors present in the market. The report covers current market advantages, weakness in their promotional strategies.
Executive Summary of the Mobile Artificial Intelligence (MAI):
• The report involves a detailed study on growth, investment opportunities, market statistics, growing competition analysis, major key players, industry facts, all important figures, sales, price, revenue, gross margin, market share, business strategies, top regions with demand and developments.
• Report exhibits a comprehensive analysis of the historic, current, and future trends across the globe. The report provides definitions, classifications, product specifications, and market overview, manufacturing processes, cost structures, and raw material analysis.
Key highlights of the Mobile Artificial Intelligence (MAI):
• Market Dynamics
• Industry Trends
• Value chain analysis
• PORTER Five force model
• Company profile analysis
• PESTLE and SWOT analysis
• Technology Roadmap
• Major Distributors, Traders.
Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—> https://www.cognitivemarketresearch.com/mobile-artificial-intelligence-%28mai%29-market-report#download_report
The report offers estimations about top players and analyses their actions such as developments, product launches, acquisitions, mergers, joint ventures and competitive research in the market. This is a promising, client-centric, and trustworthy report, which fulfils the client's business needs. The report studies the growth rate of the Mobile Artificial Intelligence (MAI) by revenue, chain structure, manufacturing process, and market entry strategies. The market share of each product application, as well as anticipated revenue that each application holds, is described in the report. Data about several tricks and tactics implemented by prominent shareholders with regards to product marketing is given the report.
About Us:
Cognitive Market Research is one of the finest and most efficient Market Research and Consulting firm. The company strives to provide research studies which include syndicate research, customized research, round the clock assistance service, monthly subscription services, and consulting services to our clients. We focus on making sure that based on our reports, our clients are enabled to make most vital business decisions in easiest and yet effective way. Hence, we are committed to delivering them outcomes from market intelligence studies which are based on relevant and fact-based research across the global market.
Contact Us: +1-312-376-8303
Email: href="mailto:[email protected]">[email protected]
Web: https://www.cognitivemarketresearch.com/
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Updated Press Release for Global Mobile Artificial Intelligence (MAI) Market Report 2021 Forecast, Opportunities and Strategies : COVID 19 Impact and Recovery Top Key Players IBM, Microsoft, Huawei Technologies, MediaTek, Apple Inc., Samsung Electronics, Intel Corporation, Qualcomm Incorporated, Google Inc., Nvidia Corporation and more
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Updated Press Release Global Mobile Artificial Intelligence MAI Market Report 2021 Forecast, Opportunities Strategies : COVID 19 Impact Recovery Top Key Players IBM, Microsoft, Huawei Technologies, MediaTek, Apple ., Samsung Electronics, Intel Corporation, Qualcomm orporated, Google ., Nvidia Corporation The Daily Chronicle Skip content The Daily ChronicleScience, Satellite Space Daily News Menu Energy NASA Satellite Space News Market Reports for: Close search Close Menu Energy NASA Satellite Space News Market Reports Categories News Updated Press Release Global Mobile Artificial Intelligence MAI Market Report 2021 Forecast, Opportunities Strategies : COVID 19 Impact Recovery Top Key Players IBM, Microsoft, Huawei Technologies, MediaTek, Apple ., Samsung Electronics, Intel Corporation, Qualcomm orporated, Google ., Nvidia Corporation Post author By Jacob Tylor Post date 6th April 2021 We recently updted 2021 Edition ofGlobal Mobile Artificial Intelligence MAI Market Report, Please read press relaese order order free sample copy. Global Coronavirus pandemic impacted industries globe, Mobile Artificial Intelligence MAI market exception. As Global economy heads major recession post 2009 crisis, Cognitive Market Research published recent study meticulously studies impact crisis Global Mobile Artificial Intelligence MAI market suggests possible measures curtail them. This press release snapshot research study information gathered accessing complete report. To Research Advisor Mail @ [emailprotected] 13123768303. Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> The global Mobile Artificial Intelligence MAI market research report anticipated rise considerable rate forecast period, 2020 2027. The global Mobile Artificial Intelligence MAI market report study provides intelligence studies ensuring relevant factbased research help clients understand significance impact market dynamics. This research report covers current status future prospects global Mobile Artificial Intelligence MAI market. Report offers detailed Mobile Artificial Intelligence MAI market overview, development, segment type, application region. In addition, Mobile Artificial Intelligence MAI market research report introduces market competition overview major companies companies profiles. Segmentation Analysis: Report involves data connected manufacturers product portfolio, respective product applications product features. The report provides complete examination numerous possibilities present business segmentation companies. The report collectively delivers rationalization comparison growth trends worldwide geographical regions U.S., UK, Europe, France, Germany, China, Japan, India, geographical area, Brazil, Mideast, Africa. Global Mobile Artificial Intelligence MAI Market: Product analysis: 10nm, 20nm 28nm, 7nm Others Global Mobile Artificial Intelligence MAI Market: Application analysis: Smartphone, Camera, Automotive, Robotics, ARVRDrones Some key players operating market include IBM, Microsoft, Huawei Technologies, MediaTek, Apple ., Samsung Electronics, Intel Corporation, Qualcomm orporated, Google ., Nvidia Corporation . Manufacturers facing continued downward pressure demand, production revenues COVID19 pandemic strengthens. Manufacturing Euroarea experienced substantial deterioration business cycle impact COVID19 hit demand supply sides technology industry. Get A Free Sample Mobile Artificial Intelligence MAI Market Report: Industry trends: The report incorporates historical current figures sales Mobile Artificial Intelligence MAI terms value, volume future prediction investment business. The report significant advantageous factors helps growing business period time. The report provides important data clients figures, tables, charts report represented graphically, helps clients enterprise making business decision leads swift growth Mobile Artificial Intelligence MAI market. Competitive landscape Major manufacturers: Moreover, study demonstrates competitive landscape major players operating Mobile Artificial Intelligence MAI market diverse portfolio regional expansion activities. The report includes participants financial overview consists assessment revenue outcomes, sales, cash flow, gross margin, RD investments, growth rate allow clients gain intact knowledge participants financial strengths position Mobile Artificial Intelligence MAI market. The production volume, production capacity, raw material sourcing, plant locations, manufacturing processes, distribution networks, global presence considered report. Additionally, report provides patent analysis key competitors present market. The report covers current market advantages, weakness promotional strategies. Executive Summary Mobile Artificial Intelligence MAI: The report involves detailed study growth, investment opportunities, market statistics, growing competition analysis, major key players, industry facts, important figures, sales, price, revenue, gross margin, market share, business strategies, regions demand developments. Report exhibits comprehensive analysis historic, current, future trends globe. The report provides definitions, classifications, product specifications, market overview, manufacturing processes, cost structures, raw material analysis. Key highlights Mobile Artificial Intelligence MAI: Market Dynamics Industry Trends Value chain analysis PORTER Five force model Company profile analysis PESTLE SWOT analysis Technology Roadmap Major Distributors, Traders. 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] | 1 | 197,981 |
https://thehill.com/opinion/technology/3890357-chatgpt-blues-the-coming-generative-ai-gerrymandering-of-the-american-mind/
| 2023-03-13T00:00:00 |
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ChatGPT blues: The coming generative AI gerrymandering of the American mind | The Hill
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ChatGPT blues: The coming generative AI gerrymandering of the American mind | The Hill
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ChatGPT blues: The coming generative AI gerrymandering of the American mind
by Kashyap Kompella and James Cooper, Opinion Contributors - 03/13/23 11:30 AM ET
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AP Photo/Stephen Brashear
An employee demonstrates a search feature integration of a browser with OpenAI, which developed ChatGPT, on Feb. 7, 2023, in Redmond, Wash.
ChatGPT is all the rage lately. It represents an “aha” moment for artificial intelligence (AI), as people wonder, “What can ChatGPT do for me?” With so many tantalizing possibilities of this generative AI, investments are pouring in — to explore how it can be leveraged in education, media, art, marketing, health care, law and beyond.
ChatGPT has been trained on vastly more text than individual experts can ever hope to read. So, it is not surprising that ChatGPT is viewed as an objective oracle and friendly guide to any and all topics under the sun. In this giddy excitement, we are overlooking that it can gradually shape individual beliefs and shift social attitudes: As you rely on it more and more, this machine’s worldview easily could become your worldview. Vox AI, vox populi!
Indeed, it turns out that ChatGPT may be an influencer with an agenda. Early research shows consistent, left-of-center leanings of ChatGPT. Compared to conservative positions, it exhibits a positive sentiment and tone toward liberal politicians and policies. Ditto for the European Union, where ChatGPT responses align more closely with some political parties than others.
Isn’t AI supposed to be objective? If it is not objective, what causes such leanings? First, ChatGPT picks up a liberal bent from the corpus of text on which it is trained. The mantra of responsible media is balance, objectivity and the consideration of all sides of a story. But does the AI training corpus include differing worldviews? Secondly, during the training process, humans assess the AI-generated responses and teach it what is considered to be kosher and what is not. Not surprisingly, the biases of these human operators creep in. In the end, generative AI may be a stochastic parrot, but the public views it differently and uses it as a pundit with a bully pulpit.
Clearly, newspapers, electronic media and social networks all affect the shaping of public opinion in the United States and elsewhere. There long has been simmering discontent that Big Tech and popular social media companies are putting their thumbs on the scales of public discourse — that their recommendation algorithms boost left-of-center-based content.
Recommendation algorithms have become an important variable in the political process — and even electoral success. That is why, for the past few years, there has been political protest, public debate and litigation accusing social media platforms such as Facebook, Twitter and YouTube of favoring one type of ideology or the other and not acting as the neutral arbiters they profess to be.
Enter ChatGPT onto this soapbox. As this new generative AI tool gains more adoption, it will become a trusted gateway to gain knowledge and users may turn to it several times a day. What will be the cumulative impact of the consumption of millions of messages imprinted with ideological leanings? This conditioning effect seems remarkably similar to the worry in the United States about TikTok’s takeover of the teenage mind.
ChatGPT is but one tool that reflects a particular political persuasion. There will be other generative tools in the pipeline, which will span the political spectrum. Each will have its own ideology, knowingly and unknowingly. Is it going to be possible to keep track of the political leanings of all these tools? Polarization and retreats into our preferred information bubbles and echo chambers are already rampant. So, will generative AI’s conditioning entrench us even further and result in a “gerrymandering of the American mind”?
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From schoolchildren to senior citizens, ChatGPT can become anyone’s AI assistant. But ChatGPT and other generative AI tools also can foment larger problems that go to the heart of our polity. Our natural public policy reflex is to seek regulation. But to get regulation right is not easy. Given today’s polarization in politics about liberal democracies, our political establishment may not have the wherewithal to provide nuanced oversight.
We can start to address these concerns by understanding the technology and its challenges. Rep. Don Beyer (D-Va.) is studying for a master’s degree in artificial intelligence. More members of Congress, their staffers and their legal teams should come up to speed on the manner in which AI works. They cannot ask ChatGPT to solve this problem.
Kashyap Kompella (@kashyapkompella), CFA, is president and CEO of RPA2AI Research and visiting faculty at the Institute of Directors. James Cooper is a professor of Law at California Western School of Law in San Diego and a research fellow at Singapore University of Social Sciences.
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California, struggling weekend floods, braces new atmospheric river Energy Environment 4m 41s ago Five things know Silicon Valley Bank takeover Administration 5m 51s ago Surveillance reform: The FISA reauthorization debate distraction Congress Blog 15m 6s ago Five things know Willow Project Energy Environment 20m 52s ago JeanPierre calls Pence apologize Buttigieg, postpartum depression jokes Administration 24m 54s ago North Korea test fires missiles submarine amid US, South Korean military drills International 25m 53s ago 62 House Democrats Biden administration bolster child labor enforcement House 43m 56s ago The Hills 12:30 Report Biden assures banking safe SVB collapse 12:30 Report 44m 2s ago View Load Opinion>Technology The views expressed contributors view The Hill ChatGPT blues: The coming generative AI gerrymandering American mind Kashyap Kompella James Cooper, Opinion Contributors 031323 11:30 AM ET Facebook Share Twitter Tweet ... More Kashyap Kompella James Cooper, Opinion Contributors 031323 11:30 AM ET Facebook Share Twitter Tweet ... More Share Twitter > Twitter Facebook Facebook LinkedIn LinkedIn Whatsapp Whatsapp Email Email AP PhotoStephen Brashear An employee demonstrates search feature integration browser OpenAI, developed ChatGPT, Feb. 7, 2023, Redmond, Wash. ChatGPT rage lately. It represents aha moment artificial intelligence AI, people wonder, What ChatGPT me? With tantalizing possibilities generative AI, investments pouring explore leveraged education, media, art, marketing, health care, law beyond. ChatGPT trained vastly text individual experts hope read. So, surprising ChatGPT viewed objective oracle friendly guide topics sun. In giddy excitement, overlooking gradually shape individual beliefs shift social attitudes: As rely more, machines worldview easily worldview. Vox AI, vox populi Indeed, turns ChatGPT influencer agenda. Early research shows consistent, leftofcenter leanings ChatGPT. Compared conservative positions, exhibits positive sentiment tone liberal politicians policies. Ditto European Union, ChatGPT responses align closely political parties others. Isnt AI supposed objective? If objective, causes leanings? First, ChatGPT picks liberal bent corpus text trained. The mantra responsible media balance, objectivity consideration sides story. But AI training corpus include differing worldviews? Secondly, training process, humans assess AIgenerated responses teach considered kosher not. Not surprisingly, biases human operators creep in. In end, generative AI stochastic parrot, public views differently uses pundit bully pulpit. Clearly, newspapers, electronic media social networks affect shaping public opinion United States elsewhere. There long simmering discontent Big Tech popular social media companies putting thumbs scales public discourse recommendation algorithms boost leftofcenterbased content. Recommendation algorithms important variable political process electoral success. That why, past years, political protest, public debate litigation accusing social media platforms Facebook, Twitter YouTube favoring type ideology acting neutral arbiters profess be. Enter ChatGPT soapbox. As new generative AI tool gains adoption, trusted gateway gain knowledge users turn times day. What cumulative impact consumption millions messages imprinted ideological leanings? This conditioning effect remarkably similar worry United States TikToks takeover teenage mind. ChatGPT tool reflects particular political persuasion. There generative tools pipeline, span political spectrum. Each ideology, knowingly unknowingly. Is going possible track political leanings tools? Polarization retreats preferred information bubbles echo chambers rampant. So, generative AIs conditioning entrench result gerrymandering American mind? The case impeaching Homeland Security Secretary Alejandro Mayorkas This spring break, fentanyl notsosilent killer From schoolchildren senior citizens, ChatGPT anyones AI assistant. But ChatGPT generative AI tools foment larger problems heart polity. Our natural public policy reflex seek regulation. But regulation right easy. Given todays polarization politics liberal democracies, political establishment wherewithal provide nuanced oversight. We start address concerns understanding technology challenges. Rep. Don Beyer DVa. studying masters degree artificial intelligence. More members Congress, staffers legal teams come speed manner AI works. They ask ChatGPT solve problem. Kashyap Kompella CFA, president CEO RPA2AI Research visiting faculty Institute Directors. James Cooper professor Law California Western School Law San Diego research fellow Singapore University Social Sciences. Tags Artificial intelligence ChatGPT leftwing ideology Social media 2023 Nexstar Media . . 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Home › Emerging Tech › Forget AI Tom Cruise, experts are worried about deepfake satellites
Forget AI Tom Cruise, experts are worried about deepfake satellites
Deepfakes can be hilarious. They can also be dangerous. Now, geographers are concerned.
By:
Jacob Cohen
|
@ImJacobCohen
April 30, 2021
Are those circles real? (Source: DigitalGlobe / ScapeWare3d / Getty Images)
When a TikTok of Tom Cruise doing magic went viral earlier this year, people quickly discovered the real magic was that the videos weren’t actually of Tom Cruise.
They were deepfakes — AKA an impersonator was wearing an AI-generated Tom Cruise face mask.
Understandably, security experts have warned about the dangers of deepfake tech falling into the wrong hands.
Now, geographers are worried, too
A team from the University of Washington recently created software that can both generate deepfake satellite imagery and, importantly, detect fakes.
It’s not a new problem for geographers either. “Paper towns” and “trap streets” are fake markers that cartographers use to catch map plagiarizers.
But today’s geographic deepfakes are harder to detect. Think:
Deepfake satellite imagery of natural disasters
A fake bridge, building, mountain, or river to trick military planners
Nonetheless, the deepfake business is growing
Deepfake app Avatarify (not pronounced “ava-terrify”) saw users generate 140m videos on its platform this year. Another app, Reface, raised $5.5m and has been downloaded 70m times since launching in January 2020.
A 2019 malaria awareness deepfake ad featured David Beckham speaking in 9 languages and quickly hit 400m impressions.
Only time will tell how deepfakes will balance comedy, utility, and security. While you wait, check out this deepfake of Mike Tyson and Snoop Dogg as Oprah and Gayle King.
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Forget AI Tom Cruise, experts are worried about deepfake satellites
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Forget AI Tom Cruise, experts worried deepfake satellites Skip content Main Navigation Newsletter Latest Email Archive News Originals Podcasts Exit Strategy My First Million Trends About Generic filters Hidden label Hidden label Hidden label Hidden label Home Emerging Tech Forget AI Tom Cruise, experts worried deepfake satellites Forget AI Tom Cruise, experts worried deepfake satellites Deepfakes hilarious. They dangerous. Now, geographers concerned. By: Jacob Cohen April 30, 2021 Are circles real? Source: DigitalGlobe ScapeWare3d Getty Images When TikTok Tom Cruise magic went viral earlier year, people quickly discovered real magic videos werent actually Tom Cruise. They deepfakes AKA impersonator wearing AIgenerated Tom Cruise face mask. Understandably, security experts warned dangers deepfake tech falling wrong hands. Now, geographers worried, A team University Washington recently created software generate deepfake satellite imagery and, importantly, detect fakes. Its new problem geographers either. Paper towns trap streets fake markers cartographers use catch map plagiarizers. But todays geographic deepfakes harder detect. Think: Deepfake satellite imagery natural disasters A fake bridge, building, mountain, river trick military planners Nonetheless, deepfake business growing Deepfake app Avatarify pronounced avaterrify saw users generate 140m videos platform year. Another app, Reface, raised 5.5m downloaded 70m times launching January 2020. A 2019 malaria awareness deepfake ad featured David Beckham speaking 9 languages quickly hit 400m impressions. Only time tell deepfakes balance comedy, utility, security. While wait, check deepfake Mike Tyson Snoop Dogg Oprah Gayle King. Daily briefings, straight inbox Business tech news 5 minutes Join 1 million people read The Hustle Related Posts Recent Posts Stories Why nearly impossible buy original Bob Ross painting By Zachary Crockett May 1, 2021 Bob Ross hard man find. Though died 1995, late TV painter remains an... Read More Brief The Nasdaq gets groovy listing psychedelics biotech firm MindMed By Kolby Hatch April 30, 2021 MindMed sponsoring clinical trials bring psychedelics hallucinogens LSD, MDMA market. ... Read More Brief Forget AI Tom Cruise, experts worried deepfake satellites By Jacob Cohen April 30, 2021 Deepfakes hilarious. They dangerous. Now, geographers concerned. ... Read More Brief Dr. Parik Patel breaks memey crypto coins By Trung T. Phan April 29, 2021 Everything need know Dogecoin, Safemoon, Cumrocket, Jesus Coin, Garlicoin. ... Read More Brief YouTube unstoppable beast, thanks wardrobe malfunction 9yearold toy critic By Jacob Cohen April 29, 2021 YouTube hotter shows signs slowing down. Without Janet Jackson, existed. ... Read More Brief Hot lidar startup Luminar teams Airbus helicopters safer By Kolby Hatch April 29, 2021 Helmed 26year old billionaire Austin Russell, Luminars LIDAR tech selfdriving cars and...now, helicopters. ... Read More Brief Choice gives choice Bitcoin retirement account By Trung T. Phan April 29, 2021 Choice retirement account holds stocks, gold, ETFs crucially digital assets. ... Read More Brief Kingdom Trusts Choice platform allows Bitcoin retirement account By Trung T. Phan April 28, 2021 Kingdom Trust CEO Ryan Radloff tells vision Choice, retirement account holds stocks, gold digital assets. ... Read More Brief Allelectric pickups By Jacob Cohen April 28, 2021 Auto manufacturers kicking EV production high gear. ... Read More Brief The Washington Post quietly building SaaS powerhouse, Papa Bezos help By Kolby Hatch April 28, 2021 Powered AWS, The Washington Posts publishing software 1k websites. ... Read More TRENDING ORIGINALS The secretary turned Liquid Paper multimilliondollar business Why Delaware sexiest place America incorporate company Meet guy millions Bitcoin millions NFTs Why NFTs suddenly selling millions dollars The Midwestern grandmas stock market celebrities New business ideas best way capitalize. Try 1 Entertaining, informative, keeps coming more... The podcast awesome builders, schemers, dreamers. News Briefs Daily Email Stories Trends My First Million Hustle Con Were Hiring Privacy Snippets HubSpot Facebook Twitter Linkedin Instagram 2021, Hustle Con Media, ., . We use cookies website relevant experience remembering preferences repeat visits. By clicking Accept, consent use ALL cookies. settingsAcceptManage consent Close Privacy Overview This website uses cookies improve experience navigate website. Out these, cookies categorized necessary stored browser essential working basic functionalities website. 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Home Digital ChatGPT and generative AI in enterprise environments
ChatGPT and generative AI in enterprise environments
Posted By: TMO Partneron: April 11, 2023In: Digital, Perfect Word Press Print Email
Infor is cautiously optimistic about the potential for OpenAI’s ChatGPT and other Generative AI models to automate business processes/Unsplash
[PRESS OFFICE] Generative AI describes a new class of foundational models for Natural Language Processing (NLP), writes Phil Lewis, senior vice president of Solution Consulting, International for Infor.
This includes OpenAI’s ChatGPT and DALL-E, Google’s BARD chatbot, Baidu’s ERNIE Artificial Intelligence (AI) model, and others.
Phil Lewis
These models enable users to tap into a variety of data sources, including the Internet, to generate text and code, formulate predictions and summaries, perform translations, analyse images and more.
Infor is cautiously optimistic about the potential for OpenAI’s ChatGPT and other Generative AI models to automate business processes and improve productivity in enterprise environments.
Infor envisions that ChatGPT and other generative AI models could be used for a variety of enterprise use cases such as – but not limited to – writing e-mails, reports, product documentation and web content, creating job descriptions and requisitions, performing product and vendor comparisons, and assembling photos, music tracks and videos for marketing campaigns, for example.
Challenges to overcome
At the same time, there are a number of challenges to be addressed before ChatGPT and other generative AI models can gain widespread adoption in enterprise environments. For example, human control and moderation will be required for some time to boost the accuracy and consistency of the generated content, help reduce socio-political biases, and ensure that a company’s competitive edge is not compromised.
Further, the generation and exchange of business-specific content must adhere to strict legal and data privacy requirements – for example, when companies perform a Data Protection Impact Assessment (DPIA) to ensure compliance with the General Data Protection Regulation (GDPR).
Open AI models also are exposed as APIs, which customers can consume using their own credentials. The openness of Infor’s technology platform, Infor OS, enables customers to register these APIs in Infor’s API gateway and build custom extensions on top of them from Infor cloud. For example, you can easily build a custom skill to chat with Open AI from Infor’s own chatbot. Or you can look up publicly available information on products and vendors from an in-context widget in our Infor portal.
Moderation filters
We strongly advise that any such interactions be subjected to moderation filters provided by Open AI. It also is important to note that, at this moment, the knowledge of this model is based on data up to 2021.
There is no doubt that this is an inflection point in AI and computing. While we expect our customers to adopt this powerful technology rapidly, we also hope they are aware of the potential risks, inaccuracy and privacy concerns behind consuming this powerful technology. Naturally, it’s only a matter of time before the Generative AI space matures and addresses such concerns.
Infor is also investigating ways in which ChatGPT and other generative AI models can complement our current NLP solutions and AI ensemble – delivered in conjunction with Amazon Web Services (AWS), our preferred infrastructure partner. These solutions include voice chat capabilities with our Infor Coleman digital assistant, machine learning (ML) models through our Coleman AI platform, and enterprise search and image recognition capabilities via AWS.
ChatGPT and other generative AI models represent disruptive solutions that already are helping consumers refine the search process, automate the creation of content, and boost individual productivity.
With human control and moderation, these models also have the potential to transform enterprise environments – simplifying code and content generation, automating end-to-end business processes, and boosting employee productivity and satisfaction.
Issued by Perfect Word Consulting (Pty) Ltd: [email protected]
About Infor: Infor is a global leader in business cloud software specialised by industry. We develop complete solutions for our focus industries. Infor’s mission-critical enterprise applications and services are designed to deliver sustainable operational advantages with security and faster time to value. Over 60 000 organisations in more than 175 countries rely on Infor’s 17 000 employees to help achieve their business goals. As a Koch company, our financial strength, ownership structure, and long-term view empower us to foster enduring, mutually beneficial relationships with our customers. Visit www.infor.com.
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ChatGPT generative AI enterprise environments The Media Online Home MOST Awards News Awards Media Mecca Print Newspapers Magazines Publishing Broadcasting TV Radio Cinema Video Digital Mobile Online Agencies Advertising Media agency Public Relations OOH Events Research Education Research Media Education Media Mentor Press Office Press Office TMO.Live Blog Events Jobs Menu Home MOST Awards News Awards Media Mecca Print Newspapers Magazines Publishing Broadcasting TV Radio Cinema Video Digital Mobile Online Agencies Advertising Media agency Public Relations OOH Events Research Education Research Media Education Media Mentor Press Office Press Office TMO.Live Blog Events Jobs LATEST NEWS The Media Yearbook 2023 Fast>>Forward Five ways AI helping people, businesses governments sustainable Zimbabwe prioritises safety journalists Meet Jay I, South Africas AI radio personality ChatGPT generative AI enterprise environments Newschool ad creators world digital innovation, technology content creation BeReal: need social media app? Weekend shuffle Good Hope FM sees exciting new shows Media Moves: Toyota partners Comic Con, Mouton new head marketing Tractor Outdoor, Boomtown wins Wimpy Media organisations condemn SA presidents SLAPP suit journalist Home Digital ChatGPT generative AI enterprise environments ChatGPT generative AI enterprise environments Posted By: TMO Partneron: April 11, 2023In: Digital, Perfect Word Press Print Email Infor cautiously optimistic potential OpenAIs ChatGPT Generative AI models automate business processesUnsplash [PRESS OFFICE] Generative AI describes new class foundational models Natural Language Processing NLP, writes Phil Lewis, senior vice president Solution Consulting, International Infor. Thisincludes OpenAIs ChatGPT DALLE, Googles BARD chatbot, Baidus ERNIE Artificial Intelligence AI model, others. Phil Lewis These models enable users tap variety data sources, including Internet, generate text code, formulate predictions summaries, perform translations, analyse images more. Infor cautiously optimistic potential OpenAIs ChatGPT Generative AI models automate business processes improve productivity enterprise environments. Infor envisions ChatGPT generative AI models variety enterprise use cases limited writing emails, reports, product documentation web content, creating job descriptions requisitions, performing product vendor comparisons, assembling photos, music tracks videos marketing campaigns, example. Challenges overcome At time, number challenges addressed ChatGPT generative AI models gain widespread adoption enterprise environments. For example, human control moderation required time boost accuracy consistency generated content, help reduce sociopolitical biases, ensure companys competitive edge compromised. Further, generation exchange businessspecific content adhere strict legal data privacy requirements example, companies perform Data Protection Impact Assessment DPIA ensure compliance General Data Protection Regulation GDPR. Open AI models exposed APIs, customers consume credentials. The openness Infors technology platform, Infor OS, enables customers register APIs Infors API gateway build custom extensions Infor cloud. For example, easily build custom skill chat Open AI Infors chatbot. Or look publicly available information products vendors incontext widget Infor portal. Moderation filters We strongly advise interactions subjected moderation filters provided Open AI. It important note that, moment, knowledge model based data 2021. There doubt inflection point AI computing. While expect customers adopt powerful technology rapidly, hope aware potential risks, inaccuracy privacy concerns consuming powerful technology. Naturally, matter time Generative AI space matures addresses concerns. Infor investigating ways ChatGPT generative AI models complement current NLP solutions AI ensemble delivered conjunction Amazon Web Services AWS, preferred infrastructure partner. These solutions include voice chat capabilities Infor Coleman digital assistant, machine learning ML models Coleman AI platform, enterprise search image recognition capabilities AWS. ChatGPT generative AI models represent disruptive solutions helping consumers refine search process, automate creation content, boost individual productivity. With human control moderation, models potential transform enterprise environments simplifying code content generation, automating endtoend business processes, boosting employee productivity satisfaction. Issued Perfect Word Consulting Pty Ltd:perfectword About Infor: Infor global leader business cloud software specialised industry. We develop complete solutions focus industries. Infors missioncritical enterprise applications services designed deliver sustainable operational advantages security faster time value. Over 60 000 organisations 175 countries rely Infors 17 000 employees help achieve business goals. As Koch company, financial strength, ownership structure, longterm view empower foster enduring, mutually beneficial relationships customers. Visit Related Articles: Tips manufacturers: Successfully plan supply chain challenges, support complex operations Infor drives futureready enterprises local cloud event: Discover future smarter manufacturing distribution 7 March SaaSbased asset management greater tracking, digitalising, operational Efficiency How secure sound contract renewals 2023 Want continue conversation The Media Online platforms? Comment Twitter ourFacebook. Send suggestions, comments, contributions tipoffs viaemail toglenda.nevill Visited 26 times, 26 visits today Tags: Amazon Web Servicesartificial intelligenceautomationAWSbusiness cloud softwareColeman AIdigitalEnterpriseenterprise applicationsgenerative AIInForInternetITPerfect WordPhil Lewis Previous Newschool ad creators world digital innovation, technology content creation Next Meet Jay I, South Africas AI radio personality Related Articles Five ways AI helping people, businesses governments sustainable April 11, 2023 BeReal: need social media app? April 06, 2023 Why learning agility trumps technical skills workplace today future April 03, 2023 The Media Online definitive online point reference South Africas media industry offering relevant, focused topical news media sector. 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Home Opinion Op-Ed Artificial in...
OpinionOp-Ed
Artificial intelligence’s future value in environmental remediation
By Lia Mussie - October 4, 2023
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Photo credit: Gianna Guirgis
Artificial intelligence is enabling us to rethink how we integrate information, analyze data and use the resulting insights to improve decision-making. The power of AI is revolutionizing various industries, and environmental science is no exception.
With increasing threats of environmental stressors, AI is emerging as a powerful tool in detecting, mapping and mitigating these effects for the future.
As AI increasingly drives innovation and becomes a facet of everyday life, fears about its capabilities are growing.
It doesn’t help that the media and pundits are stoking those fears, suggesting that AI could take over the world, lead to losses of control and privacy and devalue the importance of humans in the workforce.
According to Business News Daily, 69% of people worry that AI could take over their jobs entirely, while 74% predict that AI will eliminate all forms of human labor. However, its potential to remedy environmental problems can be a beneficial use of the technology.
From monitoring air and water quality to predicting the spread of pollutants, AI is already playing a crucial role in safeguarding our environment and public health.
As 2030 quickly approaches, the agreed deadline for hitting climate targets, the world is on track to achieve only 12 percent of the Sustainable Development Goals (SDGs), with progress plateauing or regressing on over half of the set goals.
“How can we use artificial intelligence – the technology that is revolutionizing the production of knowledge – to actually improve lives; to make the world a little bit safer, a little bit healthier, a little bit more prosperous; to help eliminate poverty and hunger; to promote health and access to quality education; to advance gender equity; to save our planet,” said Secretary of State of the United States Anthony Blinken, at the 78th Session of the United Nations’ General Assembly.
The most prominent applications of AI are currently in detecting, mapping and mitigating environmental toxins and pressures, which can help engineers and scientists gather more accurate data, but its uses are constantly growing and developing.
AI can help automate the process of taking and analyzing samples, and recognizing the presence of specific toxins in water, soil or air, so it can report real-time status. In delicate ecosystems, such as coral reefs and wetlands, including those around Florida, studying the parameters of the environment can alert to harmful conditions and propel action.
AI models can also create analytical maps based on historical or statistical data to understand trends and trajectories regarding toxin levels, weather patterns, human activities and other relevant factors. Those models can also evaluate satellite imagery to identify areas where specific conditions may be present and be trained to recognize patterns or changes, which can be extremely important in forecasting future dangerous weather events, enhancing agricultural productivity to combat hunger, responding to disease outbreaks, and addressing other imminent climate change threats to Earth.
These technologies can be also used to identify the sources and pathways of toxins and optimize mitigation strategies, crucial for effective mitigation and intervention, while monitoring the success of mitigation efforts.
If these practices for AI are deployed effectively and responsibly, they can drive inclusive and sustainable growth for all, which can reduce poverty and inequality, advance environmental sustainability and improve lives around the world.
However, real concerns exist that the developing world is being left behind as AI advances rapidly. If not distributed equitably, the technology has the potential to exacerbate inequality.
Countries must work together to promote access to AI around the world, with a particular focus on developing countries. Industrialized nations should share knowledge that can advance progress toward achieving SDGs, as AI has the potential to advance progress on nearly 80 percent of them.
To succeed in directing AI toward achieving the SDGs, complete support and participation from the multistakeholder community of system developers, governments and organizations, and communities is required.
Meanwhile, the need for AI governance is imperative, and support from federal and state governments as well as corporations is crucial to this transition. As AI’s footprint grows and nations work to manage risks, we must maximize its use for the greater good and deepen cooperation across governments to foster beneficial uses for AI.
The United States is committed to supporting and accelerating efforts on AI development, hoping to foster an environment where AI innovation can continue to flourish. Secretary Blinken mentioned the U.S.’s creation of a blueprint for an AI Bill of Rights and Risk Management Framework at the UNGA, which would guide the future use, design and safeguards for these systems.
The US has announced a $15 million commitment, designated to helping more governments leverage the power of AI to drive global good, focused specifically on the SDGs. Commitments and contributions have been made by other countries and large corporations, such as Google, IBM and Microsoft.
We are at an inflection point, and the decisions we make today will affect the world for decades to come, especially when it comes to AI and climate change. AI has the potential to accelerate progress, an immense responsibility to be taken by governments, the private sector, civil society and individuals that must consider the social, economic and environmental aspects of sustainability.
Lia Mussie is a senior majoring in ecosystem science and policy and political science with minors sustainable business and public health.
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TMHThe Miami Hurricane News Academics Administration Campus Life City Community Construction Crime Safety Student Government Sports Basketball Baseball Cross CountryTrack Field Football Soccer SwimmingDiving Tennis Volleyball Commentary Profiles Arts Entertainment Food Fashion Art Music Movies Theater Q A Profiles Canes Chat TreVaughn Howard Opinion Write Letter Editor Letters Editor Staff Editorial Columnists Glass Half Full Heres That Rainy Day Vantage Point Blogs Vs Take Write V Multimedia Podcast Photos Photo Week Advertise Join us: Staff Application Submit News Tip Write Letter Editor Write Dear V TMH Staff Where Find Copy Policies Thank You Sponsors type here... Home Opinion OpEd Artificial in... OpinionOpEd Artificial intelligences future value environmental remediation By Lia Mussie October 4, 2023 FacebookTwitterPinterestWhatsApp Photo credit: Gianna Guirgis Artificial intelligence enabling rethink integrate information, analyze data use resulting insights improve decisionmaking. The power AI revolutionizing industries, environmental science exception. With increasing threats environmental stressors, AI emerging powerful tool detecting, mapping mitigating effects future. As AI increasingly drives innovation facet everyday life, fears capabilities growing. It doesnt help media pundits stoking fears, suggesting AI world, lead losses control privacy devalue importance humans workforce. According Business News Daily, 69 people worry AI jobs entirely, 74 predict AI eliminate forms human labor. However, potential remedy environmental problems beneficial use technology. From monitoring air water quality predicting spread pollutants, AI playing crucial role safeguarding environment public health. As 2030 quickly approaches, agreed deadline hitting climate targets, world track achieve 12 percent Sustainable Development Goals SDGs, progress plateauing regressing half set goals. How use artificial intelligence technology revolutionizing production knowledge actually improve lives; world little bit safer, little bit healthier, little bit prosperous; help eliminate poverty hunger; promote health access quality education; advance gender equity; save planet, said Secretary State United States Anthony Blinken, 78th Session United Nations General Assembly. The prominent applications AI currently detecting, mapping mitigating environmental toxins pressures, help engineers scientists gather accurate data, uses constantly growing developing. AI help automate process taking analyzing samples, recognizing presence specific toxins water, soil air, report realtime status. In delicate ecosystems, coral reefs wetlands, including Florida, studying parameters environment alert harmful conditions propel action. AI models create analytical maps based historical statistical data understand trends trajectories toxin levels, weather patterns, human activities relevant factors. Those models evaluate satellite imagery identify areas specific conditions present trained recognize patterns changes, extremely important forecasting future dangerous weather events, enhancing agricultural productivity combat hunger, responding disease outbreaks, addressing imminent climate change threats Earth. These technologies identify sources pathways toxins optimize mitigation strategies, crucial effective mitigation intervention, monitoring success mitigation efforts. If practices AI deployed effectively responsibly, drive inclusive sustainable growth all, reduce poverty inequality, advance environmental sustainability improve lives world. However, real concerns exist developing world left AI advances rapidly. If distributed equitably, technology potential exacerbate inequality. Countries work promote access AI world, particular focus developing countries. Industrialized nations share knowledge advance progress achieving SDGs, AI potential advance progress nearly 80 percent them. To succeed directing AI achieving SDGs, complete support participation multistakeholder community developers, governments organizations, communities required. Meanwhile, need AI governance imperative, support federal state governments corporations crucial transition. As AIs footprint grows nations work manage risks, maximize use greater good deepen cooperation governments foster beneficial uses AI. The United States committed supporting accelerating efforts AI development, hoping foster environment AI innovation continue flourish. Secretary Blinken mentioned U.S.s creation blueprint AI Bill Rights Risk Management Framework UNGA, guide future use, design safeguards systems. The US announced 15 million commitment, designated helping governments leverage power AI drive global good, focused specifically SDGs. Commitments contributions countries large corporations, Google, IBM Microsoft. We inflection point, decisions today affect world decades come, especially comes AI climate change. AI potential accelerate progress, immense responsibility taken governments, private sector, civil society individuals consider social, economic environmental aspects sustainability. Lia Mussie senior majoring ecosystem science policy political science minors sustainable business public health. FacebookTwitterPinterestWhatsApp Previous articleAI infiltrates restaurant industryNext articleMiami displayed dominant football nonconference games Lia Mussie The Miami Hurricane ABOUT US The Miami Hurricane student newspaper University Miami Coral Gables, Florida. The newspaper edited produced undergraduate students UM published print Tuesday online everyday academic year. FacebookFacebookInstagramInstagramTwitterTwitter TMH News Sports Arts Entertainment Opinion Vs Take Multimedia
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https://thenelsonpost.ca/news/301092/patient-warming-system-market-research-report-2023-2030-top-companies3m-healthcare-barkey-gmbh-and-co-kg-c-r-bard/
| 2023-05-19T00:00:00 |
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Patient Warming System Market Research Report 2023 – 2030 | Top companies:3M Healthcare, Barkey GmbH and Co. KG, C.R. Bard – thenelsonpost
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Patient Warming System Market Research Report 2023 – 2030 | Top companies:3M Healthcare, Barkey GmbH and Co. KG, C.R. Bard – thenelsonpost
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Patient Warming System Market Research Report 2023 – 2030 | Top companies:3M Healthcare, Barkey GmbH and Co. KG, C.R. Bard
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By Elena
Post date
May 19, 2023
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“
Report Description:
A comprehensive research process that included primary as well as secondary information was used to create the global Patient Warming System market report. To collect qualitative and quantitative information about market trends, drivers, issues, and opportunities, primary research involves interviewing stakeholders, important opinion leaders, and industry experts. To verify the primary research results and provide a comprehensive picture of the market, secondary research entails looking at a variety of sources, such as corporate websites, financial statements, releases from companies, industry newspapers, and government data. An analysis of SWOT is also included in the paper. The company’s advantages, disadvantages, prospects, and challenges are all thoroughly examined in the SWOT analysis.
Get PDF Sample Report + All Related Tables and Graphs at: https://globalmarketvision.com/sample_request/180980
The worldwide Patient Warming System market study’s market value and CAGR give helpful details about the current status and expected future expansion of the sector. Utilizing this data, businesses can spot growth prospects, evaluate possible risks, and create profitable business plans that for recent customer and market trends. By keeping up with the most recent shifts in the Patient Warming System market, firms can position themselves for long-term profitable growth and achievement.
Major Market Players Profiled in the Report include:
3M Healthcare, Barkey GmbH & Co. KG, C.R. Bard, Cincinnati Sub-Zero (CSZ), GE Healthcare, Geratherm Medical, HotDog Warming, Inspiration Healthcare, Medtronic, Smiths Medical, Stryker, ThermoGear, ZOLL Medical
This global Patient Warming System market study is essential for buyers because it offers a thorough analysis of the market, taking into account current trends, growth factors, barriers, and opportunities. The report’s insights into the market’s competitive landscape and major players can be used by buyers to make knowledgeable business decisions and reMail one step ahead of the competition.
The report also offers a thorough analysis of the market’s Mail segments in accordance with type, application, and location to aid clients in identifying profitable investment opportunities. The market trends, drivers, opportunities, and challenges that are most likely to have an impact on the market’s trajectory of development over the course of the forecast period are all fully examined in the report. Buyers can use this knowledge to create practical strategies that help them take advantage of new opportunities and get past challenges.
Patient Warming System Market by Type:
Electromagnetic Heating, Infrared Heating, Resistance Heating
Patient Warming System Market by Application:
Hospital, Clinic, Home
Patient Warming System Market Segment by Region:
North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The study of the global Patient Warming System market provides an exhaustive evaluation of the market’s current trends, drivers, challenges, and opportunities. Apart from that, information is given regarding significant people, their strategies, and the marketplace. The report contains forecasts for the market for the following few years based on historical data and current market circumstances. These facts can aid companies in determining whether they want to engage in the market. Because it offers information on market trends, top companies, and potential chances, the global Patient Warming System analysis is an invaluable tool for anyone trying to better understand this fiercely competitive and rapidly changing industry.
A lot of businesses have seen a decline in demand and income as a result of the COVID-19 pandemic’s significant effect on the global Patient Warming System market. But as a result of the trend toward remote work and study, demand has increased in a number of industrial areas, including e-commerce and online education. Businesses in the market must modify their strategies to take into account shifting consumer demands and preferences in order to reMail competitive and achieve long-term success as the world continues to deal with the epidemic.
Key Questions Addressed in the Report:
What are some of the recent brand building activities of key players undertaken to create customer value in the Patient Warming System market?
Which companies are expanding litany of products with the aim to diversify product portfolio?
Which companies have drifted away from their core competencies and how have those impacted the strategic landscape of the Patient Warming System market?
Which companies have expanded their horizons by engaging in long-term societal considerations?
Which firms have bucked the pandemic trend and what frameworks they adopted to stay resilient?
What are the marketing programs for some of the recent product launches?
Some of the key aspects that the study analyzes and sheds light are:
Which regions are witnessing rise in investments in the supply chain networks?
Which countries seems to have benefitted from recent import and export policies?
Which regions have witnessed decline in consumer demand due to economic and political upheavals?
Which are some the key geographies that are likely to emerge as lucrative markets?
Which regions are expected to lose shares due to pricing pressures?
Which regions leading players are expected to expand their footprints in the near future?
What are some the sustainability trends impacting the logistics and supply chain dynamics in the Patient Warming System market?
What are some of the demographic and economic environments that create new demand in developing economies?
How are changing government regulations shaping business strategies and practices?
Some Points from Table of Content
Global Patient Warming System Market Research Report with Opportunities and Strategies to Boost Growth- COVID-19 Impact and Recovery
Chapter 1 Market Overview
Chapter 2 Market Dynamics
Chapter 3 Associated Industry Assessment
Chapter 4 Market Competitive Landscape
Chapter 5 Analysis of Leading Companies
Chapter 6 Market Analysis and Forecast, By Product Types
Chapter 7 Market Analysis and Forecast, By Applications
Chapter 8 Market Analysis and Forecast, By Regions
Chapter 9 North America Patient Warming System Market Analysis
Chapter 10 Europe Patient Warming System Market Analysis
Chapter 11 Asia-Pacific Patient Warming System Market Analysis
Chapter 12 South America Patient Warming System Market Analysis
Chapter 13 Middle East and Africa Patient Warming System Market Analysis
Chapter 14 Conclusions and Recommendations
Chapter 15 Appendix
Direct Purchase this Market Research Report Now @ https://globalmarketvision.com/checkout/?currency=USD&type=single_user_license&report_id=180980
If you have any special requirements, please let us know and we will offer you the report at a customized price.
The final report will add the analysis of the Impact of Covid-19 in this report Patient Warming System Market.
Adapting to the recent novel COVID-19 pandemic, the impact of the COVID-19 pandemic on the global Patient Warming System Market is included in the present report. The influence of the novel coronavirus pandemic on the growth of the Patient Warming System Market is analyzed and depicted in the report.
About Global Market Vision
Global Market Vision consists of an ambitious team of young, experienced people who focus on the details and provide the information as per customer’s needs. Information is vital in the business world, and we specialize in disseminating it. Our experts not only have in-depth expertise, but can also create a comprehensive report to help you develop your own business.
With our reports, you can make important tactical business decisions with the certainty that they are based on accurate and well-founded information. Our experts can dispel any concerns or doubts about our accuracy and help you differentiate between reliable and less reliable reports, reducing the risk of making decisions. We can make your decision-making process more precise and increase the probability of success of your goals.
Get in Touch with Us
Sarah Ivans | Business Development
Phone: +1 617 297 8902
Email: [email protected]
Global Market Vision
Website: www.globalmarketvision.com
”
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Patient Warming System Market Research Report 2023 2030 Top companies:3M Healthcare, Barkey GmbH Co. KG, C.R. Bard thenelsonpost Skip content thenelsonpostRead World Today Menu for: Close search Close Menu Categories News Patient Warming System Market Research Report 2023 2030 Top companies:3M Healthcare, Barkey GmbH Co. KG, C.R. Bard Post author By Elena Post date May 19, 2023 No Comments Patient Warming System Market Research Report 2023 2030 Top companies:3M Healthcare, Barkey GmbH Co. KG, C.R. Bard Report Description: A comprehensive research process included primary secondary information create global Patient Warming System market report. To collect qualitative quantitative information market trends, drivers, issues, opportunities, primary research involves interviewing stakeholders, important opinion leaders, industry experts. To verify primary research results provide comprehensive picture market, secondary research entails looking variety sources, corporate websites, financial statements, releases companies, industry newspapers, government data. An analysis SWOT included paper. The companys advantages, disadvantages, prospects, challenges thoroughly examined SWOT analysis. Get PDF Sample Report All Related Tables Graphs at: The worldwide Patient Warming System market studys market value CAGR helpful details current status expected future expansion sector. Utilizing data, businesses spot growth prospects, evaluate possible risks, create profitable business plans recent customer market trends. By keeping recent shifts Patient Warming System market, firms position longterm profitable growth achievement. Major Market Players Profiled Report include: 3M Healthcare, Barkey GmbH Co. KG, C.R. Bard, Cincinnati SubZero CSZ, GE Healthcare, Geratherm Medical, HotDog Warming, Inspiration Healthcare, Medtronic, Smiths Medical, Stryker, ThermoGear, ZOLL Medical This global Patient Warming System market study essential buyers offers thorough analysis market, taking account current trends, growth factors, barriers, opportunities. The reports insights markets competitive landscape major players buyers knowledgeable business decisions reMail step ahead competition. The report offers thorough analysis markets Mail segments accordance type, application, location aid clients identifying profitable investment opportunities. The market trends, drivers, opportunities, challenges likely impact markets trajectory development course forecast period fully examined report. Buyers use knowledge create practical strategies help advantage new opportunities past challenges. Patient Warming System Market Type: Electromagnetic Heating, Infrared Heating, Resistance Heating Patient Warming System Market Application: Hospital, Clinic, Home Patient Warming System Market Segment Region: North America United States, Canada Mexico Europe Germany, France, United Kingdom, Russia, Italy, Rest Europe AsiaPacific China, Japan, Korea, India, Southeast Asia, Australia South America Brazil, Argentina, Colombia, Rest South America Middle East Africa Saudi Arabia, UAE, Egypt, South Africa, Rest Middle East Africa The study global Patient Warming System market provides exhaustive evaluation markets current trends, drivers, challenges, opportunities. Apart that, information given significant people, strategies, marketplace. The report contains forecasts market following years based historical data current market circumstances. These facts aid companies determining want engage market. Because offers information market trends, companies, potential chances, global Patient Warming System analysis invaluable tool trying better understand fiercely competitive rapidly changing industry. A lot businesses seen decline demand income result COVID19 pandemics significant effect global Patient Warming System market. But result trend remote work study, demand increased number industrial areas, including ecommerce online education. Businesses market modify strategies account shifting consumer demands preferences order reMail competitive achieve longterm success world continues deal epidemic. Key Questions Addressed Report: What recent brand building activities key players undertaken create customer value Patient Warming System market? Which companies expanding litany products aim diversify product portfolio? Which companies drifted away core competencies impacted strategic landscape Patient Warming System market? Which companies expanded horizons engaging longterm societal considerations? Which firms bucked pandemic trend frameworks adopted stay resilient? What marketing programs recent product launches? Some key aspects study analyzes sheds light are: Which regions witnessing rise investments supply chain networks? Which countries benefitted recent import export policies? Which regions witnessed decline consumer demand economic political upheavals? Which key geographies likely emerge lucrative markets? Which regions expected lose shares pricing pressures? Which regions leading players expected expand footprints near future? What sustainability trends impacting logistics supply chain dynamics Patient Warming System market? What demographic economic environments create new demand developing economies? How changing government regulations shaping business strategies practices? Some Points Table Content Global Patient Warming System Market Research Report Opportunities Strategies Boost Growth COVID19 Impact Recovery Chapter 1 Market Overview Chapter 2 Market Dynamics Chapter 3 Associated Industry Assessment Chapter 4 Market Competitive Landscape Chapter 5 Analysis Leading Companies Chapter 6 Market Analysis Forecast, By Product Types Chapter 7 Market Analysis Forecast, By Applications Chapter 8 Market Analysis Forecast, By Regions Chapter 9 North America Patient Warming System Market Analysis Chapter 10 Europe Patient Warming System Market Analysis Chapter 11 AsiaPacific Patient Warming System Market Analysis Chapter 12 South America Patient Warming System Market Analysis Chapter 13 Middle East Africa Patient Warming System Market Analysis Chapter 14 Conclusions Recommendations Chapter 15 Appendix Direct Purchase Market Research Report Now @ If special requirements, let know offer report customized price. The final report add analysis Impact Covid19 report Patient Warming System Market. Adapting recent novel COVID19 pandemic, impact COVID19 pandemic global Patient Warming System Market included present report. The influence novel coronavirus pandemic growth Patient Warming System Market analyzed depicted report. About Global Market Vision Global Market Vision consists ambitious team young, experienced people focus details provide information customers needs. Information vital business world, specialize disseminating it. Our experts indepth expertise, create comprehensive report help develop business. With reports, important tactical business decisions certainty based accurate wellfounded information. Our experts dispel concerns doubts accuracy help differentiate reliable reliable reports, reducing risk making decisions. We decisionmaking process precise increase probability success goals. Get Touch Us Sarah Ivans Business Development Phone: 1 617 297 8902 Email: [emailprotected] Global Market Vision Website: DrugEluting Balloon Market Key Drivers, Restraints, Opportunities Top companies:Boston Scientific, Medtronic, Cook Medical Electroceutical Market Growth, Business Opportunities till 2030 Top companies:Medtronic, St. Jude Medical, Abbott Leave Reply Cancel replyYour email address published. 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https://thenextweb.com/neural/2021/02/26/a-beginners-guide-to-ai-ethics-in-artificial-intelligence/
| 2021-02-26T00:00:00 |
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A beginner’s guide to AI: Ethics in artificial intelligence
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A beginner’s guide to AI: Ethics in artificial intelligence
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A beginner’s guide to AI: Ethics in artificial intelligence
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Welcome to Neural’s beginner’s guide to AI. This long-running series should provide you with a very basic understanding of what AI is, what it can do, and how it works. In addition to the article you’re currently reading, the guide contains articles on (in order published) neural networks, computer vision, natural language processing, algorithms, artificial general intelligence, the difference between video game AI and real AI, and the difference between human and machine intelligence.
The most obvious solution for a given problem isn’t always the best solution. For example: it’d be much easier for us to dump all of our trash on our neighbors lawn and let them deal with it. But, for a variety of reasons, it’s probably not the optimal solution. At its core, such an action would be unethical because it forces someone else to assume your burdens in addition to their own.
Basically: It’s unethical to pass your garbage along to the next person. And that’s pretty much what we need to focus on when we’re trying to understand ethics in the field of artificial intelligence.
For the purposes of this article, when we discuss the ethics of AI we’re asking two simple questions:
Is it ethical to build an AI for this specific purpose?
Is it ethical to build an AI with these capabilities?
The first question covers the intent of the developer or creator. Since there is no governing body that determines the acceptable ethical strictures we should place on developers, the best we can do as attempt to ascertain the raison d’être for a given AI system.
When Google, for example, tells us it has created an AI that can label images in the wild, we accept its existence as a form of greater good because we assume it was created without malice.
And, thanks to that AI, we can type “puppy” into a search box on our phones and Google will sift through our personal archive of thousands of images and display all the ones with puppies in them.
However, at one point, if you typed “gorilla” into Search and clicked the images tab, it would surface pictures of Black people. And, no matter what the developer’s intent was, they created a system that perpetuated racist stereotypes at a scale unprecedented in human history.
The second question, “is it ethical to build an AI with these capabilities,” refers to the intent of any potential external parties who may be inspired to misuse an AI system or develop their own.
For example, the development of an AI system that analyzes human emotion as evident in facial expression isn’t inherently objectionable. One ethical use of this technology would be the creation of a system that alerts drivers when they appear to be falling asleep behind the wheel.
But if you use it to determine if a job candidate is a good fit for your company, for example, that’s likely to be considered unethical. It’s well-established that AI systems have bias towards white male faces, the systems clearly work better for one group than others.
When it comes to ethical dilemmas, the popular situations people like to talk about are seldom the ones developers and creators actually face. Whether a driverless car will decide to kill an old person or a group of children isn’t as common a problem as whether or not a database concerning humans has enough diversity to to make a system robust enough to be useful.
Unfortunately, every entity in the modern world seems to have its own agenda and its own ethics when it comes to AI. The world’s superpower governments have decided that autonomous killing machines are ethical, the general public has accepted deep fakes, and the proliferation of mass surveillance technology through devices ranging from Ring doorbell cameras to the legal use of facial recognition systems by law enforcement tells us it’s the Wild West for AI, as far as ethics are concerned.
Published February 26, 2021 — 20:30 UTC
Tristan Greene
February 26, 2021 — 20:30 UTC
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A beginner’s guide to AI: Ethics in artificial intelligence
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A beginners guide AI: Ethics artificial intelligence TNW News Latest Hard Fork Plugged Read Me Growth Quarters Shift Neural More TNW News Events TNW2020 Couch Conferences Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs News Events TNW2020 Couch Conferences Business Index Programs AMAs Spaces About Advertise Jobs Latest HardFork Plugged ReadMe Growth Quarters Shift Neural Have cookie TNW uses cookies personalize content ads site easier use. We share information parties advertising analytics. Got More info Calling young digital talent Netherlands Be recognized T500 Humancentric AI news analysis Tech Autonomous car facial recognition Law enforcement A beginners guide AI: Ethics artificial intelligence samzsolti Story Tristan Greene 89 Shares Welcome Neurals beginners guide AI. This longrunning series provide basic understanding AI is, do, works. In addition article youre currently reading, guide contains articles order published neural networks, vision, natural language processing, algorithms, artificial general intelligence, difference video game AI real AI, difference human machine intelligence. The obvious solution given problem isnt best solution. For example: itd easier dump trash neighbors lawn let deal it. But, variety reasons, probably optimal solution. At core, action unethical forces assume burdens addition own. Basically: Its unethical pass garbage person. And thats pretty need focus trying understand ethics field artificial intelligence. For purposes article, discuss ethics AI asking simple questions: Is ethical build AI specific purpose? Is ethical build AI capabilities? The question covers intent developer creator. Since governing body determines acceptable ethical strictures place developers, best attempt ascertain raison dtre given AI system. When Google, example, tells created AI label images wild, accept existence form greater good assume created malice. And, thanks AI, type puppy search box phones Google sift personal archive thousands images display ones puppies them. However, point, typed gorilla clicked images tab, surface pictures Black people. And, matter developers intent was, created perpetuated racist stereotypes scale unprecedented human history. The second question, ethical build AI capabilities, refers intent potential external parties inspired misuse AI develop own. For example, development AI analyzes human emotion evident facial expression isnt inherently objectionable. One ethical use technology creation alerts drivers appear falling asleep wheel. But use determine job candidate good fit company, example, thats likely considered unethical. Its wellestablished AI systems bias white male faces, systems clearly work better group others. When comes ethical dilemmas, popular situations people like talk seldom ones developers creators actually face. Whether driverless car decide kill old person group children isnt common problem database concerning humans diversity robust useful. Unfortunately, entity modern world agenda ethics comes AI. The worlds superpower governments decided autonomous killing machines ethical, general public accepted deep fakes, proliferation mass surveillance technology devices ranging Ring doorbell cameras legal use facial recognition systems law enforcement tells Wild West AI, far ethics concerned. Published February 26, 2021 20:30 UTC Tristan Greene February 26, 2021 20:30 UTC Read Most popular Is environmentally friendly way train AI? The Heart Tech More TNW News Events Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs Stay tuned Thank Weekly Daily Breaking OK 20062021. . Made <3 Amsterdam.
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https://thewest.com.au/news/health/caution-urged-when-using-ai-to-answer-health-questions-c-9985414
| 2023-03-09T00:00:00 |
en
|
Caution urged when using AI to answer health questions | The West Australian
|
Caution urged when using AI to answer health questions | The West Australian
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Caution urged when using AI to answer health questions
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Caution urged AI answer health questions The West Australian Close navigation menuLog InHomer ExclusiveLatestTodays PaperPuzzlesTimespoolWest RewardsUp LateThe West LiveTrading UpNewsReveal sub navigationChevron Down IconCoronavirusWA NewsAustraliaWorldRegionalCrimeCourts JusticeHealthEducationSportReveal sub navigationChevron Down IconLive SportsAFLCricketWest Coast EaglesFremantle DockersWAFLAFLWWAFL ColtsPSA FootyTennisSoccerBasketballRugby UnionNRLHorse RacingGolfMotorsportBusinessReveal sub navigationChevron Down IconMarketsPropertyMiningEnergyHerd On The TerraceYour MoneyAgriculturePublic CompaniesPoliticsReveal sub navigationChevron Down IconFederal PoliticsState PoliticsLocal GovernmentWorld PoliticsRegionalReveal sub navigationChevron Down IconSouth WestGreat SouthernGoldfieldsPeelRockinghamGascoyneMid WestKimberleyPilbaraOpinionReveal sub navigationChevron Down IconEmma GarlettSarahJane TaskerJosh ZimmermanDean AlstonRangi HiriniKate EmeryPaul MurrayMark RileyPeter LawBasil ZempilasJoe SpagnoloLifestyleReveal sub navigationChevron Down IconFoodDrinkHealth WellbeingGardenRetirementFashionMotoringNew HomesReal EstateHouse ThatSTMPLAYEntertainmentReveal sub navigationChevron Down IconCelebrity GossipMoviesTVMusicTheatreBooksArtsCompetitions PuzzlesTravelReveal sub navigationChevron Down IconWestern AustraliaAustraliaAsiaWest Travel ClubPhotographyTravel TipsEuropeTechnologyReveal sub navigationChevron Down IconGadgetsGamingInternetAppsSmartphonesHardwareScienceInnovationTelecommunicationsSecurityMenuThe West AustralianTodays PaperPlace AdThursday, 9 March 2023HealthCaution urged AI answer health questionsTim DorninAAPThu, 9 March 2023 8:24AMPremiumFlinders University researchers cautioned use artificial intelligence programs seek health advice, calling regulators healthcare experts involved developing quality standards.In recent study, university evaluated ability ChatGPT provide responses questions commonly asked patients cancer prevalence, prognosis treatment.Premiumrs digital access view article.Already subscriber? here.Weekend Papers Everyday Digital9 weekAccess digital contentWeekend papers deliveredRegional online newsThe West AppDaily digital edition newspaperr rewardsEveryday Digital7 weekAccess digital contentRegional online newsThe West AppDaily digital edition newspaperr rewardsWeekend papers deliveredSee 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.Learn Weve got newsletter everyone. Get news want delivered inbox.Find MoreFrom siteTips reveal diet alleviate painful endometriosisPremiumNSW paramedics refusing patientsHealth risks shift workers snack attacksPremiumCalls major overhaul fast food advertising rulesRelief family Down syndrome boy facing deportationPremiumTorn apart pain: Bindis secret health battle revealedPremiumTop StoriesThe West Australian exclusiveThe West Australian exclusiveSPECIAL INVESTIGATIONCommentsPremiumThe West Australian exclusiveEXPOSED: Deadly Mexican drug cartel Perth sightFuture fleetCommentsPremiumAUKUS DEAL: Australia buy US nuclearpowered subsSEE INSIDEVideoCommentsPremiumCrypto billionaires Dalkeith mansion breaks price recordOur 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://thezimbabwedaily.com/news/509499-can-artificial-intelligence-replace-emotional-intelligence.html
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Can artificial intelligence replace emotional intelligence? | The Zimbabwe Daily
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Home News Can artificial intelligence replace emotional intelligence?Can artificial intelligence replace emotional intelligence?
15th September 2020guest column:Emmanuel ZvadaIT is clear that the coronavirus pandemic has changed how human resources (HR) personnel think about the use of technology. It is an undeniable fact that the traditional business function is being replaced with artificial intelligence.The rise of artificial intelligence (AI) is one of the defining business opportunities for HR leaders today though the fear is if artificial intelligence (AI) is coming to displace all jobs.If organisations wish to remain competitive in today’s global economy, they must look at ways to incorporate conversational AI for HR transactions in their decision-making process and other practices.What is artificial intelligence?
AI refers to technology used to do a task that requires some level of intelligence to accomplish. In other words, they are tools trained to do what a human can do. AI is different from ordinary softwares because it has high-speed computation, a huge amount of quality data and advanced algorithms.AI technologies offer significant opportunities to improve HR functions, such as self-service transactions, recruiting and talent acquisition, payroll, reporting, access policies and procedures.HR executives have faith that merging AI with their administration functions will benefit and improve the overall employee experience.AI is reinventing HR in a way not seen before by automating the repetitive task of hiring, onboarding, learning, and development, allowing HR teams to focus more on creative and strategic work. AI is being used in HR to automate repetitive, low-value tasks, thus increasing the focus on more strategic work.Many fear that the rise of AI will lead to machines and robots replacing human workers and view this progression in technology as a threat rather than a tool to better ourselves.Let me deal with all the fears and resistance of AI by enlightening all HR practitioners that they are not being replaced, but HR processes, systems and practices are just being reinvented.Why AIAdopting a workplace AI leads to more automatic processing of tasks that a company works through each day. It is crucial to note that the beauty of AI in the workplace is that with its aid, the amount of work that can be done in a day or two by employees, can be done in a matter of hours.This means productivity and efficiency is enhanced. Using AI in the workplace is also easier than many think. AI in the workplace allows a company and its employees to reach maximum efficiency levels, leaving more time for projects and networking.Substitute manual processes with automationAI automates processes eliminating repetitive, manual processes with automation. Think about how much time is wasted on repetitive processes that could be performed with automation.By automating many of the physical and redundant processes performed by your workforce, you can allocate more time, resources and brainpower to larger endeavours like sales strategy and customer satisfaction.Saves timeA chatbot is a service powered by pre-programmed rules that you interact with through a chat interface.Chatbots have actually been around for years, but they have had a recent renaissance with the rise of AI.These easy-to-use tools are incredibly useful in the workplace since they allow for instant communication, ergo faster decision-making.AI chatbots become smarter over time and give better answers to frequently asked questions, freeing up time for management to focus on more strategic tasks.These virtual robots are an effective form of bridging communication gaps between employees and management and make internal information easily accessible.AI improves productivityThe main objective of an organisation is to earn maximum profit by utilising minimum manpower.Through technical improvements and automation software, multiple tasks in the office are achieved effortlessly and the work of the employees become much simpler.The advancement of technology works as an important tool, but at the same time, increases the complexity at the workplace. Not only does AI increase productivity, it also improves overall quality.With any job, human-error is always a factor, whereas AI software is less likely to malfunction.It also enables deeper personalisation by understanding what customers want over time, resulting in better quality products and services.Reduces human biasHumans usually have a bias in most choices or decisions they make. Even when striving for inclusiveness, HR professionals may subconsciously lean towards a particular candidate, for example in recruitment.Now, with AI, algorithms can be designed to help employers identify and remove these biases.That potentially translates to better hiring communication, attracting a more diverse group of candidates.Those same algorithms can also identify candidates who may have been screened out due to human bias.Is AI going to invade our human capabilities?It’s easy to say and conclude that AI could somehow replace humans in the near future — largely due to conventional wisdom.But if you think that way, then you don’t have enough knowledge of how computers work.The automation of tasks through AI technology allows for the freeing of HR professionals to focus on uniquely human abilities such as critical thinking, creativity, and empathy. While they are involved with the more human tasks, technology, in the meantime, can handle the more ordinary tasks.AI cannot replace empathyEven if the array of technologies can offer brilliant solutions, it is difficult for them to mimic empathy. Why?Because at the core of empathy, there is the process of building trust, listening to the other person, paying attention to their needs, expressing the feeling of compassion and responding in a manner that the other person knows they were understood.AI will not replace emotional intelligenceThose that want to stay relevant in their professions will need to focus on skills and capabilities that artificial intelligence has trouble replicating.AI now has the capability to not only gather, analyse, and interpret data, but also to develop an action plan to implement a solution.What can humans do that machines cannot? The answer is simple, understanding, motivating, and interacting with humans and this is where the importance of emotional intelligence (EQ) comes in.Leaders who have the ability to empathise, inspire, and develop meaningful relationships with their people will begin to differentiate themselves in a constantly evolving and uncertain world.Will the future tech actually displace humans and their jobs? That is a NO in block letters because as more and more AI is entering the world, more and more emotional intelligence must follow suit in leadership.Emmanuel Zvada is an award-winning Most Fabulous Global HR Practitioner 2020, HR disrupter and trusted coach. For comments, inbox or call +263771467441Do you have a coronavirus story? You can email us on: [email protected] this:Click to print (Opens in new window)Click to email this to a friend (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on Facebook (Opens in new window)Click to share on Pinterest (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Tumblr (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on Skype (Opens in new window)Like this:Like Loading...Related
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Can artificial intelligence replace emotional intelligence? The Zimbabwe Daily Sign inHomeAdvertisingSubmit story opinionPrivacy Sign WelcomeLog accountyour usernameyour password Forgot password? Password recoveryRecover passwordyour email 17.1 CHarare16th September 2020Sign Join Tel: 263 78 6729125 Email: info International: 1 724 726 1658 Sign inWelcome Log accountyour usernameyour password Forgot password? Get helpPassword recoveryRecover passwordyour email A password emailed you. The Zimbabwe Daily HomeAdvertisingSubmit story opinionPrivacy Home News Can artificial intelligence replace emotional intelligence?Can artificial intelligence replace emotional intelligence? 15th September 2020guest column:Emmanuel ZvadaIT clear coronavirus pandemic changed human resources HR personnel think use technology. It undeniable fact traditional business function replaced artificial intelligence.The rise artificial intelligence AI defining business opportunities HR leaders today fear artificial intelligence AI coming displace jobs.If organisations wish remain competitive todays global economy, look ways incorporate conversational AI HR transactions decisionmaking process practices.What artificial intelligence? AI refers technology task requires level intelligence accomplish. In words, tools trained human do. AI different ordinary softwares highspeed computation, huge quality data advanced algorithms.AI technologies offer significant opportunities improve HR functions, selfservice transactions, recruiting talent acquisition, payroll, reporting, access policies procedures.HR executives faith merging AI administration functions benefit improve overall employee experience.AI reinventing HR way seen automating repetitive task hiring, onboarding, learning, development, allowing HR teams focus creative strategic work. AI HR automate repetitive, lowvalue tasks, increasing focus strategic work.Many fear rise AI lead machines robots replacing human workers view progression technology threat tool better ourselves.Let deal fears resistance AI enlightening HR practitioners replaced, HR processes, systems practices reinvented.Why AIAdopting workplace AI leads automatic processing tasks company works day. It crucial note beauty AI workplace aid, work day employees, matter hours.This means productivity efficiency enhanced. Using AI workplace easier think. AI workplace allows company employees reach maximum efficiency levels, leaving time projects networking.Substitute manual processes automationAI automates processes eliminating repetitive, manual processes automation. Think time wasted repetitive processes performed automation.By automating physical redundant processes performed workforce, allocate time, resources brainpower larger endeavours like sales strategy customer satisfaction.Saves timeA chatbot service powered preprogrammed rules interact chat interface.Chatbots actually years, recent renaissance rise AI.These easytouse tools incredibly useful workplace allow instant communication, ergo faster decisionmaking.AI chatbots smarter time better answers frequently asked questions, freeing time management focus strategic tasks.These virtual robots effective form bridging communication gaps employees management internal information easily accessible.AI improves productivityThe main objective organisation earn maximum profit utilising minimum manpower.Through technical improvements automation software, multiple tasks office achieved effortlessly work employees simpler.The advancement technology works important tool, time, increases complexity workplace. Not AI increase productivity, improves overall quality.With job, humanerror factor, AI software likely malfunction.It enables deeper personalisation understanding customers want time, resulting better quality products services.Reduces human biasHumans usually bias choices decisions make. Even striving inclusiveness, HR professionals subconsciously lean particular candidate, example recruitment.Now, AI, algorithms designed help employers identify remove biases.That potentially translates better hiring communication, attracting diverse group candidates.Those algorithms identify candidates screened human bias.Is AI going invade human capabilities?Its easy conclude AI replace humans near future largely conventional wisdom.But think way, dont knowledge computers work.The automation tasks AI technology allows freeing HR professionals focus uniquely human abilities critical thinking, creativity, empathy. While involved human tasks, technology, meantime, handle ordinary tasks.AI replace empathyEven array technologies offer brilliant solutions, difficult mimic empathy. Why?Because core empathy, process building trust, listening person, paying attention needs, expressing feeling compassion responding manner person knows understood.AI replace emotional intelligenceThose want stay relevant professions need focus skills capabilities artificial intelligence trouble replicating.AI capability gather, analyse, interpret data, develop action plan implement solution.What humans machines cannot? The answer simple, understanding, motivating, interacting humans importance emotional intelligence EQ comes in.Leaders ability empathise, inspire, develop meaningful relationships people begin differentiate constantly evolving uncertain world.Will future tech actually displace humans jobs? That NO block letters AI entering world, emotional intelligence follow suit leadership.Emmanuel Zvada awardwinning Most Fabulous Global HR Practitioner 2020, HR disrupter trusted coach. For comments, inbox 263771467441Do coronavirus story? You email on: news this:Click print Opens new windowClick email friend Opens new windowClick share WhatsApp Opens new windowClick share Twitter Opens new windowClick share Facebook Opens new windowClick share Pinterest Opens new windowClick share Reddit Opens new windowClick share Tumblr Opens new windowClick share Pocket Opens new windowClick share Telegram Opens new windowClick share Skype Opens new windowLike this:Like Loading...Related Facebook Twitter WhatsApp Linkedin ReddIt Email Print RELATED ARTICLESMORE FROM AUTHOR NewsUnderstanding ILO Convention Violence Harassment No. 190 NewsCOVID19 stalled 20 years progress: Latest Goalkeepers report NewsAfrican Leaders Nutrition leaders embed nutrition Covid19 response recovery NewsNew antibody drug joins Oxford University trial Coronavirus treatments NewsCOVID19 seasonal virus NewsStudy Finds Ibuprofen Likely Doesnt Make COVID19 Symptoms WorseRecent Posts Understanding ILO Convention Violence Harassment No. 190 16th September 2020 COVID19 stalled 20 years progress: Latest Goalkeepers report 16th September 2020 African Leaders Nutrition leaders embed nutrition Covid19 response recovery 16th September 2020 New antibody drug joins Oxford University trial Coronavirus treatments 16th September 2020 COVID19 seasonal virus 16th September 2020 Study Finds Ibuprofen Likely Doesnt Make COVID19 Symptoms Worse 16th September 2020 Climateproofed Presidential Input Scheme launched 15th September 2020 Woman scalds husband cooking oil 15th September 2020 Government opens economy 15th September 2020 MDCT recalls Bulawayo councillors 15th September 2020 Parliament engage Ministry Term 2 school fees demand 15th September 2020 Transitional Stabilisation Programme yields macroeconomic stability 15th September 2020 Zimsec extends registration November O ALevel exams 15th September 2020 President salutes parents birthday 15th September 2020 Intercity bus services resume 15th September 2020ABOUT US us: info US HomeAdvertisingSubmit story opinionPrivacy The Zimbabwe Daily Add The Zimbabwe Daily HomescreenAdd Send Email Address Your Name Your Email Address Cancel Post sent check email addresses Email check failed, try Sorry, blog share posts email. bloggers like this: Enable Notifications. 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https://thinkcuriouser.com/uncategorized/408174/ai-in-computer-vision-market-size-analytical-overview-growth-factors-demand-trends-and-forecast-to-2028/
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AI in Computer Vision Market Size, Analytical Overview, Growth Factors, Demand, Trends and Forecast to 2028 – The Think Curiouser
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AI in Computer Vision Market Size, Analytical Overview, Growth Factors, Demand, Trends and Forecast to 2028 – The Think Curiouser
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AI in Computer Vision Market Size, Analytical Overview, Growth Factors, Demand, Trends and Forecast to 2028
Post author
By [email protected]
Post date
October 29, 2020
According to Canadian Radio-Television and Telecommunications Commission (CRTC), the total revenues generated by telecom industry in Canada was USD 38.79 billion in 2017.
