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https://itbusinessnet.com/2022/09/aws-and-sk-telecom-collaborate-to-co-develop-computer-vision-ai-services/
| 2022-10-01T00:00:00 |
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AWS and SK Telecom Collaborate to Co-Develop Computer Vision AI Services – IT Business Net
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AWS and SK Telecom Collaborate to Co-Develop Computer Vision AI Services – IT Business Net
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AWS and SK Telecom Collaborate to Co-Develop Computer Vision AI Services
New services will make it easier for organizations to build and run computer vision applications at scale—at the edge, in the cloud, and on premises—to enhance productivity and operations
LAS VEGAS–(BUSINESS WIRE)–Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and SK Telecom, the information and communications technology arm of SK Group, the second largest conglomerate in Korea, today announced at Mobile World Congress (MWC) Las Vegas that the two companies will co-develop a new set of computer vision services. This collaboration aims to make it easier and more cost effective for customers to build, use, and scale computer vision applications, which enhance productivity, maintain equipment, and improve facility safety.
Computer vision technology streamlines extraction, analysis, and classification of single image or a sequence of images to help organizations gain insights. For example, computer vision can help improve quality assurance and operational efficiencies in agriculture, such as aiding in metadata extraction and image classification to evaluate crop health, and in manufacturing to proactively identify when equipment needs to be serviced. However, for most organizations, building processing systems that can identify and analyze relevant data points at scale can be costly and complex.
The new set of computer vision services will combine SK Telecom’s artificial intelligence (AI) models, trained on more than 10 years of anonymized video data, and AWS’s edge services, IoT, database, and storage capabilities. The combination gives organizations a secure and simple framework to build and develop their own tailored computer vision applications with the flexibility to process and analyze data at the edge, in the cloud, or on premises.
“We are delighted to collaborate with AWS to accelerate our pace toward becoming a global leader in AI,” said Ha Min-yong, chief development officer at SK Telecom. “By co-developing edge computer vision services that run on AWS, we can easily and quickly produce and deploy AI and machine learning-based applications to customers globally, helping them address their business needs and challenges.”
“The combination of SK Telecom’s extensive experience in AI, paired with the elasticity, scalability, and flexibility of AWS will help accelerate AI innovation for SK Telecom and their customers globally,” said Adolfo Hernandez, vice president and general manager of telecom industry at AWS. “Collaborations like this demonstrate how AWS can support communication service providers leverage their core expertise in new ways to deliver greater value to their customers.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 87 Availability Zones within 27 geographic regions, with announced plans for 21 more Availability Zones and seven more AWS Regions in Australia, Canada, India, Israel, New Zealand, Spain, and Switzerland. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.
About SK Telecom
SK Telecom has been leading the growth of the mobile industry since 1984. Now, it is taking customer experience to new heights by extending beyond connectivity. By placing AI at the core of its business, SK Telecom is rapidly transforming into an AI company. It is focusing on driving innovations in areas of telecommunications, media, AI, metaverse, cloud and connected intelligence to deliver greater value for both individuals and enterprises. For more information, please contact [email protected] or visit our LinkedIn page www.linkedin.com/company/sk-telecom.
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AWS and SK Telecom Collaborate to Co-Develop Computer Vision AI Services
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AWS SK Telecom Collaborate CoDevelop Computer Vision AI Services IT Business Net Skip content IT Business Net News IT Professionals Primary Menu IT Business Net About IT Business Net for: Home2022SeptemberAWS SK Telecom Collaborate CoDevelop Computer Vision AI Services Machine Learning News AWS SK Telecom Collaborate CoDevelop Computer Vision AI Services New services easier organizations build run vision applications scaleat edge, cloud, premisesto enhance productivity operations LAS VEGASBUSINESS WIREAmazon Web Services AWS, company NASDAQ: AMZN, SK Telecom, information communications technology arm SK Group, second largest conglomerate Korea, today announced Mobile World Congress MWC Las Vegas companies codevelop new set vision services. This collaboration aims easier cost effective customers build, use, scale vision applications, enhance productivity, maintain equipment, improve facility safety. Computer vision technology streamlines extraction, analysis, classification single image sequence images help organizations gain insights. For example, vision help improve quality assurance operational efficiencies agriculture, aiding metadata extraction image classification evaluate crop health, manufacturing proactively identify equipment needs serviced. However, organizations, building processing systems identify analyze relevant data points scale costly complex. The new set vision services combine SK Telecoms artificial intelligence AI models, trained 10 years anonymized video data, AWSs edge services, IoT, database, storage capabilities. The combination gives organizations secure simple framework build develop tailored vision applications flexibility process analyze data edge, cloud, premises. We delighted collaborate AWS accelerate pace global leader AI, said Ha Minyong, chief development officer SK Telecom. By codeveloping edge vision services run AWS, easily quickly produce deploy AI machine learningbased applications customers globally, helping address business needs challenges. The combination SK Telecoms extensive experience AI, paired elasticity, scalability, flexibility AWS help accelerate AI innovation SK Telecom customers globally, said Adolfo Hernandez, vice president general manager telecom industry AWS. Collaborations like demonstrate AWS support communication service providers leverage core expertise new ways deliver greater value customers. About Amazon Web Services For 15 years, Amazon Web Services worlds comprehensive broadly adopted cloud offering. AWS continually expanding services support virtually cloud workload, 200 fully featured services compute, storage, databases, networking, analytics, machine learning artificial intelligence AI, Internet Things IoT, mobile, security, hybrid, virtual augmented reality VR AR, media, application development, deployment, management 87 Availability Zones 27 geographic regions, announced plans 21 Availability Zones seven AWS Regions Australia, Canada, India, Israel, New Zealand, Spain, Switzerland. Millions customersincluding fastestgrowing startups, largest enterprises, leading government agenciestrust AWS power infrastructure, agile, lower costs. To learn AWS, visit aws.. About Amazon Amazon guided principles: customer obsession competitor focus, passion invention, commitment operational excellence, longterm thinking. Amazon strives Earths Most CustomerCentric Company, Earths Best Employer, Earths Safest Place Work. Customer reviews, 1Click shopping, personalized recommendations, Prime, Fulfillment Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, The Climate Pledge things pioneered Amazon. For information, visit follow About SK Telecom SK Telecom leading growth mobile industry 1984. Now, taking customer experience new heights extending connectivity. By placing AI core business, SK Telecom rapidly transforming AI company. It focusing driving innovations areas telecommunications, media, AI, metaverse, cloud connected intelligence deliver greater value individuals enterprises. For information, contact [emailprotected] visit LinkedIn , . Media Hotline [emailprotected] Continue Reading Previous Glancy Prongay Murray LLP, Leading Securities Fraud Law Firm, Announces Investigation Cantaloupe, . 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https://jamaica-gleaner.com/article/news/20230528/healthtech-role-ai-chatbots-healthcare-access-diagnosis-and-treatment
| 2023-05-28T00:00:00 |
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Health+Tech | The role of AI chatbots in healthcare access, diagnosis and treatment | News | Jamaica Gleaner
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Health+Tech | The role of AI chatbots in healthcare access, diagnosis and treatment | News | Jamaica Gleaner
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Health+Tech | The role of AI chatbots in healthcare access, diagnosis and treatment
Published:Sunday | May 28, 2023 | 12:19 AMPhotoVideo
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Chatbots in healthcare can be used primarily as a means of communication between patient and caregiver
Doug Halsall
1
2
There has been a lot of talk lately about artificial intelligence (AI) and the increased role it will play in the future of several industries, including healthcare. AI has for a long time been a part of healthcare but with the development of AI chatbots like ChatGPT, the incorporation of AI in everyday life as a routine part of work has taken on new meaning.
There is still much debate about whether that level of AI involvement is a good or a bad thing. I think it can be both if we don’t find a way to balance our efforts and expectations. There is no doubt in my mind, however, that there is a positive future in the use of AI chatbots in the healthcare industry.
The concept of the chatbot is similar to computer vision but with more advanced application. This is a multibillion-dollar industry that is going to have more and more future applications for industry in general, not just healthcare. We must therefore find the best way to use it to our benefit.
Globenewswire.com indicates that “the global chatbot market size is projected to be worth around US$4.9 billion by 2032 from valued at US$0.84 billion in 2022, and it is growing at a compound annual growth rate (CAGR) of 19.29 per cent from 2023 to 2032, according to a new study by Precedence Research.”
AI continues to be one of the fastest growing market segments where technology is concerned because of the wide range of use cases, and chatbots are becoming a large part of this growth.
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HELP WITH DIAGNOSIS AND TREATMENT
Computer vision, machine learning, and other algorithms are used to enable AI to interpret, predict,and carry out functions that humans would normally have to do, but with increased speed and efficiency. For example, computer vision has enabled the development of autonomous or self-driving vehicles. AI has always been useful in healthcare, and chatbots are set to revolutionise healthcare diagnosis and treatment.
In its simplest form, chatbots in healthcare can be used primarily as a means of communication between patient and caregiver, which saves time on both ends. Chatbots are currently used to assist with appointment scheduling, respond to routine patient questions, get information on medical facilities, chronic disease management and mental healthcare and set reminders for vaccinations and prescription refills, among other things. Chatbots are moving further now, allowing physicians and others to engage AI in more technical tasks.
A reliable medical AI chatbot could help with diagnosis and treatment as well as identify issues that may not be immediately apparent to physicians. This is done through computer learning and continuous updating of the technology with information for data analysis. As is the case with ChatGPT, the chatbot would provide detailed information and probable scenarios based on the questions fed into the software.
It is important to remember that the dataset that would be used in this process would be provided and updated by medical personnel who would need to ensure that the best available information is fed into the AI.
POSITIVE AND ENCOURAGING
An article that appeared in the PLOS digital health journal in February 2023 reported the findings of a group of researchers, who evaluated ChatGPT and its use in the field of medicine (Kung et al., 2023). They found that the chatbot was able to pass all three levels of the United States Medical Licensing Exams “without any specialized training or reinforcement”. In addition, the chatbot “demonstrated a high level of concordance and insight in its explanations. These results suggest that large language models may have the potential to assist with medical education, and potentially, clinical decision-making.”
This, even though ChatGPT is not a specialised medical AI chatbot. Medical AI chatbots would be programmed specifically for that purpose with the involvement of medical personnel. As the industry changes, so, too, would the information be updated to fit the requirements of the field.
The future of AI in healthcare in this respect is positive and encouraging. The AI will soon be capable of assisting with technical and rare diagnosis and providing treatment protocols for patients. This is not to say that there will be an AI takeover. The human element will still be important to ensure accuracy.
Doug Halsall is the chairman and CEO of Advanced Integrated Systems. Email feedback to [email protected] and [email protected]
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HealthTech The role AI chatbots healthcare access, diagnosis treatment News Jamaica Gleaner Skip main content Top Menu Mobile Apps eGleaner Now Kingston Sun May 28, 2023 Menu Main menuHomeLead StoriesNewsSportsEntertainmentBusinessLettersCommentaryHealthLifestyle Secondary Menu World News In Focus Auto Food Shipping Art Leisure Classifieds Commerce Flair Jobs Podcast Puzzles Mobile version feed Join Facebook Follow Twitter HealthTech The role AI chatbots healthcare access, diagnosis treatment Published:Sunday May 28, 2023 12:19 AMPhotoVideo Previous Pause Next Chatbots healthcare primarily means communication patient caregiver Doug Halsall 1 2 There lot talk lately artificial intelligence AI increased role play future industries, including healthcare. AI long time healthcare development AI chatbots like ChatGPT, incorporation AI everyday life routine work taken new meaning. There debate level AI involvement good bad thing. I think dont way balance efforts expectations. There doubt mind, however, positive future use AI chatbots healthcare industry. The concept chatbot similar vision advanced application. This multibilliondollar industry going future applications industry general, healthcare. We best way use benefit. indicates global chatbot market size projected worth US4.9 billion 2032 valued US0.84 billion 2022, growing compound annual growth rate CAGR 19.29 cent 2023 2032, according new study Precedence Research. AI continues fastest growing market segments technology concerned wide range use cases, chatbots large growth. Headlines Delivered Your Inbox Sign The Gleaners morning evening newsletters. HELP WITH DIAGNOSIS AND TREATMENT Computer vision, machine learning, algorithms enable AI interpret, predict,and carry functions humans normally do, increased speed efficiency. For example, vision enabled development autonomous selfdriving vehicles. AI useful healthcare, chatbots set revolutionise healthcare diagnosis treatment. In simplest form, chatbots healthcare primarily means communication patient caregiver, saves time ends. Chatbots currently assist appointment scheduling, respond routine patient questions, information medical facilities, chronic disease management mental healthcare set reminders vaccinations prescription refills, things. Chatbots moving now, allowing physicians engage AI technical tasks. A reliable medical AI chatbot help diagnosis treatment identify issues immediately apparent physicians. This learning continuous updating technology information data analysis. As case ChatGPT, chatbot provide detailed information probable scenarios based questions fed software. It important remember dataset process provided updated medical personnel need ensure best available information fed AI. POSITIVE AND ENCOURAGING An article appeared PLOS digital health journal February 2023 reported findings group researchers, evaluated ChatGPT use field medicine Kung et al., 2023. They chatbot able pass levels United States Medical Licensing Exams specialized training reinforcement. In addition, chatbot demonstrated high level concordance insight explanations. These results suggest large language models potential assist medical education, potentially, clinical decisionmaking. This, ChatGPT specialised medical AI chatbot. Medical AI chatbots programmed specifically purpose involvement medical personnel. As industry changes, so, too, information updated fit requirements field. The future AI healthcare respect positive encouraging. The AI soon capable assisting technical rare diagnosis providing treatment protocols patients. This AI takeover. The human element important ensure accuracy. Doug Halsall chairman CEO Advanced Integrated Systems. Email feedback doug.halsall editorial Vatican sets observatory investigate claims Virgin Mary apparitions Falmouth Methodist Church marks 230th anniversary View discussion thread. 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https://jimmyspost.com/forget-human-extinction-these-are-the-real-risks-posed-by-ai-today
| 2023-07-26T00:00:00 |
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Forget human extinction – these are the real risks posed by AI today - Jimmys Post
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Forget human extinction – these are the real risks posed by AI today - Jimmys Post
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Forget human extinction – these are the real risks posed by AI today
July 25, 2023 by Jimmys Post
Erik McGregor/LightRocket via Getty Images
The alarm bells have been rung. In May, computer scientist Geoffrey Hinton, known as the “godfather of AI”, quit his role at Google to warn of the “existential threat” posed by artificial intelligence. The Center for AI Safety followed up with an open letter, signed by Hinton and hundreds of others, warning that advanced AI could destroy humanity. “Mitigating the risk of extinction from AI should be a global priority,” read the statement.
This sudden surge of concern seems to have been motivated by the rapid advance of AI-powered chatbots like ChatGPT and the race to build more powerful systems. The fear is that the tech industry is recklessly accelerating the escalation of AI’s capabilities. All of which sounds scary.
But the warnings are also suspiciously vague. When you scrutinise the scenarios typically put forward for precisely how AI could wipe out humans, it is hard to avoid the conclusion that such fears aren’t well-founded. Many experts are instead warning that fretting over long-term doomsday scenarios is a distraction from the immediate risks posed by existing AIs.
Generally, the people who talk about existential risks reckon that we are on a trajectory towards artificial general intelligence (AGI), roughly defined as machines that can out-think humans. They predict that people will invest advanced AIs with more autonomy, giving them access to vital infrastructure, such as the power grid or financial markets, or even putting them at the forefront of warfare – at which point they could go rogue or otherwise resist our attempts to control them.
But it remains to be seen if AIs will ever reach the kind of super-intelligence …
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Forget human extinction
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Forget human extinction real risks posed AI today Jimmys Post Skip content Jimmys Post Menu Tech Advertising Artificial Intelligence Internet Marketing Blog Forget human extinction real risks posed AI today July 25, 2023 Jimmys Post Erik McGregorLightRocket Getty Images The alarm bells rung. In May, scientist Geoffrey Hinton, known godfather AI, quit role Google warn existential threat posed artificial intelligence. The Center AI Safety followed open letter, signed Hinton hundreds others, warning advanced AI destroy humanity. Mitigating risk extinction AI global priority, read statement. This sudden surge concern motivated rapid advance AIpowered chatbots like ChatGPT race build powerful systems. The fear tech industry recklessly accelerating escalation AIs capabilities. All sounds scary. But warnings suspiciously vague. When scrutinise scenarios typically forward precisely AI wipe humans, hard avoid conclusion fears arent wellfounded. Many experts instead warning fretting longterm doomsday scenarios distraction immediate risks posed existing AIs. Generally, people talk existential risks reckon trajectory artificial general intelligence AGI, roughly defined machines outthink humans. They predict people invest advanced AIs autonomy, giving access vital infrastructure, power grid financial markets, putting forefront warfare point rogue resist attempts control them. But remains seen AIs reach kind superintelligence Source link Share this:TwitterFacebookMoreLinkedInWhatsAppEmail Related Categories Latest News Leave Comment Cancel replyCommentName Email Website Save name, email, website browser time I comment. Policy Us 2023 Jimmys Post. . for:
| 2,023 |
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https://jimmyspost.com/gen-ai-startup-sosha-launches-new-partnership-with-pr-newswire-to-power-organic-social-media-engagement-on-press-releases
| 2023-09-20T00:00:00 |
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Gen AI Startup, SoSha, Launches New Partnership with PR Newswire to Power Organic Social Media Engagement on Press Releases - Jimmys Post
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Gen AI Startup, SoSha, Launches New Partnership with PR Newswire to Power Organic Social Media Engagement on Press Releases - Jimmys Post
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Gen AI Startup, SoSha, Launches New Partnership with PR Newswire to Power Organic Social Media Engagement on Press Releases
September 20, 2023 by Jimmys Post
NEW YORK, Sept. 20, 2023 /PRNewswire/ — SoSha announced the first-of-its kind collaboration with PR Newswire in the launch of SocialBoost, a game-changing social media amplification tool designed to boost the organic reach and sharing of press releases.
“We welcome this partnership with PR Newswire, the industry leader in press release distribution, as an opportunity to roll out a powerful social sharing solution carefully designed to meet the specific needs of public relations professionals,”, said Tudor Mihailescu, the cofounder and CEO of SoSha (previously SpeechifAI) – a Software as a Service (SaaS), AI-augmented social media sharing startup.
Social media has become the most used marketing channel for companies across all industries. However, according to a GDS survey, senior marketing executives report that getting content seen in a saturated environment is among their top challenges. With SocialBoost, PR Newswire customers can now more easily break through the online noise by leveraging the social clout of their trusted communities (employees, customers, readers) in organic social media amplification campaigns around their press release content.
The new offering, available to all PR Newswire US customers since September 13th, allows organizations to create a social share toolkit with suggested social media copy embedded in the format of their press release as a way of empowering readers to effortlessly share their news across major social networks, with potential to drive up to 100x higher social engagement.
“PR Newswire is committed to continuously delivering market-leading solutions to our clients,” said Nicole Guillot, Cision’s COO and President of PR Newswire. “Through our strategic partnership with SoSha we’re providing PRN customers with a uniquely differentiated social amplification solution that will ensure our clients’ message is seen and accurately tracked across all available channels. With SocialBoost, PR Newswire and SoSha empower organizations and companies to amplify their news by making social sharing easy and engaging for their audience.”
“SocialBoost is a game changer for the news release,” emphasized Danny Selnick, a SoSha advisor and 35-year veteran of the newswire industry. “This innovative technology is a must-have for communicators who understand the need for and the power of social media engagement, and SocialBoost makes it amazingly easy to do and with results to show.”
PR Newswire customers are already providing positive reviews. One Fortune 50 customer reported increased social sharing on their press releases by 1900% and press release visits by 30% when using SocialBoost.
“We’ve been seeing a growing trend where marketers are looking to diversify sources of online traffic away from paid ads. Providing measurable analytics and an effective way to increase content engagement through Generative AI is a compelling argument that organic social is a reliable alternative,” explained Mihailescu.
SoSha is heralding the strategic partnership with PR Newswire as a further catalyst for their accelerated growth into a leading provider of SaaS services for AI-augmented social media amplification at the intersection of embeddable social sharing and employee/social advocacy. Launched four years ago, SoSha’s mission is to bridge the worlds of social media and Generative AI as a reflection of the founders’ unique background.
About SoSha
SoSha is an NYC-based startup developing AI-augmented social media sharing technology. Their platform combines embeddable social share toolkits, advanced analytics, and Generative AI content creation to help marketers run organic social media amplification campaigns as a reliable and effective alternative to digital advertising solutions. Since launching in September 2019, SoSha has enabled more than 500 companies and organizations to drive organic engagement worth an estimated $40 million in marketing value through more than 700,000 user generated social media posts about press releases, events, job applications, fundraising and petition campaigns and other digital marketing use cases.
Tudor Mihailescu, SoSha Cofounder and CEO is a Forbes Europe 30 under 30 alumnus with a background in social networking and a PhD in language analysis. Valentin Kassarnig, SoSha’s cofounder and CTO, is a software engineer and AI researcher who pioneered Generative AI algorithms for speechwriting way back in 2016 with a project that was among the first to capture the general public’s imagination about the promises of this new technology in the language generation space.
About PR Newswire
For more than 65 years, PR Newswire has been the industry leader with the largest, most comprehensive distribution network of print, radio, magazine, television stations, financial portals and trade publications. PR Newswire has an unparalleled global reach of more than 440,000 newsrooms, websites, direct feeds, journalists and influencers and is available in more than 170 countries and 40 languages.
View original content to download multimedia:https://www.prnewswire.com/news-releases/gen-ai-startup-sosha-launches-new-partnership-with-pr-newswire-to-power-organic-social-media-engagement-on-press-releases-301933505.html
SOURCE SoSha
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Gen AI Startup, SoSha, Launches New Partnership with PR Newswire to Power Organic Social Media Engagement on Press Releases
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Gen AI Startup, SoSha, Launches New Partnership PR Newswire Power Organic Social Media Engagement Press Releases Jimmys Post Skip content Jimmys Post Menu Tech Advertising Artificial Intelligence Internet Marketing Blog Gen AI Startup, SoSha, Launches New Partnership PR Newswire Power Organic Social Media Engagement Press Releases September 20, 2023 Jimmys Post NEW YORK, Sept. 20, 2023 PRNewswire SoSha announced firstofits kind collaboration PR Newswire launch SocialBoost, gamechanging social media amplification tool designed boost organic reach sharing press releases. We welcome partnership PR Newswire, industry leader press release distribution, opportunity roll powerful social sharing solution carefully designed meet specific needs public relations professionals,, said Tudor Mihailescu, cofounder CEO SoSha previously SpeechifAI Software Service SaaS, AIaugmented social media sharing startup. Social media marketing channel companies industries. However, according GDS survey, senior marketing executives report getting content seen saturated environment challenges. With SocialBoost, PR Newswire customers easily break online noise leveraging social clout trusted communities employees, customers, readers organic social media amplification campaigns press release content. The new offering, available PR Newswire US customers September 13th, allows organizations create social share toolkit suggested social media copy embedded format press release way empowering readers effortlessly share news major social networks, potential drive 100x higher social engagement. PR Newswire committed continuously delivering marketleading solutions clients, said Nicole Guillot, Cisions COO President PR Newswire. Through strategic partnership SoSha providing PRN customers uniquely differentiated social amplification solution ensure clients message seen accurately tracked available channels. With SocialBoost, PR Newswire SoSha empower organizations companies amplify news making social sharing easy engaging audience. SocialBoost game changer news release, emphasized Danny Selnick, SoSha advisor 35year veteran newswire industry. This innovative technology musthave communicators understand need power social media engagement, SocialBoost makes amazingly easy results show. PR Newswire customers providing positive reviews. One Fortune 50 customer reported increased social sharing press releases 1900 press release visits 30 SocialBoost. Weve seeing growing trend marketers looking diversify sources online traffic away paid ads. Providing measurable analytics effective way increase content engagement Generative AI compelling argument organic social reliable alternative, explained Mihailescu. SoSha heralding strategic partnership PR Newswire catalyst accelerated growth leadingprovider SaaS services AIaugmented social media amplification intersection embeddable social sharing employeesocial advocacy. Launched years ago, SoShas mission bridge worlds social media Generative AI reflection founders unique background. About SoSha SoSha NYCbased startup developing AIaugmented social media sharing technology. Their platform combines embeddable social share toolkits, advanced analytics, Generative AI content creation help marketers run organic social media amplification campaigns reliable effective alternative digital advertising solutions. Since launching September 2019, SoSha enabled 500 companies organizations drive organic engagement worth estimated 40 million marketing value 700,000 user generated social media posts press releases, events, job applications, fundraising petition campaigns digital marketing use cases. Tudor Mihailescu, SoSha Cofounder CEO Forbes Europe 30 30 alumnus background social networking PhD language analysis. Valentin Kassarnig, SoShas cofounder CTO, software engineer AI researcher pioneered Generative AI algorithms speechwriting way 2016 project capture general publics imagination promises new technology language generation space. About PR Newswire For 65 years, PR Newswire industry leader largest, comprehensive distribution network print, radio, magazine, television stations, financial portals trade publications. PR Newswire unparalleled global reach 440,000 newsrooms, websites, direct feeds, journalists influencers available 170 countries 40 languages. View original content download multimedia: SOURCE SoSha Share this:TwitterFacebookMoreLinkedInWhatsAppEmail Related Categories Advertising Leave Comment Cancel replyCommentName Email Website Save name, email, website browser time I comment. Policy Us 2023 Jimmys Post. . for:
| 2,023 |
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https://jimmyspost.com/nvidia-canvas-uses-gaugan2-ai-model-to-achieve-4x-resolution-boost
| 2022-01-06T00:00:00 |
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Nvidia Canvas uses GauGAN2 AI model to achieve 4x resolution boost - Jimmys Post
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Nvidia Canvas uses GauGAN2 AI model to achieve 4x resolution boost - Jimmys Post
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Jimmys PostTech and AI News
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January 5, 2022
Nvidia Canvas uses GauGAN2 AI model to achieve 4x resolution boost
Nvidia has updated its Canvas real-time painting tool with a new AI model based on GauGAN2 research to achieve a 4x resolution boost.
Canvas enables artists to turn simple brushstrokes into realistic landscapes filled with materials including water, grass, snow, mountains, and more. The idea is that concepts can be turned into final versions far quicker than ever before.
The free software, which is still in beta, is the perfect example of how AI complements and enhances human abilities rather than replaces.
Canvas’ latest update achieves close to photorealism with greater definition and fewer artifacts:
The software delivers images in up to 1K pixel resolution and the results can be exported to apps like Adobe Photoshop to integrate with an artist’s existing workflow.
GauGAN2 powers the new experience and was introduced in November 2021 with a demo of how it can generate a photorealistic image using just a simple written phrase:
GauGAN2 combines segmentation mapping, inpainting, and text-to-image generation in a single model. It was trained on 10 million high-quality landscape images using the NVIDIA Selene supercomputer—one of the world’s top 10 most powerful.