CRIFAX added a report on ‘Global AI in Computer Vision Market, 2020-2028’ to its database of market research collaterals consisting of overall market scenario with prevalent and future growth prospects, among other growth strategies used by key players to stay ahead of the game. Additionally, recent trends, mergers and acquisitions, region-wise growth analysis along with challenges that are affecting the growth of the market are also stated in the report.
The increasing number of innovations and advancements in technology globally has provided various business opportunities and is predicted to drive the growth of the market over the forecast period (2019-2028). The introduction of 5G accompanied by other technologies such as digital reality comprising of Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) or the fast growing AI in Computer Vision are setting new trends for the continuously evolving IT & Telecom industry. The total number of cellular IoT connections are anticipated to reach 3.4 billion by 2023. The global AI in Computer Vision Market is estimated to attain noticeable growth over the next 6-7 years, owing to digital transformation taking place across several services such as R&D & Testing, Information Technology (IT), Telecom and Internet. The Information & Communication Technology (ICT) goods exports recorded a growth of 11.51% in 2017 as against 11.20% in 2016. Through 5G connection, about one billion enhanced mobile broadband subscriptions are anticipated to be covered by 2023.
Get Final Sample This Strategic Report will cover the impact analysis of COVID-19 on this industry (Global and Regional Market)@ https://www.crifax.com/sample-request-1000792
The global AI in Computer Vision market is anticipated to observe noteworthy growth in the forthcoming years, owing to increasing investments by ICT and Telecom industries in research and development activities associated with digital transformation. The United States of America is anticipated to remain as the largest telecom market and Asia Pacific is anticipated to attain highest market share in telecom sector. World Development Indicators (WDI) has placed China at the top of the rankings among the various nations according to Purchasing Power Parity (PPP), which holds 19.38% of the world’s GDP as of 2018. According to Canadian Radio-Television and Telecommunications Commission (CRTC), the Canadian telecom industry achieved a growth rate of 3.2% from 2016-2017 generating revenues of USD 38.79 billion in 2017, on account of improvement in data usage through both fixed internet as well as mobile services. Fixed internet services had an average growth rate of 7.0% by attaining revenues of USD 8.87 billion between 2016 and 2017, whereas mobile segment achieved a growth rate of 5.4% to garner revenues of USD 19.9 billion in 2017. All these factors are anticipated to drive the growth of the market over the forecast period.
Analysis Impact of COVID-19 on this industry Request For The Sample Report Here: https://www.crifax.com/sample-request-1000792
To provide better understanding of internal and external marketing factors, the multi-dimensional analytical tools such as SWOT and PESTEL analysis have been implemented in the global AI in Computer Vision market report. Moreover, the report consists of market segmentation, CAGR (Compound Annual Growth Rate), BPS analysis, Y-o-Y growth (%), Porter’s five force model, absolute $ opportunity and anticipated cost structure of the market.
About CRIFAX
CRIFAX is driven by integrity and commitment to its clients and provides cutting-edge marketing research and consulting solutions with a step-by-step guide to accomplish their business prospects. With the help of our industry experts having hands on experience in their respective domains, we make sure that our industry enthusiasts understand all the business aspects relating to their projects, which further improves the consumer base and the size of their organization. We offer wide range of unique marketing research solutions ranging from customized and syndicated research reports to consulting services, out of which, we update our syndicated research reports annually to make sure that they are modified according to the latest and ever-changing technology and industry insights. This has helped us to carve a niche in delivering ‘distinctive business services’ that enhanced our global clients’ trust in our insights and helped us to outpace our competitors as well.
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AI in Computer Vision Market Size, Analytical Overview, Growth Factors, Demand, Trends and Forecast to 2028
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AI Computer Vision Market Size, Analytical Overview, Growth Factors, Demand, Trends Forecast 2028 The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Uncategorized AI Computer Vision Market Size, Analytical Overview, Growth Factors, Demand, Trends Forecast 2028 Post author By [emailprotected] Post date October 29, 2020 According toCanadian RadioTelevision Telecommunications Commission CRTC, total revenues generated telecom industry Canada USD 38.79 billion 2017. CRIFAX added report onGlobal AI Computer Vision Market, 20202028to database market research collaterals consisting overall market scenario prevalent future growth prospects, growth strategies key players stay ahead game. Additionally, recent trends, mergers acquisitions, regionwise growth analysis challenges affecting growth market stated report. The increasing number innovations advancements technology globally provided business opportunities predicted drive growth market forecast period 20192028. The introduction 5G accompanied technologies digital reality comprising Augmented Reality AR, Virtual Reality VR Mixed Reality MR fast growing AI Computer Vision setting new trends continuously evolving IT Telecom industry. The total number cellular IoT connections anticipated reach 3.4 billion 2023. The global AI Computer Vision Marketis estimated attain noticeable growth 67 years, owing digital transformation taking place services RD Testing, Information Technology IT, Telecom Internet. The Information Communication Technology ICT goods exports recorded growth 11.51 2017 11.20 2016. Through 5G connection, billion enhanced mobile broadband subscriptions anticipated covered 2023. Get Final Sample This Strategic Report cover impact analysis COVID19 industry Global Regional Market@ The global AI Computer Vision market anticipated observe noteworthy growth forthcoming years, owing increasing investments ICT Telecom industries research development activities associated digital transformation. The United States America anticipated remain largest telecom market Asia Pacific anticipated attain highest market share telecom sector. World Development Indicators WDI placed China rankings nations according Purchasing Power Parity PPP, holds 19.38 worlds GDP 2018. According Canadian RadioTelevision Telecommunications Commission CRTC, Canadian telecom industry achieved growth rate 3.2 20162017 generating revenues USD 38.79 billion 2017, account improvement data usage fixed internet mobile services. Fixed internet services average growth rate 7.0 attaining revenues USD 8.87 billion 2016 2017, mobile segment achieved growth rate 5.4 garner revenues USD 19.9 billion 2017. All factors anticipated drive growth market forecast period. Analysis Impact COVID19 industry Request For The Sample Report Here: To provide better understanding internal external marketing factors, multidimensional analytical tools SWOT PESTEL analysis implemented global AI Computer Vision market report. Moreover, report consists market segmentation, CAGR Compound Annual Growth Rate, BPS analysis, YoY growth , Porters force model, absolute opportunity anticipated cost structure market. About CRIFAX CRIFAX driven integrity commitment clients provides cuttingedge marketing research consulting solutions stepbystep guide accomplish business prospects. With help industry experts hands experience respective domains, sure industry enthusiasts understand business aspects relating projects, improves consumer base size organization. We offer wide range unique marketing research solutions ranging customized syndicated research reports consulting services, which, update syndicated research reports annually sure modified according latest everchanging technology industry insights. This helped carve niche delivering distinctive business services enhanced global clients trust insights helped outpace competitors well. Us: CRIFAX Email: [emailprotected] U.K. Phone: 44 161 394 2021 U.S. Phone: 1 917 924 8284 More Related Reports: Content Delivery Network Security Market Wireless Access Point Market Mobile Speech Recognition Software Market Mobile Handset Protection Market Electromechanical Timers Market Automated Number Plate Recognition And Detection Sensor Market Spintronics Market Rf Power Amplifier Market Land Mobile Radio System Market Hybrid Cloud Storage Market Dental Thermosealers Market Impressive Demand, Analysis Growth Forecast 20202027 Covid19 Impact Global Capnography Device Market 20202026 Potential growth, attractive valuation longterm investment Top Players: Smiths Medical, Dragerwerk AG Co. KGaA, Welch Allyn, Masimo, Koninklijke Philips N.V., etc. InForGrowth Space Energy News Finance for: Recent Posts Ad Management Software Market Is Booming Worldwide Adzerk, Google, Marin Body Shaper Market Research including Growth Factors, Types Application regions 2026 20202026 Goat Meat Market Size By Regional Industry Growth, Statistics Forecast Butter Market 2027 InDepth Coverage And Various Important Aspects Smart Agriculture Solution Market Growth Fuelled Advancements Technology 20192029 Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Energy Finance News Space Uncategorized Meta Log Entries feed Comments feed 2020 The Think Curiouser Powered WordPress To Up
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https://timesofindia.indiatimes.com/business/startups/people/ai-and-the-future-of-work/articleshow/100864261.cms
| 2023-06-09T00:00:00 |
en
|
Artificial intelligence and the future of work - Times of India
|
Artificial intelligence and the future of work - Times of IndiaEditionININUSSign InTOIBusinessStartupsIndia BusinessInternational BusinessCryptocurrencyFinancial CalculatorsBudget 2023MarketsWealthSensexPhotosVideosFAQsWeb StoriesCompaniesPeopleGlobalTrend TrackingNewsBusiness NewsStartups NewsArtificial intelligence and the future of workTrendingRBI Repo RateAdani GroupBSNL Revival PackageITR FilingBank Holidays in JuneNew Income tax slabs 2023-24Income tax calculatorRBI Repo RateAdani GroupBSNL Revival PackageITR FilingBank Holidays in JuneNew Income tax slabs 2023-24Income tax calculatorRBI Repo RateAdani GroupBSNL Revival PackageITR FilingBank Holidays in JuneNew Income tax slabs 2023-24Income tax calculatorArtificial intelligence and the future of workArnab Bhattacharya / Jun 9, 2023, 09:13 ISTShareAA+Text SizeSmallMediumLargeYou're readingArtificial intelligence and the future of workSamsung Family Hub Side By Side Refrigerator: It’s more than a fridge, it adds a touch of class to your living spaceCapability building in Indian ITLeadership takes willpower, but also brings great learningArtificial intelligence (AI) has pervaded almost every field of innovation and development, starting from driverless cars to recommendation of products online to personalised healthcare and natural language conversations. Sensors and internet-of-things (IoT) are delving into our lives more rapidly than we realise. Governments, financial institutions and big industries are relying on cyber-physical systems for their day-to-day activities. The question, however, is how long before the institutions become too dependent on it?Given the tremendous progress of AI in speech and language processing, computer vision, etc, it is conceivable that in the near future, almost any task that is “measurable’’ will be taken over b y AI. The increasing success of AI in super-skilled application scenarios such as in medical and legal domains clearly reinforce this trend. Even in tasks that are considered to be purely based on human creativity, such as writing poetry, painting, and composing music, success of AI is impressive and worrying to many who practise it. What then will be left for humans in the future? The answer probably lies in the way current AI models are designed. At their heart, they are mathematical tools, albeit too complex for humans to explain. This, therefore, leads to the conclusion that anything that can be “measured’’ in terms of numbers can be solved by AI models. Thus, humans may not be required for these so-called “left-brain’’ functions. This disruption calls for a massive re-skilling of the human population. Humans should focus on developing and utilising right-brain skills, such as critical thinking, creativity, emotional intelligence, and empathy. These skills are difficult for AI to replicate and will become increasingly valuable in the future of work. We should focus on developing skills that complement AI technology, such as data analysis and programming, as well as skills that involve human interaction, such as customer service and healthcare. Ultimately, humans need to be flexible, adaptable, and have a zeal to continuously learn to thrive in a world with AI technology.Instead of worrying about jobs being taken over by AI, we should focus on the tasks that AI will be fulfilling. We’ve already been using AI features like auto-correct and auto-complete. AI will take care of grunt work and save time. We need to learn how to use AI effectively and diversify our work requirements.AI may open up newer avenues or scopes of learning and employment. Rather than fearing the changes brought by AI, students and young engineers should embrace the opportunities it presents.As AI is taking over the academic sphere as well, we might probably have to wait for a decisive overhaul of education. Educational institutions would need to incorporate AI into the curriculum like other mandatory subjects, provide opportunities for students to work on AI-related projects, and develop programmes that teach skills that are difficult for AI to replicate, such as creativity and emotional intelligence. In addition, educational institutions need to focus on developing lifelong learning skills and promote a culture of continuous learning, as the skills required in the workforce will continue to evolve and change as AI technology advances.The youth of today stand at the threshold of several unprecedented challenges both in terms of technology as well as societal and ethical values that are set to disrupt the world order. Summits like the Y20 Summit by the Union ministry of youth affairs and sports can be some pertinent platforms to involve the youth in these crucial discussions and collectively seek ideas and recommendations for the future of work.Arnab Bhattacharya is professor in the department of computer science and engineering at Indian Institute of Technology (IIT), Kanpur Start a ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories PreviousThese Are 10 Most Costliest Dog Breeds in the Worldbusiness10 Things Warren Buffett Does Differently Than Other InvestorsbusinessFeatures of Rural Housing Interest Subsidy Schemebusiness10 Ways to Make Money Online Through Social MediabusinessLenskart Net Worth: Know How Big Is the Unicorn Companybusiness10 Quotes From Warren Buffett’s Mentor, Benjamin GrahambusinessTop 10 Cryptocurrencies to Invest in for High ReturnsbusinessCrypto Coin Crypto Token Know the DifferencebusinessHow to Choose the Right Cryptocurrency to Invest InbusinessThis Job Has 45000 Vacancies in India and Freshers Can Earn Rs 14 Lakh a Yearbusiness Next123ElectionsMadhya Pradesh ElectionsRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSCyclone BiporjoyDonald TrumpIND vs AUS WTC FinalCHSE Odisha Arts Result 2023Rishabh PantCoromandel Express AccidentTrending StoriesIn BusinessEntire WebsiteRs 2,000 notes worth Rs 1.80 lakh crore have come back in banks so far: RBIRBI announces monetary policy, keeps repo rate unchanged at 6.5%Adani’s debt metrics show improvement: CreditSightsRBI likely to hold repo rate this week as inflation dipsIndiGo to start 174 new international flights by September; Nairobi, Jakarta, Baku, Tashkent among themMyntra EORS: Top features for easy shoppingYour guide to redeem Myntra Super CoinsCheck how IIM Calcutta’s EPGM is making wavesElon Musk again world’s richest person as Arnault’s LVMH sinksIndia's GDP grows by 7.2% in FY23: Govt dataIndia stood up to China’s LAC adventurism, ‘delegitimised’ Pak terror: JaishankarMumbai ‘killer’ chopped partner’s body, pressure-cookedIndia must choose: Bullet train first or safety first?Google Doodle celebrates iconic dancer Willi Ninja's birthdayHow to get a loan against jewellery at homeCyclone Biparjoy live: Very severe storm to intensify furtherWhy the land of 'kisani and pehlwani' angry with the govt100 m plus in India now diabetic, up 44% in 4 yrs: ICMR10 new iOS 17 features that Apple didn’t talk about in WWDC keynoteOdisha school used as morgue spooks kids; raze it, say parentsother 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 WebWeigh LossAyurveda FoodMurmura RecipesMangoes BenefitsMonsoon Vacation IdeasWhite Rice BenefitsSlowest Countries In WorldSouth Indian DishesRajeev SenAnasuyaTop TrendsCyclone BiporjoyDonald TrumpIND vs AUS WTC FinalCHSE Odisha Arts Result 2023Rishabh PantCoromandel Express AccidentMumbai Murder CaseCyclone Biparjoy MumbaiBrij Bhushan SinghAir India Flight in RussiaOdisha train accidentWTC Final 2023Gitanjali AiyarS JaishankarWrestlers Protest NewsFrench OpenNIRF Ranking 2023World Test Championship FinalTrending TopicsDivya AgarwalKamya PanjabiSamyukthaViral NewsPrabhasPooja HegdeBreakfast BowlsAdipurushVarun TejFriends Day WishesRakshita ReddyZara Hatke Zara BachkeSoy Cutlets RecipesTamannaah BhatiaEsha GuptaDharsha GuptaVivo 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
|
Artificial intelligence and the future of work
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Artificial intelligence future work Times IndiaEditionININUSTOIBusinessStartupsIndia BusinessInternational BusinessCryptocurrencyFinancial CalculatorsBudget 2023MarketsWealthSensexPhotosVideosFAQsWeb StoriesCompaniesPeopleGlobalTrend TrackingNewsBusiness NewsStartups NewsArtificial intelligence future workTrendingRBI Repo RateAdani GroupBSNL Revival PackageITR FilingBank Holidays JuneNew ome tax slabs 202324ome tax calculatorRBI Repo RateAdani GroupBSNL Revival PackageITR FilingBank Holidays JuneNew ome tax slabs 202324ome tax calculatorRBI Repo RateAdani GroupBSNL Revival PackageITR FilingBank Holidays JuneNew ome tax slabs 202324ome tax calculatorArtificial intelligence future workArnab Bhattacharya Jun 9, 2023, 09:13 ISTShareAAText SizeSmallMediumLargeYoure readingArtificial intelligence future workSamsung Family Hub Side By Side Refrigerator: Its fridge, adds touch class living spaceCapability building Indian ITLeadership takes willpower, brings great learningArtificial intelligence AI pervaded field innovation development, starting driverless cars recommendation products online personalised healthcare natural language conversations. Sensors internetofthings IoT delving lives rapidly realise. Governments, financial institutions big industries relying cyberphysical systems daytoday activities. The question, however, long institutions dependent it?Given tremendous progress AI speech language processing, vision, etc, conceivable near future, task measurable taken b AI. The increasing success AI superskilled application scenarios medical legal domains clearly reinforce trend. Even tasks considered purely based human creativity, writing poetry, painting, composing music, success AI impressive worrying practise it. What left humans future? The answer probably lies way current AI models designed. At heart, mathematical tools, albeit complex humans explain. This, therefore, leads conclusion measured terms numbers solved AI models. Thus, humans required socalled leftbrain functions. This disruption calls massive reskilling human population. Humans focus developing utilising rightbrain skills, critical thinking, creativity, emotional intelligence, empathy. These skills difficult AI replicate increasingly valuable future work. We focus developing skills complement AI technology, data analysis programming, skills involve human interaction, customer service healthcare. Ultimately, humans need flexible, adaptable, zeal continuously learn thrive world AI technology.Instead worrying jobs taken AI, focus tasks AI fulfilling. Weve AI features like autocorrect autocomplete. AI care grunt work save time. We need learn use AI effectively diversify work requirements.AI open newer avenues scopes learning employment. Rather fearing changes brought AI, students young engineers embrace opportunities presents.As AI taking academic sphere well, probably wait decisive overhaul education. Educational institutions need incorporate AI curriculum like mandatory subjects, provide opportunities students work AIrelated projects, develop programmes teach skills difficult AI replicate, creativity emotional intelligence. In addition, educational institutions need focus developing lifelong learning skills promote culture continuous learning, skills required workforce continue evolve change AI technology advances.The youth today stand threshold unprecedented challenges terms technology societal ethical values set disrupt world order. Summits like Y20 Summit Union ministry youth affairs sports pertinent platforms involve youth crucial discussions collectively seek ideas recommendations future work.Arnab Bhattacharya professor department science engineering Indian Institute Technology IIT, Kanpur Start ConversationFOLLOW US ON SOCIAL MEDIAFacebookTwitterInstagramKOO APPYOUTUBE Visual Stories PreviousThese Are 10 Most Costliest Dog Breeds Worldbusiness10 Things Warren Buffett Does Differently Than Other InvestorsbusinessFeatures Rural Housing Interest Subsidy Schemebusiness10 Ways Make Money Online Through Social MediabusinessLenskart Net Worth: Know How Big Is Unicorn Companybusiness10 Quotes From Warren Buffetts Mentor, Benjamin GrahambusinessTop 10 Cryptocurrencies Invest High ReturnsbusinessCrypto Coin Crypto Token Know DifferencebusinessHow Choose Right Cryptocurrency Invest InbusinessThis Job Has 45000 Vacancies India Freshers Can Earn Rs 14 Lakh Yearbusiness Next123ElectionsMadhya Pradesh ElectionsRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSCyclone BiporjoyDonald TrumpIND vs AUS WTC FinalCHSE Odisha Arts Result 2023Rishabh PantCoromandel Express AccidentTrending StoriesIn BusinessEntire WebsiteRs 2,000 notes worth Rs 1.80 lakh crore come banks far: RBIRBI announces monetary policy, keeps repo rate unchanged 6.5Adanis debt metrics improvement: CreditSightsRBI likely hold repo rate week inflation dipsIndiGo start 174 new international flights September; Nairobi, Jakarta, Baku, Tashkent themMyntra EORS: Top features easy shoppingYour guide redeem Myntra Super CoinsCheck IIM Calcuttas EPGM making wavesElon Musk worlds richest person Arnaults LVMH sinksIndias GDP grows 7.2 FY23: Govt dataIndia stood Chinas LAC adventurism, delegitimised Pak terror: JaishankarMumbai killer chopped partners body, pressurecookedIndia choose: Bullet train safety first?Google Doodle celebrates iconic dancer Willi Ninjas birthdayHow loan jewellery homeCyclone Biparjoy live: Very severe storm intensify furtherWhy land kisani pehlwani angry govt100 plus India diabetic, 44 4 yrs: ICMR10 new iOS 17 features Apple didnt talk WWDC keynoteOdisha school morgue spooks kids; raze it, parentsother 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 WebWeigh LossAyurveda FoodMurmura RecipesMangoes BenefitsMonsoon Vacation IdeasWhite Rice BenefitsSlowest Countries In WorldSouth Indian DishesRajeev SenAnasuyaTop TrendsCyclone BiporjoyDonald TrumpIND vs AUS WTC FinalCHSE Odisha Arts Result 2023Rishabh PantCoromandel Express AccidentMumbai Murder CaseCyclone Biparjoy MumbaiBrij Bhushan SinghAir India Flight RussiaOdisha train accidentWTC Final 2023Gitanjali AiyarS JaishankarWrestlers Protest NewsFrench OpenNIRF Ranking 2023World Test Championship FinalTrending TopicsDivya AgarwalKamya PanjabiSamyukthaViral NewsPrabhasPooja HegdeBreakfast BowlsAdipurushVarun TejFriends Day WishesRakshita ReddyZara Hatke Zara BachkeSoy Cutlets RecipesTamannaah BhatiaEsha GuptaDharsha GuptaVivo 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
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https://timesofindia.indiatimes.com/city/bengaluru/data-engr-tries-to-open-planes-emergency-door-midair-held-at-kia/articleshow/102027018.cms
| 2023-07-22T00:00:00 |
en
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Kia: Data engineer tries to open plane's emergency door midair, held at Bengaluru airport | Bengaluru News - Times of India
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Kia: Data engineer tries to open plane's emergency door midair, held at Bengaluru airport | Bengaluru News - Times of IndiaEditionININUSSign InTOICitybengalurumumbaidelhiHyderabadkolkatachennaiagraagartalaahmedabadajmerallahabadamaravatiamritsaraurangabadbareillybhubaneswarbhopalchandigarhcoimbatorecuttackdehradunerodefaridabadghaziabadgoagurgaonguwahatihubballiimphalindoreitanagarjaipurjammujamshedpurjodhpurkanpurkochikohimakolhapurkozhikodeludhianalucknowmaduraimangalurumeerutmumbai regionmysurunagpurnashiknavi mumbainoidapatnapuducherrypuneraipurrajkotranchithanesalemshillongshimlasrinagarsurattrichythiruvananthapuramudaipurvadodaravaranasivijayawadavisakhapatnamphotosWeb Storiescrimecivic issuespoliticsschool and collegescitizen reportervideosphotosweatherKarnataka electionsNewsCity Newsbengaluru NewsData engineer tries to open plane's emergency door midair, held at Bengaluru airportTrendingManipur Woman Paraded VideoJaipur EarthquakeMaharashtra WeatherManipur Viral VideoGyanvapi Mosque CaseMamata BanerjeeManipur Woman Paraded VideoJaipur EarthquakeMaharashtra WeatherManipur Viral VideoGyanvapi Mosque CaseMamata BanerjeeManipur Woman Paraded VideoJaipur EarthquakeMaharashtra WeatherManipur Viral VideoGyanvapi Mosque CaseMamata BanerjeeData engineer tries to open plane's emergency door midair, held at Bengaluru airportTNN / Updated: Jul 22, 2023, 07:03 ISTShareAA+Text SizeSmallMediumLargeFollow us You're readingData engineer tries to open plane's emergency door midair, held at Bengaluru airportHow a Global MBA from The University of Western Australia (UWA) can give your tech career a boost! Gain a competitive edge and transition into leadership positions in the tech industryNandini milk, curd set to get dearer in Karnataka by Rs 3/litre from August 1Justice B Veerappa Commission to probe PSI job scam in Karnataka Kempegowda International Airport (KIA)BENGALURU: A 29-year-old data engineer was arrested for allegedly trying to open the emergency door of an aircraft on a Paris-Bengaluru flight in the wee hours of July 16. Accused Venkat Mohit Pathipati from Rajahmundry in Andhra Pradesh works as a data engineer in a US grocery company and was flying to Bengaluru to visit his aunt living in Nagawara, off Ballari Road.A staffer from Air France filed a complaint with Kempegowda International Airport (KIA) police that Pathipati tried to open the left rear emergency door. Cops registered a First Information Report (FIR) against Pathipati under Aircraft Rules-1937 and IPC 336 (Act endangering life or personal safety of others). He was released on police station bail.Asked what prompted him to try to open the emergency door, Mohit told cops. "I was just checking the arming and disarming functions of the door." tnnAccording to sources, Mohit's act sent other passengers into a tizzy. Soon after landing at KIA, the crew passed on the information to cops, requesting them to detain Mohit. After filing the complaint and registering the FIR, he was arrested.Mohit told police he has done his masters in business analytics and information system from an international university and then joined the American company.In May, a passenger on an Asiana Airlines flight had tried to open the emergency door as the aircraft was preparing to land at Daegu International Airport in South Korea.The man told police he had been under stress after losing his job and that he opened the door because he wanted to get off quickly as he was feeling suffocated. At least nine passengers were shifted to hospital after they developed breathing issues soon after the incident.FOLLOW US ON SOCIAL MEDIA Visual Stories Previous9 vegetables that have a similar taste profile of potatoes, and are healthier too!FoodAmerica’s best nightlife citiestravelMadhuri Dixit shares her favourite salad recipe and it is all things healthyFoodFirst in 45 years: Yamuna flood waters touch walls of Taj Mahalindia10 baby names inspired by Indian folkloreindia12 railway stations famous for the best local foods in IndiaFood10 Curries that don't need tomatoesFoodThis August, explore these pretty places in South Indiatravel10 easy exercises to lose belly fatindiaHow to make no-oil spiced roasted Chickpeas namkeenFood Next123ElectionsMadhya Pradesh ElectionsRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSManipur Woman Paraded VideoEarthquake in JaipurIndia vs West Indies Live ScoreManipur Viral VideoVirat KohliIND vs WI HighlightsTrending StoriesIn CityEntire WebsiteManipur Violence News Live Updates: Four held for parading women naked; Congress, AAP MPs demand discussion in Lok SabhaLive: 4 dead, many feared trapped in landslide in Raigad, rescue op under wayThree back-to-back earthquakes jolt Jaipur in 30 minutes2 months after FIR, a day after video surfaces, 4 held for Manipur horrorSC sends ordinance plea to five Judge bench, refuses stayMastering Design & UX: An innovative IIT courseUWA Global MBA ProgramJaison John on soy's potential as an alternate protein140 crore Indians shamed by heinous incident: PM Modi16 killed, 100 missing as landslide buries hamlet in MaharashtraOn day of Manipur mob horror, 2 gang-raped, killed 40km awayConduct survey of Gyanvapi complex: Local court to ASIMeet India’s tomato millionaires, and some thievesWatch: Native Manipuri protesters demand Biren Singh's resignation2nd Test: Windies fight back after Kohli century in India's 438Ensure life of dignity for Tamils: PM Modi to Sri Lanka PresidentHow Sariska got back tigers it lost to poachersNCW told about stripping horror via mails June 129 not-to-miss tips to get better cooling from your ACsForex reserves cross $600 billion, a 15-month highAbout 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 WebVitamin B 12 FoodBlood SugarGhee BenefitsLocal FoodTomatoes BenefitsKetika SharmaKareena KapoorBest Places In South IndiaBelly FatBlood SugarTop TrendsManipur Woman Paraded VideoEarthquake in JaipurIndia vs West Indies Live ScoreManipur Viral VideoVirat KohliIND vs WI HighlightsMumbai Rain NewsEngland vs AustraliaRahul Gandhi Defamation CaseIndia A vs Pakistan A FinalParliament Monsoon Session 2023Gyanvapi Mosque CaseMamata BanerjeeAyodhya Ram MandirMaharashtra LandslideITR FilingKerala Plus Two Say Exam ResultIndia vs West Indies 2023Trending TopicsPotatoes BenefitsTrial Period ReviewMouni RoyKeerthy SureshBollywood FilmsBawaal ReviewMasoor DalRelationships TipsTollywood DivasSakshi AgarwalParenting TipsSana SayyadAmeen MadathilHealthy Dinner RecipeArjun RampalBarbie Movie ReviewVivo 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
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Kia: Data engineer tries to open plane's emergency door midair, held at Bengaluru airport
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Kia: Data engineer tries open planes emergency door midair, held Bengaluru airport Bengaluru News Times IndiaEditionININUSTOICitybengalurumumbaidelhiHyderabadkolkatachennaiagraagartalaahmedabadajmerallahabadamaravatiamritsaraurangabadbareillybhubaneswarbhopalchandigarhcoimbatorecuttackdehradunerodefaridabadghaziabadgoagurgaonguwahatihubballiimphalindoreitanagarjaipurjammujamshedpurjodhpurkanpurkochikohimakolhapurkozhikodeludhianalucknowmaduraimangalurumeerutmumbai regionmysurunagpurnashiknavi mumbainoidapatnapuducherrypuneraipurrajkotranchithanesalemshillongshimlasrinagarsurattrichythiruvananthapuramudaipurvadodaravaranasivijayawadavisakhapatnamphotosWeb Storiescrimecivic issuespoliticsschool collegescitizen reportervideosphotosweatherKarnataka electionsNewsCity Newsbengaluru NewsData engineer tries open planes emergency door midair, held Bengaluru airportTrendingManipur Woman Paraded VideoJaipur EarthquakeMaharashtra WeatherManipur Viral VideoGyanvapi Mosque CaseMamata BanerjeeManipur Woman Paraded VideoJaipur EarthquakeMaharashtra WeatherManipur Viral VideoGyanvapi Mosque CaseMamata BanerjeeManipur Woman Paraded VideoJaipur EarthquakeMaharashtra WeatherManipur Viral VideoGyanvapi Mosque CaseMamata BanerjeeData engineer tries open planes emergency door midair, held Bengaluru airportTNN Updated: Jul 22, 2023, 07:03 ISTShareAAText SizeSmallMediumLargeFollow Youre readingData engineer tries open planes emergency door midair, held Bengaluru airportHow Global MBA The University Western Australia UWA tech career boost Gain competitive edge transition leadership positions tech industryNandini milk, curd set dearer Karnataka Rs 3litre August 1Justice B Veerappa Commission probe PSI job scam Karnataka Kempegowda International Airport KIABENGALURU: A 29yearold data engineer arrested allegedly trying open emergency door aircraft ParisBengaluru flight wee hours July 16. Accused Venkat Mohit Pathipati Rajahmundry Andhra Pradesh works data engineer US grocery company flying Bengaluru visit aunt living Nagawara, Ballari Road.A staffer Air France filed complaint Kempegowda International Airport KIA police Pathipati tried open left rear emergency door. Cops registered First Information Report FIR Pathipati Aircraft Rules1937 IPC 336 Act endangering life personal safety others. He released police station bail.Asked prompted try open emergency door, Mohit told cops. I checking arming disarming functions door. tnnAccording sources, Mohits act sent passengers tizzy. Soon landing KIA, crew passed information cops, requesting detain Mohit. After filing complaint registering FIR, arrested.Mohit told police masters business analytics information international university joined American company.In May, passenger Asiana Airlines flight tried open emergency door aircraft preparing land Daegu International Airport South Korea.The man told police stress losing job opened door wanted quickly feeling suffocated. At passengers shifted hospital developed breathing issues soon incident.FOLLOW US ON SOCIAL MEDIA Visual Stories Previous9 vegetables similar taste profile potatoes, healthier tooFoodAmericas best nightlife citiestravelMadhuri Dixit shares favourite salad recipe things healthyFoodFirst 45 years: Yamuna flood waters touch walls Taj Mahalindia10 baby names inspired Indian folkloreindia12 railway stations famous best local foods IndiaFood10 Curries dont need tomatoesFoodThis August, explore pretty places South Indiatravel10 easy exercises lose belly fatindiaHow nooil spiced roasted Chickpeas namkeenFood Next123ElectionsMadhya Pradesh ElectionsRajasthan Elections 2023Chhattisgarh ElectionsTelangana Election 2023Mizoram ElectionsAssembly Election 2023TOP TRENDSManipur Woman Paraded VideoEarthquake JaipurIndia vs West Indies Live ScoreManipur Viral VideoVirat KohliIND vs WI HighlightsTrending StoriesIn CityEntire WebsiteManipur Violence News Live Updates: Four held parading women naked; Congress, AAP MPs demand discussion Lok SabhaLive: 4 dead, feared trapped landslide Raigad, rescue op wayThree backtoback earthquakes jolt Jaipur 30 minutes2 months FIR, day video surfaces, 4 held Manipur horrorSC sends ordinance plea Judge bench, refuses stayMastering Design UX: An innovative IIT courseUWA Global MBA ProgramJaison John soys potential alternate protein140 crore Indians shamed heinous incident: PM Modi16 killed, 100 missing landslide buries hamlet MaharashtraOn day Manipur mob horror, 2 gangraped, killed 40km awayConduct survey Gyanvapi complex: Local court ASIMeet Indias tomato millionaires, thievesWatch: Native Manipuri protesters demand Biren Singhs resignation2nd Test: Windies fight Kohli century Indias 438Ensure life dignity Tamils: PM Modi Sri Lanka PresidentHow Sariska got tigers lost poachersNCW told stripping horror mails June 129 nottomiss tips better cooling ACsForex reserves cross 600 billion, 15month highAbout 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 WebVitamin B 12 FoodBlood SugarGhee BenefitsLocal FoodTomatoes BenefitsKetika SharmaKareena KapoorBest Places In South IndiaBelly FatBlood SugarTop TrendsManipur Woman Paraded VideoEarthquake JaipurIndia vs West Indies Live ScoreManipur Viral VideoVirat KohliIND vs WI HighlightsMumbai Rain NewsEngland vs AustraliaRahul Gandhi Defamation CaseIndia A vs Pakistan A FinalParliament Monsoon Session 2023Gyanvapi Mosque CaseMamata BanerjeeAyodhya Ram MandirMaharashtra LandslideITR FilingKerala Plus Two Say Exam ResultIndia vs West Indies 2023Trending TopicsPotatoes BenefitsTrial Period ReviewMouni RoyKeerthy SureshBollywood FilmsBawaal ReviewMasoor DalRelationships TipsTollywood DivasSakshi AgarwalParenting TipsSana SayyadAmeen MadathilHealthy Dinner RecipeArjun RampalBarbie Movie ReviewVivo 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
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https://timesofindia.indiatimes.com/gadgets-news/google-bard-early-access-things-to-know/photostory/98922029.cms
| 2023-03-22T00:00:00 |
en
|
Google Bard early access: Things to know | Times of India
|
Google Bard early access: Things to know | Times of IndiaGoogle Bard early access: Things to knowMar 22, 2023By: Priye RaiBard early accessGoogle has opened the early access to Bard for a limited number of users on ‘bard.google.com’. Those who are interested can join the waitlist via its website.AgenciesAvailabilityAs of now, the early access is only available to users in the US and the UK. The company has said that people in more countries will get access “over time.”AgenciesPixel users getting inviteBefore opening the chatbot for early access, Google sent invites to some Pixel users for testing Bard.AgenciesBard use casesFrom finding answers to brainstorming ideas, Bard can be employed for a variety of tasks. For instance, users can ask Bard to prepare a certain type of diet plan for them or to explain scientific theories.AgenciesBard provides draft optionsUsers trying out Bard will have the option of viewing different drafts produced by the chatbot based on their prompt. They can select their preferred draft to get suitable answers.AgenciesBard’s capabilities expansionAs per Google, the AI chatbot will ‘improve’ with features such as support for more languages and coding in the future.AgenciesBard technologyBard relies on a large language model (LLM) to produce answers. Google describes the model as a “lightweight and optimised” LaMDA. The tech giant has revealed that its chatbot may move to “newer, more capable models over time.”AgenciesBard may make mistakesHighlighting that work on the chatbot is underway, Google said, “Bard is an experiment and may give inaccurate or inappropriate responses. You can help make Bard better by leaving feedback.”AgenciesBard’s answers may have biasesSince Bard’s language model sources data from a wide variety of resources, bias may creep into the chatbot’s answers at times.AgenciesThanks For Reading!Next: Adobe Firefly creative generative AI: Things to knowFind out More
|
Google Bard early access: Things to know
|
Google Bard early access: Things know Times IndiaGoogle Bard early access: Things knowMar 22, 2023By: Priye RaiBard early accessGoogle opened early access Bard limited number users bard.. Those interested join waitlist website.AgenciesAvailabilityAs now, early access available users US UK. The company said people countries access time.AgenciesPixel users getting inviteBefore opening chatbot early access, Google sent invites Pixel users testing Bard.AgenciesBard use casesFrom finding answers brainstorming ideas, Bard employed variety tasks. For instance, users ask Bard prepare certain type diet plan explain scientific theories.AgenciesBard provides draft optionsUsers trying Bard option viewing different drafts produced chatbot based prompt. They select preferred draft suitable answers.AgenciesBards capabilities expansionAs Google, AI chatbot improve features support languages coding future.AgenciesBard technologyBard relies large language model LLM produce answers. Google describes model lightweight optimised LaMDA. The tech giant revealed chatbot newer, capable models time.AgenciesBard mistakesHighlighting work chatbot underway, Google said, Bard experiment inaccurate inappropriate responses. You help Bard better leaving feedback.AgenciesBards answers biasesSince Bards language model sources data wide variety resources, bias creep chatbots answers times.AgenciesThanks For ReadingNext: Adobe Firefly creative generative AI: Things knowFind More
| 2,023 |
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https://timesofindia.indiatimes.com/gadgets-news/how-popular-companies-use-chatgpt-for-enhanced-services/photostory/100830414.cms
| 2023-06-08T00:00:00 |
en
|
How popular companies use ChatGPT for enhanced services | Times of India
|
How popular companies use ChatGPT for enhanced services | Times of IndiaHow popular companies use ChatGPT for enhanced servicesJun 8, 2023By: Kiran SinghMicrosoft Microsoft has embraced ChatGPT's potential by integrating it into Bing search. Users enjoy conversational search results, and Microsoft plans to extend ChatGPT to popular software services like Word and Excel.TIMESOFINDIA.COMDuolingoDuolingo with GPT-4 has introduced exciting features. Duolingo Max provides in-depth explanations for answers, mimicking human tutors. Students can practise language skills with AI personas, creating immersive learning experiences.TIMESOFINDIA.COMExpediaExpedia has integrated ChatGPT-powered AI assistance to simplify travel planning. Customers chat with a knowledgeable agent, receive personalised recommendations, and access smart lists of hotels and attractions.TIMESOFINDIA.COMCoca ColaBy using ChatGPT and Dall-E, Coca Cola enhances customer engagement and brand connections through personalised ad copy, images, and messaging.TIMESOFINDIA.COMSnap IncThe creator of Snapchat has integrated conversational AI into their platform with the bot My AI.TIMESOFINDIA.COMSlackSlack has introduced a ChatGPT-powered app to enhance collaboration. With a virtual assistant available 24/7, users can streamline workflows, boost productivity, and improve communication by asking questions and receiving project suggestions.TIMESOFINDIA.COMYou may also likeFirst products of Apple, Google, Sony an...10 largest companies ranked by number of...Octopus EnergyUK-based energy supplier Octopus Energy has integrated ChatGPT into its customer service channels.TIMESOFINDIA.COMCheggmateCheggmate has adopted GPT-4 to enhance its services. Students now have prompt access to academic assistance, revolutionising the platform's support and eliminating dependence on human specialists.TIMESOFINDIA.COMFreshworksFreshworks revolutionises code development with ChatGPT. Coders reduce software creation time from 10 weeks to under a week using ChatGPT's code generation in popular languages.TIMESOFINDIA.COMUdacityUdacity uses GPT-4 to create a personalised virtual tutor. It offers tailored guidance, feedback, and explanations to individual learners, simplifies complex concepts, and provides translations for non-native language courses.TIMESOFINDIA.COMThanks For Reading!Next: First products of Apple, Google, Sony and other tech giantsRead Next
|
How popular companies use ChatGPT for enhanced services
|
How popular companies use ChatGPT enhanced services Times IndiaHow popular companies use ChatGPT enhanced servicesJun 8, 2023By: Kiran SinghMicrosoft Microsoft embraced ChatGPTs potential integrating Bing search. Users enjoy conversational search results, Microsoft plans extend ChatGPT popular software services like Word Excel.TIMESOFINDIA.COMDuolingoDuolingo GPT4 introduced exciting features. Duolingo Max provides indepth explanations answers, mimicking human tutors. Students practise language skills AI personas, creating immersive learning experiences.TIMESOFINDIA.COMExpediaExpedia integrated ChatGPTpowered AI assistance simplify travel planning. Customers chat knowledgeable agent, receive personalised recommendations, access smart lists hotels attractions.TIMESOFINDIA.COMCoca ColaBy ChatGPT DallE, Coca Cola enhances customer engagement brand connections personalised ad copy, images, messaging.TIMESOFINDIA.COMSnap The creator Snapchat integrated conversational AI platform bot My AI.TIMESOFINDIA.COMSlackSlack introduced ChatGPTpowered app enhance collaboration. With virtual assistant available 247, users streamline workflows, boost productivity, improve communication asking questions receiving project suggestions.TIMESOFINDIA.COMYou likeFirst products Apple, Google, Sony an...10 largest companies ranked number of...Octopus EnergyUKbased energy supplier Octopus Energy integrated ChatGPT customer service channels.TIMESOFINDIA.COMCheggmateCheggmate adopted GPT4 enhance services. Students prompt access academic assistance, revolutionising platforms support eliminating dependence human specialists.TIMESOFINDIA.COMFreshworksFreshworks revolutionises code development ChatGPT. Coders reduce software creation time 10 weeks week ChatGPTs code generation popular languages.TIMESOFINDIA.COMUdacityUdacity uses GPT4 create personalised virtual tutor. It offers tailored guidance, feedback, explanations individual learners, simplifies complex concepts, provides translations nonnative language courses.TIMESOFINDIA.COMThanks For ReadingNext: First products Apple, Google, Sony tech giantsRead Next
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https://todayheadline.co/activision-is-turning-to-ai-to-make-your-call-of-duty-matches-a-bit-less-toxic/
| 2023-08-31T00:00:00 |
en
|
Activision is turning to AI to make your Call of Duty matches a bit less toxic | TodayHeadline
|
Activision is turning to AI to make your Call of Duty matches a bit less toxic | TodayHeadline
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Activision is turning to AI to make your Call of Duty matches a bit less toxic
6 hours ago
in
Gaming
Reading Time: 3 mins read
A new voice moderation tool, powered by AI, has been added to Call of Duty to protect players from “toxic or disruptive behaviour they may encounter.” This tool is said to help increase Activision’s ability to “identify and enforce against bad behaviour that has gone unreported.”
The initial rollout of the voice chat moderation tool will begin in North America for Call of Duty: Modern Warfare 2 and Call of Duty: Warzone from today. It’ll be rolled out globally (excluding Asia) on November 10 when Call of Duty: Modern Warfare 3 arrives.
How exactly does this tool work, and what behaviour will it be looking out for? In a comprehensive FAQ shared to Activision’s website, the developer shares that voice chat moderation is “managed and operated by Activision and uses the AI-powered model ToxMod from Modulate.” It will be focused on “detecting harm within voice chat versus specific keywords”, and violations of Call of Duty’s Code of Conduct will see more toxic players be punished for their behaviour.
In case you’re concerned about flaming your friends during a round of Warzone and being subsequently punished as a result, the developer has shared that the tool does allow for “trash-talk and friendly banter.” However, as is to be expected, hate speech, sexism, and other types of discrimination will not be tolerated.
And if you don’t like the tool? Well, the developer suggests that those who do not wish to have their voice chat moderated should simply “disable in-game voice chat in the settings menu.” Problem solved. It has also specified that ToxMod’s job is just to moderate voice chat; the tool will not be dishing out punishment to problematic players.
“Call of Duty’s Voice Chat Moderation system only submits reports about toxic behavior, categorized by its type of behavior and a rated level of severity based on an evolving model. Activision determines how it will enforce voice chat moderation violations.”
So, if you’re just mucking about in Call of Duty having a good time with your friends, this tool won’t affect you. And if you’re worried your trash-talk might get flagged, anything that ToxMod flags should, according to Activision’s FAQ on the tool, be judged by a human before any punishments are dished out.
Even then, Modulate states that ToxMod “was born to understand all the nuance of voice. It goes beyond transcription to consider emotion, speech acts, listener responses, and much more.” If true, you can expect to see less toxicity in your Call of Duty games, hopefully.
Call of Duty: Modern Warfare 3 will be hosting two open beta weekends during October. Will you be playing?
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Activision is turning to AI to make your Call of Duty matches a bit less toxic
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Activision turning AI Call Duty matches bit toxic 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 Activision turning AI Call Duty matches bit toxic 6 hours ago Gaming Reading Time: 3 mins read A new voice moderation tool, powered AI, added Call Duty protect players toxic disruptive behaviour encounter. This tool said help increase Activisions ability identify enforce bad behaviour gone unreported. The initial rollout voice chat moderation tool begin North America Call Duty: Modern Warfare 2 Call Duty: Warzone today. Itll rolled globally excluding Asia November 10 Call Duty: Modern Warfare 3 arrives. How exactly tool work, behaviour looking for? In comprehensive FAQ shared Activisions website, developer shares voice chat moderation managed operated Activision uses AIpowered model ToxMod Modulate. It focused detecting harm voice chat versus specific keywords, violations Call Dutys Code Conduct toxic players punished behaviour. In case youre concerned flaming friends round Warzone subsequently punished result, developer shared tool allow trashtalk friendly banter. However, expected, hate speech, sexism, types discrimination tolerated. And dont like tool? Well, developer suggests wish voice chat moderated simply disable ingame voice chat settings menu. Problem solved. It specified ToxMods job moderate voice chat; tool dishing punishment problematic players. Call Dutys Voice Chat Moderation submits reports toxic behavior, categorized type behavior rated level severity based evolving model. Activision determines enforce voice chat moderation violations. So, youre mucking Call Duty good time friends, tool wont affect you. And youre worried trashtalk flagged, ToxMod flags should, according Activisions FAQ tool, judged human punishments dished out. Even then, Modulate states ToxMod born understand nuance voice. It goes transcription consider emotion, speech acts, listener responses, more. If true, expect toxicity Call Duty games, hopefully. Call Duty: Modern Warfare 3 hosting open beta weekends October. Will playing? Related Posts Gaming Free Play Days Tom Clancys Rainbow Six Siege, LEGO 2K Drive, Dead Daylight Operators, check loadouts, prepare... Read CD Projekt casually mentions that, Phantom Liberty, Cyberpunk 2077 MLB The Show 23 Season 4 introduces Snapshot Series, The Great Race 98 Program, PlayStation.Blog Netflixs LiveAction One Piece Adaptation: The Kotaku Review John Wicks Chad Stahelski Gives Update On Rainbow Six And Ghost Of Tsushima Movies Load More Trending Comments Latest Could Floridas Live Local Act Be Blueprint Addressing Housing Shortages Across United States? Disney, Bob Iger, Bob Chapek Sued Over Fraudulent Streaming Costs By Investors Deadline Black Knight Ready To Spin Off Its Empower And Optimal Blue Businesses Amazon threatened legal action sales unapproved drugs Rivian R1T DualMotor Max Pack Gets 410 Miles Of EPA Range Taylor Swift Concert Film Brings Eras Tour Theaters Elon Musks X collect biometric information, job history Taylor Swifts Eras Tour Concert Film Drives AMC Entertainment Stock Higher Up To 320 Miles Of Range Updates Climate School Student Government Todayheadline independent news topics discovery A homegrown independent news topic aggregation . displays breaking news linking news websites world. Latest News Taylor Swift Concert Film Brings Eras Tour Theaters Elon Musks X collect biometric information, job history Taylor Swifts Eras Tour Concert Film Drives AMC Entertainment Stock Higher Taylor Swift Concert Film Brings Eras Tour Theaters Elon Musks X collect biometric information, job history Taylor Swifts Eras Tour Concert Film Drives AMC Entertainment Stock Higher 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
| 2,023 |
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Behind the Snapshot: How the Galaxy S21’s AI Improves Your Photos in the Blink of an Eye | Udaipur News | Udaipur Latest News | udaipur local news । Udaipur Updates
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Behind the Snapshot: How the Galaxy S21’s AI Improves Your Photos in the Blink of an Eye | Udaipur News | Udaipur Latest News | udaipur local news । Udaipur Updates
Wednesday , February 17 2021
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Home / HEADLINES / Behind the Snapshot: How the Galaxy S21’s AI Improves Your Photos in the Blink of an Eye
Behind the Snapshot: How the Galaxy S21’s AI Improves Your Photos in the Blink of an Eye
Samsung has built a legacy of innovative smartphone camera technology that makes it simple for more people to take the perfect snapshot—from seasoned pros to complete beginners. Click the shutter and in an instant, you have stunning results, whether it’s a dreamy landscape or a precious family portrait. But a lot happens behind the scenes in that instant, and it’s thanks to the powerful AI onboard Samsung’s flagship Galaxy devices.
Starting with the Galaxy Note9’s Scene Optimizer, which used deep learning to deliver the best photos and editing effects, Samsung has continued to introduce more powerful AI features to its Galaxy cameras.
The Galaxy S21 series is the latest to feature Samsung’s cutting-edge AI-powered cameras, giving mobile photographers of all skill levels pro-grade tools that work behind-the-scenes to ensure every moment you capture is truly epic. In the first of this three-part series, we’ll take a closer look at how AI is improving portraits on the Galaxy S21 series.
Enhanced Selfie Experience
We’ve all had that moment of panic, frantically thumbing for the delete button, after taking a less than adequate selfie. But with the Galaxy S21 series’ selfie camera, you’ll always look your best with AI that delivers a more natural look and improved details. There are two key parts to the enhanced selfie experience:
1. Face information detection: When you snap a photo, the AI-powered selfie camera first identifies faces in the image, then segments them from the rest of the details in the scene, and finally applies natural enhancements to your subjects—all in the blink of an eye.
2.Restoration: The natural enhancements include bringing out the details in your subjects’ hair, eyes, and facial features and adjusting white balance to create more natural looking skin tones in any environment. The results are instantly shareable photos that don’t look overly processed or require further editing.
Samsung also included support for third party apps, so you can take images from your favorite camera or social media app and still get the benefits of AI-powered selfie camera.
Updated Portrait Mode
The Galaxy S21 series goes beyond just improving selfies—it also allows even beginners to capture studio-quality portraits of your friends, family, and even pets. The new advanced Portrait mode, formerly known as Live Focus, uses improved 3D sensing to deliver photos with more depth and dramatic effects.
When using Portrait mode, you can select from a variety of special effects to apply to your final image which include Blur, Studio, High-key Mono, Low-key Mono, Backdrop, and Color Point. As soon as you click the shutter, the onboard AI begins segmenting, matting, and refining the details of your subjects. Here’s how it works:
1. Segmentation Map: First, the AI immediately recognizes the humans or pets in the scene and generates an instant segmentation map to separate each individual subject.
2. Seed Map: Based on this segmentation map, a seed map of the subjects is generated to which your selected effects will apply. In a portrait like in the chart above, a seed map would separate the background from the main subject.
3. Tri-map: Image processing then adds a tri-map on top of the seed map, to identify the subject, the background, and the areas where they blend together.
4. Matte Map: Matting is then applied to the tri-map to bring out the details in the hair and facial features of your subjects.
5.Depth Estimation: Meanwhile, the AI simultaneously measures depth information to refine the background details and depth-of-field.1
During segmenting, the AI powering Portrait mode is able to discern whether you’re capturing a singular person, a group of people at different depth levels, or a pet cat or dog.
Refining the Details
Regardless of whether your subject is a human or an animal, AI matting plays an important role in ensuring you capture them in as much detail as possible. As noted above, after segmenting your subjects, the seed map generates a tri-map where black represents the background, white represents the subject, and gray represents areas of the image that are uncertain.
During image processing when the background is blurred out in Portrait mode, this map ensures that the blur doesn’t overlap with your subject. A matte map is then generated to refine the details in the gray, unknown areas of the scene and to improve the resolution of the image. At the same time matting takes place, the AI uses the seed map to refine the details of the interior parts of the subject. The maps are then combined and upscaled to produce a final, high-resolution portrait where your subjects really pop off the background. Although it seems like quite an extensive process, it all happens within 3 seconds.2
To learn more about the intelligent features behind the Galaxy S21 series’ powerful camera, be sure to check out the rest of the Behind the Snapshot series at Samsung Newsroom.
1 Depth-of-field adjustments are only applied when using the Blur effect on portraits of people and animals. If the camera measures an object at the same depth as a person, the effect is not applied, and the image is saved with its natural depth-of-field.
2 Portrait mode processing times may vary depending on the shooting conditions.
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2021-02-16
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Behind the Snapshot: How the Galaxy S21’s AI Improves Your Photos in the Blink of an Eye
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Behind Snapshot: How Galaxy S21s AI Improves Your Photos Blink Eye Udaipur News Udaipur Latest News udaipur local news Udaipur Updates Wednesday , February 17 2021 Us About Udaipur Kiran GST Calculator Write Support Free Independent Journalism Udaipur News Udaipur Latest News udaipur local news Udaipur Updates Udaipur News udaipur local news Read Udaipur Latest News, Udaipur Local News Hindi, Udaipur Breaking News Updates, Udaipur News Headlines, Udaipur Hindi News Paper udaipur local news HOME HEADLINES UDAIPUR INDIA RAJASTHAN BUSINESS TECHNOLOGY SCIENCE CAREER ENTERTAINMENT SPORTS LIFESTYLE HEALTH WORLD TOURISM Home HEADLINES Behind Snapshot: How Galaxy S21s AI Improves Your Photos Blink Eye Behind Snapshot: How Galaxy S21s AI Improves Your Photos Blink Eye Samsung built legacy innovative smartphone camera technology makes simple people perfect snapshotfrom seasoned pros complete beginners. Click shutter instant, stunning results, dreamy landscape precious family portrait. But lot happens scenes instant, thanks powerful AI onboard Samsungs flagship Galaxy devices. Starting Galaxy Note9s Scene Optimizer, deep learning deliver best photos editing effects, Samsung continued introduce powerful AI features Galaxy cameras. The Galaxy S21 series latest feature Samsungs cuttingedge AIpowered cameras, giving mobile photographers skill levels prograde tools work behindthescenes ensure moment capture truly epic. In threepart series, closer look AI improving portraits Galaxy S21 series. Enhanced Selfie Experience Weve moment panic, frantically thumbing delete button, taking adequate selfie. But Galaxy S21 series selfie camera, youll look best AI delivers natural look improved details. There key parts enhanced selfie experience: 1. Face information detection: When snap photo, AIpowered selfie camera identifies faces image, segments rest details scene, finally applies natural enhancements subjectsall blink eye. 2.Restoration: The natural enhancements include bringing details subjects hair, eyes, facial features adjusting white balance create natural looking skin tones environment. The results instantly shareable photos dont look overly processed require editing. Samsung included support party apps, images favorite camera social media app benefits AIpowered selfie camera. Updated Portrait Mode The Galaxy S21 series goes improving selfiesit allows beginners capture studioquality portraits friends, family, pets. The new advanced Portrait mode, known Live Focus, uses improved 3D sensing deliver photos depth dramatic effects. When Portrait mode, select variety special effects apply final image include Blur, Studio, Highkey Mono, Lowkey Mono, Backdrop, Color Point. As soon click shutter, onboard AI begins segmenting, matting, refining details subjects. Heres works: 1. Segmentation Map: First, AI immediately recognizes humans pets scene generates instant segmentation map separate individual subject. 2. Seed Map: Based segmentation map, seed map subjects generated selected effects apply. In portrait like chart above, seed map separate background main subject. 3. Trimap: Image processing adds trimap seed map, identify subject, background, areas blend together. 4. Matte Map: Matting applied trimap bring details hair facial features subjects. 5.Depth Estimation: Meanwhile, AI simultaneously measures depth information refine background details depthoffield.1 During segmenting, AI powering Portrait mode able discern youre capturing singular person, group people different depth levels, pet cat dog. Refining Details Regardless subject human animal, AI matting plays important role ensuring capture possible. As noted above, segmenting subjects, seed map generates trimap black represents background, white represents subject, gray represents areas image uncertain. During image processing background blurred Portrait mode, map ensures blur doesnt overlap subject. A matte map generated refine details gray, unknown areas scene improve resolution image. At time matting takes place, AI uses seed map refine details interior parts subject. The maps combined upscaled produce final, highresolution portrait subjects pop background. Although like extensive process, happens 3 seconds.2 To learn intelligent features Galaxy S21 series powerful camera, sure check rest Behind Snapshot series Samsung Newsroom. 1 Depthoffield adjustments applied Blur effect portraits people animals. If camera measures object depth person, effect applied, image saved natural depthoffield. 2 Portrait mode processing times vary depending shooting conditions. Please share news 20210216 chundawat Share Related Articles Samsung Launches Galaxy A12 India BestinSegment True 48MP Quad Camera 11 hours ago 37 killed bus falls canal Sidhi 14 hours ago Samsung Launches Galaxy F62, FullOnSpeedy Smartphone Flagship Exynos 9825 Processor, 64MP Quad Camera 7000mAh battery 2 days ago Playlivecasino 10CricIndia enjoy quality table games, stream HD directly mobile phone. Visit SevenJackpots read reviews popularonline casino India, casinos secure fast withdrawals. Play Teen Patti Online India 2020. Visit Casinoexpressindia play Teen Patti Online free casino bonus. Play card game directly desktop preferred mobile device. Want play real money Teen Patti Visitonlinecasinoguide.inand play Teen Patti real money today. online casino Indian Rupees Find dream job If looking reviews playonline casino India, look thanluckydice.in. Learn best games legally play them. Maintained udaipurkiran 2021,
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https://ummid.com/news/2023/july/13.07.2023/googles-medpalm-scores-more-than-chatgpt-in-us-medical-licensing-exam.html
| 2023-07-26T00:00:00 |
en
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Google's Med-PaLM scores more than ChatGPT in US Medical Licensing Exam | ummid.com
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Google's Med-PaLM scores more than ChatGPT in US Medical Licensing Exam | ummid.com
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Google's Med-PaLM scores more than ChatGPT in US Medical Licensing Exam
Although Med-PaLM responses still trail behind those of human physicians they were more accurate than its predessors including ChatGPT, the study showed. Read More
Thursday July 13, 2023 5:14 PM, ummid.com Tech Desk
San Francisco: MedPaLM, Google’s AI-driven medical chatbot, has successfully cracked a stringent US Medical Licensing Examination (USMLE), according to a peer-reviewed study published on Wednesday.
Although Med-PaLM responses still trail behind those of human physicians they were more accurate than its predessors including ChatGPT, the study showed.
ChatGPT's launch last year, developed by Microsoft owned OpenAI, resulted in a competitive fervor amongst big tech firms in the rapidly evolving realm of Artificial Intelligence.
A study in February reported that ChatGPT had managed to secure passing or near-passing scores.
'Preprint study'
Google initially introduced its AI solution, Med-PaLM, though not publicly available like ChatGPT, for responding to medical queries in a preprint study in December.
According to the American tech conglomerate, Med-PaLM is the first large language model – an AI method educated on extensive volumes of human-generated text – to successfully clear the US Medical Licensing Examination (USMLE).
'A new evaluation standard'
A passing score for the USMLE, an examination undertaken by medical students and physicians in training in the United States, hovers around 60%.
In a peer-reviewed study disclosed in the Nature Journal Wednesday, Google researchers stated that Med-PaLM scored 67.6% on multiple-choice questions styled after the USMLE.
Google claimed to have established a new evaluation standard in order to identify and reduce “hallucinations” — a term used when AI models generate incorrect data.
Med-PaLM 2
Google researcher and the principal author of the latest study, Karan Singhal, said that the team utilized the benchmark to evaluate a more recent version of their model, yielding “super exciting” outcomes.
According to a preprint study released in May, which hasn’t undergone peer review, Med-PaLM 2 has scored 86.5% on the USMLE exam, marking an improvement of nearly 20% over its predecessor.
Med-PaLM 2 has been undergoing testing since April at prominent medical institutions, including the Mayo Clinic research hospital.
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Google's Med-PaLM scores more than ChatGPT in US Medical Licensing Exam
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Googles MedPaLM scores ChatGPT US Medical Licensing Exam India World Politics Education Business Life Style Health Science Technology Views Analysis Welcome Guest You here: Home Science Technology Googles MedPaLM scores ChatGPT US Medical Licensing Exam Although MedPaLM responses trail human physicians accurate predessors including ChatGPT, study showed. Read More Thursday July 13, 2023 5:14 PM, Tech Desk San Francisco: MedPaLM, Googles AIdriven medical chatbot, successfully cracked stringent US Medical Licensing Examination USMLE, according peerreviewed study published Wednesday. Although MedPaLM responses trail human physicians accurate predessors including ChatGPT, study showed. ChatGPTs launch year, developed Microsoft owned OpenAI, resulted competitive fervor big tech firms rapidly evolving realm Artificial Intelligence. A study February reported ChatGPT managed secure passing nearpassing scores. Preprint study Google initially introduced AI solution, MedPaLM, publicly available like ChatGPT, responding medical queries preprint study December. According American tech conglomerate, MedPaLM large language model AI method educated extensive volumes humangenerated text successfully clear US Medical Licensing Examination USMLE. A new evaluation standard A passing score USMLE, examination undertaken medical students physicians training United States, hovers 60. In peerreviewed study disclosed Nature Journal Wednesday, Google researchers stated MedPaLM scored 67.6 multiplechoice questions styled USMLE. Google claimed established new evaluation standard order identify reduce hallucinations term AI models generate incorrect data. MedPaLM 2 Google researcher principal author latest study, Karan Singhal, said team utilized benchmark evaluate recent version model, yielding super exciting outcomes. According preprint study released May, undergone peer review, MedPaLM 2 scored 86.5 USMLE exam, marking improvement nearly 20 predecessor. MedPaLM 2 undergoing testing April prominent medical institutions, including Mayo Clinic research hospital. For latest News, Opinions Views, download App. Select Language To Read Urdu, Hindi, Marathi Arabic. Top Headlines 0 Quran Burning: UNHRC urges wakeup responsibility 1 SC terms illegal extensions Sanjay Kumar Mishra Director ED 2 Strong ground try punish Brij Bhushan Sharan Singh: Delhi Police 3 MHT CET 2023 Engineering Admission: Merit List, CAP Round dates published 4 Europe registers 60K heat related deaths Summer 2022 5 UPSC Civil Services Main 2023: DAF released online, Last date July 19 6 India 2nd list rejected Schengen Visa applications 7 MediaTek Dimensity 6100 advanced 5G connectivity accessible 8 Madhya Pradesh PeeGate: Caste Arrogance At Its Peak 9 Taliban supports Twitter, lists advantages Threads Post Comments Note: By posting comments agree terms conditions Top Stories Strong ground try punish Brij Bhushan Sharan Singh: Delhi Police More Stories In Pictures: Jenin Gives A Devastated Look After Israeli Military Operation SC terms illegal extensions Sanjay Kumar Mishra Director ED About Press office Terms use Disclaimer Connect Work Adverise News Section National Regional International Politics Life Style Science Technology Views Analysis Social RSS Feed Facebook Twitter YouTube LinkedIn Newsletter Awaz Multimedia Publications
| 2,023 |
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https://vakanser.se/jobb/senior+data+scientist+67/
| 2023-06-26T00:00:00 |
en
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Senior Data Scientist - Capgemini Engineering Sverige AB - Datajobb i Göteborg
|
Senior Data Scientist - Capgemini Engineering Sverige AB - Datajobb i Göteborg Senior Data Scientist Capgemini Engineering Sverige AB / Datajobb / Göteborg 2023-06-26 Prenumerera på nya jobb hos Capgemini Engineering Sverige AB Visa alla datajobb i Göteborg, Mölndal, Partille, Kungälv, Lerum eller i hela Sverige Visa alla jobb hos Capgemini Engineering Sverige AB i Göteborg, Jönköping, Karlstad, Linköping, Malmö eller i hela Sverige Are you looking for an R&D environment where you can work with world-class scientists and engineers on cutting edge projects? Do you want to contribute to a better world while building a career? Do you also have a passion for science, engineering, technology, business, data and human creativity?We are now looking for Senior Data Scientists to join our Data & AI Engineering unit. You will be part of a diverse and inclusive team of Data Scientists and Engineers working on solving interesting, real-world problems that truly make a difference. Your main responsibilities will be to deliver value for clients in the Nordics. Supported by our global knowledge base and network of skilled colleagues, you will be part of strategic discussions, contribute to solutioning and be a driving force for the competence development of your junior colleagues.Our HQ in Gothenburg. Possibility to work from Stockholm or Malmö can be considered on a case to case basis.Requirements for the role: - Masters or PhD in science in a scientific fields (computer science, mathematics, biology, engineering etc.) - A minimum of 5 years of relevant academic or professional experience within data engineering and data science - An analytical mindset, a willingness to roll up your sleeves and solve hands-on technical challenges - Excellent communication and presentation skills and an ability to explain complex concepts - Experience in one or several object-oriented scripting languages: Python, Java, C++, Scala, etc. - Knowledge of cloud platforms, tools and services provided by AWS, Azure or Google Cloud - Understanding how to implement effective ETL steps on said platforms - Professional level in EnglishMeritorious skills: - 10+ years of professional experience - Business analysis and tech project management skills are an advantage - Working knowledge of databases, SQL and/or Elasticsearch, and experience with data management tools such as Databricks. - Experience implementing data pipelines using tools such as Spark SQL, PySpark, Kafka and Hadoop.What we offerCapgemini Engineering is one of the world's leading consulting companies in R&D. We work in most industries globally. In Scandinavia we work within Automotive, Manufacturing, Telecom, Retail and Life Science industry. We deliver, together with our global centers of expertise, solutions for both large global customers and smaller local start-up companies. We offer you a work environment branded by innovation. You will be working with the cutting edge of IT and technology, surrounded by dedicated and skilled colleagues with high expertise. As a consultant at Capgemini Engineering and a member of the Data & AI team, you will belong in a global professional community of Data & AI experts with well formed career paths, trainings and opportunities for mentorship and continuous competence development opportunities.Welcome with your application and Get The Future You Want! Recruitment process during the summer holidayRight now it's holiday season at Capgemini Engineering. We look forward to review your application upon our return in week 33 and expect to be able to give you feedback towards the end of August. Thank you for your patience! Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of EUR16 billion.Get the Future You Want | www.capgemini.com Ersättning Fast månads- vecko- eller timlön Så ansöker du Sista dag att ansöka är 2023-11-25 Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb. Arbetsgivare Capgemini Engineering Sverige AB (org.nr 556542-2531), https://capgemini-engineering.com/se/en/about-us/our-offices/ Övrig information om företaget/organisationen Offentliga upphandlingar där Capgemini Engineering Sverige AB varit leverantör Jobbnummer 7913390 Prenumerera på jobb från Capgemini Engineering Sverige AB Fyll i din e-postadress för att få e-postnotifiering när det dyker upp fler lediga jobb hos Capgemini Engineering Sverige AB: Populära jobb Sjuksköterska till unik ASiH-verksamhet ... Ekonomiassistent till Filosofiska instit ... Brinkskolan söker lärare i slöjd och bil ... Account Manager till +46 i Västerås Personlig assistent med fast schemarad t ... Junior E-commerce Associate - South East ... Junior Business Analyst till Schenker De ... Lead Engineer - Thermal Supporttekniker till Akkodis Mekonomen Östersund söker Bilmekaniker! Populära nyckelord Reservdelsansvarig Dadelbollar Nyorientering Networking Astris Forskningsmaterial Arrangeras Knäckebrödet Tranemovardcentral Postkörning Nytillkomna arbetsgivare Hallgruppen R.I AB Hmta AB Skara kommun, Plan- och byggenheten Åre Kommun, Inköpsavdelningen Company Line AB Taxi MN retur AB Länsstyrelsen I Västra Götalands Län, Sa ... Sjöbo kommun, Vård- och omsorgsförvaltni ... Nitaj ShowedUp AB Miatorps Tehandel Vakanser.se 2007-2023 | Skapa prenumeration på nya jobb | Arbetsgivare: Lägg upp en platsannons | Om oss | Kontakta oss
|
Senior Data Scientist
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Senior Data Scientist Capgemini Engineering Sverige AB Datajobb Gteborg Senior Data Scientist Capgemini Engineering Sverige AB Datajobb Gteborg 20230626 Prenumerera p nya jobb hos Capgemini Engineering Sverige AB Visa alla datajobb Gteborg, Mlndal, Partille, Kunglv, Lerum eller hela Sverige Visa alla jobb hos Capgemini Engineering Sverige AB Gteborg, Jnkping, Karlstad, Linkping, Malm eller hela Sverige Are looking RD environment work worldclass scientists engineers cutting edge projects? Do want contribute better world building career? Do passion science, engineering, technology, business, data human creativity?We looking Senior Data Scientists join Data AI Engineering unit. You diverse inclusive team Data Scientists Engineers working solving interesting, realworld problems truly difference. Your main responsibilities deliver value clients Nordics. Supported global knowledge base network skilled colleagues, strategic discussions, contribute solutioning driving force competence development junior colleagues.Our HQ Gothenburg. Possibility work Stockholm Malm considered case case basis.Requirements role: Masters PhD science scientific fields science, mathematics, biology, engineering etc. A minimum 5 years relevant academic professional experience data engineering data science An analytical mindset, willingness roll sleeves solve handson technical challenges Excellent communication presentation skills ability explain complex concepts Experience objectoriented scripting languages: Python, Java, C, Scala, etc. Knowledge cloud platforms, tools services provided AWS, Azure Google Cloud Understanding implement effective ETL steps said platforms Professional level EnglishMeritorious skills: 10 years professional experience Business analysis tech project management skills advantage Working knowledge databases, SQL andor Elasticsearch, experience data management tools Databricks. Experience implementing data pipelines tools Spark SQL, PySpark, Kafka Hadoop.What offerCapgemini Engineering worlds leading consulting companies RD. We work industries globally. In Scandinavia work Automotive, Manufacturing, Telecom, Retail Life Science industry. We deliver, global centers expertise, solutions large global customers smaller local startup companies. We offer work environment branded innovation. You working cutting edge IT technology, surrounded dedicated skilled colleagues high expertise. As consultant Capgemini Engineering member Data AI team, belong global professional community Data AI experts formed career paths, trainings opportunities mentorship continuous competence development opportunities.Welcome application Get The Future You Want Recruitment process summer holidayRight holiday season Capgemini Engineering. We look forward review application return week 33 expect able feedback end August. Thank patience Capgemini Engineering integral Capgemini Group, global leader partnering companies transform manage business harnessing power technology. The Group guided day purpose unleashing human energy technology inclusive sustainable future. It responsible diverse organization 270,000 team members nearly 50 countries. With strong 50year heritage deep industry expertise, Capgemini trusted clients address entire breadth business needs, strategy design operations, fueled fast evolving innovative world cloud, data, AI, connectivity, software, digital engineering platforms. The Group reported 2020 global revenues EUR16 billion.Get Future You Want Ersttning Fast mnads vecko eller timln S ansker du Sista dag att anska r 20231125 Klicka p denna lnk fr att gra din anskan Omfattning Detta r ett heltidsjobb. Arbetsgivare Capgemini Engineering Sverige AB org.nr 5565422531, vrig information om fretagetorganisationen Offentliga upphandlingar dr Capgemini Engineering Sverige AB varit leverantr Jobbnummer 7913390 Prenumerera p jobb frn Capgemini Engineering Sverige AB Fyll din epostadress fr att f epostnotifiering nr det dyker upp fler lediga jobb hos Capgemini Engineering Sverige AB: Populra jobb Sjukskterska till unik ASiHverksamhet ... Ekonomiassistent till Filosofiska instit ... Brinkskolan sker lrare sljd och bil ... Account Manager till 46 Vsters Personlig assistent med fast schemarad ... Junior Ecommerce Associate South East ... Junior Business Analyst till Schenker De ... Lead Engineer Thermal Supporttekniker till Akkodis Mekonomen stersund sker Bilmekaniker Populra nyckelord Reservdelsansvarig Dadelbollar Nyorientering Networking Astris Forskningsmaterial Arrangeras Knckebrdet Tranemovardcentral Postkrning Nytillkomna arbetsgivare Hallgruppen R.I AB Hmta AB Skara kommun, Plan och byggenheten Kommun, Inkpsavdelningen Company Line AB Taxi MN retur AB Lnsstyrelsen I Vstra Gtalands Ln, Sa ... Sjbo kommun, Vrd och omsorgsfrvaltni ... Nitaj ShowedUp AB Miatorps Tehandel Vakanser.se 20072023 Skapa prenumeration p nya jobb Arbetsgivare: Lgg upp en platsannons Om oss Kontakta oss
| 2,023 |
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Games
Sponsored How DeepMotion uses AI to create believable characters
VB Staff April 1, 2020 1:50 AM
This article is made possible by Intel’s GameDev BOOST program — dedicated to helping indie game developers everywhere achieve their dreams
Throughout Kevin He’s career in the tech and gaming industries, something has always bothered him. While rendering and other technologies evolved tremendously over time, animation woefully lagged behind. As an engineer, He wanted to find an efficient way to create more lifelike animations, and he was convinced that advanced physics simulation and AI could solve that problem.