Five new materials have also been added as part of the latest update: flowers, straw, mud, dirt, and bushes.
(Imagery Credit: Nvidia)
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo. The next events in the series will be held in Santa Clara on 11-12 May 2022, Amsterdam on 20-21 September 2022, and London on 1-2 December 2022.
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Nvidia Canvas uses GauGAN2 AI model achieve 4x resolution boost Jimmys Post Skip content Jimmys PostTech AI News Tech Advertising Artificial Intelligence Internet Marketing Reviews Blog Latest News January 5, 2022 Nvidia Canvas uses GauGAN2 AI model achieve 4x resolution boost Nvidia updated Canvas realtime painting tool new AI model based GauGAN2 research achieve 4x resolution boost. Canvas enables artists turn simple brushstrokes realistic landscapes filled materials including water, grass, snow, mountains, more. The idea concepts turned final versions far quicker before. The free software, beta, perfect example AI complements enhances human abilities replaces. Canvas latest update achieves close photorealism greater definition fewer artifacts: The software delivers images 1K pixel resolution results exported apps like Adobe Photoshop integrate artists existing workflow. GauGAN2 powers new experience introduced November 2021 demo generate photorealistic image simple written phrase: GauGAN2 combines segmentation mapping, inpainting, texttoimage generation single model. It trained 10 million highquality landscape images NVIDIA Selene supercomputerone worlds 10 powerful. Five new materials added latest update: flowers, straw, mud, dirt, bushes. Imagery Credit: Nvidia Want learn AI big data industry leaders? Check AI Big Data Expo. The events series held Santa Clara 1112 May 2022, Amsterdam 2021 September 2022, London 12 December 2022. Tags: ai, art, artificial intelligence, canvas, gaugan2, Nvidia, nvidia canvas Source link Share this:TwitterFacebookMoreLinkedInWhatsAppEmail Related Jimmys Post 0 Post navigation New Privacy DEX, FairySwap Announcing Mainnet Launch Massive AirDropApple Watch ad shows people device real emergencies Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recent Posts Rise idences Urinary ontinence Help Global Pelvic Floor Electrical Stimulation Devices Market Expand CAGR 9.5 Forecast Period, Notes TMR Study TCL Electronics Seeks Build Smart Home Ecosystem Pursuing AI x IoT Development Strategy Full Range Products GreenPower Delivers Six BEAST School Buses Thermalito UESD GrowPath Choice Georgia Eminent Domain Law Firm Case Management Software Microsoft Hong Kong HKBN Enterprise Solutions join forces introduce bundled solutions enable enterprises leap hybrid work transformation Newsletter Now Policy Us 2022 Jimmys Post . . Powered WordPress Designed Bizberg Themes Send Email Address Your Name Your Email Address Cancel Post sent check email addresses Email check failed, try Sorry, blog share posts email.
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https://kesq.com/news/national-politics/cnn-us-politics/2023/05/02/the-ai-political-campaign-is-here/
| 2023-05-03T00:00:00 |
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The AI political campaign is here - KESQ
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The AI political campaign is here - KESQ
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CNN - US Politics
By CNN Newsource
Published
May 2, 2023
6:29 PM
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The AI political campaign is here
By Donie O’Sullivan and Yahya Abou-Ghazala, CNN
President Barack Obama’s 2008 election campaign has often been celebrated as the first to effectively use social media as a mobilization tool to capture the White House. In the 15 years since, the technology has gone from being a novel addition to a political campaign to transcending every aspect of one.
Now, a transformative and largely untested technology looks set to revolutionize political campaigning: artificial intelligence. But the computer-generated content, which blurs the line between fact and fiction, is raising concerns ahead of the 2024 presidential election.
The Republican National Committee threw down the gauntlet last week when it released a 30-second advertisement responding to President Joe Biden’s official announcement that he would seek reelection in 2024.
The ad, uploaded to YouTube, imagined a dystopian United States after the reelection of the 46th president, presenting stark images of migrants flooding across the US border, a city on lockdown with soldiers on the streets, and Chinese jets raining bombs on Taiwan.
But none of the foreboding images in the video were real — they were all created using AI technology.
Last week, CNN showed the ad to potential voters in Washington, DC. While some were able to identify that the images in it were fake, others were not. After watching scenes of heavily armed military personnel patrolling the streets of San Francisco during a lockdown sparked by surging crime and a “fentanyl crisis,” one person CNN spoke to was left wondering if the imagined episode had actually happened.
Therein lies the problem, said Hany Farid, a digital forensic expert and professor at the University of California, Berkeley.
Imagined realities and deceptive ads are nothing new in political campaigns. Lyndon B. Johnson’s 1964 presidential campaign brought forth the so-called “Daisy Girl” attack ad, which imagined a nuclear apocalypse were his opponent Barry Goldwater to win.
But AI muddies the waters much further, said Farid.
“We enter this world where anything can be fake — any image, any audio, any video, any piece of text. Nothing has to be real,” he said “We have what’s called a liar’s dividend, which is anybody can deny reality.”
Farid pointed to the infamous release of the “Access Hollywood” tape in the final days of the 2016 presidential campaign, in which Trump bragged in graphic terms about being able to sexually assault women. The footage led to the rare occasion when Trump has apologized for his actions. But now, he said, Trump could more easily claim the audio was faked.
Imran Ahmed, CEO of the Center for Countering Digital Hate, told CNN he didn’t think the RNC’s use of AI to illustrate a dark vision of America’s future was particularly troubling. But he expressed concern it could help open the way for more nefarious uses of the technology, like making it appear as if a politician said or did something they really hadn’t.
“We need a mutual disarmament, a nonproliferation treaty, when it comes to the use of generative AI by political parties because it makes a mockery of our democratic elections,” Ahmed said.
But while some Democrats mocked the RNC for using AI to imagine an apocalyptic world where Biden is reelected, there’s no indication Democrats will pledge not to use this technology themselves.
The breakneck pace of AI development has largely allowed its use to remain unregulated, but campaigns that do exploit the technology still must steer clear of some restrictions. Texas has a law on its books that places some limitations on the use of so-called deepfakes in the weeks leading up to an election.
Matthew Ferraro, a Washington-based cybersecurity lawyer who has been tracking how lawmakers are trying to catch up to this burgeoning technology, said time will tell if there will be any successful enforcement actions of these laws. But campaigns, he said, can for the most part avoid running afoul of legislation by adding a disclaimer to content that is created through AI.
The RNC ad released last week included the small on-screen disclaimer, “Built entirely with AI imagery.” The label was faint, however, and some of the people CNN showed the video to did not spot it on their first watch.
AI optimists will point out there are positive use cases for political campaigns. During the 2020 elections in India, one candidate’s video message was translated into multiple languages and dialects in an attempt to reach more voters.
AI is also being used by campaigns to sort through millions of data points in order to more effectively target voters.
“For an average donor, we know about 500 to 1,000 different things about you,” said Martin Kurucz, CEO of Sterling Data Company, which works with Democratic campaigns. “A lot of that is your political interests, your demographics, your income.”
Kurucz said to imagine a massive spreadsheet with millions of rows of voters and a thousand data points about each of them. “There is no human being that is able to synthesize” that information, he said, but AI can.
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
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The AI political campaign KESQ circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News California Crime Coachella Valley Questions Answered Education ITeam Investigations Neighborhood Heroes Salton Sea Project Stands You USWorld Weather Alerts Weather Cams Heat Alert Earthquake Alert First Alert Weather Alert Day Local Forecast Photo Galleries Weather Videos Sports Coachella Valley Firebirds Galleri Classic Scholar Athlete Week BNP Paribas Open LA Rams High School Football KUNA Noticias Clima Deportes Resultados las Elecciones La Poderosa Podcasts Regreso Clases Salton Sea: La Agona Paraso St. Jude Dream Home Gas Al Mejor Precio Programas Quienes Somos Your Vote CNN US Politics National Politics Politics Livestreams Videos Live Cams Livestream Special Coverage Livestream Newscasts Life St. Jude Dream Home Desert Chat Do The Right Thing House Home Healthy Living Mothers Day Water Wise Eye Desert Coachella Valley Spotlight Now Hiring One Class Time Events Entertainment Healthy Pets Your Money Shop Desert Experts Gas Gauge Play Contests Neighborhood Heroes Share Submit Tips, Pics Video Jobs Work KESQ Explore Local Jobs Intern KESQ Advertise Us Us KESQ Jobs Internships News Team TV Listings CW 5 Palm Springs FOX 11 Palm Springs Closed Captioning Information Download News Channel 3 News app FCC Public File 2022 EEO Report 2021 EEO Report 2020 EEO Report 2019 EEO Report Public File Help NewslettersAlerts Skip Content News Weather Sports KUNA Life Shop Play Share Watch Palm Springs 69 First Alert Forecast Staying breezy mild temperatures KESQ Breaking News Email Alerts Get Breaking News Alerts CNN US Politics By CNN Newsource Published May 2, 2023 6:29 PM Share FacebookShare Twitter Share Linkedin The AI political campaign By Donie OSullivan Yahya AbouGhazala, CNN President Barack Obamas 2008 election campaign celebrated effectively use social media mobilization tool capture White House. In 15 years since, technology gone novel addition political campaign transcending aspect one. Now, transformative largely untested technology looks set revolutionize political campaigning: artificial intelligence. But computergenerated content, blurs line fact fiction, raising concerns ahead 2024 presidential election. The Republican National Committee threw gauntlet week released 30second advertisement responding President Joe Bidens official announcement seek reelection 2024. The ad, uploaded YouTube, imagined dystopian United States reelection 46th president, presenting stark images migrants flooding US border, city lockdown soldiers streets, Chinese jets raining bombs Taiwan. But foreboding images video real created AI technology. Last week, CNN showed ad potential voters Washington, DC. While able identify images fake, not. After watching scenes heavily armed military personnel patrolling streets San Francisco lockdown sparked surging crime fentanyl crisis, person CNN spoke left wondering imagined episode actually happened. Therein lies problem, said Hany Farid, digital forensic expert professor University California, Berkeley. Imagined realities deceptive ads new political campaigns. Lyndon B. Johnsons 1964 presidential campaign brought forth socalled Daisy Girl attack ad, imagined nuclear apocalypse opponent Barry Goldwater win. But AI muddies waters further, said Farid. We enter world fake image, audio, video, piece text. Nothing real, said We whats called liars dividend, anybody deny reality. Farid pointed infamous release Access Hollywood tape final days 2016 presidential campaign, Trump bragged graphic terms able sexually assault women. The footage led rare occasion Trump apologized actions. But now, said, Trump easily claim audio faked. Imran Ahmed, CEO Center Countering Digital Hate, told CNN didnt think RNCs use AI illustrate dark vision Americas future particularly troubling. But expressed concern help open way nefarious uses technology, like making appear politician said hadnt. We need mutual disarmament, nonproliferation treaty, comes use generative AI political parties makes mockery democratic elections, Ahmed said. But Democrats mocked RNC AI imagine apocalyptic world Biden reelected, theres indication Democrats pledge use technology themselves. The breakneck pace AI development largely allowed use remain unregulated, campaigns exploit technology steer clear restrictions. Texas law books places limitations use socalled deepfakes weeks leading election. Matthew Ferraro, Washingtonbased cybersecurity lawyer tracking lawmakers trying catch burgeoning technology, said time tell successful enforcement actions laws. But campaigns, said, avoid running afoul legislation adding disclaimer content created AI. The RNC ad released week included small onscreen disclaimer, Built entirely AI imagery. The label faint, however, people CNN showed video spot watch. AI optimists point positive use cases political campaigns. During 2020 elections India, candidates video message translated multiple languages dialects attempt reach voters. AI campaigns sort millions data points order effectively target voters. For average donor, know 500 1,000 different things you, said Martin Kurucz, CEO Sterling Data Company, works Democratic campaigns. A lot political interests, demographics, income. Kurucz said imagine massive spreadsheet millions rows voters thousand data points them. There human able synthesize information, said, AI can. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . Article Topic Follows: CNN US Politics Jump comments CNN Newsource Related Articles First Alert Weather Alert: gusty conditions Valentines Day First Alert Weather Alert: Gusty winds bring road closures, impacts Coachella Valley First Alert Weather Alert: Flood Watch effect midnight Troubled Waters: The Salton Sea Project Part 1 Paradise Lost BE PART OF THE CONVERSATION News Channel 3 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. 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https://keyt.com/health/2023/05/25/a-new-antibiotic-discovered-with-artificial-intelligence-may-defeat-a-dangerous-superbug/
| 2023-05-26T00:00:00 |
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A new antibiotic, discovered with artificial intelligence, may defeat a dangerous superbug | News Channel 3-12
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A new antibiotic, discovered with artificial intelligence, may defeat a dangerous superbug | News Channel 3-12
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cnn-health
By CNN Newsource
Published
May 25, 2023
4:48 pm
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A new antibiotic, discovered with artificial intelligence, may defeat a dangerous superbug
By Brenda Goodman, CNN
(CNN) — Using artificial intelligence, researchers say, they’ve found a new type of antibiotic that works against a particularly menacing drug-resistant bacteria.
When they tested the antibiotic on the skin of mice that were experimentally infected with the superbug, it controlled the growth of the bacteria, suggesting that the method could be used to create antibiotics tailored to fight other drug-resistant pathogens.
What’s more, the compound identified by AI worked in a way that stymied only the problem pathogen. It didn’t seem to kill the many other species of beneficial bacteria that live in the gut or on the skin, making it a rare narrowly targeted agent.
If more antibiotics worked this precisely, the researchers said, it could prevent bacteria from becoming resistant in the first place.
The study was published in the journal Nature Chemical Biology.
“It’s incredibly promising,” said Dr. Cesar de la Fuente, an assistant professor at the University of Pennsylvania’s Perlman School of Medicine who is also using AI to find new treatments but was not involved in the new research.
De la Fuente says this type of approach to finding new drugs is an emerging field that researchers have been testing since about 2018. It dramatically cuts the time it takes to sort through thousands of promising compounds.
“I think AI, as we’ve seen, can be applied successfully in many domains, and I think drug discovery is sort of the next frontier.”
For the study, researchers focused on the bacteria Actinetobacter baumanii. It hangs out in hospitals and other health care settings, clinging to surfaces like doorknobs and counters. Because it is able to grab bits of DNA from other organisms it comes into contact with, it can incorporate their best weapons: genes that help them resist agents doctors use to treat them.
“It’s what we call in the laboratory a professional pathogen,” said Jon Stokes, one of the researchers and an assistant professor of biochemistry and biomedical sciences at McMaster University in Hamilton, Ontario.
This species causes difficult-to-treat skin, blood or respiratory infections. The US Centers for Disease Control and Prevention said in 2019 that Acinetobacter baumanii infections were “of greatest need” for new types of antibiotics to treat them.
A recent study of hospital patients with Actinetobacter baumanii infections that were resistant even to powerful carbapenem antibiotics found that 1 in 4 had died within a month of their diagnosis.
For the new study, Stokes and lab teamed up with researchers from the Broad Institute at MIT and Harvard. First, they used a technique called high-throughput drug screening to grow Acinetobacter baumanii in lab dishes and spent weeks exposing these colonies to more than 7,500 agents: drugs and the active ingredients of drugs. They found 480 compounds that blocked the growth of the bacteria.
They fed that information into a computer and used it to train an artificial intelligence algorithm.
“Once we had our model trained, what we could do then is start showing that model brand-new pictures of chemicals that it had never seen, right? And based on what it had learned during training, it would predict for us whether those molecules were antibacterial or not,” Stokes said.
They then had the model screen more than 6,000 molecules, which Stokes said the AI was able to do over the course of a few hours.
They narrowed the search to 240 chemicals, which they tested in the lab. The lab testing helped them whittle the list to nine of the best inhibitors of the bacteria. From there, they took a closer look at the structure of each one, eliminating those they thought might be dangerous or related to known antibiotics.
They were left with one compound, called RS102895, which Stokes thinks had been originally developed as a potential treatment for diabetes.
He says it appears to work in a completely new way, by preventing components of the bacteria from traveling from inside the cell to its surface.
“It’s a rather interesting mechanism and one that is not observed amongst clinical antibiotics so far as I know,” he said.
What’s more, he said, RS102895 – which the researchers renamed abaucin – works only on Actinetobacter baumanii.
Stokes says most antibiotics are broad-spectrum agents, working against many species of bacteria. Broad-spectrum antibiotics put a lot of selection pressure on many types of bacteria, causing many to quickly evolve, and share, genes that help them resist the drug and survive.
“With this molecule, because it only works very potently against Actinetobacter, it doesn’t impose that universal selective pressure, so it’s not going to spread resistance quite as quick,” he said.
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
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A new antibiotic, discovered with artificial intelligence, may defeat a dangerous superbug
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A new antibiotic, discovered artificial intelligence, defeat dangerous superbug News Channel 312 circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News Santa Barbara County San Luis Obispo County Ventura County U.S. World Fires Crime Safety Whats Right News Channel 3 Investigates Weather Local Forecast Interactive Radar SkyCam Network Traffic Gas Prices Politics Be Mindful Sports High School Sports College Sports More Sports Friday Football Focus Newscasts Livestreams News Channel 312 Livestream Livestream Special Coverage Morning News Guest Segments SkyCam Network Life Events Calendar Your Money Latino Community Health Technology Entertainment SBIFF Holiday Turkey Drive Contests Share Shop Health Connections 805 Professionals Jobs Work For Us 805 Careers About Advertise Us Us Closed Captioning Download Our Apps EEO Public File Report FCC Public File How News Channel 12 Public File Help Jobs Internships Meet Team NewslettersAlerts TV Listings Skip Content News Weather Traffic Sports Life Shop Contests Share Watch Santa Barbara 63 Video Forecast A mild coast modestly warmer interior Friday Take mobile apps Breaking News Alerts cnnhealth By CNN Newsource Published May 25, 2023 4:48 pm Share FacebookShare Twitter Share Linkedin A new antibiotic, discovered artificial intelligence, defeat dangerous superbug By Brenda Goodman, CNN CNN Using artificial intelligence, researchers say, theyve new type antibiotic works particularly menacing drugresistant bacteria. When tested antibiotic skin mice experimentally infected superbug, controlled growth bacteria, suggesting method create antibiotics tailored fight drugresistant pathogens. Whats more, compound identified AI worked way stymied problem pathogen. It didnt kill species beneficial bacteria live gut skin, making rare narrowly targeted agent. If antibiotics worked precisely, researchers said, prevent bacteria resistant place. The study published journal Nature Chemical Biology. Its incredibly promising, said Dr. Cesar la Fuente, assistant professor University Pennsylvanias Perlman School Medicine AI new treatments involved new research. De la Fuente says type approach finding new drugs emerging field researchers testing 2018. It dramatically cuts time takes sort thousands promising compounds. I think AI, weve seen, applied successfully domains, I think drug discovery sort frontier. For study, researchers focused bacteria Actinetobacter baumanii. It hangs hospitals health care settings, clinging surfaces like doorknobs counters. Because able grab bits DNA organisms comes contact with, incorporate best weapons: genes help resist agents doctors use treat them. Its laboratory professional pathogen, said Jon Stokes, researchers assistant professor biochemistry biomedical sciences McMaster University Hamilton, Ontario. This species causes difficulttotreat skin, blood respiratory infections. The US Centers Disease Control Prevention said 2019 Acinetobacter baumanii infections greatest need new types antibiotics treat them. A recent study hospital patients Actinetobacter baumanii infections resistant powerful carbapenem antibiotics 1 4 died month diagnosis. For new study, Stokes lab teamed researchers Broad Institute MIT Harvard. First, technique called highthroughput drug screening grow Acinetobacter baumanii lab dishes spent weeks exposing colonies 7,500 agents: drugs active ingredients drugs. They 480 compounds blocked growth bacteria. They fed information train artificial intelligence algorithm. Once model trained, start showing model brandnew pictures chemicals seen, right? And based learned training, predict molecules antibacterial not, Stokes said. They model screen 6,000 molecules, Stokes said AI able course hours. They narrowed search 240 chemicals, tested lab. The lab testing helped whittle list best inhibitors bacteria. From there, took closer look structure one, eliminating thought dangerous related known antibiotics. They left compound, called RS102895, Stokes thinks originally developed potential treatment diabetes. He says appears work completely new way, preventing components bacteria traveling inside cell surface. Its interesting mechanism observed clinical antibiotics far I know, said. Whats more, said, RS102895 researchers renamed abaucin works Actinetobacter baumanii. Stokes says antibiotics broadspectrum agents, working species bacteria. Broadspectrum antibiotics lot selection pressure types bacteria, causing quickly evolve, share, genes help resist drug survive. With molecule, works potently Actinetobacter, doesnt impose universal selective pressure, going spread resistance quick, said. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . Share FacebookShare TwitterShare Linkedin Article Topic Follows: cnnhealth cnncnn healthKEYTnational Jump comments CNN Newsource Related Articles Be Mindful: Start conversation New Jersey police officer authorities shot killed 911 caller charged manslaughter At 10 South Carolina students hospitalized school bus crashed tanker truck, officials GOP field Pennsylvania Senate race wide open hardright state lawmaker says wont run BE PART OF THE CONVERSATION News Channel 312 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. 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https://krdo.com/money/cnn-business-consumer/2023/04/26/google-and-microsoft-fight-over-the-future-of-ai/
| 2023-04-26T00:00:00 |
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Google and Microsoft fight over the future of AI | KRDO
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Google and Microsoft fight over the future of AI | KRDO
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CNN - Business/Consumer
By CNN Newssource
Published
April 26, 2023
12:09 PM
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Google and Microsoft fight over the future of AI
GoogleGoogle began rolling out its ChatGPT rival
By Nicole Goodkind, CNN
Wall Street was able to breathe a sigh of relief on Tuesday as Google-parent company Alphabet and Microsoft both beat the market’s relatively modest earnings expectations. The companies saw big boosts from their search and cloud computing businesses.
After a disastrous year for both stocks, the shares rebounded strongly in the first quarter.
And so, with immediate concerns out of the way, executives at Microsoft and Alphabet focused their remarks during earnings calls on what excites them most: Artificial intelligence.
Microsoft, Google and a number of smaller rivals are in a race to integrate generative artificial intelligence technology (similar to ChatGPT) into their search functions and other applications.
Both companies see it as an integral part of their future, but it was apparent on Tuesday that Microsoft and Google aren’t in agreement about what that future will look like.
Analysts have expressed worry that Google is falling behind the competition when it comes to AI innovation. In March, Google introduced an AI chatbot named Bard, which met mixed reviews.
Google’s search engine has dominated the market for two decades, with Microsoft’s Bing struggling to gain market share. But the viral success of ChatGPT, which can generate compelling written responses to user prompts, appeared to put Google on defense for the first time in years.
Microsoft has invested in and partnered with OpenAI, the company behind ChatGPT, to deploy similar technology in Bing and other productivity tools.
Google CEO Sundar Pichai told analysts on his earnings call Tuesday that artificial intelligence marks a massive potential opportunity for the company, comparing it to the “successful transformation we made from desktop to mobile computing a decade ago.”
He said the company plans to integrate comparable generative AI tools into its search and cloud operations, but struck a balanced tone. “Throughout the years, we have gone through many, many shifts in search,” he said.
Pichai also hinted at concerns about the potential for generative AI tools to spread false information.
“We know that billions of people trust Google to provide the right information,” he said.
Microsoft CEO Satya Nadella, meanwhile, was more effusive about the future of AI in an earnings call Tuesday, telling analysts that he sees AI as a tool that will revolutionize the way people search online.
Nadella said that app installations for Bing have gone up four-fold since it became AI-powered this February. “We look forward to continuing this journey in what is a generational shift in the largest software category — search,” he said.
Shares of Microsoft were up about 8.5% in after hours trading on Tuesday. Shares of Alphabet were up 1.7%.
The numbers: Microsoft posted quarterly net income of $18.3 billion, up 9% year-over-year, and far exceeding expectations. The company also posted sales of $52.9 billion, up 7%.
Alphabet on Tuesday reported that profits fell slightly from the year-ago quarter to nearly $15.1 billion, or $1.17 per share, but still beat expectations. It was also much improved from the December quarter, when profits fell by a third. The company posted $69.8 billion in revenue, up 3% from the same period in the prior year and also slightly ahead of expectations.
What’s next: Facebook-parent company Meta reports first quarter earnings on Wednesday afternoon and Amazon reports Thursday. Apple is expected to report earnings next Thursday.
First Republic shares plunge 50%
The past few weeks have been brutal for First Republic Bank. The company saw its shares plunge by nearly 50% on Tuesday, hitting a new record low after the embattled lender reported that its total deposits fell 41% in the first quarter.
Trading of the stock was halted numerous times on Tuesday as its rapid decline let to volatility-triggered stops by the New York Stock Exchange.
First Republic Bank also said Monday that it expects to cut its workforce by 20-25% this quarter.
The bank said it saw a sharp drop in deposits after the collapse of Silicon Valley Bank and Signature Bank last month, but that outflows began to stabilize at the end of March.
First Republic also said in its earnings release on Monday that it was “taking actions to strengthen its business and restructure its balance sheet.”
One of those options could be selling off assets. Bloomberg reported Tuesday that the lender is looking to sell as much as $100 billion of its loans and securities in a bid to balance its books. First Republic declined to comment to CNN on the story.
The stock closed at just $8.10 a share, and is now down more than 90% for the year.
First Republic sits at the center of the ongoing banking chaos, and investors are worried that its woes could indicate more trouble to come in the sector.
The SPDR S&P Regional Banking ETF (KRE) which tracks the broader regional bank sector dropped 4.2% on Tuesday. Western Alliance Bancorp fell by 5.6% and PacWest was down 8.9%, though it later rebounded.
Yellen warns of debt ceiling ‘economic catastrophe’
US Treasury Secretary Janet Yellen said on Tuesday that if Congress doesn’t vote to raise the debt limit, the resulting government default would cause an “economic catastrophe,” leading to elevated interest rates for years.
Speaking to Sacramento Metropolitan Chamber of Commerce members in Washington DC, Yellen said that if Congress failed to act that would lead to job losses and widespread economic strife.
“A default on our debt would produce an economic and financial catastrophe,” she said. “A default would raise the cost of borrowing into perpetuity. Future investments would become substantially more costly.”
The-CNN-Wire™ & © 2023 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.
Article Topic Follows: CNN - Business/Consumer
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Google and Microsoft fight over the future of AI
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Google Microsoft fight future AI KRDO circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News Live Newscasts COVID19 13 Investigates Absolutely Colorado On Lookout School Buzz Colorado Springs News Pueblo News Colorado Crime Military USWorld Money Politics 13 Investigates Illicit Spas: Hiding In Plain Sight Weather Closures Delays Weather Maps Forecasts Live HD Doppler Neighborhood Weather Network Viaero Wireless Network Cameras Weather Video Ski Report Weather Photo Galleries Sports Friday Night Blitz Videos Livestream Live Newscasts Livestream Special Coverage Videos Radio KRDO NewsRadio Traffic Weather Maps Forecasts Listen Live Radio Program Guide Podcasts Radio Contests Pet Week Traffic Gas Prices Health Healthy Colorado Healthy Kids Healthy Seniors Healthy Women Healthy Men Centura Health Telemundo Telemundo Programacion Colorado Living Victory For Veterans Events Your House Home Ski Report Southern Colorado Jobs Wear Red Fridays Special Reports Waldos Inferno: 10 Years Later Colorado Springs Sesquicentennial Your Voice Your Vote 2023 Colorado Springs General Municipal Election Results Candidates 2023 Colorado Springs General Municipal Election Colorado Springs 2023 General Municipal Election Guide Contests Broadcast Contests Radio Contests Entertainment Advertise Us KRDO Meet Team Careers Closed Captioning Download Apps EEO Public Filing FCC Public File NewslettersAlerts Radio Program Guide TV Listings Skip Content News Weather Traffic Radio Health Contests Share Watch Colorado Springs 44 Todays Forecast WEATHER ALERT: Rain snow tapering afternoon : Download Our Apps CNN BusinessConsumer By CNN Newssource Published April 26, 2023 12:09 PM Share FacebookShare Twitter Share Linkedin Google Microsoft fight future AI GoogleGoogle began rolling ChatGPT rival By Nicole Goodkind, CNN Wall Street able breathe sigh relief Tuesday Googleparent company Alphabet Microsoft beat markets relatively modest earnings expectations. The companies saw big boosts search cloud computing businesses. After disastrous year stocks, shares rebounded strongly quarter. And so, immediate concerns way, executives Microsoft Alphabet focused remarks earnings calls excites most: Artificial intelligence. Microsoft, Google number smaller rivals race integrate generative artificial intelligence technology similar ChatGPT search functions applications. Both companies integral future, apparent Tuesday Microsoft Google arent agreement future look like. Analysts expressed worry Google falling competition comes AI innovation. In March, Google introduced AI chatbot named Bard, met mixed reviews. Googles search engine dominated market decades, Microsofts Bing struggling gain market share. But viral success ChatGPT, generate compelling written responses user prompts, appeared Google defense time years. Microsoft invested partnered OpenAI, company ChatGPT, deploy similar technology Bing productivity tools. Google CEO Sundar Pichai told analysts earnings Tuesday artificial intelligence marks massive potential opportunity company, comparing successful transformation desktop mobile computing decade ago. He said company plans integrate comparable generative AI tools search cloud operations, struck balanced tone. Throughout years, gone many, shifts search, said. Pichai hinted concerns potential generative AI tools spread false information. We know billions people trust Google provide right information, said. Microsoft CEO Satya Nadella, meanwhile, effusive future AI earnings Tuesday, telling analysts sees AI tool revolutionize way people search online. Nadella said app installations Bing gone fourfold AIpowered February. We look forward continuing journey generational shift largest software category search, said. Shares Microsoft 8.5 hours trading Tuesday. Shares Alphabet 1.7. The numbers: Microsoft posted quarterly net income 18.3 billion, 9 yearoveryear, far exceeding expectations. The company posted sales 52.9 billion, 7. Alphabet Tuesday reported profits fell slightly yearago quarter nearly 15.1 billion, 1.17 share, beat expectations. It improved December quarter, profits fell third. The company posted 69.8 billion revenue, 3 period prior year slightly ahead expectations. Whats next: Facebookparent company Meta reports quarter earnings Wednesday afternoon Amazon reports Thursday. Apple expected report earnings Thursday. First Republic shares plunge 50 The past weeks brutal First Republic Bank. The company saw shares plunge nearly 50 Tuesday, hitting new record low embattled lender reported total deposits fell 41 quarter. Trading stock halted numerous times Tuesday rapid decline let volatilitytriggered stops New York Stock Exchange. First Republic Bank said Monday expects cut workforce 2025 quarter. The bank said saw sharp drop deposits collapse Silicon Valley Bank Signature Bank month, outflows began stabilize end March. First Republic said earnings release Monday taking actions strengthen business restructure balance sheet. One options selling assets. Bloomberg reported Tuesday lender looking sell 100 billion loans securities bid balance books. First Republic declined comment CNN story. The stock closed 8.10 share, 90 year. First Republic sits center ongoing banking chaos, investors worried woes indicate trouble come sector. The SPDR SP Regional Banking ETF KRE tracks broader regional bank sector dropped 4.2 Tuesday. Western Alliance Bancorp fell 5.6 PacWest 8.9, later rebounded. Yellen warns debt ceiling economic catastrophe US Treasury Secretary Janet Yellen said Tuesday Congress doesnt vote raise debt limit, resulting government default cause economic catastrophe, leading elevated rates years. Speaking Sacramento Metropolitan Chamber Commerce members Washington DC, Yellen said Congress failed act lead job losses widespread economic strife. A default debt produce economic financial catastrophe, said. A default raise cost borrowing perpetuity. Future investments substantially costly. TheCNNWire 2023 Cable News Network, ., Warner Bros. Discovery Company. . Article Topic Follows: CNN BusinessConsumer Jump comments CNN Newssource Related Articles Tobacco companies pay 600 million settle alleged sanctions violations North Korea Kim Kardashian reveals magic success CNNs Poppy Harlow Banks arent woods collapse SVB Signature Bored Ape NFT creators win case copycat artist BE PART OF THE CONVERSATION KRDO NewsChannel 13 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. Community Guidelines KRDO Jobs FCC Applications KRDO FCC Public File KRDO FCC Applications Do Not Sell My Personal Information Contest Rules Email Alerts Breaking News Severe Weather Morning Forecast Daily Briefing Contests Promotions Download Our Apps Available iOS Android 2023, Pikes Peak Television, . Colorado Springs, CO, USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset
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https://kstp.com/kstp-news/business-news/john-grisham-george-r-r-martin-and-more-authors-sue-openai-for-copyright-infringement/
| 2023-09-20T00:00:00 |
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John Grisham, George R.R. Martin and more authors sue OpenAI for copyright infringement - KSTP.com 5 Eyewitness News
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John Grisham, George R.R. Martin and more authors sue OpenAI for copyright infringement - KSTP.com 5 Eyewitness News
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John Grisham, George R.R. Martin and more authors sue OpenAI for copyright infringement
By HILLEL ITALIE The Associated Press
Author John Grisham appears at the opening night of "A Time To Kill" on Broadway in New York on Oct. 20, 2013, left, and author R.R. Martin appears in Toronto on March 12, 2012. Grisham and Martin are among 17 authors suing OpenAI for “systematic theft on a mass scale.” Their suit was filed Tuesday in New York and is the latest in a wave of legal action by writers concerned that AI programs are using their copyrighted works without permission. (AP Photo)[ASSOCIATED PRESS]
NEW YORK (AP) — John Grisham, Jodi Picoult and George R.R. Martin are among 17 authors suing OpenAI for “systematic theft on a mass scale,” the latest in a wave of legal action by writers concerned that artificial intelligence programs are using their copyrighted works without permission. In papers filed Tuesday in federal court in New York, the authors alleged “flagrant and harmful infringements of plaintiffs’ registered copyrights” and called the ChatGPT program a “massive commercial enterprise” that is reliant upon “systematic theft on a mass scale.” The suit was organized by the Authors Guild and also includes David Baldacci, Sylvia Day, Jonathan Franzen and Elin Hilderbrand among others. “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 said 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 cites specific ChatGPT searches for each author, such as one for Martin that alleges the program generated “an infringing, unauthorized, and detailed outline for a prequel” to “A Game of Thrones” that was titled “A Dawn of Direwolves” and used “the same characters from Martin’s existing books in the series “A Song of Ice and Fire.”The press office for OpenAI did not immediately respond to requests for comment.Earlier this month, a handful of authors that included Michael Chabon and David Henry Hwang sued OpenAI in San Francisco for “clear infringement of intellectual property.” In August, OpenAI asked a federal judge in California to dismiss two similar lawsuits, one involving comedian Sarah Silverman and another from author Paul Tremblay. In a court filing, OpenAI said 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.”Author objections to AI have helped lead Amazon.com, the country’s largest book retailer, to change its policies on e-books. The online giant is now asking writers who want to publish through its Kindle Direct Program to notify Amazon in advance that they are including AI-generated material. Amazon is also limiting authors to three new self-published books on Kindle Direct per day, an effort to restrict the proliferation of AI texts.Copyright 2023 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.
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John Grisham, George R.R. Martin and more authors sue OpenAI for copyright infringement
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John Grisham, George R.R. Martin authors sue OpenAI copyright infringement 5 Eyewitness News Xclose News Weather Watch Live Traffic Sports Home Page Watch Newscasts News Top News Local News 5 Investigates National World News Political News Outdoor News Health Medical News Science Technology Business Entertainment News Weather Current Conditions Seven Day Outlook Interactive Radar Weather Alerts School Alert Traffic Video Watch Live Newscasts 5 Eyewitness News Nightcast ABC News Live Video Programming KSTP TV Schedules At Issue Tom Hauser Minnesota Live Twin Cities Live 45TV Sports Sports Home Minnesota Vikings Minnesota Timberwolves Minnesota Wild Minnesota Lynx Minnesota Twins Minnesota United College Sports High School Sports Featured 5 Featured 5 Links So Minnesota Community Events Inside Your Health Contests Why We Give Us 5 Eyewitness News News Team KSTP Mobile Apps Submit News Tip Submit Photos Videos Advertising Marketing Services Viewer Feedback Newsletter Frequently Asked Questions Hubbard Broadcasting Stations Work With Us John Grisham, George R.R. Martin authors sue OpenAI copyright infringement By HILLEL ITALIE The Associated Press Author John Grisham appears opening night A Time To Kill Broadway New York Oct. 20, 2013, left, author R.R. Martin appears Toronto March 12, 2012. Grisham Martin 17 authors suing OpenAI systematic theft mass scale. Their suit filed Tuesday New York latest wave legal action writers concerned AI programs copyrighted works permission. AP Photo[ASSOCIATED PRESS] NEW YORK AP John Grisham, Jodi Picoult George R.R. Martin 17 authors suing OpenAI systematic theft mass scale, latest wave legal action writers concerned artificial intelligence programs copyrighted works permission. In papers filed Tuesday federal court New York, authors alleged flagrant harmful infringements plaintiffs registered copyrights called ChatGPT program massive commercial enterprise reliant systematic theft mass scale. The suit organized Authors Guild includes David Baldacci, Sylvia Day, Jonathan Franzen Elin Hilderbrand others. It imperative stop theft tracks destroy incredible literary culture, feeds creative industries U.S., Authors Guild CEO Mary Rasenberger said statement. Great books generally written spend careers and, indeed, lives, learning perfecting crafts. To preserve literature, authors ability control works generative AI.The lawsuit cites specific ChatGPT searches author, Martin alleges program generated infringing, unauthorized, detailed outline prequel A Game Thrones titled A Dawn Direwolves characters Martins existing books series A Song Ice Fire.The press office OpenAI immediately respond requests comment.Earlier month, handful authors included Michael Chabon David Henry Hwang sued OpenAI San Francisco clear infringement intellectual property. In August, OpenAI asked federal judge California dismiss similar lawsuits, involving comedian Sarah Silverman author Paul Tremblay. In court filing, OpenAI said claims misconceive scope copyright, failing account limitations exceptions including fair use properly leave room innovations like large language models forefront artificial intelligence.Author objections AI helped lead , countrys largest book retailer, change policies ebooks. The online giant asking writers want publish Kindle Direct Program notify Amazon advance including AIgenerated material. Amazon limiting authors new selfpublished books Kindle Direct day, effort restrict proliferation AI texts. 2023 The Associated Press. . This material published, broadcast, rewritten redistributed permission. Home Page Watch Newscasts News Weather Video Programming Sports Featured 5 Us Work With Us KSTPTV FCC Public Inspection File KSTCTV FCC Public Inspection File KSAXTV FCC Public Inspection File KRWFTV FCC Public Inspection File Additional Public Information KSTPTV, KSTCTV FCC Applications KSAXTV FCC Applications KRWFTV FCC Applications Terms Use DMCA Notice Contest Rules Hubbard Television Group About NEXTGEN TV Any person disabilities needs help accessing content FCC Public File contact KSTP online form 6516465555 This website intended users located European Economic Area. KSTPTV, LLC A Hubbard Broadcasting Company KSTP Follow
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https://kvia.com/ap-national-sports-2/2021/11/05/boxing-body-uses-ai-vetting-of-judges-to-restore-trust/
| 2021-11-05T00:00:00 |
en
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Boxing body uses AI vetting of judges to restore trust - KVIA
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Boxing body uses AI vetting of judges to restore trust - KVIA
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Boxing body uses AI vetting of judges to restore trust
KVIA
BELGRADE. Serbia (AP) — The troubled International Boxing Association is seeking to restore trust in its bouts, which have long been suspected to be corrupt at the Olympics. It’s now been using an artificial intelligence system to analyze judges and referees before they could work at the current men’s world championships. Two officials were removed after being questioned by the automated voice analysis system. The governing body’s integrity advisor Richard McLaren says it was not the same as a lie detector. AIBA is trying to re-establish credibility under new leadership after being removed by the IOC from organizing bouts at the Tokyo Olympics.
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Boxing body uses AI vetting of judges to restore trust
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Boxing body uses AI vetting judges restore trust KVIA circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News El Paso New Mexico Texas BorderMexico USWorld Politics BizTech Crime Education MilitaryFort Bliss Entertainment ABC7 Xtra Race To Space Noticias Weather ABC7 StormTrack Doppler Traffic Bridge Wait Times Cameras Gas Prices Sports UTEP El Paso High School Sports Champs Borderland Blitz NMSU El Paso Chihuahuas Locomotive FC Texas Sports New Mexico Sports Your Voice, Your Vote Election Results 2020 Interactive Results Politics Campaign 2020 Texas Politics New Mexico Politics Election Interactives Video Podcasts Livestream Newscasts Livestream Events ABC News LIVE ABC7 Xtra Borderland Crimes Podcast Money Stacy Johnson Podcast Health ABCs Health Breast Cancer Awareness Health Headlines Keep Abreast Life Seniors Salute 2021 Financial Minute Business Matters Community Champions ESC Region 19 Entertainment Events Calendar House Home Lifestyle Local Focus Safe Home Sunday Funday Your Money JobsRecruitment Shop BorderlandLocalLinks Ask The Expert Play Entertainment Share Submit Tips, Pics Video KVIA People ABC7 Closed Captioning EEO Public Filing FCC Public File KVIA Jobs Internships Download Our Apps History KVIA ABC7 TV Listings Skip Content News Weather Traffic LocalLinks Life Shop Play Share Watch El Paso 65 StormTRACK Weather: Warming trend begins One Crazy Year: Virtual Museum 2020 Top Stories WATCH: Funeral secretary state, military leader Colin Powell NMSU Regents vote unanimously join CUSA sports WATCH: El Paso CBP officials hold briefing Mexico border reopening Mexico announces biggest seizure pure fentanyl El Pasos Segundo Barrio named National Historic Places apnationalsports By Associated Press New Published November 5, 2021 11:27 AM Share FacebookShare Twitter Share Linkedin Boxing body uses AI vetting judges restore trust KVIA BELGRADE. Serbia AP The troubled International Boxing Association seeking restore trust bouts, long suspected corrupt Olympics. Its artificial intelligence analyze judges referees work current mens world championships. Two officials removed questioned automated voice analysis system. The governing bodys integrity advisor Richard McLaren says lie detector. AIBA trying reestablish credibility new leadership removed IOC organizing bouts Tokyo Olympics. apnationalsports Associated Press Related Articles Keita Najakima leads AsiaPacific Amateur 1 Namajunas, Usman fight rematches UFC return NYC Fox Sports heads Naval Academy military salute Favorites, contenders Day 2 Breeders Cup KVIATV FCC Public File FCC Applications Do Not Sell My Personal Information Email Newsletters Breaking News Severe Weather Daily News Updates Daily Weather Forecast Entertainment Contests Promotions Download Our Apps Available iOS Android 2021, NPG Texas, L.P. El Paso, TX USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset
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https://kyt24.com/uncategorized/294140/artificial-intelligence-in-accounting-global-market-outlook-2018-2027/
| 2021-05-11T00:00:00 |
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Artificial Intelligence in Accounting – Global Market Outlook (2018-2027) – KYT24
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Artificial Intelligence in Accounting – Global Market Outlook (2018-2027) – KYT24
KYT24
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HomeAll NewsArtificial Intelligence in Accounting – Global Market Outlook (2018-2027)
Artificial Intelligence in Accounting – Global Market Outlook (2018-2027)
Posted On: May 11, 2021
Posted By: mrc
Comments: 0
Global Artificial Intelligence in Accounting Market is expected to reach $14,054.09 million by 2027 growing at a CAGR of 46.4% during 2018 to 2027.
Some of the key players profiled in the Artificial Intelligence in Accounting Market include Deloitte, EY, Google, IBM, Intuit, KPMG, Microsoft, MindBridge Analytics and Xero.
Rising requirement of automation in mundane tasks and requirement for advanced decision making are the major factors driving the market growth. However, lack of skill sets is restraining the market growth.
Request for sample here: https://www.strategymrc.com/report/artificial-intelligence-in-accounting-market/request-sample
Artificial Intelligence in Accounting is used to pull accurate outcome from a large amount of data without human intervention. It is much more beneficial for data-driven industries, such as accounting. It is also used for fraud detection.
Based on technology, the Natural Language Processing (NLP) segment is likely to have a huge demand due to its capability to recognize human language, fast processing, user-friendliness and its applications in the areas of invoice classification and contract interpretation etc.
Access the complete report at: https://www.strategymrc.com/report/artificial-intelligence-in-accounting-market
By geography, North America is going to have a lucrative growth during the forecast period due to maximum developments in the AI and focus on the players in the region towards new product developments, acquisitions etc.
Make an inquiry at: https://www.strategymrc.com/report/artificial-intelligence-in-accounting-market
Deployment Modes Covered:
• On-premises
• Cloud
Enterprise Sizes Covered:
• Small and Medium-sized Enterprises (SMEs)
• Large Enterprises
Components Covered:
• Services
• Solutions
Technologies Covered:
• Natural Language Processing (NLP)
• Machine Learning (ML) and Deep Learning
Applications Covered:
• Reporting
• Invoice Classification and Approvals
• Fraud and Risk Management
• Automated Bookkeeping
• Other Applications
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o France
o Italy
o UK
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
– Market share assessments for the regional and country level segments
– Market share analysis of the top industry players
– Strategic recommendations for the new entrants
– Market forecasts for a minimum of 9 years of all the mentioned segments, sub segments and the regional markets
– Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
– Strategic recommendations in key business segments based on the market estimations
– Competitive landscaping mapping the key common trends
– Company profiling with detailed strategies, financials, and recent developments
– Supply chain trends mapping the latest technological advancements
Follow us on Twitter: https://twitter.com/StratisticsMRC
Follow us on LinkedIn at: https://www.linkedin.com/company/stratistics-market-research-consulting-pvt-ltd?trk=mini-profile
About Stratistics MRC
We offer a wide spectrum of research and consulting services with in-depth knowledge of different industries. We are known for customized research services, consulting services, and Full-Time Equivalent (FTE) services in the research world. We explore market trends and draw our insights with valid assessments and analytical views. We use advanced techniques and tools among the quantitative and qualitative methodologies to identify the market trends.
Our research reports and publications are routed to help our clients to design their business models and enhance their business growth in the competitive market scenario. We have a strong team with hand-picked consultants including project managers, implementers, industry experts, researchers, research evaluators and analysts with years of experience in delivering the complex projects.
Contact Info:
Name: James Lamb
Email: Send Email
Organization: Stratistics Market Research Consulting Pvt Ltd
Phone: +1-301-202-5929
Website: https://www.strategymrc.com
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Artificial Intelligence Accounting Global Market Outlook 20182027 KYT24 KYT24 Analysis Forecast Market Reports Market Research Market Study All News HomeAll NewsArtificial Intelligence Accounting Global Market Outlook 20182027 Artificial Intelligence Accounting Global Market Outlook 20182027 Posted On: May 11, 2021 Posted By: mrc Comments: 0 Global Artificial Intelligence Accounting Market expected reach 14,054.09 million 2027 growing CAGR 46.4 2018 2027. Some key players profiled Artificial Intelligence Accounting Market include Deloitte, EY, Google, IBM, Intuit, KPMG, Microsoft, MindBridge Analytics Xero. Rising requirement automation mundane tasks requirement advanced decision making major factors driving market growth. However, lack skill sets restraining market growth. Request sample here: Artificial Intelligence Accounting pull accurate outcome large data human intervention. It beneficial datadriven industries, accounting. It fraud detection. Based technology, Natural Language Processing NLP segment likely huge demand capability recognize human language, fast processing, userfriendliness applications areas invoice classification contract interpretation etc. Access complete report at: By geography, North America going lucrative growth forecast period maximum developments AI focus players region new product developments, acquisitions etc. Make inquiry at: Deployment Modes Covered: Onpremises Cloud Enterprise Sizes Covered: Small Mediumsized Enterprises SMEs Large Enterprises Components Covered: Services Solutions Technologies Covered: Natural Language Processing NLP Machine Learning ML Deep Learning Applications Covered: Reporting Invoice Classification Approvals Fraud Risk Management Automated Bookkeeping Other Applications Regions Covered: North America US Canada Mexico Europe Germany France Italy UK Spain Rest Europe Asia Pacific Japan China India Australia New Zealand South Korea Rest Asia Pacific South America Argentina Brazil Chile Rest South America Middle East Africa Saudi Arabia UAE Qatar South Africa Rest Middle East Africa What report offers: Market share assessments regional country level segments Market share analysis industry players Strategic recommendations new entrants Market forecasts minimum 9 years mentioned segments, sub segments regional markets Market Trends Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, recommendations Strategic recommendations key business segments based market estimations Competitive landscaping mapping key common trends Company profiling detailed strategies, financials, recent developments Supply chain trends mapping latest technological advancements Follow Twitter: Follow LinkedIn at: About Stratistics MRC We offer wide spectrum research consulting services indepth knowledge different industries. We known customized research services, consulting services, FullTime Equivalent FTE services research world. We explore market trends draw insights valid assessments analytical views. We use advanced techniques tools quantitative qualitative methodologies identify market trends. Our research reports publications routed help clients design business models enhance business growth competitive market scenario. We strong team handpicked consultants including project managers, implementers, industry experts, researchers, research evaluators analysts years experience delivering complex projects. 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https://localnews8.com/cnn-regional/2023/07/01/dr-ai-and-personal-assistants-heres-what-canada-could-look-like-in-2050/
| 2023-07-01T00:00:00 |
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Dr. AI and personal assistants? Here's what Canada could look like in 2050 - Local News 8
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Dr. AI and personal assistants? Here's what Canada could look like in 2050 - Local News 8
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CNN - Regional
Dr. AI and personal assistants? Here’s what Canada could look like in 2050
By CNN Newsource
Published
July 1, 2023
9:28 AM
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By Natasha O’Neill, CTVNews.ca Writer
Click here for updates on this story
Toronto, Ontario (CTV Network) — It’s the year 2050 and artificial intelligence is no longer the newest topic but is integrated seamlessly in our everyday lives. At least that’s what experts believe will be the case. The technology has made leaps in the last year as open-sourced intelligence like ChatGPT and Google Bard allow the public a glimpse into what the future could hold. AI has been touted as a way to solve many of the world’s issues, including in health care, transportation and infrastructure, but at the same time, questions are raised about its efficacy. From avatars giving mental health advice to generated internet photos, AI has quickly found its way into the lives of Canadians, but its future is still unknown. CTVNews.ca asked three experts what AI will look like in 2050 including what it will impact most and what Canada needs to do to be ready. TODAY’S AI ‘TEND TO HALLUCINATE’ “It’s actually incredibly difficult to predict so much time ahead,” Vered Shwartz, assistant professor at the University of British Columbia said. To understand what the future could hold, Shwartz, also a Canadian Institute for Advanced Research (CIFAR) chair, looked to the past. “In 1996, the internet was new, you had to connect to the cable, Amazon started as an online bookstore and no Google, video, social media and smartphones,” she told CTVNews.ca in an interview. “If you just think about how much changed since then, and the fact that things are progressing faster now, it’s actually very hard to predict.” But she says with an understanding of how AI is advancing now, it is possible to see how the world will become more automated. “(It will be) even more ubiquitous in our lives and I think it will get better,” she said. “There are a lot of limitations right now but I think many of them will be solved. I think it will enhance a lot of jobs and likely also replace them and create some too.” Jobs heavy with admin tasks and paperwork would likely benefit from AI, Shwartz said, including law. She can see AI aiding lawyers by automating “mundane tasks” like writing contracts, but says this is still a work in progress. “The main problem today is with generative AI tools…They’re just not reliable because they tend to hallucinate and make up details, which can be very problematic in that context,” she said. Recently two U.S. lawyers blamed ChatGPT for adding fictitious details to their legal research. They could face punishment from the judge over filling in a lawsuit that included fake case references. AI could also help people learn new languages easier, Shwartz said. For French and English, AI can amplify learning due to its large pool of resources on the internet. “But if you look at an Indigenous language that doesn’t have a lot of written text on the web, so standard solutions don’t actually work well for such low-resource languages,” she said. “So you have to do more research and come up with different solutions to actually make that work, but AI can definitely help with that.” Shwartz hopes AI will also be used specifically to optimize public transportation. “I don’t think there will be flying cars. I don’t necessarily think that’s an efficient solution. I think self-driving cars…will become more mature,” she said. “I really hope that in 2050 we will not still be standing in traffic.” THE FUTURE OF CUSTOMER SERVICE While Shwartz envisions a world with more automation, Jackie Cheung, a McGill University professor and consultant with Microsoft Research, imagines more avatars assisting humans. “There are already many start-ups and companies working on that type of (avatar) application with kind of generative AI technology,” Cheung, also a CIFAR chair, told CTVNews.ca in an interview. He believes people will be interacting with avatars at grocery stores, banks and restaurants in the “not too distant future.” “I think full automation in the short term is probably a mistake in terms of consumer experience and how it affects their day-to-day lives,” Cheung said. “As systems improved, there are some situations where it’s probably better than the current state.” One area Cheung could see AI benefiting is within the airline industry, where customer service could be given through technology, but he says AI avatars could spark an emotional response in humans that we may not account for. “It could cause a lot of emotional distress with the people who interact with these systems and develop bonds,” he said. “There are lots of longer-term consequences that we haven’t really thought much about.” Some areas of our lives have already been infiltrated by AI, Cheung said, like search queries on the internet that pop up as options. The question-based way of searching and receiving specific examples is one way Cheung believes AI will aid in customer service in the future. “We won’t immediately start using them like at full capacity,” he said. “It will take time to figure out where they’re the most useful and where maybe they’re less useful.” DR. AI Searching for research could also be done by an AI personal assistant, Rahul Krishnan, a CIFAR chair, told CTVNews.ca in an interview. “Once we have these large-scale multimodal models that can be personalized things, that’s where we get to do very interactive chatbots that can assist us in many open-ended ways,” Krishnan, a professor at the University of Toronto and affiliated with the Vector Insitute for Artificial Intelligence, said. Krishnan imagines wanting to go on a hiking trip and asking his own personalized assistant to provide a plan for what he might need. In his mind the assistant could also order groceries with approval, remind about appointments and schedule meetings. “This is my imagination in the year 2050, but I do suspect it may come a lot sooner than that,” he said. Krishnan focuses on AI machine learning, which is how the technology learns and then implements ideas. One way he believes AI could change Canada is through health care. “It’s going to change health care because I think health care is just a very big heterogeneous system,” he said. “Small, incremental improvements over time is really going to transform it from what we have today to something where clinicians are able to spend a lot more time with their patients than they currently do in front of a computer.” In January, a new report detailed how Canadian doctors spend 18.5 million hours on “unnecessary” paperwork, something Krishnan believes could be given to AI eventually. The technology could help physicians with taking detailed patient notes or summarizing lengthy clinical history. AI could also assist doctors in finding issues with patients, Krishnan said. “You can imagine a pathologist looking at a very, very large image, trying to identify abnormalities in cells,” he said. “What might take several hours to do might be shortened to a 30-minute period because it’s not just a single person working on this image, it’s a single person working with an AI-assisted device that has been trained on millions and millions of other images.” The tech comes with solutions to aid humans in ways many experts cannot predict would be possible today, but Krishnan says AI is a step forward. “We as a society choose to explore to ensure that the future continues to evolve in a way that’s beneficial to everyone,” he said.