So in 2014, He struck out on his own to start DeepMotion. The goal of the San Mateo, California-based company is to provide developers with powerful software development kits (SDK) that’ll allow them to create realistic animations for games and other applications. DeepMotion is trying to offer a better alternative to what He called the “tedious and labor-intensive” method of traditional keyframe animation.
Initially, the company applied physics simulation to make animation automatic. It then progressed into machine learning and deep learning, explained He, who is DeepMotion’s CEO.
“I think animation systems need a lot of love to get to a level where everyone feels engaged and immersed,” said He.
Some of DeepMotion’s products include Motion Brain, Body Tracking, and Virtual Reality Tracking. Motion Brain uses machine learning algorithms to animate characters that can interact with users in believable ways. Body Tracking captures movements in the real world via a camera and reconstructs it in the digital world (as seen with the emoji avatars in Samsung’s Galaxy S10 smartphones). And Virtual Reality Tracking helps create full body animations for VR.
Instead of individually animating characters or avatars, the company leverages AI to do some of the heavy lifting. Kevin He said the team’s long-term vision is to treat the real world “as a resource that we can use to train AI. Like in the TV series Westworld, the AI can observe how humans do everyday things, and the AI will learn how to do the movements itself.”
It’s still early days for DeepMotion’s technology — while it has a number of partners, only a few have been announced. One is New Zealand developer DryCactus, which is known for the popular bridge-building simulator Poly Bridge. The studio is working with DeepMotion’s Avatar Physics Engine for its next game.
He said DeepMotion is also working on a cloud version of their Body Tracking solution, which it calls its Cloud Animation Service. This allows you to easily convert reference clips in various formats (like MP4 and AVI) into FBX animations. It’s available now in an invite-only alpha testing phase, but developers can request access by contacting the company.
Building the future of AI-driven animation
DeepMotion is currently hard at work to improve its suite of SDKs. It recently earned a MegaGrant funding award from publisher Epic Games for the purpose of continuing Epic’s Unreal Engine support for VR Body Tracking. The company has also been closely working with Intel to further advance the capabilities of its Motion Brain technology, the next step of which is called Generative Motion Brain.
Moreover, Intel was excited about DeepMotion’s vision. It helped the company on hardware and also provided support on performance optimization.
DeepMotion is using Intel’s 192-core SDP server to train its generative Motion Brain models so that they can create infinite AI-crafted motions that look like real humans. The additional computing power from Intel’s hardware means that the company can decrease the costs and development time it’d otherwise spend on training, and thus offer new products sooner.
“In short, the Intel multi-core servers allow us to compress multiple weeks’ worth of work into multiple days. That makes our iteration much faster,” said He.
Another benefit of the Intel partnership is that it frees up DeepMotion’s resources to focus on other endeavors. For example, the speed and efficiency of using the company’s products can be useful for creating immersive virtual worlds filled with naturally behaving characters. And that goes beyond just video games.
“If you look at what all these big tech companies are doing — Google, Facebook, Apple — everyone believes that the future of the digital world will be three-dimensional. It will be potentially AR and VR enhanced,” said He. “So it will go beyond a flat medium like a web page or email.
“If that assumption, that dream, comes true, you can imagine that you will have a huge, virtual 3D world that would need to be populated with content. … We believe that’s the future, and that we need to create powerful tools for content creators so they can use our products and services to populate a futuristic 3D world with a massive amount of realistic and interactive content.”
Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. Content produced by our editorial team is never influenced by advertisers or sponsors in any way. For more information, contact [email protected]
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The goal San Mateo, Californiabased company provide developers powerful software development kits SDK thatll allow create realistic animations games applications. DeepMotion trying offer better alternative He called tedious laborintensive method traditional keyframe animation. Initially, company applied physics simulation animation automatic. It progressed machine learning deep learning, explained He, DeepMotions CEO. I think animation systems need lot love level feels engaged immersed, said He. Some DeepMotions products include Motion Brain, Body Tracking, Virtual Reality Tracking. Motion Brain uses machine learning algorithms animate characters interact users believable ways. Body Tracking captures movements real world camera reconstructs digital world seen emoji avatars Samsungs Galaxy S10 smartphones. And Virtual Reality Tracking helps create body animations VR. Instead individually animating characters avatars, company leverages AI heavy lifting. Kevin He said teams longterm vision treat real world resource use train AI. Like TV series Westworld, AI observe humans everyday things, AI learn movements itself. Its early days DeepMotions technology number partners, announced. One New Zealand developer DryCactus, known popular bridgebuilding simulator Poly Bridge. The studio working DeepMotions Avatar Physics Engine game. He said DeepMotion working cloud version Body Tracking solution, calls Cloud Animation Service. This allows easily convert reference clips formats like MP4 AVI FBX animations. Its available inviteonly alpha testing phase, developers request access contacting company. Building future AIdriven animation DeepMotion currently hard work improve suite SDKs. It recently earned MegaGrant funding award publisher Epic Games purpose continuing Epics Unreal Engine support VR Body Tracking. The company closely working Intel advance capabilities Motion Brain technology, step called Generative Motion Brain. Moreover, Intel excited DeepMotions vision. It helped company hardware provided support performance optimization. DeepMotion Intels 192core SDP server train generative Motion Brain models create infinite AIcrafted motions look like real humans. The additional computing power Intels hardware means company decrease costs development time itd spend training, offer new products sooner. In short, Intel multicore servers allow compress multiple weeks worth work multiple days. That makes iteration faster, said He. Another benefit Intel partnership frees DeepMotions resources focus endeavors. For example, speed efficiency companys products useful creating immersive virtual worlds filled naturally behaving characters. And goes video games. If look big tech companies Google, Facebook, Apple believes future digital world threedimensional. It potentially AR VR enhanced, said He. So flat medium like web email. If assumption, dream, comes true, imagine huge, virtual 3D world need populated content. We believe thats future, need create powerful tools content creators use products services populate futuristic 3D world massive realistic interactive content. Sponsored articles content produced company paying post business relationship VentureBeat, theyre clearly marked. Content produced editorial team influenced advertisers sponsors way. For information, contact sales GamesBeat Summit The great speakers intimate networking Hosted Online April 28 29 Today Most Read How DeepMotion uses AI create believable characters Rockstar Games donate 5 GTA Online Red Dead Online revenue fight coronavirus Trivia Crack maker Etermax launches Words Ladders mobile game Hearthstone: Year Phoenix Diving economics monetization Twitch launches Mod View community moderating easier UPCOMING EVENTS GamesBeat Summit Apr. 2829 The industrys intimate gaming event senior industry executives, developers investors.
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https://venturebeat.com/2020/09/22/microsoft-gets-exclusive-license-for-openais-gpt-3-language-model/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2020-09-22T00:00:00 |
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Microsoft gets exclusive license for OpenAI's GPT-3 language model | VentureBeat
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Microsoft gets exclusive license for OpenAI's GPT-3 language model | VentureBeat
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Microsoft gets exclusive license for OpenAI’s GPT-3 language model
Kyle Wiggers@Kyle_L_Wiggers September 22, 2020 8:57 AM
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OpenAI booth at NeurIPS 2019 in Vancouver, CanadaImage Credit: Khari Johnson / VentureBeat
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Microsoft today announced that it will exclusively license GPT-3, one of the most powerful language understanding models in the world, from AI startup OpenAI. In a blog post, Microsoft EVP Kevin Scott said that the new deal will allow Microsoft to leverage OpenAI’s technical innovations to develop and deliver AI solutions for customers, as well as create new solutions that harness the power of natural language generation.
“We see this as an incredible opportunity to expand our Azure-powered AI platform in a way that democratizes AI technology, enables new products, services and experiences, and increases the positive impact of AI at scale,” Scott said. “The scope of commercial and creative potential that can be unlocked through the GPT-3 model is profound, with genuinely novel capabilities — most of which we haven’t even imagined yet. Directly aiding human creativity and ingenuity in areas like writing and composition, describing and summarizing large blocks of long-form data (including code), converting natural language to another language — the possibilities are limited only by the ideas and scenarios that we bring to the table.”
The implications of the licensing agreement weren’t immediately clear, but Microsoft says that OpenAI will continue to offer GPT-3 and other models via its Azure-hosted API, launched in June. (To date, the API, which remains in beta, has received tens of thousands of applications, according to OpenAI.) As for Microsoft, the company plans to leverage the capabilities of GPT-3 in its own products, services, and experiences and continue to work with OpenAI to keep commercialize the firm’s AI research.
Roughly a year ago, Microsoft announced it would invest $1 billion in San Francisco-based OpenAI to jointly develop new technologies for Microsoft’s Azure cloud platform and to “further extend” large-scale AI capabilities that “deliver on the promise” of artificial general intelligence (AGI). In exchange, OpenAI agreed to license some of its intellectual property to Microsoft, which the company would then package and sell to partners, and to train and run AI models on Azure as OpenAI worked to develop next-generation computing hardware.
In May during its Build 2020 developer conference, Microsoft unveiled what it calls the AI Supercomputer, an Azure-hosted, OpenAI-co-designed machine containing over 285,000 processor cores, 10,000 graphics cards, and 400 gigabits per second of connectivity for each graphics card server. Microsoft claims it’s the fifth most powerful machine in the world, compared with the TOP 500, a project that benchmarks and details the 500 top-performing supercomputers.
In the roughly three months since GPT-3 became publicly available, it continues to be the subject of fascination within the AI community and beyond. Portland State University computer science professor Melanie Mitchell found evidence that GPT-3 can make primitive analogies, and Columbia University’s Raphaël Millière asked GPT-3 to compose a response to the philosophical essays written about it. But as the U.S. presidential election nears, there’s growing concern among academics that tools like GPT-3 could be co-opted by malicious actors to foment discord by spreading misinformation, disinformation, and outright lies. In a paper published by the Middlebury Institute of International Studies’ Center on Terrorism, Extremism, and Counterterrorism (CTEC), the coauthors find that GPT-3’s strength in generating “informational,” “influential” text could be leveraged to “radicalize individuals into violent far-right extremist ideologies and behaviors.”
OpenAI previously said it’s experimenting with safeguards at the API level including “toxicity filters” to limit harmful language from GPT-3. For instance, it hopes to deploy filters that pick up antisemitic content while still letting through neutral content talking about Judaism.
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Microsoft gets exclusive license for OpenAI's GPT-3 language model
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Microsoft gets exclusive license OpenAIs GPT3 language model VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Microsoft gets exclusive license OpenAIs GPT3 language model Kyle Wiggers September 22, 2020 8:57 AM AI Share Facebook Share Twitter Share LinkedIn OpenAI booth NeurIPS 2019 Vancouver, CanadaImage Credit: Khari Johnson VentureBeat Automation Jobs Read latest special issue. Open Now Microsoft today announced exclusively license GPT3, powerful language understanding models world, AI startup OpenAI. In blog post, Microsoft EVP Kevin Scott said new deal allow Microsoft leverage OpenAIs technical innovations develop deliver AI solutions customers, create new solutions harness power natural language generation. We incredible opportunity expand Azurepowered AI platform way democratizes AI technology, enables new products, services experiences, increases positive impact AI scale, Scott said. The scope commercial creative potential unlocked GPT3 model profound, genuinely novel capabilities havent imagined yet. Directly aiding human creativity ingenuity areas like writing composition, describing summarizing large blocks longform data including code, converting natural language language possibilities limited ideas scenarios bring table. The implications licensing agreement werent immediately clear, Microsoft says OpenAI continue offer GPT3 models Azurehosted API, launched June. To date, API, remains beta, received tens thousands applications, according OpenAI. As Microsoft, company plans leverage capabilities GPT3 products, services, experiences continue work OpenAI commercialize firms AI research. Roughly year ago,Microsoft announced invest 1 billion San Franciscobased OpenAI jointly develop new technologies Microsofts Azure cloud platform extend largescale AI capabilities deliver promise artificial general intelligence AGI. In exchange, OpenAI agreed license intellectual property Microsoft, company package sell partners, train run AI models Azure OpenAI worked develop nextgeneration computing hardware. In May Build 2020 developer conference, Microsoft unveiled calls AI Supercomputer, Azurehosted, OpenAIcodesigned machine containing 285,000 processor cores, 10,000 graphics cards, 400 gigabits second connectivity graphics card server. Microsoft claims fifth powerful machine world, compared theTOP 500, project benchmarks details 500 topperforming supercomputers. In roughly months GPT3 publicly available, continues subject fascination AI community beyond. Portland State University science professor Melanie Mitchell evidence GPT3 primitive analogies, Columbia Universitys Raphal Millire asked GPT3 compose aresponseto philosophical essays written it. But U.S. presidential election nears, theres growing concern academics tools like GPT3 coopted malicious actors foment discord spreading misinformation, disinformation, outright lies. In apaper published Middlebury Institute International Studies Center Terrorism, Extremism, Counterterrorism CTEC, coauthors GPT3s strength generating informational, influential text leveraged radicalize individuals violent farright extremist ideologies behaviors. OpenAI previously said experimenting safeguards API level including toxicity filters limit harmful language GPT3. For instance, hopes deploy filters pick antisemitic content letting neutral content talking Judaism. VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. .
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https://venturebeat.com/2020/11/10/apples-macbook-air-macbook-pro-and-mac-mini-get-m1-chips-with-16-ai-cores/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2020-11-11T00:00:00 |
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Apple's MacBook Air, MacBook Pro, and Mac mini get M1 chips with 16 AI cores | VentureBeat
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Apple's MacBook Air, MacBook Pro, and Mac mini get M1 chips with 16 AI cores | VentureBeat
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Apple’s MacBook Air, MacBook Pro, and Mac mini get M1 chips with 16 AI cores
Jeremy Horwitz@horwitz November 10, 2020 10:36 AM
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Image Credit: Apple
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In addition to announcing the release of macOS Big Sur and formally revealing its first Mac-specific M1 chips, Apple today unveiled the first Mac computers that will use its new software and hardware: M1-powered versions of the 13-inch MacBook Air, 13-inch MacBook Pro, and Mac mini. Each of the machines will be using the M1 chip to deliver performance roughly three times the prior comparable Intel model, with AI performance that will be upwards of 11 times faster thanks to a new 16-core Neural Engine.
On the surface, the new machines look very similar to the Intel-based Macs they replace. However, they benefit from some new Apple chip-enabled features that will make them instantly appealing to new users, with the now fanless MacBook Air boasting longer battery life and dramatically improved graphics performance compared with Intel’s integrated Iris Plus graphics chip. The Mac mini promises three times the prior CPU performance and six times previous GPU performance, while the MacBook Pro gains up to five times faster graphics and 2.8 times the CPU speed. All of the new machines support Thunderbolt 4 and USB 4, as well as Wi-Fi 6 and Bluetooth 5.0 for wireless connectivity.
Interestingly, most of the machines appear to be shipping with not just the same M1, but without any option to pick between speeds or graphics upgrades. Apple lists the same eight-core CPU, eight-core GPU, and 16-core Neural Engine across most of the new models, without any CPU or GPU customization — customers can add more RAM and more solid state storage to the base models, but that’s it. By comparison, the base MacBook Air model has only a seven-core GPU, while a more expensive step up has an eight-core GPU and more storage.
Longevity is a major selling point for the new laptops. The Intel 13″ MacBook Air promised 11-12 hours of video playback or web browsing on a single charge; for the M1 version, Apple promises over 15 hours of run time, with up to 18 hours of video playback. Thanks to its larger internal battery, the MacBook Pro promises 17-20 hours of run time, depending on tasks, which Apple notes is the longest battery life ever in a Mac.
There are some disappointments in the new models. Beyond their lack of physical redesigns, the new MacBook Pro and Air are stuck with 720p FaceTime cameras, well below the resolution of comparable iPhone and iPad front-facing selfie cams. Apple says that the cameras have lower noise, greater dynamic range, and improved white balance than before, but they’re still not great. Additionally, the new MacBook Pro appears only to be replacing the prior entry-level 13-inch models: the M1 machines ship with only two USB ports, 8GB of RAM, and 256GB of memory, while Intel models remain in the lineup with four ports and more memory, priced at $1,799 and up.
Apple isn’t ratcheting up the pricing on the M1 models. The entry-level M1 MacBook Air with 256GB of storage continues to sell for $999 — the same it previously cost for a 1.1GHz dual-core Intel Core i3, 256GB of storage, and 8GB of memory — with a $100 discount for educational customers, and a $1,249 model doubles the storage to 512GB and adds the aforementioned extra graphics core. Apple is also offering 1TB and 2TB SSDs for $400 to $800 premiums over the base prices, with 16GB of RAM for a $200 upcharge.
The Mac mini previously started at $799 for a 3.6GHz four-core Intel Core i3 with 256GB of storage and 8GB of memory, plus Intel’s integrated UHD Graphics 630 GPU, but Apple has dropped the entry price to $699 for the 256GB M1-based version, with a $899 model doubling the storage. Six-core Intel Core i5 models with 3.0GHz standard/4.1GHz Turbo clock speeds and 512GB of storage remain in the lineup, starting at $1,099.
Finally, the 256GB SSD-equipped MacBook Pro remains at a $1,299 entry price, with a $1,499 model offering 512GB of storage. All of the machines are available for preorder today and will be available in stores next week.
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Apple's MacBook Air, MacBook Pro, and Mac mini get M1 chips with 16 AI cores
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Apples MacBook Air, MacBook Pro, Mac mini M1 chips 16 AI cores VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation 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 Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Apples MacBook Air, MacBook Pro, Mac mini M1 chips 16 AI cores Jeremy Horwitz November 10, 2020 10:36 AM Business Share Facebook Share Twitter Share LinkedIn Image Credit: Apple Maintain employer brand pandemic Read VentureBeat Jobs guide employer branding Download eBook In addition announcing release macOS Big Sur formally revealing Macspecific M1 chips, Apple today unveiled Mac computers use new software hardware: M1powered versions 13inch MacBook Air, 13inch MacBook Pro, Mac mini. Each machines M1 chip deliver performance roughly times prior comparable Intel model, AI performance upwards 11 times faster thanks new 16core Neural Engine. On surface, new machines look similar Intelbased Macs replace. However, benefit new Apple chipenabled features instantly appealing new users, fanless MacBook Air boasting longer battery life dramatically improved graphics performance compared Intels integrated Iris Plus graphics chip. The Mac mini promises times prior CPU performance times previous GPU performance, MacBook Pro gains times faster graphics 2.8 times CPU speed. All new machines support Thunderbolt 4 USB 4, WiFi 6 Bluetooth 5.0 wireless connectivity. Interestingly, machines appear shipping M1, option pick speeds graphics upgrades. Apple lists eightcore CPU, eightcore GPU, 16core Neural Engine new models, CPU GPU customization customers add RAM solid state storage base models, thats it. By comparison, base MacBook Air model sevencore GPU, expensive step eightcore GPU storage. Longevity major selling point new laptops. The Intel 13 MacBook Air promised 1112 hours video playback web browsing single charge; M1 version, Apple promises 15 hours run time, 18 hours video playback. Thanks larger internal battery, MacBook Pro promises 1720 hours run time, depending tasks, Apple notes longest battery life Mac. There disappointments new models. Beyond lack physical redesigns, new MacBook Pro Air stuck 720p FaceTime cameras, resolution comparable iPhone iPad frontfacing selfie cams. Apple says cameras lower noise, greater dynamic range, improved white balance before, theyre great. Additionally, new MacBook Pro appears replacing prior entrylevel 13inch models: M1 machines ship USB ports, 8GB RAM, 256GB memory, Intel models remain lineup ports memory, priced 1,799 up. Apple isnt ratcheting pricing M1 models.The entrylevel M1 MacBook Air 256GB storage continues sell 999 previously cost 1.1GHz dualcore Intel Core i3, 256GB storage, 8GB memory 100 discount educational customers, 1,249 model doubles storage 512GB adds aforementioned extra graphics core. Apple offering 1TB 2TB SSDs 400 800 premiums base prices, 16GB RAM 200 upcharge. The Mac mini previously started 799 3.6GHz fourcore Intel Core i3 256GB storage 8GB memory, plus Intels integrated UHD Graphics 630 GPU, Apple dropped entry price 699 256GB M1based version, 899 model doubling storage. Sixcore Intel Core i5 models 3.0GHz standard4.1GHz Turbo clock speeds 512GB storage remain lineup, starting 1,099. Finally, 256GB SSDequipped MacBook Pro remains 1,299 entry price, 1,499 model offering 512GB storage. All machines available preorder today available stores week. How startups scaling communication: The pandemic making startups close look ramping communication solutions. Learn VentureBeat RSS jobs dream job today. Get Hired VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. .
| 2,020 |
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https://venturebeat.com/2021/04/07/synthesis-ai-emerges-from-stealth-with-4-5m-to-create-synthetic-face-datasets/
| 2021-04-07T00:00:00 |
en
|
Synthesis AI emerges from stealth with $4.5M to create synthetic face datasets | VentureBeat
|
Synthesis AI emerges from stealth with $4.5M to create synthetic face datasets | VentureBeat
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Synthesis AI emerges from stealth with $4.5M to create synthetic face datasets
Kyle Wiggers@Kyle_L_Wiggers April 7, 2021 6:00 AM
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Synthesis AI, a synthetic data company, today emerged from stealth with the announcement that it closed a $4.5 million funding round. The startup says that the capital will allow it to expand its R&D team and develop new synthetic data technologies.
Self-driving vehicle companies alone spend billions of dollars per year collecting and labeling data, according to estimates. Third-party contractors enlist hundreds of thousands of human data labelers to draw and trace the annotations machine learning models need to learn. (A properly labeled dataset provides a ground truth that the models use to check their predictions for accuracy and continue refining their algorithms.) Curating these datasets to include the right distribution and frequency of samples becomes exponentially more difficult as performance requirements increase. And the pandemic has underscored how vulnerable these practices are, as contractors have been increasingly forced to work from home, prompting some companies to turn to synthetic data as an alternative.
Synthesis AI’s platform leverages generative machine learning models, image rendering and composition, and other techniques to create and label images of objects, scenes, people, and environments. Customers can modify things like geometries, textures, lighting, image modalities, and camera locations to produce varied data for training computer vision models.
Above: A face generated by Synthesis AI’s API.Image Credit: Synthesis AI
Synthesis AI offers datasets containing 10,000 to 200,000 scenes for common use cases including head poses and facial expressions, eye gazes, and near infrared images. But what the company uniquely provides is an API that generates millions of images of realistic faces captured from different angles in a range of environments. Using the API, customers can submit a job in the cloud to synthesize as much as terabytes of data.
Synthesis AI says its API covers tens of thousands of identities spanning genders, age groups, ethnicities, and skin tones. It procedurally generates modifications to faces to reflect changes in expressions and emotions, as well as motions like head turns and features such as head and facial hair. Built-in styles adorn subjects with accessories like glasses, sunglasses, hats and other headwear, headphones, and face masks. Other controls enable adjustments in camera optics, lighting, and post-processing.
Synthesis AI makes the claim that its data is unbiased and “perfectly labeled,” but the jury’s out on the representativeness of synthetic data. In a study last January, researchers at Arizona State University showed that when an AI system trained on a dataset of images of engineering professors was tasked with creating faces, 93% were male and 99% white. The system appeared to have amplified the dataset’s existing biases — 80% of the professors were male and 76% were white.
On the other hand, startups like Hazy and Mostly AI say that they’ve developed methods for controlling the biases of data in ways that actually reduce harm. A recent study published by a group of Ph.D. candidates at Stanford claims the same — the coauthors say their technique allows them to weight certain features as more important in order to generate a diverse set of images for computer vision training.
Despite competition from startups like Datagen and Parallel Domain, Synthesis AI says that “major” technology and handset manufacturers are already using its API to generate model training and test datasets. Among the early adopters is Affectiva, a company that builds AI it claims can understand emotions by analyzing facial expressions and speech.
“One of our teleconferencing customers leveraged synthetic data to create more robust facial segmentation models. By creating a very diverse set of data with more than 1,000 individuals with a wide variety of facial features, hairstyles, accessories, cameras, lighting, and environments, they were able to significantly improve the performance of their models,” founder and CEO Yashar Behzadi told VentureBeat via email. “[Another one] of our customers is building a car driver and occupant sensing systems. They leveraged synthetic data of thousands of individuals in the car cabin across various situations and environments to determine the optimal camera placement and overall configuration to ensure the best performance.”
In the future, 11-employee Synthesis AI plans to launch additional APIs to address different computer vision challenges. “It is inevitable that simulation and synthetic data will be used to develop computer vision AI,” Behzadi continued. “To reach widespread adoption, we need to continue to build out 3D models to represent more of the real world and create scalable cloud-based systems to make the simulation platform available on-demand across a broad set of use cases.”
Existing investors Bee Partners, PJC, iRobot Ventures, Swift Ventures, Boom Capital, Kubera VC, and Leta Capital contributed to San Francisco, California-based Synthesis AI’s seed round announced today.VentureBeat
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Synthesis AI emerges from stealth with $4.5M to create synthetic face datasets
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Synthesis AI emerges stealth 4.5M create synthetic face datasets VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue 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 Please wait... Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Synthesis AI emerges stealth 4.5M create synthetic face datasets Kyle Wiggers April 7, 2021 6:00 AM Share Facebook Share Twitter Share LinkedIn Transform 2021 Join worlds leading event accelerating enterprise transformation AI Data July 1216, 2021 Free Registration Join GamesBeat Summit 2021 April 2829. free grab discounted VIP pass today. Synthesis AI, synthetic data company, today emerged stealth announcement closed 4.5 million funding round. The startup says capital allow expand RD team develop new synthetic data technologies. Selfdriving vehicle companies spend billions dollars yearcollecting labeling data, according estimates. Thirdparty contractors enlist hundreds thousands human data labelers draw trace annotations machine learning models need learn. A properly labeled dataset provides ground truth models use check predictions accuracy continue refining algorithms. Curating datasets include right distribution frequency samples exponentially difficult performance requirements increase. And pandemic underscored vulnerable practices are, contractors increasingly forced work home, prompting companies turn synthetic data alternative. Synthesis AIs platform leverages generative machine learning models, image rendering composition, techniques create label images objects, scenes, people, environments. Customers modify things like geometries, textures, lighting, image modalities, camera locations produce varied data training vision models. Above: A face generated Synthesis AIs API.Image Credit: Synthesis AI Synthesis AI offers datasets containing 10,000 200,000 scenes common use cases including head poses facial expressions, eye gazes, near infrared images. But company uniquely provides API generates millions images realistic faces captured different angles range environments. Using API, customers submit job cloud synthesize terabytes data. Synthesis AI says API covers tens thousands identities spanning genders, age groups, ethnicities, skin tones. It procedurally generates modifications faces reflect changes expressions emotions, motions like head turns features head facial hair. Builtin styles adorn subjects accessories like glasses, sunglasses, hats headwear, headphones, face masks. Other controls enable adjustments camera optics, lighting, postprocessing. Synthesis AI makes claim data unbiased perfectly labeled, jurys representativeness synthetic data. In study January, researchers Arizona State University showed AI trained dataset images engineering professors tasked creating faces, 93 male 99 white. The appeared amplified datasets existing biases 80 professors male 76 white. On hand, startups like Hazy Mostly AI theyve developed methods controlling biases data ways actually reduce harm. A recent study published group Ph.D. candidates Stanford claims coauthors technique allows weight certain features important order generate diverse set images vision training. Despite competition startups like Datagen Parallel Domain, Synthesis AI says major technology handset manufacturers API generate model training test datasets. Among early adopters Affectiva, company builds AI claims understand emotions analyzing facial expressions speech. One teleconferencing customers leveraged synthetic data create robust facial segmentation models. By creating diverse set data 1,000 individuals wide variety facial features, hairstyles, accessories, cameras, lighting, environments, able significantly improve performance models, founder CEO Yashar Behzadi told VentureBeat email. [Another one]of customers building car driver occupant sensing systems. They leveraged synthetic data thousands individuals car cabin situations environments determine optimal camera placement overall configuration ensure best performance. In future, 11employee Synthesis AI plans launch additional APIs address different vision challenges. It inevitable simulation synthetic data develop vision AI, Behzadi continued. To reach widespread adoption, need continue build 3D models represent real world create scalable cloudbased systems simulation platform available ondemand broad set use cases. Existing investors Bee Partners, PJC, iRobot Ventures, Swift Ventures, Boom Capital, Kubera VC, Leta Capital contributed San Francisco, Californiabased Synthesis AIs seed round announced today.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 Transform 2021 Join worlds leading event accelerating enterprise transformation AI Data, enterprise technology decisionmakers, presented 1 publisher AI Data Learn More Join forces OHUB VB include hire 1,000 BIPOC students SXSW Sponsor hire VentureBeat Home Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Special Issue Product Comparisons Jobs About Careers 2021 VentureBeat. .
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https://venturebeat.com/2021/06/11/facebooks-ai-can-copy-the-style-of-text-in-photos-from-a-single-word/
| 2021-06-11T00:00:00 |
en
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Facebook's AI can copy the style of text in photos from a single word | VentureBeat
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Facebook's AI can copy the style of text in photos from a single word | VentureBeat
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Facebook’s AI can copy the style of text in photos from a single word
Kyle Wiggers@Kyle_L_Wiggers June 11, 2021 10:59 AM
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A Facebook sign is seen at the second China International Import Expo (CIIE) in Shanghai, China November 6, 2019. Image Credit: REUTERS/Aly Song
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Facebook today introduced TextStyleBrush, an AI research project that can copy the style of text in a photo from just a single word. The company claims that TextStyleBrush, which can edit and replace arbitrary text in images, is the first “unsupervised” system of its kind that can recognize both typefaces and handwriting.
AI-generated images have been advancing at a breakneck pace, and they have obvious business applications, like photorealistic translation of languages in augmented reality (AR). (The AR market was anticipated to be worth $18.8 billion by the end of 2020, according to Statista.) But building a system that’s flexible enough to understand the nuances of text and handwriting is a difficult challenge because it means comprehending styles for not just typography and calligraphy but for transformations like rotations, curved text, deformations, background clutter, and image noise.
TextStyleBrush works similar to the way style brush tools work in word processors but for text aesthetics in images, according to Facebook. Unlike previous approaches, which define specific parameters such as typeface or target style supervision, it takes a more holistic training approach and disentangles the content of a text image from all aspects of its appearance.
Unsupervised learning
The “unsupervised” part of the system refers to unsupervised learning, the process by which the system was subjected to “unknown” data that had no previously defined categories or labels. TextStyleBrush had to teach itself to classify data, processing the unlabeled data to learn from its inherent structure.
As Facebook notes, systems like TextStyleBrusht typically involve training with annotated data that teach the system to classify individual pixels as either “foreground” or “background” objects. But it’s tough to apply this to images captured in the real world. Handwriting can be one pixel in width or less, and collecting high-quality training data requires labeling the foregrounds and backgrounds.
By contrast, given a detected “text box” containing a source style, TextStyleBrush renders new content in the style of the source text using a single sample. While it occasionally struggles with text written in metallic objects and characters in different colors, Facebook says TextStyleBrush proves it’s possible to build systems that can learn to transfer text aesthetics with more flexibility than was possible before.
“We hope this work will continue to lower barriers to photorealistic translation [and] creative self-expression,” Facebook said in a blog post. “While this technology is research, it can power a variety of useful applications in the future, like translating text in images to different languages, creating personalized messaging and captions, and maybe one day facilitating real-world translation of street signs using AR.”
The capabilities, methods, and results of the work on TextStyleBrush are available on Facebook’s developer portal. The company says it plans to submit it to a peer-reviewed journal in the future.VentureBeat
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Facebook's AI can copy the style of text in photos from a single word
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Facebooks AI copy style text photos single word VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Account Settings Log Out Become Member VentureBeat Home The Machine Making sense AI 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 Facebooks AI copy style text photos single word Kyle Wiggers June 11, 2021 10:59 AM Share Facebook Share Twitter Share LinkedIn A Facebook sign seen second China International Import Expo CIIE Shanghai, China November 6, 2019. Image Credit: REUTERSAly Song How protect game cheaters pirates They major impact reputation, cause players abandon, big bite line. Join Dean Takahashi learn defend game cheaters pirates. Now Elevate enterprise data technology strategy Transform 2021. Facebook today introduced TextStyleBrush, AI research project copy style text photo single word. The company claims TextStyleBrush, edit replace arbitrary text images, unsupervised kind recognize typefaces handwriting. AIgenerated images advancing breakneck pace, obvious business applications, like photorealistic translation languages augmented reality AR. The AR market anticipated worth 18.8 billion end 2020, according Statista. But building thats flexible understand nuances text handwriting difficult challenge means comprehending styles typography calligraphy transformations like rotations, curved text, deformations, background clutter, image noise. TextStyleBrush works similar way style brush tools work word processors text aesthetics images, according Facebook. Unlike previous approaches, define specific parameters typeface target style supervision, takes holistic training approach disentangles content text image aspects appearance. Unsupervised learning The unsupervised refers unsupervised learning, process subjected unknown data previously defined categories labels. TextStyleBrush teach classify data, processing unlabeled data learn inherent structure. As Facebook notes, systems like TextStyleBrusht typically involve training annotated data teach classify individual pixels foreground background objects. But tough apply images captured real world. Handwriting pixel width less, collecting highquality training data requires labeling foregrounds backgrounds. By contrast, given detected text box containing source style, TextStyleBrush renders new content style source text single sample. While occasionally struggles text written metallic objects characters different colors, Facebook says TextStyleBrush proves possible build systems learn transfer text aesthetics flexibility possible before. We hope work continue lower barriers photorealistic translation [and] creative selfexpression, Facebook said blog post. While technology research, power variety useful applications future, like translating text images different languages, creating personalized messaging captions, maybe day facilitating realworld translation street signs AR. The capabilities, methods, results work TextStyleBrush available Facebooks developer portal. The company says plans submit peerreviewed journal future.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 Transform 2021 Join worlds leading event applied AI enterprise business technology decisionmakers, presented 1 publisher AI coverage. Learn More Join forces OHUB VB include hire 1,000 BIPOC students SXSW Sponsor hire VentureBeat Home The Machine 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.
| 2,021 |
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https://venturebeat.com/2021/10/06/ecommerce-accelerator-patterns-machine-learning-and-ai-lifts-225m/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2021-10-06T00:00:00 |
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Ecommerce accelerator Pattern's machine learning and AI raises $225M | VentureBeat
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Ecommerce accelerator Pattern's machine learning and AI raises $225M | VentureBeat
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Ecommerce accelerator Pattern’s machine learning and AI raises $225M
Corinna Makris
October 6, 2021 1:34 PM
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Online shopping.Image Credit: Shutterstock
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Today, ecommerce accelerator Pattern announced its $225 million growth equity investment for its machine learning and AI-driven logistics.
This is not your grandma’s ecommerce. The old days of driving your ecommerce jalopy via targeted ads dependent on eye-catching clickbait graphics has become a rapidly expanding $6 trillion tech-driven global market. Organizations seeking to leverage a global marketplace often must hack together a variety of solutions for various digital channels. In the last year, aggregators like Thrasio, Perch, and Razer Group collectively raised more than $7.7 billion.
Pattern’s round is led by Knox Lane and includes full pro-rata participation from existing investors, bringing Pattern’s total pre-money valuation to $2 billion. “As ecommerce and digital marketplaces continue to rapidly evolve, we believe Pattern’s offerings will become increasingly attractive to prospective brand partners as they navigate the dynamic digital commerce landscape,” said Knox founding and managing partner John Bailey.
This investment will allow Pattern to further develop its machine learning technology and expand their global presence. Founded in 2013, Pattern has reported profits since its founding, and expects their revenue to surpass $1B in the next 12 months. Pattern boasts a 210% increase in employee headcount since 2018 with approximately 900 employees in 18 countries.
“We have strong conviction in Pattern’s comprehensive platform and global capabilities and look forward to working closely with the entire Pattern team to support their ongoing growth and leading global position,” Bailey said. Pattern is now Utah’s first female founded/co-founded unicorn, as well as one of the largest raises by an ecommerce accelerator.
“We’re thrilled that Knox Lane has joined our mission,” said Pattern Co-Founder and Chief Investment Officer Melanie Alder. “Their partnership and investment will allow us to further accelerate the technology and intelligence services that power our platform, while expanding our global offering.
As of this writing, Pattern’s clients — including Panasonic, Nestle, Pandora, Sorel, Black Diamond, Zebra, and Kong — are counting on its technology and services to produce results in more than 100 countries, on hundreds of global marketplaces (including Amazon, Walmart, Target, eBay, Google, Tmall, JD, and MercadoLibre), and other digital channels.
Brands that turn to ecommerce and marketplace acceleration platforms — with companies like Pattern, Spreetail, and Netrush — are looking to capture market share and maximize profits. What used to be a multi-platform field of many companies touting specialized categories is quickly growing into an enormous decentralized industry for warehouse and fulfillment, while each promotes its ecommerce acceleration platform.
And it might be the best possible way forward for brand recognition, online sales, and merchandise fulfillment. Allison Burch, national account manager at Paslode, a division of Illinois Tool Works, reported a 122% increase in Amazon revenue, saying that Pattern had been a huge factor in their online success. “Their reporting & breakdown of our biggest lost sales is nothing short of impressive.”VentureBeat
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Ecommerce accelerator Pattern's machine learning and AI raises $225M
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Ecommerce accelerator Patterns machine learning AI raises 225M 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 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 Ecommerce accelerator Patterns machine learning AI raises 225M Corinna Makris October 6, 2021 1:34 PM Share Facebook Share Twitter Share LinkedIn Online shopping.Image Credit: Shutterstock The Transform Technology Summits start October 13th LowCodeNo Code: Enabling Enterprise Agility. Today, ecommerce accelerator Pattern announced 225 million growth equity investment machine learning AIdriven logistics. This grandmas ecommerce. The old days driving ecommerce jalopy targeted ads dependent eyecatching clickbait graphics rapidly expanding 6 trillion techdriven global market. Organizations seeking leverage global marketplace hack variety solutions digital channels. In year, aggregators like Thrasio, Perch, Razer Group collectively raised 7.7 billion. Patterns round led Knox Lane includes prorata participation existing investors, bringing Patterns total premoney valuation 2 billion. As ecommerce digital marketplaces continue rapidly evolve, believe Patterns offerings increasingly attractive prospective brand partners navigate dynamic digital commerce landscape, said Knox founding managing partner John Bailey. This investment allow Pattern develop machine learning technology expand global presence. Founded 2013, Pattern reported profits founding, expects revenue surpass 1B 12 months. Pattern boasts 210 increase employee headcount 2018 approximately 900 employees 18 countries. We strong conviction Patterns comprehensive platform global capabilities look forward working closely entire Pattern team support ongoing growth leading global position, Bailey said. Pattern Utahs female foundedcofounded unicorn, largest raises ecommerce accelerator. Were thrilled Knox Lane joined mission, said Pattern CoFounder Chief Investment Officer Melanie Alder. Their partnership investment allow accelerate technology intelligence services power platform, expanding global offering. As writing, Patterns clients including Panasonic, Nestle, Pandora, Sorel, Black Diamond, Zebra, Kong counting technology services produce results 100 countries, hundreds global marketplaces including Amazon, Walmart, Target, eBay, Google, Tmall, JD, MercadoLibre, digital channels. Brands turn ecommerce marketplace acceleration platforms companies like Pattern, Spreetail, Netrush looking capture market share maximize profits. What multiplatform field companies touting specialized categories quickly growing enormous decentralized industry warehouse fulfillment, promotes ecommerce acceleration platform. And best possible way forward brand recognition, online sales, merchandise fulfillment. Allison Burch, national account manager Paslode, division Illinois Tool Works, reported 122 increase Amazon revenue, saying Pattern huge factor online success. Their reporting breakdown biggest lost sales short impressive.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.
| 2,021 |
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https://venturebeat.com/2021/11/08/mlops-platform-landing-ai-raises-57m-to-help-manufacturers-adopt-computer-vision/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
| 2021-11-08T00:00:00 |
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MLOps platform Landing AI raises $57M to help manufacturers adopt computer vision | VentureBeat
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MLOps platform Landing AI raises $57M to help manufacturers adopt computer vision | VentureBeat
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MLOps platform Landing AI raises $57M to help manufacturers adopt computer vision
Kyle Wiggers@Kyle_L_Wiggers
November 8, 2021 5:36 AM
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Palo Alto, California-based Landing AI, the AI startup led by Andrew Ng — the cofounder of Google Brain, one of Google’s AI research divisions — today announced that it raised $57 million in a series A funding round led by McRock Capital. In addition, Insight Partners, Taiwania Capital, Canadian Pension Plan Investment Board, Intel Capital, Samsung Catalyst Fund, Far Eastern Group’s DRIVE Catalyst, Walsin Lihwa, and AI Fund participated, bringing Landing AI’s total raised to around $100 million.
The increased use of AI in manufacturing is dovetailing with the broader corporate sector’s embrace of digitization. According to Google Cloud, 76% of manufacturing companies turned to data and analytics, cloud, and AI technologies due to the pandemic. As pandemic-induced challenges snarl the supply chain, including skilled labor shortages and transportation disruptions, the adoption of AI is likely to accelerate. Deloitte reports that 93% of companies believe that AI will be a pivotal component in driving growth and innovation in manufacturing.
Landing AI was founded in 2o17 by Ng, an adjunct professor at Stanford, formerly an associate professor and director of the university’s Stanford AI Lab. Landing AI’s flagship product is LandingLens, a platform that allows companies to build, iterate, and deploy AI-powered visual inspection solutions for manufacturing.
“AI will transform industries, but that means it needs to work with all kinds of companies, not just those with millions of data points to feed into AI engines. Manufacturing problems often have dozens or hundreds of data points. LandingLens is designed to work even on these small data problems,” Ng told VentureBeat via email. “In consumer internet, a single, monolithic AI system can serve billions of users. But in manufacturing, each manufacturing plant might need its own AI model. By enabling domain experts, rather than only AI experts, to build these AI systems, LandingLens is democratizing access to cutting-edge AI.”
Deep background in AI
Ng, who previously served as chief scientist at Baidu, is an active entrepreneur in the AI industry. After leaving Baidu, he launched an online curriculum of classes centered around machine learning called DeepLearning.ai, and soon after incorporated the company Landing AI.
While at Stanford, Ng started the Stanford Engineering Everywhere, a compendium of freely available online courses, which served as the foundation for Coursera. Ng is currently the chairman of AI cognitive behavioral therapy startup Woebot; sat on the board of Apple-owned driverless car company Drive.ai, and has written several guides and online training courses that aim to demystify AI for business executives.
Three years ago, Ng unveiled the AI Fund, a $175 million incubator that backs small teams of experts looking to solve key problems using AI. In a Medium post announcing the fund, which was an early investor in Landing AI, Ng wrote that he wants to “develop systematic and repeatable processes to initiate and pursue new AI opportunities.”
MLOps
Landing AI focuses on MLOps, the discipline involving collaboration between data scientists and IT professionals with the aim of productizing AI systems. A compound of “machine learning” and “information technology operations,” the market for such solutions could grow from a nascent $350 million to $4 billion by 2025, according to Cognilytica.
LandingLens provides low-code and no-code visual inspection tools that enable computer vision engineers to train, test, and deploy AI systems to edge devices like laptops. Users create a “defect book” and upload their media. After labeling the data, they can divide it into “training” and “validation” subsets to create and evaluate a model before deploying it into production.
Above: Landing AI’s development dashboard.
Labeled datasets, such as pictures annotated with captions, expose patterns to AI systems, in effect telling machines what to look for in future datasets. Training datasets are the samples used to create the model, while test datasets are used to measure their performance and accuracy.
“For instance … [Landing AI] can help manufacturers more readily identify defects by working with the small data sets the companies have … or spot patterns in a smattering of health care diagnoses,” a spokesperson from Landing AI explained to VentureBeat via email. “Overcoming the ‘big data’ bias to instead concentrate on ‘good data’ — the food for AI — will be critical to unlocking the power of AI in ever more industries.”
On its website, Landing AI touts LandingLens as a tailored solution for OEMs, system integrators, and distributors to evaluate model efficacy for a single app or as part of a hybrid solution, combined with traditional systems. In manufacturing, Landing AI supports uses cases like assembly inspection, processing monitoring, and root cause analysis. But the platform can also be used to develop models in industries like automotive, electronics, agriculture, retail — particularly for tasks involving glass and weld inspection, wafer and die inspection, automated picking and weeding, identifying patterns and trends to generate customer insights.
“A data-centric AI approach [like Landing AI’s] involves building AI systems with quality data — with a focus on ensuring that the data clearly conveys what the AI must learn,” Landing AI writes on its website. “Quality managers, subject-matter experts, and developers can work together during the development process to reach a consensus on defects and labels build a model to analyze results to make further optimizations … Additional benefits of data-centric AI include the ability for teams to develop consistent methods for collecting and labeling images and for training, optimizing, and updating the models … Landing AI’s AI deep learning workflow simplifies the development of automated machine solutions that identify, classify, and categorize defects while improving production yield.”
With upwards of 82% of firms saying that custom app development outside of IT is important, Gartner predicts that 65% of all apps — including AI-powered apps — will be created using low-code platforms by 2024. Another study reports that 85% of 500 engineering leads think that low-code will be commonplace within their organizations as soon as the end of this year, while one-third anticipates that the market for low- and no-code will climb to between $58.8 billion and $125.4 billion in 2027.
Landing AI competes with Iterative.ai, Comet, Domino Data Lab, and others in the burgeoning MLOps and machine learning lifecycle management segment. But investors like Insight Partners’ George Mathew believe that the startup’s platform offers enough to differentiate it from the rest of the pack. Landing AI’s customers include battery developer QuantumScape and life sciences company Ligand Pharmaceuticals, which says it’s using LandingLens to improve its cell screening technologies. Manufacturing giant Foxconn is another client — Ng says that Landing AI has been working with since June 2017 to “develop AI technologies, talent, and systems that build on the core competencies of the two companies.”
“Digital modernization of manufacturing is rapidly growing and is expected to reach $300 billion by 2023,” Mathew explained in a press release. “The opportunity and need for Landing AI is only exploding. It will unlock the untapped segment of targeted machine vision projects addressing quality, efficiency, and output. We’re looking forward to playing a role in the next phase of Landing AI’s exciting journey.”VentureBeat
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MLOps platform Landing AI raises $57M to help manufacturers adopt computer vision
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MLOps platform Landing AI raises 57M help manufacturers adopt vision VentureBeat Skip main content VentureBeat Home Events GamesBeat Jobs Low Code No Code Summit Account Settings Log Out Become Member VentureBeat Home The Machine Making sense AI 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 Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Contribute DataDecisionMakers Deals Jobs VB Lab About Join VentureBeat Community Free: Join VentureBeat Community access 3 premium posts unlimited videos month. Learn More Sign business email continue ticket purchase Please wait... Share Share Facebook Share Twitter Share LinkedIn VentureBeat Home Social Links Newsletters Events Profile MLOps platform Landing AI raises 57M help manufacturers adopt vision Kyle Wiggers November 8, 2021 5:36 AM Share Facebook Share Twitter Share LinkedIn Join gaming leaders online GamesBeat Summit Next upcoming November 910. Learn comes next. Palo Alto, Californiabased Landing AI, AI startup led Andrew Ng cofounder Google Brain, Googles AI research divisions today announced raised 57 million series A funding round led McRock Capital. In addition, Insight Partners, Taiwania Capital, Canadian Pension Plan Investment Board, Intel Capital, Samsung Catalyst Fund, Far Eastern Groups DRIVE Catalyst, Walsin Lihwa, AI Fund participated, bringing Landing AIs total raised 100 million. The increased use AI manufacturing dovetailing broader corporate sectors embrace digitization. According Google Cloud, 76 manufacturing companies turned data analytics, cloud, AI technologies pandemic. As pandemicinduced challenges snarl supply chain, including skilled labor shortages transportation disruptions, adoption AI likely accelerate. Deloitte reports 93 companies believe AI pivotal component driving growth innovation manufacturing. Landing AI founded 2o17 Ng, adjunct professor Stanford, associate professor director universitys Stanford AI Lab. Landing AIs flagship product LandingLens, platform allows companies build, iterate, deploy AIpowered visual inspection solutions manufacturing. AI transform industries, means needs work kinds companies, millions data points feed AI engines. Manufacturing problems dozens hundreds data points. LandingLens designed work small data problems, Ng told VentureBeat email. In consumer internet, single, monolithic AI serve billions users. But manufacturing, manufacturing plant need AI model. By enabling domain experts, AI experts, build AI systems, LandingLens democratizing access cuttingedge AI. Deep background AI Ng, previously served chief scientistat Baidu, active entrepreneur AI industry. After leaving Baidu, launched online curriculum classes centered machine learning called DeepLearning.ai, soon incorporated company Landing AI. While Stanford, Ng started Stanford Engineering Everywhere, compendium freely available online courses, served foundation Coursera. Ng currently chairman AI cognitive behavioral therapy startup Woebot; sat board Appleowned driverless car company Drive.ai, andhas written guides online training courses aim demystify AI business executives. Three years ago, Ng unveiled AI Fund, 175 million incubator backs small teams experts looking solve key problems AI. In Medium post announcing fund, early investor Landing AI, Ng wrote wants develop systematic repeatable processes initiate pursue new AI opportunities. MLOps Landing AI focuses MLOps, discipline involving collaboration data scientists IT professionals aim productizing AI systems. A compound machine learning information technology operations, market solutions grow nascent 350 million 4 billion 2025, according Cognilytica. LandingLens provides lowcode nocode visual inspection tools enable vision engineers train, test, deploy AI systems edge devices like laptops. Users create defect book upload media. After labeling data, divide training validation subsets create evaluate model deploying production. Above: Landing AIs development dashboard. Labeled datasets, pictures annotated captions, expose patterns AI systems, effect telling machines look future datasets. Training datasets samples create model, test datasets measure performance accuracy. For instance [Landing AI] help manufacturers readily identify defects working small data sets companies spot patterns smattering health care diagnoses, spokesperson Landing AI explained VentureBeat email. Overcoming big data bias instead concentrate good data food AI critical unlocking power AI industries. On website, Landing AI touts LandingLens tailored solution OEMs, integrators, distributors evaluate model efficacy single app hybrid solution, combined traditional systems. In manufacturing, Landing AI supports uses cases like assembly inspection, processing monitoring, root cause analysis. But platform develop models industries like automotive, electronics, agriculture, retail particularly tasks involving glass weld inspection, wafer die inspection, automated picking weeding, identifying patterns trends generate customer insights. A datacentric AI approach [like Landing AIs] involves building AI systems quality data focus ensuring data clearly conveys AI learn, Landing AI writes website. Quality managers, subjectmatter experts, developers work development process reach consensus defects labels build model analyze results optimizations Additional benefits datacentric AI include ability teams develop consistent methods collecting labeling images training, optimizing, updating models Landing AIs AI deep learning workflow simplifies development automated machine solutions identify, classify, categorize defects improving production yield. With upwards 82 firmssayingthat custom app development outside IT important, Gartnerpredicts 65 apps including AIpowered apps created lowcode platforms 2024. Another study reports 85 500 engineering leads think lowcode commonplace organizations soon end year, onethird anticipates market low nocode climbto 58.8 billion 125.4 billion 2027. Landing AI competes Iterative.ai, Comet, Domino Data Lab, burgeoning MLOps machine learning lifecycle management segment. But investors like Insight Partners George Mathew believe startups platform offers differentiate rest pack. Landing AIs customers include battery developer QuantumScape life sciences company Ligand Pharmaceuticals, says LandingLens improve cell screening technologies. Manufacturing giant Foxconn client Ng says Landing AI working June 2017 develop AI technologies, talent, systems build core competencies companies. Digital modernization manufacturing rapidly growing expected reach 300 billion 2023, Mathew explained press release. The opportunity need Landing AI exploding. It unlock untapped segment targeted machine vision projects addressing quality, efficiency, output. Were looking forward playing role phase Landing AIs exciting journey.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 Stabilize growth Join Trinet Dec. 1 provide tips avoid pitfalls toofast growth, bring focus consumer, recognize signs creating difficulties team, more. Transform 2021 Join worlds leading event applied AI enterprise business technology decisionmakers, presented 1 publisher AI coverage. Learn More Join forces OHUB VB include hire 1,000 BIPOC students SXSW Sponsor hire VentureBeat Home The Machine 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/ai/3-ways-emotion-ai-elevates-the-customer-experience/
| 2022-12-03T00:00:00 |
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3 ways emotion AI elevates the customer experience | VentureBeat
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3 ways emotion AI elevates the customer experience | VentureBeat
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3 ways emotion AI elevates the customer experience
Josh Feast, Cogito@joshuafeast
December 3, 2022 11:10 AM
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Technology serves as a way to bridge the gap between the physical and digital worlds. It connects us and opens up channels of communication in our personal and professional lives. Being able to infuse these conversations — no matter where or when they occur — with emotional intelligence and empathy has become a top priority for leaders eager to help employees become more effective and genuine communicators.
However, the human emotion that goes into communication is often a hidden variable, changing at any moment. In customer-facing roles, for example, a representative might become sad after hearing why a customer is seeking an insurance claim, or become stressed when a caller raises their voice. The emotional volatility surrounding customer experiences requires additional layers of support to meet evolving demands and increasing expectations.
The rise of emotion AI
Given how quickly emotion can change, it has become more important for technology innovations to understand universal human behaviors. Humans have evolved to share overt and sometimes subconscious non-lexical signals to indicate how conversations fare. By analyzing these behaviors, such as conversational pauses or speaking pace, voice-based emotion AI can reliably extract insights to support better interactions.
This form of emotion AI takes a radically different approach than facial recognition technologies, more accurately and ethically navigate AI usage. Customer-facing organizations and their leaders must raise their standards for emotion AI to focus on outcomes that boost the emotional intelligence of their workforce and provide support to create better customer experiences.
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Emotion AI is not a new concept or practice of technology. It has been around for years, but recently has gained momentum and attention as more companies explore how it can be applied to specific use cases. Here are three ways that customer-facing organizations can use voice-based emotion AI in the enterprise to elevate customer experience initiatives:
Increase self-awareness
Think of emotion AI as a social signal-processing machine that helps users perform better, especially when they’re not at their best. In the world of customer experience, representatives undergo many highs and lows. These interactions can be abrasive and draining, so offering real-time support makes all the difference.
These situations are similar to driving a car. Most individuals consistently perform driving fundamentals, but do not drive as well when tired from a night shift or long road trip. Tools like lane detectors can provide additional support, and emotion AI is the workplace equivalent. Not only can it offer real-time suggestions for better interactions with others, but the increase in self-awareness helps foster deeper emotional intelligence. Ultimately, when better emotional intelligence is established, more successful customer service interactions can occur.
Improve employee confidence and well-being
Customer experience is intrinsically tied to employee experience. In fact, 74% of consumers believe that unhappy or unsatisfied employees harm customer experiences. The problem is that showing up to work engaged and at our optimal efficiency every single day and in every instance is not a realistic expectation for employees.
Emotion AI can remove anxiety and self-doubt around performance by helping individuals through difficult experiences and encouraging them during positive ones. This added support and confidence promotes employee engagement and creates a space for employee wellbeing to shine. Any investment in improving work experiences or making workflows more frictionless is a reliable way to boost employee experiences and see ROI across multiple enterprise divisions.
Understand the customers’ state
Consider the driving metaphor again. While it’s vital to ensure a tired driver receives the aid they need to get home safely, the context makes the difference.
Call center representatives consistently multitask — conversing with customers while updating or identifying records, seeking to find a solution and managing inquiries promptly. Utilizing voice-based emotion AI to analyze the sentiment on both ends of the line can provide detailed insights needed to perform and connect. When emotion AI can identify customers who are “highly activated” with excitement or anger, agents are more equipped to take stock of the situation and find the best approach forward. Expanding situational awareness around customers’ mental states and analyzing the data can help enterprises consistently improve call outcomes.
Investing in emotion AI technology could not be more pertinent as we look to the future. Forrester’s 2022 U.S. Consumer Experience Index found that the country’s average CX score fell for the first time after years of consistent, positive growth. While a myriad of influences are at play, from supply chain shortages to the Great Resignation, the reality is that customers have grown to have higher expectations of the businesses they interact with, and it is no longer an option to underperform.
Finding opportunities to ignite emotion across the enterprise and use technology to improve service interaction is critical to customer satisfaction. It’s up to organizations to invest in technology that celebrates and improves emotional intelligence for continued success — and it starts with introducing technology like emotion AI.
Josh Feast is CEO and cofounder of Cogito.
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3 ways emotion AI elevates the customer experience
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3 ways emotion AI elevates customer experience VentureBeat Skip main content Events Market Us 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 Market Us Guest 3 ways emotion AI elevates customer experience Josh Feast, Cogito December 3, 2022 11:10 AM Share Facebook Share Twitter Share LinkedIn Image Credit: Andrey Suslov Getty Images Check ondemand sessions LowCodeNoCode Summit learn successfully innovate achieve efficiency upskilling scaling citizen developers. Watch now. Technology serves way bridge gap physical digital worlds. It connects opens channels communication personal professional lives. Being able infuse conversations matter occur emotional intelligence empathy priority leaders eager help employees effective genuine communicators. However, human emotion goes communication hidden variable, changing moment. In customerfacing roles, example, representative sad hearing customer seeking insurance claim, stressed caller raises voice. The emotional volatility surrounding customer experiences requires additional layers support meet evolving demands increasing expectations. The rise emotion AI Given quickly emotion change, important technology innovations understand universal human behaviors. Humans evolved share overt subconscious nonlexical signals indicate conversations fare. By analyzing behaviors, conversational pauses speaking pace, voicebased emotion AI reliably extract insights support better interactions. This form emotion AI takes radically different approach facial recognition technologies, accurately ethically navigate AI usage. Customerfacing organizations leaders raise standards emotion AI focus outcomes boost emotional intelligence workforce provide support create better customer experiences. Event Intelligent Security Summit Learn critical role AI ML cybersecurity industry specific case studies December 8. free pass today. Now Emotion AI new concept practice technology. It years, recently gained momentum attention companies explore applied specific use cases. Here ways customerfacing organizations use voicebased emotion AI enterprise elevate customer experience initiatives: rease selfawareness Think emotion AI social signalprocessing machine helps users perform better, especially theyre best. In world customer experience, representatives undergo highs lows. These interactions abrasive draining, offering realtime support makes difference. These situations similar driving car. Most individuals consistently perform driving fundamentals, drive tired night shift long road trip. Tools like lane detectors provide additional support, emotion AI workplace equivalent. Not offer realtime suggestions better interactions others, increase selfawareness helps foster deeper emotional intelligence. Ultimately, better emotional intelligence established, successful customer service interactions occur. Improve employee confidence wellbeing Customer experience intrinsically tied employee experience. In fact, 74 consumers believe unhappy unsatisfied employees harm customer experiences. The problem showing work engaged optimal efficiency single day instance realistic expectation employees. Emotion AI remove anxiety selfdoubt performance helping individuals difficult experiences encouraging positive ones. This added support confidence promotes employee engagement creates space employee wellbeing shine. Any investment improving work experiences making workflows frictionless reliable way boost employee experiences ROI multiple enterprise divisions. Understand customers state Consider driving metaphor again. While vital ensure tired driver receives aid need home safely, context makes difference. Call center representatives consistently multitask conversing customers updating identifying records, seeking solution managing inquiries promptly. Utilizing voicebased emotion AI analyze sentiment ends line provide detailed insights needed perform connect. When emotion AI identify customers highly activated excitement anger, agents equipped stock situation best approach forward. Expanding situational awareness customers mental states analyzing data help enterprises consistently improve outcomes. Investing emotion AI technology pertinent look future. Forresters 2022 U.S. Consumer Experience Index countrys average CX score fell time years consistent, positive growth. While myriad influences play, supply chain shortages Great Resignation, reality customers grown higher expectations businesses interact with, longer option underperform. Finding opportunities ignite emotion enterprise use technology improve service interaction critical customer satisfaction. Its organizations invest technology celebrates improves emotional intelligence continued success starts introducing technology like emotion AI. Josh Feast CEO cofounder Cogito. 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 Intelligent Security Summit 2022 Join virtually December 8 hear insights experts learn importance cybersecurity organization. Here 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 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/gong-introduces-call-spotlight-a-generative-ai-summary-of-customer-calls-for-revenue-teams/
| 2023-08-31T00:00:00 |
en
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Gong Call Spotlight uses AI to summarize customer calls | VentureBeat
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Gong Call Spotlight uses AI to summarize customer calls | VentureBeat
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Gong’s new Call Spotlight uses AI to summarize customer calls for revenue teams
Carl Franzen@carlfranzen
August 31, 2023 5:00 AM
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Gong, the nine-year-old startup focused on making technology that streamlines workflows for revenue teams across sectors, made news earlier this summer by introducing new generative AI powered features to its customer conversation analysis platform, including gen AI messaging suggestions.
Now, it’s going a step further: the company today announced exclusively with VentureBeat that it is introducing a new feature, Call Spotlight, accessible for all of its 4,000 platform customers globally and counting at no extra charge.
The new AI-driven tool (powered by a mix of proprietary Gong AI models and GPT-4 in Microsoft Azure OpenAI Service) automatically transcribes and analyzes a revenue team member’s conversation with a customer over video call, audio call, mobile or desktop, even emails and text correspondence — any communications the revenue team member wants — and auto-generates a summary and key points for the revenue team to act on.
Increased AI productivity with a human touch
For Gong’s largely business-to-business (B2B) focused clients, who spend lots of time prospecting customers of their own and managing customer relationships through direct correspondence, the tool is poised to offer increased productivity and efficienc.
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At the same time, Gong hopes it allows revenue teams and salespeople even more time to forge and maintain the unique customer relationships that are key to landing business.
“You become more efficient” using Call Spotlight, said Gong chief product officer and co-founder Eilon Reshef, in a video call with VentureBeat. “You don’t need to review the whole text. You don’t need to listen to the whole call. You don’t need to take notes. You don’t need to do anything manually.”
Just enable Call Spotlight through Gong’s platform — there are modes that will prompt the other parties in any given call to agree to being recorded and analyzed by Gong’s AI — and it will take care of it for you.
Unparalleled accuracy
Gong says that Call Spotlight is unparalleled in its accuracy, offering sales insights that are twice as reliable as generic solutions available on the market such as other consumer large language models (LLMs), having been trained on billions of sales interactions that Gong sourced from customers.
“What’s unique about Gong is that because we train the system based on revenue conversations, we get much more accurate results,” Reshef told VentureBeat.
This includes a more accurate AI interpreter of specific company and product names — something other auto-transcription AI services often struggle to handle, in VentureBeat’s testing, defaulting to generic words instead of trademarks.
Ask the AI anything
One of Call Spotlight’s standout features is its unique “Ask Anything” function—the first of its kind tailored specifically for sales. Think of it as your personal sales coach, ready to answer any question you throw at it.
Whether it’s seeking guidance on sealing a deal or understanding why a particular conversation matters to a regional account executive, Ask Anything delivers precise, context-rich advice.
For instance, after a call, a sales rep might wonder, “What can I do to up my game for closing this deal?” Ask Anything churns out actionable steps based on its deep learning of a specific customer interaction, with context pulled from Gong’s extensive sales data.
Similarly, if a manager is keen to know whether competitors were name-dropped during a conversation, the tool can sift through the call details and flag any potential threats, allowing for targeted coaching strategies.
Call Spotlight’s key features
In addition to the Ask Anything feature, Call Spotlight also includes:
Highlights: This feature boils down the crux of a conversation into easy-to-digest bullet points and suggests next steps. It’s like a cheat sheet for your sales calls, built on Gong’s in-house AI models.
Outline: Imagine having your call topics neatly filed and categorized, almost like chapters in a book. It automatically organizes topics discussed in a call to make it easier for the revenue team member or the entire team to grasp the customer’s needs and concerns.
Call Briefs: These are condensed summaries of conversations that Gong says allows reps and managers to catch up on previous talks up to 80% faster.
Automated CRM Updates: In an age where time is money, automated CRM entries save reps from the drudgery of manual data entry, allowing them to focus on what they do best—selling.
Gong customers can also share any of these AI-generated products with their colleagues and managers as needed, and also push data to their customer relationship management (CRM) software of choice for record keeping — or not. It’s all up to the customer to decide what to do with their gen AI work products.
Security remains paramount
Furthermore, Gong knows that security is top-of-mind for many of its customers, and seeks to reassure them that safeguarding their data is of paramount importance while introducing all of these new generative AI features.
“One of the critical elements for us is security,” said Reshef. “We have some of the Fortune top 50 companies as customers, and they are very concerned about security and unlikely to allow us to sell their data outside the company. So we hire Gong employees and do everything in house.”
Gong noted that it has been recording calls since 2016, and is GDPR compliant and has stayed up-to-date on all relevant regulations in the years since.
By marrying highly accurate, context-specific advice with a range of other features and security, Gong hopes that Call Spotlight will be a game-changer for the revenue teams that try it out.
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Gong Call Spotlight uses AI to summarize customer calls
|
Gong Call Spotlight uses AI summarize customer calls 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 Gongs new Call Spotlight uses AI summarize customer calls revenue teams Carl Franzen August 31, 2023 5:00 AM Share Facebook Share Twitter Share LinkedIn Credit: VentureBeat Midjourney Head ondemand library view sessions VB Transform 2023. Here Gong, nineyearold startup focused making technology streamlines workflows revenue teams sectors, news earlier summer introducing new generative AI powered features customer conversation analysis platform, including gen AI messaging suggestions. Now, going step further: company today announced exclusively VentureBeat introducing new feature, Call Spotlight, accessible 4,000 platform customers globally counting extra charge. The new AIdriven tool powered mix proprietary Gong AI models GPT4 Microsoft Azure OpenAI Service automatically transcribes analyzes revenue team members conversation customer video call, audio call, mobile desktop, emails text correspondence communications revenue team member wants autogenerates summary key points revenue team act on. reased AI productivity human touch For Gongs largely businesstobusiness B2B focused clients, spend lots time prospecting customers managing customer relationships direct correspondence, tool poised offer increased productivity efficienc. Event VB Transform 2023 OnDemand Did miss session VB Transform 2023? access ondemand library featured sessions. Now At time, Gong hopes allows revenue teams salespeople time forge maintain unique customer relationships key landing business. You efficient Call Spotlight, said Gong chief product officer cofounder Eilon Reshef, video VentureBeat. You dont need review text. You dont need listen call. You dont need notes. You dont need manually. Just enable Call Spotlight Gongs platform modes prompt parties given agree recorded analyzed Gongs AI care you. Unparalleled accuracy Gong says Call Spotlight unparalleled accuracy, offering sales insights twice reliable generic solutions available market consumer large language models LLMs, trained billions sales interactions Gong sourced customers. Whats unique Gong train based revenue conversations, accurate results, Reshef told VentureBeat. This includes accurate AI interpreter specific company product names autotranscription AI services struggle handle, VentureBeats testing, defaulting generic words instead trademarks. Ask AI One Call Spotlights standout features unique Ask Anything functionthe kind tailored specifically sales. Think personal sales coach, ready answer question throw it. Whether seeking guidance sealing deal understanding particular conversation matters regional account executive, Ask Anything delivers precise, contextrich advice. For instance, call, sales rep wonder, What I game closing deal? Ask Anything churns actionable steps based deep learning specific customer interaction, context pulled Gongs extensive sales data. Similarly, manager keen know competitors namedropped conversation, tool sift details flag potential threats, allowing targeted coaching strategies. Call Spotlights key features In addition Ask Anything feature, Call Spotlight includes: Highlights: This feature boils crux conversation easytodigest bullet points suggests steps. Its like cheat sheet sales calls, built Gongs inhouse AI models. Outline: Imagine topics neatly filed categorized, like chapters book. It automatically organizes topics discussed easier revenue team member entire team grasp customers needs concerns. Call Briefs: These condensed summaries conversations Gong says allows reps managers catch previous talks 80 faster. Automated CRM Updates: In age time money, automated CRM entries save reps drudgery manual data entry, allowing focus bestselling. Gong customers share AIgenerated products colleagues managers needed, push data customer relationship management CRM software choice record keeping not. Its customer decide gen AI work products. Security remains paramount Furthermore, Gong knows security topofmind customers, seeks reassure safeguarding data paramount importance introducing new generative AI features. One critical elements security, said Reshef. We Fortune 50 companies customers, concerned security unlikely allow sell data outside company. So hire Gong employees house. Gong noted recording calls 2016, GDPR compliant stayed uptodate relevant regulations years since. By marrying highly accurate, contextspecific advice range features security, Gong hopes Call Spotlight gamechanger revenue teams try out. 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 | 198,008 |
https://venturebeat.com/ai/how-self-supervised-learning-may-boost-medical-ai-progress/
| 2022-08-30T00:00:00 |
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How self-supervised learning may boost medical AI progress | VentureBeat
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How self-supervised learning may boost medical AI progress | VentureBeat
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How self-supervised learning may boost medical AI progress
Sharon Goldman@sharongoldman
August 30, 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.
Self-supervised learning has been a fast-rising trend in artificial intelligence (AI) over the past couple of years, as researchers seek to take advantage of large-scale unannotated data to develop better machine learning models.
In 2020, Yann Lecun, Meta’s chief AI scientist, said supervised learning, which entails training an AI model on a labeled data set, would play a diminishing role as supervised learning came into wider use.
“Most of what we learn as humans and most of what animals learn is in a self-supervised mode, not a reinforcement mode,” he told a virtual session audience during the International Conference on Learning Representation (ICLR) 2020. And in a 2021 Meta blog post, LeCun explained that self-supervised learning “obtains supervisory signals from the data itself, often leveraging the underlying structure in the data.” Because of that, it can make use of a “variety of supervisory signals across co-occurring modalities (e.g., video and audio) and across large datasets — all without relying on labels.”