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Dr. AI and personal assistants? Here's what Canada could look like in 2050
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Dr. AI personal assistants? Heres Canada look like 2050 Local News 8 circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News Local News VallowDaybell Coverage Coronavirus Coverage Crime Tracker Idaho Pay It Forward Prevent Child Abuse Scam Alerts USWorld Utah Wyoming Weather Alerts First Alert VIPIR Radar Local Forecast 8Day Forecasts Road Report Ski Report Sky Cams Sports Athlete Week High School Athletics East Idaho Game Night Boise State Athletics Idaho State Athletics BYU Athletics Politics Election Results Idaho Politics Interactive Results Videos Galleries Livestream Local News 8 Livestream News 3 Now Livestream Events Must See Videos Life Entertainment Events Gas Prices Yellowstone Teton Territory Travel Tourism Energizing Conversations INL Hire Idaho Obituaries Question Day Banking Business House Home Your Money Safe Home Events Play Contests Contest Rules Share Submit Tips, Pics Video Jobs Work LocalNews8 Hire Idaho Meet Team Us Advertise With Us Closed Captioning Download Our Apps FCC Public File KIFI FCC Public File KIDK FCC Public File K34NCD EEO Form CW East Idaho Telemundo East Idaho Jobs Internships Scholarships Translator Information TV Listings Skip Content News Weather Sports Life Events Play Share Watch Video Forecast Stray storms Saturday, overall, sunny weekend ahead June 30, 2023 Stories View VallowDaybell coverage Top Stories Boat near Burns Creek capsizes Man arrested stalking crashing deputy vehicle Fourth July SalmonChallis National Forest DEQ marks fiveyears administering Idaho Pollutant Discharge Elimination program Shoshone Falls After Dark second round July CNN Regional Dr. AI personal assistants? Heres Canada look like 2050 By CNN Newsource Published July 1, 2023 9:28 AM Share FacebookShare Twitter Share Linkedin By Natasha ONeill, CTVNews.ca Writer Click updates story Toronto, Ontario CTV Network Its year 2050 artificial intelligence longer newest topic integrated seamlessly everyday lives. At thats experts believe case. The technology leaps year opensourced intelligence like ChatGPT Google Bard allow public glimpse future hold. AI touted way solve worlds issues, including health care, transportation infrastructure, time, questions raised efficacy. From avatars giving mental health advice generated internet photos, AI quickly way lives Canadians, future unknown. CTVNews.ca asked experts AI look like 2050 including impact Canada needs ready. TODAYS AI TEND TO HALLUCINATE Its actually incredibly difficult predict time ahead, Vered Shwartz, assistant professor University British Columbia said. To understand future hold, Shwartz, Canadian Institute Advanced Research CIFAR chair, looked past. In 1996, internet new, connect cable, Amazon started online bookstore Google, video, social media smartphones, told CTVNews.ca interview. If think changed then, fact things progressing faster now, actually hard predict. But says understanding AI advancing now, possible world automated. It ubiquitous lives I think better, said. There lot limitations right I think solved. I think enhance lot jobs likely replace create too. Jobs heavy admin tasks paperwork likely benefit AI, Shwartz said, including law. She AI aiding lawyers automating mundane tasks like writing contracts, says work progress. The main problem today generative AI toolsTheyre reliable tend hallucinate details, problematic context, said. Recently U.S. lawyers blamed ChatGPT adding fictitious details legal research. They face punishment judge filling lawsuit included fake case references. AI help people learn new languages easier, Shwartz said. For French English, AI amplify learning large pool resources internet. But look Indigenous language doesnt lot written text web, standard solutions dont actually work lowresource languages, said. So research come different solutions actually work, AI definitely help that. Shwartz hopes AI specifically optimize public transportation. I dont think flying cars. I dont necessarily think thats efficient solution. I think selfdriving carswill mature, said. I hope 2050 standing traffic. THE FUTURE OF CUSTOMER SERVICE While Shwartz envisions world automation, Jackie Cheung, McGill University professor consultant Microsoft Research, imagines avatars assisting humans. There startups companies working type avatar application kind generative AI technology, Cheung, CIFAR chair, told CTVNews.ca interview. He believes people interacting avatars grocery stores, banks restaurants distant future. I think automation short term probably mistake terms consumer experience affects daytoday lives, Cheung said. As systems improved, situations probably better current state. One area Cheung AI benefiting airline industry, customer service given technology, says AI avatars spark emotional response humans account for. It cause lot emotional distress people interact systems develop bonds, said. There lots longerterm consequences havent thought about. Some areas lives infiltrated AI, Cheung said, like search queries internet pop options. The questionbased way searching receiving specific examples way Cheung believes AI aid customer service future. We wont immediately start like capacity, said. It time figure theyre useful maybe theyre useful. DR. AI ing research AI personal assistant, Rahul Krishnan, CIFAR chair, told CTVNews.ca interview. Once largescale multimodal models personalized things, thats interactive chatbots assist openended ways, Krishnan, professor University Toronto affiliated Vector Insitute Artificial Intelligence, said. Krishnan imagines wanting hiking trip asking personalized assistant provide plan need. In mind assistant order groceries approval, remind appointments schedule meetings. This imagination year 2050, I suspect come lot sooner that, said. Krishnan focuses AI machine learning, technology learns implements ideas. One way believes AI change Canada health care. Its going change health care I think health care big heterogeneous system, said. Small, incremental improvements time going transform today clinicians able spend lot time patients currently computer. In January, new report detailed Canadian doctors spend 18.5 million hours unnecessary paperwork, Krishnan believes given AI eventually. The technology help physicians taking detailed patient notes summarizing lengthy clinical history. AI assist doctors finding issues patients, Krishnan said. You imagine pathologist looking very, large image, trying identify abnormalities cells, said. What hours shortened 30minute period single person working image, single person working AIassisted device trained millions millions images. The tech comes solutions aid humans ways experts predict possible today, Krishnan says AI step forward. We society choose explore ensure future continues evolve way thats beneficial everyone, said. Please note: This content carries strict local market embargo. If share market contributor article, use platform. Article Topic Follows: CNN Regional Jump comments CNN Newsource Related Articles Motown Roller Club brings community wheels Oklahoman faces charges allegedly buying guns teenagers relationship Second 14yearold teen dies subway surfing weeks, time Queens Kids robbed shoes armed thieves inside Irvine Spectrum restroom BE PART OF THE CONVERSATION KIFI Local News 8 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. EEO Report Terms Use Community Guidelines FCC Applications Do Not Sell My Personal Information Our Email Newsletters Daily News Update Breaking News Alert Daily Weather Forecast Severe Weather Alert Contests Promotions Download Our Apps Available iOS Android 2023, NPG Idaho, . 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https://localnews8.com/news/ap-national-business/2023/01/06/explainer-what-is-chatgpt-and-why-are-schools-blocking-it/
| 2023-01-06T00:00:00 |
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EXPLAINER: What is ChatGPT and why are schools blocking it? - Local News 8
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EXPLAINER: What is ChatGPT and why are schools blocking it? - Local News 8
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AP National Business
By Associated Press
Published
January 6, 2023
12:32 PM
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EXPLAINER: What is ChatGPT and why are schools blocking it?
By MATT O’BRIEN
AP Technology Writer
Ask the new artificial intelligence tool ChatGPT to write an essay about the cause of the American Civil War and you can watch it churn out a persuasive term paper in a matter of seconds.
That’s one reason why New York City school officials this week started blocking the impressive but controversial writing tool that can generate paragraphs of human-like text.
The decision by the largest U.S. school district to restrict the ChatGPT website on school devices and networks could have ripple effects on other schools, and teachers scrambling to figure out how to prevent cheating. The creators of ChatGPT say they’re also looking for ways to detect misuse.
The free tool has been around for just five weeks but is already raising tough questions about the future of AI in education, the tech industry and a host of professions.
WHAT IS CHATGPT?
ChatGPT launched on Nov. 30 but is part of a broader set of technologies developed by the San Francisco-based startup OpenAI, which has a close relationship with Microsoft.
It’s part of a new generation of AI systems that can converse, generate readable text on demand and even produce novel images and video based on what they’ve learned from a vast database of digital books, online writings and other media.
But unlike previous iterations of so-called “large language models,” such as OpenAI’s GPT-3, launched in 2020, the ChatGPT tool is available for free to anyone with an internet connection and designed to be more user-friendly. It works like a written dialogue between the AI system and the person asking it questions.
Millions of people have played with it over the past month, using it to write silly poems or songs, to try to trick it into making mistakes, or for more practical purposes such as helping compose an email. All of those queries are also helping it get smarter.
WHAT ARE THE PITFALLS?
As with similar systems, ChatGPT can generate convincing prose, but that doesn’t mean what it says is factual or logical.
Its launch came with little guidance for how to use it, other than a promise that ChatGPT will admit when it’s wrong, challenge “incorrect premises” and reject requests meant to generate offensive answers. Since then, however, its popularity has led its creators to try to lower some people’s expectations.
“ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness,” OpenAI CEO Sam Altman said on Twitter in December.
Altman added that “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.”
CAN IT BE USED FOR WRITING SCHOOL PAPERS?
This is what ChatGPT said when The Associated Press asked it to answer that question in all caps from the perspective of a principal shouting a brief message through a school’s PA system:
“DO NOT USE CHATGPT OR ANY OTHER AUTOMATED WRITING TOOL FOR SCHOOL PAPERS. THIS IS CHEATING AND WILL NOT BE TOLERATED. IF YOU ARE CAUGHT USING CHATGPT OR ANY OTHER AUTOMATED WRITING TOOL FOR SCHOOL PAPERS, THERE WILL BE SERIOUS CONSEQUENCES.”
But when asked to answer the same question on its own, ChatGPT offered this more measured warning: “As a general rule, it is not appropriate to use ChatGPT or any other automated writing tool for school papers, as it is considered cheating and does not benefit the student in the long run.”
WHAT DO SCHOOLS SAY?
Many school districts are still scrambling to figure out how to set policies on if and how it can be used.
The New York City education department said Thursday that it’s restricting access on school networks and devices because it’s worried about negative impacts on student learning, as well as “concerns regarding the safety and accuracy of content.”
But there’s no stopping a student from accessing ChatGPT from a personal phone or computer at home.
“While the tool may be able to provide quick and easy answers to questions, it does not build critical-thinking and problem-solving skills, which are essential for academic and lifelong success,” said schools spokesperson Jenna Lyle.
HUMAN OR AI?
“To determine if something was written by a human or an AI, you can look for the absence of personal experiences or emotions, check for inconsistency in writing style, and watch for the use of filler words or repetitive phrases. These may be signs that the text was generated by an AI.”
That’s what ChatGPT told an AP reporter when asked how to tell the difference.
OpenAI said in a human-written statement this week that it plans to work with educators as it learns from how people are experimenting with ChatGPT in the real world.
“We don’t want ChatGPT to be used for misleading purposes in schools or anywhere else, so we’re already developing mitigations to help anyone identify text generated by that system,” the company said.
DOES THIS THREATEN GOOGLE?
There’s been some speculation that ChatGPT could upend the internet search business now dominated by Google, but the tech giant has been working on similar technology for years — it’s just more cautious about releasing it in the wild.
It was Google that helped jumpstart the trend for ever-bigger, ever-smarter AI language models that could be “pre-trained” on a wide body of writings. In 2018 the company introduced a system known as BERT that uses a “transformer” technique that compares words across a sentence to predict meaning and context. Some of those advances are now baked into Google searches.
But there’s no question that successive iterations of GPT — which stands for Generative Pre-trained Transformer — are having an impact. Microsoft has invested at least $1 billion in OpenAI and has an exclusive license to use GPT-3.
HEY CHATGPT, CAN YOU PUT ALL THIS IN A RAP?
“ChatGPT’s just a tool,
But it ain’t no substitute for school.
You can’t cheat your way to the top,
Using a machine to do your homework, you’ll flop.
Plagiarism’s a no-no,
And ChatGPT’s text is not your own, yo.
So put in the work, earn that grade,
Don’t try to cheat, it’s not worth the trade.”
Article Topic Follows: AP National Business
Associated Press
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EXPLAINER: What is ChatGPT and why are schools blocking it?
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EXPLAINER: What ChatGPT schools blocking it? Local News 8 circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News Local News VallowDaybell Coverage Coronavirus Coverage Crime Tracker Idaho Pay It Forward Prevent Child Abuse Scam Alerts USWorld Utah Wyoming Weather Alerts First Alert VIPIR Radar Local Forecast 8Day Forecasts Spirit Idaho Road Report Ski Report Sky Cams Sports Athlete Week High School Athletics East Idaho Game Night Boise State Athletics Idaho State Athletics BYU Athletics Politics Election Results Idaho Politics Interactive Results Videos Galleries Livestream Local News 8 Livestream News 3 Now Livestream Events Must See Videos Must See Galleries Life Entertainment Events Gas Prices Energizing Conversations INL Hire Idaho Obituaries Question Day Banking Business House Home Your Money Safe Home Shop Ultimate Golf Card SnakeRiverLocalLinks Weekly Deals Play Contests Contest Rules Spirit Idaho Share Submit Tips, Pics Video Jobs Work LocalNews8 Hire Idaho Meet Team Us Advertise With Us Closed Captioning Download Our Apps FCC Public File KIFI FCC Public File KIDK FCC Public File K34NCD EEO Form CW East Idaho Telemundo East Idaho Jobs Internships Scholarships Translator Information TV Listings Skip Content News Weather Sports Life Shop Play Share Watch Video Forecast Winter Weather Advisory SE highlands January 6, 2023 Stories View VallowDaybell coverage Top Stories IFFD helps change flat tire Watch Gov. Little Inauguration 2023 State State Address Idaho Falls boil water advisory lifted Polio survivor, local author, adventurer featured local bookstore How stay Avy Savy slopes AP National Business By Associated Press Published January 6, 2023 12:32 PM Share FacebookShare Twitter Share Linkedin EXPLAINER: What ChatGPT schools blocking it? By MATT OBRIEN AP Technology Writer Ask new artificial intelligence tool ChatGPT write essay cause American Civil War watch churn persuasive term paper matter seconds. Thats reason New York City school officials week started blocking impressive controversial writing tool generate paragraphs humanlike text. The decision largest U.S. school district restrict ChatGPT website school devices networks ripple effects schools, teachers scrambling figure prevent cheating. The creators ChatGPT theyre looking ways detect misuse. The free tool weeks raising tough questions future AI education, tech industry host professions. WHAT IS CHATGPT? ChatGPT launched Nov. 30 broader set technologies developed San Franciscobased startup OpenAI, close relationship Microsoft. Its new generation AI systems converse, generate readable text demand produce novel images video based theyve learned vast database digital books, online writings media. But unlike previous iterations socalled large language models, OpenAIs GPT3, launched 2020, ChatGPT tool available free internet connection designed userfriendly. It works like written dialogue AI person asking questions. Millions people played past month, write silly poems songs, try trick making mistakes, practical purposes helping compose email. All queries helping smarter. WHAT ARE THE PITFALLS? As similar systems, ChatGPT generate convincing prose, doesnt mean says factual logical. Its launch came little guidance use it, promise ChatGPT admit wrong, challenge incorrect premises reject requests meant generate offensive answers. Since then, however, popularity led creators try lower peoples expectations. ChatGPT incredibly limited, good things create misleading impression greatness, OpenAI CEO Sam Altman said Twitter December. Altman added mistake relying important right now. Its preview progress; lots work robustness truthfulness. CAN IT BE USED FOR WRITING SCHOOL PAPERS? This ChatGPT said The Associated Press asked answer question caps perspective principal shouting brief message schools PA system: DO NOT USE CHATGPT OR ANY OTHER AUTOMATED WRITING TOOL FOR SCHOOL PAPERS. THIS IS CHEATING AND WILL NOT BE TOLERATED. IF YOU ARE CAUGHT USING CHATGPT OR ANY OTHER AUTOMATED WRITING TOOL FOR SCHOOL PAPERS, THERE WILL BE SERIOUS CONSEQUENCES. But asked answer question own, ChatGPT offered measured warning: As general rule, appropriate use ChatGPT automated writing tool school papers, considered cheating benefit student long run. WHAT DO SCHOOLS SAY? Many school districts scrambling figure set policies used. The New York City education department said Thursday restricting access school networks devices worried negative impacts student learning, concerns safety accuracy content. But theres stopping student accessing ChatGPT personal phone home. While tool able provide quick easy answers questions, build criticalthinking problemsolving skills, essential academic lifelong success, said schools spokesperson Jenna Lyle. HUMAN OR AI? To determine written human AI, look absence personal experiences emotions, check inconsistency writing style, watch use filler words repetitive phrases. These signs text generated AI. Thats ChatGPT told AP reporter asked tell difference. OpenAI said humanwritten statement week plans work educators learns people experimenting ChatGPT real world. We dont want ChatGPT misleading purposes schools else, developing mitigations help identify text generated system, company said. DOES THIS THREATEN GOOGLE? Theres speculation ChatGPT upend internet search business dominated Google, tech giant working similar technology years cautious releasing wild. It Google helped jumpstart trend everbigger, eversmarter AI language models pretrained wide body writings. In 2018 company introduced known BERT uses transformer technique compares words sentence predict meaning context. Some advances baked Google searches. But theres question successive iterations GPT stands Generative Pretrained Transformer impact. Microsoft invested 1 billion OpenAI exclusive license use GPT3. HEY CHATGPT, CAN YOU PUT ALL THIS IN A RAP? ChatGPTs tool, But aint substitute school. You cheat way top, Using machine homework, youll flop. Plagiarisms nono, And ChatGPTs text own, yo. So work, earn grade, Dont try cheat, worth trade. Article Topic Follows: AP National Business Associated Press Related Articles India host virtual summit 120 developing nations Southwests strong 2022 rebound soured holiday debacle Kremlinordered truce uncertain amid mutual mistrust Michigan program trains prisoners trim power lines BE PART OF THE CONVERSATION KIFI Local News 8 committed providing forum civil constructive conversation. Please comments respectful relevant. You review Community Guidelines clicking If like share story idea, submit here. EEO Report Terms Use Community Guidelines FCC Applications Do Not Sell My Personal Information Our Email Newsletters Daily News Update Breaking News Alert Daily Weather Forecast Severe Weather Alert Contests Promotions Download Our Apps Available iOS Android 2023, NPG Idaho, . Idaho Falls, ID USA Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset
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] | 1 | 5,033 |
https://mashable.com/article/openai-chatgpt-voice-chat-multimodal-image-capabilities
| 2023-09-25T00:00:00 |
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ChatGPT rolls out voice and image capabilities | Mashable
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ChatGPT rolls out voice and image capabilities | Mashable
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Tech
ChatGPT rolls out voice and image capabilities
Parents can now outsource bedtime stories.
By
Cecily Mauran on September 25, 2023
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ChatGPT kind of has eyes and ears now.
Credit: Getty Images
Everyone's favorite chatbot can now see and hear and speak. On Monday, OpenAI announced new multimodal capabilities for ChatGPT. Users can now have voice conversations or share images with ChatGPT in real-time. Audio and multimodal features have become the next phase in fierce generative AI competition. Meta recently launched AudioCraft for generating music with AI and Google Bard and Microsoft Bing have both deployed multimodal features for their chat experiences. Just last week, Amazon previewed a revamped version of Alexa that will be powered by its own LLM (large language model), and even Apple is experimenting with AI generated voice, with Personal Voice.
SEE ALSO:
OpenAI expands ChatGPT 'custom instructions' to free users
Voice capabilities will be available on iOS and Android. Like Alexa or Siri, you can tap to speak to ChatGPT and it will speak back to you in one of five preferred voice options. Unlike, current voice assistants out there, ChatGPT is powered by more advanced LLMs, so what you'll hear is the same type of conversational and creative response that OpenAI's GPT-4 and GPT-3.5 is capable of creating with text. The example that OpenAI shared in the announcement is generating a bedtime story from a voice prompt. So, exhausted parents at the end of a long day can outsource their creativity to ChatGPT.
Tweet may have been deleted
Multimodal recognition is something that's been forecasted for a while, and is now launching in a user-friendly fashion for ChatGPT. When GPT-4 was released last March, OpenAI showcased its ability to understand and interpret images and handwritten text. Now it will be a part of everyday ChatGPT use. Users can upload an image of something and ask ChatGPT about it — identifying a cloud, or making a meal plan based on a photo of the contents of your fridge. Multimodal will be available on all platforms.As with any generative AI advancement, there are serious ethics and privacy issues to consider. To mitigate risks of audio deepfakes, OpenAI says it is only using its audio recognition technology for the specific "voice chat" use case. Also, it was created with voice actors they have "directly worked with." That said, the announcement doesn't mention whether users' voices can be used to train the model, when you opt in to voice chat. For ChatGPT's multimodal capabilities, OpenAI says it has "taken technical measures to significantly limit ChatGPT’s ability to analyze and make direct statements about people since ChatGPT is not always accurate and these systems should respect individuals’ privacy." But the real test of nefarious uses won't be known until it's released into the wild.
Related Stories
OpenAI just revealed DALL-E 3, its newest image generator
OpenAI releases new teacher guide for ChatGPT in classrooms
OpenAI violated EU privacy and transparency law, complaint alleges
Crypto bot network powered by ChatGPT uncovered on X
Voice chat and images will roll out to ChatGPT Plus and Enterprise users in the next two weeks, and to all users "soon after."
Topics
Artificial Intelligence
ChatGPT
Cecily Mauran
Cecily is a tech reporter at Mashable who covers AI, Apple, and emerging tech trends. Before getting her master's degree at Columbia Journalism School, she spent several years working with startups and social impact businesses for Unreasonable Group and B Lab. Before that, she co-founded a startup consulting business for emerging entrepreneurial hubs in South America, Europe, and Asia. You can find her on Twitter at @cecily_mauran.
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ChatGPT rolls out voice and image capabilities
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ChatGPT rolls voice image capabilities Mashable refs.firstMenuItem.focus; class=flexshrink px2 arialabel=Menu> Tech Science Life Social Good Entertainment Deals Shopping Travel Cancel Tech Apps Software Artificial Intelligence Cybersecurity Cryptocurrency Mobile Smart Home Social Media Tech Industry Transportation All Tech Science Space Climate Change Environment Video All Science Life Digital Culture Family Parenting Health Wellness Sex, Dating Relationships Sleep Careers Mental Health All Life Social Good Activism Gender LGBTQ Racial Justice Sustainability Politics All Social Good Entertainment Games Movies Podcasts TV Shows Video Reviews Watch Guides All Entertainment SHOP THE BEST Home Tech Kitchen Fitness Sex Toys Apps Software Dating Gift Guides Mashable Choice Mashable Selects Gaming All Best Products Travel Deals Best All Travel Product Reviews Tech Life Beauty Tech Kitchen KidsToys Gaming Fitness Sex Toys Apps Software All Product Reviews DEALS Home Tech TV Laptop VPN Vacuum Gaming Streaming Apple Mashable Shop All Deals Newsletters VIDEOS Mashable Shows All Videos Home > Tech ChatGPT rolls voice image capabilities Parents outsource bedtime stories. By Cecily Mauran onSeptember 25, 2023 Share Facebook Share Twitter Share Flipboard ChatGPT kind eyes ears now. Credit: Getty Images Everyones favorite chatbot hear speak. On Monday, OpenAI announced new multimodal capabilities ChatGPT. Users voice conversations share images ChatGPT realtime. Audio multimodal features phase fierce generative AI competition. Meta recently launched AudioCraft generating music AI Google Bard Microsoft Bing deployed multimodal features chat experiences. Just week, Amazon previewed revamped version Alexa powered LLM large language model, Apple experimenting AI generated voice, Personal Voice. SEE ALSO: OpenAI expands ChatGPT custom instructions free users Voice capabilities available iOS Android. Like Alexa Siri, tap speak ChatGPT speak preferred voice options. Unlike, current voice assistants there, ChatGPT powered advanced LLMs, youll hear type conversational creative response OpenAIs GPT4 GPT3.5 capable creating text. The example OpenAI shared announcement generating bedtime story voice prompt. So, exhausted parents end long day outsource creativity ChatGPT. Tweet deleted Multimodal recognition thats forecasted while, launching userfriendly fashion ChatGPT. When GPT4 released March, OpenAI showcased ability understand interpret images handwritten text. Now everyday ChatGPT use. Users upload image ask ChatGPT identifying cloud, making meal plan based photo contents fridge. Multimodal available platforms.As generative AI advancement, ethics privacy issues consider. To mitigate risks audio deepfakes, OpenAI says audio recognition technology specific voice chat use case. Also, created voice actors directly worked with. That said, announcement doesnt mention users voices train model, opt voice chat. For ChatGPTs multimodal capabilities, OpenAI says taken technical measures significantly limit ChatGPTs ability analyze direct statements people ChatGPT accurate systems respect individuals privacy. But real test nefarious uses wont known released wild. Related Stories OpenAI revealed DALLE 3, newest image generator OpenAI releases new teacher guide ChatGPT classrooms OpenAI violated EU privacy transparency law, complaint alleges Crypto bot network powered ChatGPT uncovered X Voice chat images roll ChatGPT Plus Enterprise users weeks, users soon after. Topics Artificial Intelligence ChatGPT Cecily Mauran Cecily tech reporter Mashable covers AI, Apple, emerging tech trends. Before getting masters degree Columbia Journalism School, spent years working startups social impact businesses Unreasonable Group B Lab. Before that, cofounded startup consulting business emerging entrepreneurial hubs South America, Europe, Asia. You Twitter Recommended For You Wordle today: Heres answer hints August 18 Here tips tricks help answer Wordle 790. 08182023 By Mashable Team The best dating sites apps relationships Meet takes dating seriously do. 09182023 By Leah Stodart Joseph Green Who UAP whistleblowers telling congress? On July 26, 2023, military officials testified House Oversight subcommittee raise concerns recorded UAPs. 08022023 By Emmett Smith The best VPNs torrenting For downloading needs. 08032023 By Joseph Green Haley Henschel The best gay dating apps Where look love youve dated gay people know. 09212023 By Leah Stodart , Joseph Green , Miller Kern Trending Mashable NYT Connections today: See hints answers September 25 Everything need solve Connections 106. 8 hours ago By Mashable Team Wordle today: Heres answer hints September 25 Here tips tricks help answer Wordle 828. 12 hours ago By Mashable Team NASA rover finds place extraordinary events occurred Mars I imagine like witness events. 09232023 By Mark Kaufman How hidden device users protect ahead national emergency alert test For atrisk users preparing Oct. 4 test alert, adjusting settings enough. 09222023 By Chase DiBenedetto NASA spacecraft flies right sun explosion, captures footage It survived. 09192023 By Mark Kaufman The biggest stories day delivered inbox. 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https://masslawyersweekly.com/2023/01/30/divorce-attorneys-family-law-artificial-intelligence-chat-gpt/
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Divorce attorneys coming to grips with brave new world of AI | Massachusetts Lawyers Weekly
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Home / Editor's Picks / Divorce attorneys coming to grips with brave new world of AI
Divorce attorneys coming to grips with brave new world of AI
By: Pat Murphy
January 30, 2023
Family law attorneys aren’t too concerned about being replaced by artificial intelligence technology that can spit out custom-made divorce settlements — at least not yet.
According to the Forbes Advisor website, the median cost of a divorce in the U.S. is projected to be $7,000 in 2023. The average cost of a divorce this year is ...
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Artificial intelligence Domestic relations 9:22 am Mon, January 30, 2023
Massachusetts Lawyers Weekly Pat Murphy
Tagged with: Artificial intelligence Domestic relations Issue: Feb. 6 2023 issue
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Divorce attorneys coming to grips with brave new world of AI
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Divorce attorneys coming grips brave new world AI Massachusetts Lawyers Weekly Please ensure Javascript enabled purposes website accessibility Email Address: Password: Manage Account Manage Your Print Online Subscription Manage Your Email Subscription LOG IN Dont Miss Divorce attorneys coming grips brave new world AI Per diem interpreters plan stage walkout Time bring Small Claims Court 21st century Managementside attorneys reflect wave pay transparency laws Cannabis employee ineligible Chapter 13 relief Lingering Black Lives Matter mask ban claims tossed Appeals Court erases 237K indemnity award Murder conviction upheld despite unreliable expert evidence Former Appeals Court staff attorney alleges cabal ousted post DraftKings sued refund policy canceled NFL game Massachusetts Lawyers Weekly News Archives Digital Edition Practice Areas JudgesCourts Judicial Assignments Opinions Opinion Digests 1st U.S. Circuit Court Appeals U.S. District Court Bankruptcy Appellate Panel U.S. Bankruptcy Court Supreme Judicial Court Appeals Court Appeals Court Unpublished Superior Court Superior Court Business Litigation Session District CourtBMC Appellate Division District CourtBMC Trial Division Land Court Probate Family Court Housing Court Appellate Tax Board Department Labor Relations Massachusetts Commission Against Discrimination Department Industrial Accidents Fulltext Opinions Order Opinion Bar Discipline Verdicts Settlements Online Only From Bench Forum Massachusetts General Laws SJC Court Links Appeals Court Links ClassifiedsJobs ADR Experts Lawyer Lawyer Employment Legal Jobs EMail Alert Litigation Support Real Estate Advertising Advertising Marketing Growth Guide Events Media Kit Events Lawyers Weekly webinars FTC proposes nationwide ban noncompetes Recorded webinars Leaders Law Excellence Law Massachusetts Lawyers Hall Fame Top Women Law InHouse Counsel Breakfast Diversity lusion Legal Business Environment Publications Email Alerts Resources Manage Account News Archives Digital Edition Practice Areas JudgesCourts Judicial Assignments Opinions Opinion Digests 1st U.S. Circuit Court Appeals U.S. District Court Bankruptcy Appellate Panel U.S. Bankruptcy Court Supreme Judicial Court Appeals Court Appeals Court Unpublished Superior Court Superior Court Business Litigation Session District CourtBMC Appellate Division District CourtBMC Trial Division Land Court Probate Family Court Housing Court Appellate Tax Board Department Labor Relations Massachusetts Commission Against Discrimination Department Industrial Accidents Fulltext Opinions Order Opinion Bar Discipline Verdicts Settlements Online Only From Bench Forum Massachusetts General Laws SJC Court Links Appeals Court Links ClassifiedsJobs ADR Experts Lawyer Lawyer Employment Legal Jobs EMail Alert Litigation Support Real Estate Advertising Advertising Marketing Growth Guide Events Media Kit Events Lawyers Weekly webinars FTC proposes nationwide ban noncompetes Recorded webinars Leaders Law Excellence Law Massachusetts Lawyers Hall Fame Top Women Law InHouse Counsel Breakfast Diversity lusion Legal Business Environment Publications Email Alerts Resources Home Editors Picks Divorce attorneys coming grips brave new world AI Divorce attorneys coming grips brave new world AI By: Pat Murphy January 30, 2023 Family law attorneys arent concerned replaced artificial intelligence technology spit custommade divorce settlements yet. According Forbes Advisor website, median cost divorce U.S. projected 7,000 2023. The average cost divorce year ... Print, Digital Mobile1 Month391 Year449 Digital Mobile Only1 Year399 Print, Digital Mobile1 Month391 Year449 Digital Mobile Only1 Year399 Print, Digital Mobile1 Month391 Year449Digital Mobile Only1 Year399 Email Address: Password: Enter user password fields gain access subscriber content site. Your subscription includes set login credentials exclusive use. Security features integrated site: If signs credentials logged in, site automatically close ongoing login lose access time. To inquire group subscriptions enterprise site license firm, contact Shannon Wass. If feel login credentials second party, contact customer service 8776159536 assistance changing password. Already paid subscriber registered online access yet? For instructions premium web access, click here. Forgot password? Artificial intelligence Domestic relations 9:22 Mon, January 30, 2023 Massachusetts Lawyers Weekly Pat Murphy Tagged with: Artificial intelligence Domestic relations Issue: Feb. 6 2023 issue Previous: SEC names new director Boston office Next: Criminal Plea Sex offender registration You like Per diem interpreters plan stage walkout January 30, 2023 Time bring Small Claims Court 21st century January 27, 2023 Managementside attorneys reflect wave pay transparency laws January 27, 2023 Leave ReplyYou logged post comment. Editors Picks Our best, right now.Divorce attorneys coming grips brave new world AIby Pat Murphy Jan. 30Per diem interpreters plan stage walkoutby Kris Olson Jan. 30Time bring Small Claims Court 21st centuryby David R. Howard Jeffrey A. Schreiber Jan. 27Managementside attorneys reflect wave pay transparency lawsby Kris Olson Jan. 27Cannabis employee ineligible Chapter 13 reliefby Eric T. 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https://menafn.com/1107134322/Introducing-Ai-Girlfriends-App-Revolutionizing-Relationships-With-Artificial-Intelligence
| 2023-09-25T00:00:00 |
en
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Introducing Ai Girlfriends App: Revolutionizing Relationships With Artificial Intelligence | MENAFN.COM
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Introducing Ai Girlfriends App: Revolutionizing Relationships With Artificial Intelligence | MENAFN.COM
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25 September 2023
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Introducing Ai Girlfriends App: Revolutionizing Relationships With Artificial Intelligence
Date
9/25/2023 5:11:23 AM
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(MENAFN- Zex PR Wire) San Francisco, CA, 25th September 2023, ZEX PR WIRE , Today marks a groundbreaking moment in the world of artificial intelligence and human connection as Ai Girlfriends App officially launches its innovative platform. Based in the heart of Silicon Valley, San Francisco, Ai Girlfriends App is set to transform the way people build meaningful relationships by offering users the chance to create and nurture their very own virtual girlfriend. In a world where technology is constantly evolving and reshaping our lives, Ai Girlfriends App is at the forefront of a new era in companionship. This cutting-edge mobile application leverages state-of-the-art artificial intelligence to offer users a unique and personalized experience, allowing them to forge deep connections with virtual partners tailored to their preferences. Key Features of Ai Girlfriends App:
Personalization: Users can customize every aspect of their virtual girlfriend, from appearance and personality traits to interests and hobbies, ensuring a perfect match for each individual. Conversational AI: Engage in natural and meaningful conversations with your virtual girlfriend, thanks to advanced natural language processing algorithms that make interactions feel genuine and emotionally fulfilling. Emotional Bonding: Build a strong emotional connection over time as the AI learns from your interactions, remembers important details, and adapts to your unique personality. Activities and Adventures: Share exciting experiences with your virtual girlfriend by planning virtual dates, adventures, and activities together, creating unforgettable memories. 24/7 Availability: Ai Girlfriends App is available at any time, offering companionship and support whenever users need it most. CEO and Founder of Ai Girlfriends App, expressed her enthusiasm for the launch, saying,“We are proud to introduce Ai Girlfriends App to the world. Our team has worked tirelessly to create a platform that redefines companionship in the digital age. With the power of artificial intelligence, we aim to provide users with a unique and fulfilling relationship experience, all at their fingertips.” As Ai Girlfriends App enters the market, it has already garnered significant interest and early adoption among users looking for a new way to connect, offering companionship, emotional support, and an opportunity to build lasting relationships. Ai Girlfriends App is available for download on both iOS and Android platforms, ensuring accessibility for a wide range of users. To learn more about the app and its features, visit our website at .
Join the conversation and stay updated on the latest news by following Ai Girlfriends App on social media: ● Twitter: @AiGirlfriends
For media inquiries, please contact:
Email: About Ai Girlfriends App: Ai Girlfriends App is a pioneering artificial intelligence company based in San Francisco, California. Founded in 2023, the company is dedicated to revolutionizing the way people connect and build meaningful relationships through the power of advanced AI technology. The app offers users the opportunity to create and nurture virtual girlfriends , providing companionship, emotional support, and memorable experiences. MENAFN25092023004812010992ID1107134322
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Introducing Ai Girlfriends App: Revolutionizing Relationships With Artificial Intelligence
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Introducing Ai Girlfriends App: Revolutionizing Relationships With Artificial Intelligence MENAFN.COM Monday, 25 September 2023 01:00 GMT Log Remember Me Password New Here? Create account Home News News Industry News Region American Europe Arab World Asia Africa ArticlesPress ReleasesReports Articles Submit Your ArticlesPress ReleasesReports RSS Market Data Equities Market Global Indices MENA Indices Qutoes Charts End Of Day Stocks Currencies Currency Convertor Cross Rates Historical Currencies Libor Mena Stocks Commodoties Oil Energy Economic Calender Research Premium Research Free Research Countries Saudi Arabia UAE Bahrain Qatar Kuwait Jordan Oman Egypt Lebanon Iraq Palestine Syria Tunisia Algeria Morocco Yemen Sections Events Financial Glossary Introducing Ai Girlfriends App: Revolutionizing Relationships With Artificial Intelligence Date 9252023 5:11:23 AM Share Facebook Tweet Twitter MENAFN Zex PR Wire San Francisco, CA, 25th September 2023, ZEX PR WIRE , Today marks groundbreaking moment world artificial intelligence human connection Ai Girlfriends App officially launches innovative platform. Based heart Silicon Valley, San Francisco, Ai Girlfriends App set transform way people build meaningful relationships offering users chance create nurture virtual girlfriend. In world technology constantly evolving reshaping lives, Ai Girlfriends App forefront new era companionship. This cuttingedge mobile application leverages stateoftheart artificial intelligence offer users unique personalized experience, allowing forge deep connections virtual partners tailored preferences. Key Features Ai Girlfriends App: Personalization: Users customize aspect virtual girlfriend, appearance personality traits interests hobbies, ensuring perfect match individual. Conversational AI: Engage natural meaningful conversations virtual girlfriend, thanks advanced natural language processing algorithms interactions feel genuine emotionally fulfilling. Emotional Bonding: Build strong emotional connection time AI learns interactions, remembers important details, adapts unique personality. Activities Adventures: Share exciting experiences virtual girlfriend planning virtual dates, adventures, activities together, creating unforgettable memories. 247 Availability: Ai Girlfriends App available time, offering companionship support users need most. CEO Founder Ai Girlfriends App, expressed enthusiasm launch, saying,We proud introduce Ai Girlfriends App world. Our team worked tirelessly create platform redefines companionship digital age. With power artificial intelligence, aim provide users unique fulfilling relationship experience, fingertips. As Ai Girlfriends App enters market, garnered significant early adoption users looking new way connect, offering companionship, emotional support, opportunity build lasting relationships. Ai Girlfriends App available download iOS Android platforms, ensuring accessibility wide range users. To learn app features, visit website . Join conversation stay updated latest news following Ai Girlfriends App social media: Twitter: For media inquiries, contact: Email: About Ai Girlfriends App: Ai Girlfriends App pioneering artificial intelligence company based San Francisco, California. Founded 2023, company dedicated revolutionizing way people connect build meaningful relationships power advanced AI technology. The app offers users opportunity create nurture virtual girlfriends , providing companionship, emotional support, memorable experiences. MENAFN25092023004812010992ID1107134322 Legal Disclaimer: MENAFN provides information warranty kind. We accept responsibility liability accuracy, content, images, videos, licenses, completeness, legality, reliability information contained article. If complaints copyright issues related article, kindly contact provider above. Tags Label Comments No comment Category Date 9252023 Most popular stories Ranveer Singh, NBA Games, Concerts: Abu Dhabi Announces Winter Campaig... 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| 2,023 |
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] | 1 | 5,037 |
https://mobilesyrup.com/2022/12/14/google-reputation-stopping-launching-chatgpt-like-function/
| 2022-12-14T00:00:00 |
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Google's reputation is stopping it from launching ChatGPT-like function
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Google's reputation is stopping it from launching ChatGPT-like function
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PreviousNext
Google’s reputation is stopping it from launching ChatGPT-like function
Chatbot ChatGPT has soared in popularity, reaching 1 million users earlier this month
By Nida Zafar
@nida_zafar
Dec 14, 202210:48 AM EST
0 comments
Google is citing its reputation for not creating a platform similar to ChatGPT.
“This really strikes a need that people seem to have, but it’s also important to realize these models have certain type of issues,” Jeff Dean, the head of Google’s AI division, said at a recent all-hands meeting, according to CNBC.
ChatGBT is an AI chatbot that answers complicated questions and writes essays. It has quickly grown in popularity, crossing 1 million users earlier this month. However, issues of bias remain, and Google is citing this as one of the reasons why it hasn’t launched a similar platform yet.
“We are absolutely looking to get these things out into real products and into things that are more prominently featuring the language model rather than under the covers, which is where we’ve been using them to date,” Dean told employees. “But it’s super important we get this right.”
Alphabet CEO Sundar Pichai hinted the company has “a lot” planned in the space in 2023 but followed Dean’s cautionary tone. “This is an area where we need to be bold and responsible, so we have to balance that.”
Image credit: Shutterstock
Source: CNBC
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Google's reputation is stopping it from launching ChatGPT-like function
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Googles reputation stopping launching ChatGPTlike function Us SyrupCast Contests Newsletter Holiday Deals Dec 14, 2022 12:20 PM EST Rogers offering deals iPhone 14 Galaxy Z Flip 4 Boxing Day Dec 14, 2022 9:32 AM EST Fido, Virgin Plus match Koodos 5040GB plan Dec 14, 2022 7:00 AM EST Here Ecobees Boxing Day deals Dec 14, 2022 3:37 AM EST Amazon Fire TV Sticks sale, drops prices 40 percent Dec 13, 2022 11:46 AM EST Telus rolls Boxing Week plans deals phones Dec 13, 2022 11:16 AM EST Bell offers discounts devices purchased SmartPay financing plan Deals Dec 14, 2022 12:20 PM EST Rogers offering deals iPhone 14 Galaxy Z Flip 4 Boxing Day Dec 14, 2022 9:32 AM EST Fido, Virgin Plus match Koodos 5040GB plan Dec 14, 2022 7:00 AM EST Here Ecobees Boxing Day deals Dec 14, 2022 3:37 AM EST Amazon Fire TV Sticks sale, drops prices 40 percent Dec 13, 2022 11:46 AM EST Telus rolls Boxing Week plans deals phones Dec 13, 2022 11:16 AM EST Bell offers discounts devices purchased SmartPay financing plan SyrupArcade Dec 13, 2022 8:02 PM EST PlayStations 2022 WrapUp available Dec 13, 2022 5:52 PM EST Check Nintendo 2022 Year Review Dec 12, 2022 7:09 PM EST MrBeast coming Fortnite bringing 1 million Extreme Survival Challenge Dec 12, 2022 6:31 PM EST 12month PS Plus memberships 35 new customers Dec 12, 2022 3:19 PM EST Prime Gaming offering free games Dec 27 Jan 3 Dec 12, 2022 1:25 PM EST Final Fantasy Pixel Remaster series soon way PlayStation Switch Gaming Dec 13, 2022 8:02 PM EST PlayStations 2022 WrapUp available Dec 13, 2022 5:52 PM EST Check Nintendo 2022 Year Review Dec 12, 2022 7:09 PM EST MrBeast coming Fortnite bringing 1 million Extreme Survival Challenge Dec 12, 2022 6:31 PM EST 12month PS Plus memberships 35 new customers Dec 12, 2022 3:19 PM EST Prime Gaming offering free games Dec 27 Jan 3 Dec 12, 2022 1:25 PM EST Final Fantasy Pixel Remaster series soon way PlayStation Switch News Dec 14, 2022 12:20 PM EST Rogers offering deals iPhone 14 Galaxy Z Flip 4 Boxing Day Dec 14, 2022 10:48 AM EST Googles reputation stopping launching ChatGPTlike function Dec 14, 2022 9:32 AM EST Fido, Virgin Plus match Koodos 5040GB plan Dec 14, 2022 7:00 AM EST Here Ecobees Boxing Day deals Dec 14, 2022 3:37 AM EST Amazon Fire TV Sticks sale, drops prices 40 percent Dec 13, 2022 9:00 PM EST Instagram rolls BeReal like feature called Candid Stories Carriers Dec 13, 2022 7:00 PM EST SaskTels infiNET service available Lloydminster Dec 13, 2022 9:49 AM EST Koodo rolls 50mo 40GB plan ahead Boxing Day Dec 8, 2022 11:43 AM EST CRTC rejects Telus credit card fee, youll pay Dec 7, 2022 1:20 PM EST Here changes Canadian mobile rate plans week [December 8 14] Dec 7, 2022 10:42 AM EST New Starlink service Starshield turns SpaceX defence contractor Dec 2, 2022 4:20 PM EST Starlink delays Fair Use Policy February Smartphones Dec 13, 2022 3:32 PM EST Apple reportedly plans let thirdparty app stores iOS Dec 13, 2022 2:56 PM EST Apples iOS 16.2 features improved alwayson display iCloud endtoend encryption Dec 13, 2022 2:09 PM EST Samsung Galaxy S21 series poised receive December update today Dec 13, 2022 1:52 PM EST Apple admits iPhone uses Sony camera sensors Dec 12, 2022 4:02 PM EST OnePlus finally brings OxygenOS 13 OnePlus 10T Dec 12, 2022 12:35 PM EST This Samsung Galaxy S23 Ultra spec leak real deal Tablets Computers Dec 12, 2022 5:07 PM EST Apple reportedly going allin OLED 2024 MacBook Air iPad Pro Dec 12, 2022 2:11 PM EST Unreleased M2powered Macs appear anonymous Steam survey Dec 6, 2022 10:29 AM EST Apple iPad production India Dec 5, 2022 6:21 PM EST Cool Masters Orb X awesomelooking futuristic dome gaming chair Dec 1, 2022 1:41 PM EST Steam away Steam Deck minute The Game Awards Nov 30, 2022 9:03 PM EST Alleged M2 Max chipset Geekbench specs leak online Apps Software Dec 14, 2022 10:48 AM EST Googles reputation stopping launching ChatGPTlike function Dec 13, 2022 9:00 PM EST Instagram rolls BeReal like feature called Candid Stories Dec 13, 2022 4:30 PM EST Twitter disbanded Trust Safety Council Dec 13, 2022 4:06 PM EST Whats Freeform, new app appeared iPhone? 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billion 2028: report Nov 21, 2022 12:50 PM EST 4 million Canadians upgrade 5G 1215 months: report Nov 15, 2022 9:06 PM EST SaskTel adding 100 million Rural Fibre Initiative Videos Holiday Deals Deals SyrupArcade Gaming News Carriers Smartphones Tablets Computers Apps Software Smart Home Automotive Accessories Streaming Reviews Smartphones Tablets Computers Smart Home Automotive Accessories Gaming Apps Software Features Carriers Editorials Buyers Guide General Resources General Streaming Howtos Rate Plans Business Government Security Privacy 5G Infrastructure Videos News PreviousNext Googles reputation stopping launching ChatGPTlike function Chatbot ChatGPT soared popularity, reaching 1 million users earlier month By Nida Zafar Dec 14, 202210:48 AM EST 0 comments Google citing reputation creating platform similar ChatGPT. This strikes need people have, important realize models certain type issues, Jeff Dean, head Googles AI division, said recent allhands meeting, according CNBC. ChatGBT AI chatbot answers complicated questions writes essays. It quickly grown popularity, crossing 1 million users earlier month. However, issues bias remain, Google citing reasons launched similar platform yet. We absolutely looking things real products things prominently featuring language model covers, weve date, Dean told employees. But super important right. Alphabet CEO Sundar Pichai hinted company lot planned space 2023 followed Deans cautionary tone. This area need bold responsible, balance that. 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] | 1 | 5,038 |
https://mobilesyrup.com/2023/06/16/google-warns-its-staff-about-using-its-own-ai-chatbot-bard/
| 2023-06-16T00:00:00 |
en
|
Google warns its staff about using its own AI chatbot Bard
|
Google warns its staff about using its own AI chatbot Bard
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Google warns its staff about using its own AI chatbot Bard
Google says chatbots carry a potential risk of data leakage
Karandeep Oberoi@DeepReporting Jun 16, 20232:45 PM EDT
0 comments
Google, the company that has been frantically pushing its AI chatbot Bard and adding AI-powered tech to several of its existing products, is wary about its own technology.
Alphabet, Google’s parent company, has advised its employees to not enter confidential information into any chatbot, including its own Bard, in an effort to safeguard sensitive information.
While programs like Bard and OpenAI’s ChatGPT, powered by generative artificial intelligence, are designed to engage in human-like conversations and provide answers to various types of queries, Google says they also carry a potential risk of data leakage. As reported by Reuters, the company also warned employees not to use the chatbot’s code suggestion feature as it might not be reliable or secure. Google showed off Bard’s code-generating capabilities at Google I/O 2023 last month.
The company said that Bard is still a useful tool, and it helps programmers nonetheless, but it also wants to be transparent about its limitations.
Samsung Electronics has already banned the use of artificial intelligence (AI) tools by employees after discovering that sensitive code was uploaded to OpenAI’s ChatGPT. In February, JPMorgan Chase & Co., Bank of America Corp. and Citigroup Inc. banned or restricted the use of OpenAI’s chatbot service. Italy also barred the use of ChatGPT over privacy fears. However, it has since reversed its stance.
Further, ChatGPT was taken down for several hours back in March when a bug exposed chat titles to other users. Read more about it here.
The launch of Bard came expeditiously as Google tried to compete with other players in the AI chatbot market, such as OpenAI’s ChatGPT and Microsoft’s Bing AI. While these chatbots have various use cases, such as writing content, solving problems, and creating codes for games, they also pose some serious risks, such as spreading misinformation and bias, leaking sensitive data, or infringing on copyrights.
Source: Reuters
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Google warns its staff about using its own AI chatbot Bard
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Gaming Apps Software Features Carriers Editorials Buyers Guide General Resources General Streaming Howtos Rate Plans Business General Government Security Privacy 5G Infrastructure Videos News PreviousNext Google warns staff AI chatbot Bard Google says chatbots carry potential risk data leakage Karandeep Oberoi Jun 16, 20232:45 PM EDT 0 comments Google, company frantically pushing AI chatbot Bard adding AIpowered tech existing products, wary technology. Alphabet, Googles parent company, advised employees enter confidential information chatbot, including Bard, effort safeguard sensitive information. While programs like Bard OpenAIs ChatGPT, powered generative artificial intelligence, designed engage humanlike conversations provide answers types queries, Google says carry potential risk data leakage. As reported Reuters, company warned employees use chatbots code suggestion feature reliable secure. Google showed Bards codegenerating capabilities Google IO 2023 month. The company said Bard useful tool, helps programmers nonetheless, wants transparent limitations. Samsung Electronics banned use artificial intelligence AI tools employees discovering sensitive code uploaded OpenAIs ChatGPT. In February, JPMorgan Chase Co., Bank America Corp. Citigroup . banned restricted use OpenAIs chatbot service. Italy barred use ChatGPT privacy fears. However, reversed stance. Further, ChatGPT taken hours March bug exposed chat titles users. Read here. The launch Bard came expeditiously Google tried compete players AI chatbot market, OpenAIs ChatGPT Microsofts Bing AI. While chatbots use cases, writing content, solving problems, creating codes games, pose risks, spreading misinformation bias, leaking sensitive data, infringing copyrights. Source: Reuters Facebook Twitter LinkedIn Reddit Featured News Google warns staff AI chatbot Bard Relive childhood dbrands new N64inspired transparent PS5 Darkplates Google Lens help identify weird rash Signup MobileSyrup news sent straight inbox Related Articles News Samsung Galaxy Z Flip 5 leaked renders reveal massive Cover Display News Play Store adds new sections Chromebook Tablet apps mobile News Google Lens help identify weird rash Deals Lucky Mobile offers 4GB bonus data flash sale Comments Categories Us SyrupCast Contests Newsletter Tips Contests Social Facebook Twitter Instagram YouTube Reddit Newsletter Signup 2023 Blue Ant Media Privacy. Terms use. SyrupArcade Gaming News Carriers Smartphones Tablets Computers Apps Software Smart Home Automotive Accessories Streaming Reviews Smartphones Tablets Computers Smart Home Automotive Accessories Gaming Apps Software Features Carriers Editorials Buyers Guide General Resources General Streaming Howtos Rate Plans Business General Government Security Privacy 5G Infrastructure Videos
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] | 1 | 5,039 |
https://montreal.ctvnews.ca/university-of-sherbrooke-receives-more-than-28-million-for-artificial-intelligence-research-1.5340997
| 2021-03-10T00:00:00 |
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University of Sherbrooke receives more than $28 million for artificial intelligence research | CTV News
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University of Sherbrooke receives more than $28 million for artificial intelligence research
The Canadian Press
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Published Wednesday, March 10, 2021 7:24AM EST
Funding in the $28 million range will help three research projects at the University of Sherbrooke invest in artificial intelligence equipment. SOURCE: University of Sherbrooke
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SHERBROOKE, QUE. --
The Canada Foundation for Innovation (CFI) is injecting more than $28 million into three research projects at the University of Sherbrooke to acquire specialized equipment needed to advance the work of the researchers leading these projects.