Growing use of self-supervised learning in medicine
Those advantages have led to the notable growing use of self-supervised learning in healthcare and medicine, thanks to the vast amount of unstructured data available in that industry – including electronic health records and datasets of medical images, bioelectrical signals, and sequences and structures of genes and proteins. Previously, the development of medical applications of machine learning had required manual annotation of data, often by medical experts.
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This was a bottleneck to progress, said Pranav Rajpurkar, assistant professor of biomedical informatics at Harvard Medical School. Rajpurkar leads a research lab focused on deep learning for label-efficient medical image interpretation, clinician-AI collaboration design, and open benchmark curation.
“We’ve seen a lot of exciting advancements with our stable data sets,” he told VentureBeat.
But a “paradigm shift” was necessary to go from 100 algorithms that do very specific medical tasks to the thousands needed without going about a laborious, intensive process. That is where self-supervised learning, with its ability to predict any unobserved or hidden part of an input from any observed or unhidden part of an input, has been a game-changer.
Highlighting self-supervised learning
In a recent review paper in Nature Biomedical Engineering, Rajpurkar, along with cardiologist, scientist and author Eric Topol and student researcher Rayan Krishnan, highlighted self-supervised methods and models used in medicine and healthcare, as well as and promising applications of self-supervised learning for the development of models leveraging multimodal datasets, and the challenges in collecting unbiased data for their training.
The paper, Rajpurkar said, was aimed at “communicating the opportunities and challenges that underlie this the shift in paradigm we’re going to see over the upcoming years in many applications of AI, most certainly including medicine.”
With self-supervised learning, Rajpurkar explained that he, “… can learn about a certain data source, whether that’s a medical image or signal, by using unlabeled data. That allows me a great starting point to do any task I care about within medicine and beyond without actually collecting large stable datasets.”
Big achievements unlocked
In 2019 and 2020, Rajpurkar’s lab saw some of the first big achievements that self-supervised learning was unlocking for interpreting medical images, including chest X-rays.
“With a few modifications to algorithms that helped us understand natural images, we reduced the number of chest X-rays that had to be seen with a particular disease before we could start to do well at identifying that disease,” he said.
Rajpurkar and his colleagues applied similar principles to electrocardiograms.
“We showed that with some ways of applying self-supervised learning, in combination with a bit of physiological insights in the algorithm, we were able to leverage a lot of unlabeled data,” he said.
Since then, he has also applied self-supervised learning to lung and heart sound data.
“What’s been very exciting about deep learning as a whole, but especially in the recent year or two, is that we’ve been able to transfer our methods really well across modalities,” Rajpurkar said.
Self-supervised learning across modalities
For example, another soon-to-be-published paper showed that even with zero-annotated examples of diseases on chest X-rays, Rajpurkar’s team was actually able to detect diseases on chest X-rays and classify them nearly at the level of radiologists across a variety of pathologies.
“We basically learned from images paired with radiology reports that were dictated at the time of their interpretation, and combined these two modalities to create a model that could be applied in a zero-shot way – meaning labeled samples were not necessary to be able to classify different diseases,” he said.
Whether you’re working with proteins or images or text, the process is borrowing from the same sort of set of frameworks and methods and terminologies in a way that is more unified than it was even two or three years ago.
“That’s exciting for the field because it means that a set of advances on a general set of tools helps everybody working across and on these very specific modalities,” he said.
In medical image interpretation, which has been Rajpurkar’s research focus for many years, this is “absolutely revolutionary,” he said. “Rather than thinking of solving problems one at a time and iterat[ing] this process 1,000 times, I can solve a much larger set of problems all at once.”
Momentum to apply methods
These possibilities have created momentum toward developing and applying self-supervised learning methods in medicine and healthcare, and likely for other industries that also have the ability to collect data at scale, said Rajpurkar, especially those industries that don’t have the sensitivity associated with medical data.
Going forward, he adds that he is interested in getting closer to solving the full swath of potential tasks that a medical expert does.
“The goal has always been to enable intelligent systems that can increase the accessibility of medicine and healthcare to a large audience,” he said, adding that what excites him is building solutions that don’t just solve one narrow problem: “We’re working toward a world with models that combine different signals so physicians or patients are able to make intelligent decisions about diagnoses and treatments.”
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How selfsupervised learning boost medical AI progress VentureBeat Skip main content VentureBeat Home Events GamesBeat Data Pipeline The MetaBeat Event Account Settings Log Out Become Member VentureBeat Home The Machine Making sense AI 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 How selfsupervised learning boost medical AI progress Sharon Goldman August 30, 2022 9:05 AM Share Facebook Share Twitter Share LinkedIn Were unable attend Transform 2022? Check summit sessions ondemand library Watch here. Selfsupervised learning fastrising trend artificial intelligence AI past couple years, researchers seek advantage largescale unannotated data develop better machine learning models. In 2020, Yann Lecun, Metas chief AI scientist, said supervised learning, entails training AI model labeled data set, play diminishing role supervised learning came wider use. Most learn humans animals learn selfsupervised mode, reinforcement mode, told virtual session audience International Conference Learning Representation ICLR 2020. And 2021 Meta blog post, LeCun explained selfsupervised learning obtains supervisory signals data itself, leveraging underlying structure data. Because that, use variety supervisory signals cooccurring modalities e.g., video audio large datasets relying labels. Growing use selfsupervised learning medicine Those advantages led notable growing use selfsupervised learning healthcare medicine, thanks vast unstructured data available industry including electronic health records datasets medical images, bioelectrical signals, sequences structures genes proteins. Previously, development medical applications machine learning required manual annotation data, medical experts. Event MetaBeat 2022 MetaBeat bring thought leaders guidance metaverse technology transform way industries communicate business October 4 San Francisco, CA. Here This bottleneck progress, said Pranav Rajpurkar, assistant professor biomedical informatics Harvard Medical School. Rajpurkar leads research lab focused deep learning labelefficient medical image interpretation, clinicianAI collaboration design, open benchmark curation. Weve seen lot exciting advancements stable data sets, told VentureBeat. But paradigm shift necessary 100 algorithms specific medical tasks thousands needed going laborious, intensive process. That selfsupervised learning, ability predict unobserved hidden input observed unhidden input, gamechanger. Highlighting selfsupervised learning In recent review paper Nature Biomedical Engineering, Rajpurkar, cardiologist, scientist author Eric Topol student researcher Rayan Krishnan, highlighted selfsupervised methods models medicine healthcare, promising applications selfsupervised learning development models leveraging multimodal datasets, challenges collecting unbiased data training. The paper, Rajpurkar said, aimed communicating opportunities challenges underlie shift paradigm going upcoming years applications AI, certainly including medicine. With selfsupervised learning, Rajpurkar explained he, learn certain data source, thats medical image signal, unlabeled data. That allows great starting point task I care medicine actually collecting large stable datasets. Big achievements unlocked In 2019 2020, Rajpurkars lab saw big achievements selfsupervised learning unlocking interpreting medical images, including chest Xrays. With modifications algorithms helped understand natural images, reduced number chest Xrays seen particular disease start identifying disease, said. Rajpurkar colleagues applied similar principles electrocardiograms. We showed ways applying selfsupervised learning, combination bit physiological insights algorithm, able leverage lot unlabeled data, said. Since then, applied selfsupervised learning lung heart sound data. Whats exciting deep learning whole, especially recent year two, weve able transfer methods modalities, Rajpurkar said. Selfsupervised learning modalities For example, soontobepublished paper showed zeroannotated examples diseases chest Xrays, Rajpurkars team actually able detect diseases chest Xrays classify nearly level radiologists variety pathologies. We basically learned images paired radiology reports dictated time interpretation, combined modalities create model applied zeroshot way meaning labeled samples necessary able classify different diseases, said. Whether youre working proteins images text, process borrowing sort set frameworks methods terminologies way unified years ago. Thats exciting field means set advances general set tools helps everybody working specific modalities, said. In medical image interpretation, Rajpurkars research focus years, absolutely revolutionary, said.Rather thinking solving problems time iterat[ing] process 1,000 times, I solve larger set problems once. Momentum apply methods These possibilities created momentum developing applying selfsupervised learning methods medicine healthcare, likely industries ability collect data scale, said Rajpurkar, especially industries dont sensitivity associated medical data. Going forward, adds interested getting closer solving swath potential tasks medical expert does. The goal enable intelligent systems increase accessibility medicine healthcare large audience, said, adding excites building solutions dont solve narrow problem: Were working world models combine different signals physicians patients able intelligent decisions diagnoses treatments. VentureBeats mission digital town square technical decisionmakers gain knowledge transformative enterprise technology transact. Discover Briefings. MetaBeat 2022 Join metaverse thought leaders San Francisco October 4 learn metaverse technology transform way industries communicate business. Here Transform 2022 OnDemand Did miss session Transform 2022? Head ondemand library featured sessions. Watch Now Join forces OHUB VB include hire 1,000 BIPOC students SXSW Sponsor hire 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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HomeTech NewsChatGPT’s new personalization feature could save users a lot of time
ChatGPT’s new personalization feature could save users a lot of time
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chatgpt custom instructions 2 760x380.jpg
- Advertisement -
Enlarge / An AI-generated image of a chatbot in front of library shelves.
Benj Edwards / Stable Diffusion
On Thursday, OpenAI announced a new beta feature for ChatGPT that allows users to provide custom instructions that the chatbot will consider with every submission. The goal is to prevent users from having to repeat common instructions between chat sessions.- Advertisement -
The feature is currently available in beta for ChatGPT Plus subscription members, but OpenAI says it will extend availability to all users over the coming weeks. As of this writing, the feature is not yet available in the UK and EU.
The Custom Instructions feature functions by letting users set their individual preferences or requirements that the AI model will then consider when generating responses. Instead of starting each conversation anew, ChatGPT can now be instructed to remember specific user preferences across multiple interactions.
Performance problems reported after the latest Windows 11 update
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afterlatestperformanceproblemsreportedupdatewindows
In its introductory blog post, OpenAI gave examples of how someone might use the new feature: “For example, a teacher crafting a lesson plan no longer has to repeat that they’re teaching 3rd grade science. A developer preferring efficient code in a language that’s not Python—they can say it once, and it’s understood. Grocery shopping for a big family becomes easier, with the model accounting for 6 servings in the grocery list.”
Enlarge / For now, Custom Instructions lives in the Settings > Beta Features menu. If you don’t see the option, your account or region does not support it yet.
Ars Technica- Advertisement -
If you’d like to try it out, you’ll need to do some digging in Settings. Web users of ChatGPT should click on their name in the lower-left corner, navigate to “Settings,” then “Beta Features,” and click the switch beside “Custom Instructions.” A new “Custom Instructions” option will appear in the menu going forward. For those using iOS, tap “Settings,” then “New Features,” and toggle “Custom Instructions” to the on position.
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If you don’t see the option in your ChatGPT settings, then your account region hasn’t received access to the feature yet.
After activating the Custom Instructions feature and clicking its option in Settings, you’ll see two text input fields: One asks what ChatGPT should know about you, and the other asks, “How would you like ChatGPT to respond?”- Advertisement -
Enlarge / A screenshot of two “Custom Instructions” input fields in the web version of ChatGPT.
Ars Technica
OpenAI says the first input field is designed to collect contextual information about the user that can help the model provide better responses. It suggests typing information related to the user’s profession, preferences, or any other information that would be useful for the model. For instance, “I work on science education programs for third-grade students.”
The second field gathers specifics on how users would like the AI model to respond. This allows users to guide the model’s output style or format. For example, users could instruct ChatGPT to present the information in a table format, outlining the pros and cons of options in a result.
In testing the feature, Ars found that the Custom Instructions feature does flavor the results in a similar way to providing the same information in a prompt. In that way, it seems to work as a prompt extension, although we are unsure if the characters (1,500 in each prompt) count against the overall context window. The context window is currently limited to 4,096 tokens (fragments of a word), and it determines the overall short-term memory, so to speak, of the current conversation. We’ve reached out to OpenAI for clarification.
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Custom Instructions also works with plugins, says OpenAI. For example, “if you specify the city you live in within your instructions and use a plugin that helps you make restaurant reservations, the model might include your city when it calls the plugin.” But the company also warns in the ChatGPT interface that custom instructions, like prompts, are shared with plugin providers.
The company says that while custom instructions will be applied to all future conversations once enabled, the new feature may not work perfectly during the beta test. ChatGPT might overlook instructions or apply them in contexts that were not intended. For now, OpenAI hopes to collect feedback on the feature from users during the beta period.
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ChatGPT’s new personalization feature could save users a lot of time
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ChatGPTs new personalization feature save users lot time 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 NewsChatGPTs new personalization feature save users lot time ChatGPTs new personalization feature save users lot time Tech News FacebookTwitterPinterestWhatsApp chatgpt custom instructions 2 760x380.jpg Advertisement Enlarge An AIgenerated image chatbot library shelves. Benj Edwards Stable Diffusion On Thursday, OpenAI announced new beta feature ChatGPT allows users provide custom instructions chatbot consider submission. The goal prevent users repeat common instructions chat sessions. Advertisement The feature currently available beta ChatGPT Plus subscription members, OpenAI says extend availability users coming weeks. As writing, feature available UK EU. The Custom Instructions feature functions letting users set individual preferences requirements AI model consider generating responses. Instead starting conversation anew, ChatGPT instructed remember specific user preferences multiple interactions. Performance problems reported latest Windows 11 update TAGS afterlatestperformanceproblemsreportedupdatewindows In introductory blog post, OpenAI gave examples use new feature: For example, teacher crafting lesson plan longer repeat theyre teaching 3rd grade science. A developer preferring efficient code language thats Pythonthey once, understood. Grocery shopping big family easier, model accounting 6 servings grocery list. Enlarge For now, Custom Instructions lives Settings > Beta Features menu. If dont option, account region support yet. Ars Technica Advertisement If youd like try out, youll need digging Settings. Web users ChatGPT click lowerleft corner, navigate Settings, Beta Features, click switch Custom Instructions. A new Custom Instructions option appear menu going forward. For iOS, tap Settings, New Features, toggle Custom Instructions position. Advertisement If dont option ChatGPT settings, account region received access feature yet. After activating Custom Instructions feature clicking option Settings, youll text input fields: One asks ChatGPT know you, asks, How like ChatGPT respond? Advertisement Enlarge A screenshot Custom Instructions input fields web version ChatGPT. Ars Technica OpenAI says input field designed collect contextual information user help model provide better responses. It suggests typing information related users profession, preferences, information useful model. For instance, I work science education programs thirdgrade students. The second field gathers specifics users like AI model respond. This allows users guide models output style format. For example, users instruct ChatGPT present information table format, outlining pros cons options result. In testing feature, Ars Custom Instructions feature flavor results similar way providing information prompt. In way, work prompt extension, unsure characters 1,500 prompt count overall context window. The context window currently limited 4,096 tokens fragments word, determines overall shortterm memory, speak, current conversation. Weve reached OpenAI clarification. Vivo V29 Lite Snapdragon 695 specifications confirmed certification TAGS Custom Instructions works plugins, says OpenAI. For example, specify city live instructions use plugin helps restaurant reservations, model include city calls plugin. But company warns ChatGPT interface custom instructions, like prompts, shared plugin providers. The company says custom instructions applied future conversations enabled, new feature work perfectly beta test. ChatGPT overlook instructions apply contexts intended. For now, OpenAI hopes collect feedback feature users beta period. Advertisement Latest articles Tech News Wordle Today 773: Wordle answer hints August 1 We solution Wordle 773 August 1, some... Tech News How Apple AirTag Twitter saved cyclists 8,000 bike In brief: We hear lot negative stories people Apple AirTag... 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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https://wealthofgeeks.com/game-of-thrones-creator-george-r-r-martin-and-other-authors-sue-openai-for-copyright-infringement/
| 2023-09-21T00:00:00 |
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'Game of Thrones' Creator George R.R. Martin and Other Authors Sue OpenAI for Copyright Infringement | Wealth of Geeks
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'Game of Thrones' Creator George R.R. Martin and Other Authors Sue OpenAI for Copyright Infringement | Wealth of Geeks
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‘Game of Thrones’ Creator George R.R. Martin and Other Authors Sue OpenAI for Copyright Infringement
September 21, 2023 by Robert DeSalvo
Share on X (Twitter)
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Share on LinkedIn <use href="#<svg width="1em" height="1em" viewBox="0 0 32 32" class="scriptlesssocialsharing__icon flipboard" fill="currentcolor" aria-hidden="true" focusable="false" role="img">
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<path d="M24.997 13.001h-5.998v5.998h-5.998v5.998h-5.998v-17.995h17.995zM1.004 1.004v29.991h29.991v-29.991z"></path>
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As reported by Associated Press, the authors allege “flagrant and harmful infringements of plaintiffs’ registered copyrights” and describe OpenAI's ChatGPT software as a “massive commercial enterprise” reliant upon “systematic theft on a mass scale.”
“It is imperative that we stop this theft in its tracks or we will destroy our incredible literary culture, which feeds many other creative industries in the U.S.,” Authors Guild CEO Mary Rasenberger says in a statement. “Great books are generally written by those who spend their careers and, indeed, their lives, learning and perfecting their crafts. To preserve our literature, authors must have the ability to control if and how their works are used by generative AI.”
The Lawsuit Claims That Someone Used ChatGPT to Generate a Prequel to George R.R. Martin's Game of Thrones
Image Credit: HBO.
The lawsuit cites specific searches for each author. One search for George R.R. Martin alleges that ChatGPT generated “an infringing, unauthorized, and detailed outline for a prequel” to Game of Thrones titled A Dawn of Direwolves, using “the same characters from Martin’s existing books in the series A Song of Ice and Fire.”
An unnamed OpenAI spokesperson — perhaps an AI itself — said in a statement that the company respects “the rights of writers and authors, and believe they should benefit from AI technology.” The statement continues:
“We’re having productive conversations with many creators around the world, including the Authors Guild, and have been working cooperatively to understand and discuss their concerns about AI. We’re optimistic we will continue to find mutually beneficial ways to work together to help people utilize new technology in a rich content ecosystem.”
In a similar lawsuit earlier this month, authors Michael Chabon, David Henry Hwang, and others sued OpenAI for “clear infringement of intellectual property.” In August, Open AI asked a federal judge to dismiss lawsuits by comedian Sarah Silverman and author Paul Tremblay, saying that the claims “misconceive the scope of copyright, failing to take into account the limitations and exceptions (including fair use) that properly leave room for innovations like the large language models now at the forefront of artificial intelligence.”
Other authors listed in the Authors Guild lawsuit involving Martin include David Baldacci, Sylvia Day, Jonathan Franzen, and Elin Hilderbrand.
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'Game of Thrones' Creator George R.R. Martin and Other Authors Sue OpenAI for Copyright Infringement
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Game Thrones Creator George R.R. Martin Other Authors Sue OpenAI Infringement Wealth Geeks Skip content Wealth Geeks Wealth Geeks MENU Dollars Cents Make Save Debt, Credit, Loans Grow Protect Retire Real Estate Financial Literacy Careers For Geeks Anime Comics Books Movies TV Movie Reviews TV Entertainment Interviews Video Games Tech Reviews News Fandoms DC Comics Marvel Star Wars Pokmon iGaming iGaming Australia iGaming India iGaming Italy iGaming Indonesia iGaming Canada iGaming Nigeria iGaming South Africa iGaming U.K. Live Smart Travel Autos Food Lifestyle Weddings Sports Trending Topics MENU Dollars Cents Make Save Debt, Credit, Loans Grow Protect Retire Real Estate Financial Literacy Careers For Geeks Anime Comics Books Movies TV Movie Reviews TV Entertainment Interviews Video Games Tech Reviews News Fandoms DC Comics Marvel Star Wars Pokmon iGaming iGaming Australia iGaming India iGaming Italy iGaming Indonesia iGaming Canada iGaming Nigeria iGaming South Africa iGaming U.K. Live Smart Travel Autos Food Lifestyle Weddings Sports Trending Topics Game Thrones Creator George R.R. Martin Other Authors Sue OpenAI Infringement September 21, 2023 Robert DeSalvo Share X Twitter Share Facebook Share Pinterest Share LinkedIn <use href=<svg width=1em height=1em viewBox=0 0 32 32 class=scriptlesssocialsharing__icon flipboard fill=currentcolor ariahidden=true focusable=false role=img> <title>flipboard<title> <path d=M24.997 13.001h5.998v5.998h5.998v5.998h5.998v17.995h17.995zM1.004 1.004v29.991h29.991v29.991z><path> <svg> xlink:href= flipboard > Share Flip itSeventeen authors including George R.R. Martin, John Grisham, Jodi Picoult suing OpenAI. The latest lawsuit follows initiated writers fed artificial intelligence creative work permission. As reported Associated Press, authors allege flagrant harmful infringements plaintiffs registered copyrights OpenAIs ChatGPT software massive commercial enterprise reliant systematic theft mass scale. It imperative stop theft tracks destroy incredible literary culture, feeds creative industries U.S., Authors Guild CEO Mary Rasenberger says statement. Great books generally written spend careers and, indeed, lives, learning perfecting crafts. To preserve literature, authors ability control works generative AI. The Lawsuit Claims That Someone Used ChatGPT Generate Prequel George R.R. Martins Game Thrones Image Credit: HBO. The lawsuit cites specific searches author. One search George R.R. Martin alleges ChatGPTgenerated infringing, unauthorized, detailed outline prequel Game Thrones titled A Dawn Direwolves, characters Martins existing books series A Song Ice Fire. An unnamed OpenAI spokesperson AI said statement company respects rights writers authors, believe benefit AI technology. The statement continues: Were productive conversations creators world, including Authors Guild, working cooperatively understand discuss concerns AI. Were optimistic continue mutually beneficial ways work help people utilize new technology rich content ecosystem. In similar lawsuit earlier month, authors Michael Chabon, David Henry Hwang, sued OpenAI clear infringement intellectual property. In August, Open AI asked federal judge dismiss lawsuits comedian Sarah Silverman author Paul Tremblay, saying claims misconceive scope copyright, failing account limitations exceptions including fair use properly leave room innovations like large language models forefront artificial intelligence. Other authors listed Authors Guild lawsuit involving Martin include David Baldacci, Sylvia Day, Jonathan Franzen, Elin Hilderbrand. Robert DeSalvo posts Robert DeSalvo WGA Meetings Continue Thursday Following Encouraging Talks End Strike Robert DeSalvo Cast Revealed Stranger Things: The First Shadow Stage Play Robert DeSalvo Original Daredevil Showrunner Calls Out Disney Scam Renaming Series Reset Contract Terms Robert DeSalvo Ahsoka Episode 6 Visits Galaxy Farther Away, Reveals Thrawn Ezra Share X Twitter Share Facebook Share Pinterest Share LinkedIn <use href=<svg width=1em height=1em viewBox=0 0 32 32 class=scriptlesssocialsharing__icon flipboard fill=currentcolor ariahidden=true focusable=false role=img> <title>flipboard<title> <path d=M24.997 13.001h5.998v5.998h5.998v5.998h5.998v17.995h17.995zM1.004 1.004v29.991h29.991v29.991z><path> <svg> xlink:href= flipboard > Share Flip Previous Not So Sadly, These 12 Professions People Seem To Have Zero Respect For About Privacy Wog Stories Lets Connect Money Like Boss For Brands For Bloggers WEALTH OF GEEKS CloseDollars Cents Make Save Debt, Credit, Loans Grow Protect Retire Real Estate Financial Literacy Careers For Geeks Anime Comics Books Movies TV Movie Reviews TV Entertainment Interviews Video Games Tech Reviews News Fandoms DC Comics Marvel Star Wars Pokmon iGaming iGaming Australia iGaming India iGaming Italy iGaming Indonesia iGaming Canada iGaming Nigeria iGaming South Africa iGaming U.K. Live Smart Travel Autos Food Lifestyle Weddings Sports Trending Topics
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https://wgntv.com/news/nexstar-media-wire/engineer-who-claimed-google-ai-has-thoughts-feelings-is-placed-on-leave/
| 2022-06-14T00:00:00 |
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Engineer who claimed Google AI has thoughts, feelings is placed on leave | WGN-TV
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Engineer who claimed Google AI has thoughts, feelings is placed on leave | WGN-TV
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Nexstar News Wire
Engineer who claimed Google AI has thoughts, feelings is placed on leave
by: Chris Mills Rodrigo, The Hill via Nexstar Media Wire
Posted: Jun 14, 2022 / 05:02 PM CDT
Updated: Jun 14, 2022 / 05:02 PM CDT
by: Chris Mills Rodrigo, The Hill via Nexstar Media Wire
Posted: Jun 14, 2022 / 05:02 PM CDT
Updated: Jun 14, 2022 / 05:02 PM CDT
SHARE
(The Hill) – A Google engineer who argued that the company’s artificial intelligence (AI) is sentient has been placed on personal leave.
A spokesperson for the company declined to elaborate on the reasons behind the suspension, noting that it is “a longstanding, private personnel matter.”
Multiple news outlets have reported that Blake Lemoine, the senior software engineer from Google’s responsible AI team, violated the company’s confidentiality policy.
Lemoine’s concerns reportedly grew out of his work with Google’s LaMDA model, which he grew to believe was sentient with feelings and emotions.
In a Medium post after he was placed on leave, Lemoine wrote that he sought “a minimal amount of outside consultation” after his managers turned down requests to escalate his concerns.
“When we escalated to the VP in charge of the relevant safety effort they literally laughed in my face and told me that the thing which I was concerned about isn’t the kind of thing which is taken seriously at Google,” Lemoine wrote.
The Google spokesperson told The Hill that Lemoine’s claims about LaMDA being sentient were reviewed and dismissed.
“These systems imitate the types of exchanges found in millions of sentences, and can riff on any fantastical topic — if you ask what it’s like to be an ice cream dinosaur, they can generate text about melting and roaring and so on,” they said. “LaMDA tends to follow along with prompts and leading questions, going along with the pattern set by the user.”
“Our team — including ethicists and technologists — has reviewed Blake’s concerns per our AI Principles and have informed him that the evidence does not support his claims” the spokesperson added.
While some researchers have suggested that automated systems could reach sentience, the consensus opinion in the space is that the technology has a very long way to go to reach such a point.
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Nexstar News Wire Engineer claimed Google AI thoughts, feelings placed leave by: Chris Mills Rodrigo, The Hill Nexstar Media Wire Posted: Jun 14, 2022 05:02 PM CDT Updated: Jun 14, 2022 05:02 PM CDT by: Chris Mills Rodrigo, The Hill Nexstar Media Wire Posted: Jun 14, 2022 05:02 PM CDT Updated: Jun 14, 2022 05:02 PM CDT SHARE The Hill A Google engineer argued companys artificial intelligence AI sentient placed personal leave. A spokesperson company declined elaborate reasons suspension, noting longstanding, private personnel matter. Multiple news outlets reported Blake Lemoine, senior software engineer Googles responsible AI team, violated companys confidentiality policy. Lemoines concerns reportedly grew work Googles LaMDA model, grew believe sentient feelings emotions. In Medium post placed leave, Lemoine wrote sought minimal outside consultation managers turned requests escalate concerns. When escalated VP charge relevant safety effort literally laughed face told thing I concerned isnt kind thing taken seriously Google, Lemoine wrote. The Google spokesperson told The Hill Lemoines claims LaMDA sentient reviewed dismissed. These systems imitate types exchanges millions sentences, riff fantastical topic ask like ice cream dinosaur, generate text melting roaring on, said. LaMDA tends follow prompts leading questions, going pattern set user. Our team including ethicists technologists reviewed Blakes concerns AI Principles informed evidence support claims spokesperson added. While researchers suggested automated systems reach sentience, consensus opinion space technology long way reach point. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2022 Nexstar Media . . This material published, broadcast, rewritten, redistributed. 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https://whatsuppub.com/news/national/article_cad05548-076f-50e1-998a-cb7a57de1b90.html
| 2022-12-06T00:00:00 |
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Liberty Hill School District Selects SparkCognition's Visual AI Advisor to Help Predict and Prevent Active Shootings | National | whatsuppub.com
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Liberty Hill School District Selects SparkCognition's Visual AI Advisor to Help Predict and Prevent Active Shootings | National | whatsuppub.com
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Liberty Hill School District Selects SparkCognition's Visual AI Advisor to Help Predict and Prevent Active Shootings
By SparkCognition
Dec 6, 2022
18 min ago
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AUSTIN, Texas, Dec. 6, 2022 /PRNewswire/ -- SparkCognition, a global leader in artificial intelligence (AI) software solutions, today announced it has been selected by Liberty Hill Independent School District, to deploy its computer vision solution to enhance campus security and student safety. By leveraging SparkCognition Visual AI Advisor, Liberty Hill will provide a more secure educational environment for its students, enhancing school safety by proactively identifying and preventing active shooter incidents."The safety of our students and faculty is of the utmost importance, and to that end, we've been investing in technology and physical security that work to our campuses," said Steven Snell, Superintendent of Liberty Hill ISD. "SparkCognition's Visual AI Advisor will augment our existing security measures, leveraging our existing cameras and adding a critical layer of proactive protection that will allow us to swiftly and effectively respond to a safety threat should it arise."
School shootings are at an unprecedented rate and represent the single greatest threat to a safe and supportive educational environment. Unfortunately, these incidents are particularly prevalent in Texas, the state with the second-highest number of school shootings. By adopting Visual AI Advisor for use cases including facial and license plate detection, threat detection, and weapon identification, Liberty Hill sets itself apart as a leader in providing transformative technology to safeguard students and faculty.Studies have shown that up to 80% of active shooters have weapons visible as much as 30 minutes before shooting – critical under-utilized time that safety officials could leverage to prevent an attack. Visual AI Advisor offers early alert and enhanced situational awareness as risks develop, capitalizing on those critical seconds and minutes prior to an incident and ultimately stopping it from occurring."Students need and deserve to feel safe in the classroom, and traditional approaches to safety fall short of delivering the advanced warning required to prevent serious and often fatal consequences to advancing threats," said Stephen Gold, Chief Marketing Officer at SparkCognition. "With SparkCognition's Visual AI Advisor, Liberty Hill is working to predict and prevent the greatest challenge to learning and development, ensuring students and faculty are safe and able to focus on the educational experience."SparkCognition currently has 130,000 cameras under contract, in over 16 countries, and more than 125 pre-built use cases. To learn more about SparkCognition, visit www.sparkcognition.com.About SparkCognitionSparkCognition's award-winning AI solutions allow organizations to predict future outcomes, prescribe next best actions, and help ensure worker safety. We partner with the world's industry leaders to analyze, optimize, and learn from all types of data, augment human intelligence, drive profitable growth, and achieve operational excellence. Our patented AI technologies including machine learning, deep neural networks, natural language processing, and computer vision lead the industry in innovation and accelerate digital transformation. Our solutions allow organizations to solve critical problems—prevent unexpected downtime, maximize asset performance, deliver net-zero initiatives, and eliminate accidents, all while avoiding zero-day cyberattacks. To learn more about how SparkCognition's AI solutions can unlock the power in your data, visit www.sparkcognition.com.
SparkCognition Contact InfoCara SchwartzkopfCommunications [email protected] View original content to download multimedia:https://www.prnewswire.com/news-releases/liberty-hill-school-district-selects-sparkcognitions-visual-ai-advisor-to-help-predict-and-prevent-active-shootings-301695468.htmlSOURCE SparkCognition
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Liberty Hill School District Selects SparkCognition's Visual AI Advisor to Help Predict and Prevent Active Shootings
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Liberty Hill School District Selects SparkCognitions Visual AI Advisor Help Predict Prevent Active Shootings National Skip main content You permission edit article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home Submit Event Calendar Contests Local Features El Paso . 51 El Paso, TX 79901 Today Sun clouds mixed. High near 70F. Winds W 10 15 mph.. Tonight Partly cloudy early followed cloudy skies overnight. Low 51F. Winds light variable. Updated: December 6, 2022 @ 6:55 Full Forecast Facebook Twitter YouTube Instagram Toggle navigation Home Submit Event Calendar Contests Local Features El Paso . Liberty Hill School District Selects SparkCognitions Visual AI Advisor Help Predict Prevent Active Shootings By SparkCognition Dec 6, 2022 18 min ago Comments Facebook Twitter WhatsApp SMS Email PRNewsfotoSparkCognition By SparkCognition Facebook Twitter WhatsApp SMS Email Print Copy article link Save AUSTIN, Texas, Dec. 6, 2022 PRNewswire SparkCognition, global leader artificial intelligence AI software solutions, today announced selected Liberty Hill Independent School District, deploy vision solution enhance campus security student safety. By leveraging SparkCognition Visual AI Advisor, Liberty Hill provide secure educational environment students, enhancing school safety proactively identifying preventing active shooter incidents.The safety students faculty utmost importance, end, weve investing technology physical security work campuses, said Steven Snell, Superintendent Liberty Hill ISD. SparkCognitions Visual AI Advisor augment existing security measures, leveraging existing cameras adding critical layer proactive protection allow swiftly effectively respond safety threat arise. School shootings unprecedented rate represent single greatest threat safe supportive educational environment. Unfortunately, incidents particularly prevalent Texas, state secondhighest number school shootings. By adopting Visual AI Advisor use cases including facial license plate detection, threat detection, weapon identification, Liberty Hill sets apart leader providing transformative technology safeguard students faculty.Studies shown 80 active shooters weapons visible 30 minutes shooting critical underutilized time safety officials leverage prevent attack. Visual AI Advisor offers early alert enhanced situational awareness risks develop, capitalizing critical seconds minutes prior incident ultimately stopping occurring.Students need deserve feel safe classroom, traditional approaches safety fall short delivering advanced warning required prevent fatal consequences advancing threats, said Stephen Gold, Chief Marketing Officer SparkCognition. With SparkCognitions Visual AI Advisor, Liberty Hill working predict prevent greatest challenge learning development, ensuring students faculty safe able focus educational experience.SparkCognition currently 130,000 cameras contract, 16 countries, 125 prebuilt use cases. To learn SparkCognition, visit SparkCognitionSparkCognitions awardwinning AI solutions allow organizations predict future outcomes, prescribe best actions, help ensure worker safety. We partner worlds industry leaders analyze, optimize, learn types data, augment human intelligence, drive profitable growth, achieve operational excellence. Our patented AI technologies including machine learning, deep neural networks, natural language processing, vision lead industry innovation accelerate digital transformation. Our solutions allow organizations solve critical problemsprevent unexpected downtime, maximize asset performance, deliver netzero initiatives, eliminate accidents, avoiding zeroday cyberattacks. To learn SparkCognitions AI solutions unlock power data, visit SparkCognition InfoCara SchwartzkopfCommunications Managercschwartzkopf View original content download multimedia: SparkCognition Love 0 Funny 0 Wow 0 Sad 0 Angry 0 Facebook Twitter WhatsApp SMS Email Print Copy article link Save Tags Prnewswire Sections Home Features Arts Culture Nightlife Local Events Music Sports Food Columns Photos Services Us Promote Your Event Advertise Staff History Submit News 209 N. Noble St. El Paso, TX 79901 Phone: 9155344422 Email: features Connect Us Facebook Twitter YouTube Instagram 2022 , 209 N. Noble St. El Paso, TX Terms Use Powered BLOX Content Management System .
| 2,022 |
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https://whee.net/2021/09/15/citing-human-rights-risks-un-calls-for-ban-on-certain-ai-tech-until-safeguards-are-set-up/
| 2021-09-15T00:00:00 |
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Citing human rights risks, UN calls for ban on certain AI tech until safeguards are set up | WHEE
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Citing human rights risks, UN calls for ban on certain AI tech until safeguards are set up | WHEE
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HomeNewsBusinessCiting human rights risks, UN calls for ban on certain AI tech...
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Citing human rights risks, UN calls for ban on certain AI tech until safeguards are set up
By staff
September 15, 2021
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(NEW YORK) — The United Nations Human Rights chief on Wednesday called for a moratorium on the sale of and use of artificial intelligence technology that poses human rights risks — including the state use of facial recognition software — until adequate safeguards are put in place.
The plea comes as artificial intelligence develops at a rapid clip, despite myriad concerns ranging from privacy to racial bias plaguing the emerging technology.
“Artificial intelligence can be a force for good, helping societies overcome some of the great challenges of our times. But AI technologies can have negative, even catastrophic, effects if they are used without sufficient regard to how they affect people’s human rights,” U.N. High Commissioner for Human Rights Michelle Bachelet said in a statement Wednesday.
Bachelet’s warnings accompany a report released by the U.N. Human Rights Office analyzing how artificial intelligence systems affect people’s right to privacy — as well as rights to health, education, freedom of movement and more.
“Artificial intelligence now reaches into almost every corner of our physical and mental lives and even emotional states,” Bachelet added. “AI systems are used to determine who gets public services, decide who has a chance to be recruited for a job, and of course they affect what information people see and can share online.”
The report warns of the dangers of implementing the technology without due diligence, citing cases of people being wrongly arrested because of flawed facial recognition tech or being denied social security benefits because of the mistakes made by these tools.
While the report did not cite specific software, it called for countries to ban any AI applications that “cannot be operated in compliance with international human rights law.” More specifically, the report called for a moratorium on the use of remote biometric recognition technologies in public spaces — at least until authorities can demonstrate compliance with privacy and data protection standards and the absence of discriminatory or accuracy issues.
The report also slammed the lack of transparency around the implementation of many AI systems, and how their reliance on large data sets can result in people’s data being collected and analyzed in opaque ways as well as result in faulty or discriminatory decisions. The long-term storage of data and how it could be used in the future is also unknown and a cause for concern, according to the report.
“Given the rapid and continuous growth of AI, filling the immense accountability gap in how data is collected, stored, shared and used is one of the most urgent human rights questions we face,” Bachelet said.
“We cannot afford to continue playing catch-up regarding AI — allowing its use with limited or no boundaries or oversight, and dealing with the almost inevitable human rights consequences after the fact,” Bachelet said, calling for immediate action to put “human rights guardrails on the use of AI.”
Digital rights advocacy groups welcomed the recommendations from the international body, especially as many nations lag in implementing federal laws surrounding artificial intelligence.
Evan Greer, the director of the nonprofit advocacy group Fight for the Future, told ABC News that the report further proves the “existential threat” posed by this emerging technology.
“This report echoes the growing consensus among technology and human rights experts around the world: artificial intelligence powered surveillance systems like facial recognition pose an existential threat to the future [of] human liberty,” Greer told ABC News. “Like nuclear or biological weapons, technology like this has such an enormous potential for harm that it cannot be effectively regulated, it must be banned.”
“Facial recognition and other discriminatory uses of artificial intelligence can do immense harm whether they’re deployed by governments or private entities like corporations,” Greer added. “We agree with the UN report’s conclusion: there should be an immediate, worldwide moratorium on the sale of facial recognition surveillance technology and other harmful AI systems.”
Multiple studies have indicated that facial recognition technologies powered by artificial intelligence have the potential of racial bias and false negatives. Just last summer, a Black man in Michigan was wrongfully arrested and detained after facial recognition technology incorrectly identified him as a shoplifting suspect.
A sweeping 2019 study from the U.S. Department of Commerce’s National Institute of Standards and Technology found a majority of facial recognition software on the market had higher rates of false positive matches for Asian and Black faces compared to white faces. A separate 2019 study from the U.K. found that 81% of suspects flagged by the facial recognition technology used by London’s Metropolitan Police force were innocent.
Copyright © 2021, ABC Audio. All rights reserved.
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Citing human rights risks, UN calls for ban on certain AI tech until safeguards are set up
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Citing human rights risks, UN calls ban certain AI tech safeguards set WHEE Sign Home News Business Entertainment Health In Crisis Local National Politics World Podcasts Sign WelcomeLog account username password Forgot password? Password recovery Recover password email Sign Welcome Log account username password Forgot password? Get help Password recovery Recover password email A password emailed you. Wednesday, September 15, 2021 Sign Join Uploader FacebookTwitter Home News AllBusinessEntertainmentHealthIn CrisisLocalNationalPoliticsWorld World New World Bank report highlights growing risks climate change poorest regions September 15, 2021 Entertainment Wendy Williams tests positive COVID19; The Lion King celebrates return Broadway; September 15, 2021 Politics Biden great confidence Milley secret actions Trumps final months September 15, 2021 Entertainment Anthony Mackie taking road series based demolition derby game Twisted Metal September 15, 2021 Podcasts HomeNewsBusinessCiting human rights risks, UN calls ban certain AI tech... NewsBusiness Citing human rights risks, UN calls ban certain AI tech safeguards set By staff September 15, 2021 0 16 Share Facebook Twitter Pinterest WhatsApp ipopbaiStock NEW YORK The United Nations Human Rights chief Wednesday called moratorium sale use artificial intelligence technology poses human rights risks including state use facial recognition software adequate safeguards place. The plea comes artificial intelligence develops rapid clip, despite myriad concerns ranging privacy racial bias plaguing emerging technology. Artificial intelligence force good, helping societies overcome great challenges times. But AI technologies negative, catastrophic, effects sufficient regard affect peoples human rights, U.N. High Commissioner Human Rights Michelle Bachelet said statement Wednesday. Bachelets warnings accompany report released U.N. Human Rights Office analyzing artificial intelligence systems affect peoples right privacy rights health, education, freedom movement more. Artificial intelligence reaches corner physical mental lives emotional states, Bachelet added. AI systems determine gets public services, decide chance recruited job, course affect information people share online. The report warns dangers implementing technology diligence, citing cases people wrongly arrested flawed facial recognition tech denied social security benefits mistakes tools. While report cite specific software, called countries ban AI applications operated compliance international human rights law. More specifically, report called moratorium use remote biometric recognition technologies public spaces authorities demonstrate compliance privacy data protection standards absence discriminatory accuracy issues. The report slammed lack transparency implementation AI systems, reliance large data sets result peoples data collected analyzed opaque ways result faulty discriminatory decisions. The longterm storage data future unknown cause concern, according report. Given rapid continuous growth AI, filling immense accountability gap data collected, stored, shared urgent human rights questions face, Bachelet said. We afford continue playing catchup AI allowing use limited boundaries oversight, dealing inevitable human rights consequences fact, Bachelet said, calling immediate action human rights guardrails use AI. Digital rights advocacy groups welcomed recommendations international body, especially nations lag implementing federal laws surrounding artificial intelligence. Evan Greer, director nonprofit advocacy group Fight Future, told ABC News report proves existential threat posed emerging technology. This report echoes growing consensus technology human rights experts world: artificial intelligence powered surveillance systems like facial recognition pose existential threat future [of] human liberty, Greer told ABC News. Like nuclear biological weapons, technology like enormous potential harm effectively regulated, banned. Facial recognition discriminatory uses artificial intelligence immense harm theyre deployed governments private entities like corporations, Greer added. We agree UN reports conclusion: immediate, worldwide moratorium sale facial recognition surveillance technology harmful AI systems. Multiple studies indicated facial recognition technologies powered artificial intelligence potential racial bias false negatives. Just summer, Black man Michigan wrongfully arrested detained facial recognition technology incorrectly identified shoplifting suspect. A sweeping 2019 study U.S. Department Commerces National Institute Standards Technology majority facial recognition software market higher rates false positive matches Asian Black faces compared white faces. A separate 2019 study U.K. 81 suspects flagged facial recognition technology Londons Metropolitan Police force innocent. 2021, ABC Audio. . 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EU outlines ambitious AI regulations focused on risky uses
by
AP News
April 21, 2021
in
AP News, National
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By KELVIN CHAN
AP Business Writer
LONDON (AP) — Risky uses of artificial intelligence that threaten people’s safety or rights such as live facial scanning should be banned or tightly controlled, European Union officials said Wednesday as they outlined an ambitious package of proposed regulations for the rapidly expanding technology.
The draft regulations from the EU’s executive commission include rules for applications deemed high risk such as AI systems to filter out school, job or loan applicants. They would also ban artificial intelligence outright in a few cases considered too risky, such as government “social scoring” systems that judge people based on their behavior.
The proposals are the 27-nation bloc’s latest move to maintain its role as the world’s standard-bearer for technology regulation, as it tries to keep up with the world’s two big tech superpowers, the U.S. and China. EU officials say they are taking a four-level “risk-based approach” that seeks to balance important rights such as privacy against the need to encourage innovation.
“With these landmark rules, the EU is spearheading the development of new global norms to make sure AI can be trusted,” Margrethe Vestager, the European Commission’s executive vice president for the digital age, said in a statement. “By setting the standards, we can pave the way for to ethical technology worldwide and ensure that the EU remains competitive along the way.”
Unacceptable AI uses also include manipulating behavior, exploiting children’s vulnerabilities or using subliminal techniques.
“It can be a case where a toy uses voice systems to manipulate a child into doing something dangerous,” Vestager told a media briefing. “Such uses have no place in Europe and therefore we propose to ban them.”
The proposals include a prohibition in principle on controversial “remote biometric identification,” such as the use of live facial recognition to pick people out of crowds in real time, because “there is no room for mass surveillance in our society,” Vestager said.
There will, however, be an exception for narrowly defined law enforcement purposes such as searching for a missing child or a wanted person or preventing a terror attack. But some EU lawmakers and digital rights groups called for the carve-out to be removed over fears it could be used by authorities to justify widespread future use of the technology, which they say is intrusive and inaccurate.
Biometric and mass surveillance technology “in our public spaces undermines our freedom and threatens our open societies,” said Patrick Breyer, an EU Pirate party lawmaker. “We cannot allow the discrimination of certain groups of people and the false incrimination of countless individuals by these technologies”
Other AI applications are considered high risk because they “interfere with important aspects of our lives,” Vestager said, including criminal courts, law enforcement, critical infrastructure such as transportation — think software for self-driving cars — and management of migration, asylum and border control. But their use is allowed provided operators follow rules including using high quality data to minimize discrimination and having a human in charge.
Herber Swaniker, a technology lawyer at law firm Clifford Chance, compared the proposals to stringent EU privacy rules known as the General Data Protection Regulation, or GDPR, which affect companies worldwide.
“With GDPR, we saw the EU’s rules reach every corner of the world and apply pressure on countries globally to reach a new international gold standard,” Swaniker said. “We can expect this too for AI regulation. This is just the beginning.”
The draft regulations also cover AI applications that pose “limited risk,” such as chatbots which should be labeled so people know they are interacting with a machine. Most AI applications, such as email spam filters, will be unaffected or covered by existing consumer protection rules, officials said.
To enforce the rules and help develop standards, the commissions proposes setting up a European Artificial Intelligence Board.
Violations could result in fines of up to 30,000 euros (more than $36,000), or for companies, up to 6% of their global annual revenue, whichever is higher, although Vestager said authorities would first ask providers to fix their AI products or remove them from the market.
The proposals still have to be debated by EU lawmakers and could be amended in a process that could take several years. They would apply to anyone that provides an artificial intelligence system in the EU or uses one that affects people in the bloc.
EU officials, trying to catch up with the Chinese and American tech industry, said the rules would encourage the industry’s growth by raising trust in artificial intelligence systems and by introducing legal clarity for companies them.
___
For all of AP’s tech coverage, visit https://apnews.com/apf-technology
___
Follow Kelvin Chan at https://www.twitter.com/chanman
Copyright 2021 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.
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EU outlines ambitious AI regulations focused risky uses WTMJ About Advertise EEO PUBLIC FILE REPORT FCC Public File FCC Applications Terms Use Wednesday, April 21, 2021 Home News Coronavirus Decision Wisconsin Local News Featured News Guest Editorials JetBlue coming Milwaukee 2022 April 21, 2021 Milwaukee Police search critically missing child April 21, 2021 Wisconsin racial justice task force issues recommendations April 21, 2021 Milwaukee Police investigate double shooting 14yearold girls April 21, 2021 Guest Editorials Coronavirus Weather Watches Warnings Closings Delays Flight Status Traffic Sports Packers Brewers Bucks College Extra Points Bucks Talk Shows Steve Scaffidi Jeff Wagner Wisconsins Morning News Wisconsins Afternoon News Wisconsins Weekend Morning News WTMJ Extra WTMJ Nights Featured Shows Accunet Mortgage Realty Show Annex Wealth Management: Money Talk Designer Yard Show Bret Achtenhagen Drake Retirement Ready Show Fox World Travel The Ric Edelman Show Travel Wisconsin WTMJ Fix It Show Podcasts Jeff Wagner Podcast The Steve Scaffidi Show Convention Countdown Milwaukee Business Journal WTMJ Packers Flagship Podcast First Pitch WTMJ Bucks Flagship WTMJ Extra Wis. 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Morning News, Afternoon News Brewers Extra Innings Mercurious: The podcasts Travel Wisconsin WTMJ Cares Honor Flight FeaturesEvents Good Karma Give Back WaterStone Bank HERO WTMJ Roundtable Milwaukee Car Truck Show John Mercure Collette Travel Southern Charm Experience WTMJ Cares Wagners Home Improvement Showcase presented Great Midwest Bank Kids 2 Kids Christmas brought Kapco Metal Stamping WTMJ 2021 Follow The Packers Presented West Bend Insurance Mercurious Videostories Everyday Health Travel Wisconsin Alexa Contests LISTEN LIVE No Result View All Result No Result View All Result EU outlines ambitious AI regulations focused risky uses AP News April 21, 2021 AP News, National Share FacebookShare TwitterEmail By KELVIN CHAN AP Business Writer LONDON AP Risky uses artificial intelligence threaten peoples safety rights live facial scanning banned tightly controlled, European Union officials said Wednesday outlined ambitious package proposed regulations rapidly expanding technology. The draft regulations EUs executive commission include rules applications deemed high risk AI systems filter school, job loan applicants. They ban artificial intelligence outright cases considered risky, government social scoring systems judge people based behavior. The proposals 27nation blocs latest maintain role worlds standardbearer technology regulation, tries worlds big tech superpowers, U.S. China. EU officials taking fourlevel riskbased approach seeks balance important rights privacy need encourage innovation. With landmark rules, EU spearheading development new global norms sure AI trusted, Margrethe Vestager, European Commissions executive vice president digital age, said statement. By setting standards, pave way ethical technology worldwide ensure EU remains competitive way. Unacceptable AI uses include manipulating behavior, exploiting childrens vulnerabilities subliminal techniques. It case toy uses voice systems manipulate child dangerous, Vestager told media briefing. Such uses place Europe propose ban them. The proposals include prohibition principle controversial remote biometric identification, use live facial recognition pick people crowds real time, room mass surveillance society, Vestager said. There will, however, exception narrowly defined law enforcement purposes searching missing child wanted person preventing terror attack. But EU lawmakers digital rights groups called carveout removed fears authorities justify widespread future use technology, intrusive inaccurate. Biometric mass surveillance technology public spaces undermines freedom threatens open societies, said Patrick Breyer, EU Pirate party lawmaker. We allow discrimination certain groups people false incrimination countless individuals technologies Other AI applications considered high risk interfere important aspects lives, Vestager said, including criminal courts, law enforcement, critical infrastructure transportation think software selfdriving cars management migration, asylum border control. But use allowed provided operators follow rules including high quality data minimize discrimination human charge. Herber Swaniker, technology lawyer law firm Clifford Chance, compared proposals stringent EU privacy rules known General Data Protection Regulation, GDPR, affect companies worldwide. With GDPR, saw EUs rules reach corner world apply pressure countries globally reach new international gold standard, Swaniker said. We expect AI regulation. This beginning. The draft regulations cover AI applications pose limited risk, chatbots labeled people know interacting machine. Most AI applications, email spam filters, unaffected covered existing consumer protection rules, officials said. To enforce rules help develop standards, commissions proposes setting European Artificial Intelligence Board. Violations result fines 30,000 euros 36,000, companies, 6 global annual revenue, whichever higher, Vestager said authorities ask providers fix AI products remove market. The proposals debated EU lawmakers amended process years. They apply provides artificial intelligence EU uses affects people bloc. EU officials, trying catch Chinese American tech industry, said rules encourage industrys growth raising trust artificial intelligence systems introducing legal clarity companies them. ___ For APs tech coverage, visit ___ Follow Kelvin Chan 2021 The Associated Press. . This material published, broadcast, rewritten redistributed permission. 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https://www.01net.it/humach-recruits-industry-veterans-to-enhance-focus-on-customer-experience-ai-and-automation/
| 2023-04-18T00:00:00 |
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Humach Recruits Industry Veterans to Enhance Focus on Customer Experience, AI and Automation
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Humach Recruits Industry Veterans to Enhance Focus on Customer Experience, AI and Automation
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Humach Recruits Industry Veterans to Enhance Focus on Customer Experience, AI and Automation
di Business Wire
18 Aprile 2023
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Mark Honeycutt Joins as President, Digital and Professional Services.
Julia Ochinero Becomes New Chief Marketing Officer
DALLAS–(BUSINESS WIRE)–Humach, the customer experience provider that blends human and machine-driven contact center capabilities, appointed two industry veterans to key leadership roles to assist with the company’s goal to provide seamless customer experiences for companies seeking efficiency in their AI and digital transformation.
Mark Honeycutt is joining Humach, bringing more than two decades of global customer experience at Microsoft and Amazon. As the newly appointed President of Digital and Professional Services, Honeycutt will be responsible for bringing Humach’s technology to life for our clients by enhancing their customer’s experience.
Silicon Valley marketing executive Julia Ochinero becomes Humach’s new Chief Marketing Officer who will be applying her deep experience to lead the company’s brand, product marketing, and go-to-market functions.
“It’s rare to find business leaders who offer the depth of comprehensive insights of Mark and Julia’s caliber,” said Humach CEO Tim Houlne.
Honeycutt most recently served as DoorDash’s Vice President of Support and Operations and previously was the Director of Consumer Operations and Global Outsourcing at Amazon. He also served as Senior Director of Global Service Delivery at Microsoft.
“Mark brings a unique and refreshing perspective to Humach,” said Houlne. “He offers a client’s viewpoint to the table and provides a constructive perspective as we enhance our human agent capabilities and deploy the industry’s most advanced digital agents.”
Honeycutt’s deep customer experience includes managing an organization of more than 100,000 representatives, operating in more than 100 contact centers, and from 30 countries.
Ochinero is joining Humach from Talkdesk where she served as global head of telco and reseller partner marketing. Previously, she led marketing at MAANA, an AI/ML SaaS platform and at Hewlett-Packard, and Nuance Communications where she led go-to-market strategies.
“Julia’s marketing background offers a truly distinctive approach in the CX sector,” said Houlne. “She has worked with early stage to FORTUNE 50 corporations to distinguish their unique capabilities from their competitors.”
ABOUT HUMACH
Humach simplifies and streamlines customer experiences for the world’s leading brands with agents and technology. With operations throughout the United States, Mexico, and Jamaica, Humach blends live agents, digital agents, and robust technology to allow businesses to focus on their core business operations.
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Humach Recruits Industry Veterans to Enhance Focus on Customer Experience, AI and Automation
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Humach Recruits Industry Veterans Enhance Focus Customer Experience, AI Automation <img height=1 width=1 style=display:none src= <img height=1 width=1 style=display:none src= Apple Cloud IoT Intelligenza artificiale Prodotti Hardware Mobile Networking e TLC 5G Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Webinar 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 Prodotti Hardware Mobile Networking e TLC 5G Sicurezza Software Storage Soluzioni Agricoltura Architettura Design Automotive Manufacturing Retail eHealth Smart Home Utilities Webinar Home Business Wire Humach Recruits Industry Veterans Enhance Focus Customer Experience, AI and... Business Wire Humach Recruits Industry Veterans Enhance Focus Customer Experience, AI Automation di Business Wire 18 Aprile 2023 Share Facebook Twitter Linkedin Telegram Pinterest WhatsApp Email Print Mark Honeycutt Joins President, Digital Professional Services. Julia Ochinero Becomes New Chief Marketing Officer DALLASBUSINESS WIREHumach, customer experience provider blends human machinedriven contact center capabilities, appointed industry veterans key leadership roles assist companys goal provide seamless customer experiences companies seeking efficiency AI digital transformation. Mark Honeycutt joining Humach, bringing decades global customer experience Microsoft Amazon. As newly appointed President Digital Professional Services, Honeycutt responsible bringing Humachs technology life clients enhancing customers experience. Silicon Valley marketing executive Julia Ochinero Humachs new Chief Marketing Officer applying deep experience lead companys brand, product marketing, gotomarket functions. Its rare business leaders offer depth comprehensive insights Mark Julias caliber, said Humach CEO Tim Houlne. Honeycutt recently served DoorDashs Vice President Support Operations previously Director Consumer Operations Global Outsourcing Amazon. He served Senior Director Global Service Delivery Microsoft. Mark brings unique refreshing perspective Humach, said Houlne. He offers clients viewpoint table provides constructive perspective enhance human agent capabilities deploy industrys advanced digital agents. Honeycutts deep customer experience includes managing organization 100,000 representatives, operating 100 contact centers, 30 countries. Ochinero joining Humach Talkdesk served global head telco reseller partner marketing. Previously, led marketing MAANA, AIML SaaS platform HewlettPackard, Nuance Communications led gotomarket strategies. Julias marketing background offers truly distinctive approach CX sector, said Houlne. She worked early stage FORTUNE 50 corporations distinguish unique capabilities competitors. ABOUT HUMACH Humach simplifies streamlines customer experiences worlds leading brands agents technology. With operations United States, Mexico, Jamaica, Humach blends live agents, digital agents, robust technology allow businesses focus core business operations. Kevin Lightfoot Kevin.lightfoot Articoli correlati AwardWinning Photographer Jeremy Cowart Presents AURAS, FirstofitsKind Live Performance Art Event Taking Place V Nashville May 2, 2023 Business Wire Business Wire 18 Aprile 2023 AURAS Will Leverage Kaleidoscope, Transient Labs Image Processing Library, Help Create 10k Unique NFTs 20 Minutes, Exclusively... Continua leggere ABS Quality Evaluations Secures ed Provider Organization RPO Certification CMMC 2.0 Business Wire Business Wire 18 Aprile 2023 HOUSTONBUSINESS WIREABS Quality Evaluations, . ABS QE, worldleading certification body subsidiary ABS Group Companies,... Continua leggere Token Appoints Cybersecurity Sales Leader Grow AntiPhishing Ransomware Protection Sales Business Wire Business Wire 18 Aprile 2023 Former Virtual Instruments, Valimail, Red Sift executive Tim Leow joins developer nextgeneration multifactor authentication stops ransomware... Continua leggere Se questo articolo ti piaciuto e vuoi rimanere sempre informato sulle novit tecnologiche iscriviti alla newsletter CHI SIAMOContatti New Business Media Tecniche NuoveSEGUICI Disclaimer e note legali Privacy Informativa estesa sui cookie New Business Media Srl Via Eritrea 21, 20157 Milano Codice fiscale, Partita IVA e Iscrizione al Registro delle imprese di Milano: 08449540965.Testata giornalistica registrata presso il Tribunale di Milano, n 13602 del 15122020. ALTRE STORIE Kanverse.ai Joins Boomi Technology Partner Program, Delivering ZeroTouch Document Processing Enterprise Business... Business Wire 18 Aprile 2023
| 2,023 |
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https://www.13abc.com/prnewswire/2023/08/10/crowdworks-recognized-again-gartner-hype-cycle-artificial-intelligence-2023-hype-cycle-data-science-machine-learning-2023/
| 2023-08-10T00:00:00 |
en
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Crowdworks recognized again in the Gartner® Hype Cycle™ for Artificial Intelligence, 2023 and Hype Cycle for Data Science and Machine Learning, 2023
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Crowdworks recognized again in the Gartner® Hype Cycle™ for Artificial Intelligence, 2023 and Hype Cycle for Data Science and Machine Learning, 2023
Skip to contentBirthday Club13abc 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 BureauInvestigateTVPowerNationCrowdworks recognized again in the Gartner® Hype Cycle™ for Artificial Intelligence, 2023 and Hype Cycle for Data Science and Machine Learning, 2023Published: Aug. 9, 2023 at 9:00 PM EDT|Updated: 2 hours agoThe Company was recognized among 9 of the Sample Vendors for Data Labeling and Annotation in the 2023 reportSEOUL, South Korea, Aug. 9, 2023 /PRNewswire/ -- Crowdworks (CEO Minwoo Park), a leading provider of AI learning data platform, today announced its recognition as a Sample Vendor in the 2023 Gartner Hype Cycle for Data Science and Machine Learning, 2023[1] and Hype Cycle for Artificial Intelligence, 2023,[2] marking its second consecutive year on the list. Crowdworks is listed as a sample vendor along with other notable global Data-Centric AI companies.(PRNewsfoto/Crowdworks Inc)(PRNewswire)Gartner states that: "Gartner's Hype Cycle depicts a common pattern that occurs when an innovation emerges. An innovation often progresses through a period of overenthusiasm, to a period of disillusionment, to an eventual understanding of the innovation's relevance and role in a market or domain."[3]."The need for better training data has increased to remove the bottleneck in developing AI solutions — especially those particular to generative AI and industry use cases, [4] " Gartner stated in this year's report. For generative AI, data is even more critical, and Gartner continued: "Given the typical lack of internal skills and systems, DL&A services and tools are often the best option (by cost, quality and availability) to provide necessary data for best AI results." [4]Crowdworks has been at the forefront of driving technological innovation in the AI field by introducing a crowdsourcing approach to data labeling, involving a large community of people in collecting and annotating AI training data. More recently, Crowdworks has expanded its services to include customized AI all-in-one solutions, simplifying the adoption of generative AI for companies.Looking to the future, Crowdworks is actively working to expand its global market presence through participation in high-profile exhibitions like CES and Viva Technology. Additionally, it anticipates listing on the KOSDAQ next month, demonstrating its commitment to future growth."We believe this recognition from Gartner for the two consecutive years authenticates Crowdworks' commitment to data quality, our innovative business model, and competitiveness in the global market. We are determined to surge ahead as a global leader in providing high-quality AI data solutions," says Minwoo Park, CEO of Crowdworks.[1] Gartner, "Hype Cycle for Data Science and Machine Learning, 2023", Peter Krensky, July 27, 2023.[2] Gartner, "Hype Cycle for Artificial Intelligence, 2023", Afraz Jaffri, July 19, 2023.[3] Gartner, "Understanding Gartner's Hype Cycles", Philip Dawson, et al., July 24, 2023.[4] Gartner, page 98, Data labeling and Annotation, "Hype Cycle for Artificial Intelligence, 2023", Afraz Jaffri, July 19, 2023.GARTNER and HYPE CYCLE are registered trademarks and service marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner Disclaimer:Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.About CrowdworksCrowdworks has been a pioneering AI training data solution provider in Korea since 2017. Our cutting-edge AI training data platform comes equipped with Auto-ML features, supported by a dedicated 0.5 million qualified labelers. By harnessing the power of human-generated reliable data, Crowdworks drives the swift adoption of Enterprise Generative AI across diverse industries, such as automotive, healthcare, and finance.en.crowdworks.ai Follow us on LinkedIn.View original content to download multimedia:https://www.prnewswire.com/news-releases/crowdworks-recognized-again-in-the-gartner-hype-cycle-for-artificial-intelligence-2023-and-hype-cycle-for-data-science-and-machine-learning-2023-301895390.htmlSOURCE Crowdworks IncThe 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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Crowdworks recognized again in the Gartner® Hype Cycle™ for Artificial Intelligence, 2023 and Hype Cycle for Data Science and Machine Learning, 2023
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Crowdworks recognized Gartner Hype Cycle Artificial Intelligence, 2023 Hype Cycle Data Science Machine Learning, 2023 Skip contentBirthday Club13abc 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 BureauInvestigateTVPowerNationCrowdworks recognized Gartner Hype Cycle Artificial Intelligence, 2023 Hype Cycle Data Science Machine Learning, 2023Published: Aug. 9, 2023 9:00 PM EDTUpdated: 2 hours agoThe Company recognized 9 Sample Vendors Data Labeling Annotation 2023 reportSEOUL, South Korea, Aug. 9, 2023 PRNewswire Crowdworks CEO Minwoo Park, leading provider AI learning data platform, today announced recognition Sample Vendor 2023 Gartner Hype Cycle Data Science Machine Learning, 2023[1] Hype Cycle Artificial Intelligence, 2023,[2] marking second consecutive year list. Crowdworks listed sample vendor notable global DataCentric AI companies.PRNewsfotoCrowdworks PRNewswireGartner states that: Gartners Hype Cycle depicts common pattern occurs innovation emerges. An innovation progresses period overenthusiasm, period disillusionment, eventual understanding innovations relevance role market domain.[3].The need better training data increased remove bottleneck developing AIsolutions especially particular generative AI industry use cases, [4] Gartner stated years report. For generative AI, data critical, Gartner continued: Given typical lack internal skills systems, DLA services tools best option cost, quality availability provide necessary data best AI results. [4]Crowdworks forefront driving technological innovation AI field introducing crowdsourcing approach data labeling, involving large community people collecting annotating AI training data. More recently, Crowdworks expanded services include customized AI allinone solutions, simplifying adoption generative AI companies.Looking future, Crowdworks actively working expand global market presence participation highprofile exhibitions like CES Viva Technology. Additionally, anticipates listing KOSDAQ month, demonstrating commitment future growth.We believe recognition Gartner consecutive years authenticates Crowdworks commitment data quality, innovative business model, competitiveness global market. We determined surge ahead global leader providing highquality AI data solutions, says Minwoo Park, CEO Crowdworks.[1] Gartner, Hype Cycle Data Science Machine Learning, 2023, Peter Krensky, July 27, 2023.[2] Gartner, Hype Cycle Artificial Intelligence, 2023, Afraz Jaffri, July 19, 2023.[3] Gartner, Understanding Gartners Hype Cycles, Philip Dawson, et al., July 24, 2023.[4] Gartner, 98, Data labeling Annotation, Hype Cycle Artificial Intelligence, 2023, Afraz Jaffri, July 19, 2023.GARTNER HYPE CYCLE registered trademarks service marks Gartner, . andor affiliates U.S. internationally permission. . Gartner Disclaimer:Gartner endorse vendor, product service depicted research publications, advise technology users select vendors highest ratings designation. Gartner research publications consist opinions Gartners research organization construed statements fact. Gartner disclaims warranties, expressed implied, respect research, including warranties merchantability fitness particular purpose.About CrowdworksCrowdworks pioneering AI training data solution provider Korea 2017. Our cuttingedge AI training data platform comes equipped AutoML features, supported dedicated 0.5 million qualified labelers. By harnessing power humangenerated reliable data, Crowdworks drives swift adoption Enterprise Generative AI diverse industries, automotive, healthcare, finance.en.crowdworks.aiFollow LinkedIn.View original content download multimedia: Crowdworks The 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, .
| 2,023 |
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https://www.13abc.com/prnewswire/2023/09/26/berger-montague-shareholder-shanon-j-carson-senior-counsel-jennifer-p-elwell-appointed-leadership-positions-bard-implanted-port-catheter-mdl-litigation/
| 2023-09-26T00:00:00 |
en
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BERGER MONTAGUE SHAREHOLDER SHANON J. CARSON AND SENIOR COUNSEL JENNIFER P. ELWELL APPOINTED TO LEADERSHIP POSITIONS IN THE BARD IMPLANTED PORT CATHETER MDL LITIGATION
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BERGER MONTAGUE SHAREHOLDER SHANON J. CARSON AND SENIOR COUNSEL JENNIFER P. ELWELL APPOINTED TO LEADERSHIP POSITIONS IN THE BARD IMPLANTED PORT CATHETER MDL LITIGATION
Skip to content13abc MarketplaceContestsCommunity CalendarOhio LotteryNewsFirst Alert WeatherWatch LiveLinks We MentionedThe NineUAW StrikeHomeCommunity CalendarSubmit Photos and VideoNewsAction News NowCrimeInvestigationNationalSpecial ReportsUAW StrikeYour 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 BureauInvestigateTVPowerNationBERGER MONTAGUE SHAREHOLDER SHANON J. CARSON AND SENIOR COUNSEL JENNIFER P. ELWELL APPOINTED TO LEADERSHIP POSITIONS IN THE BARD IMPLANTED PORT CATHETER MDL LITIGATIONPublished: Sep. 26, 2023 at 3:01 PM EDT|Updated: 1 hour agoPHILADELPHIA, Sept. 26, 2023 /PRNewswire/ -- The national plaintiffs' law firm Berger Montague is pleased to announce that firm attorneys Shanon J. Carson and Jennifer P. Elwell have been appointed by the U.S. District Court for the District of Arizona to leadership positions in In re: Bard Implanted Port Catheter Products Liability Litigation, MDL No. 3081. The court appointed Mr. Carson to the Plaintiffs' Executive Committee and Ms. Elwell to the Plaintiffs' Steering Committee.Berger Montague Logo (PRNewsfoto/Berger Montague)(PRNewswire)Berger Montague has been contacted by hundreds of individuals alleging injuries by Bard port catheters.In August 2023, all lawsuits filed in federal courts nationwide alleging injuries caused by Bard implanted port catheters were consolidated before one federal court located in Phoenix, Arizona for discovery and pretrial proceedings. The defendants in these cases include C.R. Bard, Inc., Bard Access Systems, Inc., and Becton, Dickinson & Co. On September 19, 2023, the court began the case by issuing an order appointing the plaintiffs' leadership team.The consolidated lawsuits involve personal injuries arising from Bard's alleged defective design, manufacture, and sale of implantable port catheter devices, including the Bard PowerPort® and other similar devices. The port catheter devices are an implantable vascular access device intended to provide repeated access to the vascular system for the delivery of medication including but not limited to chemotherapy, intravenous fluids, parenteral nutrition solutions, blood products, and for the withdrawal of blood samples.Bard port catheters are surgically placed under the skin, typically in the chest, and consist of an injection port and a catheter. The injection port has a raised center where the needle is inserted. The plaintiffs allege that the devices are defective and prone to fracture and migration, and that they cause the collection of: (a) fibrinous blood products, thereby increasing the risk of thromboembolism; and (b) microbes and/or fungi, thereby increasing the risk of infection and sepsis. The plaintiffs allege that the device presents an unreasonable risk of life-threatening injuries such as hemorrhage, thromboembolism, serious infection and other injuries from infection such as sepsis, limb loss, organ failure or death, cardiac arrhythmia, severe and persistent pain, and perforations of tissue, vessels, and organs, as well as the need for surgeries to remove the defective device or fragments that fractured, resulting in pieces of the catheter becoming embedded in an artery, vein, or organ, and causing additional complications. It is also alleged that if a catheter dislodges from a chemo port, the medicine may pool beneath the skin, allowing tissue necrosis to occur.The cases were consolidated because, as the court explained, all the cases "can be expected to share factual questions arising from allegations that defendants manufacture the catheter component of their port devices with a concentration of barium sulfate that is too high, which reduces the material integrity of the catheter" and causes serious injuries including catheter infection, fracture, and thrombosis. Over 50 lawsuits have already been filed and it is expected that thousands of additional lawsuits will be filed.Berger Montague has been contacted by hundreds of individuals alleging injuries by Bard port catheters as well as from similar devices manufactured by other companies. "We are honored to represent our clients and we look forward to obtaining justice for them," said Shanon Carson, Executive Shareholder of Berger Montague. "If any person has been injured by a Bard port catheter device, they should contact us for further information, and we also encourage any person who has relevant information concerning the lawsuit to call us as well. We expect this litigation to move swiftly."Please direct all inquiries to Berger Montague's Bard Port Catheter Litigation Team by email to [email protected] or by telephone at (215) 875-3072. Additional information is available at:https://bergermontague.com/cases/bard-port-catheter-litigation/Berger Montague PC is a national law firm headquartered in Philadelphia with offices in Chicago, Minneapolis, San Diego, Toronto, Washington, D.C., and Wilmington. Berger Montague litigates complex civil cases on behalf of plaintiffs in federal and state courts throughout the country. Berger Montague has played lead roles in major cases for over 53 years and has recovered more than $50 billion for its clients and the classes they have represented.Please Contact:Shanon J. Carson, Executive ShareholderJennifer P. Elwell, Senior CounselBerger Montague PCTelephone: (215) 875-3072Email: [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/berger-montague-shareholder-shanon-j-carson-and-senior-counsel-jennifer-p-elwell-appointed-to-leadership-positions-in-the-bard-implanted-port-catheter-mdl-litigation-301939415.htmlSOURCE Berger MontagueThe 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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BERGER MONTAGUE SHAREHOLDER SHANON J. CARSON AND SENIOR COUNSEL JENNIFER P. ELWELL APPOINTED TO LEADERSHIP POSITIONS IN THE BARD IMPLANTED PORT CATHETER MDL LITIGATION
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BERGER MONTAGUE SHAREHOLDER SHANON J. CARSON AND SENIOR COUNSEL JENNIFER P. ELWELL APPOINTED TO LEADERSHIP POSITIONS IN THE BARD IMPLANTED PORT CATHETER MDL LITIGATION Skip content13abc MarketplaceContestsCommunity CalendarOhio LotteryNewsFirst Alert WeatherWatch LiveLinks We MentionedThe NineUAW StrikeHomeCommunity CalendarSubmit Photos VideoNewsAction News NowCrimeInvestigationNationalSpecial ReportsUAW StrikeYour 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 BureauInvestigateTVPowerNationBERGER MONTAGUE SHAREHOLDER SHANON J. CARSON AND SENIOR COUNSEL JENNIFER P. ELWELL APPOINTED TO LEADERSHIP POSITIONS IN THE BARD IMPLANTED PORT CATHETER MDL LITIGATIONPublished: Sep. 26, 2023 3:01 PM EDTUpdated: 1 hour agoPHILADELPHIA, Sept. 26, 2023 PRNewswire The national plaintiffs law firm Berger Montague pleased announce firm attorneys Shanon J. Carson Jennifer P. Elwell appointed U.S. District Court District Arizona leadership positions In re: Bard Implanted Port Catheter Products Liability Litigation, MDL No. 3081. The court appointed Mr. Carson Plaintiffs Executive Committee Ms. Elwell Plaintiffs Steering Committee.Berger Montague Logo PRNewsfotoBerger MontaguePRNewswireBerger Montague contacted hundreds individuals alleging injuries Bard port catheters.In August 2023, lawsuits filed federal courts nationwide alleging injuries caused Bard implanted port catheters consolidated federal court located Phoenix, Arizona discovery pretrial proceedings. The defendants cases include C.R. Bard, ., Bard Access Systems, ., Becton, Dickinson Co. On September 19, 2023, court began case issuing order appointing plaintiffs leadership team.The consolidated lawsuits involve personal injuries arising Bards alleged defective design, manufacture, sale implantable port catheter devices, including Bard PowerPort similar devices. The port catheter devices implantable vascular access device intended provide repeated access vascular delivery medication including limited chemotherapy, intravenous fluids, parenteral nutrition solutions, blood products, withdrawal blood samples.Bard port catheters surgically placed skin, typically chest, consist injection port catheter. The injection port raised center needle inserted. The plaintiffs allege devices defective prone fracture migration, cause collection of: fibrinous blood products, increasing risk thromboembolism; b microbes andor fungi, increasing risk infection sepsis. The plaintiffs allege device presents unreasonable risk lifethreatening injuries hemorrhage, thromboembolism, infection injuries infection sepsis, limb loss, organ failure death, cardiac arrhythmia, severe persistent pain, perforations tissue, vessels, organs, need surgeries remove defective device fragments fractured, resulting pieces catheter embedded artery, vein, organ, causing additional complications. It alleged catheter dislodges chemo port, medicine pool beneath skin, allowing tissue necrosis occur.The cases consolidated because, court explained, cases expected share factual questions arising allegations defendants manufacture catheter component port devices concentration barium sulfate high, reduces material integrity catheter causes injuries including catheter infection, fracture, thrombosis. Over 50 lawsuits filed expected thousands additional lawsuits filed.Berger Montague contacted hundreds individuals alleging injuries Bard port catheters similar devices manufactured companies. We honored represent clients look forward obtaining justice them, said Shanon Carson, Executive Shareholder Berger Montague. If person injured Bard port catheter device, contact information, encourage person relevant information concerning lawsuit well. We expect litigation swiftly.Please direct inquiries Berger Montagues Bard Port Catheter Litigation Team email portcatheterlitigation telephone 215 8753072. Additional information available at: Montague PCis national law firm headquartered Philadelphia offices Chicago, Minneapolis, San Diego, Toronto, Washington, D.C., Wilmington. Berger Montague litigates complex civil cases behalf plaintiffs federal state courts country. Berger Montague played lead roles major cases 53 years recovered 50 billion clients classes represented.Please :ShanonJ. Carson, Executive ShareholderJennifer P. Elwell, Senior CounselBerger Montague PCTelephone: 215 8753072Email: portcatheterlitigation original content download multimedia: Berger MontagueThe 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, .