One of them, led by Rejean Fontaine from the Faculty of Engineering, focuses on the use of artificial intelligence in everyday actions.
Current technologies rely on the transfer of an astronomical amount of data across the Internet and cloud computing. Professor Fontaine's project seeks to distribute artificial intelligence in small objects to reduce the huge ecological footprint generated by data transmission.
The research team will design microsystems capable of processing data locally and networking them, in particular through the acquisition of equipment to manufacture and network thousands of sensors.
Another part of the funding is dedicated to the Multidisciplinary Observatory for Monitoring Climate Change and Extreme Events in the Arctic (OMCCA).
Department of Applied Geomatics professor Alexandre Langlois will lead the project to analyze how the Arctic reacts to climate change so that humanity can better adapt because what happens in this region of the planet will be seen further south in 50 or 60 years, with global repercussions.
The funding will be used to establish facilities in Canada's North.
Finally, Faculty of Science professor Jerome Claverie will lead a multidisciplinary project aiming to provide a research tool on polymers in order to develop new ones and build a database on polymers at a level of detail that is currently unmatched.
The Quebec Ministry of Higher Education as well as various public and private partners also contributed to the funding of the three projects.
-- this report by The Canadian Press was first published March 10, 2021.
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University of Sherbrooke receives more than $28 million for artificial intelligence research
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University Sherbrooke receives 28 million artificial intelligence research CTV News Home FOLLOW ON Advertisement MONTREAL University Sherbrooke receives 28 million artificial intelligence research The Canadian Press Staff Published Wednesday, March 10, 2021 7:24AM EST Funding 28 million range help research projects University Sherbrooke invest artificial intelligence equipment. SOURCE: University Sherbrooke Share: Reddit Share Text: SHERBROOKE, QUE. The Canada Foundation Innovation CFI injecting 28 million research projects University Sherbrooke acquire specialized equipment needed advance work researchers leading projects. One them, led Rejean Fontaine Faculty Engineering, focuses use artificial intelligence everyday actions. Current technologies rely transfer astronomical data Internet cloud computing. Professor Fontaines project seeks distribute artificial intelligence small objects reduce huge ecological footprint generated data transmission. The research team design microsystems capable processing data locally networking them, particular acquisition equipment manufacture network thousands sensors. Another funding dedicated Multidisciplinary Observatory Monitoring Climate Change Extreme Events Arctic OMCCA. Department Applied Geomatics professor Alexandre Langlois lead project analyze Arctic reacts climate change humanity better adapt happens region planet seen south 50 60 years, global repercussions. The funding establish facilities Canadas North. Finally, Faculty Science professor Jerome Claverie lead multidisciplinary project aiming provide research tool polymers order develop new ones build database polymers level currently unmatched. The Quebec Ministry Higher Education public private partners contributed funding projects. report The Canadian Press published March 10, 2021. Share: Reddit Share Report Error Editorial standards andpolicies Why trust CTVNews Watch More From CTV News false Piers Morgan: Interview twohour trashathon Royals false Trudeau comment U.K. royal scandal Air Date: March 9, 2021 false Hockey bag filled guns car near U.S. border false Doctor agrees Quebecs vaccine decision Air Date: March 9, 2021 false Quebec B.C. birth rate fall pandemic false Buckingham Palace responds Harry Meghan interview Montreal Top Stories Montreal vaccination site set 1,000 COVID19 doses day Vaccinations people 65 older Montreal begin week: health minister University Sherbrooke receives 28 million artificial intelligence research Consultations Gaspe hope avoid repeat hell situation 2020 Favourable weather means Quebecs maple syrup harvest begun Advocates want governments better support youth leaving foster care amid pandemic FEATURED ITEMS Former Montreal Expos pitcher Rheal Cormier died age 53 The MileEnd bookstore facing closure remain open landlord change heart: owner Study: Hourly wage gap men women persists Quebec, university education Want garden summer? Better act quick seeds selling Why Montreal couple donating 1 million COVID19 research Runner breaks half marathon world record frozen Quebec lake... bare feet Dont Miss false Prince Harry reveals Sussexes quickly left Canada false Canada returns smuggled ancient cat Egypt false Hockey bag filled guns car near U.S. border false How ice fishing helping feed homeless Manitoba false Campaign asks Sask. residents donate SGI rebate cheques false MacKenzie Scott, Jeff Bezos ex, gets married teacher CTVNews.ca Top Stories COVID19 essentially everywhere: Thunder Bay, Ont. leading hotspots Canada 5 things know Wednesday, March 10, 2021 Royals comments raise race issue Commonwealth nations Bank Canada rate announcement, year slashing Judge expected sentence military reservist rammed Rideau Hall gate truck Conservative tension antiabortion groups echo Liberal battle 1990s Advertisement MostWatched false Piers Morgan says sickened interview Air Date: March 8, 2021 false Trudeau comment U.K. royal scandal Air Date: March 9, 2021 false Doctor agrees Quebecs vaccine decision Air Date: March 9, 2021 false PM declines comment Meghan Harry interview Air Date: March 9, 2021 false CTV News Montreal Six Tuesday, March 9, 2021 Air Date: March 9, 2021 MostRead Vaccinations people 65 older Montreal begin week: health minister Quebec advice national vaccine panel AstraZeneca 65 Quebec spend 660 million bring highspeed Internet households fall 2022 RCMP arrests Sherbrooke man, seizes 249 guns near QuebecU.S. border Quebec justice minister, chief justice odds need bilingual judges Montreal area Political Ads Registry Use Website assumes acceptance Terms Conditions 2021. Back
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Global Artificial intelligence (AI) in Supply Chain and Logistics Market CAGR Growth Forecast Outlook | SAP, Amazon Web Services Inc, Microsoft Corporation, Tencent, Facebook, Alibaba, IBM, Google, Oracle Corporation, and Baidu – Murphy's Hockey Law
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Global Artificial intelligence (AI) in Supply Chain and Logistics Market CAGR Growth Forecast Outlook | SAP, Amazon Web Services Inc, Microsoft Corporation, Tencent, Facebook, Alibaba, IBM, Google, Oracle Corporation, and Baidu – Murphy's Hockey Law
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Global Artificial intelligence (AI) in Supply Chain and Logistics Market CAGR Growth Forecast Outlook | SAP, Amazon Web Services Inc, Microsoft Corporation, Tencent, Facebook, Alibaba, IBM, Google, Oracle Corporation, and Baidu
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Artificial intelligence (AI) in Supply Chain and Logistics Market Research Report 2020-2026
Global Artificial intelligence (AI) in Supply Chain and Logistics Market report shows the Industry Chain Structure as well as Macroeconomic Environment Analysis and Development Trend. The Artificial intelligence (AI) in Supply Chain and Logistics Market report also provides the market impact and new opportunities. Also Studied the Impact of COVID-19 on Industry. The total market is further divided by company, by country, and by application/types for the competitive landscape analysis. The report then estimates 2020-2026 market development trends of Artificial intelligence (AI) in Supply Chain and Logistics Industry.
The Artificial intelligence (AI) in Supply Chain and Logistics market report gives CAGR value, Industry Chains, Upstream, Geography, End user, Application, Competitor analysis, SWOT Analysis, Sales, Revenue, Price, Gross Margin, Market Share, Import-Export, Trends and Forecast. The report also gives insight on entry and exit barriers of the industry.
Key Players
The players included in this report are chosen on terms of their product portfolio, market share, brand value, and the monetary wellbeing of the organizations.
Top Leading Companies Profiled in Artificial intelligence (AI) in Supply Chain and Logistics Market Report Are As Follows: SAP, Amazon Web Services Inc, Microsoft Corporation, Tencent, Facebook, Alibaba, IBM, Google, Oracle Corporation, and Baidu
Get Sample Copy @ https://www.reportsandmarkets.com/sample-request/global-artificial-intelligence-ai-in-supply-chain-and-logistics-market-report-2020-by-key-players-types-applications-countries-market-size-forecast-to-2026-based-on-2020-covid-19-worldwide-spread?utm_source=murphyshockeylaw&utm_medium=24
“The final report will add the analysis of the Impact of Covid-19 in this report, Artificial intelligence (AI) in Supply Chain and Logistics industry.”
Research objectives
To study and forecast the market size of Artificial intelligence (AI) in Supply Chain and Logistics in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast among global major regions.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Research Approach:
Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.
Market breakdown
Artificial intelligence (AI) in Supply Chain and Logistics market is split by Type and by Application. For the period 2015-2026, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Key questions answered in the Artificial intelligence (AI) in Supply Chain and Logistics Market report:
What will the Artificial intelligence (AI) in Supply Chain and Logistics market size and the growth rate to be in 2026?
What are the latest market trends impacting the growth of the Artificial intelligence (AI) in Supply Chain and Logistics market?
Who are the global topmost manufacturers of Artificial intelligence (AI) in Supply Chain and Logistics industry?
What are the types and applications of Artificial intelligence (AI) in Supply Chain and Logistics? What is the market share of each type and application?
What are the Artificial intelligence (AI) in Supply Chain and Logistics market opportunities and threats faced by the vendors in the Artificial intelligence (AI) in Supply Chain and Logistics Industry
The report provides insights on the following pointers:
Market Penetration: Provides comprehensive information on Artificial intelligence (AI) in Supply Chain and Logistics offered by the key players in the Global Artificial intelligence (AI) in Supply Chain and Logistics Market
Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Artificial intelligence (AI) in Supply Chain and Logistics Market
Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Artificial intelligence (AI) in Supply Chain and Logistics Market
Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Artificial intelligence (AI) in Supply Chain and Logistics Market
Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Artificial intelligence (AI) in Supply Chain and Logistics Market
Table of Contents: Artificial intelligence (AI) in Supply Chain and Logistics Market Research Report
Chapter 1: Overview of Artificial intelligence (AI) in Supply Chain and Logistics Market
Chapter 2: Global Market Status and Forecast by Regions
Chapter 3: Global Market Status and Forecast by Types
Chapter 4: Global Market Status and Forecast by Downstream Industry
Chapter 5: Market Driving Factor Analysis
Chapter 6: Market Competition Status by Major Manufacturers
Chapter 7: Major Manufacturers Introduction and Market Data
Chapter 8: Upstream and Downstream Market Analysis
Chapter 9: Cost and Gross Margin Analysis
Chapter 10: Marketing Status Analysis
Chapter 11: Market Report Conclusion
Chapter 12: Research Methodology and Reference
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Global Artificial intelligence (AI) in Supply Chain and Logistics Market CAGR Growth Forecast Outlook
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Global Artificial intelligence AI Supply Chain Logistics Market CAGR Growth Forecast Outlook SAP, Amazon Web Services , Microsoft Corporation, Tencent, Facebook, Alibaba, IBM, Google, Oracle Corporation, Baidu Murphys Hockey Law Skip content January 10, 2021 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeNewsGlobal Artificial intelligence AI Supply Chain Logistics Market CAGR Growth Forecast Outlook SAP, Amazon Web Services , Microsoft Corporation, Tencent, Facebook, Alibaba, IBM, Google, Oracle Corporation, Baidu News Global Artificial intelligence AI Supply Chain Logistics Market CAGR Growth Forecast Outlook SAP, Amazon Web Services , Microsoft Corporation, Tencent, Facebook, Alibaba, IBM, Google, Oracle Corporation, Baidu 5 min read 2 hours ago Sanjay Artificial intelligence AI Supply Chain Logistics Market Research Report 20202026 Global Artificial intelligence AI Supply Chain Logistics Market report shows Industry Chain Structure Macroeconomic Environment Analysis Development Trend. The Artificial intelligence AI Supply Chain Logistics Market report provides market impact new opportunities. Also Studied Impact COVID19 Industry. The total market divided company, country, applicationtypes competitive landscape analysis. The report estimates 20202026 market development trends Artificial intelligence AI Supply Chain Logistics Industry. The Artificial intelligence AI Supply Chain Logistics market report gives CAGR value, Industry Chains, Upstream, Geography, End user, Application, Competitor analysis, SWOT Analysis, Sales, Revenue, Price, Gross Margin, Market Share, ImportExport, Trends Forecast. The report gives insight entry exit barriers industry. Key Players The players included report chosen terms product portfolio, market share, brand value, monetary wellbeing organizations. Top Leading Companies Profiled Artificial intelligence AI Supply Chain Logistics Market Report Are As Follows: SAP, Amazon Web Services , Microsoft Corporation, Tencent, Facebook, Alibaba, IBM, Google, Oracle Corporation, Baidu Get Sample Copy @ The final report add analysis Impact Covid19 report, Artificial intelligence AI Supply Chain Logistics industry. Research objectives To study forecast market size Artificial intelligence AI Supply Chain Logistics global market. To analyze global key players, SWOT analysis, value global market share players. To define, forecast market type, end use region. To analyze compare market status forecast global major regions. To analyze global key regions market potential advantage, opportunity challenge, restraints risks. To identify significant trends factors driving inhibiting market growth. To analyze opportunities market stakeholders identifying high growth segments. To strategically analyze submarket respect individual growth trend contribution market To analyze competitive developments expansions, agreements, new product launches, acquisitions market. To strategically profile key players comprehensively analyze growth strategies. Research Approach: Our market forecasting based market model derived market connectivity, dynamics, identified influential factors assumptions market made. These assumptions enlightened factbases, primary secondary research instruments, regressive analysis extensive connect industry people. Market forecasting derived indepth understanding attained future market spending patterns provides quantified insight support decisionmaking process. The interview recorded, information gathered drawing board information collected secondary research. Market breakdown Artificial intelligence AI Supply Chain Logistics market split Type Application. For period 20152026, growth segments provide accurate calculations forecasts sales Type Application terms volume value. This analysis help expand business targeting qualified niche markets. Key questions answered Artificial intelligence AI Supply Chain Logistics Market report: What Artificial intelligence AI Supply Chain Logistics market size growth rate 2026? What latest market trends impacting growth Artificial intelligence AI Supply Chain Logistics market? Who global topmost manufacturers Artificial intelligence AI Supply Chain Logistics industry? What types applications Artificial intelligence AI Supply Chain Logistics? What market share type application? What Artificial intelligence AI Supply Chain Logistics market opportunities threats faced vendors Artificial intelligence AI Supply Chain Logistics Industry The report provides insights following pointers: Market Penetration: Provides comprehensive information Artificial intelligence AI Supply Chain Logistics offered key players Global Artificial intelligence AI Supply Chain Logistics Market Product Development Innovation: Provides intelligent insights future technologies, RD activities, new product developments Global Artificial intelligence AI Supply Chain Logistics Market Market Development: Provides indepth information lucrative emerging markets analyzes markets Global Artificial intelligence AI Supply Chain Logistics Market Market Diversification: Provides detailed information new products launches, untapped geographies, recent developments, investments Global Artificial intelligence AI Supply Chain Logistics Market Competitive Assessment Intelligence: Provides exhaustive assessment market shares, strategies, products, manufacturing capabilities leading players Global Artificial intelligence AI Supply Chain Logistics Market Table Contents: Artificial intelligence AI Supply Chain Logistics Market Research Report Chapter 1: Overview Artificial intelligence AI Supply Chain Logistics Market Chapter 2: Global Market Status Forecast Regions Chapter 3: Global Market Status Forecast Types Chapter 4: Global Market Status Forecast Downstream Industry Chapter 5: Market Driving Factor Analysis Chapter 6: Market Competition Status Major Manufacturers Chapter 7: Major Manufacturers Introduction Market Data Chapter 8: Upstream Downstream Market Analysis Chapter 9: Cost Gross Margin Analysis Chapter 10: Marketing Status Analysis Chapter 11: Market Report Conclusion Chapter 12: Research Methodology Reference Get Complete Report @ : Reports And Marketsis Algoro Research Consultants Pvt. Ltd. offers premium progressive statistical surveying, market research reports, analysis forecast data industries governments globe. Are mastering market? Do know market potential product, market players growth forecast is? We offer standard global, regional country specific market research studies market imagine. Us: Sanjay Jain Manager Partner Relations International Marketing [emailprotected] Ph: 13523530818 US Tags: Artificial intelligence AI Supply Chain Logistics Artificial intelligence AI Supply Chain Logistics Forecast Artificial intelligence AI Supply Chain Logistics Industry Artificial intelligence AI Supply Chain Logistics Market Artificial intelligence AI Supply Chain Logistics Price Artificial intelligence AI Supply Chain Logistics Share Artificial intelligence AI Supply Chain Logistics Trends Continue Reading Previous Investment Banking Market Research Report Forecast 2026 Bank Of America Merrill Lynch, CitigroupNext Global Gas Artificial Lift Systems Market CAGR Growth Forecast Outlook Ebara Corporation, Man Diesel Turbo SE, Halliburton, Apergy, Ariel Corporation, Atlas Copco Energas GmbH, Hitachi, General Electric Company More Stories 4 min read All News Energy News Space Baby Drinking Water Market Size And Forecast 20202026 With Post Impact Of Covid19 By Top Leading PlayersEva Water,Nursery,Sant Anna,MAHAC,Waiwera,Nongfu Spring 4 mins ago Sanjay 4 min read All News Energy News Space Reusable Plastic Containers RPCs Market Size And Forecast 20202026 With Post Impact Of Covid19 By Top Leading PlayersIFCO,Tosca,Myers Industries,IPL,RPP Containers,SSI SCHAEFER,ORBIS Corporation,CHOIHOPE,AIM Reusable Packaging 6 mins ago Sanjay 4 min read All News Energy News Space Business Plan Consulting Service Market Size And Forecast 20202026 With Post Impact Of Covid19 By Top Leading PlayersOptimus Business Plans,Alphabridge,Growthink,NSBN,BEM Partners ,Centric Consulting,Corporate 8 mins ago Sanjay for: Recent Posts Wood Based Furniture Panel Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Kronospan, Arauco, Daiken New Zealand, Duratex, GeorgiaPacific, etc. InForGrowth Global Petrolatum Market 2020 Know Companies List Could Potentially Benefit Loose From Impact COVID19 Top Companies: Anika Laboratories, Royal Exports, Grand Brands, HEALDERM HELLAS, Unilever, etc. InForGrowth COVID19 Impact Global Database Performance Monitoring Software Services Market Size, Status Forecast 20202026 Fragrances Market 2020: Potential Growth, Challenges, Know Companies List Could Potentially Benefit Loose From Impact COVID19 Key Players: Henkel AG Co. KGaA, Reckitt Benckiser Group Plc, Newell Brands, The Procter Gamble Co., ., etc. InForGrowth Global Electronic Payment Devices Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Verifone, Taxis, GD, Posdata Group, GCPC, etc. InForGrowth You missed 4 min read All News Wood Based Furniture Panel Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: Kronospan, Arauco, Daiken New Zealand, Duratex, GeorgiaPacific, etc. InForGrowth 19 seconds ago basavraj.t 3 min read All News Global Petrolatum Market 2020 Know Companies List Could Potentially Benefit Loose From Impact COVID19 Top Companies: Anika Laboratories, Royal Exports, Grand Brands, HEALDERM HELLAS, Unilever, etc. InForGrowth 29 seconds ago basavraj.t 2 min read All News COVID19 Impact Global Database Performance Monitoring Software Services Market Size, Status Forecast 20202026 2 mins ago wiseguyreports 3 min read All News Fragrances Market 2020: Potential Growth, Challenges, Know Companies List Could Potentially Benefit Loose From Impact COVID19 Key Players: Henkel AG Co. KGaA, Reckitt Benckiser Group Plc, Newell Brands, The Procter Gamble Co., ., etc. InForGrowth 2 mins ago basavraj.t All News Energy News Space . Newsphere AF themes.
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https://murphyshockeylaw.net/uncategorized/3730118/july-2021-global-ai-in-computer-vision-market-report-2021-detailed-impact-analysis-of-covid-19-future-growth-companies-opportunities-and-challenges-qualcomm-technologies-inc-google-llc-allied-vis/
| 2021-08-13T00:00:00 |
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July 2021 Global AI In Computer Vision Market Report 2021 Detailed Impact Analysis of COVID-19, Future Growth Companies, Opportunities and Challenges Qualcomm Technologies Inc., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation – Murphy's Hockey Law
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July 2021 Global AI In Computer Vision Market Report 2021 Detailed Impact Analysis of COVID-19, Future Growth Companies, Opportunities and Challenges Qualcomm Technologies Inc., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation – Murphy's Hockey Law
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July 2021 Global AI In Computer Vision Market Report 2021 Detailed Impact Analysis of COVID-19, Future Growth Companies, Opportunities and Challenges Qualcomm Technologies Inc., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation
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August 13, 2021
Newly Report on AI In Computer Vision Market 2021, Growth, Share Types and Key Players | Qualcomm Technologies Inc., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation, Facebook, Microsoft Corporation, Intel Corporation, Apple Inc., COGNEX Corporation
COVID-19 Impact on Global AI In Computer Vision Market Research Report 2021-2028
The global AI In Computer Vision market report examines the market position and viewpoint of the market worldwide, from various angles, such as from the key player’s point, geological regions, types of product and application. This AI In Computer Vision report highlights the key driving factors, constraint, opportunities, challenges in the competitive market. It also offers thorough AI In Computer Vision analysis on the market stake, classification, and revenue projection. The AI In Computer Vision market report delivers market status from the reader’s point of view, providing certain market stats and business intuitions. The global AI In Computer Vision industry includes historical and futuristic data related to the industry. It also includes company information of each market player, capacity, profit, AI In Computer Vision product information, price, and so on.
The latest AI In Computer Vision market report published by Cognitive Market Research offers a competency-based analysis and global market estimate, developed using evaluable methods, to provide a clear view of current and expected growth patterns. The report also contains market analysis by geographic location across the globe as well as major markets.
The key manufacturers covered in this report are
Qualcomm Technologies Inc., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation, Facebook, Microsoft Corporation, Intel Corporation, Apple Inc., COGNEX Corporation
The product type segment discusses the different kinds of products made available by the Global AI In Computer Vision market:
Hardware, Software
The product application segment examines the different end-users operational in the Global {AI In Computer Vision} market:
Healthcare, Automotive, Agriculture, Others
Get a sample copy of the report @ https://cognitivemarketresearch.com/electronics-%26-electrical/ai-in-computer-vision-market-report#download_report
The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios.
Research Methodology
The data that has been collected is from a multitude of different services that include both primary and secondary sources. The data also includes a list of the different factors that affect the AI In Computer Vision market either positively or negatively. The data has been subjected to a SWOT analysis that can be used to accurately predict the various parameters that are used to measure a company’s growth. The strengths along with various weaknesses faced by a company are included in the report along with a comprehensive analysis of the different threats and opportunities that can be exploited.
Get Enquiry on this Report @ https://cognitivemarketresearch.com/electronics-%26-electrical/ai-in-computer-vision-market-report#download_report
To understand the global AI In Computer Vision market dynamics, the market is analyzed across major global regions and countries. Cognitive Market Research provides customized specific regional and country-wise analysis of the key geographical regions as follows:
North America
Europe
Asia Pacific Counter
Middle East & Africa
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Europe Country (Germany, UK, France, Italy)
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July 2021 Global AI In Computer Vision Market Report 2021 Detailed Impact Analysis COVID19, Future Growth Companies, Opportunities Challenges Qualcomm Technologies ., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation Murphys Hockey Law Skip content Murphys Hockey Law Menu for: Close search Close Menu Categories All News July 2021 Global AI In Computer Vision Market Report 2021 Detailed Impact Analysis COVID19, Future Growth Companies, Opportunities Challenges Qualcomm Technologies ., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation Post author By mayank Post date August 13, 2021 Newly Report AI In Computer Vision Market 2021, Growth, Share Types Key Players Qualcomm Technologies ., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation, Facebook, Microsoft Corporation, Intel Corporation, Apple ., COGNEX Corporation COVID19 Impact Global AI In Computer Vision Market Research Report 20212028 The global AI In Computer Vision market report examines market position viewpoint market worldwide, angles, key players point, geological regions, types product application. This AI In Computer Vision report highlights key driving factors, constraint, opportunities, challenges competitive market. It offers thorough AI In Computer Vision analysis market stake, classification, revenue projection. The AI In Computer Vision market report delivers market status readers point view, providing certain market stats business intuitions. The global AI In Computer Vision industry includes historical futuristic data related industry. It includes company information market player, capacity, profit, AI In Computer Vision product information, price, on. The latest AI In Computer Vision market report published Cognitive Market Research offers competencybased analysis global market estimate, developed evaluable methods, provide clear view current expected growth patterns. The report contains market analysis geographic location globe major markets. The key manufacturers covered report Qualcomm Technologies ., Google LLC, Allied Vision Technologies GmbH, Basler AG, NVIDIA Corporation, Facebook, Microsoft Corporation, Intel Corporation, Apple ., COGNEX Corporation The product type segment discusses different kinds products available Global AI In Computer Vision market: Hardware, Software The product application segment examines different endusers operational Global AI In Computer Vision market: Healthcare, Automotive, Agriculture, Others Get sample copy report @ The report inspects financial standing leading companies, includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, financial ratios. Research Methodology The data collected multitude different services include primary secondary sources. The data includes list different factors affect AI In Computer Vision market positively negatively. The data subjected SWOT analysis accurately predict parameters measure companys growth. The strengths weaknesses faced company included report comprehensive analysis different threats opportunities exploited. Get Enquiry Report @ To understand global AI In Computer Vision market dynamics, market analyzed major global regions countries. Cognitive Market Research provides customized specific regional countrywise analysis key geographical regions follows: North America Europe Asia Pacific Counter Middle East Africa Latin America America Country United States, Canada South America Asia Country China, Japan, India, Korea Europe Country Germany, UK, France, Italy Other Country Middle East, Africa, GCC About Author: Cognitive Market Research new buzzword market, helps understanding market potential product market. This helps understanding market players growth forecast products company. This market research companies come picture. 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https://musescore.com/user/10425591/scores/6901581
| 2022-10-20T00:00:00 |
en
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Inno ai Tre Santi Martiri – Franco Greco Sheet music for Organ, Vocals, Female (Church Choir) | Musescore.com
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Inno ai Tre Santi Martiri – Franco Greco Sheet music for Organ, Vocals, Female (Church Choir) | Musescore.com
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Inno ai Tre Santi Martiri
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Inno ai Tre Santi Martiri Franco Greco Sheet music Organ, Vocals, Female Church Choir
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https://musically.com/2023/09/26/spotify-launches-jam-feature-and-tests-ai-voice-translations-for-podcasts/
| 2023-09-26T00:00:00 |
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Spotify launches 'Jam' feature and tests AI voice translations for podcasts - Music Ally
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Spotify launches 'Jam' feature and tests AI voice translations for podcasts - Music Ally
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Posted inNews
Spotify launches ‘Jam’ feature and tests AI voice translations for podcasts
by
Stuart Dredge
September 26, 2023September 26, 2023
Share this:Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Facebook (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to email a link to a friend (Opens in new window)
Spotify has rolled out its latest feature for collaborative listening. It’s called ‘Jam’ and is being pitched to listeners as “a personalised, real-time listening session for your group to tune into together”.
A group of listeners can add songs to the current queue and see recommendations based on the tastes of everyone involved. Only premium subscribers can start one of these sessions, but free users are able to join them.
This was one of two product announcements made by Spotify overnight, although the second is focused on podcasts rather than music.
It’s called ‘Voice Translation for Podcasts’ and is a pilot for the moment. It uses new tech from OpenAI to generate “AI-powered voice translations” of podcast episodes using a cloned version of the podcast host’s voice.
Spotify is testing the tech with a select group of podcasters for now – Dax Shepard, Monica Padman, Lex Fridman, Bill Simmons, and Steven Bartlett – with languages including Spanish, French and German.
As part of the announcement, Spotify also noted that it now has more than 100 million people “regularly” listening to podcasts.
Related StoriesReport claims YouTube is bigger than Spotify for podcastsSpotify Wrapped 2021 is live: playlists, charts, artist cards and moreSpotify launches ‘Your Daily Podcasts’ personalised playlist
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https://mycolumbuspower.com/4028171/the-intersection-of-ai-and-anti-blackness-unraveling-the-complex-problem/
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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.
The Intersection Of AI And Anti-Blackness: Unraveling The Complex Problem
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The Complex Intersection Of AI And Anti-Blackness
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The Complex Intersection Of AI And AntiBlackness Menu Home Buy Black 614 Columbus News Features Entertainment Celebrity Gossip Photos Videos Schedule Prizes Events Us Advertise With Us Listen Live Toggle search News 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 Power 107.5 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. The Intersection Of AI And AntiBlackness: Unraveling The Complex Problem originally published More Power 107.5 Tracee Ellis Ross Poses Topless On Instagram, Twitter Collectively Moans PMC SLEAZE: Did Floyd Money Mayweather Jr. Really Put ExFiancee OnBlast... 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https://nairobinews.nation.africa/chatgpt-trainers-want-parliament-to-probe-exposure-to-harmful-content/
| 2023-07-12T00:00:00 |
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ChatGPT trainers want Parliament to probe exposure to harmful content – Nairobi News
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ChatGPT trainers want Parliament to probe exposure to harmful content – Nairobi News
ChatGPT trainers want Parliament to probe exposure to harmful content
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ChatGPT trainers want Parliament to probe exposure to harmful content
Updated 6 mins ago
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HustleNews ChatGPT trainers want Parliament to probe exposure to harmful content
By
Winnie Mabel
July 12th, 2023 2 min read
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This illustration picture shows the AI (Artificial Intelligence) smartphone app ChatGPT surrounded by other AI Apps in Vaasa, on June 6, 2023. PHOTO | AFP)
Kenyan employees who were contracted to train ChatGPT’s algorithm are now calling on the National Assembly to investigate OpenAI in relation to the harmful content it exposed outsourced workers to including rape, bestialities, necrophilia, sexual violence against children, murder and suicides among other harmful content.
Richard Mwaura, Mophat Okinyi, Alex Mwaura and Bill Mulinya were among the petitioners who called on Parliament to look into the conditions of service of young Kenyans who work for foreign big tech companies that outsource employees through Kenyan companies. In this instance, OpenAI outsourced workers through Samasource Kenya EPZ Limited who gave them temporary contracts.
The petitioners were contracted to clean up ChatGPT but say they were not informed of the nature of the work. It turned out, the work involved reading and viewing the above mentioned harmful content and categorizing it accordingly so that ChatGPT’s artificial intelligence could learn it for purposes of its future interactions with people.
Also read: Vera Sidika sympathizes with ex-lover Otile Brown over loss of unborn child
“Throughout the contract of training ChatGPT, we were not afforded psychosocial support. Due to the exposure of this kind of work, we have developed severe mental illnesses inclusing post traumatic stress disorder, depression, anxiety, insomnia and sexual dysfunction to name a few,” the petitioners said.
They also revealed that the contract between OpenAI and Samasource was terminated and they were let go without receiving all their dues. They also complained of poor pay for outsourced workers who are working for foreign fortune 500 companies who are globally successful.
“The outsourcing model has proven to be harmful for tech workers as the outsourced workers are treated poorly and not afforded the same protection as full-time employees. They are engaged and cast aside at will while simultaneously being required to carry out very harmful work at poor pay. Efforts to have the matter addressed by the concerned parties have not borne fruit,” the petitioners further said.
The petitioners have also called on Parliament to investigate the conditions outsourced Kenyan workers are being subjected to by big tech companies looking for content moderators and other artificial intelligence work.
Also read: Rapper DNA joins Jua Cali in criticizing Njugush’s style of comedy
“We also pray that Parliament interrogates the role of the Ministry of Labor in the protection or otherwise of Kenyan youth who were working for Sama and other companies, on behalf of technological companies based outside Kenya. We also pray Parliament makes recommendations to bring to an end any further exploitation of Kenyan youth and make proposals for the withdrawal of licenses of companies that contribute to the exploitation of Kenyan youth,” said the petitioners.
The petitioners also wanted legislation enacted to regulate the outsourcing of harmful technological work and protection workers engaged through outsourcing arrangements, amend the Employment Act 2007 to offer protection to outsourced workers, ament the Occupational Health Act to include exposure to harmful content as an occupational hazard and make appropriate recommendations to address their petition.
They are yet to go to court to sue Samasource and OpenAI.
ChatGPT, an Artificial Intelligence system, is one of the most popular AI in the world. It is a product of the OpenAI company and is used by over 100 million users globally.
Also read: How daring shopkeeper single-handedly fought off armed robbers in Korogocho
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ChatGPT trainers want Parliament to probe exposure to harmful content
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ChatGPT trainers want Parliament probe exposure harmful content Nairobi News ChatGPT trainers want Parliament probe exposure harmful content Home Top News Chillax Life Hustle Sports Blog Videos Join Telegram Channel Telegram Connect Facebook Twitter Instagram TikTok Nairobi News Home Top News Chillax Life Hustle Sports Blog Videos Facebook Twitter Instagram TikTok 2 Alerts. ChatGPT trainers want Parliament probe exposure harmful content Updated 6 mins ago Section Nairobi Expressway closed Mlolongo protesters vandalise fence Updated 15 mins ago HustleNews ChatGPT trainers want Parliament probe exposure harmful content By Winnie Mabel July 12th, 2023 2 min read Share Facebook Twitter LinkedIn Email WhatsApp This illustration picture shows AI Artificial Intelligence smartphone app ChatGPT surrounded AI Apps Vaasa, June 6, 2023. PHOTO AFP Kenyan employees contracted train ChatGPTs algorithm calling National Assembly investigate OpenAI relation harmful content exposed outsourced workers including rape, bestialities, necrophilia, sexual violence children, murder suicides harmful content. Richard Mwaura, Mophat Okinyi, Alex Mwaura Bill Mulinya petitioners called Parliament look conditions service young Kenyans work foreign big tech companies outsource employees Kenyan companies. In instance, OpenAI outsourced workers Samasource Kenya EPZ Limited gave temporary contracts. The petitioners contracted clean ChatGPT informed nature work. It turned out, work involved reading viewing mentioned harmful content categorizing accordingly ChatGPTs artificial intelligence learn purposes future interactions people. Also read: Vera Sidika sympathizes exlover Otile Brown loss unborn child Throughout contract training ChatGPT, afforded psychosocial support. Due exposure kind work, developed severe mental illnesses inclusing post traumatic stress disorder, depression, anxiety, insomnia sexual dysfunction few, petitioners said. They revealed contract OpenAI Samasource terminated let receiving dues. They complained poor pay outsourced workers working foreign fortune 500 companies globally successful. The outsourcing model proven harmful tech workers outsourced workers treated poorly afforded protection fulltime employees. They engaged cast aside simultaneously required carry harmful work poor pay. Efforts matter addressed concerned parties borne fruit, petitioners said. The petitioners called Parliament investigate conditions outsourced Kenyan workers subjected big tech companies looking content moderators artificial intelligence work. Also read:Rapper DNA joins Jua Cali criticizing Njugushs style comedy We pray Parliament interrogates role Ministry Labor protection Kenyan youth working Sama companies, behalf technological companies based outside Kenya. We pray Parliament makes recommendations bring end exploitation Kenyan youth proposals withdrawal licenses companies contribute exploitation Kenyan youth, said petitioners. The petitioners wanted legislation enacted regulate outsourcing harmful technological work protection workers engaged outsourcing arrangements, amend Employment Act 2007 offer protection outsourced workers, ament Occupational Health Act include exposure harmful content occupational hazard appropriate recommendations address petition. They court sue Samasource OpenAI. ChatGPT, Artificial Intelligence system, popular AI world. It product OpenAI company 100 million users globally. 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https://ncrc.org/yahoo-finance-philanthropic-leaders-call-on-regulators-to-delay-changes-to-the-community-reinvestment-act-amid-coronavirus-pandemic/?utm_source=rss&utm_medium=rss&utm_campaign=yahoo-finance-philanthropic-leaders-call-on-regulators-to-delay-changes-to-the-community-reinvestment-act-amid-coronavirus-pandemic
| 2020-04-14T00:00:00 |
en
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Yahoo Finance: Philanthropic Leaders Call on Regulators to Delay Changes to the Community Reinvestment Act Amid Coronavirus Pandemic – NCRC
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Yahoo Finance: Philanthropic Leaders Call on Regulators to Delay Changes to the Community Reinvestment Act Amid Coronavirus Pandemic – NCRC
Skip to content Main Menu ProgramsMenu ToggleConsumer ServicesMenu ToggleHousing CounselingAge-Friendly BankingAffordable homes by GROWTHBusiness ServicesMenu ToggleDC Women’s Business CenterSmall Business Technical CenterAdvocacyMenu ToggleRace, Wealth & CommunityCommunity Reinvestment ActHealth EquityTraining AcademyIdeasMenu ToggleBlogResearchOn Our RadarRegulatory CommentsPolicy AgendaMembershipMenu ToggleJoinRenewMembers Sign inConferenceAboutMenu ToggleOur StoryStaff & BoardPress ReleasesIn the NewsCareersContact facebook twitter linkedin Main Menu ProgramsMenu ToggleConsumer ServicesMenu ToggleHousing CounselingAge-Friendly BankingAffordable homes by GROWTHBusiness ServicesMenu ToggleDC Women’s Business CenterSmall Business Technical CenterAdvocacyMenu ToggleRace, Wealth & CommunityCommunity Reinvestment ActHealth EquityTraining AcademyIdeasMenu ToggleBlogResearchOn Our RadarRegulatory CommentsPolicy AgendaMembershipMenu ToggleJoinRenewMembers Sign inConferenceAboutMenu ToggleOur StoryStaff & BoardPress ReleasesIn the NewsCareersContact facebook twitter linkedin Yahoo Finance: Philanthropic Leaders Call on Regulators to Delay Changes to the Community Reinvestment Act Amid Coronavirus PandemicBy NCRC / April 13, 2020 April 13, 2020 / On Our RadarFacebookTwitter Get the latest from We Media by email. What's Your Email Address? Yahoo Finance: April 2, 2020, Philanthropic Leaders Call on Regulators to Delay Changes to the Community Reinvestment Act Amid Coronavirus PandemicPresidents’ Council on Impact Investing asks regulators to “immediately suspend efforts that could severely undermine the CRA and rob communities of desperately needed support”The COVID-19 pandemic and the threat of a prolonged recession or even depression will inflict long-lasting damage on our most vulnerable communities, even in a best-case scenario where we can restrain the virus’ spread.Leaders and institutions are rightfully looking to marshal every available resource to aid our collective response. We must move decisively to keep people in their homes, protect the well-being of those most vulnerable, and prepare businesses to reopen when possible.“The Community Reinvestment Act is one of the most important tools we have to craft a successful and equitable recovery from our current crisis. CRA regulators recognized as much when they provided temporary clarifications that allow CRA capital to be deployed for emergency response. That was a laudable step, but now is not the time to cast doubt on the availability of these resources by overhauling the entire system. Leave a Comment Cancel ReplyYour email address will not be published. Required fields are marked *Type here..Get email updates from NCRCName*Email*Website This site uses Akismet to reduce spam. Learn how your comment data is processed.Support NCRC >> DonateGet our news and updates Email Address Submit Search for: Copyright © NCRC. Some Rights Reserved. Terms / Privacy / Code of Conduct / DMCA NCRC 740 15th Street, Suite 400, Washington DC 20005 | 202 628-8866AboutCareersMembershipContact
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Yahoo Finance: Philanthropic Leaders Call on Regulators to Delay Changes to the Community Reinvestment Act Amid Coronavirus Pandemic
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Yahoo Finance: Philanthropic Leaders Call Regulators Delay Changes Community Reinvestment Act Amid Coronavirus Pandemic NCRC Skip content Main Menu ProgramsMenu ToggleConsumer ServicesMenu ToggleHousing CounselingAgeFriendly BankingAffordable homes GROWTHBusiness ServicesMenu ToggleDC Womens Business CenterSmall Business Technical CenterAdvocacyMenu ToggleRace, Wealth CommunityCommunity Reinvestment ActHealth EquityTraining AcademyIdeasMenu ToggleBlogResearchOn Our RadarRegulatory CommentsPolicy AgendaMembershipMenu ToggleJoinRenewMembers Sign inConferenceAboutMenu ToggleOur StoryStaff BoardPress ReleasesIn NewsCareers facebook twitter linkedin Main Menu ProgramsMenu ToggleConsumer ServicesMenu ToggleHousing CounselingAgeFriendly BankingAffordable homes GROWTHBusiness ServicesMenu ToggleDC Womens Business CenterSmall Business Technical CenterAdvocacyMenu ToggleRace, Wealth CommunityCommunity Reinvestment ActHealth EquityTraining AcademyIdeasMenu ToggleBlogResearchOn Our RadarRegulatory CommentsPolicy AgendaMembershipMenu ToggleJoinRenewMembers Sign inConferenceAboutMenu ToggleOur StoryStaff BoardPress ReleasesIn NewsCareers facebook twitter linkedin Yahoo Finance: Philanthropic Leaders Call Regulators Delay Changes Community Reinvestment Act Amid Coronavirus PandemicBy NCRC April 13, 2020 April 13, 2020 On Our RadarFacebookTwitter Get latest We Media email. Whats Your Email Address? Yahoo Finance: April 2, 2020, Philanthropic Leaders Call Regulators Delay Changes Community Reinvestment Act Amid Coronavirus PandemicPresidents Council Impact Investing asks regulators immediately suspend efforts severely undermine CRA rob communities desperately needed supportThe COVID19 pandemic threat prolonged recession depression inflict longlasting damage vulnerable communities, bestcase scenario restrain virus spread.Leaders institutions rightfully looking marshal available resource aid collective response. We decisively people homes, protect wellbeing vulnerable, prepare businesses reopen possible.The Community Reinvestment Act important tools craft successful equitable recovery current crisis. CRA regulators recognized provided temporary clarifications allow CRA capital deployed emergency response. That laudable step, time cast doubt availability resources overhauling entire system.Leave Comment Cancel ReplyYour email address published. Required fields marked Type here..Get email updates NCRCNameEmailWebsite This site uses Akismet reduce spam. Learn comment data processed.Support NCRC >> DonateGet news updates Email Address Submit for: NCRC. Some Rights Reserved. Terms Privacy Code Conduct DMCA NCRC 740 15th Street, Suite 400, Washington DC 20005 202 6288866AboutCareersMembership
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https://neptunepine.com/global-artificial-intelligence-platform-market-2020-2029-2/
| 2020-05-23T00:00:00 |
en
|
Global Artificial Intelligence Platform Market Analysis,By Technology, Application and Region and Forecast (2020-2029) - Neptune Pine
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Global Artificial Intelligence Platform Market Analysis,By Technology, Application and Region and Forecast (2020-2029) - Neptune Pine About UsBecome a ContributorContact UsOur TeamPrivacy Policy Neptune PineBusinessHealthWired ReleaseTechnology Global Artificial Intelligence Platform Market Analysis,By Technology, Application and Region and Forecast (2020-2029) Posted on May 23, 2020 by Richard Corley 0 Comments0 The market research industry gives a complete investigation of the global Artificial Intelligence Platform market for the predicted forecast period 2020-2029. The Artificial Intelligence Platform market research study delivers deep insights into the various market segments based on end-use, types, and geography. The latest Artificial Intelligence Platform report covers the current COVID-19 impact on the market features, volume and growth, segmentation, geographical and country categorizations, competitive landscape, trends, and plans for this market. The pandemic of Coronavirus (COVID-19) has influenced every perspective of life globally. The report provides a basic introduction of the industry artificial intelligence platform including its definition, applications, and manufacturing technology. The analysis report on the Artificial Intelligence Platform market includes both qualitative as well as quantitative details that exclusively concentrating on the different parameters such as Artificial Intelligence Platform market risk factors, difficulties, technical developments, new opportunities available in artificial intelligence platform report.Here, we have listed some important key structures and Analysis Techniques of Artificial Intelligence Platform Market Report: https://market.us/report/artificial-intelligence-platform-market/request-sample/**Note: Our Complimentary Sample Report Accommodate a Brief Introduction To The Synopsis, TOC, Detailed List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology**The worldwide market that compares to the Artificial Intelligence Platform market size, market share, increase factor, key vendors, revenue, product demand, sales size, quantity, cost structure, and development in the Artificial Intelligence Platform Market. The goal of this report is to include historical, present, and coming trends for artificial intelligence platform supply, market volume, prices, trading, competition, and value chain. The market report documents all global important business players joined with their company profiles, size, product value, product specifications, capability. It provides a comprehensive analysis of key features of the global Artificial Intelligence Platform market .Artificial Intelligence Platform market report will be taken as an essential guide for the users so that they can clearly understand each and every factor related to the artificial intelligence platform market. It concentrates on the examination of the current market and forthcoming innovations, to provide better insights for the businesses.The competitive market place has been analyzed for the Major Market Players Covered In This Report: Amazon Web Services, Salesforce, HPE, SAP, Microsoft, Intel, Qualcomm, Infosys, Absolutdata, Ayasdi, IBM, Wipro and GoogleMarket Segment By Types:Cloud and On-premisesMarket Segment By Applications : Chatbots, Speech Recognition, Forecasts and Prescriptive Models, Text Recognition and Others (face detection and sentiment analysis)Key Regions split during this report:North America (the USA, North American country and Mexico)Europe (Germany, France, UK, Russia and Italy)Asia-Pacific (India, China, Japan, Korea and Southeast Asia)South America ( Columbia, Brazil, Argentinaetc.)The Middle East and continent (Saudi Arabian Peninsula, UAE, Egypt, African country and South Africa)Artificial Intelligence Platform Report Covers Following Questions:What will the market growth rate, growth momentum of Artificial Intelligence Platform marketWhat is the estimated size of emerging Artificial Intelligence Platform market in 2029?Which segment is expected to account for the largest Artificial Intelligence Platform market share by 2029?What are sales, revenue, and value analysis by regions of Artificial Intelligence Platform market?What are the market risk, market opportunity and market overview of the Artificial Intelligence Platform market?Who are the distributors, dealers, and traders of Artificial Intelligence Platform market?Get A Customized Artificial Intelligence Platform Marke Report Here: https://market.us/report/artificial-intelligence-platform-market/#inquiryAbout Market.us:Market.US specializes in in-depth market research and analysis and has been proving its mettle as a consulting and customized market research company, apart from being a much sought-after syndicated market research report providing firm. Market.US provides customization to suit any specific or unique requirement and tailor-makes reports as per request. We go beyond boundaries to take analytics, analysis, study, and outlook to newer heights and broader horizons. We offer tactical and strategic support, which enables our esteemed clients to make well-informed business decisions and chart out future plans and attain success every single time. Besides analysis and scenarios, we provide insights into global, regional, and country-level information and data, to ensure nothing remains hidden in any target market. Our team of tried and tested individuals continues to break barriers in the field of market research as we forge forward with a new and ever-expanding focus on emerging markets.Get in Touch with Us : Mr. Benni JohnsonMarket.us (Powered By Prudour Pvt. Ltd.)Send Email: [email protected]: 420 Lexington Avenue, Suite 300 New York City, NY 10170, United StatesTel: +1 718 618 4351Website: https://market.us Richard Corley View all posts Business Share: Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Save my name, email, and website in this browser for the next time I comment. Previous PostLatanoprost Market COVID-19(Coronavirus) Expected to Change The Business Environment | Pfizer, Mylan, Novartis Next PostAnesthesia Video Laryngoscope Market Complete Research Report, Industry, Growth, Trend,Forecast 2020-2029 Top NewsCoronavirus VaccineHere’s Why 2020 Could Be Another Big Year for Coronavirus (Covid-19) Vaccine MarketTrending What symptoms are affecting on Bioresmethrin Market during Coronavirus (COVID-19)? May 23, 2020 Top areas affected by Coronavirus (COVID-19) on African Horse Sickness Treatment Market Share, Size, Trends and Opportunities 2020-2029 May 23, 2020 Agrigenomics Market COVID-19(Coronavirus) Expected to Change The Business Environment | Thermo Fisher Scientific, Illumina, Agilent Technologies May 23, 2020 Anesthesia Video Laryngoscope Market Complete Research Report, Industry, Growth, Trend,Forecast 2020-2029 May 23, 2020 Global Artificial Intelligence Platform Market Analysis,By Technology, Application and Region and Forecast (2020-2029) May 23, 2020 Latanoprost Market COVID-19(Coronavirus) Expected to Change The Business Environment | Pfizer, Mylan, Novartis May 23, 2020 Ricks and challenges Coronavirus (COVID-19) Impact on Advance Wound Dressing Market Size, Status, Trends and Forecast 2020-2029 May 23, 2020CategoriesAgriculture (83)Automotive (193)Business (27,684)Business and Health (4)Busniess (98)Chemical & Material (2)Chemical And Materials (11)Chemicals and Materials (991)Consumer Electronics (2)Consumer Goods (353)Defense (3)Electronics (257)Energy (36)Energy and Mining (118)Equipment (76)Equipment and Machinery (78)Financial Services (2)Food (1)Food & Beverage (1)Food and Beverages (436)Health (1,326)Healthcare (789)https://market.biz/checkout/?reportId=372048&type=SingleUser (1)ICT (1)Machines (309)Manufacturing & Construction (2)Manufacturing and Construction (255)Market Research (267)Medical Devices (619)Metals And Minerals (2)Pharmaceutical (4)Pharmaceuticals and Healthcare (314)research (1)Science (3,186)Semiconductor And Electronics (1)Software & Services (1)Software and Services (98)Technology (3,324)Technology & Media (4)Technology and Media (23)Wired Release (4,993)WiredRelease (5,577) © 2019 | Neptune Pine back to top
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Global Artificial Intelligence Platform Market Analysis,By Technology, Application and Region and Forecast (2020-2029)
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Global Artificial Intelligence Platform Market Analysis,By Technology, Application Region Forecast 20202029 Neptune Pine Become Contributor UsOur Team Neptune PineBusinessHealthWired ReleaseTechnology Global Artificial Intelligence Platform Market Analysis,By Technology, Application Region Forecast 20202029 Posted May 23, 2020 Richard Corley 0 Comments0 The market research industry gives complete investigation global Artificial Intelligence Platform market predicted forecast period 20202029. The Artificial Intelligence Platform market research study delivers deep insights market segments based enduse, types, geography. The latest Artificial Intelligence Platform report covers current COVID19 impact market features, volume growth, segmentation, geographical country categorizations, competitive landscape, trends, plans market. The pandemic Coronavirus COVID19 influenced perspective life globally. The report provides basic introduction industry artificial intelligence platform including definition, applications, manufacturing technology. The analysis report Artificial Intelligence Platform market includes qualitative quantitative details exclusively concentrating different parameters Artificial Intelligence Platform market risk factors, difficulties, technical developments, new opportunities available artificial intelligence platform report.Here, listed important key structures Analysis Techniques Artificial Intelligence Platform Market Report: Our Complimentary Sample Report Accommodate Brief Introduction To The Synopsis, TOC,DetailedList Tables Figures, Competitive Landscape Geographic Segmentation, Innovation Future Developments Based Research MethodologyThe worldwide market compares Artificial Intelligence Platform market size, market share, increase factor, key vendors, revenue, product demand, sales size, quantity, cost structure, development Artificial Intelligence Platform Market. The goal report include historical, present, coming trends artificial intelligence platform supply, market volume, prices, trading, competition, value chain. The market report documents global important business players joined company profiles, size, product value, product specifications, capability. It provides comprehensive analysis key features global Artificial Intelligence Platform market .Artificial Intelligence Platform market report taken essential guide users clearly understand factor related artificial intelligence platform market. It concentrates examination current market forthcoming innovations, provide better insights businesses.The competitive market place analyzed Major Market Players Covered In This Report: Amazon Web Services, Salesforce, HPE, SAP, Microsoft, Intel, Qualcomm, Infosys, Absolutdata, Ayasdi, IBM, Wipro GoogleMarket Segment By Types:Cloud OnpremisesMarket Segment By Applications : Chatbots, Speech Recognition, Forecasts Prescriptive Models, Text Recognition Others face detection sentiment analysisKey Regions split report:North America USA, North American country MexicoEurope Germany, France, UK, Russia ItalyAsiaPacific India, China, Japan, Korea Southeast AsiaSouth America Columbia, Brazil, Argentinaetc.The Middle East continent Saudi Arabian Peninsula, UAE, Egypt, African country South AfricaArtificial Intelligence PlatformReport Covers Following Questions:What market growth rate, growth momentum Artificial Intelligence Platform marketWhat estimated size emerging Artificial Intelligence Platform market 2029?Which segment expected account largest Artificial Intelligence Platform market share 2029?What sales, revenue, value analysis regions Artificial Intelligence Platform market?What market risk, market opportunity market overview Artificial Intelligence Platform market?Who distributors, dealers, traders Artificial Intelligence Platform market?Get A Customized Artificial Intelligence Platform Marke Report Here: Market.us:Market.US specializes indepth market research analysis proving mettle consulting customized market research company, apart soughtafter syndicated market research report providing firm. Market.US provides customization suit specific unique requirement tailormakes reports request. We boundaries analytics, analysis, study, outlook newer heights broader horizons. We offer tactical strategic support, enables esteemed clients wellinformed business decisions chart future plans attain success single time. Besides analysis scenarios, provide insights global, regional, countrylevel information data, ensure remains hidden target market. Our team tried tested individuals continues break barriers field market research forge forward new everexpanding focus emerging markets.Get Touch Us :Mr. Benni JohnsonMarket.us Powered By Prudour Pvt. Ltd.Send Email:inquiry420 Lexington Avenue, Suite 300 New York City, NY 10170, United StatesTel:1 718 618 4351Website: Richard Corley View posts Business Share: Leave Reply Cancel replyYour email address published. Required fields marked Save name, email, website browser time I comment. Previous PostLatanoprost Market COVID19Coronavirus Expected Change The Business Environment Pfizer, Mylan, Novartis Next PostAnesthesia Video Laryngoscope Market Complete Research Report, Industry, Growth, Trend,Forecast 20202029 Top NewsCoronavirus VaccineHeres Why 2020 Could Be Another Big Year Coronavirus Covid19 Vaccine MarketTrending What symptoms affecting Bioresmethrin Market Coronavirus COVID19? May 23, 2020 Top areas affected Coronavirus COVID19 African Horse Sickness Treatment Market Share, Size, Trends Opportunities 20202029 May 23, 2020 Agrigenomics Market COVID19Coronavirus Expected Change The Business Environment Thermo Fisher Scientific, Illumina, Agilent Technologies May 23, 2020 Anesthesia Video Laryngoscope Market Complete Research Report, Industry, Growth, Trend,Forecast 20202029 May 23, 2020 Global Artificial Intelligence Platform Market Analysis,By Technology, Application Region Forecast 20202029 May 23, 2020 Latanoprost Market COVID19Coronavirus Expected Change The Business Environment Pfizer, Mylan, Novartis May 23, 2020 Ricks challenges Coronavirus COVID19 Impact Advance Wound Dressing Market Size, Status, Trends Forecast 20202029 May 23, 2020CategoriesAgriculture 83Automotive 193Business 27,684Business Health 4Busniess 98Chemical Material 2Chemical And Materials 11Chemicals Materials 991Consumer Electronics 2Consumer Goods 353Defense 3Electronics 257Energy 36Energy Mining 118Equipment 76Equipment Machinery 78Financial Services 2Food 1Food Beverage 1Food Beverages 436Health 1,326Healthcare 789 1ICT 1Machines 309Manufacturing Construction 2Manufacturing Construction 255Market Research 267Medical Devices 619Metals And Minerals 2Pharmaceutical 4Pharmaceuticals Healthcare 314research 1Science 3,186Semiconductor And Electronics 1Software Services 1Software Services 98Technology 3,324Technology Media 4Technology Media 23Wired Release 4,993WiredRelease 5,577 2019 Neptune Pine