| 2,023 |
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] | 1 | 198,019 |
https://www.13abc.com/prnewswire/2023/09/29/nimble-gravity-acquires-mdevz-strengthen-its-data-ai-software-engineering-capabilities/
| 2023-09-29T00:00:00 |
en
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Nimble Gravity Acquires mDEVZ to Strengthen Its Data, AI and Software Engineering Capabilities
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Nimble Gravity Acquires mDEVZ to Strengthen Its Data, AI and Software Engineering Capabilities
Skip to content13abc MarketplaceContestsCommunity CalendarOhio LotteryNewsFirst Alert WeatherWatch LiveLinks We MentionedThe NineUAW StrikeHomeCommunity CalendarSubmit Photos and VideoNewsAction News NowCrimeInvestigationNationalSpecial ReportsUAW StrikeYour 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 BarNimble Gravity Acquires mDEVZ to Strengthen Its Data, AI and Software Engineering CapabilitiesPublished: Sep. 29, 2023 at 8:30 AM EDT|Updated: 2 hours agoDENVER, Colo. and BUENOS AIRES, Argentina, Sept. 29, 2023 /PRNewswire/ -- Today, Nimble Gravity LLC and mDEVZ,announced that Nimble Gravity has successfully completed its acquisition of mDEVZ, a data science and application engineering consultancy based in Buenos Aires, Argentina. mDEVZ brings a deep heritage in finance, gaming, and retail and will expand Nimble Gravity's Data Science and Engineering practices, continuing the company's strategic 2023 growth initiative.mDEVZ strengthens Nimble Gravity's ability to help customers transform their businesses with AI, bringing both data science capabilities, additional expertise in application development and net new capabilities in computer vision, rendering & optimization, and Unity3D."We are excited to bring mDEVZ onboard as we continue to advance our growth strategy for 2023," said Tony Aug, co-founder, and chief executive officer of Nimble Gravity. "Their expertise in data science, artificial intelligence and software engineering will further strengthen our position in the market and enhance our ability to deliver comprehensive solutions to clients looking to leverage cutting-edge technology for their businesses.""We are proud of the results we've delivered to our customers during our 10- year history and are immensely appreciative of all their support," said Mauro Lopez, founder and CEO of mDEVZ. "Joining Nimble Gravity represents a unique opportunity for our team to scale the impact of our work to an even broader customer base. Together, we can drive forward the strategy and execute the most innovative tech solutions to achieve unparalleled success and to give our team new opportunities to grow their careers and deepen the valuable skills at the company."mDEVZ builds on Nimble Gravity's global operations, augmenting its team of professionals ready to tackle the hardest challenges businesses are facing in today's digital landscape.About Nimble Gravity:Founded in 2019, Nimble Gravity is an international consultancy firm that specializes in Strategy, E-Commerce, Digital Transformation, Data Science, Analytics, and BI, as well as Software Development and Tech Design. Nimble Gravity believes in the power of data and evidence-based approaches to drive growth, transform businesses, and create winning solutions for a diverse clientele.Headquartered in Denver, Colorado, with offices in Mexico City, Guadalajara, Buenos Aires, and Medellín, Nimble Gravity is a rapidly growing consulting firm ready to tackle the hardest challenges your business is facing.For more information, please contact [email protected] original content:https://www.prnewswire.com/news-releases/nimble-gravity-acquires-mdevz-to-strengthen-its-data-ai-and-software-engineering-capabilities-301942583.htmlSOURCE Nimble GravityThe 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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Nimble Gravity Acquires mDEVZ to Strengthen Its Data, AI and Software Engineering Capabilities
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Nimble Gravity Acquires mDEVZ Strengthen Its Data, AI Software Engineering Capabilities Skip content13abc MarketplaceContestsCommunity CalendarOhio LotteryNewsFirst Alert WeatherWatch LiveLinks We MentionedThe NineUAW StrikeHomeCommunity CalendarSubmit Photos VideoNewsAction News NowCrimeInvestigationNationalSpecial ReportsUAW StrikeYour 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 BarNimble Gravity Acquires mDEVZ Strengthen Its Data, AI Software Engineering CapabilitiesPublished: Sep. 29, 2023 8:30 AM EDTUpdated: 2 hours agoDENVER, Colo. BUENOS AIRES, Argentina, Sept. 29, 2023 PRNewswire Today,Nimble Gravity LLC mDEVZ,announced Nimble Gravity successfully completed acquisition mDEVZ, data science application engineering consultancy based Buenos Aires, Argentina. mDEVZ brings deep heritage finance, gaming, retail expand Nimble Gravitys Data Science Engineering practices, continuing companys strategic 2023 growth initiative.mDEVZ strengthens Nimble Gravitys ability help customers transform businesses AI, bringing data science capabilities, additional expertise application development net new capabilities vision, rendering optimization, Unity3D.We excited bring mDEVZ onboard continue advance growth strategy 2023, said Tony Aug, cofounder, chief executive officer Nimble Gravity. Their expertise data science, artificial intelligence software engineering strengthen position market enhance ability deliver comprehensive solutions clients looking leverage cuttingedge technology businesses.We proud results weve delivered customers 10year history immensely appreciative support, said Mauro Lopez, founder CEO mDEVZ. Joining Nimble Gravity represents unique opportunity team scale impact work broader customer base. Together, drive forward strategy execute innovative tech solutions achieve unparalleled success team new opportunities grow careers deepen valuable skills company.mDEVZ builds Nimble Gravitys global operations, augmenting team professionals ready tackle hardest challenges businesses facing todays digital landscape.About Nimble Gravity:Founded 2019, Nimble Gravity international consultancy firm specializes Strategy, ECommerce, Digital Transformation, Data Science, Analytics, BI, Software Development Tech Design. Nimble Gravity believes power data evidencebased approaches drive growth, transform businesses, create winning solutions diverse clientele.Headquartered Denver, Colorado, offices Mexico City, Guadalajara, Buenos Aires, Medelln, Nimble Gravity rapidly growing consulting firm ready tackle hardest challenges business facing.For information, contact sales original content: Nimble GravityThe 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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https://www.14news.com/prnewswire/2021/10/13/sparkbeyond-unveils-no-code-ai-analytics-platform-data-professionals/
| 2021-10-13T00:00:00 |
en
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SparkBeyond Unveils No-Code AI Analytics Platform For Data Professionals
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SparkBeyond Unveils No-Code AI Analytics Platform For Data Professionals
Skip to contentBirthday ClubAsk the ExpertA Better YouPet of the WeekCream of the Crop14 Job LinkNewsCoronavirusWeatherSportsBack to SchoolCalendarAbout 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 ForecastClosingsSkyVision HDSign Up Your School/Business/Organization for our Closing SystemSportsFootballViewer Photos & VideosScoresHealthCoronavirusPeace of MindTrafficCommunityCovering CoronavirusCream of the CropCalendarAnti BullyingTri-State TriumphsProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationFull Court Press with Greta Van SusterenGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationFull Court Press with Greta Van SusterenInvestigate TVCircle - Country Music & LifestylePress ReleasesSparkBeyond Unveils No-Code AI Analytics Platform For Data ProfessionalsAnalytics and data science teams can now leverage AI to uncover hidden insights in complex data, and build predictive models with no coding requiredPublished: Oct. 13, 2021 at 8:00 AM CDT|Updated: 39 minutes agoNEW YORK, Oct. 13, 2021 /PRNewswire/ -- SparkBeyond announced today the next iteration of "SparkBeyond Discovery," its AI analytics platform for next-generation problem-solving. Now data professionals can leverage SparkBeyond's sophisticated AI-driven platform to make better business decisions, faster.The new no-code platform, with a simplified user interface and embedded methodology, is now capable of faster discovery of novel insights and generation of predictive models. It explores millions of hypotheses per minute based on internal and external data sources to reveal previously unrecognized drivers of business and scenario outcomes, and explains its findings in natural language.Already some of the most prominent global companies are using SparkBeyond Discovery, including McKinsey, Baker McKenzie, Hitachi, PepsiCo, Santander and ABInBev."The demand for data skills has reached virtually every industry. What was once considered a domain for expert data scientists at large enterprise organizations is now in urgent demand across companies of all sizes," said Sagie Davidovich, CEO and co-founder, SparkBeyond. "Our new release is powerful yet intuitive enough that data professionals—including analysts at medium-sized and smaller organizations—can now harness the power of AI to quickly join multiple datasets, generate millions of hypotheses and create predictive models, unearthing unexpected drivers for better decision-making."Core benefits of the new SparkBeyond Discovery platform include:Automate and exhaust your search for insightsLeverage Automated Feature Engineering to instantly run millions of hypotheses on your data, finding signals where you wouldn't think to look.Join multiple, different data sources in a few clicksFrom time-series to text analysis to geo-spatial data, auto-connect most data types in their raw, granular form, without writing a single line of code.Augment your data by adding real-world contextSee the bigger picture by integrating SparkBeyond's curated database of world knowledge (maps, Wikipedia, demographics, etc).Collaborative UI for stronger resultsGenerate superior, enriched composite features in explainable, natural language, and examine a range of metrics on each feature for closer evaluation.No-code training, tuning and evaluation of ML modelsUse built-in Auto-ML to enhance predictive models at their core, improving model accuracy and accelerating time-to-value.Learn more about AI analytics with SparkBeyond Discovery:Watch the Video Read our CEO announcementAbout SparkBeyondSparkBeyond is on a mission to deepen and accelerate the human ability to solve complex problems on a global scale, combining breakthrough technology with human excellence in order to make better sense of operational, financial and social realities.Its flagship product, SparkBeyond Discovery, is the decision intelligence platform of top companies and consulting firms, as it catalyzes the analytics transformation with AI automation. Global industry leaders leverage SparkBeyond technology to extract novel insights out of data, develop new knowledge, and orchestrate solutions for their most pressing problems, driving lasting impact across a broad range of challenges.To learn more about SparkBeyond, please visit https://www.sparkbeyond.comView original content:https://www.prnewswire.com/news-releases/sparkbeyond-unveils-no-code-ai-analytics-platform-for-data-professionals-301399242.htmlSOURCE SparkBeyondThe 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 - © 2002-2021 Gray Television, Inc.
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SparkBeyond Unveils No-Code AI Analytics Platform For Data Professionals
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SparkBeyond Unveils NoCode AI Analytics Platform For Data Professionals Skip contentBirthday ClubAsk ExpertA Better YouPet WeekCream Crop14 Job LinkNewsCoronavirusWeatherSportsBack SchoolCalendarTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNationalSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosWeatherSWAT Mosquito ForecastClosingsSkyVision HDSign Up Your SchoolBusinessOrganization Closing SystemSportsFootballViewer Photos VideosScoresHealthCoronavirusPeace MindTrafficCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationFull Court Press Greta Van SusterenGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationFull Court Press Greta Van SusterenInvestigate TVCircle Country Music LifestylePress ReleasesSparkBeyond Unveils NoCode AI Analytics Platform For Data ProfessionalsAnalytics data science teams leverage AI uncover hidden insights complex data, build predictive models coding requiredPublished: Oct. 13, 2021 8:00 AM CDTUpdated: 39 minutes agoNEW YORK, Oct. 13, 2021 PRNewswire SparkBeyondannounced today iteration SparkBeyond Discovery, AI analytics platform nextgeneration problemsolving. Now data professionals leverage SparkBeyonds sophisticated AIdriven platform better business decisions, faster.The new nocode platform, simplified user interface embedded methodology, capable faster discovery novel insights generation predictive models. It explores millions hypotheses minute based internal external data sources reveal previously unrecognized drivers business scenario outcomes, explains findings natural language.Already prominent global companies SparkBeyond Discovery, including McKinsey, Baker McKenzie, Hitachi, PepsiCo, Santander ABInBev.The demand data skills reached virtually industry. What considered domain expert data scientists large enterprise organizations urgent demand companies sizes, said Sagie Davidovich, CEO cofounder, SparkBeyond. Our new release powerful intuitive data professionalsincluding analysts mediumsized smaller organizationscan harness power AI quickly join multiple datasets, generate millions hypotheses create predictive models, unearthing unexpected drivers better decisionmaking.Core benefits new SparkBeyond Discovery platform include:Automate exhaust search insightsLeverage Automated Feature Engineering instantly run millions hypotheses data, finding signals wouldnt think look.Join multiple, different data sources clicksFrom timeseries text analysis geospatial data, autoconnect data types raw, granular form, writing single line code.Augment data adding realworld contextSee bigger picture integrating SparkBeyonds curated database world knowledge maps, Wikipedia, demographics, etc.Collaborative UI stronger resultsGenerate superior, enriched composite features explainable, natural language, examine range metrics feature closer evaluation.Nocode training, tuning evaluation ML modelsUse builtin AutoML enhance predictive models core, improving model accuracy accelerating timetovalue.Learn AI analytics SparkBeyond Discovery:Watch Video Read CEO announcementAbout SparkBeyondSparkBeyond mission deepen accelerate human ability solve complex problems global scale, combining breakthrough technology human excellence order better sense operational, financial social realities.Its flagship product, SparkBeyond Discovery, decision intelligence platform companies consulting firms, catalyzes analytics transformation AI automation. Global industry leaders leverage SparkBeyond technology extract novel insights data, develop new knowledge, orchestrate solutions pressing problems, driving lasting impact broad range challenges.To learn SparkBeyond, visit original content: SparkBeyondThe 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 20022021 Gray Television, .
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] | 1 | 198,021 |
https://www.14news.com/prnewswire/2022/05/16/roviero-joins-arm-ai-partner-program-future-proof-ai-based-iot-solutions/
| 2022-05-16T00:00:00 |
en
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Roviero joins Arm AI Partner Program to future-proof AI-based IoT solutions
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Roviero joins Arm AI Partner Program to future-proof AI-based IoT solutions
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 ReleasesRoviero joins Arm AI Partner Program to future-proof AI-based IoT solutionsPublished: May. 16, 2022 at 6:57 AM CDT|Updated: 37 minutes agoSAN JOSE, Calif., May 16, 2022 /PRNewswire/ -- Roviero, a Silicon Valley provider of highly programmable and flexible AI compute is joining the Arm® AI Partner Program to bring AI and general-purpose compute as a packaged product to customers in the edge IoT space.Roviero logo (PRNewsfoto/Roviero Inc.)(PRNewswire)Roviero, Inc. an AI graph processor leader joins Arm AI Partner Program to future-proof AI-based IoT solutionsRoviero's CortiCore™ processor architecture is a leading Artificial Intelligence (AI) IP for edge System On Chip (SoC) solutions. CortiCore™ provides best in class power, area and programmability while scaling in performance from less than 1 TOPS to more than 500 TOPS.Roviero's CortiCore AI IP can be integrated seamlessly with Arm Cortex®-M microcontrollers and high-performance Cortex-A processors, to create edge-based computing devices with integrated machine learning capabilities. There are a plethora of SoC configurations that can be enabled due to configurable options provided by Roviero's IP. Software plays an important role in creating an edge computing device with machine learning capabilities and Roviero's software works seamlessly on Arm-based processors, providing end-to-end integration that can reduce time to market for our end customers."In talking to our customers we hear two key concerns in integrating AI IP in their SoC solutions – firstly, efforts needed by their team to integrate and maintain the associated runtime software and secondly future proofing the SoC against new requirements after the SoC has been built. Our team has created a solution based on Arm microcontrollers and associated software that addresses these concerns," said Ravi Setty, Snr Vice President of Engineering at Roviero.The CortiCore™ runtime software has been integrated with the Arm host software. With this, customers can instantiate CortiCore™ runtime software with the click of a button. With the instantiation, the application software gets access to the function calls to invoke the AI acceleration and get its response back – simplifying the AI acceleration when run on Arm-based solutions.As a CortiCore™ architecture extension Arm microcontrollers are embedded deep into the AI compute. Customers can pick which Arm microcontrollers they need depending on the application space. The runtime software on CortiCore™ seamlessly transfers control to the microcontroller and then back to the AI compute engines. Customers can use their own code on the microcontroller or use Roviero provided functions. The Arm microcontrollers embedded in the IP allow customers to run any custom functions that might be needed in future."As more developers look to incorporate AI into IoT devices, simplifying machine learning development is crucial," said Mohamed Awad, vice president of IoT and Embedded at Arm. "Through joining the Arm AI Partner Program, Roviero will help even more developers create the next generation of edge computing devices.""There is no doubt that AI is the technology needed to create the next generation of solutions and experiences. Roviero's goal is to innovate and work with our customers to implement AI in their SoCs that provides the best in class power, performance, area and programmability. With the high cost of building SoCs, our customers have a dire need to future-proof. By embedding Arm microcontrollers deep into the AI compute, our customers can be confident that they can run any future applications that need AI. We chose Arm because of multiple reasons, including the wide variety of processors for our customers to choose from, ease of integration into our IP and most of all the extensive Arm software ecosystem," said Deepak Mital, CEO at Roviero.Roviero is registered trademark of Roviero in the United States and/or other countries. The names of actual companies mentioned herein may be the trademarks of their respective owners.View original content to download multimedia:https://www.prnewswire.com/news-releases/roviero-joins-arm-ai-partner-program-to-future-proof-ai-based-iot-solutions-301547387.htmlSOURCE Roviero 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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Roviero joins Arm AI Partner Program to future-proof AI-based IoT solutions
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Roviero joins Arm AI Partner Program futureproof AIbased IoT solutions 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 ReleasesRoviero joins Arm AI Partner Program futureproof AIbased IoT solutionsPublished: May. 16, 2022 6:57 AM CDTUpdated: 37 minutes agoSAN JOSE, Calif., May 16, 2022 PRNewswire Roviero, Silicon Valley provider highly programmable flexible AI compute joining Arm AI Partner Program bring AI generalpurpose compute packaged product customers edge IoT space.Roviero logo PRNewsfotoRoviero .PRNewswireRoviero, . AI graph processor leader joins Arm AI Partner Program futureproof AIbased IoT solutionsRovieros CortiCore processor architecture leading Artificial Intelligence AI IP edge System On Chip SoC solutions. CortiCore provides best class power, area programmability scaling performance 1 TOPS 500 TOPS.Rovieros CortiCore AI IP integrated seamlessly Arm CortexM microcontrollers highperformance CortexA processors, create edgebased computing devices integrated machine learning capabilities. There plethora SoC configurations enabled configurable options provided Rovieros IP. Software plays important role creating edge computing device machine learning capabilities Rovieros software works seamlessly Armbased processors, providing endtoend integration reduce time market end customers.In talking customers hear key concerns integrating AI IP SoC solutions firstly, efforts needed team integrate maintain associated runtime software secondly future proofing SoC new requirements SoC built. Our team created solution based Arm microcontrollers associated software addresses concerns, said Ravi Setty, Snr Vice President Engineering Roviero.The CortiCore runtime software integrated Arm host software. With this, customers instantiate CortiCore runtime software click button. With instantiation, application software gets access function calls invoke AI acceleration response simplifying AI acceleration run Armbased solutions.As CortiCore architecture extension Arm microcontrollers embedded deep AI compute. Customers pick Arm microcontrollers need depending application space. The runtime software CortiCore seamlessly transfers control microcontroller AI compute engines. Customers use code microcontroller use Roviero provided functions. The Arm microcontrollers embedded IP allow customers run custom functions needed future.As developers look incorporate AI IoT devices, simplifying machine learning development crucial, said Mohamed Awad, vice president IoT Embedded Arm. Through joining Arm AI Partner Program, Roviero help developers create generation edge computing devices.There doubt AI technology needed create generation solutions experiences. Rovieros goal innovate work customers implement AI SoCs provides best class power, performance, area programmability. With high cost building SoCs, customers dire need futureproof. By embedding Arm microcontrollers deep AI compute, customers confident run future applications need AI. We chose Arm multiple reasons, including wide variety processors customers choose from, ease integration IP extensive Arm software ecosystem, said Deepak Mital, CEO Roviero.Roviero registered trademark Roviero United States andor countries. The names actual companies mentioned trademarks respective owners.View original content download multimedia: Roviero .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/2022/09/14/opptly-unveils-brand-refresh-reflecting-companys-ai-focus/
| 2022-09-14T00:00:00 |
en
|
Opptly Unveils Brand Refresh Reflecting Company's AI Focus
|
Opptly Unveils Brand Refresh Reflecting Company's AI Focus
Skip to contentBirthday ClubAsk the ExpertPenguin CamCream of the Crop14 Job LinkBusiness FAQNewsWeinbach ExplosionCoronavirusBack to SchoolWeatherSportsCalendarAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNationalSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosWeatherSWAT Mosquito ForecastSkyVision HDSign Up Your School/Business/Organization for our Closing SystemClosingsSign Up for Closings AccessSportsFootballViewer 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 ReleasesOpptly Unveils Brand Refresh Reflecting Company's AI FocusPublished: Sep. 14, 2022 at 11:55 AM CDT|Updated: 2 hours agoHOUSTON, Sept. 14, 2022 /PRNewswire/ -- Opptly, an AI leader and direct sourcing pioneer, has unveiled a refreshed brand reflecting its evolution as a tech company breaking boundaries in the workforce solutions space. Though the company's name and logo have not changed, Opptly's bold new look & feel represent a commitment to addressing clients' hiring challenges head-on with innovation and intent while also making it faster and easier for job seekers to connect with ideal career opportunities.(PRNewsfoto/Opptly)(PRNewswire)The new tagline, Talent Search Meets Talent Found, speaks to Opptly's influence in modernizing hiring strategies by combining the company's proprietary, purpose-built AI; intuitive user experience; and expert curation partners. For Opptly clients, the result is expanded access to talent as well as scale, acceleration, and enhanced accuracy of matches. On the other side of the hiring equation, job seekers connect with career opportunities that best fit their skills, experience, workstyle needs, and more, all within an app that aligns with the ways they already use today's direct-connect technologies.At the heart of Opptly's platform is its sophisticated AI, which leverages best-in-class data engineering and deep machine learning to provide advanced skills-based and success profile matching, career progression models, and more. Clients can enhance the value of their private talent communities by applying Opptly's technology or get immediate access to talent through Opptly's talent community. The combination of both provides the greatest reach to help companies win in an intensely competitive market for talent."The workforce solutions space is evolving rapidly. As a market-leading AI platform, Opptly continues to break boundaries and leverage our technology in progressive new ways, and our brand needed to reflect that," said Lori Hock, Opptly CEO. "The new Opptly brand is bolder in the way we look and the way we talk because our offerings are transformative in their ability to accelerate and improve the search for talent. We are a passionate team dedicated to effecting positive change for our clients and candidates through our AI, our focused approach, and our overall commitment to advancing the industry."Visit Opptly's new website at Opptly.ai.About OpptlyOpptly has revolutionized the way talent and work connect. With our purpose-built AI, intuitive user experience, and expert curation partners, Opptly has created a single platform that powers our direct sourcing solution and accelerates optimal matches between job seekers and hiring companies. We're changing the course of the workforce industry, using AI to effect positive change, and help companies win in an intensely competitive market for talent.Talent search meets talent found. Learn more at opptly.ai.Media Contact:David CooperInternal CommunicationsOpptly(817) [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/opptly-unveils-brand-refresh-reflecting-companys-ai-focus-301624536.htmlSOURCE OpptlyThe 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.
|
Opptly Unveils Brand Refresh Reflecting Company's AI Focus
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Opptly Unveils Brand Reflecting Companys AI Focus Skip contentBirthday ClubAsk ExpertPenguin CamCream Crop14 Job LinkBusiness FAQNewsWeinbach ExplosionCoronavirusBack SchoolWeatherSportsCalendarTVRiver 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 AccessSportsFootballViewer 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 ReleasesOpptly Unveils Brand Reflecting Companys AI FocusPublished: Sep. 14, 2022 11:55 AM CDTUpdated: 2 hours agoHOUSTON, Sept. 14, 2022 PRNewswire Opptly, AI leader direct sourcing pioneer, unveiled refreshed brand reflecting evolution tech company breaking boundaries workforce solutions space. Though companys logo changed, Opptlys bold new look feel represent commitment addressing clients hiring challenges headon innovation intent making faster easier job seekers connect ideal career opportunities.PRNewsfotoOpptlyPRNewswireThe new tagline, Talent Meets Talent Found, speaks Opptlys influence modernizing hiring strategies combining companys proprietary, purposebuilt AI; intuitive user experience; expert curation partners. For Opptly clients, result expanded access talent scale, acceleration, enhanced accuracy matches. On hiring equation, job seekers connect career opportunities best fit skills, experience, workstyle needs, more, app aligns ways use todays directconnect technologies.At heart Opptlys platform sophisticated AI, leverages bestinclass data engineering deep machine learning provide advanced skillsbased success profile matching, career progression models, more. Clients enhance value private talent communities applying Opptlys technology immediate access talent Opptlys talent community. The combination provides greatest reach help companies win intensely competitive market talent.The workforce solutions space evolving rapidly.As marketleading AI platform, Opptly continues break boundariesand leverage technology progressive new ways, andour brand needed reflect that, said Lori Hock, Opptly CEO. The new Opptly brand bolder way look way talk offerings transformative ability accelerate improve search talent. We passionate team dedicated effecting positive change clients candidates AI, focused approach, overall commitment advancing industry.Visit Opptlys new website Opptly.ai.About OpptlyOpptly revolutionized way talent work connect. With purposebuilt AI, intuitive user experience, expert curation partners, Opptly created single platform powers direct sourcing solution accelerates optimal matches job seekers hiring companies. Were changing course workforce industry, AI effect positive change, help companies win intensely competitive market talent.Talent search meets talent found. Learn opptly.ai.Media :David CooperInternal CommunicationsOpptly817 9997093dcooper original content download multimedia: OpptlyThe 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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https://www.14news.com/prnewswire/2023/02/23/vsblty-deploys-trio-updated-platform-capabilities-that-provide-enhanced-ai-analytics/
| 2023-02-23T00:00:00 |
en
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VSBLTY DEPLOYS TRIO OF UPDATED PLATFORM CAPABILITIES THAT PROVIDE ENHANCED AI ANALYTICS
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VSBLTY DEPLOYS TRIO OF UPDATED PLATFORM CAPABILITIES THAT PROVIDE ENHANCED AI ANALYTICS
Skip to contentPolar PlungeBirthday ClubAsk the ExpertPenguin CamCream of the Crop14 Job LinkBusiness FAQNewsSunrise ShoutoutElectionsNational NewsDec. 10 TornadoWeatherSportsCalendarAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsBasketballViewer 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 Releases5 weather alerts in effectDismiss Weather Alerts Alerts BarVSBLTY DEPLOYS TRIO OF UPDATED PLATFORM CAPABILITIES THAT PROVIDE ENHANCED AI ANALYTICSPublished: Feb. 23, 2023 at 6:10 AM CST|Updated: 45 minutes agoPHILADELPHIA, Feb. 23, 2023 /PRNewswire/ -- VSBLTY Groupe Technologies Corp. (OTCQB: VSBGF) (CSE: VSBY) (Frankfurt 5VS) ("VSBLTY"), a leading software provider of AI-driven security and retail analytics technology, is now deploying three updated platform capabilities that ease integration, enable advanced AI analytics and improve data provided to customers, it was announced today by Co-founder and CEO Jay Hutton.(PRNewsfoto/VSBLTY)(PRNewswire)VSBLTY Deploys Updated Platform CapabilitiesVSBLTY's next generation v.Next Customer Portal and Content Management System (CMS), built on extensible APIs, delivers greater scale and flexibility to address larger and more complex media and security networks. It also enables ease of integration with a variety of customer and third-party systems, according to Hutton. He said the system is designed to manage many networks of tens of thousands of endpoints/cameras/displays and enables integration with customer inventor and Ad/asset management systems, as well as integrates with Publisher Side Ad Servers.Hutton reported, "Our Big Data management and analytics platform provides secure multi-source data integration for contextual audience understanding, especially for use in delivering more targeted programmatic advertising, and enables advanced AI analytics for capabilities like consumer sentiment and predictive audience analytics." He said the multi-source integration includes audience analytics, Golden Record, 1st/3rd party data, as well as immediate point of sale information. "Soon we will be able to provide sentiment understanding from AI analysis, combining a shopper's expression, motion, pose and engagement with ads. Also the ability to provide predictive audience analytics that includes estimated optimal inventory/locations, day/time, for desired audience demographics and engagement levels," Hutton pointed out.Continuing the progressive improvements in the accuracy of the data the company provides customers, VSBLTY also announced today the release of "DataCaptor2", utilizing advanced state-of-the-art algorithms for anonymous audience monitoring and analytics."These dynamic capabilities take VSBLTY to a higher level of performance and enables us to provide deeper levels of information, in real time, to our customers," Hutton said.VSBLTY technology provides enhanced customer engagement and audience measurement using machine learning and computer vision. Its industry leading VisionCaptor™ and DataCaptor™ software combine motion graphics and interactive brand messaging with cutting-edge computer vision measurement and insights. VSBLTY's AI driven software Vector™ provides enhanced facial recognition that is crucial to strengthening today's security requirements when recognizing weapons or suspicious persons in a crowd.Investor RelationsCHF Capital MarketsCathy Hume, CEO, +1-416-868-1079, [email protected] AccessJonathan Paterson, [email protected] Farrell, [email protected]: Linda Rosanio, 609-472-0877 [email protected] VSBLTY (http://vsblty.net/)Headquartered in Philadelphia, VSBLTY (OTCQB: VSBGF) (CSE: VSBY) (Frankfurt: 5VS) (OTC: VSBGF) ("VSBLTY") is the world leader in Proactive Digital Display™, which transforms retail and public spaces as well as place-based media networks with SaaS-based audience measurement and security software that uses artificial intelligence and machine learning. Its proprietary technology effectively integrates with other digital retail solutions, including QR codes and mobile applications. The firm is also recognized for its leadership role in the growing Store as a Medium movement that enables brands to reach customers when and where buying decisions are being made while producing a new revenue stream for retailers.View original content to download multimedia:https://www.prnewswire.com/news-releases/vsblty-deploys-trio-of-updated-platform-capabilities-that-provide-enhanced-ai-analytics-301754089.htmlSOURCE VSBLTYThe 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 - © 2002-2023 Gray Television, Inc.
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VSBLTY DEPLOYS TRIO OF UPDATED PLATFORM CAPABILITIES THAT PROVIDE ENHANCED AI ANALYTICS
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VSBLTY DEPLOYS TRIO OF UPDATED PLATFORM CAPABILITIES THAT PROVIDE ENHANCED AI ANALYTICS Skip contentPolar PlungeBirthday ClubAsk ExpertPenguin CamCream Crop14 Job LinkBusiness FAQNewsSunrise ShoutoutElectionsNational NewsDec. 10 TornadoWeatherSportsCalendarTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsBasketballViewer 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 Releases5 weather alerts effectDismiss Weather Alerts Alerts BarVSBLTY DEPLOYS TRIO OF UPDATED PLATFORM CAPABILITIES THAT PROVIDE ENHANCED AI ANALYTICSPublished: Feb. 23, 2023 6:10 AM CSTUpdated: 45 minutes agoPHILADELPHIA, Feb. 23, 2023 PRNewswire VSBLTY Groupe Technologies Corp. OTCQB: VSBGF CSE: VSBY Frankfurt 5VS VSBLTY, leading software provider AIdriven security retail analytics technology, deploying updatedplatform capabilities ease integration, enable advanced AI analytics improve data provided customers, announced today Cofounder CEO Jay Hutton.PRNewsfotoVSBLTYPRNewswireVSBLTY Deploys Updated Platform CapabilitiesVSBLTYs generation v.Next Customer Portal Content Management System CMS, built extensible APIs, delivers greater scale flexibility address larger complex media security networks. It enables ease integration variety customer thirdparty systems, according Hutton. He said designed manage networks tens thousands endpointscamerasdisplays enables integration customer inventor Adasset management systems, integrates Publisher Side Ad Servers.Hutton reported, Our BigData management analytics platform provides secure multisource data integration contextual audience understanding, especially use delivering targeted programmatic advertising, enables advanced AI analytics capabilities like consumer sentiment predictive audience analytics. He said multisource integration includes audience analytics, Golden Record, 1st3rd party data, immediate point sale information. Soon able provide sentiment understanding AI analysis, combining shoppers expression, motion, pose engagement ads. Also ability provide predictive audience analytics includes estimated optimal inventorylocations, daytime, desired audience demographics engagement levels, Hutton pointed out.Continuing progressive improvements accuracy data company provides customers, VSBLTY announced today release DataCaptor2, utilizing advanced stateoftheart algorithms anonymous audience monitoring analytics.These dynamic capabilities VSBLTY higher level performance enables provide deeper levels information, real time, customers, Hutton said.VSBLTY technology provides enhanced customer engagement audience measurement machine learning vision. Its industry leading VisionCaptor DataCaptor software combine motion graphics interactive brand messaging cuttingedge vision measurement insights. VSBLTYs AI driven software Vector provides enhanced facial recognition crucial strengthening todays security requirements recognizing weapons suspicious persons crowd.Investor RelationsCHF Capital MarketsCathy Hume, CEO, 14168681079, x251cathy AccessJonathan Paterson, 4754779401Jonathan.Paterson Farrell, 14168429003Graham.Farrell Linda Rosanio, 6094720877lrosanio VSBLTY Philadelphia, VSBLTY OTCQB: VSBGF CSE: VSBY Frankfurt: 5VS OTC: VSBGF VSBLTY world leader Proactive Digital Display, transforms retail public spaces placebased media networks SaaSbased audience measurement security software uses artificial intelligence machine learning. Its proprietary technology effectively integrates digital retail solutions, including QR codes mobile applications. The firm recognized leadership role growing Store Medium movement enables brands reach customers buying decisions producing new revenue stream retailers.View original content download multimedia: VSBLTYThe 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 20022023 Gray Television, .
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] | 1 | 198,024 |
https://www.14news.com/prnewswire/2023/07/25/artificial-intelligence-models-predict-multiple-sclerosis-detect-contaminated-lab-samples/
| 2023-07-25T00:00:00 |
en
|
Artificial Intelligence Models Predict Multiple Sclerosis, Detect Contaminated Lab Samples
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Artificial Intelligence Models Predict Multiple Sclerosis, Detect Contaminated Lab Samples
Skip to contentBirthday ClubCream of the CropAsk the ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsBack to SchoolSunrise ShoutoutElectionsNational NewsSpecial CoveragePeace of MindWeatherSportsAbout UsTVRiver City WeekendHomeFollow UsWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now at NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your Photos/VideosPeace of MindClick Here for ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin LoginSportsBasketballViewer Photos & VideosScoresStats & PredictionsHow to WatchClosingsSign Up for Closings AccessClosings Admin LoginHealthCoronavirusCommunityCovering CoronavirusCream of the CropCalendarAnti BullyingTri-State TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle - Country Music & LifestyleInvestigate TVPowerNationGray DC BureauAbout UsJobs at 14 NewsContact UsMeet the TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle - Country Music & LifestylePress ReleasesArtificial Intelligence Models Predict Multiple Sclerosis, Detect Contaminated Lab SamplesPublished: Jul. 25, 2023 at 11:30 AM CDT|Updated: 2 hours agoBreaking results from two studies to be presented at 2023 AACC Annual Scientific Meeting & Clinical Lab Expo ANAHEIM, Calif., July 25, 2023 /PRNewswire/ -- A new artificial intelligence model can predict people's risk of multiple sclerosis years before diagnosis, potentially enabling quicker treatment, according to research revealed today at the 2023 AACC Annual Scientific Meeting & Clinical Lab Expo. Another breaking study demonstrates how machine learning can help detect lab samples contaminated with intravenous fluids—a finding that could reduce lab errors that delay diagnosis and raise healthcare costs.ADLM logo (PRNewsfoto/ADLM)(PRNewswire)Taken together, the results highlight key advances in the use of artificial intelligence and machine learning to improve patient care.AI Model Harnesses Patient Data to Predict Multiple Sclerosis RiskMultiple sclerosis is a disease of the nervous system that affects more than 2.8 million people worldwide. Scientists don't fully understand what causes the condition but link its development to autoimmunity—when a person's immune system mistakenly damages healthy cells—along with genetics, Epstein-Barr virus, and other factors. Currently, clinicians diagnose multiple sclerosis with imaging, studies of cerebrospinal fluid, and clinical history. But early-detection methods are desired because they could help patients start treatment sooner and slow the disease's progression.A team led by Raj Gopalan, MD, at Siemens Healthineers in Tarrytown, New York, trained machine-learning models to predict people's risk of multiple sclerosis. They harnessed more than 3,000 sets of data from the electronic health records of patients with and without multiple sclerosis from Beth Israel Deaconess Medical Center in Boston. Their "random forest model" parses data on a patient's age, gender, blood markers, and metabolic data, gathered up to three years before diagnosis.The model was highly accurate and demonstrated strong predictive power. Most of the model's ability to distinguish at-risk patients came from blood measurements of neutrophils, red blood cells, and other markers. These predictions remained consistent for as long as three years before the patients were diagnosed."Our model's performance suggests that AI-based prediction models could identify the risk for multiple sclerosis years before neurological symptoms appear," Gopalan said. "This could reveal which patients should be monitored for periodic neurological and cognitive exams when symptoms appear," he said. "In addition, early confirmation of the diagnosis with imaging and cerebrospinal fluid studies could facilitate disease-modifying treatment."Machine Learning Flags Potentially Contaminated Lab ResultsScientists are also applying machine learning to uncover potential contamination in lab samples that could skew test results. When a sample is collected directly from intravenous (IV) catheters instead of a fresh blood draw, the fluid within the catheter can lead to erroneous lab results that slow diagnosis, raise healthcare costs, and lead to improper treatments. Current methods to detect contaminated samples aren't always accurate and require technicians to perform labor-intensive manual analysis.Using a technique called "mixture-of-experts" modeling, researchers have now created a machine-learning pipeline that can identify cases of IV fluid contamination that went undetected by manual methods. The team, led by Nicholas Spies, MD, at Washington University School of Medicine in St. Louis, aggregated more than 9,600,000 chemistry results from patients and simulated IV fluid contamination in some of the samples with common IV solutions. After training various machine-learning models using the simulated results, the scientists generated a final set of predictions.The models detected meaningful contamination in several thousand samples. Spies said that the pipeline can detect about 5 to 10 times as many contaminated specimens as his group's current approach. Furthermore, many of these tests evaded being previously flagged with manual methods–up to 94% in the case of samples contaminated with a solution called lactated Ringer's."While this won't immediately reduce the number of contaminated tests, it will hopefully substantially reduce the operational and clinical impact of these events when they do happen, and provide us with a better quality metric with which we can prioritize areas for improvement initiatives," Spies said.About the 2023 AACC Annual Scientific Meeting & Clinical Lab ExpoThe 2023 AACC Annual Scientific Meeting offers 5 days packed with opportunities to learn about exciting science from July 23-27 in Anaheim, California. Plenary sessions will explore microbiome-directed therapies for undernutrition, big data for practicing precision medicine, healthcare equity, cardiovascular disease in women, and promising sickle cell disease treatments.At the Clinical Lab Expo, more than 900 exhibitors will fill the show floor of the Anaheim Convention Center in Anaheim, California, with displays of the latest diagnostic technology, including but not limited to COVID-19 testing, artificial intelligence, point-of-care, and automation.About the Association for Diagnostics & Laboratory Medicine (ADLM) Dedicated to achieving better health through laboratory medicine, ADLM (formerly AACC) brings together more than 70,000 clinical laboratory professionals, physicians, research scientists, and business leaders from around the world focused on clinical chemistry, molecular diagnostics, mass spectrometry, translational medicine, lab management, and other areas of progressing laboratory science. Since 1948, ADLM has worked to advance the common interests of the field, providing programs that advance scientific collaboration, knowledge, expertise, and innovation. For more information, visit www.myadlm.org.Bill MaloneAACCDirector, Communications & News Publications(p) [email protected] PolenAACCSenior Director, Communications & PR(p) 202.420.7612(c) [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/artificial-intelligence-models-predict-multiple-sclerosis-detect-contaminated-lab-samples-301883543.htmlSOURCE ADLMThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.NewsWeatherSportsContact UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720(812) 426-1414Terms of ServicePrivacy PolicyPublic Inspection [email protected] - 812-426-1414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed Captioning/Audio DescriptionWFIE CareersAt Gray, our journalists report, write, edit and produce the news content that informs the communities we serve. Click here to learn more about our approach to artificial intelligence.A Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
|
Artificial Intelligence Models Predict Multiple Sclerosis, Detect Contaminated Lab Samples
|
Artificial Intelligence Models Predict Multiple Sclerosis, Detect Contaminated Lab Samples Skip contentBirthday ClubCream CropAsk ExpertPenguin Cam14 Job LinkBusiness FAQRiver City WeekendOne Tank TripNewsBack SchoolSunrise ShoutoutElectionsNational NewsSpecial CoveragePeace MindWeatherSportsTVRiver City WeekendHomeWatch Live14 News NowDownload 14 News AppsPrevious Newscasts14 News Now NoonElection ResultsNewsEditorialElectionsKentucky NewsPoliticsCinema ChatIllinois NewsIndiana NewsNational NewsSpecial CoverageSunrise ShoutoutSunrise School SpiritSend Us Your PhotosVideosPeace MindClick Here ResourcesWeatherSWAT Mosquito ForecastSkyVision HDClosings Admin SportsBasketballViewer Photos VideosScoresStats PredictionsHow WatchClosingsSign Up Closings AccessClosings Admin HealthCoronavirusCommunityCovering CoronavirusCream CropCalendarAnti BullyingTriState TriumphsTrafficProgramming14News Streaming AppsProgramming ScheduleCircle Country Music LifestyleInvestigate TVPowerNationGray DC BureauJobs 14 News UsMeet TeamLatest NewscastsGray DC BureauPowerNationInvestigateTVCircle Country Music LifestylePress ReleasesArtificial Intelligence Models Predict Multiple Sclerosis, Detect Contaminated Lab SamplesPublished: Jul. 25, 2023 11:30 AM CDTUpdated: 2 hours agoBreaking results studies presented 2023 AACC Annual Scientific Meeting Clinical Lab ExpoANAHEIM, Calif., July 25, 2023 PRNewswire A new artificial intelligence model predict peoples risk multiple sclerosis years diagnosis, potentially enabling quicker treatment, according research revealed today 2023AACC Annual Scientific Meeting Clinical Lab Expo. Another breaking study demonstrates machine learning help detect lab samples contaminated intravenous fluidsa finding reduce lab errors delay diagnosis raise healthcare costs.ADLM logo PRNewsfotoADLMPRNewswireTaken together, results highlight key advances use artificial intelligence machine learning improve patient care.AI Model Harnesses Patient Data Predict Multiple Sclerosis RiskMultiple sclerosis disease nervous affects 2.8 million people worldwide. Scientists dont fully understand causes condition link development autoimmunitywhen persons immune mistakenly damages healthy cellsalong genetics, EpsteinBarr virus, factors. Currently, clinicians diagnose multiple sclerosis imaging, studies cerebrospinal fluid, clinical history. But earlydetection methods desired help patients start treatment sooner slow diseases progression.A team led Raj Gopalan, MD, Siemens Healthineers Tarrytown, New York, trained machinelearning models predict peoples risk multiple sclerosis. They harnessed 3,000 sets data electronic health records patients multiple sclerosis Beth Israel Deaconess Medical Center Boston. Their random forest model parses data patients age, gender, blood markers, metabolic data, gathered years diagnosis.The model highly accurate demonstrated strong predictive power. Most models ability distinguish atrisk patients came blood measurements neutrophils, red blood cells, markers. These predictions remained consistent long years patients diagnosed.Our models performance suggests AIbased prediction models identify risk multiple sclerosis years neurological symptoms appear, Gopalan said. This reveal patients monitored periodic neurological cognitive exams symptoms appear, said. In addition, early confirmation diagnosis imaging cerebrospinal fluid studies facilitate diseasemodifying treatment.Machine Learning Flags Potentially Contaminated Lab ResultsScientists applying machine learning uncover potential contamination lab samples skew test results. When sample collected directly intravenous IV catheters instead fresh blood draw, fluid catheter lead erroneous lab results slow diagnosis, raise healthcare costs, lead improper treatments. Current methods detect contaminated samples arent accurate require technicians perform laborintensive manual analysis.Using technique called mixtureofexperts modeling, researchers created machinelearning pipeline identify cases IV fluid contamination went undetected manual methods. The team, led Nicholas Spies, MD, Washington University School Medicine St. Louis, aggregated 9,600,000 chemistry results patients simulated IV fluid contamination samples common IV solutions. After training machinelearning models simulated results, scientists generated final set predictions.The models detected meaningful contamination thousand samples. Spies said pipeline detect 5 10 times contaminated specimens groups current approach. Furthermore, tests evaded previously flagged manual methodsup 94 case samples contaminated solution called lactated Ringers.While wont immediately reduce number contaminated tests, hopefully substantially reduce operational clinical impact events happen, provide better quality metric prioritize areas improvement initiatives, Spies said.About 2023 AACC Annual Scientific Meeting Clinical Lab ExpoThe 2023 AACC Annual Scientific Meeting offers 5 days packed opportunities learn exciting science July 2327 Anaheim, California. Plenary sessions explore microbiomedirected therapies undernutrition, big data practicing precision medicine, healthcare equity, cardiovascular disease women, promising sickle cell disease treatments.At Clinical Lab Expo, 900 exhibitors floor Anaheim Convention Center Anaheim, California, displays latest diagnostic technology, including limited COVID19 testing, artificial intelligence, pointofcare, automation.About Association Diagnostics Laboratory Medicine ADLMDedicated achieving better health laboratory medicine, ADLM AACC brings 70,000 clinical laboratory professionals, physicians, research scientists, business leaders world focused clinical chemistry, molecular diagnostics, mass spectrometry, translational medicine, lab management, areas progressing laboratory science. Since 1948, ADLM worked advance common interests field, providing programs advance scientific collaboration, knowledge, expertise, innovation. For information, visit MaloneAACCDirector, Communications News Publicationsp 202.835.8756bmalone PolenAACCSenior Director, Communications PRp 202.420.7612c 703.598.0472mpolen original content download multimedia: ADLMThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .NewsWeatherSports UsWFIE1115 Mt. Auburn RoadEvansville, IN 47720812 4261414Public Inspection Filepublicfile 8124261414FCC Public File HelpFCC ApplicationsEEO ReportAdvertisingDigital AdvertisingClosed CaptioningAudio DescriptionWFIE CareersAt Gray, journalists report, write, edit produce news content informs communities serve. Click learn approach artificial intelligence.A Gray Media Group, . Station 20022023 Gray Television, .
| 2,023 |
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https://www.3newsnow.com/news/national/microsoft-makes-reductions-in-ethics-ai-team-amid-chatgpt-work
| 2023-03-17T00:00:00 |
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Microsoft makes reductions in ethics AI team amid ChatGPT work
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Microsoft makes reductions in ethics AI team amid ChatGPT work
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Microsoft makes reductions in ethics AI team amid ChatGPT work
Microsoft says it hasn't "de-invested" in its ethics team as it pursues its ChatGPT AI project. Reports pointed to layoffs in that area.
AP
By:
Douglas Jones
Posted at 9:54 PM, Mar 16, 2023
and last updated 2023-03-16 22:54:18-04
Amid recent layoffs at Microsoft, some 10,000 employees were affected across the global corporation. Part of that 5% cut of the company's workforce included employees with Microsoft's ethics and society department. The outlet Platformer, which focuses on Silicon Valley's place in the country and how it works within the framework of U.S. legislation, reported that as Microsoft continues to build up its ChatGPT AI project, it made its "entire ethics and society team within the artificial intelligence organization" redundant. Microsoft responded to the report sharing a statement with Scripps News that said, "As we shared with Platformer, the story as written leaves the impression that Microsoft has de-invested broadly in responsible AI, which is not the case."As Ars Technica reported, largely citing Platformer's source, information pointed to a cut in the "entire team" that ensures Microsoft's AI products come with safeguards that try to mitigate harms to society. The team's work included the creation of a "Responsible Innovation Practices Toolkit" meant to put a set of practices in place based on learnings. Additional practices were meant to be added to that to help mitigate any potential harms, according to a post from Mira Lane, who worked with the Ethics and Society team at Microsoft at the time the post was made. That kit included various principles for responsible AI like "fairness," "reliability and safety," "privacy and security" and other items that would be expected from a tech company, to keep innovative tools from harming users. As Reuters reported, the Platformer report on the cuts to the ethics team at Microsoft was published ahead of a release from OpenAI on a powerful model called GPT-4 that would help power the Bing search engine. But Microsoft told Scripps News that the "initial work" of the Ethics and Society team helped "spur the interdisciplinary way in which" the company works "across research, policy, and engineering across Microsoft." This suggests that the company found the team's work, up until that point, sufficient, as it moved forward in an amended direction. The statement said, "The Ethics and Society team played a key role at the beginning of our responsible AI journey, incubating the culture of responsible innovation that Microsoft’s leadership is committed to." Microsoft says it has "hundreds" of employees currently working on "responsible AI considerations into" its "engineering systems and processes."As Ars Technica noted, critics of the cuts aren't convinced.Emily Bender, a scholar on computational linguistics and ethics issues at the University of Washington, says what struck her most about the Platformer report is the claim that executives with Microsoft described "the urgency to move 'AI models into the hands of customers."The belief is that powerful artificial intelligence models like GPT-4 are the first building blocks for the inevitable proliferation of human-like technology to compete in the world. As Lane wrote, "As a profession known for prioritizing human needs, design thinking is vital for building an ethical future. Expanding human-centered design to emphasize trust and responsibility is equally vital."According to Platformer, John Montgomery, Microsoft's corporate vice president of AI, reportedly told employees after the reorganization that he wanted to see them take the most recent openAI models and "move them into customers hands at a very high speed."The report said at least one member of the team said on a call, “I'm going to be bold enough to ask you to please reconsider this decision.”The employee reportedly said, the "team has always been deeply concerned about is how we impact society and the negative impacts that we've had. And they are significant.”Trending stories at Scrippsnews.comAnalyzing how a U.S. reconnaissance drone was downedChina says US is spreading disinformation, suppressing TikTokResearchers develop tiny robot that can travel through blood vessels
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Microsoft makes reductions in ethics AI team amid ChatGPT work
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Microsoft makes reductions ethics AI team amid ChatGPT work 1 weather alerts 1 closingsdelays Watch Now Watch Now 1 weather alerts 1 closingsdelays Menu site Watch Now Watch Now Close x Live Watch Alerts site Go News Election 2022 Local National Politics 3 News Now Investigators Adoption Option Restaurant Hoppen 3 News Now Travels Heartland Education Faturday Food Finds Coronavirus Latest Update Military Appreciation Month News Literacy Project Spelling Bee The Rebound America Crisis Back School Skytracker 3 September 11 Submit News Tips Shop Heartland Weather Daily Forecast Radar Hourly Forecast 7Day Forecast Weather Cams Closings Delays Weather Alerts Weather Blog Sports College World Series Boys High School Basketball Girls High School Basketball Creighton Basketball Creighton Volleyball Nebraska Basketball Nebraska Football Nebraska Volleyball UNO Sports Sports Traffic Coronavirus One Year Later Cheap Eats Positively Heartland Mission:Service Wellness Check Two Americas Money Dont Waste Your Money Financial Fitness Business News Cheap Eat Entertainment TV Listings Moving Forward Business Spotlight Home Pros Locally Owned Locally Loved Your Health Matters Marketplace Home Pros Your Health Matters Locally Owned Locally Loved Contests Pet photo submissions Us Staff Jobs TV Listings Newsletters Sign OutManage Emails Apps Careers Weather Sports Local News Positively Heartland Cheap Eats Mission: Service Warmth Winter Latest Update Home Pros Contests Quick links... Weather Sports Local News Positively Heartland Cheap Eats Mission: Service Warmth Winter Latest Update Home Pros Contests 1 weather alerts 1 closingsdelays NewsNational Actions Facebook Tweet Email Microsoft makes reductions ethics AI team amid ChatGPT work Microsoft says deinvested ethics team pursues ChatGPT AI project. Reports pointed layoffs area. AP By: Douglas Jones Posted 9:54 PM, Mar 16, 2023 updated 20230316 22:54:1804 Amid recent layoffs Microsoft, some10,000 employeeswere affected global corporation.Part 5 cut companys workforce included employees Microsofts ethics society department.The outlet Platformer, focuses Silicon Valleys place country works framework U.S. legislation, reported Microsoft continues build ChatGPT AI project, entire ethics society team theartificial intelligence organization redundant.Microsoft responded report sharing statement Scripps News said, As shared Platformer, story written leaves impression Microsoft deinvested broadly responsible AI, case.As Ars Technicareported, largely citing Platformers source, information pointed cut entire team ensures Microsofts AI products come safeguards try mitigate harms society.The teams work included creation Responsible Innovation Practices Toolkit meant set practices place based learnings. Additional practices meant added help mitigate potential harms,according postfrom Mira Lane, worked Ethics Society team Microsoft time post made.That kit included principles responsible AI like fairness, reliability safety, privacy security items expected tech company, innovative tools harming users.As Reutersreported, Platformer report cuts ethics team Microsoft published ahead release OpenAI powerful model called GPT4 help power Bing search engine.But Microsoft told Scripps News initial work Ethics Society team helped spur interdisciplinary way company works research, policy, engineering Microsoft. This suggests company teams work, point, sufficient, moved forward amended direction.The statement said, The Ethics Society team played key role beginning responsible AI journey, incubating culture responsible innovation Microsofts leadership committed to.Microsoft says hundreds employees currently working responsible AI considerations engineering systems processes.As Ars Technica noted, critics cuts arent convinced.Emily Bender, scholar computational linguistics ethics issues University Washington, says struck mostabout Platformer report claim executives Microsoft described urgency AI models hands customers.The belief powerful artificial intelligence models like GPT4 building blocks inevitable proliferation humanlike technology compete world.As Lane wrote, As profession known prioritizing human needs, design thinking vital building ethical future. Expanding humancentered design emphasize trust responsibility equally vital.According toPlatformer, John Montgomery, Microsofts corporate vice president AI, reportedly told employees reorganization wanted recent openAI models customers hands high speed.The report said member team said call, Im going bold ask reconsider decision.The employee reportedly said, team deeply concerned impact society negative impacts weve had. And significant.Trending stories Scrippsnews.comAnalyzing U.S. reconnaissance drone downedChina says US spreading disinformation, suppressing TikTokResearchers develop tiny robot travel blood vessels Scripps News 2023 Sign Headlines Newsletter receive date information. signed receive Headlines Newsletter. Click manage Newsletters Weather 3:32 PM, Oct 04, 2018 News Sports Weather Dont Waste Your Money Support Sitemap Privacy Center Journalism Ethics Guidelines Terms Use EEO Careers FCC Public File FCC Public File FCC Application Accessibility Statement Closed Captioning Social 3NewsNow 3newsnow?hl=en 3NewsNowOmaha Scripps Local Media 2023 Scripps Media, Give Light People Will Find Their Own Way
| 2,023 |
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https://www.abc.net.au/news/2023-01-24/what-is-chatgpt-how-can-it-be-detected-by-school-university/101884388
| 2023-01-23T00:00:00 |
en
|
What is ChatGPT and why are schools and universities so worried about it? - ABC News
|
What is ChatGPT and why are schools and universities so worried about it? - ABC News
Skip to main contentABC News HomepageSearchLoadingMore from ABCMore from ABCClose menuABCiviewListenABC HomeNewsLocal & RadioiviewEverydayMoreEditorial PoliciesRead our editorial guiding principlesAccessibilityHelpContact UsAbout the ABCPrivacy PolicyTerms of Use© 2023 ABCJust InWatch LiveCoronavirusPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckOtherNews HomeABC News HomepageWhat is ChatGPT and why are schools and universities so worried about it?ShareNews TickerLive blogCatch up with The Loop, your quick wrap of this morning's newsFlood warningFor the latest flood and weather warnings, search on ABC EmergencyLive blogKeep up with the latest ASX and business newsTennis live scoresKeep across all the live scores and results from the Australian Open at Melbourne Park1 / of 4 Get breaking news alerts directly to your phone with our appWhat is ChatGPT and why are schools and universities so worried about it?By Janelle MilesPosted 1h ago1 hours agoMon 23 Jan 2023 at 7:38pm Schools and universities are wary of students using ChatGPT to cheat.(Photo by Jan Baborák on Unsplash)Help keep family & friends informed by sharing this articleabc.net.au/news/what-is-chatgpt-how-can-it-be-detected-by-school-university/101884388Copy linkShareType in any prompt or question and you will receive an eloquently worded answer that's (mostly) accurate.Generative AI ChatGPT offers endless opportunities to seek an answer to any question you've ever had, but its creation has also been met with concern.What is ChatGPT?ChatGPT — or Chat Generative Pre-Trained Transformer — is a chatbot that was launched by OpenAI, an artificial intelligence research and deployment company, in November 2022.It is a language model that can generate realistic, human-like text. An example of what ChatGPT will generate from a text prompt.(Supplied: OpenAI)ChatGPT can be used in language translation and to summarise large chunks of text to give a precis of an article.It can also generate text responses on any subject when prompted, making it useful as a chatbot for customer service.Why are schools and universities worried about it? Professor Leonie Rowan sees huge potential in ChatGPT.(Supplied: Leonie Rowan)The big concern is that ChatGPT could potentially be used by university and school students to cheat on written assignments without being detected.It's been described as akin to students outsourcing their homework to robots.But some educators have also spoken about harnessing the existence of ChatGPT as a major opportunity to make assessments more authentic, mirroring challenges students may face in the real world.This would require a radical rethink of school and university assessment to make it much more difficult to plagiarise.Griffith Institute for Educational Research director Leonie Rowan said ChatGPT also had the potential to improve learning outcomes for disadvantaged children who did not have access to tutors."There's a lot of positive dimensions," Professor Rowan said."It's got huge potential."This might be an opportunity to help, for example, kids with language backgrounds other than English, culturally and linguistically diverse learners, refugee kids."How will educators know if students are using it?In response to the launch of ChatGPT, an online tool capable of detecting artificial-intelligence-generated material has already emerged, dubbed AICheatCheck.It uses its own artificial intelligence models to predict if text has been written by a human or a machine, based on word choice and sentence structure.A Queensland Department of Education spokesperson said it had blocked ChatGPT for students on the department's network until it could be fully "assessed for appropriateness"."Misuse of artificial intelligence by a student may be considered academic misconduct or a technology violation," a spokesperson for the department said."As part of their policies and guidelines, it is also important for schools to educate students about the ethical and academic implications of using AI to complete assignments."Should ChatGPT be banned by schools and universities?Professor Rowan advocates embracing the technology, rather than banning it."I can understand why banning it looks like a simple and quick solution," she said."But you can't lock people up away from the world, you can't ban kids from the world."I don't think it should be banned. I don't think it can be banned."Let's get curious before we get scared. Humans are amazing. We learned how to use fire to our advantage, and how to make life better thanks to all sorts of technological advantages."I'm optimistic about the present and the future with ChatGPT."AI tool can pass medical school examsNow, with the first term just weeks away, educators are scrambling to rethink how they assess students.Read moreProfessor Rowan said there was no evidence that the emergence of ChatGPT would lead to a "tsunami of cheating".And she said there were already people writing assignments for students before the emergence of ChatGPT."That's already an industry," she said."[ChatGPT] is an opportunity for us to think about, 'Wow, what is this amazing new space going to allow us to do and encourage us to do in new kinds of ways?'"Maybe this is a wake-up call that our assessments do need to be more individualised."Besides education, how can ChatGPT be used for good?Professor Rowan said the chatbot had implications for people trying "to navigate all sorts of foreign systems".For example, it has huge potential to help people, such as those from culturally and linguistically diverse backgrounds, write job applications.Posted 1h ago1 hours agoMon 23 Jan 2023 at 7:38pmShareCopy linkFacebookTwitterRelated Stories'Bigger than the pandemic': This new AI tool promises to disrupt student assessmentMore on:Artificial IntelligenceAustraliaEducationQLDSchoolsUniversityTop StoriesTens of thousands of serious incidents reported to aged care watchdog under new schemeCongressman suggests sending jointly operated US submarine to Australia as AUKUS announcement loomsAutism may be risk factor for sexual abuse, but Grace Tame considers being autistic empoweringA contentious bill could be life-changing for Jasper. But it has left two nations at loggerheadsThis drug giant was warned over 'significant' manufacturing violations. What does this mean for Australian imports?Californian man hailed a hero after disarming Monterey Park shooterliveElon Musk takes stand in trial over his tweets, and the Earth's core might have reversed. Catch up with The LoopEven under an injury cloud, Novak Djokovic shows he's a class above in de Minaur thrashingSenator urges alcohol industry to limit sales across the Northern Territory amid rising crime'It was imperative to ease the mind': Families welcome funding for stillbirth autopsiesPolice made thousands of secret recordings of man accused of killing campers in VictoriaNot even Centrelink's 'God' could help sort out Rosemary's 'impossible' Robodebt billFormer top FBI official arrested, accused of working for a sanctioned Russian oligarchTwo people die after high-speed police pursuit in Sydney's inner westKey Boris Johnson minister Zahawi in hot water over murky tax trailPopular Now1.Two people die after high-speed police pursuit in Sydney's inner west2.'It's not dad's car, mate': How the search for a missing father led to closure for another family3.Autism may be risk factor for sexual abuse, but Grace Tame considers being autistic empowering4.Californian man hailed a hero after disarming Monterey Park shooter5.livelive: Elon Musk takes stand in trial over his tweets, and the Earth's core might have reversed. Catch up with The Loop6.A contentious bill could be life-changing for Jasper. But it has left two nations at loggerheadsTop StoriesTens of thousands of serious incidents reported to aged care watchdog under new schemeCongressman suggests sending jointly operated US submarine to Australia as AUKUS announcement loomsAutism may be risk factor for sexual abuse, but Grace Tame considers being autistic empoweringA contentious bill could be life-changing for Jasper. But it has left two nations at loggerheadsThis drug giant was warned over 'significant' manufacturing violations. What does this mean for Australian imports?Californian man hailed a hero after disarming Monterey Park shooterliveElon Musk takes stand in trial over his tweets, and the Earth's core might have reversed. Catch up with The LoopEven under an injury cloud, Novak Djokovic shows he's a class above in de Minaur thrashingSenator urges alcohol industry to limit sales across the Northern Territory amid rising crimeJust InFlynn's community had a problem with an easy solution — so he decided to fix it himself8m ago8 minutes agoMon 23 Jan 2023 at 8:58pmLive: Tech rebound lifts Wall Street, ASX likely to open higher10m ago10 minutes agoMon 23 Jan 2023 at 8:55pmFormer top FBI official arrested, accused of working for a sanctioned Russian oligarch14m ago14 minutes agoMon 23 Jan 2023 at 8:51pmSenator urges alcohol industry to limit sales across the Northern Territory amid rising crime16m ago16 minutes agoMon 23 Jan 2023 at 8:49pmCalifornian man hailed a hero after disarming Monterey Park shooter38m ago38 minutes agoMon 23 Jan 2023 at 8:27pmCongressman suggests sending jointly operated US submarine to Australia as AUKUS announcement looms1h ago1 hours agoMon 23 Jan 2023 at 8:01pmMore Just InBack to topFooterABC News homepageMore From ABC NEWSWe acknowledge Aboriginal and Torres Strait Islander peoples as the First Australians and Traditional Custodians of the lands where we live, learn, and work.SectionsABC NEWSJust InWatch LiveCoronavirusPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckOtherNews in language中文Berita Bahasa IndonesiaTok PisinConnect with ABC NewsFacebookTwitterInstagramYouTubeApple NewsMore from ABC NewsContact ABC NEWSThis service may include material from Agence France-Presse (AFP), APTN, Reuters, AAP, CNN and the BBC World Service which is copyright and cannot be reproduced.AEST = Australian Eastern Standard Time which is 10 hours ahead of GMT (Greenwich Mean Time)Editorial PoliciesAccessibilityHelpContact UsAbout the ABCPrivacy PolicyTerms of Use© 2023 ABC
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What is ChatGPT and why are schools and universities so worried about it?
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What ChatGPT schools universities worried it? ABC News Skip main contentABC News HomeLoadingMore ABCMore ABCClose menuABCiviewListenABC HomeNewsLocal RadioiviewEverydayMoreEditorial PoliciesRead editorial guiding principlesAccessibilityHelp UsAbout ABCTerms Use 2023 ABCJust InWatch LiveCoronavirusPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckOtherNews HomeABC News HomeWhat ChatGPT schools universities worried it?ShareNews TickerLive blogCatch The Loop, quick wrap mornings newsFlood warningFor latestflood weather warnings, search onABC EmergencyLive blogKeep latest ASX business newsTennis live scoresKeep live scores results Australian Open Melbourne Park1 4 Get breaking news alerts directly phone appWhat ChatGPT schools universities worried it?By Janelle MilesPosted1h ago1 hours agoMon 23 Jan 2023 7:38pm Schools universities wary students ChatGPT cheat.Photo Jan Babork UnsplashHelp family friends informed sharing .aunewswhatischatgpthowcanitbedetectedbyschooluniversity101884388Copy linkShareType prompt question receive eloquently worded answer thats accurate.Generative AI ChatGPT offers endless opportunities seek answer question youve had, creation met concern.What ChatGPT?ChatGPT Chat Generative PreTrained Transformer chatbot launched OpenAI, artificial intelligence research deployment company, November 2022.It language model generate realistic, humanlike text. An example ChatGPT generate atext prompt.Supplied: OpenAIChatGPT language translation summarise large chunks text precis article.It generate text responses subject prompted, making useful chatbot customer service.Why schools universities worried it? Professor Leonie Rowan sees huge potential ChatGPT.Supplied: Leonie RowanThe big concern ChatGPT potentially university school students cheat written assignments detected.Its described akin students outsourcing homework robots.But educators spoken harnessing existence ChatGPT major opportunity assessments authentic, mirroring challenges students face real world.This require radical rethink school university assessment itmuch difficult plagiarise.Griffith Institute Educational Research director Leonie Rowan said ChatGPT hadthe potential improve learning outcomes fordisadvantaged children didnot access tutors.Theres lot positive dimensions, Professor Rowan said.Its got huge potential.This opportunity help, example, kids language backgrounds English, culturally linguistically diverse learners, refugee kids.How educators know students it?In response launch ChatGPT, online tool capable detecting artificialintelligencegenerated material emerged, dubbed AICheatCheck.It uses artificial intelligence models predict text written human machine, based word choice sentence structure.A QueenslandDepartment Education spokesperson said hadblocked ChatGPT students departments network couldbe fully assessed appropriateness.Misuse artificial intelligence student considered academic misconduct technology violation, spokesperson department said.As policies guidelines, important schools educate students ethical academic implications AI complete assignments.Should ChatGPT banned schools universities?Professor Rowan advocates embracing technology, banning it.I understand banning looks like simple quick solution, said.But lock people away world, ban kids world.I dont think banned. I dont think banned.Lets curious scared. Humans amazing. We learned use advantage, life better thanks sorts technological advantages.Im optimistic present future ChatGPT.AI tool pass medical school examsNow, termjust weeks away,educators scrambling rethink assess students.Read moreProfessor Rowan said evidence emergence ChatGPT lead tsunami cheating.And said people writing assignments students emergence ChatGPT.Thats industry, said.[ChatGPT]is opportunity think about,Wow, amazing new space going allow encourage new kinds ways?Maybe wakeup assessments need individualised.Besides education, ChatGPT good?Professor Rowan said chatbot hadimplications people trying navigate sorts foreign systems.For example, hashuge potential helppeople, culturally linguistically diverse backgrounds, write job applications.Posted1h ago1 hours agoMon 23 Jan 2023 7:38pmShareCopy linkFacebookTwitterRelated StoriesBigger pandemic: This new AI tool promises disrupt student assessmentMore on:Artificial IntelligenceAustraliaEducationQLDSchoolsUniversityTop StoriesTens thousands incidents reported aged care watchdog new schemeCongressman suggests sending jointly operated US submarine Australia AUKUS announcement loomsAutism risk factor sexual abuse, Grace Tame considers autistic empoweringA contentious lifechanging forJasper. But left nations loggerheadsThis drug giant warned significant manufacturing violations. What mean Australian imports?Californian man hailed hero disarming Monterey Park shooterliveElon Musk takes stand trial tweets, Earths core reversed. Catch The LoopEven injury cloud, Novak Djokovic shows hes class Minaur thrashingSenator urges alcohol industry limit sales Northern Territory amid rising crimeIt imperative ease mind: Families welcome funding stillbirth autopsiesPolice thousands secret recordings man accused killing campers VictoriaNot Centrelinks God help sort Rosemarys impossible Robodebt billFormer FBI official arrested, accused working sanctioned Russian oligarchTwo people die highspeed police pursuit Sydneys inner westKey Boris Johnson minister Zahawi hot water murky tax trailPopular Now1.Two people die highspeed police pursuit Sydneys inner west2.Its dads car, mate: How search missing father led closure family3.Autism risk factor sexual abuse, Grace Tame considers autistic empowering4.Californian man hailed hero disarming Monterey Park shooter5.livelive: Elon Musk takes stand trial tweets, Earths core reversed. Catch The Loop6.A contentious lifechanging forJasper. But left nations loggerheadsTop StoriesTens thousands incidents reported aged care watchdog new schemeCongressman suggests sending jointly operated US submarine Australia AUKUS announcement loomsAutism risk factor sexual abuse, Grace Tame considers autistic empoweringA contentious lifechanging forJasper. But left nations loggerheadsThis drug giant warned significant manufacturing violations. What mean Australian imports?Californian man hailed hero disarming Monterey Park shooterliveElon Musk takes stand trial tweets, Earths core reversed. Catch The LoopEven injury cloud, Novak Djokovic shows hes class Minaur thrashingSenator urges alcohol industry limit sales Northern Territory amid rising crimeJust InFlynns community problem easy solution decided fix himself8m ago8 minutes agoMon 23 Jan 2023 8:58pmLive: Tech rebound lifts Wall Street, ASX likely open higher10m ago10 minutes agoMon 23 Jan 2023 8:55pmFormer FBI official arrested, accused working sanctioned Russian oligarch14m ago14 minutes agoMon 23 Jan 2023 8:51pmSenator urges alcohol industry limit sales Northern Territory amid rising crime16m ago16 minutes agoMon 23 Jan 2023 8:49pmCalifornian man hailed hero disarming Monterey Park shooter38m ago38 minutes agoMon 23 Jan 2023 8:27pmCongressman suggests sending jointly operated US submarine Australia AUKUS announcement looms1h ago1 hours agoMon 23 Jan 2023 8:01pmMore Just InBack topFooterABC News homeMore From ABC NEWSWe acknowledge Aboriginal Torres Strait Islander peoples First Australians Traditional Custodians lands live, learn, work.SectionsABC NEWSJust InWatch LiveCoronavirusPoliticsWorldBusinessAnalysisSportScienceHealthArtsFact CheckOtherNews languageBerita Bahasa IndonesiaTok PisinConnect ABC NewsFacebookTwitterInstagramYouTubeApple NewsMore ABC News ABC NEWSThis service include material Agence FrancePresse AFP, APTN, Reuters, AAP, CNN BBC World Service copyright reproduced.AEST = Australian Eastern Standard Time 10 hours ahead GMT Greenwich Mean TimeEditorial PoliciesAccessibilityHelp UsAbout ABCTerms Use 2023 ABC
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https://www.actionnews5.com/prnewswire/2022/05/17/jina-ai-shapes-future-search-cb-insights-names-it-100-most-innovative-ai-startups-second-year-running/
| 2022-05-17T00:00:00 |
en
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Jina AI Shapes Future of Search as CB Insights Names it in 100 Most Innovative AI Startups for Second Year Running
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Jina AI Shapes Future of Search as CB Insights Names it in 100 Most Innovative AI Startups for Second Year Running
Skip to contentAdvertise with UsBluff City LifeContestsChick-fil-A Community ChampionsMid-South HeroesSt. Jude Dream Home GiveawayWatch LiveLatest VideoNewsWeatherElection ResultsGreat Health DivideTrafficShare Your PicsDigital DeskSearchHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack to SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastHurricaneThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging the Great Health DivideCommunityBlack History MonthMid-South HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskAbout UsMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress ReleasesJina AI Shapes Future of Search as CB Insights Names it in 100 Most Innovative AI Startups for Second Year RunningPublished: May. 17, 2022 at 11:00 AM CDT|Updated: 1 hour agoBERLIN, May 17, 2022 /PRNewswire/ -- Leading cloud-native and AI-based open-source neural search provider Jina AI has this week been recognized in CB Insights 2022 AI 100 as one of the most innovative AI startups. This marks the second consecutive year Jina AI has appeared on the list, distinguishing itself from a pool of over 7,000 companies, based on the criteria of R&D activity, proprietary Mosaic score, market potential, business relationships, investor profile, news sentiment analysis, competitive landscape, team strength, and tech novelty. Since its founding in 2020, the company has grown rapidly to a team of 50 people spread over Berlin, Europe, India, China and the USA. The product landscape of Jina AI has also expanded from a single project, Jina, to a comprehensive neural search ecosystem - a new tech stack for comprehending unstructured data with the power of artificial neural networks, with a global community of thousands of developers.Leading cloud-native and AI-based open-source neural search provider Jina AI has been recognized in CB Insights 2022 AI 100 as one of the most innovative AI startups for the second year in a row.(PRNewswire)Upon being named on the AI 100 list, Dr. Han Xiao, Founder and CEO of Jina AI said, "We believe in two things: Firstly, neural search will transform traditional search as the main way of comprehending data. Secondly, such technology will serve as infrastructure for high-level data intelligence and thus must be built openly and collaboratively. We are here to make that future a reality."Jina AI fully embraces the open-source community and offers seven popular open-source projects on GitHub with 28K stars in total.Jina AI's open-source ecosystem empowers cross-modal search capability for Wordlift, enabling text-to-image cross-modal search. Likewise, Yahaha realizes 3D mesh search with Jina AI where data can be retrieved by converting 3D models into vector representations through the open-source ecosystem.Myntor.io, New York based online education startup, expanded its product Bumblebee's conversational capability by using Jina, enabling a stochastic approach to delivering real-time feedback to help students learn faster. "With this approach, we've been able to deliver feedback 10 times faster than a live instructor and increase course completion rates three-fold, enabling Myntor to build highly interactive online courses that are faster and more comprehensive than live instruction," said the Founder & CEO Nathan Poon.Alexander Rosenthal, Software Developer at Myntor, commented, "Two things I like a lot about are how easy it is to deploy and host a neural-search solution with Transformer models and how much support I get from all of the team at Jina AI."Since its founding in 2020, a variety of new open-source products are being developed by Jina AI to enhance the neural search ecosystem and improve developers' experience:DocArray — The data structure for unstructured data.Jina — Cloud-native neural search framework for any kind of dataHub — A marketplace for sharing and discovering reusable building blocks for neural search applicationsFinetuner — Finetuning any deep neural network for better embeddings on neural search tasksNOW —A no-code solution for bootstrapping your image search case in minutesCLIP-as-service — Embed images and sentences into fixed-length vectors with CLIPJCloud — Simplify deploying and managing Jina projects on Jina CloudTo learn more about Jina AI, please visit its official website or GitHub repository.About CB InsightsCB Insights builds software that enables the world's best companies to discover, understand, and make technology decisions with confidence. By marrying data, expert insights, and work management tools, clients manage their end-to-end technology decision-making process on CB Insights. To learn more, please visit www.cbinsights.com.About Jina AIJina AI provides a cloud-native and AI-based open-source neural search ecosystem, enabling developers and enterprises to build search systems that are fast, scalable, and work with any kind of data. Since its founding in 2020, Jina AI has raised $38M from top investors, including GGV, Canaan Partners, Yunqi, and SAP.io. Jina AI is considered one of the fastest-growing AI startups globally.Media Contact:Lisa [email protected] its founding in 2020, a variety of new open-source products are being developed by Jina AI to enhance the neural search ecosystem and improve developers' experience(PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/jina-ai-shapes-future-of-search-as-cb-insights-names-it-in-100-most-innovative-ai-startups-for-second-year-running-301549127.htmlSOURCE Jina AIThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.Watch LiveNewsSpecial 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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Jina AI Shapes Future of Search as CB Insights Names it in 100 Most Innovative AI Startups for Second Year Running
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Jina AI Shapes Future CB Insights Names 100 Most Innovative AI Startups Second Year Running Skip contentAdvertise UsBluff City LifeContestsChickfilA Community ChampionsMidSouth HeroesSt. Jude Dream Home GiveawayWatch LiveLatest VideoNewsWeatherElection ResultsGreat Health DivideTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastHurricaneThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging Great Health DivideCommunityBlack History MonthMidSouth HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress ReleasesJina AI Shapes Future CB Insights Names 100 Most Innovative AI Startups Second Year RunningPublished: May. 17, 2022 11:00 AM CDTUpdated: 1 hour agoBERLIN, May 17, 2022 PRNewswire Leading cloudnative AIbased opensource neural search provider Jina AI week recognized CB Insights 2022 AI 100 innovative AI startups. This marks second consecutive year Jina AI appeared list, distinguishing pool 7,000 companies, based criteria RD activity, proprietary Mosaic score, market potential, business relationships, investor profile, news sentiment analysis, competitive landscape, team strength, tech novelty. Since founding 2020, company grown rapidly team 50 people spread Berlin, Europe, India, China USA. The product landscape Jina AI expanded single project, Jina, comprehensiveneural search ecosystem new tech stackfor comprehending unstructured data power artificial neural networks, global community thousandsof developers.Leading cloudnative AIbased opensource neural search provider Jina AI recognized CB Insights 2022 AI 100 innovative AI startups second year row.PRNewswireUpon named AI 100 list, Dr. Han Xiao, Founder CEO Jina AI said, We believe things: Firstly, neural search transform traditional search main way comprehending data. Secondly, technology serve infrastructure highlevel data intelligence built openly collaboratively. We future reality.Jina AI fully embraces opensource community offers seven popular opensource projects GitHub 28K stars total.Jina AIs opensource ecosystem empowers crossmodal search capability Wordlift, enabling texttoimage crossmodal search. Likewise, Yahaha realizes 3D mesh search Jina AIwhere data retrieved converting 3D models vector representations opensource ecosystem., New York based online education startup, expanded product Bumblebees conversational capability Jina, enabling stochastic approach delivering realtime feedback help students learn faster. With approach, weve able deliver feedback 10 times faster live instructor increase course completion rates threefold, enabling Myntor build highly interactive online courses faster comprehensive live instruction,said Founder CEO Nathan Poon.Alexander Rosenthal,Software Developer Myntor, commented, Two things I like lot easy deploy host neuralsearch solution Transformer models support I team Jina AI.Since founding 2020, variety new opensource products developed Jina AI enhance neural search ecosystem improvedevelopers experience:DocArray Thedata structure unstructured data.Jina Cloudnative neural search framework kind dataHub A marketplace sharing discovering reusable building blocks neural search applicationsFinetuner Finetuning deep neural network better embeddings neural search tasksNOWA nocode solution bootstrapping image search case minutesCLIPasservice Embed images sentences fixedlength vectors CLIPJCloud Simplify deploying managing Jina projects Jina CloudTo learn Jina AI, visit official website GitHub repository.About CB InsightsCB Insights builds software enables worlds best companies discover, understand, technology decisions confidence. By marrying data, expert insights, work management tools, clients manage endtoend technology decisionmaking process CB Insights. To learn more, visit Jina AIJina AI provides cloudnative AIbased opensource neural search ecosystem, enabling developers enterprises build search systems fast, scalable, work kind data. Since founding 2020, Jina AI raised 38M investors, including GGV, Canaan Partners, Yunqi, . Jina AI considered fastestgrowing AI startups globally.Media :Lisa Lilisa.li founding 2020, variety new opensource products developed Jina AI enhance neural search ecosystem improve developers experiencePRNewswireView original content download multimedia: Jina AIThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .Watch LiveNewsSpecial ReportsWeatherSportsCommunityScheduleAction News 51960 Union AvenueMemphis, TN 38104901 7260555Public Inspection FilePUBLICFILE 901 7260501EEO ReportClosed CaptioningAdvertisingA Gray Media Group, . Station 20022022 Gray Television, .
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https://www.actionnews5.com/prnewswire/2022/08/18/torchai-amp-vertosoft-join-forces-optimize-data-infrastructure-with-ai-100-new-customers-across-us-government/
| 2022-08-18T00:00:00 |
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Torch.AI & Vertosoft Join Forces to Optimize Data Infrastructure with AI for 100+ New Customers Across the U.S. Government
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Torch.AI & Vertosoft Join Forces to Optimize Data Infrastructure with AI for 100+ New Customers Across the U.S. Government
Skip to contentAdvertise with UsBluff City LifeContestsChick-fil-A Community ChampionsMid-South HeroesYMCA Backpack DriveWatch LiveLatest VideoNewsWeatherSportsGreat Health DivideTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack to SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastHurricaneThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging the Great Health DivideCommunityBlack History MonthMid-South HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskAbout UsMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress ReleasesTorch.AI & Vertosoft Join Forces to Optimize Data Infrastructure with AI for 100+ New Customers Across the U.S. GovernmentPublished: Aug. 18, 2022 at 5:03 AM CDT|Updated: 57 minutes agoLEAWOOD, Kan., Aug. 18, 2022 /PRNewswire/ -- Torch.AI, pioneers of data infrastructure AI, announced today a partnership with Vertosoft to accelerate the adoption of next-generation artificial intelligence (AI) and data infrastructure software capabilities across the U.S. Government.Torch.AI(PRNewswire)Torch.AI, already supporting some of the world's most important organizations, has re-imagined how organizations use and extract value from data. The company's software is quickly becoming the AI ecosystem and data infrastructure standard, introducing a new way for teams to increase productivity, prioritize resources, and bridge data silos by accessing and correlating mission-critical information.Torch.AI's role in the partnership will be to propel the adoption and delivery of new data infrastructures powered by AI to government agencies seeking an innovative response to complex data challenges. Torch's solutions will complement Vertosoft's strong portfolio of enabling technology partners in DOD agencies, such as the U.S. Army and U.S. Air Force, and further extend reach to Vertosoft's vast 100+ organization network across the greater DOD and Civilian space.As a leading emerging technology distributor, Vertosoft is focused on bringing innovative and emerging technologies to the public sector. With dozens of contract vehicles and government-wide acquisition contracts, Vertosoft simplifies government procurement. The partnership with Torch.AI will enable Vertosoft to bring critically important data and AI capabilities to every level of government."We're excited to build on our momentum in the government space and continue powering mission-critical decisions and operational capabilities with our data infrastructure AI solutions," says Bobby Butler, Director of Partner Success at Torch.AI. "We see Vertosoft as a key component of our public sector strategy and plan to leverage their experience in bringing technology to the government market.""We continue to hear from public sector customers across the U.S. Federal, State, and Local markets that they're consistently looking to integrate more diverse datasets into their decision-making process and have systematically struggled in doing so," says Josh Slattery, Vice President of Technology Sales at Vertosoft. "Vertosoft is thrilled to partner with Torch.AI to help bridge the gaps and turn AI into a reality for our public sector customers."About Torch.AITorch.AI, the Data Infrastructure AI Pioneers, are headquartered in Kansas City with offices in Washington, DC. The company developed the use of AI to process data in-flight, radically evolving analytic and operational capabilities in any IT environment. Torch.AI's products and people are currently actively supporting operations in industries including financial services, construction and engineering, healthcare, and the US Department of Defense, US Department of Homeland Security, and other agencies.To learn more about the company, visit Torch.AI.About Vertosoft Established in 2016, Vertosoft accelerates the adoption of innovative and emerging technology within the government. We bring the flexibility, agility, and responsiveness of a small company with the experience of a large organization. With our clear focus on emerging technology growth in government, Vertosoft is uniquely positioned to reduce complexity and provide scalable, cloud-ready technology solutions that enable government agencies to deliver smarter, client-centric digital transformations.Media Contact: [email protected](PRNewswire)View original content to download multimedia:https://www.prnewswire.com/news-releases/torchai--vertosoft-join-forces-to-optimize-data-infrastructure-with-ai-for-100-new-customers-across-the-us-government-301608113.htmlSOURCE Torch.AIThe above press release was provided courtesy of PRNewswire. The views, opinions and statements in the press release are not endorsed by Gray Media Group nor do they necessarily state or reflect those of Gray Media Group, Inc.Watch LiveNewsSpecial ReportsWeatherSportsCommunityAbout UsScheduleAction News 51960 Union AvenueMemphis, TN 38104(901) 726-0555Public Inspection [email protected] - (901) 726-0501EEO ReportClosed Captioning/Audio DescriptionPrivacy PolicyTerms of ServiceAdvertisingA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
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Torch.AI & Vertosoft Join Forces to Optimize Data Infrastructure with AI for 100+ New Customers Across the U.S. Government
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Torch.AI amp; Vertosoft Join Forces Optimize Data Infrastructure AI 100 New Customers Across U.S. Government Skip contentAdvertise UsBluff City LifeContestsChickfilA Community ChampionsMidSouth HeroesYMCA Backpack DriveWatch LiveLatest VideoNewsWeatherSportsGreat Health DivideTrafficShare Your PicsDigital DeskHomeWatch LiveShare Your PicsRecent VideoDownload Our AppsNewsStateNationalEducationDigital DeskBack SchoolGood NewsPolitical NewsConsumerCrimeWeatherSchool Day ForecastHurricaneThe BreakdownWeather HeadlinesClosingsSpecial ReportsInvestigations5 Star StoriesHealthCoronavirusVaccineBest LifeBridging Great Health DivideCommunityBlack History MonthMidSouth HeroesSportsGrizzliesCollege FootballCollege BasketballFriday Football FeverOlympicsTrafficGas PricesProgrammingScheduleBluff City LifeDigital DeskMeet The TeamAdvertise With UsCareersEditorial BoardContestsLatest NewscastsPowerNationInvestigate TVGray DC BureauPress ReleasesTorch.AI Vertosoft Join Forces Optimize Data Infrastructure AI 100 New Customers Across U.S. GovernmentPublished: Aug. 18, 2022 5:03 AM CDTUpdated: 57 minutes agoLEAWOOD, Kan., Aug. 18, 2022 PRNewswire Torch.AI, pioneers data infrastructure AI, announced today partnership Vertosoft accelerate adoption nextgeneration artificial intelligence AI data infrastructure software capabilities U.S. Government.Torch.AIPRNewswireTorch.AI, supporting worlds important organizations, reimagined organizations use extract value data. The companys software quickly AI ecosystem data infrastructure standard, introducing new way teams increase productivity, prioritize resources, bridge data silos accessing correlating missioncritical information.Torch.AIs role partnership propel adoption delivery new data infrastructures powered AI government agencies seeking innovative response complex data challenges. Torchs solutions complement Vertosofts strong portfolio enabling technology partners DOD agencies, U.S. Army U.S. Air Force, extend reach Vertosofts vast 100 organization network greater DOD Civilian space.As leading emerging technology distributor, Vertosoft focused bringing innovative emerging technologies public sector. With dozens contract vehicles governmentwide acquisition contracts, Vertosoft simplifies government procurement. The partnership Torch.AI enable Vertosoft bring critically important data AI capabilities level government.Were excited build momentum government space continue powering missioncritical decisions operational capabilities data infrastructure AI solutions, says Bobby Butler, Director Partner Success Torch.AI. We Vertosoft key component public sector strategy plan leverage experience bringing technology government market.We continue hear public sector customers U.S. Federal, State, Local markets theyre consistently looking integrate diverse datasets decisionmaking process systematically struggled so, says Josh Slattery, Vice President Technology Sales Vertosoft. Vertosoft thrilled partner Torch.AI help bridge gaps turn AI reality public sector customers.About Torch.AITorch.AI, Data Infrastructure AI Pioneers, headquartered Kansas City offices Washington, DC. The company developed use AI process data inflight, radically evolving analytic operational capabilities IT environment. Torch.AIs products people currently actively supporting operations industries including financial services, construction engineering, healthcare, US Department Defense, US Department Homeland Security, agencies.To learn company, visit Torch.AI.About VertosoftEstablished 2016, Vertosoft accelerates adoption innovative emerging technology government. We bring flexibility, agility, responsiveness small company experience large organization. With clear focus emerging technology growth government, Vertosoft uniquely positioned reduce complexity provide scalable, cloudready technology solutions enable government agencies deliver smarter, clientcentric digital transformations.Media :hello original content download multimedia: Torch.AIThe press release provided courtesy PRNewswire. The views, opinions statements press release endorsed Gray Media Group necessarily state reflect Gray Media Group, .Watch LiveNewsSpecial ReportsWeatherSportsCommunityScheduleAction News 51960 Union AvenueMemphis, TN 38104901 7260555Public Inspection FilePUBLICFILE 901 7260501EEO ReportClosed CaptioningAudio DescriptionAdvertisingA Gray Media Group, . Station 20022022 Gray Television, .
| 2,022 |
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https://www.advocate-news.com/2023/06/08/wanted-an-ai-job-that-mostly-doesnt-exist-yet/
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Wanted: An AI job that (mostly) doesn’t exist yet
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Microsoft Bing search engine in pictured on a monitor in the Bing Experience Lounge during an event introducing a new AI-powered Microsoft Bing and Edge at Microsoft in Redmond, Washington on February 7, 2023. Artificial intelligence is bound to create new jobs, but availability has yet to catch up with interest. (Photo by JASON REDMOND/AFP via Getty Images)
By Nerdwallet | NerdWalletPUBLISHED: June 8, 2023 at 9:37 a.m. | UPDATED: June 8, 2023 at 9:47 a.m.At one time, no one had ever heard of a telegraph operator. An electrician. Auto mechanic. TV producer. X-ray technician. Software developer. Webmaster. Cybersecurity specialist.
Advancements in technology have always spawned new kinds of jobs while rendering other ones obsolete. Artificial intelligence will be no exception. Right now, we don’t fully know what those jobs will be. But that hasn’t stopped job seekers from trying to find out.
Prognosticators say artificial intelligence will likely have a similar impact on the labor market — and workers want to get in on the ground floor. But it’s clear that even employers don’t know what those jobs are. Not yet, at least.
To be clear, automation and, to a certain extent, AI have been part of the labor market for quite some time. Who among us hasn’t had an infuriating exchange with a chatbot? But interest in employment related to AI has skyrocketed in the past two years. Searches for AI-related jobs on the employment listings website Indeed have increased 8,200% since March 2021, according to the company. But AI-related job postings by employers have only increased 29.8%.
“I think it captures that kind of moment that we’re in right now where there are a lot of new possibilities opening up and there’s a lot of uncertainty about where it’s going,” says Trey Causey, head of AI ethics at Indeed. But, he adds, “The interest is undeniable.”
Workers want to ride the next job wave
Indeed isn’t the only site seeing more searches geared toward AI. Daniel Zhao, lead economist at the job search website Glassdoor, has also seen an uptick, which he says is driven largely by the novelty aspect of AI and the possibilities it holds for workers.
“AI is poised to have a significant impact on the job market, and it doesn’t require being a Ph.D. in computer science in order to actually work at a company that is taking advantage of AI,” says Zhao. “So there are definitely opportunities out there for people who are interested in this space and who feel passionately about the technology.”
It’s no wonder workers are beginning to test the waters of AI, since recent studies have shown that most jobs will likely be impacted by the technology. And that’s pretty much what most workers are counting on. A March 26 report by the investment banking company Goldman Sachs found about two-thirds of all jobs are likely to be impacted by AI in some way. And in an April 20 Pew Research Center report, more than half of Americans surveyed said they would classify the impact of AI on both the workplace and the economy over a 20-year period as “major.”
A “major” impact on work was also asserted in a March 22 report by the IT consulting company Accenture. It said generative AI — as in, language-learning models like ChatGPT — is set to “fundamentally transform everything from science to business to health care, for instance, to society itself.” It also argues that AI has the potential to reinvent every role in every company as “humans working with AI co-pilots becomes the norm.”
It’s probable that certain jobs will be replaced entirely by AI, but it will largely depend on what functions can be replaced. Goldman Sachs finds that jobs in which 50% of the work could be automated are more likely to be supplanted by AI. For example, jobs that require physical labor or care are unlikely to be replaced, while jobs that require coding or number-crunching are less likely to need human operators.
But don’t fear the robot takeover just yet. The Goldman Sachs report from March also asserted that any displacement caused by AI would likely be offset by the creation of new occupations, which usually happens in the labor market during periods of technological change.
Employers are looking to adopt and adapt AI
Employers want to incorporate AI into their workplaces even if they’re not quite sure how. The World Economic Forum’s “The Future of Jobs Report 2023” released on April 30 found 75% of companies surveyed expect to adopt AI. And a roundup of first-quarter earnings calls for S&P 500 companies by the financial news company Bloomberg found 1,072 mentions of artificial intelligence.
It does seem like employers are figuring it out already. Among job postings, there are now positions specifically with AI in the title or, at least, include AI within the job description. As of this writing, there were about 25,000 jobs on Indeed.com with a search for “artificial intelligence.” There were more than 14,000 on Glassdoor.
Most workers are searching broadly for specific AI engineering skills and AI model-specific skills, says Causey. But what employers are including in job posts can be broken down into three main categories, Causey says:
Implementing AI models into the workplace. “Despite the fact that these models are very capable and automate a lot of things, you still have to figure out how to get these models into your products and your business.”
Development of AI models. “Large tech companies like Medline, Google and Microsoft are not only looking to implement these models, but they’re looking to do additional research and develop new models and improve these models.”
Using AI models for marketing and content creation. There’s “really specific interest around marketing. I’m seeing companies that are interested in augmenting their copywriting and marketing efforts using these models.”
More From NerdWallet
Two More Reports Repeat: AI Will Probably Affect Your Job
Age of AI: ChatGPT, Bard and How Money Advice Might Evolve
Current Unemployment Rate and Other Jobs Report Findings
Anna Helhoski writes for NerdWallet. Email: [email protected]. Twitter: @AnnaHelhoski.
The article Wanted: An AI Job That (Mostly) Doesn’t Exist Yet originally appeared on NerdWallet.
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Wanted: An AI job doesnt exist Fort Bragg AdvocateNews Skip content All Sections Now 54F Friday, June 9th 2023 eEdition Home Page Close MenuNews News Local News Crime Public Safety Courts Marijuana Business Health Sports Sports Sports Submissions High School Sports Fishing North Coast Lifestyle Lifestyle Entertainment Home Garden Food Drink Special Sections Local Events Obits Obituaries Place Obit Opinion Advertising Advertise Us Sponsored Content Public Notices Close Menu Sign email newsletters Sign Up Business Wanted: An AI job doesnt exist Share this:Click share Facebook Opens new windowClick share Twitter Opens new windowClick print Opens new window Account Settings Us Log Out Spoof user Sign email newsletters Sign Up 54F Friday, June 9th 2023 eEdition Business Local Crime Courts Marijuana Business Health Business Business Wanted: An AI job doesnt exist Share this:Click share Facebook Opens new windowClick share Twitter Opens new windowClick print Opens new window Microsoft Bing search engine pictured monitor Bing Experience Lounge event introducing new AIpowered Microsoft Bing Edge Microsoft Redmond, Washington February 7, 2023. Artificial intelligence bound create new jobs, availability catch interest. Photo JASON REDMONDAFP Getty Images By Nerdwallet NerdWalletPUBLISHED: June 8, 2023 9:37 a.m. UPDATED: June 8, 2023 9:47 a.m.At time, heard telegraph operator. An electrician. Auto mechanic. TV producer. Xray technician. Software developer. Webmaster. Cybersecurity specialist. Advancements technology spawned new kinds jobs rendering ones obsolete. Artificial intelligence exception. Right now, dont fully know jobs be. But stopped job seekers trying out. Prognosticators artificial intelligence likely similar impact labor market workers want ground floor. But clear employers dont know jobs are. Not yet, least. To clear, automation and, certain extent, AI labor market time. Who infuriating exchange chatbot? But employment related AI skyrocketed past years. es AIrelated jobs employment listings website Indeed increased 8,200 March 2021, according company. But AIrelated job postings employers increased 29.8. I think captures kind moment right lot new possibilities opening theres lot uncertainty going, says Trey Causey, head AI ethics Indeed. But, adds, The undeniable. Workers want ride job wave Indeed isnt site seeing searches geared AI. Daniel Zhao, lead economist job search website Glassdoor, seen uptick, says driven largely novelty aspect AI possibilities holds workers. AI poised significant impact job market, doesnt require Ph.D. science order actually work company taking advantage AI, says Zhao. So definitely opportunities people interested space feel passionately technology. Its wonder workers beginning test waters AI, recent studies shown jobs likely impacted technology. And thats pretty workers counting on. A March 26 report investment banking company Goldman Sachs twothirds jobs likely impacted AI way. And April 20 Pew Research Center report, half Americans surveyed said classify impact AI workplace economy 20year period major. A major impact work asserted March 22 report IT consulting company Accenture. It said generative AI in, languagelearning models like ChatGPT set fundamentally transform science business health care, instance, society itself. It argues AI potential reinvent role company humans working AI copilots norm. Its probable certain jobs replaced entirely AI, largely depend functions replaced. Goldman Sachs finds jobs 50 work automated likely supplanted AI. For example, jobs require physical labor care unlikely replaced, jobs require coding numbercrunching likely need human operators. But dont fear robot takeover yet. The Goldman Sachs report March asserted displacement caused AI likely offset creation new occupations, usually happens labor market periods technological change. Employers looking adopt adapt AI Employers want incorporate AI workplaces theyre sure how. The World Economic Forums The Future Jobs Report 2023 released April 30 75 companies surveyed expect adopt AI. And roundup firstquarter earnings calls SP 500 companies financial news company Bloomberg 1,072 mentions artificial intelligence. It like employers figuring already. Among job postings, positions specifically AI title or, least, include AI job description. As writing, 25,000 jobs search artificial intelligence. There 14,000 Glassdoor. Most workers searching broadly specific AI engineering skills AI modelspecific skills, says Causey. But employers including job posts broken main categories, Causey says: Implementing AI models workplace. Despite fact models capable automate lot things, figure models products business. Development AI models. Large tech companies like Medline, Google Microsoft looking implement models, theyre looking additional research develop new models improve models. Using AI models marketing content creation. Theres specific marketing. Im seeing companies interested augmenting copywriting marketing efforts models. More From NerdWallet Two More Reports Repeat: AI Will Probably Affect Your Job Age AI: ChatGPT, Bard How Money Advice Might Evolve Current Unemployment Rate Other Jobs Report Findings Anna Helhoski writes NerdWallet. Email: anna Twitter: The article Wanted: An AI Job That Mostly Doesnt Exist Yet originally appeared NerdWallet. 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You are hereHomeLifestyleMindBank Ai Creates a SOUL for the Personal Digital Twin Using Ai Generated Music
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MindBank Ai Creates a SOUL for the Personal Digital Twin Using Ai Generated Music
August 30, 2022 Village ReporterAfrica Music, Nigerian Music
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https://www.agriland.ie/farming-news/artificial-intelligence-can-transform-farming-mep/
| 2022-05-04T00:00:00 |
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Artificial intelligence can transform farming - MEP - Agriland.ie
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Artificial intelligence can transform farming - MEP - Agriland.ie
Artificial intelligence can transform farming - MEP - Agriland.ie
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Artificial intelligence can transform farming – MEP
Aisling O'Brien
May 4, 2022 8:29 am
Artificial intelligence (AI) has the potential to transform the farming industry, according to an Irish MEP.
The European Parliament yesterday (Tuesday, May 3) adopted the final recommendations of its Special Committee on Artificial Intelligence in a Digital Age (AIDA).
The text, adopted by 495 votes to 34, with 102 abstentions, outlines that the public debate on the use of AI should focus on the technology’s potential to complement human labour.
The committee notes that the EU is falling behind other parts of the world in developing cutting-edge technology, but can still catch up.
It also warned that there is a risk standards will be developed elsewhere by “non-democratic actors”. MEPs said that the EU needs to act as a “global standard-setter” in AI.
MEPs also said that the level of regulatory intervention by the EU should be proportionate to the risk associated with the particular use of an AI system.
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They stressed that AI technologies could pose important ethical and legal questions, and voiced concerns about military research and technological developments into lethal autonomous weapon systems.
Ireland South MEP Deirdre Clune said that AI can transform farming, climate and health.
The Fine Gael representative is a big supporter of the technology which she believes has incredible potential to change our lives.
Clune told EuroParlRadio that AI can help farmers with a range of decisions including how much fertiliser to use and what type of crops should be grown in a particular location.
“In turn then those kind of solutions can deliver on our climate change ambitions,” the Irish MEP said.
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Artificial intelligence can transform farming
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Artificial intelligence transform farming MEP Agriland.ie Artificial intelligence transform farming MEP Agriland.ie Latest News Beef Dairy Sheep Tillage Machinery N. Ireland for: Latest News AgriBusiness Agri Politics Environment Forestry N.Ireland Opinion Rural Life Farm Focus Buildings Beef Focus Dairy Focus Machinery Focus Sheep Focus Tillage Focus Livestock News Beef News Sheep News Tillage News Factory Prices PigPoultry Technical CAP Schemes Beef Technical Dairy Technical Factory Prices Featured Information The Team Advertising Videos Farmland Jobs Merchandise Trending: Silage Farmland Turf for: News Latest News Dairy Beef Tillage Sheep Machinery Northern Ireland AgriBusiness Opinion Featured Videos Farm Focus Buildings Beef Focus Dairy Focus Grass Information About Agriland.ie Advertising Meet Our Team Factory Prices Agriland App Download Our App Latest News Beef Dairy Sheep Tillage Machinery N. Ireland for: Latest News AgriBusiness Agri Politics Environment Forestry N.Ireland Opinion Rural Life Farm Focus Buildings Beef Focus Dairy Focus Machinery Focus Sheep Focus Tillage Focus Livestock News Beef News Sheep News Tillage News Factory Prices PigPoultry Technical CAP Schemes Beef Technical Dairy Technical Factory Prices Featured Information The Team Advertising Videos Farmland Jobs Merchandise Artificial intelligence transform farming MEP Aisling OBrien May 4, 2022 8:29 Artificial intelligence AI potential transform farming industry, according Irish MEP. The European Parliament yesterday Tuesday, May 3 adopted final recommendations Special Committee Artificial Intelligence Digital Age AIDA. The text, adopted 495 votes 34, 102 abstentions, outlines public debate use AI focus technologys potential complement human labour. The committee notes EU falling parts world developing cuttingedge technology, catch up. It warned risk standards developed nondemocratic actors. MEPs said EU needs act global standardsetter AI. MEPs said level regulatory intervention EU proportionate risk associated particular use AI system. Advertisement They stressed AI technologies pose important ethical legal questions, voiced concerns military research technological developments lethal autonomous weapon systems. Ireland South MEP Deirdre Clune said AI transform farming, climate health. The Fine Gael representative big supporter technology believes incredible potential change lives. Clune told EuroParlRadio AI help farmers range decisions including fertiliser use type crops grown particular location. In turn kind solutions deliver climate change ambitions, Irish MEP said. Also Read: Conflicting directives cause confusion machinery cyberworld ARTIFICIAL INTELLIGENCE DEIRDRE CLUNE EU PARLIAMENT LOADING NEXT STORY Must Read 1 Tragedy Monaghan girl 14 dies rural accident 2 Over 70 tractors latest Wilsons Bord na Mna auction 3 40yearold tractor sells quarter million euro 4 Jack Lynch Tunnel closed tractor tows 3 lorrieson 5 Another blow calf trade second ferry enters dry dock 6 Surge cull cows coming dairy herds New Jobs Assistant Farm ManagerMart ManagerFull Time worker wanted Robotic Dairy Farm2 Agricultural Advisors, Mayo OffalyFull Time Sales Advisor See More Jobs Latest News Dairy News GDT price index takes 8.5 nosedive latest auction 7:58am AgriBusiness Glanbia wellpositioned deliver strategic growth 7:20am Dairy Technical Macra host farm walk awardwinning dairy farm 6:20am Beef alf blue heifer sells 11,900 Jalex onfarm sale 6:00am AgriBusiness Interview: Silage support scheme limited beef sheep farmers 21:26pm Latest News Agri Politics AgriBusiness Environment Forestry Rural Life N.Ireland Beef Dairy Sheep Tillage PigPoultry Green Acres Grass Machinery Buildings CAP Schemes Featured Property Opinion Factory Prices Agriland About Agriland.ie Advertising Videos Jobs Meet Our Team Agriland App JOIN OUR NEWSLETTER Submit Latest News Agri Politics AgriBusiness Environment Forestry Rural Life N.Ireland Beef Dairy Sheep Tillage PigPoultry Green Acres Grass Machinery Buildings CAP Schemes Featured Property Opinion Factory Prices Agriland About Agriland.ie Advertising Videos Jobs Meet Our Team Agriland App FOLLOW US Terms Conditions Settings 2022 Agriland Media Ltd.
| 2,022 |
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https://www.alaskasnewssource.com/prnewswire/2022/11/17/see-mode-technologies-receives-health-canada-approval-ai-software-that-automatically-analyses-reports-breast-amp-thyroid-ultrasound-scans/
| 2022-11-17T00:00:00 |
en
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See-Mode Technologies Receives Health Canada Approval for AI Software that Automatically Analyses and Reports Breast & Thyroid Ultrasound Scans
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See-Mode Technologies Receives Health Canada Approval for AI Software that Automatically Analyses and Reports Breast & Thyroid Ultrasound Scans
Skip to contentLiveNewsElection ResultsWeatherContestsPodcastsSubmit News TipSubmit Photos and VideosNewsletterNewsLocalNationalCoronavirusCrimeEconomyPoliticsEducationInvestigativeCommunityMorning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaSports907 SportsAlaska's OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonFeaturesNourish AlaskaTelling Alaska's StoryIn Depth AlaskaIt's All GoodInside the GatesOutside the GatesWatching Your WalletThe Fault in the FactsThe Video VaultThe Early CrewWeekend PlannerFoodRoadtrippin'PetsLivestream 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 BureauPowerNationInvestigate TVPress ReleasesSee-Mode Technologies Receives Health Canada Approval for AI Software that Automatically Analyses and Reports Breast & Thyroid Ultrasound ScansPublished: Nov. 17, 2022 at 5:00 AM AKST|Updated: 25 minutes agoMELBOURNE, Australia, Nov. 17, 2022 /PRNewswire/ -- See-Mode Technologies, a MedTech company based in Australia that is on a mission to unlock the hidden insights within medical imaging, today announced that it has received approval from Health Canada for its product expansion to support Breast & Thyroid ultrasound examinations.See-Mode(PRNewswire)See-Mode uses Artificial Intelligence to detect lesions in ultrasound images, then assigns feature classifications to each lesion, in line with the American College of Radiology's BI-RADS and TI-RADS rating systems. Sonographer worksheets, complete with lesion classifications and diagrams are instantly generated and sent to PACS, while preliminary impressions are sent to radiology reporting systems. In follow-up scans, See-Mode allows for fast comparison between old and new images, and will automatically highlight changes in lesion characteristics."Receiving approval from Health Canada is a significant step forward for us at See-Mode, which demonstrates the applicability of our software beyond the vascular studies we currently support", said Dr Milad Mohammadzadeh, Co-Founder and Director, See-Mode Technologies. "Working closely with clinicians we learned that the reporting of Breast & Thyroid examinations was notoriously time consuming, subjective, and error prone, especially when there are multiple lesions present. We are excited to enable clinicians across Canada to complete their reports more efficiently and provide a second set of eyes on the study making sure nothing is missed.""See-Mode represents a tremendous step forward by combining the power of Artificial Intelligence with the expertise of a clinical sonographer and radiologist. See-Mode eliminates tedious manual steps in the interpretation and reporting of ultrasound images, improves efficiency and provides unparalleled consistency of reporting between different members of the radiology team. This is a system that truly understands the content of ultrasound images." Martin Necas, Specialist Sonographer, Waikato Hospital, Clinical Consultant for See-Mode.Studies conducted by See-Mode determined there were large inconsistencies in describing the characteristics of nodules and lesions by sonographers. For Thyroid studies, See-Mode has the potential to reduce unnecessary biopsies and improve the accuracy of the biopsies that are performed. With Breast ultrasound examinations, See-Mode assists clinicians to detect malignancy that may otherwise go undiscovered or misclassified.About See-Mode TechnologiesSee-Mode applies cutting-edge deep learning and computational modeling techniques on medical images to empower clinicians to improve their clinical workflow and patient outcomes. See-Mode's first product, AVA, automatically analyses and reports on vascular ultrasound studies. AVA is currently clinically live across the US, Australia, Singapore, and New Zealand. See-Mode has offices in Singapore and Australia and is backed by prominent venture capital firms in APAC, including MassMutual Ventures, Blackbird Ventures, Cocoon Capital, and SGInnovate.View original content to download multimedia:https://www.prnewswire.com/news-releases/see-mode-technologies-receives-health-canada-approval-for-ai-software-that-automatically-analyses-and-reports-breast--thyroid-ultrasound-scans-301679574.htmlSOURCE See-Mode TechnologiesThe 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 StatementAdvertisingClosed Captioning/Audio DescriptionA Gray Media Group, Inc. Station - © 2002-2022 Gray Television, Inc.
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See-Mode Technologies Receives Health Canada Approval for AI Software that Automatically Analyses and Reports Breast & Thyroid Ultrasound Scans
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SeeMode Technologies Receives Health Canada Approval AI Software Automatically Analyses Reports Breast amp; Thyroid Ultrasound Scans Skip contentLiveNewsElection ResultsWeatherContestsPodcastsSubmit News TipSubmit Photos VideosNewsletterNewsLocalNationalCoronavirusCrimeEconomyPoliticsEducationInvestigativeCommunityMorning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaSports907 SportsAlaskas OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonFeaturesNourish AlaskaTelling Alaskas StoryIn Depth AlaskaIts All GoodInside GatesOutside GatesWatching Your WalletThe Fault FactsThe Video VaultThe Early CrewWeekend PlannerFoodRoadtrippinPetsLivestream 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 BureauPowerNationInvestigate TVPress ReleasesSeeMode Technologies Receives Health Canada Approval AI Software Automatically Analyses Reports Breast Thyroid Ultrasound ScansPublished: Nov. 17, 2022 5:00 AM AKSTUpdated: 25 minutes agoMELBOURNE, Australia, Nov. 17, 2022 PRNewswire SeeMode Technologies, MedTech company based Australia mission unlock hidden insights medical imaging, today announced received approval Health Canada product expansion support Breast Thyroid ultrasound examinations.SeeModePRNewswireSeeMode uses Artificial Intelligence detect lesions ultrasound images, assigns feature classifications lesion, line American College Radiologys BIRADS TIRADS rating systems. Sonographer worksheets, complete lesion classifications diagrams instantly generated sent PACS, preliminary impressions sent radiology reporting systems. In followup scans, SeeMode allows fast comparison old new images, automatically highlight changes lesion characteristics.Receiving approval Health Canada significant step forward SeeMode, demonstrates applicability software vascular studies currently support, said Dr Milad Mohammadzadeh, CoFounder Director, SeeMode Technologies. Working closely clinicians learned reporting Breast Thyroid examinations notoriously time consuming, subjective, error prone, especially multiple lesions present. We excited enable clinicians Canada complete reports efficiently provide second set eyes study making sure missed.SeeMode represents tremendous step forward combining power Artificial Intelligence expertise clinical sonographer radiologist. SeeMode eliminates tedious manual steps interpretation reporting ultrasound images, improves efficiency provides unparalleled consistency reporting different members radiology team. This truly understands content ultrasound images. Martin Necas, Specialist Sonographer, Waikato Hospital, Clinical Consultant SeeMode.Studies conducted SeeMode determined large inconsistencies describing characteristics nodules lesions sonographers. For Thyroid studies, SeeMode potential toreduce unnecessary biopsies improve accuracy biopsies performed. With Breast ultrasound examinations, SeeMode assists clinicians detect malignancy undiscovered misclassified.About SeeMode TechnologiesSeeMode applies cuttingedge deep learning computational modeling techniques medical images empower clinicians improve clinical workflow patient outcomes. SeeModes product, AVA, automatically analyses reports vascular ultrasound studies. AVAis currently clinically live US, Australia, Singapore, New Zealand. SeeMode offices Singapore Australia backed prominent venture capital firms APAC, including MassMutual Ventures, Blackbird Ventures, Cocoon Capital, SGInnovate.View original content download multimedia: SeeMode TechnologiesThe 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 StatementAdvertisingClosed CaptioningAudio DescriptionA Gray Media Group, . Station 20022022 Gray Television, .
| 2,022 |
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https://www.alaskasnewssource.com/prnewswire/2023/04/27/metaphysic-assembles-team-preeminent-artificial-intelligence-copyright-experts-lead-inaugural-scientific-advisory-board/
| 2023-04-27T00:00:00 |
en
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Metaphysic Assembles Team of Preeminent Artificial Intelligence and Copyright Experts to Lead Inaugural Scientific Advisory Board
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Metaphysic Assembles Team of Preeminent Artificial Intelligence and Copyright Experts to Lead Inaugural Scientific Advisory Board
Skip to contentLiveNewsFeed AKConstruction MapPolitical BlogWeatherPodcastsContestsSubmit News TipSubmit Photos and VideosNewsletterNewsLocalNationalCoronavirusCrimeEconomyPoliticsAnchorage VotesEducationInvestigativeCommunityMorning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaTrafficGas PricesSports907 SportsAlaska's OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonFeaturesFeed AKMillion Mile ChallengeNourish AlaskaTelling Alaska's StoryIn Depth AlaskaIt's All GoodInside the GatesOutside the GatesWatching Your WalletThe Video VaultFoodRoadtrippin'Livestream 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 BureauPowerNationInvestigate TVPress ReleasesMetaphysic Assembles Team of Preeminent Artificial Intelligence and Copyright Experts to Lead Inaugural Scientific Advisory BoardPublished: Apr. 27, 2023 at 5:00 AM AKDT|Updated: 26 minutes agoInitial Group of Academic Researchers, Scientists, and Professors will Establish Guiding Principles for Metaphysic's Basic and Applied ResearchLONDON, April 27, 2023 /PRNewswire/ -- Metaphysic announces today the appointment of a scientific advisory board to support the company's efforts to drive technological excellence in AI, emphasizing ethical application. Inaugural members include Professor Jeanne Fromer, Walter J. Derenberg Professor of Intellectual Property Law and Co-Director of the Engelberg Center on Innovation Law & Policy, Professor Hany Farid, Professor in Electrical Engineering and Computer Sciences and in the School of Information at the University of California, Berkeley and Professor Renaud Lambiotte of the University of Oxford and the Alan Turing Institute, Metaphysic will continue developing technology that is shifting the paradigm for how we create, consume, and experience media.Metaphysic Logo (PRNewsfoto/Metaphysic)(PRNewswire)"As a pioneer in generative AI, Metaphysic is focused on developing the transformative power of this technology in an ethical and responsible way," said Thomas Graham, CEO and Co-founder of Metaphysic. "Professors Fromer, Farid, and Lambiotte will provide invaluable insight and guidance as we move our research forward in a way that empowers individuals to own and control their data while privileging consent, consideration and compensation as core principles for building products that impact the lives of real people."Over the last two years, Metaphysic has rapidly emerged as the industry leader in developing AI technologies and machine learning research to create immersive, photorealistic content at internet scale. Following a series of industry-defining performances on America's Got Talent, Metaphysic secured a partnership with Creative Artists Agency and received the role of Official Generative AI Partner for Miramax's forthcoming film "Here." In addition to its work in the entertainment space, Metaphysic has developed Every Anyone, a consumer-facing platform allowing individuals to create a hyperreal avatar backed by their biometric data.The newly-formed Scientific Advisory Board will work hand in hand with Metaphysic's in-house research team to guide the company's basic and applied research in computing vision, AI and machine learning, public policy and law, ethics in science and technology, cryptography, and more. This guidance will support the implementation of new research into Metaphysic's existing product offering and will help to create new proprietary technology products based on responsible innovation. Through the Board's continued research and development, Metaphysic hopes to provide an overall framework that can support the advancement of the entire industry in the ethical application of AI.The founding members of the Metaphysic Scientific Advisory Board bring decades of experience to their new roles, honed in education, practicing law, and conducting scientific research. Professor Jeanne Fromer is co-director of the NYU Engelberg Center on Innovation Law & Policy and co-author of the copyright textbook, Copyright Law: Cases and Material, used in over 65 law schools globally. Professor Hany Farid, Professor of Electrical Engineering and Computer Sciences in the School of Information at the University of California, Berkeley, is renowned for his expertise in digital image forensics and is often consulted to weigh in on AI-synthesized content. The board is rounded out by Professor Renaud Lambiotte, an instructor on Networks and Nonlinear Systems at the University of Oxford. ABOUT METAPHYSICMetaphysic is the industry leader in developing AI technologies and machine learning research to create immersive photorealistic content at internet scale. Recently named the official generative AI partner for Miramax's forthcoming feature film "Here" and a strategic partner of Creative Artists Agency (CAA), Metaphysic's cutting-edge proprietary technology has quickly positioned the company as an in-demand partner for the biggest names in Hollywood. Metaphysic's team of machine learning researchers and generative AI pioneers are focused on an ethical web3 economy where any person can own and control their biometric data while unlocking the future of creativity. Since 2018, the team behind Metaphysic has pioneered machine learning research in generative content. It has been the driving force behind the mass popularisation of hyperreal synthetic media via its @DeepTomCruise channel and performances on AGT. Find out more about our technology at www.metaphysic.ai. Media ContactFactory PR, Eef Vicca: [email protected] original content to download multimedia:https://www.prnewswire.com/news-releases/metaphysic-assembles-team-of-preeminent-artificial-intelligence-and-copyright-experts-to-lead-inaugural-scientific-advisory-board-301809574.htmlSOURCE MetaphysicThe 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 DescriptionA Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
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Metaphysic Assembles Team of Preeminent Artificial Intelligence and Copyright Experts to Lead Inaugural Scientific Advisory Board
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Metaphysic Assembles Team Preeminent Artificial Intelligence Experts Lead Inaugural Scientific Advisory Board Skip contentLiveNewsFeed AKConstruction MapPolitical BlogWeatherPodcastsContestsSubmit News TipSubmit Photos VideosNewsletterNewsLocalNationalCoronavirusCrimeEconomyPoliticsAnchorage VotesEducationInvestigativeCommunityMorning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaTrafficGas PricesSports907 SportsAlaskas OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonFeaturesFeed AKMillion Mile ChallengeNourish AlaskaTelling Alaskas StoryIn Depth AlaskaIts All GoodInside GatesOutside GatesWatching Your WalletThe Video VaultFoodRoadtrippinLivestream 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 BureauPowerNationInvestigate TVPress ReleasesMetaphysic Assembles Team Preeminent Artificial Intelligence Experts Lead Inaugural Scientific Advisory BoardPublished: Apr. 27, 2023 5:00 AM AKDTUpdated: 26 minutes agoInitial Group Academic Researchers, Scientists, Professors Establish Guiding Principles Metaphysics Basic Applied ResearchLONDON, April 27, 2023 PRNewswire Metaphysic announces today appointment scientific advisory board support companys efforts drive technological excellence AI, emphasizing ethical application. Inaugural members include Professor Jeanne Fromer, Walter J. Derenberg Professor Intellectual Property Law CoDirector Engelberg Center Innovation Law Policy, Professor Hany Farid, Professor Electrical Engineering Computer Sciences School Information University California, Berkeley Professor Renaud Lambiotte University Oxford Alan Turing Institute, Metaphysic continue developing technology shifting paradigm create, consume, experience media.Metaphysic Logo PRNewsfotoMetaphysicPRNewswireAs pioneer generative AI, Metaphysic focused developing transformative power technology ethical responsible way, said Thomas Graham, CEO Cofounder Metaphysic. Professors Fromer, Farid, Lambiotte provide invaluable insight guidance research forward way empowers individuals control data privileging consent, consideration compensation core principles building products impact lives real people.Over years, Metaphysic rapidly emerged industry leader developing AI technologies machine learning research create immersive, photorealistic content internet scale. Following series industrydefining performances Americas Got Talent, Metaphysic secured partnership Creative Artists Agency received role Official Generative AI Partner Miramaxs forthcoming film Here. In addition work entertainment space, Metaphysic developed Every Anyone, consumerfacing platform allowing individuals create hyperreal avatar backed biometric data.The newlyformed Scientific Advisory Board work hand hand Metaphysics inhouse research team guide companys basic applied research computing vision, AI machine learning, public policy law, ethics science technology, cryptography, more. This guidance support implementation new research Metaphysics existing product offering help create new proprietary technology products based responsible innovation. Through Boards continued research development, Metaphysic hopes provide overall framework support advancement entire industry ethical application AI.The founding members Metaphysic Scientific Advisory Board bring decades experience new roles, honed education, practicing law, conducting scientific research. Professor Jeanne Fromer codirector NYU Engelberg Center Innovation Law Policy coauthor copyright textbook, Law: Cases Material, 65 law schools globally. Professor Hany Farid, Professor Electrical Engineering Computer Sciences School Information University California, Berkeley, renowned expertise digital image forensics consulted weigh AIsynthesized content. The board rounded Professor Renaud Lambiotte, instructor Networks Nonlinear Systems University Oxford. ABOUT METAPHYSICMetaphysic industry leader developing AI technologies machine learning research create immersive photorealistic content internet scale. Recently named official generative AI partner Miramaxs forthcoming feature film Here strategic partner Creative Artists Agency CAA, Metaphysics cuttingedge proprietary technology quickly positioned company indemand partner biggest names Hollywood. Metaphysics team machine learning researchers generative AI pioneers focused ethical web3 economy person control biometric data unlocking future creativity. Since 2018, team Metaphysic pioneered machine learning research generative content. It driving force mass popularisation hyperreal synthetic media channel performances AGT. Find technology Media Factory PR, Eef Vicca: metaphysic original content download multimedia: MetaphysicThe 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 DescriptionA Gray Media Group, . Station 20022023 Gray Television, .
| 2,023 |
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] | 1 | 198,034 |
https://www.alaskasnewssource.com/prnewswire/2023/05/31/sana-raises-additional-28m-led-by-nea-build-universal-ai-platform-enterprise/
| 2023-05-31T00:00:00 |
en
|
Sana raises additional $28M led by NEA to build the universal AI platform for the enterprise
|
Sana raises additional $28M led by NEA to build the universal AI platform for the enterprise
Skip to contentLiveNewsRoadtrippin'Construction MapPolitical BlogWeatherPodcastsContestsSubmit News TipSubmit Photos and VideosNewsletterNewsLocalNationalCoronavirusCrimeEconomyPoliticsAnchorage VotesEducationInvestigativeCommunityRoadtrippin'Morning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaTrafficGas PricesSports907 SportsAlaska's OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonStats & PredictionsFeaturesMillion Mile ChallengeNourish AlaskaTelling Alaska's StoryIn Depth AlaskaIt's All GoodInside the GatesOutside the GatesWatching Your WalletThe Video VaultFoodRoadtrippin'Livestream 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 ReleasesWinter Weather Advisory is in effectDismiss Weather Alerts Alerts BarSana raises additional $28M led by NEA to build the universal AI platform for the enterprisePublished: May. 31, 2023 at 2:00 AM AKDT|Updated: 1 hour agoThe Swedish-born Sana scaleup becomes one of Europe's most highly funded AI companies with $62M in total Series B fundingSTOCKHOLM, May 31, 2023 /PRNewswire/ -- Sana, the leading AI-powered learning and knowledge platform, announced today it's landed another $28M in an opportunistic investment round led by NEA. Workday Ventures also joined the round. With a combined total of $62M in Series B funding, the Swedish-born scaleup is now one of the most highly funded AI companies.Sana Labs(PRNewswire)Sana's mission is to augment human intelligence through artificial intelligence. To that end, the company has built a category-defining product that blends the best of enterprise search, a learning management system, meeting tools, and a knowledge management system into one single platform.Underpinning this suite of tools is Sana AI, the company's latest release. Sana AI is an omnipresent assistant that can do everything from search across all your company's apps and take actions in response to natural language commands to generating real-time summaries of live meetings and creating entire learning courses from scratch and writing SQL to query your data. In other words, it's like ChatGPT for your company's knowledge.By augmenting an organization's ability to capture, organize, and access knowledge at every step through AI, Sana enables any team to move faster and be more productive—from sales and customer support teams to product specialists and software engineers."At Sana, we believe every organization's mission depends on the collective intelligence of its employees. That intelligence depends on knowledge, yet most institutional knowledge today is scattered across multiple tools, trapped in people's minds, and lost in verbal conversations. AI is the key to solving this problem at scale. By unlocking knowledge for every employee across any organization, we unlock global progress," said Joel Hellermark, Founder and CEO of Sana."We're thrilled to have the support from NEA and strategic investors like Workday Ventures on this mission."Sana wasn't looking for funding when NEA made its proactive offer. The scaleup had a healthy runway having closed a $34M Series B round led by Menlo Ventures last December. One of the reasons for the additional investor interest is commercial performance: Sana has grown its business 3x year over year.NEA will be represented on Sana's board by CEO Scott Sandell and Managing Director Philip Chopin. Since joining NEA in 1996, Sandell has played a critical role in many industry-transforming businesses, including Robinhood, Salesforce, Tableau Software, and Workday."Sana's past track record and current trajectory are exceptional. Thanks to top talent, bold vision, and rare organizational alignment, we believe they've already built a world-class learning and knowledge platform. But what excites us most is where Sana is going next: indexing every form of an organization's functional data through LLMs to become the de-facto AI platform for the enterprise. The use cases for this type of product are endless," said Scott Sandell, CEO at NEA.In addition to Sana's commercial growth and ambitious team, NEA was impressed by the level of customer advocacy. The platform is used by an impressive client roster of market-leading companies like Merck, Kry/Livi, and Svea Solar—all of whom praise Sana's superior user experience and product velocity."Since day one, we've been amazed at Sana's pace of innovation and commitment to addressing customer feedback. The platform is more than a tool—it's become Svea Solar's home for learning and knowledge. We see the latest iteration of Sana AI as a productivity game-changer," said Hanna Manberg, CHRO at Svea Solar.With the additional funding, Sana will continue expanding its product development and commercial teams across Stockholm, London, and New York offices. Sana's headquarters will remain in Stockholm, where founder and CEO Joel Hellermark founded the company aged 19, six years after teaching himself to code in C."Joel is an exceptional founder. This Series B extension is a testament to his technical and commercial prowess and visionary leadership. As we enter the new age of artificial intelligence, we believe the Sana team is well positioned to become one of the world's most successful and impactful AI companies," said Philip Chopin, Managing Director at NEA UK.About SanaSana is an AI-powered learning platform that empowers organizations to find, share, and harness the knowledge they need to achieve their missions. Backed by some of the world's leading investors, operators, and founders, Sana has raised more than $85M to date. The company's headquarters are in Stockholm, Sweden, with offices in London and New York. For more information, head to www.sanalabs.com.Sana ContactJon [email protected] NEANew Enterprise Associates, Inc. (NEA) is a global venture capital firm focused on helping entrepreneurs build transformational businesses across multiple stages, sectors and geographies. Founded in 1977, NEA has over $25 billion in assets under management, as of March 31, 2023, and invests in technology and healthcare companies at all stages in a company's lifecycle, from seed stage through IPO. The firm's long track record of investing includes more than 270 portfolio company IPOs and more than 450 mergers and acquisitions. For more information, please visit www.nea.com.View original content to download multimedia:https://www.prnewswire.com/news-releases/sana-raises-additional-28m-led-by-nea-to-build-the-universal-ai-platform-for-the-enterprise-301838430.htmlSOURCE NEAThe 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 DescriptionA Gray Media Group, Inc. Station - © 2002-2023 Gray Television, Inc.
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Sana raises additional $28M led by NEA to build the universal AI platform for the enterprise
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Sana raises additional 28M led NEA build universal AI platform enterprise Skip contentLiveNewsRoadtrippinConstruction MapPolitical BlogWeatherPodcastsContestsSubmit News TipSubmit Photos VideosNewsletterNewsLocalNationalCoronavirusCrimeEconomyPoliticsAnchorage VotesEducationInvestigativeCommunityRoadtrippinMorning EditionWeatherWeather HeadlinesWeather LabSky Watch AlaskaPicture AlaskaTrafficGas PricesSports907 SportsAlaskas OlympiansIron DogAthlete Of The WeekFishing ReportIditarodMount MarathonStats PredictionsFeaturesMillion Mile ChallengeNourish AlaskaTelling Alaskas StoryIn Depth AlaskaIts All GoodInside GatesOutside GatesWatching Your WalletThe Video VaultFoodRoadtrippinLivestream 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 ReleasesWinter Weather Advisory effectDismiss Weather Alerts Alerts BarSana raises additional 28M led NEA build universal AI platform enterprisePublished: May. 31, 2023 2:00 AM AKDTUpdated: 1 hour agoThe Swedishborn Sana scaleup Europes highly funded AI companies 62M total Series B fundingSTOCKHOLM, May 31, 2023 PRNewswire Sana, leading AIpowered learning knowledge platform, announced today landed 28M opportunistic investment round led NEA. Workday Ventures joined round. With combined total 62M Series B funding, Swedishborn scaleup highly funded AI companies.Sana LabsPRNewswireSanas mission augment human intelligence artificial intelligence. To end, company built categorydefining product blends best enterprise search, learning management system, meeting tools, knowledge management single platform.Underpinning suite tools Sana AI, companys latest release. Sana AI omnipresent assistant search companys apps actions response natural language commands generating realtime summaries live meetings creating entire learning courses scratch writing SQL query data. In words, like ChatGPT companys knowledge.By augmenting organizations ability capture, organize, access knowledge step AI, Sana enables team faster productivefrom sales customer support teams product specialists software engineers.At Sana, believe organizations mission depends collective intelligence employees. That intelligence depends knowledge, institutional knowledge today scattered multiple tools, trapped peoples minds, lost verbal conversations. AI key solving problem scale. By unlocking knowledge employee organization, unlock global progress, said Joel Hellermark, Founder CEO Sana.Were thrilled support NEA strategic investors like Workday Ventures mission.Sana wasnt looking funding NEA proactive offer. The scaleup healthy runway closed 34M Series B round led Menlo Ventures December. One reasons additional investor commercial performance: Sana grown business 3x year year.NEA represented Sanas board CEO Scott Sandell Managing Director Philip Chopin. Since joining NEA 1996, Sandell played critical role industrytransforming businesses, including Robinhood, Salesforce, Tableau Software, Workday.Sanas past track record current trajectory exceptional. Thanks talent, bold vision, rare organizational alignment, believe theyve built worldclass learning knowledge platform. But excites Sana going next: indexing form organizations functional data LLMs defacto AI platform enterprise. The use cases type product endless, said Scott Sandell, CEO NEA.In addition Sanas commercial growth ambitious team, NEA impressed level customer advocacy. The platform impressive client roster marketleading companies like Merck, KryLivi, Svea Solarall praise Sanas superior user experience product velocity.Since day one, weve amazed Sanas pace innovation commitment addressing customer feedback. The platform toolits Svea Solars home learning knowledge. We latest iteration Sana AI productivity gamechanger, said Hanna Manberg, CHRO Svea Solar.With additional funding, Sana continue expanding product development commercial teams Stockholm, London, New York offices. Sanas headquarters remain Stockholm, founder CEO Joel Hellermark founded company aged 19, years teaching code C.Joel exceptional founder. This Series B extension testament technical commercial prowess visionary leadership. As enter new age artificial intelligence, believe Sana team positioned worlds successful impactful AI companies, said Philip Chopin, Managing Director NEA UK.About SanaSana AIpowered learning platform empowers organizations find, share, harness knowledge need achieve missions. Backed worlds leading investors, operators, founders, Sana raised 85M date. The companys headquarters Stockholm, Sweden, offices London New York. For information, head Jon LexaJon NEANew Enterprise Associates, . NEA global venture capital firm focused helping entrepreneurs build transformational businesses multiple stages, sectors geographies. Founded 1977, NEA 25 billion assets management, March 31, 2023, invests technology healthcare companies stages companys lifecycle, seed stage IPO. The firms long track record investing includes 270 portfolio company IPOs 450 mergers acquisitions. For information, visit original content download multimedia: NEAThe 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 DescriptionA Gray Media Group, . Station 20022023 Gray Television, .
| 2,023 |
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https://www.aljazeera.com/economy/2023/7/14/us-watchdog-probes-chatgpt-maker-openai-over-false-information
| 2023-07-17T00:00:00 |
en
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ChatGPT creator OpenAI faces US probe over libellous output | Technology | Al Jazeera
|
ChatGPT creator OpenAI faces US probe over libellous output | Technology | Al Jazeera
Skip linksSkip to Contentplay Live Show navigation menuNavigation menuNewsShow more news sectionsMiddle EastAfricaAsiaUS & CanadaLatin AmericaEuropeAsia PacificUkraine warFeaturesEconomyOpinionVideoMoreShow more sectionsCoronavirusClimate CrisisInvestigationsInteractivesIn PicturesScience & TechnologySportsPodcastsplay Live Click here to searchsearchEconomy|TechnologyChatGPT creator OpenAI faces US probe over libellous outputUS Federal Trade Commission asks startup to provide information about safeguards amid reports of defamatory content.OpenAI is being probed by the US Federal Trade Commission over suspected violations of consumer protection law [File: Michael Dwyer/AP Photo]Published On 14 Jul 202314 Jul 2023The United States’ competition watchdog has opened an investigation into ChatGPT creator OpenAI amid suspicions the startup broke the law by scraping public data and publishing false and defamatory information.
In a 20-page letter, the US Federal Trade Commission (FTC) has requested OpenAI to provide detailed information about its technology and privacy protections, including any efforts to prevent a repeat of incidents in which its groundbreaking chatbot published false and disparaging information about members of the public.
The Washington Post first reported on the “expansive” probe on Thursday.
The FTC declined to comment when contacted by Al Jazeera.
OpenAI chief executive Sam Altman said the leak of the regulator’s probe was “disappointing” and would not help build trust.
“We built GPT-4 on top of years of safety research and spent 6+ months after we finished initial training making it safer and more aligned before releasing it,” Altman said on Twitter, referring to ChatGPT’s more advanced successor.
“We protect user privacy and design our systems to learn about the world, not private individuals. We’re transparent about the limitations of our technology, especially when we fall short.”
Existential risks
The FTC investigation marks potentially the strongest regulatory move yet to rein in the nascent field of artificial intelligence, whose rapid advancement has generated excitement as well as warnings about existential risks to humanity.
On Wednesday, FTC chair Lina Khan told a congressional committee the agency was concerned about “fraud and deception” associated with ChatGPT’s output.
“We’ve heard about libel, defamatory statements, flatly untrue things that are emerging,” Khan said, without disclosing the FTC probe.
OpenAI’s ChatGPT set the tech world alight upon its launch in November with its uncanny ability to mimic human speech.
But the chatbot has also generated controversy due to its tendency to produce inaccurate and offensive content.
Global regulators have been scrambling to develop rules to govern AI as tech firms are rapidly rolling out more advanced versions of the technology.
The US Senate is considering two separate bipartisan AI bills aimed at ensuring US competitiveness and improving transparency around the technology’s use by the government.
The European Union in April reached a preliminary deal on legislation to govern the use of AI that would categorise technologies as posing an unacceptable risk, high risk or limited risk.
Source: Al Jazeera and news agenciesaj-logoaj-logoaj-logoAboutShow moreAbout UsCode of EthicsTerms and ConditionsEU/EEA Regulatory NoticePrivacy PolicyCookie PolicyCookie PreferencesSitemapCommunity GuidelinesWork for usHR QualityConnectShow moreContact UsAdvertise with usAppsChannel FinderTV SchedulePodcastsSubmit a TipOur ChannelsShow moreAl Jazeera ArabicAl Jazeera EnglishAl Jazeera Investigative UnitAl Jazeera MubasherAl Jazeera DocumentaryAl Jazeera BalkansAJ+Our NetworkShow moreAl Jazeera Centre for StudiesAl Jazeera Media InstituteLearn ArabicAl Jazeera Centre for Public Liberties & Human RightsAl Jazeera ForumAl Jazeera Hotel PartnersFollow Al Jazeera English:facebooktwitteryoutubeinstagram-colored-outlinerss© 2023 Al Jazeera Media Network
|
ChatGPT creator OpenAI faces US probe over libellous output
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ChatGPT creator OpenAI faces US probe libellous output Technology Al Jazeera Skip linksSkip Contentplay Live Show navigation menuNavigation menuNewsShow news sectionsMiddle EastAfricaAsiaUS CanadaLatin AmericaEuropeAsia PacificUkraine warFeaturesEconomyOpinionVideoMoreShow sectionsCoronavirusClimate CrisisInvestigationsInteractivesIn PicturesScience TechnologySportsPodcastsplay Live Click searchsearchEconomyTechnologyChatGPT creator OpenAI faces US probe libellous outputUS Federal Trade Commission asks startup provide information safeguards amid reports defamatory content.OpenAI probed US Federal Trade Commission suspected violations consumer protection law [File: Michael DwyerAP Photo]Published On 14 Jul 202314 Jul 2023The United States competition watchdog opened investigation ChatGPT creator OpenAI amid suspicions startup broke law scraping public data publishing false defamatory information. In 20 letter, US Federal Trade Commission FTC requested OpenAI provide detailed information technology privacy protections, including efforts prevent repeat incidents groundbreaking chatbot published false disparaging information members public. The Washington Post reported expansive probe Thursday. The FTC declined comment contacted Al Jazeera. OpenAI chief executive Sam Altman said leak regulators probe disappointing help build trust. We built GPT4 years safety research spent 6 months finished initial training making safer aligned releasing it, Altman said Twitter, referring ChatGPTs advanced successor. We protect user privacy design systems learn world, private individuals. Were transparent limitations technology, especially fall short. Existential risks The FTC investigation marks potentially strongest regulatory rein nascent field artificial intelligence, rapid advancement generated excitement warnings existential risks humanity. On Wednesday, FTC chair Lina Khan told congressional committee agency concerned fraud deception associated ChatGPTs output. Weve heard libel, defamatory statements, flatly untrue things emerging, Khan said, disclosing FTC probe. OpenAIs ChatGPT set tech world alight launch November uncanny ability mimic human speech. But chatbot generated controversy tendency produce inaccurate offensive content. Global regulators scrambling develop rules govern AI tech firms rapidly rolling advanced versions technology. The US Senate considering separate bipartisan AI bills aimed ensuring US competitiveness improving transparency technologys use government. The European Union April reached preliminary deal legislation govern use AI categorise technologies posing unacceptable risk, high risk limited risk. Source: Al Jazeera news agenciesajlogoajlogoajlogoAboutShow moreCode EthicsEUEEA Regulatory Notice Policy PreferencesSitemapCommunity GuidelinesWork usHR QualityConnectShow UsAdvertise usAppsChannel FinderTV SchedulePodcastsSubmit TipOur ChannelsShow moreAl Jazeera ArabicAl Jazeera EnglishAl Jazeera Investigative UnitAl Jazeera MubasherAl Jazeera DocumentaryAl Jazeera BalkansAJOur NetworkShow moreAl Jazeera Centre StudiesAl Jazeera Media InstituteLearn ArabicAl Jazeera Centre Public Liberties Human RightsAl Jazeera ForumAl Jazeera Hotel PartnersFollow Al Jazeera English:facebooktwitteryoutubeinstagramcoloredoutlinerss 2023 Al Jazeera Media Network
| 2,023 |
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https://www.alpenhornnews.com/artificial-intelligence-of-things-aiot-market-19815/
| 2022-06-27T00:00:00 |
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Artificial Intelligence of Things (AIoT) Market Technology, New Innovations, Forecast Report to 2026
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Artificial Intelligence of Things (AIoT) Market Technology, New Innovations, Forecast Report to 2026
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This report provides a deep insight into the global Artificial Intelligence of Things (AIoT) market covering all its essential aspects. This ranges from macro overview of the market to micro details of the industry performance, recent trends, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc. This report is a must-read for entrepreneurs, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Artificial Intelligence of Things (AIoT) market in any manner.
The business intelligence report on Artificial Intelligence of Things (AIoT) market entails a comprehensive assessment of the factors impacting the industry dynamics over the estimated timeline. It focusses on the major growth catalysts and remunerative opportunities that could boost the profitability ratio of the market during the projected timeframe. It also includes the constraints and challenges to the industry growth along with strategies to subdue their relevant impacts.
Furthermore, the report contains an exclusive study of the various market segmentations to assist new investors and shareholders in identifying areas with high revenue potential. Additionally, it encompasses case studies on the COVID-19 pandemic to offer a clearer understanding of the changing business landscape.
Request Sample Copy of this Report @ https://alpenhornnews.com/request-sample/19815Key highlights from COVID-19 impact analysis:
Global COVID-19 status and economic overview.
Short term & long-term impacts of the pandemic on the overall industry development.
Risk assessment with respect to business expansion amidst the changing environment.
A gist of the regional landscape:
The regional landscape of the Artificial Intelligence of Things (AIoT) market is categorized into North America, Europe, Asia-Pacific, Middle East and Africa, South America.
A synopsis of the performance of each regional market in relation to their growth rate over the projected timeline is comprised in the report.
Information on the sales accrued, revenue, and growth rate of each geography is also included.
Other highlights from the Artificial Intelligence of Things (AIoT) market report:
The product landscape of the Artificial Intelligence of Things (AIoT) market is comprised of Software,Hardware,Integrated Platforms andServices.
Insights about the past data and future estimates for production, value, and growth rate of each product type is documented.
The report divides the application spectrum of the Artificial Intelligence of Things (AIoT) market into Large Enterprises,Small and Mid-sized Enterprises (SMEs), ,Geographically, the detailed analysis of production, trade of the following countries is covered in Chapter 4.2, 5: ,United States ,Europe ,China ,Japan andIndia.
It assesses the consumption, value, and growth for each application over the assessment period.
Meanwhile, the competitive landscape of the Artificial Intelligence of Things (AIoT) market is defined by major players like Pinnacle Solutions, Inc.,Cisco Systems,Axiomtek,Pinnacle Solutions, Inc.,NXP,IBM Corporation,Amazon Inc.,Hewlett Packard Enterprise,Analog Devices Inc.,Sharp Global andHuawei Technologies Co. Ltd.
Important details about the manufactured products, service offerings, pricing model, sales, revenue, and gross margins of the enlisted firms are given.
The study covers PEST analysis to assist both existing and newcomers enhance their competitiveness in the industry.
Crucial data on distribution model, product messaging and position, and pricing patterns is included to provide a detailed ‘market entry strategy’ analysis.
An overview of information related to geographic indicators included in the report:
Data on consumption rates in various regions.
During the forecast period, consumption rates in all regions are expected to rise.
The market share of each region studied in the report is expected to grow.
Regional contribution and income generation in all regions.
The expected growth rate of each region in the expected duration.
What are the market factors that are explained in the report?
Study Coverage: The report covers leading manufacturers, market segments, the scope of the products offered in the global Artificial Intelligence of Things (AIoT) market over the years, and market study objectives. It also showcases a categorized study provided in the report based on the type of the product and application.
Executive summary: The report provides a summary of key studies, the growth rate of the market, competitive areas, market drivers, trends, issues, and macroscopic indicators.
Production by region: The report here provides detailed information regarding the import, export, production, revenue, and key players of all the regional markets.
Profile of Manufacturers: The companies listed under this section are studied based on SWOT analysis, products, production, value, capacity, and other growth drivers.
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Artificial Intelligence of Things (AIoT) Market Technology, New Innovations, Forecast Report to 2026
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Artificial Intelligence Things AIoT Market Technology, New Innovations, Forecast Report 2026 Us June 27, 2022 Business Health Science Technology World Business Health Science Technology World Business Health Science Technology World technology Artificial Intelligence Things AIoT Market Technology, New Innovations, Forecast Report 2026Published: Just Admin Request Free Sample This report provides deep insight global Artificial Intelligence Things AIoT market covering essential aspects. This ranges macro overview market micro details industry performance, recent trends, key market drivers challenges, SWOT analysis, Porters forces analysis, value chain analysis, etc. This report mustread entrepreneurs, investors, researchers, consultants, business strategists, kind stake planning foray Artificial Intelligence Things AIoT market manner. The business intelligence report Artificial Intelligence Things AIoT market entails comprehensive assessment factors impacting industry dynamics estimated timeline. It focusses major growth catalysts remunerative opportunities boost profitability ratio market projected timeframe. It includes constraints challenges industry growth strategies subdue relevant impacts. Furthermore, report contains exclusive study market segmentations assist new investors shareholders identifying areas high revenue potential. Additionally, encompasses case studies COVID19 pandemic offer clearer understanding changing business landscape. Request Sample Copy Report @ highlights COVID19 impact analysis: Global COVID19 status economic overview. Short term longterm impacts pandemic overall industry development. Risk assessment respect business expansion amidst changing environment. A gist regional landscape: The regional landscape Artificial Intelligence Things AIoT market categorized North America, Europe, AsiaPacific, Middle East Africa, South America. A synopsis performance regional market relation growth rate projected timeline comprised report. Information sales accrued, revenue, growth rate geography included. Other highlights Artificial Intelligence Things AIoT market report: The product landscape Artificial Intelligence Things AIoT market comprised Software,Hardware,Integrated Platforms andServices. Insights past data future estimates production, value, growth rate product type documented. The report divides application spectrum Artificial Intelligence Things AIoT market Large Enterprises,Small Midsized Enterprises SMEs, ,Geographically, detailed analysis production, trade following countries covered Chapter 4.2, 5: ,United States ,Europe ,China ,Japan andIndia. It assesses consumption, value, growth application assessment period. Meanwhile, competitive landscape Artificial Intelligence Things AIoT market defined major players like Pinnacle Solutions, .,Cisco Systems,Axiomtek,Pinnacle Solutions, .,NXP,IBM Corporation,Amazon .,Hewlett Packard Enterprise,Analog Devices .,Sharp Global andHuawei Technologies Co. Ltd. Important details manufactured products, service offerings, pricing model, sales, revenue, gross margins enlisted firms given. The study covers PEST analysis assist existing newcomers enhance competitiveness industry. Crucial data distribution model, product messaging position, pricing patterns included provide detailed market entry strategy analysis. An overview information related geographic indicators included report: Data consumption rates regions. During forecast period, consumption rates regions expected rise. The market share region studied report expected grow. Regional contribution income generation regions. The expected growth rate region expected duration. What market factors explained report? Study Coverage: The report covers leading manufacturers, market segments, scope products offered global Artificial Intelligence Things AIoT market years, market study objectives. It showcases categorized study provided report based type product application. Executive summary: The report provides summary key studies, growth rate market, competitive areas, market drivers, trends, issues, macroscopic indicators. Production region: The report provides detailed information import, export, production, revenue, key players regional markets. Profile Manufacturers: The companies listed section studied based SWOT analysis, products, production, value, capacity, growth drivers. 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| 2,022 |
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] | 1 | 198,037 |
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| 2022-09-04T00:00:00 |
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Performing Artificial Intelligence Solutions market share to record robust growth through 2028
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Performing Artificial Intelligence Solutions market share to record robust growth through 2028
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Performing Artificial Intelligence Solutions market share record robust growth 2028 Us September 04, 2022 Business Health Science Technology World Business Health Science Technology World Business Health Science Technology World
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https://www.americanbankingnews.com/2020/01/29/decentralized-machine-learning-dml-achieves-market-capitalization-of-203726-00.html
| 2020-01-30T00:00:00 |
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Decentralized Machine Learning (DML) Achieves Market Capitalization of $203,726.00 - American Banking News
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Decentralized Machine Learning (DML) Achieves Market Capitalization of $203,726.00 - American Banking News
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Decentralized Machine Learning (DML) Achieves Market Capitalization of $203,726.00
Posted by ABMN Staff on Jan 29th, 2020 // No Comments
Decentralized Machine Learning (CURRENCY:DML) traded down 2.5% against the US dollar during the twenty-four hour period ending at 0:00 AM ET on January 29th. One Decentralized Machine Learning token can now be bought for about $0.0014 or 0.00000015 BTC on popular exchanges including DDEX and IDEX. Decentralized Machine Learning has a market capitalization of $203,726.00 and approximately $37,112.00 worth of Decentralized Machine Learning was traded on exchanges in the last 24 hours. In the last week, Decentralized Machine Learning has traded 7.2% higher against the US dollar.
Here’s how other cryptocurrencies have performed in the last 24 hours:
Get Decentralized Machine Learning alerts:
XRP (XRP) traded down 1.9% against the dollar and now trades at $0.23 or 0.00002508 BTC.
Bitcoin SV (BSV) traded down 0.7% against the dollar and now trades at $293.54 or 0.03139038 BTC.
Tether (USDT) traded down 0% against the dollar and now trades at $1.00 or 0.00010708 BTC.
Binance Coin (BNB) traded 1.6% lower against the dollar and now trades at $17.92 or 0.00191665 BTC.
TRON (TRX) traded 2.5% lower against the dollar and now trades at $0.0184 or 0.00000197 BTC.
Stellar (XLM) traded down 0.6% against the dollar and now trades at $0.0609 or 0.00000652 BTC.
Chainlink (LINK) traded 2.1% higher against the dollar and now trades at $2.78 or 0.00029758 BTC.
Neo (NEO) traded down 2.4% against the dollar and now trades at $11.13 or 0.00119006 BTC.
COZ (COZ) traded up 26.7% against the dollar and now trades at $0.22 or 0.00004541 BTC.
Crypto.com Chain (CRO) traded 0.3% lower against the dollar and now trades at $0.0381 or 0.00000379 BTC.
Decentralized Machine Learning Profile
Decentralized Machine Learning launched on March 9th, 2018. Decentralized Machine Learning’s total supply is 272,937,007 tokens and its circulating supply is 144,015,447 tokens. Decentralized Machine Learning’s official message board is medium.com/@decentralizedml. Decentralized Machine Learning’s official website is decentralizedml.com. The Reddit community for Decentralized Machine Learning is /r/decentralizedML and the currency’s Github account can be viewed here. Decentralized Machine Learning’s official Twitter account is @DecentralizedML.
Decentralized Machine Learning Token Trading
Decentralized Machine Learning can be purchased on these cryptocurrency exchanges: IDEX and DDEX. It is usually not currently possible to buy alternative cryptocurrencies such as Decentralized Machine Learning directly using U.S. dollars. Investors seeking to trade Decentralized Machine Learning should first buy Bitcoin or Ethereum using an exchange that deals in U.S. dollars such as Coinbase, GDAX or Gemini. Investors can then use their newly-acquired Bitcoin or Ethereum to buy Decentralized Machine Learning using one of the aforementioned exchanges.
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Decentralized Machine Learning (DML) Achieves Market Capitalization of $203,726.00
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Decentralized Machine Learning DML Achieves Market Capitalization 203,726.00 American Banking News Home About Email Newsletter Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings Daily Ratings News Decentralized Machine Learning Complete form receive latest headlines analysts recommendations Decentralized Machine Learning free daily email newsletter: Follow Recent Posts FansTime FTI Tops 1Day Volume 34,446.00 Darico Ecosystem Coin Trading 32.3 Lower Over Last Week DEC Rapids RPD Price Tops 0.0001 Major Exchanges EOS Force Price Hits 0.0025 Top Exchanges EOSC NuBits USNBT Market Capitalization Tops 696,422.00 Ubcoin Market UBC Market Cap Reaches 526,584.00 Ripio Credit Network Tops 24Hour Volume 2.01 Million RCN ODUWA OWC Price Hits 0.12 Major Exchanges Wirex Token Price Up 3.4 Over Last 7 Days WXT eXPerience Chain 24Hour Volume Tops 14,672.00 XPC SingularDTV Trading Up 2.6 This Week SNGLS Decentralized Machine Learning DML Achieves Market Capitalization 203,726.00 Einsteinium EMC2 Price Reaches 0.0483 Top Exchanges Aragon ANT Price Tops 0.69 Major Exchanges Peercoin PPC Price Reaches 0.22 Top Exchanges HashCoin HSC 24Hour Volume Hits 562.00 Nash Exchange NEX Price Reaches 0.87 Top Exchanges SnowGem Reaches Market Capitalization 383,989.00 XSG MEXC Token Price Hits 0.0249 MEXC Digital Fantasy Sports DFS Hits 24 Hour Volume 343.00 Decentralized Machine Learning DML Achieves Market Capitalization 203,726.00 Posted ABMN Staff Jan 29th, 2020 No Comments Decentralized Machine Learning CURRENCY:DML traded 2.5 US dollar twentyfour hour period ending 0:00 AM ET January 29th. One Decentralized Machine Learning token bought 0.0014 0.00000015 BTC popular exchanges including DDEX IDEX. Decentralized Machine Learning market capitalization 203,726.00 approximately 37,112.00 worth Decentralized Machine Learning traded exchanges 24 hours. In week, Decentralized Machine Learning traded 7.2 higher US dollar. Heres cryptocurrencies performed 24 hours: Get Decentralized Machine Learning alerts: XRP XRP traded 1.9 dollar trades 0.23 0.00002508 BTC. Bitcoin SV BSV traded 0.7 dollar trades 293.54 0.03139038 BTC. Tether USDT traded 0 dollar trades 1.00 0.00010708 BTC. Binance Coin BNB traded 1.6 lower dollar trades 17.92 0.00191665 BTC. TRON TRX traded 2.5 lower dollar trades 0.0184 0.00000197 BTC. Stellar XLM traded 0.6 dollar trades 0.0609 0.00000652 BTC. Chainlink LINK traded 2.1 higher dollar trades 2.78 0.00029758 BTC. Neo NEO traded 2.4 dollar trades 11.13 0.00119006 BTC. COZ COZ traded 26.7 dollar trades 0.22 0.00004541 BTC. Chain CRO traded 0.3 lower dollar trades 0.0381 0.00000379 BTC. Decentralized Machine Learning Profile Decentralized Machine Learning launched March 9th, 2018. Decentralized Machine Learnings total supply 272,937,007 tokens circulating supply 144,015,447 tokens. Decentralized Machine Learnings official message board Decentralized Machine Learnings official website . The Reddit community Decentralized Machine Learning rdecentralizedML currencys Github account viewed here. Decentralized Machine Learnings official Twitter account Decentralized Machine Learning Token Trading Decentralized Machine Learning purchased cryptocurrency exchanges: IDEX DDEX. It usually currently possible buy alternative cryptocurrencies Decentralized Machine Learning directly U.S. dollars. Investors seeking trade Decentralized Machine Learning buy Bitcoin Ethereum exchange deals U.S. dollars Coinbase, GDAX Gemini. Investors use newlyacquired Bitcoin Ethereum buy Decentralized Machine Learning aforementioned exchanges. Receive News Updates Decentralized Machine Learning Daily Enter email address receive concise daily summary latest news updates Decentralized Machine Learning related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSPeercoin PPC Price Reaches 0.22 Top Exchanges NEXTeXPerience Chain 24Hour Volume Tops 14,672.00 XPC Latest News Darico Ecosystem Coin Trading 32.3 Lower Over Last Week Rapids Price Tops 0.0001 Major Exchanges FansTime Tops 1Day Volume 34,446.00 EOS Force Price Hits 0.0025 Top Exchanges NuBits Market Capitalization Tops 696,422.00 Ubcoin Market Market Cap Reaches 526,584.00 Leave Reply Click cancel reply. Name Required Mail published Required Website Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings 20062020 American Banking News
| 2,020 |
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https://www.americanbankingnews.com/2020/02/25/decentralized-machine-learning-dml-market-cap-tops-102586-00.html
| 2020-02-26T00:00:00 |
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Decentralized Machine Learning (DML) Market Cap Tops $102,586.00 - American Banking News
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Decentralized Machine Learning (DML) Market Cap Tops $102,586.00 - American Banking News
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Decentralized Machine Learning (DML) Market Cap Tops $102,586.00
Posted by ABMN Staff on Feb 25th, 2020 // No Comments
Decentralized Machine Learning (CURRENCY:DML) traded down 4.6% against the US dollar during the 24 hour period ending at 18:00 PM E.T. on February 25th. One Decentralized Machine Learning token can currently be bought for $0.0004 or 0.00000004 BTC on popular exchanges including DDEX and IDEX. Decentralized Machine Learning has a market cap of $102,586.00 and $9,563.00 worth of Decentralized Machine Learning was traded on exchanges in the last 24 hours. In the last week, Decentralized Machine Learning has traded down 13.9% against the US dollar.
Here is how other cryptocurrencies have performed in the last 24 hours:
Get Decentralized Machine Learning alerts:
XRP (XRP) traded 4.3% lower against the dollar and now trades at $0.26 or 0.00002745 BTC.
Bitcoin SV (BSV) traded down 6.3% against the dollar and now trades at $258.32 or 0.02760430 BTC.
Tether (USDT) traded 0.2% lower against the dollar and now trades at $1.00 or 0.00010651 BTC.
Binance Coin (BNB) traded 5.9% lower against the dollar and now trades at $20.56 or 0.00219655 BTC.
Stellar (XLM) traded 5.4% lower against the dollar and now trades at $0.0656 or 0.00000701 BTC.
TRON (TRX) traded down 2.4% against the dollar and now trades at $0.0192 or 0.00000205 BTC.
Chainlink (LINK) traded 7.6% lower against the dollar and now trades at $3.60 or 0.00038441 BTC.
Neo (NEO) traded down 5.4% against the dollar and now trades at $12.54 or 0.00133992 BTC.
COZ (COZ) traded 26.7% higher against the dollar and now trades at $0.22 or 0.00004541 BTC.
Crypto.com Chain (CRO) traded 0.3% lower against the dollar and now trades at $0.0381 or 0.00000379 BTC.
About Decentralized Machine Learning
Decentralized Machine Learning’s launch date was March 9th, 2018. Decentralized Machine Learning’s total supply is 272,937,007 tokens. Decentralized Machine Learning’s official Twitter account is @DecentralizedML. The Reddit community for Decentralized Machine Learning is /r/decentralizedML and the currency’s Github account can be viewed here. The official website for Decentralized Machine Learning is decentralizedml.com. The official message board for Decentralized Machine Learning is medium.com/@decentralizedml.
Buying and Selling Decentralized Machine Learning
Decentralized Machine Learning can be bought or sold on these cryptocurrency exchanges: DDEX and IDEX. It is usually not presently possible to buy alternative cryptocurrencies such as Decentralized Machine Learning directly using U.S. dollars. Investors seeking to trade Decentralized Machine Learning should first buy Bitcoin or Ethereum using an exchange that deals in U.S. dollars such as GDAX, Coinbase or Gemini. Investors can then use their newly-acquired Bitcoin or Ethereum to buy Decentralized Machine Learning using one of the aforementioned exchanges.
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Decentralized Machine Learning (DML) Market Cap Tops $102,586.00
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Decentralized Machine Learning DML Market Cap Tops 102,586.00 American Banking News Home About Email Newsletter Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings Daily Ratings News Decentralized Machine Learning Complete form receive latest headlines analysts recommendations Decentralized Machine Learning free daily email newsletter: Follow Recent Posts Aragon Price Up 37.4 Over Last 7 Days ANT Peercoin PPC Hits Market Cap 5.69 Million Einsteinium EMC2 One Day Trading Volume Hits 311,197.00 Decentralized Machine Learning DML Market Cap Tops 102,586.00 eXPerience Chain XPC Market Cap Reaches 512,852.00 ODUWA Price Tops 0.13 OWC Wirex Token Market Capitalization Tops 16.76 Million WXT EOS Force Achieves Market Cap 3.59 Million EOSC Ripio Credit Network Hits Market Cap 34.63 Million RCN Rapids Hits Market Capitalization 391,175.00 RPD Darico Ecosystem Coin DEC One Day Trading Volume Tops 56.00 FansTime FTI One Day Trading Volume Hits 49,124.00 Decentraland Hits Market Capitalization 46.10 Million MANA NOIA Network NOIA Price Down 16 Over Last Week Prometeus PROM Trading 20.2 Lower Over Last 7 Days Velas VLX Market Cap Reaches 26.59 Million BOSAGORA Price Hits 0.0597 Exchanges BOA WABnetwork WAB Market Capitalization Tops 51,037.00 BHEX Token BHT Reaches Market Cap 16.86 Million Wixlar Hits 24 Hour Volume 16,821.00 WIX Decentralized Machine Learning DML Market Cap Tops 102,586.00 Posted ABMN Staff Feb 25th, 2020 No Comments Decentralized Machine Learning CURRENCY:DML traded 4.6 US dollar 24 hour period ending 18:00 PM E.T. February 25th. One Decentralized Machine Learning token currently bought 0.0004 0.00000004 BTC popular exchanges including DDEX IDEX. Decentralized Machine Learning market cap 102,586.00 9,563.00 worth Decentralized Machine Learning traded exchanges 24 hours. In week, Decentralized Machine Learning traded 13.9 US dollar. Here cryptocurrencies performed 24 hours: Get Decentralized Machine Learning alerts: XRP XRP traded 4.3 lower dollar trades 0.26 0.00002745 BTC. Bitcoin SV BSV traded 6.3 dollar trades 258.32 0.02760430 BTC. Tether USDT traded 0.2 lower dollar trades 1.00 0.00010651 BTC. Binance Coin BNB traded 5.9 lower dollar trades 20.56 0.00219655 BTC. Stellar XLM traded 5.4 lower dollar trades 0.0656 0.00000701 BTC. TRON TRX traded 2.4 dollar trades 0.0192 0.00000205 BTC. Chainlink LINK traded 7.6 lower dollar trades 3.60 0.00038441 BTC. Neo NEO traded 5.4 dollar trades 12.54 0.00133992 BTC. COZ COZ traded 26.7 higher dollar trades 0.22 0.00004541 BTC. Chain CRO traded 0.3 lower dollar trades 0.0381 0.00000379 BTC. About Decentralized Machine Learning Decentralized Machine Learnings launch date March 9th, 2018. Decentralized Machine Learnings total supply 272,937,007 tokens. Decentralized Machine Learnings official Twitter account The Reddit community Decentralized Machine Learning rdecentralizedML currencys Github account viewed here. The official website Decentralized Machine Learning . The official message board Decentralized Machine Learning Buying Selling Decentralized Machine Learning Decentralized Machine Learning bought sold cryptocurrency exchanges: DDEX IDEX. It usually presently possible buy alternative cryptocurrencies Decentralized Machine Learning directly U.S. dollars. Investors seeking trade Decentralized Machine Learning buy Bitcoin Ethereum exchange deals U.S. dollars GDAX, Coinbase Gemini. Investors use newlyacquired Bitcoin Ethereum buy Decentralized Machine Learning aforementioned exchanges. Receive News Updates Decentralized Machine Learning Daily Enter email address receive concise daily summary latest news updates Decentralized Machine Learning related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSRapids Hits Market Capitalization 391,175.00 RPD NEXTEinsteinium EMC2 One Day Trading Volume Hits 311,197.00 Latest News Peercoin Hits Market Cap 5.69 Million Aragon Price Up 37.4 Over Last 7 Days Einsteinium One Day Trading Volume Hits 311,197.00 Wirex Token Market Capitalization Tops 16.76 Million Ripio Credit Network Hits Market Cap 34.63 Million EOS Force Achieves Market Cap 3.59 Million Leave Reply Click cancel reply. Name Required Mail published Required Website Analyst Ratings Dividends Earnings Estimates Guidance Highs Lows IPOS Options SEC Filings 20062020 American Banking News
| 2,020 |
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https://www.americanbankingnews.com/2021/07/15/lisk-machine-learning-price-tops-0-0232-on-major-exchanges-lml.html
| 2021-07-16T00:00:00 |
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Lisk Machine Learning Price Tops $0.0232 on Major Exchanges (LML) - American Banking News
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Lisk Machine Learning Price Tops $0.0232 on Major Exchanges (LML) - American Banking News
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Lisk Machine Learning Price Tops $0.0232 on Major Exchanges (LML)
Posted by ABMN Staff on Jul 15th, 2021
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Lisk Machine Learning (CURRENCY:LML) traded 11.4% higher against the US dollar during the one day period ending at 23:00 PM ET on July 15th. One Lisk Machine Learning coin can now be purchased for approximately $0.0232 or 0.00000073 BTC on popular exchanges. In the last seven days, Lisk Machine Learning has traded 8.9% lower against the US dollar. Lisk Machine Learning has a total market capitalization of $2.78 million and approximately $7,026.00 worth of Lisk Machine Learning was traded on exchanges in the last 24 hours.
Here is how related cryptocurrencies have performed in the last 24 hours:
Get Lisk Machine Learning alerts:
Tether (USDT) traded down 0% against the dollar and now trades at $1.00 or 0.00003129 BTC.
XRP (XRP) traded 0.9% lower against the dollar and now trades at $0.61 or 0.00001912 BTC.
Polkadot (DOT) traded 4% lower against the dollar and now trades at $13.20 or 0.00041278 BTC.
Internet Computer (ICP) traded down 3.9% against the dollar and now trades at $35.54 or 0.00111180 BTC.
Filecoin (FIL) traded 3.1% lower against the dollar and now trades at $48.07 or 0.00150388 BTC.
SHIBA INU (SHIB) traded down 2.1% against the dollar and now trades at $0.0000 or 0.00000000 BTC.
KnoxFS (old) (KFX) traded up 4.3% against the dollar and now trades at $19.25 or 0.00049793 BTC.
Bitcoin BEP2 (BTCB) traded 2.7% lower against the dollar and now trades at $31,919.39 or 0.99852456 BTC.
Klaytn (KLAY) traded 1.8% higher against the dollar and now trades at $0.93 or 0.00002921 BTC.
Fei Protocol (FEI) traded up 0.5% against the dollar and now trades at $1.00 or 0.00003141 BTC.
Lisk Machine Learning Coin Profile
Lisk Machine Learning’s total supply is 400,000,000 coins and its circulating supply is 120,000,000 coins. Lisk Machine Learning’s official Twitter account is @gny_io and its Facebook page is accessible here. Lisk Machine Learning’s official website is www.gny.io/lisk.
Buying and Selling Lisk Machine Learning
It is usually not presently possible to buy alternative cryptocurrencies such as Lisk Machine Learning directly using US dollars. Investors seeking to trade Lisk Machine Learning should first buy Ethereum or Bitcoin using an exchange that deals in US dollars such as Coinbase, Gemini or Changelly. Investors can then use their newly-acquired Ethereum or Bitcoin to buy Lisk Machine Learning using one of the exchanges listed above.
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 Price Tops $0.0232 on Major Exchanges (LML)
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Lisk Machine Learning Price Tops 0.0232 Major Exchanges 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 Price Tops 0.0232 Major Exchanges LML Posted ABMN Staff Jul 15th, 2021 Share Twitter Share Facebook Share LinkedIn Share Stocktwits Lisk Machine Learning CURRENCY:LML traded 11.4 higher US dollar day period ending 23:00 PM ET July 15th. One Lisk Machine Learning coin purchased approximately 0.0232 0.00000073 BTC popular exchanges. In seven days, Lisk Machine Learning traded 8.9 lower US dollar. Lisk Machine Learning total market capitalization 2.78 million approximately 7,026.00 worth Lisk Machine Learning traded exchanges 24 hours. Here related cryptocurrencies performed 24 hours: Get Lisk Machine Learning alerts: Tether USDT traded 0 dollar trades 1.00 0.00003129 BTC. XRP XRP traded 0.9 lower dollar trades 0.61 0.00001912 BTC. Polkadot DOT traded 4 lower dollar trades 13.20 0.00041278 BTC. Internet Computer ICP traded 3.9 dollar trades 35.54 0.00111180 BTC. Filecoin FIL traded 3.1 lower dollar trades 48.07 0.00150388 BTC. SHIBA INU SHIB traded 2.1 dollar trades 0.0000 0.00000000 BTC. KnoxFS old KFX traded 4.3 dollar trades 19.25 0.00049793 BTC. Bitcoin BEP2 BTCB traded 2.7 lower dollar trades 31,919.39 0.99852456 BTC. Klaytn KLAY traded 1.8 higher dollar trades 0.93 0.00002921 BTC. Fei Protocol FEI traded 0.5 dollar trades 1.00 0.00003141 BTC. Lisk Machine Learning Coin Profile Lisk Machine Learnings total supply 400,000,000 coins circulating supply 120,000,000 coins. Lisk Machine Learnings official Twitter account Facebook accessible here. Lisk Machine Learnings official website Buying Selling Lisk Machine Learning It usually presently possible buy alternative cryptocurrencies Lisk Machine Learning directly US dollars. Investors seeking trade Lisk Machine Learning buy Ethereum Bitcoin exchange deals US dollars Coinbase, Gemini Changelly. Investors use newlyacquired Ethereum Bitcoin buy Lisk Machine Learning exchanges listed above. 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 HEADLINEEdgeless EDG Trading Down 0.8 Over Last 7 Days NEXT HEADLINE Cyclone Protocol Price Up 2.3 Over Last 7 Days CYC You interested in: Stacks Hits Market Capitalization 1.53 Billion Drep [new] Tops 1Day Trading Volume 11.31 Million GameCredits Trading 11.2 Lower Over Last Week AC Milan Fan Token Trading Up 5.8 This Week Pepemon Pepeballs Market Capitalization Tops 612,094.98 Zenfuse Trading 0 Higher This Week Daily Ratings News Lisk Machine Learning Complete form receive latest headlines analysts recommendations Lisk Machine Learning free daily email newsletter: Follow Recent News Stacks Hits Market Capitalization 1.53 Billion STX Drep [new] Tops 1Day Trading Volume 11.31 Million DREP GameCredits Trading 11.2 Lower Over Last Week GAME AC Milan Fan Token Trading Up 5.8 This Week ACM Pepemon Pepeballs Market Capitalization Tops 612,094.98 PPBLZ Zenfuse Trading 0 Higher This Week ZEFU Alitas ALT Achieves Market Cap 53.71 Million CryptoTask 24 Hour Trading Volume Hits 105,929.00 CTASK Ergo 24 Hour Trading Volume Hits 1.54 Million ERG Eureka Coin Reaches Market Cap 777,529.43 ERK GravityCoin Price Down 23.8 Over Last Week GXX Coin Artist Price Tops 0.45 Major Exchanges COIN Azuki Trading 8.5 Lower This Week AZUKI CryptoFranc XCHF Tops 24Hour Trading Volume 26,906.00 Ideaology Trading 5.1 Lower This Week IDEA PlayFuel PLF Achieves Market Capitalization 2.69 Million Valor Token VALOR Price Hits 0.29 Top Exchanges Ultiledger ULT Tops 24Hour Volume 97,645.00 XcelToken Plus XLAB Tops 24Hour Trading Volume 199.00 Goose Finance Trading Down 6.1 Over Last 7 Days EGG Analyst Ratings Dividends Earnings Guidance Highs Lows IPOS Options SEC Filings 20182021 American Banking News
| 2,021 |
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https://www.arnnet.com.au/article/706440/microsoft-announces-generative-ai-security-copilot/
| 2023-03-29T00:00:00 |
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Microsoft announces generative AI Security Copilot - ARN
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Microsoft announces generative AI Security Copilot - ARN
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Microsoft announces generative AI Security Copilot
Microsoft announces generative AI Security Copilot
Microsoft’s new generative AI security system grafts GPT-4 into its security offerings for integrated analysis and responses.
Jon Gold (CSO (US))
29 March, 2023 06:58
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Microsoft announced its AI Security Copilot, a GPT-4 implementation that brings generative AI capabilities to its in-house security suite, and features a host of new visualisation and analysis functions.AI Security Copilot’s basic interface is similar to the chatbot functionality familiar to generative AI users. It can be used in the same way, to answer security questions in a natural manner, but the more impressive features stem from its tight integration with Microsoft’s existing security products, including Defender, Sentinel, Entra, Purview, Priva, and Intune. Copilot can interpret data from all of those security products and provide automated, in-depth explanations (including visualisations), as well as suggested remedies.
Furthermore, the system will have an ability to take action against some kinds of threats – deleting email messages that contain malicious content identified by a previous analysis, for example. Microsoft said that it has plans to expand Security Copilot’s connectivity options beyond the company’s own products, but did not offer any further details in a livestream and official blog post detailing the product.Microsoft noted that, as a generative AI product, Security Copilot isn’t going to give correct answers 100% of the time, and that it will need additional training and input from early users to reach its full potential.Automation one benefit of AI Security Copilot, but challenges remainAccording to AI experts, it’s a powerful system, though it’s not quite as novel as Microsoft presented. Avivah Litan, distinguished vice president and analyst at Gartner, said that IBM’s had similar capabilities via it’s Watson AI for years.“The AI here is faster and better, but the functionality is the same,” she said. “It’s a nice offering, but it doesn’t solve the problems that users have with generative AI.”Regardless of those problems – the largest of which is Security Copilot’s admitted inability to provide accurate information in all cases – the potential upsides of the system are still impressive, according to IDC research vice president Chris Kissel.“The big payoff here is that so much more stuff could be automated,” he said. “The idea that you have a ChatGPT writing something dynamically and the analytics to judge it in context, in the same layer, is compelling.”Both analysts, however, were slightly skeptical about Microsoft’s professed policy on data sharing – essentially, that private data will not be used to train the foundational AI models and that all user information will stay under the user’s control. The issue, they said, was that incident data is critical for training AI models like the one used for Security Copilot, and that the company hadn’t offered a lot of insight into how, precisely, such data would be handled.“It is a concern,” said Kissel. “If you’re trying to do something involving, say, a specific piece of intellectual property, can there be safeguards that keep the data in place?”“How do we know the data’s really protected if they don’t give the tools to look at it?” said Litan.Microsoft did not announce an availability date for Security Copilot today, but said that “we look forward to sharing more soon.”
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Microsoft announces generative AI Security Copilot
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Microsoft announces generative AI Security Copilot ARN ARN Australian Reseller News News ANALYSIS Analysis Profiles Podcasts Executive Roundtables ECOSYSTEM Distributor Directory Vendor Directory Innovation Awards Gallery Events View events Content Hub Brand Posts Microsites Channel Roadmap Webinars Digital Magazines ARN Library online Sign Existing Member Forgot password? Join ARN Sign gain exclusive access email subscriptions, event invitations, competitions, giveaways, more. Sign Menu ARN Microsoft announces generative AI Security Copilot Microsoft announces generative AI Security Copilot Microsofts new generative AI security grafts GPT4 security offerings integrated analysis responses. Jon Gold CSO US 29 March, 2023 06:58 share print email Distributors Arrow Electronics Auscomp Computers Dicker Data Ingram Micro Australia Leader Computers Mia Distribution Multimedia Technology MMT rhipe Synnex Tech Data Australia XiT Distribution Comments Microsoft announced AI Security Copilot, GPT4 implementation brings generative AI capabilities inhouse security suite, features host new visualisation analysis functions.AI Security Copilots basic interface similar chatbot functionality familiar generative AI users. It way, answer security questions natural manner, impressive features stem tight integration Microsofts existing security products, including Defender, Sentinel, Entra, Purview, Priva, Intune.Copilot interpret data security products provide automated, indepth explanations including visualisations, suggested remedies. Furthermore, ability action kinds threats deleting email messages contain malicious content identified previous analysis, example.Microsoft said plans expand Security Copilots connectivity options companys products, offer details livestream official blog post detailing product.Microsoft noted that, generative AI product, Security Copilot isnt going correct answers 100 time, need additional training input early users reach potential.Automation benefit AI Security Copilot, challenges remainAccording AI experts, powerful system, novel Microsoft presented. Avivah Litan, distinguished vice president analyst Gartner, said IBMs similar capabilities Watson AI years.The AI faster better, functionality same, said. Its nice offering, doesnt solve problems users generative AI.Regardless problems largest Security Copilots admitted inability provide accurate information cases potential upsides impressive, according IDC research vice president Chris Kissel.The big payoff stuff automated, said. The idea ChatGPT writing dynamically analytics judge context, layer, compelling.Both analysts, however, slightly skeptical Microsofts professed policy data sharing essentially, private data train foundational AI models user information stay users control.The issue, said, incident data critical training AI models like Security Copilot, company hadnt offered lot insight how, precisely, data handled.It concern, said Kissel. If youre trying involving, say, specific piece intellectual property, safeguards data place?How know datas protected dont tools look it? said Litan.Microsoft announce availability date Security Copilot today, said look forward sharing soon. How new generation servers driving sustainability innovation More Dell Technologies TwitterLinkedIn Join newsletter Join Or Sign LinkedIn Sign Facebook Sign gain exclusive access email subscriptions, event invitations, competitions, giveaways, more. Membership free, security privacy remain protected. View privacy policy signing up. 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| 2,023 |
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https://www.asiaone.com/digital/skin-game-video-chat-apps-tout-inclusive-ai-features
| 2021-06-08T00:00:00 |
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Skin in the game: Video chat apps tout 'inclusive' AI features, Digital News - AsiaOne
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Skin in the game: Video chat apps tout 'inclusive' AI features, Digital News - AsiaOne
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Skin in the game: Video chat apps tout 'inclusive' AI features
Reuters
Jun 08, 2021
A handout photo. A photo illustration dated June 2, 2021 shows how Google's new light adjustments feature for its Meet video conferencing tool brightens the face of a user who is underexposed because of a window in the background.
PHOTO: Reuters via Google
Video conferencing services have for years boasted that their technology is “intuitive” to use or “integrated” to function with other tools, but now vendors such as Google and Cisco can hardly go a blog post without trumpeting a different attribute: “inclusive.”
The latest buzzword, and the product development that accompanies it, shows how tech companies are newly focused on assuring Black users and other persons of color that online chat products will not leave them out in the cold.
The changes stem in part from the rise of the Black Lives Matter movement - which has prompted vendors and customers alike to think beyond the needs of a white, English-speaking audience - and the pandemic, which created a large "remote" workforce heavily dependent on technology.
Alphabet Inc's Google this month plans to deploy an artificial intelligence (AI) feature that addresses the longstanding issue of darker skin tones being under-illuminated in video chats.
Cisco Systems Inc in January launched a gesture-recognition feature to display a thumbs-up in Webex, taking pains to assure that skin tones would not affect performance.\
Read AlsoGoogle Meet won't limit meetings on free plans until March 31, 2021
LogMeIn Inc's GoToMeeting, Microsoft Corp's Teams and Facebook Inc's Workplace are adding translation or pronunciation options in what they describe as an equity push.
"Technology is fundamentally today just not as inclusive as you want it to be," said Jeetu Patel, senior vice president and general manager for Cisco security and collaboration. Setting "values and principles that a product should stand for" has become essential, he said.
The tech industry has long been under fire for a poor record on workplace diversity and a failure to recognize the ways in which product design can perpetuate discrimination.
Worries about bias in video conferencing picked up last September after Colin Madland, a doctoral student at the University of Victoria in British Columbia, Canada, tweeted a screenshot of a Black colleague appearing headless when deploying a virtual background on Zoom.
A handout photo. A screengrab dated June 2, 2021 shows a user during a Google Meet video call appearing underexposed because of the stark contrast in light between the foreground and background.
PHOTO: Reuters via GoogleStudies of other AI cropping systems have shown they generate more errors with darker skin, in part because the data used to train them mostly included lighter examples.
Zoom's chief diversity officer, Damien Hooper-Campbell, told Reuters: "Bias was not at play, but rather a combination of the user's distance from the camera, use of headphones, and seating position."
Madland said the problem subsided after his colleague purchased a green screen and some "snazzy lighting."
For Zoom and its rivals, delivering on inclusion could provide an edge while vying for post-pandemic deals with clients - which are facing their own reckonings on diversity.
Global spending on cloud-based conferencing is forecast to reach $5.41 billion this year, up from $5.02 billion in 2020, according to tech consultancy Gartner. It does not track market share, but analysts cite Zoom and Cisco as the leaders.
'Not equally represented'
The upcoming Google Meet feature tackles the problem of people appearing darker because of their surroundings, for example when sitting in front of a window, said Niklas Blum, a Google product leader involved with Meet.
"Users with dark skin tones are not equally represented, and we want to build products for everyone," he said.
The AI separates users from their background, determines whether they are underexposed regardless of their skin tone, brightens the picture accordingly, and finally merges the background and foreground.
Meet's virtual waiting room will prompt users to activate the lighting adjustment when it detects they could benefit from it, said Stéphane Hulaud, product lead for video quality and processing in Meet.
Read AlsoMicrosoft Mesh could bring mixed reality to your next video conference
Blum and Hulaud said Meet first identified the representation issues in video when launching a low-light enhancement for mobile calls well before the pandemic.
Developing the latest feature took considerable time, but it led Meet to establish product inclusion testing procedures and mandate them for all of its work.
Google is pursuing additional fixes, too. Meet is pitching laptop makers and operating systems on sharing greater control over cameras' white balance and exposure. Internally, Google adopted minimum light reflectiveness requirements for conference room designs.
At Cisco, the new gesture-recognition option, when turned on, lets users hold up their thumb on camera for about a second to generate a virtual thumbs-up on screen.
Cisco trained its AI to focus on the shape outline and movement of the gesture in time and space, reducing potential issues from variance in skin tone, said Keith Griffin, a distinguished engineer at the company.
Praying hands - for "thank you" - are among possible new gesture options to come, with a feature that interprets sign language an eventual goal. Webex also expects to add skin-tone options beyond yellow for the icons.
A handout photo. A screengrab dated June 3, 2021 from Webex video conferencing software shows Keith Griffin, engineer, CTO Collaboration for Cisco, wearing a dark glove and holding up his thumb to demonstrate a gesture recognition feature, launched in January 2021, in this handout photo.
PHOTO: Reuters via CISCOMike Sharp, LogMeIn's chief product officer for unified communications and collaboration, said education clients have driven some of the company's "inclusion" updates.
For instance, forthcoming support for Spanish, Mandarin and other languages in voicemail prompts and transcriptions will benefit an unidentified California school district that wanted to better engage with its community, Sharp said.
Facebook Workplace, a suite of business communication tools, last month said video town hall hosts soon would see name pronunciations for workers posing written questions.
Product head Ujjwal Singh said the pointers, which are AI-generated but editable, aimed to help executives at clients including Nestle SA and Booking Holdings Inc properly address colleagues and promote inclusion.
“I don’t want to mispronounce it to thousands of employees and look like I’m not in touch with the company,” he said.
#Digital
#Race issues
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#video chat
#Google
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Skin in the game: Video chat apps tout 'inclusive' AI features, Digital News
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Skin game: Video chat apps tout inclusive AI features, Digital News AsiaOne Skip main content Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Skin game: Video chat apps tout inclusive AI features Reuters Jun 08, 2021 A handout photo. A photo illustration dated June 2, 2021 shows Googles new light adjustments feature Meet video conferencing tool brightens face user underexposed window background. PHOTO: Reuters Google Video conferencing services years boasted technology intuitive use integrated function tools, vendors Google Cisco hardly blog post trumpeting different attribute: inclusive. The latest buzzword, product development accompanies it, shows tech companies newly focused assuring Black users persons color online chat products leave cold. The changes stem rise Black Lives Matter movement prompted vendors customers alike think needs white, Englishspeaking audience pandemic, created large remote workforce heavily dependent technology. Alphabet sGoogle month plans deploy artificial intelligence AI feature addresses longstanding issue darker skin tones underilluminated video chats. Cisco Systems January launched gesturerecognition feature display thumbsup Webex, taking pains assure skin tones affect performance.\ Read AlsoGoogle Meet wont limit meetings free plans March 31, 2021 LogMeIn GoToMeeting, Microsoft CorpsTeams Facebook Workplace adding translation pronunciation options equity push. Technology fundamentally today inclusive want be, said Jeetu Patel, senior vice president general manager Cisco security collaboration. Setting values principles product stand essential, said. The tech industry long poor record workplace diversity failure recognize ways product design perpetuate discrimination. Worries bias video conferencing picked September Colin Madland, doctoral student University Victoria British Columbia, Canada, tweeted screenshot Black colleague appearing headless deploying virtual background Zoom. A handout photo.A screengrab dated June 2, 2021 shows user Google Meet video appearing underexposed stark contrast light foreground background. PHOTO: Reuters GoogleStudies AI cropping systems shown generate errors darker skin, data train included lighter examples. Zooms chief diversity officer, Damien HooperCampbell, told Reuters: Bias play, combination users distance camera, use headphones, seating position. Madland said problem subsided colleague purchased green screen snazzy lighting. For Zoom rivals, delivering inclusion provide edge vying postpandemic deals clients facing reckonings diversity. Global spending cloudbased conferencing forecast reach 5.41 billion year, 5.02 billion 2020, according tech consultancy Gartner. It track market share, analysts cite Zoom Cisco leaders. Not equally represented The upcoming Google Meet feature tackles problem people appearing darker surroundings, example sitting window, said Niklas Blum, Google product leader involved Meet. Users dark skin tones equally represented, want build products everyone, said. The AI separates users background, determines underexposed regardless skin tone, brightens picture accordingly, finally merges background foreground. Meets virtual waiting room prompt users activate lighting adjustment detects benefit it, said Stphane Hulaud, product lead video quality processing Meet. Read AlsoMicrosoft Mesh bring mixed reality video conference Blum Hulaud said Meet identified representation issues video launching lowlight enhancement mobile calls pandemic. Developing latest feature took considerable time, led Meet establish product inclusion testing procedures mandate work. Google pursuing additional fixes, too. Meet pitching laptop makers operating systems sharing greater control cameras white balance exposure. Internally, Google adopted minimum light reflectiveness requirements conference room designs. At Cisco, new gesturerecognition option, turned on, lets users hold thumb camera second generate virtual thumbsup screen. Cisco trained AI focus shape outline movement gesture time space, reducing potential issues variance skin tone, said Keith Griffin, distinguished engineer company. Praying hands thank possible new gesture options come, feature interprets sign language eventual goal. Webex expects add skintone options yellow icons. A handout photo.A screengrab dated June 3, 2021 Webex video conferencing software shows Keith Griffin, engineer, CTO Collaboration Cisco, wearing dark glove holding thumb demonstrate gesture recognition feature, launched January 2021, handout photo. PHOTO: Reuters CISCOMike Sharp, LogMeIns chief product officer unified communications collaboration, said education clients driven companys inclusion updates. For instance, forthcoming support Spanish, Mandarin languages voicemail prompts transcriptions benefit unidentified California school district wanted better engage community, Sharp said. Facebook Workplace, suite business communication tools, month said video town hall hosts soon pronunciations workers posing written questions. Product head Ujjwal Singh said pointers, AIgenerated editable, aimed help executives clients including Nestle SA Booking Holdings properly address colleagues promote inclusion. I dont want mispronounce thousands employees look like Im touch company, said. Digital Race issues AI video chat Google Your daily good stuff AsiaOne stories delivered straight inbox Name Email By signing up, agree Privacy policy. Submit Advertise With UsPrivacy StatementWork With Us FOLLOW US AsiaOne Online Pte Ltd. Company registration NO.201815023K Personal Data Protection Statement Asiaone
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| 2021-05-20T00:00:00 |
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Twitter finds its AI tends to crop out Black people, men from photos, Digital News - AsiaOne
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Twitter finds its AI tends to crop out Black people, men from photos, Digital News - AsiaOne
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Twitter finds its AI tends to crop out Black people, men from photos
Paresh Dave
Reuters
May 20, 2021
People holding mobile phones are silhouetted against a backdrop projected with the Twitter logo in this illustration picture taken Sept 27, 2013.
PHOTO: Reuters
Twitter Inc's image-cropping algorithm has a problematic bias toward excluding Black people and men, the company said in new research on Wednesday (May 19), adding that "how to crop an image is a decision best made by people."
The study by three of its machine learning researchers was conducted after user criticism last year about image previews in posts excluding Black people's faces.
It found an eight per cent difference from demographic parity in favor of women, and a four per cent favor toward white individuals.
The paper cited several possible reasons, including issues with image backgrounds and eye color, but said none were an excuse.
"Machine learning based cropping is fundamentally flawed because it removes user agency and restricts user's expression of their own identity and values, instead imposing a normative gaze about which part of the image is considered the most interesting," the researchers wrote.
To counter the problem, Twitter recently started showing standard aspect ratio photos in full - without any crop - on its mobile apps and is trying to expand that effort.
Read AlsoTwitter hears from record respondents over world leader rules
The researchers also assessed whether crops favored women's bodies over heads, reflecting what is known as the "male gaze," but found that does not appear to be the case.
The findings are another example of the disparate impact from artificial intelligence systems including demographic biases identified in facial recognition and text analysis, the paper said.
Work by researchers at Microsoft Corp and the Massachusetts Institute of Technology in 2018 and a later US government study found that facial analysis systems misidentify people of color more often than white people.
Amazon Inc in 2018 scrapped an artificial intelligence (AI) recruiting tool that showed bias against women.
#Twitter
#Race issues
#Gender issues
#Artificial Intelligence
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Twitter finds AI tends crop Black people, men photos, Digital News AsiaOne Skip main content Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Latest News Singapore Malaysia China Asia World Entertainment Lifestyle Digital Culture Services Horoscope Currency Converter Chinese Zodiac More Money Business Broadcast Food Health Travel Homeworks Twitter finds AI tends crop Black people, men photos Paresh Dave Reuters May 20, 2021 People holding mobile phones silhouetted backdrop projected Twitter logo illustration picture taken Sept 27, 2013. PHOTO: Reuters Twitter simagecropping algorithm problematic bias excluding Black people men, company said new research Wednesday May 19, adding crop image decision best people. The study machine learning researchers conducted user criticism year image previews posts excluding Black peoples faces. It eightper cent difference demographic parity favor women, fourper cent favor white individuals. The paper cited possible reasons, including issues image backgrounds eye color, said excuse. Machine learning based cropping fundamentally flawed removes user agency restricts users expression identity values, instead imposing normative gaze image considered interesting, researchers wrote. To counter problem, Twitter recently started showing standard aspect ratio photos crop mobile apps trying expand effort. Read AlsoTwitter hears record respondents world leader rules The researchers assessed crops favored womens bodies heads, reflecting known male gaze, appear case. The findings example disparate impact artificial intelligence systems including demographic biases identified facial recognition text analysis, paper said. Work researchers Microsoft Corp Massachusetts Institute Technology 2018 later USgovernment study facial analysis systems misidentify people color white people. Amazon 2018 scrapped artificial intelligence AI recruiting tool showed bias women. Twitter Race issues Gender issues Artificial Intelligence Your daily good stuff AsiaOne stories delivered straight inbox Name Email By signing up, agree Privacy policy. Submit Advertise With UsPrivacy StatementWork With Us FOLLOW US AsiaOne Online Pte Ltd. Company registration NO.201815023K Personal Data Protection Statement Asiaone
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https://www.augustman.com/hk/gear/tech/chatgpt-alternatives-to-try/
| 2023-01-28T00:00:00 |
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ChatGPT Alternatives You Can Try Right Now
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ChatGPT Alternatives You Can Try Right Now
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Home > Gear > Tech > Bored Of ChatGPT? Try These Alternatives Instead
Gear
Bored Of ChatGPT? Try These Alternatives Instead
By: Manas Sen Gupta,
Jan 28 2023 3:00 pm
The OpenAI chatbot ChatGPT has brought in a revolution of sorts in the world of technology. There is of course the looming threat on jobs, especially those of writers and artists, but there are also concerns over the manner in which artificial intelligence (AI) is getting integrated with the daily lives of people. Despite this, there has been a marked interest in ChatGPT alternatives.
Interestingly, some of these are way better than OpenAI’s chatbot.
AI chatbots such as ChatGPT and its alternatives are neural language models based on the Transformer architecture. Simply put, such chatbots can process queries fed to them and respond in a far more structured, coherent and complete manner than ordinary chatbots. As such these AI tools can hold conversations with the user and can write code or create art among other tasks according to user input.
A poll by the publication Fishbowl indicates that around 30 per cent of professional workers have tried ChatGPT at work. Since it is free to use, more and more people are possibly flocking to the AI chatbot to help with their writing tasks or simply to ‘test’ it with intriguing, or even silly, questions and share their interactions on social media platforms.
What is ChatGPT?
ChatGPT is one of the most famous chatbots. Developed by OpenAI, which counts Elon Musk as one of its co-founders, the large language model is an advanced AI that can interact with human users in a conversational style.
It learns from interactions and processes information based on its learnings. Additionally, ChatGPT is trained on Generative Pre-Trained Transformer architecture — the neural network that lends the ‘GPT’ to its name.
Introduced in a 2017 paper titled Attention Is All You Need, the GPT is the core behind some of the highly advanced chatbots that are coming up with increasing frequency.
ChatGPT features and uses
ChatGPT is based on GPT-3.5, which is more advanced than its predecessor GPT-3. This is why ChatGPT is able to perform a very wide range of functions. Its popularity has also led Microsoft to include the chatbot in Bing.
It can do anything from writing code to fixing errors in it. Other than holding text-based conversations with human users almost like normal humans, it can recall earlier comments from the conversations in future interactions too. ChatGPT can also write poems or frame an essay on any topic the user wants.
But the system has its limitations. In fact, OpenAI CEO and co-founder Sam Altman underlined this in a tweet in December 2022.
“ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness. it’s a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness,” he wrote.
ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness.
it’s a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness.
— Sam Altman (@sama) December 11, 2022
Even though many other AI chatbots have been around since before the November 2022 launch of ChatGPT, it is the latter — and perhaps OpenAI’s connection to Elon Musk — that has led to a surge in the popularity of chatbots that can carry an intelligent conversation that is nothing like talking to an English language speech assistant.
These alternatives to ChatGPT are not only helping in the popularity of chatbots but also increasing the reach and usability of the models. As more users join in, some of these AI chatbots may continue to learn and expand their knowledge. As such, their responses may become more refined and their ability to handle a wider range of tasks may grow.
ChatGPT alternatives redefining the AI chatbot space
Chatsonic
Chatsonic feature showing AI art via the chatbot. (Image credit: Writesonic/@WriteSonic/Twitter)
Widely hailed as one of the best alternatives of ChatGPT, Chatsonic is built on the GPT-3.5 architecture. But the crucial difference between ChatGPT and Chatsonic is that the latter can access the internet.
This difference makes Chatsonic “Like ChatGPT but with Superpowers” — as its maker, Writesonic, one of the world’s best AI writing tools, describes it on its official website.
To put it simply, the advanced AI chatbot Chatsonic can give far more concrete answers to queries than ChatGPT. This is because its algorithm can browse the internet to gather the information that would be needed for a more comprehensive output.
Chatsonic is constantly integrated with Google search, which means that it is always up-to-date with information. ChatGPT, on the other hand, has limited information on events after September 2021, because the GPT-3 has been trained on data till only that period.
Moreover, Chatsonic comes with a feature called ‘Persona.’ It allows users to tailor their experience according to their needs by seemingly interacting with 16 unique AI characters including, Maths professor, interviewer, dentist and poet.
While ChatGPT is purely text-based, Chatsonic can ‘talk’ to the user like Siri and Google Assistant. It can also understand voice commands. It can also generate AI images using integrated tools, stable diffusion and DALL-E.
Chatsonic is free only up to 25 generations per day. Anything more would require users to sign-up for a premium long-form plan on Writesonic.
Character.AI
A screenshot showing the many avatars available at Character.AI. (Image credit: Character.AI)
Character.AI is a unique ChatGPT alternative which is completely persona-driven. This means that users actually ‘speak’ to the chatbot and, in return, receive voice-based answers instead of text.
The chatbot is trained on neural language models and follows a conversational style with the users. Since voice is central to the chatbot, its personas are also very unique. It can respond in the voices of many fictional and real-life personalities, even historical people.
Users can ‘interact’ with Elon Musk, US President Joe Biden, Marvel Cinematic Universe’s Tony Stark and even ancient Greek philosopher Aristotle among others. The character of the AI also changes with the chosen persona. For instance, if the AI persona is Socrates, the answers would be more philosophical and calm.
Users can also create a sharable AI character of their own and define how they would sound, greet and appear using the in-built image generator.
The chatbot is free to use, but creating a user account allows the chat to continue without interruptions.
Perplexity AI
A screenshot showing a query responded to by Perplexity AI along with sources and related links. (Image credit: Perplexity AI)
Perplexity AI is a great alternative for those looking for completely free AI platforms. There is no need to even create an account to use this chatbot.
Another area where Perplexity AI perhaps scores above the rest is in its simplicity; it has a minimalist interface, which makes it relatively easier for user interaction.
Trained on OpenAI’s API, the chatbot cites sources from where it draws the information that the user seeks. Though reviewers say that the chatbot appears to be avoiding plagiarism, its sources include Wikipedia — whose own authenticity has often been questionable due to the fact that anyone can edit articles on the platform.
Perplexity AI is completely text-based and has no persona feature, which means that there is no voice-based interaction. There is no multi-turn response rendering it unable to recollect previous responses. Its responses are, however, carefully constructed and sophisticated, quite like that of ChatGPT.
Gear
What To Expect From ChatGPT’s Pro Version
By Sushmita Mahanta, Jan 26
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What We Know About Elon Musk’s OpenAI, The Maker Of ChatGPT
By Trinetra Paul, Dec 28
Jasper Chat
Jasper AI shares content ideas as requested in a query. (Image credit: Jasper/@heyjasperai/Twitter)
Jasper Chat is a chatbot by AI content generation company Jasper. Though a new chatbot, it has quickly become one of the best ChatGPT alternatives in the tech space.
Like ChatGPT, Jasper Chat is also based on the GPT 3.5 platform and counts OpenAI as its partner. The company says that the chatbot has been trained in 29 languages and learned information available till mid-2021.
Jasper Chat cannot produce the most recent information like Chatsonic. But it can include Google search data if that option is selected. It is noteworthy that the chatbot is designed specifically for those in the business of marketing, advertising and the like, and not for just about anyone.
The chatbot is normally free for use, but the full set of features is unlocked for subscribers of Jasper’s Boss Mode or Business plan. The Business plan of the AI writing tool is meant for over five users as part of a team and is customisable.
Chinchilla
A chart showing DeepMind’s Chinchilla language model as against other language models. (Image credit: Alexander Leirvåg/@Claybight/Twitter)
Chinchilla is a DeepMind project. Its 70 billion (70B) parameter count makes it more efficient than ChatGPT, whose parameter count is between 10B and 52B.
It gives answers in just a few seconds. As such it is faster than most other AI chatbots and, despite having a much lower parameter count than Gopher (280B), has four times more data than the latter.
Research indicates that it surpasses other major AI language models such as GPT-3, Jurassic-1 and others when it comes to performing downstream tasks. As a language model, it is three times the size of GPT-3.
Chinchilla is better for those users who like a language model for reasoning capabilities, AI art, writing and search. Its pricing structure is not known. Users who intend to try Chinchilla need to contact DeepMind.
LaMDA
A visual illustration of the LaMDA chatbot.(Image credit: Google)
Developed by Google, Language Model for Dialogue Applications (LaMDA) made headlines around the world in June 2022 after an engineer working on the AI chatbot claimed that it had gained sentience.
LaMDA is unlike other ChatGPT alternatives. It is a model that has revolutionised Natural Language Processing (NLP). It interacts through natural language input and responds in a highly contextual manner, which is both sophisticated and logical.
It can also answer follow-up questions, holding a conversation with the user that can be very structured. LaMDA has a parameter count of 137B.
(Main image credit: Andy Kelly/@askkell/Unsplash; Featured image credit: Christopher Gower/@cgower/Unsplash)
Frequently Asked Questions (FAQs)
Question: Is ChatGPT free?
Answer: Yes, ChatGPT is free. But ChatGPT Pro, a version that is reportedly being tested, has a charge for use.
Question: Who is the creator of ChatGPT?
Answer: OpenAI is the creator of ChatGPT.
Question: How does ChatGPT work?
Answer: ChatGPT is based on the original GPT-3 model but is more advanced. It can respond to queries by users in a highly descriptive style based on the information it has been trained on.
Question: How is ChatGPT different from other AI platforms?
Answer: Some other AI platforms can connect with the Internet for the most up-to-date information available. However, ChatGPT cannot do so.
Question: Can ChatGPT be alternative to Google?
Answer: ChatGPT cannot be an alternative to Google as it is limited to information available till September 2021. But future language-based models might do so.
AI
artificial intelligence
Chatbot
ChatGPT
written by.
Manas Sen Gupta
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ChatGPT Alternatives You Can Try Right Now
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ChatGPT Alternatives You Can Try Right Now HK SG MY IN TH Style Fashion Grooming Watches Culture Art Design Events Film TV Living Music Gear Motoring Tech Food Drink Dining Drinks Travel Hotels Resorts Travel Guides Wellness Fitness Health AM Select AListers August Mentors Hit List Emagazine Style Fashion Grooming Watches Culture Art Design Events Film TV Living Music Gear Motoring Tech Food Drink Dining Drinks Travel Hotels Resorts Travel Guides Wellness Fitness Health AM Select EMagazine Home > Gear > Tech > Bored Of ChatGPT? Try These Alternatives Instead Gear Bored Of ChatGPT? Try These Alternatives Instead By: Manas Sen Gupta, Jan 28 2023 3:00 pm The OpenAI chatbot ChatGPT brought revolution sorts world technology. There course looming threat jobs, especially writers artists, concerns manner artificial intelligence AI getting integrated daily lives people. Despite this, marked ChatGPT alternatives. Interestingly, way better OpenAIs chatbot. AI chatbots ChatGPT alternatives neural language models based Transformer architecture. Simply put, chatbots process queries fed respond far structured, coherent complete manner ordinary chatbots. As AI tools hold conversations user write code create art tasks according user input. A poll publication Fishbowl indicates 30 cent professional workers tried ChatGPT work. Since free use, people possibly flocking AI chatbot help writing tasks simply test intriguing, silly, questions share interactions social media platforms. What ChatGPT? ChatGPT famous chatbots. Developed OpenAI, counts Elon Musk cofounders, large language model advanced AI interact human users conversational style. It learns interactions processes information based learnings. Additionally, ChatGPT trained Generative PreTrained Transformer architecture neural network lends GPT name. Introduced 2017 paper titled Attention Is All You Need, GPT core highly advanced chatbots coming increasing frequency. ChatGPT features uses ChatGPT based GPT3.5, advanced predecessor GPT3. This ChatGPT able perform wide range functions. Its popularity led Microsoft include chatbot Bing. It writing code fixing errors it. Other holding textbased conversations human users like normal humans, recall earlier comments conversations future interactions too. ChatGPT write poems frame essay topic user wants. But limitations. In fact, OpenAI CEO cofounder Sam Altman underlined tweet December 2022. ChatGPT incredibly limited, good things create misleading impression greatness. mistake relying important right now. preview progress; lots work robustness truthfulness, wrote. ChatGPT incredibly limited, good things create misleading impression greatness. mistake relying important right now. preview progress; lots work robustness truthfulness. Sam Altman December 11, 2022 Even AI chatbots November 2022 launch ChatGPT, OpenAIs connection Elon Musk led surge popularity chatbots carry intelligent conversation like talking English language speech assistant. These alternatives ChatGPT helping popularity chatbots increasing reach usability models. As users join in, AI chatbots continue learn expand knowledge. As such, responses refined ability handle wider range tasks grow. ChatGPT alternatives redefining AI chatbot space Chatsonic Chatsonic feature showing AI art chatbot. Image credit: Writesonic Widely hailed best alternatives ChatGPT, Chatsonic built GPT3.5 architecture. But crucial difference ChatGPT Chatsonic access internet. This difference makes Chatsonic Like ChatGPT Superpowers maker, Writesonic, worlds best AI writing tools, describes official website. To simply, advanced AI chatbot Chatsonic far concrete answers queries ChatGPT. This algorithm browse internet gather information needed comprehensive output. Chatsonic constantly integrated Google search, means uptodate information. ChatGPT, hand, limited information events September 2021, GPT3 trained data till period. Moreover, Chatsonic comes feature called Persona. It allows users tailor experience according needs seemingly interacting 16 unique AI characters including, Maths professor, interviewer, dentist poet. While ChatGPT purely textbased, Chatsonic talk user like Siri Google Assistant. It understand voice commands. It generate AI images integrated tools, stable diffusion DALLE. Chatsonic free 25 generations day. Anything require users signup premium longform plan Writesonic. Character.AI A screenshot showing avatars available Character.AI. Image credit: Character.AI Character.AI unique ChatGPT alternative completely personadriven. This means users actually speak chatbot and, return, receive voicebased answers instead text. The chatbot trained neural language models follows conversational style users. Since voice central chatbot, personas unique. It respond voices fictional reallife personalities, historical people. Users interact Elon Musk, US President Joe Biden, Marvel Cinematic Universes Tony Stark ancient Greek philosopher Aristotle others. The character AI changes chosen persona. For instance, AI persona Socrates, answers philosophical calm. Users create sharable AI character define sound, greet appear inbuilt image generator. The chatbot free use, creating user account allows chat continue interruptions. Perplexity AI A screenshot showing query responded Perplexity AI sources related links. Image credit: Perplexity AI Perplexity AI great alternative looking completely free AI platforms. There need create account use chatbot. Another area Perplexity AI scores rest simplicity; minimalist interface, makes relatively easier user interaction. Trained OpenAIs API, chatbot cites sources draws information user seeks. Though reviewers chatbot appears avoiding plagiarism, sources include Wikipedia authenticity questionable fact edit articles platform. Perplexity AI completely textbased persona feature, means voicebased interaction. There multiturn response rendering unable recollect previous responses. Its responses are, however, carefully constructed sophisticated, like ChatGPT. Gear What To Expect From ChatGPTs Pro Version By Sushmita Mahanta, Jan 26 Gear What We Know About Elon Musks OpenAI, The Maker Of ChatGPT By Trinetra Paul, Dec 28 Jasper Chat Jasper AI shares content ideas requested query. Image credit: Jasper Jasper Chat chatbot AI content generation company Jasper. Though new chatbot, quickly best ChatGPT alternatives tech space. Like ChatGPT, Jasper Chat based GPT 3.5 platform counts OpenAI partner. The company says chatbot trained 29 languages learned information available till mid2021. Jasper Chat produce recent information like Chatsonic. But include Google search data option selected. It noteworthy chatbot designed specifically business marketing, advertising like, anyone. The chatbot normally free use, set features unlocked subscribers Jaspers Boss Mode Business plan. The Business plan AI writing tool meant users team customisable. Chinchilla A chart showing DeepMinds Chinchilla language model language models. Image credit: Alexander Leirvg Chinchilla DeepMind project. Its 70 billion 70B parameter count makes efficient ChatGPT, parameter count 10B 52B. It gives answers seconds. As faster AI chatbots and, despite lower parameter count Gopher 280B, times data latter. Research indicates surpasses major AI language models GPT3, Jurassic1 comes performing downstream tasks. As language model, times size GPT3. Chinchilla better users like language model reasoning capabilities, AI art, writing search. Its pricing structure known. Users intend try Chinchilla need contact DeepMind. LaMDA A visual illustration LaMDA chatbot.Image credit: Google Developed Google, Language Model Dialogue Applications LaMDA headlines world June 2022 engineer working AI chatbot claimed gained sentience. LaMDA unlike ChatGPT alternatives. It model revolutionised Natural Language Processing NLP. It interacts natural language input responds highly contextual manner, sophisticated logical. It answer followup questions, holding conversation user structured. LaMDA parameter count 137B. Main image credit: Andy Kelly Featured image credit: Christopher Gower Frequently Asked Questions FAQs Question: Is ChatGPT free? Answer: Yes, ChatGPT free. But ChatGPT Pro, version reportedly tested, charge use. Question: Who creator ChatGPT? Answer: OpenAI creator ChatGPT. Question: How ChatGPT work? Answer: ChatGPT based original GPT3 model advanced. It respond queries users highly descriptive style based information trained on. Question: How ChatGPT different AI platforms? Answer: Some AI platforms connect Internet uptodate information available. However, ChatGPT so. Question: Can ChatGPT alternative Google? Answer: ChatGPT alternative Google limited information available till September 2021. But future languagebased models so. AI artificial intelligence Chatbot ChatGPT written by. Manas Sen Gupta Manas enjoys reading detective fiction writing interests him. When two, checks Instagram latest posts travellers. Winter favourite season happily eat bowl noodles time day. Content Hub fine watches Best Series korean dramas You May Also Like. Gear Bondee: Why You Should Install The AvatarBased Social App By Metadream By Derrick Tan, Jan 27 2023 Gear What To Expect From ChatGPTs Pro Version By Sushmita Mahanta, Jan 26 2023 Gear Apple iOS 16.3: Looking At The Exciting New Features Of The Latest Software Update By Sushmita Mahanta, Jan 25 2023 Gear Apple Launches Exciting New Models Of The MacBook Pro And Mac Mini By Trinetra Paul, Jan 19 2023 Follow AugustMan newsletter. Never miss latest mens fashion lifestyle again. Yes, I agree Now Singapore Malaysia India Thailand Hong Kong Advertise About Privacy Terms Conditions 2023 Augustman site Burdaluxury Our brands BurdaLuxury Lifestyle Asia Prestige Augment MVMT Adore Submit
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https://www.autoevolution.com/news/does-ai-writing-in-gaming-finally-mean-we-ll-get-good-stories-in-racing-games-212383.html
| 2023-03-25T00:00:00 |
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Does AI Writing in Gaming Finally Mean We'll Get Good Stories in Racing Games? - autoevolution
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Does AI Writing in Gaming Finally Mean We'll Get Good Stories in Racing Games? - autoevolution
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More on this:1 These Latest and Greatest Tips & Tricks for NFS Unbound Will Help You Earn Serios Cash2 Here's the First Ever Glittery Rivian R1T, Only Exists in an Unreal Engine Jungle3 A Brand New LEGO Racing Game Might Lie Just Beyond the Horizon4 How To Play EA's Need for Speed Unbound for Cheap5 Tips and Tricks For How to “Git Gud” at Need For Speed Unbound
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Does AI Writing in Gaming Finally Mean We'll Get Good Stories in Racing Games?
Home > News > Editorial
25 Mar 2023, 20:16 UTC • By:
Codrin Spiridon
It's no classified governmental secret that racing games aren't what you would call heartwrenching when it comes to scripts and dialogue. Sometimes, lines between NPCs (non-playable characters) and your character range from borderline awful to extremely cringy. Technically-inclined experiences like F1 22 and Gran Turismo 7, which don't rest on the shoulders of storytelling, are somewhat safe from these tropes, but others like NFS Unbound sometimes have the most awkward lines, just to show the younger audience they're still 'cool.'
13 photosPhoto: Unreal Engine
I wasn't singling out NFS Unbound or anything like that; it just came to mind because I haven't played a lot of driving games with a heavy focus on story in recent years, and the Unbound simply popped up first.
To be completely honest, maybe the lines I deem worthy as 'cringy' in NFS are nothing else but the side effect of me getting too old and cranky to stay up to date with Gen Z slang and whatnot. And just like any working man that pays his own bills, I can't be bothered with learning every newborn term from social media.
So back in November, when I was trying Unbound for the first time and heard my young in-game sidekick incessantly crack wise jokes at Rydell, an older character, I think I rolled my eyes so hard my neighbors could hear casino slot machine sounds coming from my living room.
And not because Rydell's 'I'm too old for this' attitude hit close to home (even though it did), but the dialogue seemed too forced, most probably to score some points with the 'Snapchatting' younglings.
Photo: Rivian
I'm not throwing jabs at the writers in any shape or form because, at the end of the day, they are merely employees taking orders from the 'suits upstairs.' All I'm trying to ask is if snappy adolescent one-liners meant to target a younger audience is all we're ever gonna get?
Or can we move beyond focus-tested script writing and come up with an awesome story for once to prove that racing games aren't just about pressing the gas pedal and that they can become something much more?
It's not like the gaming industry is lacking in narrative talent, but it seems like there's this status quo of simply getting by with a festival-based storyline like in Forza Horizon or in the upcoming Motorfest from The Crew franchise.
It might just be a pipe dream at the end of the day, locked tightly between the inner lining of my skull, but because I'm passionate about story-driven games like Uncharted, The Last of Us, God of War, and so on, I would love to see a racing game with a story so memorable, that people won't know what hit them.
Photo: Rivian
Not to sound like a pedantic 'crazy cat lady,' but whether or not Henry Ford actually uttered the words "If I'd ask customers what they wanted, they would've told me a faster horse," it doesn't make them any less plausible. So why not apply this philosophy to racing games as well, especially now that they're getting turned into movies, just like Gran Turismo will be hitting theaters this summer?
Now back to what started my one-way rant, Ubisoft's 'Ghostwriter' AI software that, in layman's terms, isn't meant to replace actual people but was created as a tool to help write NPC 'barks,' or pointless chatter.
You know how in GTA, if you stand next to characters on the street, you'll hear them utter conversations among themselves or on the phone? Well, every dialogue line is painstakingly written by dozens of people, and when you have miles-worth of text inside a game like Assassin's Creed Valhalla, the time and effort to come up with every single word keep piling up, which in turn increases the overall production time.
From what Ubi's saying about their in-house AI tool from their R&D department, La Forge Montreal, everything sounds peachy-keen. Ghostwriter could take care of the grunt work and create these NPC 'barks,' so less pressure will be put on the writers' shoulders.
Photo: Rivian
In turn, they could focus more on creating a truly engaging main story or even side ones instead of having to churn out tomes of non-essential chatter like police radio communications, for example.
Grid Legends is a good example of a narrative-driven campaign, even though it fell a bit short for my taste, focusing on trivial things like beating the 'bad guy' in competitions just because it's what the 'good guy' does.
Now, if you were to pair a newly-found narrative focus with the latest and greatest Unreal 5 graphics revealed recently, then it might just make racing movies obsolete because why would you simply watch something that looks that good when you could pick up a controller and actually play it?
Whether this genre 'savior' will see the light of day anytime soon, who's to tell? But hope springs eternal, even though sometimes it's nothing more than "just a fool's hope," like Gandalf the White once uttered.
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Editor's note:
Gallery shows Unreal Engine 5 images of the Rivian R1T.
Ubisoft ghostwriter ai NFS Unbound unreal engine rivian unreal engine 5 GTA 6
About the author: Codrin Spiridon
Codrin just loves American classics, from the 1940s and ‘50s, all the way to the muscle cars of the '60s and '70s. In his perfect world, we'll still see Hudsons and Road Runners roaming the streets for years to come (even in EV form, if that's what it takes to keep the aesthetic alive).
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Does AI Writing in Gaming Finally Mean We'll Get Good Stories in Racing Games?
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Does AI Writing Gaming Finally Mean Well Get Good Stories Racing Games? autoevolution autoevolution Driven Reviewed CarsMoto Cars Database Moto Database News Game reviews Spyshots Space Junk Green Renderings Newspaper Compare Cars BAC Calculator Editorial Coverstory Motorsport Testdrives archive Auto Shows Tuning Car Finder Photo Day Glossary automotive terms Masthead RSS Feeds More this:1 These Latest Greatest Tips Tricks NFS Unbound Will Help You Earn Serios Cash2 Heres First Ever Glittery Rivian R1T, Only Exists Unreal Engine Jungle3 A Brand New LEGO Racing Game Might Lie Just Beyond Horizon4 How To Play EAs Need Speed Unbound Cheap5 Tips Tricks For How Git Gud Need For Speed Unbound Coverstory Did Anyone Say FunHaving OffRoader? Well, This 1969 LSPowered Blazer Is Just That Does AI Writing Gaming Finally Mean Well Get Good Stories Racing Games? Home > News > Editorial 25 Mar 2023, 20:16 UTC By: Codrin Spiridon Its classified governmental secret racing games arent heartwrenching comes scripts dialogue. Sometimes, lines NPCs nonplayable characters character range borderline awful extremely cringy. Technicallyinclined experiences like F1 22 Gran Turismo 7, dont rest shoulders storytelling, somewhat safe tropes, like NFS Unbound awkward lines, younger audience theyre cool. 13 photosPhoto: Unreal Engine I wasnt singling NFS Unbound like that; came mind I havent played lot driving games heavy focus story recent years, Unbound simply popped first. To completely honest, maybe lines I deem worthy cringy NFS effect getting old cranky stay date Gen Z slang whatnot. And like working man pays bills, I bothered learning newborn term social media. So November, I trying Unbound time heard young ingame sidekick incessantly crack wise jokes Rydell, older character, I think I rolled eyes hard neighbors hear casino slot machine sounds coming living room. And Rydells Im old attitude hit close home did, dialogue forced, probably score points Snapchatting younglings. Photo: Rivian Im throwing jabs writers shape form because, end day, merely employees taking orders suits upstairs. All Im trying ask snappy adolescent oneliners meant target younger audience gonna get? Or focustested script writing come awesome story prove racing games arent pressing gas pedal more? Its like gaming industry lacking narrative talent, like theres status quo simply getting festivalbased storyline like Forza Horizon upcoming Motorfest The Crew franchise. It pipe dream end day, locked tightly inner lining skull, Im passionate storydriven games like Uncharted, The Last Us, God War, on, I love racing game story memorable, people wont know hit them. Photo: Rivian Not sound like pedantic crazy cat lady, Henry Ford actually uttered words If Id ask customers wanted, wouldve told faster horse, doesnt plausible. So apply philosophy racing games well, especially theyre getting turned movies, like Gran Turismo hitting theaters summer? Now started oneway rant, Ubisofts Ghostwriter AI software that, laymans terms, isnt meant replace actual people created tool help write NPC barks, pointless chatter. You know GTA, stand characters street, youll hear utter conversations phone? Well, dialogue line painstakingly written dozens people, milesworth text inside game like Assassins Creed Valhalla, time effort come single word piling up, turn increases overall production time. From Ubis saying inhouse AI tool RD department, La Forge Montreal, sounds peachykeen. Ghostwriter care grunt work create NPC barks, pressure writers shoulders. Photo: Rivian In turn, focus creating truly engaging main story ones instead churn tomes nonessential chatter like police radio communications, example. Grid Legends good example narrativedriven campaign, fell bit short taste, focusing trivial things like beating bad guy competitions good guy does. Now, pair newlyfound narrative focus latest greatest Unreal 5 graphics revealed recently, racing movies obsolete simply watch looks good pick controller actually play it? Whether genre savior light day anytime soon, whos tell? But hope springs eternal, thanjust fools hope, like Gandalf White uttered. If liked article, follow us: Google News Youtube Instagram Editors note: Gallery shows Unreal Engine 5 images theRivian R1T. Ubisoft ghostwriter ai NFS Unbound unreal engine rivian unreal engine 5 GTA 6 About author: Codrin Spiridon Codrin loves American classics, 1940s 50s, way muscle cars 60s 70s. In perfect world, Hudsons Road Runners roaming streets years come EV form, thats takes aesthetic alive. Full profile Click load comments storyThis enables Disqus, . process data. More Editorials:WRCs 35Year Absence From U.S. How It Could Be SolvedICE Ban: Synthetic Fuels Combustion Engines Should Not Have Use You ExpectWhats Next 2023: Electric Passenger Cars, Trucks, SUVsA 27k, 223HP VW EV Is Just Fine, 612HP Roma Spider Is Great, But Pagani...The Logic Behind Mobile Charging Systems Logistics Better Than Fossil Fuel InfrastructureSee editorials Would like AUTOEVOLUTION send notifications? You receive stories yes autoevolution Team California residents: Do Not Sell My Info More Info Cars Moto News Reviews Editorials Coverstory Howto Glossary Car finder BAC 20082023 SoftNews Net SRL Policy Terms Use . autoevolution autoevolution logo registered trademarks.
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https://www.axios.com/2023/09/08/ai-language-gap-chatgpt
| 2023-09-08T00:00:00 |
en
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The English-first bias of ChatGPT and similar AI services is a growing problem
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The English-first bias of ChatGPT and similar AI services is a growing problemSkip to main contentAxios HomepageSectionsLocal newsAxios ProAbout AxiosSign upLog In20 mins ago - TechnologyAI's language gapAlison Snyder, author of Axios ScienceShare on facebook (opens in new window)Share on twitter (opens in new window)Share on linkedin (opens in new window)Share on email (opens in new window)Illustration: Natalie Peeples/AxiosAI's first language is English — a bias that researchers are racing to counter before it gets permanently baked into the new technology. Why it matters: Most of today's generative AI tools are built on large language models (LLM) trained on texts and data in English and Chinese, leaving the 6 billion native speakers of the world's more than 7,000 other languages at risk of being left out as the technology reframes work, business, education, art and more."The languages that these models serve are going to be defaulted to as the easiest way to generate new information," says Sara Hooker, who leads Cohere for AI, Cohere's nonprofit AI research lab."And it's going to become much easier for that information to be amplified than it is for languages that these models don't serve."How it works: Most of the data used to train the foundational models fueling the current wave of AI — for example, OpenAI's GPT models and Meta's Llama versions — is in English, and the AI tools they support perform best when asked questions in it.GPT-4, the latest LLM from OpenAI, excels at English, Spanish, Italian, Indonesian and other Latin alphabet-based languages, but it struggles with Thai, Punjabi and other languages based on different alphabets. Baidu's Ernie Bot is best with Chinese, which it was trained on.When it released its updated LLM model in July, Meta cautioned that because most of the training data for the model is in English, it "may not be suitable for use in other languages." ChatGPT can translate prompts and responses into English well, but it often fumbles translating English into other languages. Languages such as French and Chinese, which are known as "high resource" languages and are well-represented in training data, are translated into English far better than Javanese and other "low resource" languages.ChatGPT can also make up words, struggle with syntax and generate gibberish in many underrepresented languages, Andrew Deck writes for Rest of World, which tested the abilities of the free version of the chatbot released late last year. A newer version shows slight improvement with some languages for simple prompts but continues to struggle with more complicated requests, Deck notes. What's happening: Some developers are trying to overcome these linguistic shortcomings by focusing on building multilingual large language models, while others are putting their efforts into tuning models to a particular language.The Aya Project at Cohere is an open science project to build an AI model tuned with instructions in 100 languages (rather than focusing on a foundational model trained on unstructured text). Aya, which plans to release its model early next year, follows other open-source models, including BLOOM, which can generate text in 46 languages. Inception, a UAE-based company, last week released Jais, a bilingual Arabic-English LLM. The Masakhane Foundation is working on AI systems that capture African languages.Clibrain — a startup based in Madrid — in July released LINCE Zero, an LLM tuned to Spanish. “Spanish is not one Spanish,” the company's CEO, Elena González-Blanco, tells Axios.Clibrain is focused on capturing the nuances of the language, which has numerous dialects and variations spoken in 20 countries around the world. Current demand for a Spanish language model is coming from the legal and communications sectors, González-Blanco says. The Barcelona Supercomputing Center has also released a Spanish LLM.Yes, but: Building a model for every language isn't realistic, says Mona Diab, director of the Language Technologies Institute at Carnegie Mellon University. She's a proponent of multilingual models and sees promise in using them to capture families of languages. For example, a model trained on Arabic from Tunisia, Egypt and Saudi Arabia, but not from Qatar, may still be able to respond to a prompt in Qatari Arabic dialect. "You can can make up for the lack of pre-training data by knowing something about the language family," she says.The big picture: AI's language bias reflects a broader lack of cultural awareness in AI systems.For the languages that are included in training data, internet penetration tends to be in the upper echelons of these societies and not a reflection of the entire culture, Diab says.The data has to be deliberately curated, taking into account the histories, politics and media landscapes of cultures, she adds.Zoom in: Diab and her collaborators are currently comparing the views output from different language models — those trained in English but that can translate multilingual models and language-specific ones — to responses from multiple global surveys conducted on the ground in the Arab world. "We're finding that the multilingual models are best," she says, but it depends on the question. When it comes to politics, "most people feel more free to express themselves in English rather than Arabic," and models with English training perform better than a predominantly Arabic model. More social-oriented questions lean more toward those language-tuned systems. The big question: Whose value systems and worldviews are imposed on these AI models as people try to flag potentially harmful speech?"We hold everybody up to a certain yardstick, which is very Western-oriented, and maybe some of these things don't necessarily hold in different cultures in different settings," Diab says. "Barring human rights issues, are we being cognizant of what is of value to this community or that community and how that manifests itself in the way a language model responds to a certain query?"What to watch: Researchers working on the Aya Project are now red-teaming eight of the languages in the model for safety, biases and other risks.Native speakers are annotating the responses for toxicity, unsafe use, the prompting of bad financial advice, and other issues."All the red-teaming to date for these major model launches has been done primarily in English," Hooker says, adding that how to assess safety is an open research question."We report risk in just one language, but we're deploying technology all over the world."Go deeper: Social scientists look to AI models to study human behavior (Axios)Share on facebook (opens in new window)Share on twitter (opens in new window)Share on linkedin (opens in new window)Share on email (opens in new window)Go deeperNews worthy of your time.Download the appAboutAbout AxiosAdvertise with usCareersEventsAxios on HBOAxios HQPrivacy and termsOnline tracking choicesYour Privacy ChoicesContact usSubscribeAxios newslettersAxios ProAxios appAxios podcastsCoursesEarn Axios rewardsAxios Homepage
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The English-first bias of ChatGPT and similar AI services is a growing problem
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The Englishfirst bias ChatGPT similar AI services growing problemSkip main contentAxios HomeSectionsLocal newsAxios ProAbout AxiosSign upLog In20 mins ago TechnologyAIs language gapAlison Snyder, author Axios ScienceShare facebook opens new windowShare twitter opens new windowShare linkedin opens new windowShare email opens new windowIllustration: Natalie PeeplesAxiosAIs language English bias researchers racing counter gets permanently baked new technology. Why matters: Most todays generative AI tools built large language models LLM trained texts data English Chinese, leaving 6 billion native speakers worlds 7,000 languages risk left technology reframes work, business, education, art more.The languages models serve going defaulted easiest way generate new information, says Sara Hooker, leads Cohere AI, Coheres nonprofit AI research lab.And going easier information amplified languages models dont serve.How works: Most data train foundational models fueling current wave AI example, OpenAIs GPT models Metas Llama versions English, AI tools support perform best asked questions it.GPT4, latest LLM OpenAI, excels English, Spanish, Italian, Indonesian Latin alphabetbased languages, struggles Thai, Punjabi languages based different alphabets. Baidus Ernie Bot best Chinese, trained on.When released updated LLM model July, Meta cautioned training data model English, suitable use languages. ChatGPT translate prompts responses English well, fumbles translating English languages. Languages French Chinese, known high resource languages wellrepresented training data, translated English far better Javanese low resource languages.ChatGPT words, struggle syntax generate gibberish underrepresented languages, Andrew Deck writes Rest World, tested abilities free version chatbot released late year. A newer version shows slight improvement languages simple prompts continues struggle complicated requests, Deck notes. Whats happening: Some developers trying overcome linguistic shortcomings focusing building multilingual large language models, putting efforts tuning models particular language.The Aya Project Cohere open science project build AI model tuned instructions 100 languages focusing foundational model trained unstructured text. Aya, plans release model early year, follows opensource models, including BLOOM, generate text 46 languages. eption, UAEbased company, week released Jais, bilingual ArabicEnglish LLM. The Masakhane Foundation working AI systems capture African languages.Clibrain startup based Madrid July released LINCE Zero, LLM tuned Spanish. Spanish Spanish, companys CEO, Elena GonzlezBlanco, tells Axios.Clibrain focused capturing nuances language, numerous dialects variations spoken 20 countries world. Current demand Spanish language model coming legal communications sectors, GonzlezBlanco says. The Barcelona Supercomputing Center released Spanish LLM.Yes, but: Building model language isnt realistic, says Mona Diab, director Language Technologies Institute Carnegie Mellon University. Shes proponent multilingual models sees promise capture families languages. For example, model trained Arabic Tunisia, Egypt Saudi Arabia, Qatar, able respond prompt Qatari Arabic dialect. You lack pretraining data knowing language family, says.The big picture: AIs language bias reflects broader lack cultural awareness AI systems.For languages included training data, internet penetration tends upper echelons societies reflection entire culture, Diab says.The data deliberately curated, taking account histories, politics media landscapes cultures, adds.Zoom in: Diab collaborators currently comparing views output different language models trained English translate multilingual models languagespecific ones responses multiple global surveys conducted ground Arab world. Were finding multilingual models best, says, depends question. When comes politics, people feel free express English Arabic, models English training perform better predominantly Arabic model. More socialoriented questions lean languagetuned systems. The big question: Whose value systems worldviews imposed AI models people try flag potentially harmful speech?We hold everybody certain yardstick, Westernoriented, maybe things dont necessarily hold different cultures different settings, Diab says. Barring human rights issues, cognizant value community community manifests way language model responds certain query?What watch: Researchers working Aya Project redteaming languages model safety, biases risks.Native speakers annotating responses toxicity, unsafe use, prompting bad financial advice, issues.All redteaming date major model launches primarily English, Hooker says, adding assess safety open research question.We report risk language, deploying technology world.Go deeper: Social scientists look AI models study human behavior AxiosShare facebook opens new windowShare twitter opens new windowShare linkedin opens new windowShare email opens new windowGo deeperNews worthy time.Download appAboutAbout AxiosAdvertise usCareersEventsAxios HBOAxios HQPrivacy termsOnline tracking choicesYour Privacy Choices usAxios newslettersAxios ProAxios appAxios podcastsCoursesEarn Axios rewardsAxios Home
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https://www.barchart.com/story/news/14063706/the-battle-for-ai-dominance-begins
| 2023-02-09T00:00:00 |
en
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The Battle for AI Dominance Begins
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The Battle for AI Dominance Begins
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Change Price Change Range Change Gap Up & Gap Down Five Day Gainers Before & After Markets Pre-Market Trading Post-Market Trading Most Active Volume Leaders Price Volume Leaders Volume Advances Trading Liquidity Indices Market Indices S&P Indices S&P Sectors Dow Jones Indices Nasdaq Indices Russell Indices Volatility Indices Commodities Indices US Sectors Indices World Indices Trading Signals New Recommendations Top 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 Options Market Pulse Options Market Overview Unusual Options Activity IV Rank and IV Percentile Most Active Options Unusual Options Volume Highest Implied Volatility %Change in Volatility Options Volume Leaders Change in Open Interest Options Strategy Indexes Options Price History Options Screener Advanced Groupings Covered Calls Naked Puts Bull Call Debit Spreads Bear Call Credit Spreads Bear Put Debit Spreads Bull Put Credit Spreads Straddle and Strangle Short Straddle Long Straddle Short Strangle Long Strangle Butterfly Strategies Long Call Butterfly Short Call Butterfly Long Put Butterfly Short Put Butterfly Condor Strategies Short Iron Condors Long Iron Condors Horizontal Strategies Long Call Calendar Long Put Calendar Optionable Stocks Upcoming Earnings Stocks by Sector ETFs Market Pulse ETF Market Overview Popular ETFs ETF Finder Top 100 ETFs Today's Price Surprises New Highs & Lows Top Dividend ETFs ETF Screener Performance Leaders Percent Change Price Change Range Change Gap Up & Gap Down Five Day Gainers Before & After Markets Pre-Market Trading Post-Market Trading Most Active Volume Leaders Price Volume Leaders Volume Advances Trading Signals New Recommendations Top ETFs to Own Top Signal Strength Top Signal Direction ETFs Signal Upgrades Mutual Funds Today's Price Surprises New Highs & Lows Performance Price Change Funds Screener Futures Market Pulse Futures 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Corp NVDA 226.53 4.48 2.02 Nvidia Corp AI 23.90 2.29 8.74 C3.Ai Cl A SOUN 4.22 0.41 8.86 Soundhound Ai Cl A Most Popular News 1 2 Bull Call Spread Trade Ideas For AAPL This Wednesday 2 Unusual Activity ConocoPhillips Put Options Shows Good ome Play 3 3 Stocks Watch From Unusual Options Volume Screener 4 Markets Today: Stocks Fall Mixed Corporate Earnings Results 5 Futures Signaling Weak Open Wall Street, Disney Earnings On Tap Log In Sign Up Site News Market: US Canada UK Australia Europe HOME Stocks Market Pulse Stock Market Overview Market Momentum Market Performance Top 100 Stocks Todays Price Surprises New Highs Lows Economic Overview Earnings Within 7 Days Earnings Dividends Stock Screener Barchart Trade Picks Todays Top Stock Pick All Top Stock Picks Performance Leaders Percent Change Price Change Range Change Gap Up Gap Down Five Day Gainers Before After Markets PreMarket Trading PostMarket Trading Most Active Volume Leaders Price Volume Leaders Volume Advances Trading Liquidity 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https://www.bbc.co.uk/news/business-65849104?at_medium=RSS&at_campaign=KARANGA
| 2023-06-23T00:00:00 |
en
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Students switch to AI to learn languages - BBC News
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Students switch to AI to learn languages - BBC NewsBBC HomepageSkip to contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menuSearch BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar in UkraineClimateVideoWorldUS & CanadaUKBusinessTechScienceMoreEntertainment & ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatBusinessMarket DataNew EconomyNew Tech EconomyCompaniesTechnology of BusinessEconomyCEO SecretsGlobal TradeCost of LivingStudents switch to AI to learn languagesPublished1 hour agoShareclose panelShare pageCopy linkAbout sharingImage source, Christine RoImage caption, Christine Ro uses ChatGPT to practise her SpanishBy Christine RoTechnology of Business reporterI tell my Argentinian pal that I've been using ChatGPT to practise my Spanish and, excitedly, I explain what it can do.It can correct my errors, I tell him, and it's able to give me regional variations in Spanish, including Mexican Spanish, Argentinian Spanish and, amusingly, Spanglish.And, unlike when I'm chatting to him on WhatsApp, I don't have to factor in time zone differences.My friend is less enthused. "So you've replaced me?" he jokes.I haven't, of course. The convenience and breadth of an AI chatbot can't compete with the pleasures of chatting with someone whose personality quirks I've learned over the course of years. It is however a useful supplement.And I'm just one of many people who have discovered in recent months the benefits of AI-based chat for language learning.A Costa Rican who works in the construction industry tells me that his AI-powered keyboard has been useful for polishing up his technical vocabulary in English. For instance, it's saved him a great deal of time to be able to find an English word for a tool by describing it. A South African café owner has gone further in improving his Spanish grammar with the aid of AI. He had a hard time finding simple study tools, especially given his ADHD, so he started using ChatGPT to quickly generate and adapt study aids like charts of verb tenses. Developers have been quick to jump on this wave of interest, and there are now numerous apps that have drawn on open-source code to customise AI for language learners. These can be more appropriate for learners than general chatbots like the virtual companion Replika. Blanka Klímová, an associate professor of applied linguistics at the University of Hradec Králové in Czechia, says that Replika has been useful for her students to practise informal English. But the conversations could become repetitive, language corrections were missing, and the chatbot would sometimes ask students for sexy pictures. "This was quite abusive."Image source, Christine RoImage caption, A conversation in the AI language-learning app Tutor LilyIn contrast, one of the specific language-learning chatbots is LangAI, launched in March by Federico Ruiz Cassarino. Mr Ruiz Cassarino drew on his own experiences of learning English after moving from Uruguay to the UK. His English skills improved dramatically from speaking every day, compared to more academic methods. He's now using his own app to work on his Italian.Many people get self-conscious about making mistakes in a language they barely speak, even to a tutor, Mr Ruiz Cassarino notes. But a chatbot won't judge you. And the new wave of generative AI is so advanced that it can cultivate AI penpals, which is how he sees his product.Rather than sticking to boring pre-scripted roleplays, with current AI "you can speak about things that are interesting to you, which makes it feel like not as much of a chore to learn".While many language learners are using popular chatbots like ChatGPT and Bard to practice, Mr Ruiz Cassarino believes that specific language-acquisition apps like his are useful."We worked really hard to make this well tailored for somebody who wants to learn languages," he says. The team customised LangAI's user interface to match users' vocabulary levels, added the ability to make corrections during a conversation, and enabled the conversion of speech to text.According to Mr Ruiz Cassarino, they're seeing some impressive retention numbers for an education app. Of users who try the app for around 10 minutes, roughly 45% will still be using it a month later. They're now focused on building the subscriber base of people willing to pay for unlimited use. Related to that, they're planning advancements like tracking of improved skills and the ability to personalise the chatbot's tone and personality (perhaps even to practise a language while conversing with historical figures).Image source, Christine RoImage caption, Some of the many language learning appsAssoc Prof Klímová, who is also a member of the research project Language in the Human-Machine Era, has assessed the useability and usefulness of AI chatbots for students of foreign languages. This research suggests that AI chatbots are helpful for vocabulary development, grammar and other language skills, especially when they offer corrective feedback.To stay ahead of the trend, well-established language-learning apps have been integrating AI into their own platforms. Duolingo began collaborating with OpenAI in September 2022, using that company's GPT-4.It seems unlikely that AI chatbots will replace Duolingo altogether. Joy Ehonwa, an editor and writer in Lagos, mainly uses Duolingo to learn French.But lately she's also been using an AI chatbot developed in Nigeria to help with her French.She interacts with this chatbot, Kainene vos Savant, the way she would with "an all-knowing human friend". Ms Ehonwa explains, "My questions revolve around 'why'? When I fail an exercise on Duolingo, the app is not great at helping me understand why the thing that was wrong, was wrong. So, I ask Kainene. Also, when I think a sentence should be a certain way and it isn't, I ask Kainene why and she helps me understand why it cannot be the way I expect it to be, as an English speaker."Image source, Amaju adomiImage caption, Joy Ehonwa says chatbots are good at explaining points of languageIf the older language-learning platforms have weaknesses, so does AI-powered language learning. Users are reporting that chatbots are well versed in widely spoken European languages, but quality degrades for languages that are underrepresented online or that have different writing systems. Many of the AI language-learning apps are available for a limited set of languages.Even in common languages, the chatbots make errors - sometimes even inventing words. One problem is that they deliver text so confidently, it would be easy for a relatively new learner to take what they say as correct.Emily M Bender, a professor of computational linguistics at the University of Washington in the US, has concerns, "What kind of biases and inappropriate ways of talking about other people might they be learning from the chatbot?" Other ethical issues, such as data privacy, may also be neglected.More technology of business:How an autopilot could handle an emergency descentCan Amsterdam make the circular economy work?The 'exploding' demand for giant heat pumpsThe chip maker that became an AI superpowerWhy car parks are the hottest space in solar powerStill, Assoc Prof Klímová believes that there will be an enormous market for such technologies. And like a number of language learners, she points out that GPT-4, available with a paid subscription to ChatGPT, has made astonishing strides on accuracy.Though many teachers disagree, she believes, "It's just a matter of time when artificial intelligence will replace us as teachers of foreign languages."While that may sound extreme, "teachers will still have an important role as mentors and facilitators, particularly with beginner learners and older people since teachers have a strong understanding of the individual learning styles, language needs, and goals of each student."It will be key for language teachers to assess the added value of AI and their role in relation to it, as more sophisticated self-directed learning becomes possible. As Assoc Prof Klímová advises, "Technology is here to stay, and we have to face it and reconsider our teaching methods and assessments." Related TopicsArtificial intelligenceLanguageTop StoriesLive. US Navy detected implosion sounds after sub lost contactFive dead on Titan sub were 'true explorers'Published1 hour agoFacebook and Instagram to restrict news access in CanadaPublished55 minutes agoFeaturesThe woman who wants to end abortion in AmericaSatellite images reveal Ukraine canals drying upTwo families united in grief after Greece boat disasterWindrush 75: 'We have put the Great in Britain'Final Fantasy 16: Trying to regain fans' trustFears grow over Indian state on brink of civil warThe draft star and his overdose - a death that changed AmericaThe Gen Xers making mid-life career pivotsThe fisherman who found a dead baby in his netElsewhere on the BBCWhere tipping can be considered rudeThe fading glamour of digital nomadismWhy are there mountains inside Earth?Most Read1Titanic director: 'I felt in my bones what happened'2Sounds 'consistent with implosion' heard by US Navy3How will they find out what happened to the Titan?4Parts of missing sub's cover found, expert says5The woman who wants to end abortion in America6British father, son and explorer among sub victims7Facebook and Instagram to restrict news access in Canada8Five dead on Titan sub were 'true explorers'9Spate of mass brawls at German outdoor pools10Canada police name 16 victims in highway crashBBC 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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Students switch to AI to learn languages
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Students switch AI learn languages BBC NewsBBC HomeSkip contentAccessibility HelpYour accountHomeNewsSportReelWorklifeTravelFutureMore menuMore menu BBCHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsClose menuBBC NewsMenuHomeWar UkraineClimateVideoWorldUS CanadaUKBusinessTechScienceMoreEntertainment ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatBusinessMarket DataNew EconomyNew Tech EconomyCompaniesTechnology BusinessEconomyCEO SecretsGlobal TradeCost LivingStudents switch AI learn languagesPublished1 hour agoShareclose panelShare Copy linkAbout sharingImage source, Christine RoImage caption, Christine Ro uses ChatGPT practise SpanishBy Christine RoTechnology Business reporterI tell Argentinian pal Ive ChatGPT practise Spanish and, excitedly, I explain do.It correct errors, I tell him, able regional variations Spanish, including Mexican Spanish, Argentinian Spanish and, amusingly, Spanglish.And, unlike Im chatting WhatsApp, I dont factor time zone differences.My friend enthused. So youve replaced me? jokes.I havent, course. The convenience breadth AI chatbot compete pleasures chatting personality quirks Ive learned course years. It useful supplement.And Im people discovered recent months benefits AIbased chat language learning.A Costa Rican works construction industry tells AIpowered keyboard useful polishing technical vocabulary English. For instance, saved great deal time able English word tool describing it. A South African caf owner gone improving Spanish grammar aid AI. He hard time finding simple study tools, especially given ADHD, started ChatGPT quickly generate adapt study aids like charts verb tenses. Developers quick jump wave interest, numerous apps drawn opensource code customise AI language learners. These appropriate learners general chatbots like virtual companion Replika. Blanka Klmov, associate professor applied linguistics University Hradec Krlov Czechia, says Replika useful students practise informal English. But conversations repetitive, language corrections missing, chatbot ask students sexy pictures. This abusive.Image source, Christine RoImage caption, A conversation AI languagelearning app Tutor LilyIn contrast, specific languagelearning chatbots LangAI, launched March Federico Ruiz Cassarino. Mr Ruiz Cassarino drew experiences learning English moving Uruguay UK. His English skills improved dramatically speaking day, compared academic methods. Hes app work Italian.Many people selfconscious making mistakes language barely speak, tutor, Mr Ruiz Cassarino notes. But chatbot wont judge you. And new wave generative AI advanced cultivate AI penpals, sees product.Rather sticking boring prescripted roleplays, current AI speak things interesting you, makes feel like chore learn.While language learners popular chatbots like ChatGPT Bard practice, Mr Ruiz Cassarino believes specific languageacquisition apps like useful.We worked hard tailored somebody wants learn languages, says. The team customised LangAIs user interface match users vocabulary levels, added ability corrections conversation, enabled conversion speech text.According Mr Ruiz Cassarino, theyre seeing impressive retention numbers education app. Of users try app 10 minutes, roughly 45 month later. Theyre focused building subscriber base people willing pay unlimited use. Related that, theyre planning advancements like tracking improved skills ability personalise chatbots tone personality practise language conversing historical figures.Image source, Christine RoImage caption, Some language learning appsAssoc Prof Klmov, member research project Language HumanMachine Era, assessed useability usefulness AI chatbots students foreign languages. This research suggests AI chatbots helpful vocabulary development, grammar language skills, especially offer corrective feedback.To stay ahead trend, wellestablished languagelearning apps integrating AI platforms. Duolingo began collaborating OpenAI September 2022, companys GPT4.It unlikely AI chatbots replace Duolingo altogether. Joy Ehonwa, editor writer Lagos, mainly uses Duolingo learn French.But lately shes AI chatbot developed Nigeria help French.She interacts chatbot, Kainene vos Savant, way allknowing human friend. Ms Ehonwa explains, My questions revolve why? When I fail exercise Duolingo, app great helping understand thing wrong, wrong. So, I ask Kainene. Also, I think sentence certain way isnt, I ask Kainene helps understand way I expect be, English speaker.Image source, Amaju adomiImage caption, Joy Ehonwa says chatbots good explaining points languageIf older languagelearning platforms weaknesses, AIpowered language learning. Users reporting chatbots versed widely spoken European languages, quality degrades languages underrepresented online different writing systems. Many AI languagelearning apps available limited set languages.Even common languages, chatbots errors inventing words. One problem deliver text confidently, easy relatively new learner correct.Emily M Bender, professor computational linguistics University Washington US, concerns, What kind biases inappropriate ways talking people learning chatbot? Other ethical issues, data privacy, neglected.More technology business:How autopilot handle emergency descentCan Amsterdam circular economy work?The exploding demand giant heat pumpsThe chip maker AI superpowerWhy car parks hottest space solar powerStill, Assoc Prof Klmov believes enormous market technologies. And like number language learners, points GPT4, available paid subscription ChatGPT, astonishing strides accuracy.Though teachers disagree, believes, Its matter time artificial intelligence replace teachers foreign languages.While sound extreme, teachers important role mentors facilitators, particularly beginner learners older people teachers strong understanding individual learning styles, language needs, goals student.It key language teachers assess added value AI role relation it, sophisticated selfdirected learning possible. As Assoc Prof Klmov advises, Technology stay, face reconsider teaching methods assessments. Related TopicsArtificial intelligenceLanguageTop StoriesLive.US Navy detected implosion sounds sub lost contactFive dead Titan sub true explorersPublished1 hour agoFacebook Instagram restrict news access CanadaPublished55 minutes agoFeaturesThe woman wants end abortion AmericaSatellite images reveal Ukraine canals drying upTwo families united grief Greece boat disasterWindrush 75: We Great BritainFinal Fantasy 16: Trying regain fans trustFears grow Indian state brink civil warThe draft star overdose death changed AmericaThe Gen Xers making midlife career pivotsThe fisherman dead baby netElsewhere BBCWhere tipping considered rudeThe fading glamour digital nomadismWhy mountains inside Earth?Most Read1Titanic director: I felt bones happened2Sounds consistent implosion heard US Navy3How happened Titan?4Parts missing subs cover found, expert says5The woman wants end abortion America6British father, son explorer sub victims7Facebook Instagram restrict news access Canada8Five dead Titan sub true explorers9Spate mass brawls German outdoor pools10Canada police 16 victims highway crashBBC News ServicesOn mobileOn smart speakersGet news alerts BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms UseAbout BBCsAccessibility HelpParental Guidance BBCGet Personalised NewslettersWhy trust BBCAdvertise 2023 BBC. The BBC responsible content external sites. Read approach external linking.
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https://www.bbc.com/news/technology-55158060
| 2020-12-02T00:00:00 |
en
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Web Summit: Oculus co-founder talks China and military AI - BBC News
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Web Summit: Oculus co-founder talks China and military AI - BBC NewsBBC HomepageSkip to contentAccessibility Helpsign-inBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaret-downsearchSearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuBBC NewslistMenuHomeUS ElectionCoronavirusVideoWorldUS & CanadaUKBusinessTechScienceStorieslistMoreEntertainment & ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsTechWeb Summit: Oculus co-founder talks China and military AIBy Jane WakefieldTechnology reporter Publishedduration1 hour agoshareSharenocloseShare pagelinkCopy linkAbout sharingimage copyrightWeb Summitimage captionPalmer Luckey talked about the relationship between tech firms and the military, in a Web Summit chatVirtual reality firm Oculus VR's co-founder has accused other tech chiefs of refusing to work with the US military for fear of alienating China.In a virtual chat at Web Summit, Palmer Luckey said US technology companies had "always worked" with the military in the past, claiming a recent change of heart had been caused by their deepening relationships with China.Mr Luckey left Facebook in 2017, three years after it acquired Oculus.He now runs a surveillance start-up.His firm Anduril signed a contract earlier this year to create a virtual border wall between the US and Mexico, using drones and sensor-laden towers.During a talk at Web Summit, which is online this year, he challenged the notion that tech firms were refusing military contracts because of staff's ethical objections."A lot of companies have financial and PR incentives to stay out of military work, so they're happy to use these employees as a scapegoat to say 'we're listening to our employees', which contributes to this idea that workers of Silicon Valley and other tech hubs are universally opposed to this idea," he said."It is in the interest of a lot of these tech companies to kind of pretend to be these extra-national international corporations that are bound to no nation. "You can disagree on how dominant of a factor it is, It's a factor, though, and it's the one that doesn't get discussed."Robot soldiersMr Luckey suggested that the real reason tech leaders opted out of contracts with the US military might have more to do with not wanting to anger Beijing, because their firms' market caps were "wound up with China"."China has done an incredible job of using the blocking of access to their markets as a tool to get the culture of western democracies to subvert itself to China," he said."They don't have to come after us militarily. They don't have to cut our networks. All they have to do is invest in our companies, do partnerships with our companies... and then everybody bends over for them."He did not point the finger at particular firms. But in 2018, Google pulled out of the lucrative Joint Enterprise Defense Infrastructure (Jedi) military contract after staff protested. It later abandoned Project Maven, a Pentagon program to build an AI-powered surveillance platform for autonomous drones, and pledged never to use AI for military purposes.But Google has also scaled back ambitions in China. Many of its services remain blocked in the country, and after hundreds of employees protested against plans to launch a censored search engine - dubbed Dragonfly - the project was dropped last year.Mr Palmer is himself a controversial figure. He was embroiled in a court case over whether Oculus infringed copyright from his previous firm Zenimax, and he also helped bankroll a group behind a social media campaign for President Trump.image copyrightGetty Imagesimage captionCurrently soldiers work with robots, but there are concerns the role of AI could increase in futureAI has been described as the third revolution in warfare, after gunpowder and nuclear weapons. There are fears that autonomous AI-powered soldiers could find their way on to the battleground in future.When asked about the use of AI in the military, Mr Luckey said: "It's not a good idea to outsource life and death decisions to a machine. You can't court-martial a machine. You can't imprison a computer for war crimes."Instead, he said, the aim should be to use AI to "sort through large amounts of information, but not make those lethal decisions without a person very explicitly looking at the data and making the call."I think that that's a pretty good line to draw, and something we'll have to enforce against our political adversaries."Related TopicsChinaArtificial intelligenceVirtual realityMore on this storyGoogle's Project Dragonfly 'terminated' in ChinaPublished17 July 2019Google employees criticise 'censored China search engine'Published16 August 2018Top StoriesPfizer vaccine judged safe for use in UK next weekThe UK is the first country to approve the Pfizer vaccine - with 800,000 doses due to arrive soon.Publishedduration3 hours agoWhat does UK vaccine approval mean for US?Publishedduration44 minutes agoProbe as lottery comes up 5, 6, 7, 8, 9 and 10Publishedduration2 hours agoFeaturesShould pregnant women be vaccinated?Did Brexit speed up the UK's vaccine approval?Covid-19: How will the new vaccine work? VideoCovid-19: How will the new vaccine work?playDoes the NHS really need protecting?Newscast: VA DayChina's Moon mission returns colour picturesAre both sides running out of road for a Brexit deal?Did government 'mess up' on lockdown end date?'One boy stood out to me - he's now my son'Elsewhere on the BBCSteve McQueen's Small AxeA young man tries to change racist attitudes in the police forceDaily news briefing direct to your inboxSign up for our newsletterMost ReadSouth Africa's lottery probed as 5, 6, 7, 8, 9 and 10 drawn and 20 win1Trump inciting violence, warns Georgia election official2China's Chang'e-5 Moon mission returns colour pictures3Covid-19: Pfizer/BioNTech vaccine judged safe for use in UK from next week4Baby girl born from record-setting 27-year-old embryo5Covid vaccine: What does UK vaccine approval mean for US?6India responds to Trudeau's 'ill-informed' remarks7Trump pardons: US justice department unveils bribery inquiry8Love Story: Taylor Swift offers 'sneak peek' of new re-recordings9Conception boat fire: Captain charged over 34 deaths in California10BBC News Servicesmobile-smartOn your mobilemicrophoneOn smart speakersnewsletterGet news alertsemailContact 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© 2020 BBC. The BBC is not responsible for the content of external sites. Read about our approach to external linking.
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Web Summit: Oculus co-founder talks China and military AI
|
Web Summit: Oculus cofounder talks China military AI BBC NewsBBC HomeSkip contentAccessibility HelpsigninBBC AccountHomeNewsSportReelWorklifeTravelFutureCultureMenuMorecaretdownsearchHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsnoClose menuBBC NewslistMenuHomeUS ElectionCoronavirusVideoWorldUS CanadaUKBusinessTechScienceStorieslistMoreEntertainment ArtsHealthIn PicturesReality CheckWorld News TVNewsbeatLong ReadsTechWeb Summit: Oculus cofounder talks China military AIBy Jane WakefieldTechnology reporter Publishedduration1 hour agoshareSharenocloseShare linkCopy linkAbout sharingimage copyrightWeb Summitimage captionPalmer Luckey talked relationship tech firms military, Web Summit chatVirtual reality firm Oculus VRs cofounder accused tech chiefs refusing work US military fear alienating China.In virtual chat Web Summit, Palmer Luckey said US technology companies worked military past, claiming recent change heart caused deepening relationships China.Mr Luckey left Facebook 2017, years acquired Oculus.He runs surveillance startup.His firm Anduril signed contract earlier year create virtual border wall US Mexico, drones sensorladen towers.During talk Web Summit, online year, challenged notion tech firms refusing military contracts staffs ethical objections.A lot companies financial PR incentives stay military work, theyre happy use employees scapegoat listening employees, contributes idea workers Silicon Valley tech hubs universally opposed idea, said.It lot tech companies kind pretend extranational international corporations bound nation. You disagree dominant factor is, Its factor, though, doesnt discussed.Robot soldiersMr Luckey suggested real reason tech leaders opted contracts US military wanting anger Beijing, firms market caps wound China.China incredible job blocking access markets tool culture western democracies subvert China, said.They dont come militarily. They dont cut networks. All invest companies, partnerships companies... everybody bends them.He point finger particular firms. But 2018, Google pulled lucrative Joint Enterprise Defense Infrastructure Jedi military contract staff protested. It later abandoned Project Maven, Pentagon program build AIpowered surveillance platform autonomous drones, pledged use AI military purposes.But Google scaled ambitions China. Many services remain blocked country, hundreds employees protested plans launch censored search engine dubbed Dragonfly project dropped year.Mr Palmer controversial figure. He embroiled court case Oculus infringed copyright previous firm Zenimax, helped bankroll group social media campaign President Trump.image copyrightGetty Imagesimage captionCurrently soldiers work robots, concerns role AI increase futureAI described revolution warfare, gunpowder nuclear weapons. There fears autonomous AIpowered soldiers way battleground future.When asked use AI military, Mr Luckey said: Its good idea outsource life death decisions machine. You courtmartial machine. You imprison war crimes.Instead, said, aim use AI sort large amounts information, lethal decisions person explicitly looking data making call.I think thats pretty good line draw, enforce political adversaries.Related TopicsChinaArtificial intelligenceVirtual realityMore storyGoogles Project Dragonfly terminated ChinaPublished17 July 2019Google employees criticise censored China search enginePublished16 August 2018Top StoriesPfizer vaccine judged safe use UK weekThe UK country approve Pfizer vaccine 800,000 doses arrive soon.Publishedduration3 hours agoWhat UK vaccine approval mean US?Publishedduration44 minutes agoProbe lottery comes 5, 6, 7, 8, 9 10Publishedduration2 hours agoFeaturesShould pregnant women vaccinated?Did Brexit speed UKs vaccine approval?Covid19: How new vaccine work? VideoCovid19: How new vaccine work?playDoes NHS need protecting?Newscast: VA DayChinas Moon mission returns colour picturesAre sides running road Brexit deal?Did government mess lockdown end date?One boy stood hes sonElsewhere BBCSteve McQueens Small AxeA young man tries change racist attitudes police forceDaily news briefing direct inboxSign newsletterMost ReadSouth Africas lottery probed 5, 6, 7, 8, 9 10 drawn 20 win1Trump inciting violence, warns Georgia election official2Chinas Change5 Moon mission returns colour pictures3Covid19: PfizerBioNTech vaccine judged safe use UK week4Baby girl born recordsetting 27yearold embryo5Covid vaccine: What UK vaccine approval mean US?6India responds Trudeaus illinformed remarks7Trump pardons: US justice department unveils bribery inquiry8Love Story: Taylor Swift offers sneak peek new rerecordings9Conception boat fire: Captain charged 34 deaths California10BBC News ServicesmobilesmartOn mobilemicrophoneOn smart speakersnewsletterGet news alertsemail BBC NewsHomeNewsSportReelWorklifeTravelFutureCultureMusicTVWeatherSoundsTerms UseAbout BBCsAccessibility HelpParental Guidance BBCGet Personalised NewslettersWhy trust BBCAdvertise usAdChoices Do Not Sell My Info 2020 BBC. The BBC responsible content external sites. Read approach external linking.
| 2,020 |
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https://www.benzinga.com/general/entrepreneurship/21/08/22562546/rami-karabibar-shares-his-journey-through-the-world-of-modern-investment-both-as-an-oper
| 2021-08-18T00:00:00 |
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Rami Karabibar Shares His Journey Through the World of Modern Investment, Both as an Operator and as an Investor - Across Technology, Food Delivery, Machine Learning and Autonomous Vehicles | Benzinga
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Rami Karabibar Shares His Journey Through the World of Modern Investment, Both as an Operator and as an Investor - Across Technology, Food Delivery, Machine Learning and Autonomous Vehicles | Benzinga
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Rami Karabibar Shares His Journey Through the World of Modern Investment, Both as an Operator and as an Investor - Across Technology, Food Delivery, Machine Learning and Autonomous Vehicles
Melissa Beavers
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August 18, 2021 1:52pm
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Modern-day investments are not just a numbers game. A successful investor must be able to analyze the market, evaluate the quality of a company, and anticipate the future (to the best of their abilities). Furthermore, successful investors must also be able to conduct thorough research and communicate effectively, as we all know investments are nothing without the people behind them.
Rami Karabibar is an individual who checks all of the boxes, and his professional experiences span economics, investing, and leadership roles at technology-based startups. Having begun his university studies in engineering – before switching majors to complete his Bachelor of Commerce – Rami was always passionate and curious about the tech world. In fact, he built his own computer at just 13 years old. After realizing that he was much more drawn to the business side of technology vs. the technical side of coding, he decided to pursue a career in finance and excelled in McGill University’s highly competitive Honours program in Investment Management. His long-term vision was that he would hone his skills to be well-rounded and capable of launching his own startup.
The program gave him a chance to explore the ins and outs of investing, under the supervision of a professional asset manager, as the class oversaw a $3M portfolio which they used to invest in stocks and bonds. Rami was a leader in his class and graduated with distinction. This made him a hot commodity entering the working force, and he was quickly recruited by Bain and Company – a leading consulting firm. It was during his time with Bain and Company that Rami Karabibar truly refined his understanding of the industry, as his role focussed on creating evaluations for companies to use to inform their investment plans.
From Consulting to Food Delivery
Ready for a change of scene, Rami left Bain and Company to take on a position as a Strategic Finance Lead with former food delivery tech startup Zoomer. In this role, Rami partook in certain fundraising efforts but primarily worked as an operator helping to guide and support the company through their growth, including launching new products.
While operators have previously been highly undervalued, they have recently received more recognition as a key component for the success of any startup because they’re the ones building the right infrastructure for scale and long-term maturation. Operators work under the radar – studying tactics, analyzing data, and figuring out what works. Their role isn’t exactly flash and fame, but it is absolutely essential.
Back to Tech with a Bang
Returning to his area of expertise, Rami Karabibar took on a position as a Tech Growth Investor with Warburg Pincus – one of the largest and most prestigious global private equity firms. There he led both financial and commercial diligence of minor and major investments for the company, in the range of $50M-$1B+.
He also played a role in sourcing efforts and conducted diligence on hundreds of startups – one of his coverage areas centered around machine learning. However, his most successful contribution was his work on the closing investment in the cybersecurity firm eSentire Inc. While a specific figure was not revealed, sources shared that the final cheque was in the 9-digit range. This was a huge contribution to Karabibar’s already impressive resume and reputation, opening up exciting new opportunities for his future.
Where Creative Technology Meets Real-life Needs
The next step in Rami’s journey was with Waymo, formerly Google’s Self-Driving Car Project. Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around.
Although the company was already experiencing great success when he arrived, Karabibar was an essential component of their expansion from self-driving cars to self-driving trucks. He led prospecting efforts by conducting diligence and sourcing strategic partnerships and joint ventures across key stakeholders in the mobility space. Through this process, he connected with the engineering team at Anki, a former consumer electronics startup. Anki’s unfortunate dissolution was in fact the perfect solution for Waymo, and the entire team of engineers was brought on to lead the trucking efforts. There is no doubt that this was a vital move in building Waymo’s reputation as such a world-renowned autonomous vehicle company.
Beyond this, Karabibar also led key diligence efforts as one of the internal deal leads for Waymo’s first external fundraiser of a whopping $3B+ – the second-largest private tech fundraiser in US history.
What Does the Future Hold?
These days, Rami Karabibar is most interested in working with startups. He learned at a young age from his father that there is immense benefit in carving out your own path and being able to live life on your own terms. Furthermore, he is passionate about finding meaningful projects to work on, and, like so many people these days, he respects a business plan that is not just for profit, but that also has a lens on making a positive impact.
His latest venture is EvenUp – a startup company with a mission to help personal injury victims get the justice they deserve, irrespective of the victim’s income, access to capital, or legal representation. EvenUp relies on machine learning to help personal injury victims and their attorneys achieve better results. For the victims, they provide litigation and pre-settlement financing, so they can pursue litigation without settling early or incurring debilitating debts. For the attorneys, they supply software that provides information about the value of their lawsuit, allowing them to have data for principled settlement negotiations. This is a true passion project for Rami, as he worked tirelessly to raise the $4.4M seed to get the company going.
At only 29 years old, Rami Karabibar already has an extremely varied and impressive resume under his belt. His expertise in finance, substantial experience in analysis, and his love of technology makes him an absolute asset in this industry. His future is bright and we look forward to following along in his journey.
© 2021 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.
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Rami Karabibar Shares His Journey Through the World of Modern Investment, Both as an Operator and as an Investor
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Rami Karabibar Shares His Journey Through World Modern Investment, Both Operator Investor Across Technology, Food Delivery, Machine Learning Autonomous Vehicles 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 Brokerage ReviewsBest Online Brokers Stock Brokers Forex Brokers Personal Finance Compare Brokers Futures Brokers Options Brokers Webull Binary Option Brokers eToro Cryptocurrency Brokers 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 Masterworks Review 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 Rami Karabibar Shares His Journey Through World Modern Investment, Both Operator Investor Across Technology, Food Delivery, Machine Learning Autonomous Vehicles Melissa Beavers following ? Following : Follow August 18, 2021 1:52pm 1015 Comments Share: Modernday investments numbers game. A successful investor able analyze market, evaluate quality company, anticipate future best abilities. Furthermore, successful investors able conduct thorough research communicate effectively, know investments people them. Rami Karabibar individual checks boxes, professional experiences span economics, investing, leadership roles technologybased startups. Having begun university studies engineering switching majors complete Bachelor Commerce Rami passionate curious tech world. In fact, built 13 years old. After realizing drawn business technology vs. technical coding, decided pursue career finance excelled McGill Universitys highly competitive Honours program Investment Management. His longterm vision hone skills wellrounded capable launching startup. The program gave chance explore ins outs investing, supervision professional asset manager, class oversaw 3M portfolio invest stocks bonds. Rami leader class graduated distinction. This hot commodity entering working force, quickly recruited Bain Company leading consulting firm. It time Bain Company Rami Karabibar truly refined understanding industry, role focussed creating evaluations companies use inform investment plans. From Consulting Food Delivery Ready change scene, Rami left Bain Company position Strategic Finance Lead food delivery tech startup Zoomer. In role, Rami partook certain fundraising efforts primarily worked operator helping guide support company growth, including launching new products. While operators previously highly undervalued, recently received recognition key component success startup theyre ones building right infrastructure scale longterm maturation. Operators work radar studying tactics, analyzing data, figuring works. Their role isnt exactly flash fame, absolutely essential. Back Tech Bang Returning area expertise, Rami Karabibar took position Tech Growth Investor Warburg Pincus largest prestigious global private equity firms. There led financial commercial diligence minor major investments company, range 50M1B. He played role sourcing efforts conducted diligence hundreds startups coverage areas centered machine learning. However, successful contribution work closing investment cybersecurity firm eSentire . While specific figure revealed, sources shared final cheque 9digit range. This huge contribution Karabibars impressive resume reputation, opening exciting new opportunities future. Where Creative Technology Meets Reallife Needs The step Ramis journey Waymo, Googles SelfDriving Car Project. Waymo autonomous driving technology company mission safe easy people things around. Although company experiencing great success arrived, Karabibar essential component expansion selfdriving cars selfdriving trucks. He led prospecting efforts conducting diligence sourcing strategic partnerships joint ventures key stakeholders mobility space. Through process, connected engineering team Anki, consumer electronics startup. Ankis unfortunate dissolution fact perfect solution Waymo, entire team engineers brought lead trucking efforts. There doubt vital building Waymos reputation worldrenowned autonomous vehicle company. Beyond this, Karabibar led key diligence efforts internal deal leads Waymos external fundraiser whopping 3B secondlargest private tech fundraiser US history. What Does Future Hold? These days, Rami Karabibar interested working startups. He learned young age father immense benefit carving path able live life terms. Furthermore, passionate finding meaningful projects work on, and, like people days, respects business plan profit, lens making positive impact. His latest venture EvenUp startup company mission help personal injury victims justice deserve, irrespective victims income, access capital, legal representation. EvenUp relies machine learning help personal injury victims attorneys achieve better results. For victims, provide litigation presettlement financing, pursue litigation settling early incurring debilitating debts. For attorneys, supply software provides information value lawsuit, allowing data principled settlement negotiations. This true passion project Rami, worked tirelessly raise 4.4M seed company going. At 29 years old, Rami Karabibar extremely varied impressive resume belt. His expertise finance, substantial experience analysis, love technology makes absolute asset industry. His future bright look forward following journey. 2021 . Benzinga provide investment advice. . Related Articles View Comments Join Discussion View discussion thread. 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] | 1 | 198,051 |
https://www.benzinga.com/news/23/03/31114440/elon-musk-teases-ai-innovation-just-ahead-of-tesla-investor-day-photo-filters-are-so
| 2023-03-01T00:00:00 |
en
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Hours Before Tesla Investor Day, Elon Musk Teases AI Innovation: - Tesla (NASDAQ:TSLA) - Benzinga
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Hours Before Tesla Investor Day, Elon Musk Teases AI Innovation: - Tesla (NASDAQ:TSLA) - 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 WatchYouTubePodcastsArt InvestingResearchMy StocksToolsCalendarsAnalyst Ratings CalendarConference Call CalendarDividend CalendarEarnings CalendarEconomic CalendarFDA CalendarGuidance CalendarIPO CalendarM&A CalendarSPAC CalendarStock Split CalendarTrade IdeasInsider TradesTrade Idea FeedAnalyst RatingsUnusual Options ActivityHeatmapsShort InterestMost ShortedLargest IncreaseLargest DecreaseCalculatorsMargin CalculatorForex Profit Calculator100x Options Profit Calculator––%––%––%––%––%––%Elon Musk Teases AI Innovation Just Ahead Of Tesla Investor Day: 'Photo Filters Are So…'by Ananya Gairola, Benzinga Staff WriterMarch 1, 2023 3:48 AM | 1 min read Tesla Inc. TSLA is hosting 2023 Investor Day on Wednesday and hours before the event, Elon Musk took to Twitter to tease artificial intelligence innovation. What Happened: Responding to a post by a handle named Optimus, the Tesla CEO remarked that “photo filters are so misleading.” See Also: Everything You Need To Know About Tesla Stock
Photo filters are so misleading 🤣🤣— Elon Musk (@elonmusk) March 1, 2023
The humanoid bot in the post appears to be hinting at the Optimus bot, a prototype of the Tesla bot unveiled at AI Day 2022. Musk at the time said that the bot would be available to the public in three to five years. Musk also called Optimus an “extremely capable robot, which will have the ability to solve problems on its own.”Why It’s Important: Tesla is gearing up to host its Investor Day, which will be live-streamed from Gigafactory Texas, beginning at 4 p.m. ET.
Musk has previously hinted at what investors could expect from the event and called it “Master Plan 3.” He also suggested that they will lay out plans for a “fully sustainable energy future for Earth.”Check out more of Benzinga’s Consumer Tech coverage by following this link.Read Next: Why Some Tesla Customers Are Considering Canceling Vehicle Deliveries Ahead Of Investor Day© 2023 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.Posted In: NewsTechArtificial InteliigenceConsumer TechElon MuskGigafactory TexasTesla Investor DayTesla Optimus botPopular 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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Hours Before Tesla Investor Day, Elon Musk Teases AI Innovation:
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Hours Before Tesla Investor Day, Elon Musk Teases AI Innovation: Tesla NASDAQ:TSLA 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 WatchYouTubePodcastsArt InvestingResearchMy StocksToolsCalendarsAnalyst Ratings CalendarConference Call CalendarDividend CalendarEarnings CalendarEconomic CalendarFDA CalendarGuidance CalendarIPO CalendarMA CalendarSPAC CalendarStock Split CalendarTrade IdeasInsider TradesTrade Idea FeedAnalyst RatingsUnusual Options ActivityHeatmapsShort InterestMost ShortedLargest reaseLargest DecreaseCalculatorsMargin CalculatorForex Profit Calculator100x Options Profit CalculatorElon Musk Teases AI Innovation Just Ahead Of Tesla Investor Day: Photo Filters Are Soby Ananya Gairola, Benzinga Staff WriterMarch 1, 2023 3:48 AM 1 min read Tesla . TSLA hosting 2023 Investor Day Wednesday hours event, Elon Musk took Twitter tease artificial intelligence innovation.What Happened: Responding post handle named Optimus, Tesla CEO remarked photo filters misleading.See Also: Everything You Need To Know About Tesla Stock Photo filters misleading Elon Musk March 1, 2023 The humanoid bot post appears hinting Optimus bot, prototype Tesla bot unveiled AI Day 2022. Musk time said bot available public years.Musk called Optimus extremely capable robot, ability solve problems own.Why Its Important: Tesla gearing host Investor Day, livestreamed Gigafactory Texas, beginning 4 p.m. ET. Musk previously hinted investors expect event called Master Plan 3. He suggested lay plans fully sustainable energy future Earth.Check Benzingas Consumer Tech coverage following link.Read Next: Why Some Tesla Customers Are Considering Canceling Vehicle Deliveries Ahead Of Investor Day 2023 . Benzinga provide investment advice. .Posted In: NewsTechArtificial InteliigenceConsumer TechElon MuskGigafactory TexasTesla Investor DayTesla Optimus botPopular 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/pressreleases/20/11/g18577825/rackspace-technology-announces-new-solve-strategy-series-webinar-how-businesses-are-using-ai-and-m?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+benzinga%2Fnews+%28Channels+-+News%29
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Rackspace Technology Announces New Solve Strategy Series Webinar: How Businesses are using AI and Machine Learning Today | Benzinga
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Rackspace Technology Announces New Solve Strategy Series Webinar: How Businesses are using AI and Machine Learning Today
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November 30, 2020 11:00am
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SAN ANTONIO, Nov. 30, 2020 (GLOBE NEWSWIRE) -- Rackspace Technology™ (NASDAQ:RXT), a leading end-to-end multicloud technology solutions company, will hold the virtual event How Businesses are using AI and Machine Learning Today on December 9th at 10:00 am CT as part of the company's Solve Strategy Series.
Jeremy Howard, data scientist, researcher, educator and founder of fast.ai, will deliver a keynote on the top capabilities and constraints of artificial intelligence (AI) and machine learning (ML), including examples of successful applications and requirements to effectively put the technology into practice. He will then be joined by industry experts from Salesforce and Rackspace Technology for a panel discussion on how today's enterprises are using AI/ML in new and innovative ways.
"As more businesses aim to adopt artificial intelligence and machine learning technology, many of them are beginning to realize a critical skills gap when implementing the technology," said Howard. "Fortunately, with the right partners and strategy in place, businesses can fully take advantage of the benefits the technology has to offer without needing established expertise on staff. This event will be a great first step in equipping enterprises with a roadmap to AI/ML success."
For many enterprises, the pandemic has accelerated the need for enhanced product offerings, improved business efficiency and the ability to anticipate customer behavior. Enter artificial intelligence and machine learning — technologies with the power to help organizations leverage their data to make automated recommendations, take preemptive action and streamline decision-making. But without the required technical skills and business processes, organizations will run into a number of challenges that will minimize the value of their AI/ML implementation. In fact, a recent Gartner survey found that lack of skills on staff and understanding of the technology's benefits are among the top challenges of AI/ML adoption.
"Although the pandemic has catalyzed the need for AI/ML adoption, its value will continue to increase in the coming years," said Jeff DeVerter, CTO, Solutions at Rackspace Technology and webinar moderator. "The virtual event, with comprehensive insights from industry leaders like Salesforce, Rackspace and Jeremy Howard, will further uncover how enterprises can capitalize on their data by using leading cloud-native AI/ML frameworks. Together, we're proud to support some of the world's leading organizations through every step in their AI/ML journeys."
The How Businesses are using AI and Machine Learning Today webinar will include a 10-minute keynote speech and 20-minute panel discussion with industry experts:Keynote:
Jeremy Howard, data scientist, researcher educator and founder of fast.ai
Moderator:
Jeff DeVerter, CTO, Solutions at Rackspace Technology
Panelists:
Peter Coffee, VP of Strategic Research at Salesforce
Eric Miller, Sr Director of Technology Strategy at Rackspace Technology
Mark McQuade, Practice Manager, Data Science at Rackspace Technology
To register for the How Businesses are using AI and Machine Learning Today webinar, please visit: https://www.rackspace.com/solve/solve-strategy-series
About Rackspace Technology
Rackspace Technology is a leading end-to-end multicloud technology services company. We can design, build and operate our customers' cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products and adopt innovative technologies.
Media ContactNatalie SilvaRackspace Corporate [email protected]
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/dd2356fc-7b1a-4a27-b2b1-5ca76484ce61
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Rackspace Technology Announces New Solve Strategy Series Webinar: How Businesses are using AI and Machine Learning Today
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Rackspace Technology Announces New Solve Strategy Series Webinar: How Businesses AI Machine Learning Today Benzinga Data APIs Events Cannabis Marketfy Premarket Prep Create free account Already account? Name: Email Address: Password: Leave blank: By creating account, agree acknowledge . Log account Email Address: Password: Forgot password? Dont Benzinga account? Create 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 Fintech InvestingBest Online Brokers Personal Finance Compare Brokers Webull Binary Options Review eToro eOption Review Interactive Brokers Review Personal Capital Review Suretrader Review TD Ameritrade Review Tradestation Review YewnoEdge Review Masterworks Review Best Penny Stocks Cannabis EducationEducation News Forex Trading InFOCUS Newsletter Online Investing Options Trading Practice Simulator Premium Market Overview TickersArticlesKeywords keyword...googlecse Rackspace Technology Announces New Solve Strategy Series Webinar: How Businesses AI Machine Learning Today Globe Newswire following ? Following : Follow November 30, 2020 11:00am Comments Share: SAN ANTONIO, Nov. 30, 2020 GLOBE NEWSWIRE Rackspace Technology NASDAQ:RXT, leading endtoend multicloud technology solutions company, hold virtual event How Businesses AI Machine Learning Today December 9th 10:00 CT companys Solve Strategy Series. Jeremy Howard, data scientist, researcher, educator founder fast.ai, deliver keynote capabilities constraints artificial intelligence AI machine learning ML, including examples successful applications requirements effectively technology practice. He joined industry experts Salesforce Rackspace Technology panel discussion todays enterprises AIML new innovative ways. As businesses aim adopt artificial intelligence machine learning technology, beginning realize critical skills gap implementing technology, said Howard. Fortunately, right partners strategy place, businesses fully advantage benefits technology offer needing established expertise staff. This event great step equipping enterprises roadmap AIML success. For enterprises, pandemic accelerated need enhanced product offerings, improved business efficiency ability anticipate customer behavior. Enter artificial intelligence machine learning technologies power help organizations leverage data automated recommendations, preemptive action streamline decisionmaking. But required technical skills business processes, organizations run number challenges minimize value AIML implementation. In fact, recent Gartner survey lack skills staff understanding technologys benefits challenges AIML adoption. Although pandemic catalyzed need AIML adoption, value continue increase coming years, said Jeff DeVerter, CTO, Solutions Rackspace Technology webinar moderator. The virtual event, comprehensive insights industry leaders like Salesforce, Rackspace Jeremy Howard, uncover enterprises capitalize data leading cloudnative AIML frameworks. Together, proud support worlds leading organizations step AIML journeys. The How Businesses AI Machine Learning Today webinar include 10minute keynote speech 20minute panel discussion industry experts:Keynote: Jeremy Howard, data scientist, researcher educator founder fast.ai Moderator: Jeff DeVerter, CTO, Solutions Rackspace Technology Panelists: Peter Coffee, VP Strategic Research Salesforce Eric Miller, Sr Director Technology Strategy Rackspace Technology Mark McQuade, Practice Manager, Data Science Rackspace Technology To register How Businesses AI Machine Learning Today webinar, visit: About Rackspace Technology Rackspace Technology leading endtoend multicloud technology services company. We design, build operate customers cloud environments major technology platforms, irrespective technology stack deployment model. We partner customers stage cloud journey, enabling modernize applications, build new products adopt innovative technologies. Media Natalie SilvaRackspace Corporate Communicationspublicrelations A photo accompanying announcement available View Comments Join Discussion View discussion thread. Need newswire data? Click licensing options. Dont Miss Any Updates News Directly Your Inbox to: Benzinga Premarket Activity Get premarket outlook, midday update aftermarket roundup emails inbox. Market 5 Minutes Everything need know market quick easy. Fintech Focus A daily collection things fintech, interesting developments market updates. 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(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.)
Ying Xu, University of Michigan
(THE CONVERSATION) The Research Brief is a short take about interesting academic work.
The big idea
When the main character of a kids TV show can both listen and respond to viewers by using advances in artificial intelligence, youngsters learn more from the program. That’s what my colleagues and I found in a series of peer-reviewed studies.
We are partnering with PBS Kids to incorporate conversational AI like Siri or Alexa into a popular science show for preschool-aged children called “Elinor Wonders Why.”
In the interactive version we created, the main character, a curious bunny named Elinor, poses questions to children. She then listens to their responses and replies with feedback specific to their answers, or provides additional clues when needed.
For example, in an episode about liquid thickness – or viscosity – Elinor and her friends try to get ketchup out of a bottle by shaking and squeezing it, but the ketchup remains stuck inside. Elinor turns to the viewer and asks, “Why do you think the ketchup isn’t coming out?” Many of the kids in our study simply reiterated the problem by saying, “It’s stuck,” without answering why. In this case, Elinor follows up by asking, “Yeah, I wonder why the ketchup is stuck inside the bottle. Do you think it’s too goopy, or it’s too runny?”
More NewsONE CITIZEN'S OPINION: Speeding tickets taught me to work hardLETTER TO THE EDITOR: Thank you to Big Rapids students
We carried out several studies to test whether this interactive format indeed helps children learn more. In one study that we presented at the 2023 American Educational Research Association annual conference, we divided 240 children into three groups of 80. The first group watched the “Elinor Wonders Why” episodes in the interactive format we created. The second group watched the original broadcast without any questions or responses from Elinor. The third group watched a semi-interactive version similar to “Dora the Explorer,” where the main character asks a question, pauses as if she is listening and provides generic feedback. After the children watched the episodes, we assessed their understanding of the science concepts that were presented, including aerodynamics and reptile shedding.
We found that children who watched the fully interactive episodes answered 63% of the assessment questions correctly, compared with 56% for those who watched the noninteractive version. Children who watched the semi-interactive version performed in between, correctly answering 61% of the questions.
We also examined children’s responses to Elinor’s questions during video watching. We found that children watching the semi-interactive version quickly lost interest in responding to Elinor’s questions after they realized she could not comprehend their answers.
Why it matters
Children in the U.S. spend an average of nearly two hours per day watching TV or online videos, according to a national survey. While platforms like PBS Kids provide free educational TV programs, the educational benefits can be limited by the lack of interaction with the content. The semi-interactive technique currently used in shows like “Dora the Explorer” and “Mickey Mouse Clubhouse” is still in wide use, but our evidence shows it is less effective than the AI-based interactive programs because of the absence of responsive feedback from characters.
Recent advances in AI, particularly in speech technologies and interpreting language spoken by real humans, make it possible to enable true interactions between child viewers and children’s TV show characters. This could make watching TV a more active and engaging way for kids to learn science.
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What other research is being done
AI is being integrated into a range of media products, including e-books, smart toys and social robots. Meanwhile, advances in AI technology will likely increase its accuracy in processing children’s speech, and therefore enable more natural interactions between children and AI. At the same time, researchers are also studying the ethical use of AI in media for young children to ensure that content that is developed is both educational and safe.
What’s next
We are currently exploring the possibility of developing children’s TV show characters that can process bilingual children’s mixed usage of English and their native language during interactions. A study involving children who speak Spanish and English is in progress.
We also have plans to integrate AI into more PBS Kids shows, including an upcoming series called “Lyla in the Loop,” which highlights creative problem-solving for children ages 4-8.
This article is republished from The Conversation under a Creative Commons license. Read the original article here: https://theconversation.com/kids-cartoon-characters-that-use-ai-to-customize-responses-help-children-learn-204282.
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Written By Ying Xu
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Kids cartoon characters use AI customize responses help children learn Skip main content Turn refresh Currently Reading Kids cartoon characters use AI customize responses help children learn eEdition homeFormsNewslettersPuzzlesNewsCoronavirusLocal NewsHeroes UnmaskedState NewsSpecial SectionsSportsLocal SportsFerris SportsState SportsOpinionColumnsLetters EditorObituariesSubmit ObituaryCoronavirusCannabisPhotosWeatherPublic NoticesReal EstateArchivesClassifiedsAdvertiseEEditionr Services Most Popular The 10 Best Places Live Pennsylvania Ferris professor: Climate change domino effect Former Ferris standout agrees NFL contract Big Rapids woman handmolds magical accessories Michigan ghost towns: Altona started dam Lane closures taking place Big Rapids Shelter director overcomes challenges help homeless Home cooking: Coyote boys track team wins Reed City Invitational NewsKids cartoon characters use AI customize responses help children learnYing Xu,University MichiganMay 1, 2023 Facebook Twitter Email Comments The Conversation independent nonprofit source news, analysis commentary academic experts. Ying Xu, University Michigan THE CONVERSATION The Research Brief short interesting academic work. The big idea When main character kids TV listen respond viewers advances artificial intelligence, youngsters learn program. Thats colleagues I series peerreviewed studies. We partnering PBS Kids incorporate conversational AI like Siri Alexa popular science preschoolaged children called Elinor Wonders Why. In interactive version created, main character, curious bunny named Elinor, poses questions children. She listens responses replies feedback specific answers, provides additional clues needed. For example, episode liquid thickness viscosity Elinor friends try ketchup bottle shaking squeezing it, ketchup remains stuck inside. Elinor turns viewer asks, Why think ketchup isnt coming out? Many kids study simply reiterated problem saying, Its stuck, answering why. In case, Elinor follows asking, Yeah, I wonder ketchup stuck inside bottle. Do think goopy, runny? More NewsONE CITIZENS OPINION: Speeding tickets taught work hardLETTER TO THE EDITOR: Thank Big Rapids students We carried studies test interactive format helps children learn more. In study presented 2023 American Educational Research Association annual conference, divided 240 children groups 80. The group watched Elinor Wonders Why episodes interactive format created. The second group watched original broadcast questions responses Elinor. The group watched semiinteractive version similar Dora Explorer, main character asks question, pauses listening provides generic feedback. After children watched episodes, assessed understanding science concepts presented, including aerodynamics reptile shedding. We children watched fully interactive episodes answered 63 assessment questions correctly, compared 56 watched noninteractive version. Children watched semiinteractive version performed between, correctly answering 61 questions. We examined childrens responses Elinors questions video watching. We children watching semiinteractive version quickly lost responding Elinors questions realized comprehend answers. Why matters Children U.S. spend average nearly hours day watching TV online videos, according national survey. While platforms like PBS Kids provide free educational TV programs, educational benefits limited lack interaction content. The semiinteractive technique currently shows like Dora Explorer Mickey Mouse Clubhouse wide use, evidence shows effective AIbased interactive programs absence responsive feedback characters. Recent advances AI, particularly speech technologies interpreting language spoken real humans, possible enable true interactions child viewers childrens TV characters. This watching TV active engaging way kids learn science. Newsletters: Get local news delivered directly More News Ferris State students unwind finals Spring Fling Big Rapids woman handmolds magical accessories Ducks Unlimited installs wood duck nesting boxes What research AI integrated range media products, including ebooks, smart toys social robots. Meanwhile, advances AI technology likely increase accuracy processing childrens speech, enable natural interactions children AI. At time, researchers studying ethical use AI media young children ensure content developed educational safe. Whats We currently exploring possibility developing childrens TV characters process bilingual childrens mixed usage English native language interactions. A study involving children speak Spanish English progress. We plans integrate AI PBS Kids shows, including upcoming series called Lyla Loop, highlights creative problemsolving children ages 48. This article republished The Conversation Creative Commons license. Read original article here: Newsletters: Get local news delivered directly More News Ferris State students unwind finals Spring Fling Big Rapids woman handmolds magical accessories Ducks Unlimited installs wood duck nesting boxes Written By Ying Xu View Comments More News Shelter director overcomes challenges help homeless Nicole Alexander executive director Our Brothers Keeper years. Runners support MeCeola Childrens Council Family 5K Many runners raced raised awareness child abuse prevention BLOTTER: Child abuse investigation results arrest Mecosta County deputies report arresting man child abuse making warrant arrests... Ferris professor: Climate change domino effect Ferris State University professor Jennifer Johnson breaks complicated aspects climate... Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Careers Print Archives Customer Service Newsroom Advertise Connect eEdition Facebook Twitter 2023 Hearst Newspapers Michigan, .
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