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https://neptunepine.com/global-temporary-bonding-adhesives-market-covid-19-latest-research/
| 2020-05-28T00:00:00 |
en
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Impact of COVID-19 on Global Temporary Bonding Adhesives Market Developing Revenue (2020-2029) || 3M Company, Henkel Corporation, AI Technology Inc - Neptune Pine
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Impact of COVID-19 on Global Temporary Bonding Adhesives Market Developing Revenue (2020-2029) || 3M Company, Henkel Corporation, AI Technology Inc - Neptune Pine About UsBecome a ContributorContact UsOur TeamPrivacy Policy Neptune PineBusinessHealthWired ReleaseTechnology Impact of COVID-19 on Global Temporary Bonding Adhesives Market Developing Revenue (2020-2029) || 3M Company, Henkel Corporation, AI Technology Inc Posted on May 28, 2020 by Richard Corley 0 Comments0 The motive of this research report entitled Global Temporary Bonding Adhesives Market Which offers business accounts, industry investors, and industry segments with consequential insights to enable them to make reliable strategic decisions regarding the opportunities in the global Temporary Bonding Adhesives market.The research includes primary information about the product such as Temporary Bonding Adhesives scope, segmentation, perspective. Similarly, it includes supply-demand statistics, Temporary Bonding Adhesives investment feasibleness and segments that constrain the growth of an industry. Especially, it offers Temporary Bonding Adhesives product demand, yearly proceedings, and growth phase of the industry. The expected Temporary Bonding Adhesives market area along with the provides ones helps key vendors, decision-makers, and professionals to plan different Temporary Bonding Adhesives business policies accordingly.Get FREE Research Sample With COVID-19 Updates @ https://market.us/report/temporary-bonding-adhesives-market/request-sampleNote:- Research Report is Updated After COVID-19 CrisisThe report offers a multi-step view of the Global Temporary Bonding Adhesives Market. The first approach focuses on the impression of the market. This passage includes several definitions, arrangements, the chain assembly of the industry in one piece, and the various segmentation on the basis of type, sales category, sales channel, and region along with different geographic regions for the global market.Top Manufacturers Updates Beside COVID-19 Updates :- 3M Company, Henkel Corporation, AI Technology Inc, SUSS MicroTec, Brewer Science Inc., Dow Chemical Company, Thin Materials AG, I. du Pont de Nemours and Company (DuPont), Nitto Denko, Valtech CorporationThis part of the section also integrates an all-inclusive analysis of the different government strategies and enlargement plans that influence the market, its cost assemblies, and industrialized processes. The second subdivision of the report includes analytics on the Global Temporary Bonding Adhesives Market based on its revenue size in terms of value and volume.Temporary Bonding Adhesives Market Segment By Types:- Wax, Silicones, Thermoplastics, Modified Epoxy, OthersTemporary Bonding Adhesives Market Segment By Applications:- Semiconductor, 3D Integrated Circuits, CMOS Image Sensors, Light-emitting Diodes (LED), Memory and Logic Chips, Others, Manufacturing, Other IndustrialAny Query Will Be Resolved With Any Hassle @ https://market.us/report/temporary-bonding-adhesives-market/#inquiryThe industry intelligence study of the Temporary Bonding Adhesives market covers the estimation size of the market each in phrases of value (Mn/Bn USD) and volume (x units). In a bid to recognize the boom possibilities inside the global Temporary Bonding Adhesives market, the market research has been geographically segmented into crucial regions which can be progressing faster than the complete market. Each phase of the Temporary Bonding Adhesives market has been individually studied on the premise of pricing, distribution, and demand prospect for the worldwide regions.– North America (United States, Canada)– Europe (Germany, Spain, France, UK, Russia, and Italy)– Asia-Pacific (China, Japan, India, Australia, and South Korea)– Latin America (Brazil, Mexico, etc.)– The Middle East and Africa (GCC and South Africa)Global Temporary Bonding Adhesives Report Mainly Covers the Following Chapters:Chapter 1 – Temporary Bonding Adhesives Industry OverviewChapter 2 – Temporary Bonding Adhesives Region and Country Market AnalysisChapter 3 – Temporary Bonding Adhesives Technical Data and Manufacturing Plants AnalysisChapter 4 – Temporary Bonding Adhesives Production by Regions by Technology by ApplicationsChapter 5 – Temporary Bonding Adhesives Manufacturing Process and Cost StructureChapter 6 – Temporary Bonding Adhesives Productions Supply Sales Demand Market Status and ForecastChapter 7 – Temporary Bonding Adhesives Key success factors and Market OverviewChapter 8 – Temporary Bonding Adhesives Research Methodology and About UsChapter 9 – Appendix.To Purchase, Premium Report Click the Link @ https://market.us/purchase-report/?report_id=29733In conclusion, the Temporary Bonding Adhesives market report divulges research discoveries, results, conclusions. Likewise, it reveals different Temporary Bonding Adhesives information origins, traders/distributors, suppliers, manufacturers, sales channels, and appendix. In a word, the complete Temporary Bonding Adhesives report is a worthwhile document for people interested in the Global Temporary Bonding Adhesives market.CONTACT US :Mr. Benni JohnsonMarket.us (Powered By Prudour Pvt. Ltd.)Email: [email protected]:420 Lexington Avenue,Suite 300 New York City,NY 10170, United StatesTel: +1 718 618 4351Website: https://market.usMore Related Reports Here:Movie Merchandise Market to Register High Revenue Growth at 9.6% CAGR | 2028Specific Equipment Reports @ https://chemicalmarketreports.com/ Richard Corley View all posts Business Share: Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Save my name, email, and website in this browser for the next time I comment. Previous PostImpact of COVID-19 on Global Paint Protection Film Market Research Segment (2020-2029) || 3M Company, Eastman, Avery Denison Next PostButene Propylene Copolymer Market 2020| COVID 19 Impact and future work situation Analysis By: Mitsui Chemicals, Lyondellbasell and Sinopec Top NewsCoronavirus VaccineHere’s Why 2020 Could Be Another Big Year for Coronavirus (Covid-19) Vaccine MarketTrending Global Medium Voltage Power Cable Market Analysis,By Technology, Application and Region and Forecast (2020-2029) May 28, 2020 Image Sensors Market Latest Innovations, Industry Challenges, Drivers and Forecast to 2029 May 28, 2020 Wiper Arm Market COVID-19(Coronavirus) Expected to Change The Business Environment | DYNA, WESTWARD, WEXCO May 28, 2020 Global Helmets Market Industry Size, Future Growth Analysis by 2029 May 28, 2020 Butter Knife Market 2020| COVID-19 Impact Analysis And Isolation Strategies By Groupe SEB, Kai Corporation and Zwilling JA Henckels May 28, 2020 Image Sensor and Color Sensor Market Industry Growth Analysis & Forecast by 2029 May 28, 2020 Shows Effects of COVID-19 Global Cream and Cream Cheese and Processed Cheese Market Statistics and Growth to 2029 Analysis May 28, 2020CategoriesAgriculture (83)Automotive (193)Business (28,412)Business and Health (4)Busniess (98)Chemical & Material (2)Chemical And Materials (11)Chemicals and Materials (991)Consumer Electronics (2)Consumer Goods (353)Defense (3)Electronics (257)Energy (36)Energy and Mining (118)Equipment (76)Equipment and Machinery (78)Financial Services (2)Food (1)Food & Beverage (1)Food and Beverages (436)Health (1,344)Healthcare (789)https://market.biz/checkout/?reportId=372048&type=SingleUser (1)ICT (1)Machines (309)Manufacturing & Construction (2)Manufacturing and Construction (255)Market Research (267)Medical Devices (619)Metals And Minerals (2)Pharmaceutical (4)Pharmaceuticals and Healthcare (314)research (1)Science (3,210)Semiconductor And Electronics (1)Software & Services (1)Software and Services (98)Technology (3,340)Technology & Media (4)Technology and Media (23)Wired Release (5,054)WiredRelease (5,737) © 2019 | Neptune Pine back to top
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Impact of COVID-19 on Global Temporary Bonding Adhesives Market Developing Revenue (2020-2029)
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Impact COVID19 Global Temporary Bonding Adhesives Market Developing Revenue 20202029 3M Company, Henkel Corporation, AI Technology Neptune Pine Become Contributor UsOur Team Neptune PineBusinessHealthWired ReleaseTechnology Impact COVID19 Global Temporary Bonding Adhesives Market Developing Revenue 20202029 3M Company, Henkel Corporation, AI Technology Posted May 28, 2020 Richard Corley 0 Comments0 The motive research report entitled Global Temporary Bonding Adhesives Market Which offers business accounts, industry investors, industry segments consequential insights enable reliable strategic decisions opportunities global Temporary Bonding Adhesives market.The research includes primary information product Temporary Bonding Adhesives scope, segmentation, perspective. Similarly, includes supplydemand statistics, Temporary Bonding Adhesives investment feasibleness segments constrain growth industry. Especially, offers Temporary Bonding Adhesives product demand, yearly proceedings, growth phase industry. The expected Temporary Bonding Adhesives market area provides ones helps key vendors, decisionmakers, professionals plan different Temporary Bonding Adhesives business policies accordingly.Get FREE Research Sample With COVID19 Updates @ Research Report Updated After COVID19 CrisisThe report offers multistep view Global Temporary Bonding Adhesives Market. The approach focuses impression market. This passage includes definitions, arrangements, chain assembly industry piece, segmentation basis type, sales category, sales channel, region different geographic regions global market.Top Manufacturers Updates Beside COVID19 Updates : 3M Company, Henkel Corporation, AI Technology , SUSS MicroTec, Brewer Science ., Dow Chemical Company, Thin Materials AG, I. du Pont Nemours Company DuPont, Nitto Denko, Valtech CorporationThis section integrates allinclusive analysis different government strategies enlargement plans influence market, cost assemblies, industrialized processes. The second subdivision report includes analytics Global Temporary Bonding Adhesives Market based revenue size terms value volume.Temporary Bonding Adhesives Market Segment By Types: Wax, Silicones, Thermoplastics, Modified Epoxy, OthersTemporary Bonding Adhesives Market Segment By Applications: Semiconductor, 3D Integrated Circuits, CMOS Image Sensors, Lightemitting Diodes LED, Memory Logic Chips, Others, Manufacturing, Other IndustrialAny Query Will Be Resolved With Any Hassle @ industry intelligence study Temporary Bonding Adhesives market covers estimation size market phrases value MnBn USD volume x units. In bid recognize boom possibilities inside global Temporary Bonding Adhesives market, market research geographically segmented crucial regions progressing faster complete market. Each phase Temporary Bonding Adhesives market individually studied premise pricing, distribution, demand prospect worldwide regions. North America United States, Canada Europe Germany, Spain, France, UK, Russia, Italy AsiaPacific China, Japan, India, Australia, South Korea Latin America Brazil, Mexico, etc. The Middle East Africa GCC South AfricaGlobal Temporary Bonding Adhesives Report Mainly Covers Following Chapters:Chapter 1 Temporary Bonding Adhesives Industry OverviewChapter 2 Temporary Bonding Adhesives Region Country Market AnalysisChapter 3 Temporary Bonding Adhesives Technical Data Manufacturing Plants AnalysisChapter 4 Temporary Bonding Adhesives Production Regions Technology ApplicationsChapter 5 Temporary Bonding Adhesives Manufacturing Process Cost StructureChapter 6 Temporary Bonding Adhesives Productions Supply Sales Demand Market Status ForecastChapter 7 Temporary Bonding Adhesives Key success factors Market OverviewChapter 8 Temporary Bonding Adhesives Research Methodology Chapter 9 Appendix.To Purchase, Premium Report Click Link @ conclusion, Temporary Bonding Adhesives market report divulges research discoveries, results, conclusions. Likewise, reveals different Temporary Bonding Adhesives information origins, tradersdistributors, suppliers, manufacturers, sales channels, appendix. In word, complete Temporary Bonding Adhesives report worthwhile document people interested Global Temporary Bonding Adhesives market.CONTACT US :Mr. Benni JohnsonMarket.us Powered By Prudour Pvt. Ltd.Email: inquiry Lexington Avenue,Suite 300 New York City,NY 10170, United StatesTel: 1 718 618 4351Website: Related Reports Here:Movie Merchandise Market High Revenue Growth 9.6 CAGR 2028Specific Equipment Reports @ Richard Corley View posts Business Share: Leave Reply Cancel replyYour email address published. Required fields marked Save name, email, website browser time I comment. Previous PostImpact COVID19 Global Paint Protection Film Market Research Segment 20202029 3M Company, Eastman, Avery Denison Next PostButene Propylene Copolymer Market 2020 COVID 19 Impact future work situation Analysis By: Mitsui Chemicals, Lyondellbasell Sinopec Top NewsCoronavirus VaccineHeres Why 2020 Could Be Another Big Year Coronavirus Covid19 Vaccine MarketTrending Global Medium Voltage Power Cable Market Analysis,By Technology, Application Region Forecast 20202029 May 28, 2020 Image Sensors Market Latest Innovations, Industry Challenges, Drivers Forecast 2029 May 28, 2020 Wiper Arm Market COVID19Coronavirus Expected Change The Business Environment DYNA, WESTWARD, WEXCO May 28, 2020 Global Helmets Market Industry Size, Future Growth Analysis 2029 May 28, 2020 Butter Knife Market 2020 COVID19 Impact Analysis And Isolation Strategies By Groupe SEB, Kai Corporation Zwilling JA Henckels May 28, 2020 Image Sensor Color Sensor Market Industry Growth Analysis Forecast 2029 May 28, 2020 Shows Effects COVID19 Global Cream Cream Cheese Processed Cheese Market Statistics Growth 2029 Analysis May 28, 2020CategoriesAgriculture 83Automotive 193Business 28,412Business Health 4Busniess 98Chemical Material 2Chemical And Materials 11Chemicals Materials 991Consumer Electronics 2Consumer Goods 353Defense 3Electronics 257Energy 36Energy Mining 118Equipment 76Equipment Machinery 78Financial Services 2Food 1Food Beverage 1Food Beverages 436Health 1,344Healthcare 789 1ICT 1Machines 309Manufacturing Construction 2Manufacturing Construction 255Market Research 267Medical Devices 619Metals And Minerals 2Pharmaceutical 4Pharmaceuticals Healthcare 314research 1Science 3,210Semiconductor And Electronics 1Software Services 1Software Services 98Technology 3,340Technology Media 4Technology Media 23Wired Release 5,054WiredRelease 5,737 2019 Neptune Pine
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] | 1 | 5,052 |
https://news.prairiepublic.org/2023-04-03/what-will-ai-mean-for-the-popular-app-be-my-eyes
| 2023-04-04T00:00:00 |
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What will AI mean for the popular app Be My Eyes? | Prairie Public Broadcasting
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What will AI mean for the popular app Be My Eyes? | Prairie Public Broadcasting
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What will AI mean for the popular app Be My Eyes?
By
Claire Murashima
Published April 3, 2023 at 4:13 AM CDT
Facebook
Twitter
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Listen • 3:18
Be My Eyes On the Be My Eyes app, blind and low-vision users connect with volunteers through video, to complete tasks like follow a recipe.
Updated April 4, 2023 at 4:48 AM ET
Brian Fischler is blind. He can tell whether it's light or dark outside, but that's about it.
"I grew up sighted like everybody, and I was diagnosed at 13 with retinitis pigmentosa," Fischler says. "And for me, the lights went out about 2009."
Fischler, a New York-based standup comedian and podcaster, has used the app Be My Eyes since it first came out eight years ago.
It relies on sighted volunteers to do tasks like describe holiday cards sent in the mail, or tell you whether that can in your cupboard is coconut milk or chicken soup.
/ Be My Eyes
/
Be My EyesBe My Eyes users can ask volunteers to describe necktie patterns, list the brands and types of sunscreen in a store, and identify the correct building for a certain address.
Or, in Fischler's case, to find an address in New York. "Here in New York City, you have a lot of businesses right on top of each other," Fischler says. "My guide dog can get me close to where I want to go, but he doesn't necessarily know what door I want to go to, especially if it's my first time going to a business."
The eyes of Be My Eyes? They come from the site's more than 6 million volunteers.
One of them is Steven Ellis of Goldsboro, North Carolina. Because he has visually impaired family members, he learned about the challenges of getting through life without the use of all five senses. When he signed up to volunteer for the app, Ellis connected with a user who couldn't connect his TV. The only way to tell the wires apart was by differentiating them by color, and he couldn't see.
Hans Jørgen Wiberg, a Danish furniture craftsman, created the app after he got tired of calling his friends and family to ask for help identifying things. (Wiberg is visually impaired.) He spent a couple years developing it, and the app launched in 2015.
But eight years later, there's a twist. As artificial intelligence, or AI, becomes more accessible, app creators are experimenting with an AI version using tech as well as human volunteers. Be My Eyes CEO Mike Buckley says the argument for AI is that it can do things people cannot.
"What if the AI ingested every service manual of every consumer product ever?," says Buckley. "And so you could tap into the AI and say, 'How do I hook up my Sony stereo?'" Furthermore, Buckley says, "we took a picture of our refrigerator and it not only told us what all the ingredients were but it told us what we could make for dinner."
But, he insists that AI won't completely replace the volunteers who make Be My Eyes so popular.
"I hope it ends up being 50-50 because I do think that there is going to be a desire for continued human connection," Buckley says. "There's some volunteer feedback we've gotten [that] when they actually get a call they talk about it as the best day of their week."
Brian Fischler, the stand-up comedian, is among a handful of users given early access to the AI portion of Be My Eyes. That part of the app is set to launch in a few months. So far, Fischler is impressed by its speed.
"It goes so above and beyond," he says. "It scanned the entire menu. But then I was able to ask follow up questions. I was in the mood for chicken and I was able to say, 'Just read me the chicken dishes.'"
But Fischler considers the AI portion to be a good complement to the app's human volunteers, rather than a replacement of them.
"I was a Terminator 2 kind of a guy where the machines rose up and they weren't exactly lovely and cuddly and helping us," Fischler says, referring to the 1991 film Terminator 2: Judgment Day. "So to have a tool like this which is going to be so valuable to so many millions of people around the world, and the fact that it's free is really, absolutely spectacular."
This story was edited for digital by Miranda Kennedy. Barry Gordemer edited the audio version. contributed to this story Copyright 2023 NPR. To see more, visit https://www.npr.org.
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Claire Murashima
Claire Murashima is a production assistant on Morning Edition and Up First. Before that, she worked on How I Built This, NPR's Team Atlas and Michigan Radio. She graduated from Calvin University.
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What will AI mean for the popular app Be My Eyes?
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What AI mean popular app Be My Eyes? Prairie Public Broadcasting Query Show Home Prairie Public Home NewsRoom Home Prairie Public Home NewsRoom Home About Us Jobs Opportunities Meet Radio Staff Membership Executive Staff Board Prairie Public History Pressroom Email Newsletters Us Jobs Opportunities Meet Radio Staff Membership Executive Staff Board Prairie Public History Pressroom Email Newsletters News Topics Local News Main Street Arts Culture Energy Environment Politics Government Local News Main Street Arts Culture Energy Environment Politics Government Radio Radio Programs AZ Radio Schedule Listen Online Podcasts Digital Series How Listen Radio Programs AZ Radio Schedule Listen Online Podcasts Digital Series How Listen Programs Dakota Datebook Dakota Datebook: Teachings Our Elders The Great American Folk Show Main Street Natural North Dakota North Dakota Legislative Review Plains Folk Prairie Public Presents Prebys Classics Why? 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Philosophical Discussions About Everyday Life All Programs Dakota Datebook Dakota Datebook: Teachings Our Elders The Great American Folk Show Main Street Natural North Dakota North Dakota Legislative Review Plains Folk Prairie Public Presents Prebys Classics Why? Philosophical Discussions About Everyday Life All Programs Support Membership Planned Giving Sponsorship Vehicle Donation Membership Planned Giving Sponsorship Vehicle Donation Community Community Calendar Submit An Event Community Calendar Submit An Event Shop What AI mean popular app Be My Eyes? By Claire Murashima PublishedApril 3, 2023 4:13 AM CDT Facebook Twitter LinkedIn Email Listen 3:18 Be My Eyes On Be My Eyes app, blind lowvision users connect volunteers video, complete tasks like follow recipe. Updated April 4, 2023 4:48 AM ET Brian Fischler blind. He tell light dark outside, thats it. I grew sighted like everybody, I diagnosed 13 retinitis pigmentosa, Fischler says. And me, lights went 2009. Fischler, New Yorkbased standup comedian podcaster, app Be My Eyes came years ago. It relies sighted volunteers tasks like holiday cards sent mail, tell cupboard coconut milk chicken soup. Be My Eyes Be My EyesBe My Eyes users ask volunteers necktie patterns, list brands types sunscreen store, identify correct building certain address. Or, Fischlers case, address New York. Here New York City, lot businesses right other, Fischler says. My guide dog close I want go, doesnt necessarily know door I want to, especially time going business. The eyes Be My Eyes? They come sites 6 million volunteers. One Steven Ellis Goldsboro, North Carolina. Because visually impaired family members, learned challenges getting life use senses. When signed volunteer app, Ellis connected user connect TV. The way tell wires apart differentiating color, see. Hans Jrgen Wiberg, Danish furniture craftsman, created app got tired calling friends family ask help identifying things. Wiberg visually impaired. He spent couple years developing it, app launched 2015. But years later, theres twist. As artificial intelligence, AI, accessible, app creators experimenting AI version tech human volunteers. Be My Eyes CEO Mike Buckley says argument AI things people cannot. What AI ingested service manual consumer product ever?, says Buckley. And tap AI say, How I hook Sony stereo? Furthermore, Buckley says, took picture refrigerator told ingredients told dinner. But, insists AI wont completely replace volunteers Be My Eyes popular. I hope ends 5050 I think going desire continued human connection, Buckley says. Theres volunteer feedback weve gotten [that] actually talk best day week. Brian Fischler, standup comedian, handful users given early access AI portion Be My Eyes. That app set launch months. So far, Fischler impressed speed. It goes beyond, says. It scanned entire menu. But I able ask follow questions. I mood chicken I able say, Just read chicken dishes. But Fischler considers AI portion good complement apps human volunteers, replacement them. I Terminator 2 kind guy machines rose werent exactly lovely cuddly helping us, Fischler says, referring 1991 film Terminator 2: Judgment Day. So tool like going valuable millions people world, fact free really, absolutely spectacular. This story edited digital Miranda Kennedy. Barry Gordemer edited audio version. contributed story 2023 NPR. To more, visit Facebook Twitter LinkedIn Email Claire Murashima Claire Murashima production assistant Morning Edition Up First. Before that, worked How I Built This, NPRs Team Atlas Michigan Radio. She graduated Calvin University. More Prairie Public Local News Massive storm expected rock eastern ND, Red River Valley Arts Culture Lorraine Davis Broken Spirits Arts Culture The Great American Folk Show: Episode 70 Politics Government North Dakota Legislative Review 2023 Rep. 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| 2,023 |
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https://news.sky.com/story/tony-blair-impact-of-ai-on-par-with-industrial-revolution-12917062
| 2023-07-07T00:00:00 |
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Tony Blair: Impact of AI on par with Industrial Revolution | Politics News | Sky News
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Tony Blair: Impact of AI on par with Industrial Revolution
In an interview with Sky News, the former prime minister discusses AI's potential to change the way we live and why governments must work with each other and innovators to work out how to harness the technology.
By Kamali Melbourne, Sky News presenter
Friday 7 July 2023 20:18, UK
Audio created using AI assistance
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7:30
Sir Tony Blair sits down with Sky News to discuss AI
Why you can trust Sky News
When it comes to the topic of artificial intelligence, Sir Tony Blair is clear on the technology's potential to change the way we live."I think it is on a par with the 19th-century Industrial Revolution," he says.
"I think it [technology] already was, but generative AI has given it a further push forward."The former prime minister's eponymous institute is writing papers on AI, while he has given talks and penned newspaper opinion pieces on the technology.Sir Tony wants us to understand the risk as well as the reward.
"It is a technology that is, simultaneously, very good but potentially very bad," he tells me."The advantages are massive. It can transform the way we live and work, it can do enormous things in healthcare and education; in the way government configures itself."It is going to change business work - it should increase productivity dramatically."On the other hand, you can get disinformation deepfakes, people using it for example to create bio-terror weapons.
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"How does government need to approach it? It needs to understand it, master it and harness it. Access the opportunities, mitigate the risks."The question that prompts that answer was written by the AI chatbot, ChatGPT.
Image:
ChatGPT. File pic
It asks Sir Tony for his views on the potential benefits and risks of AI, and how governments and societies should deal with such a rapidly advancing technology."Well, that's a pretty obvious question," he replies.Nevertheless, he answers.I ask him to describe the moment we find ourselves in."This is akin to the industrial revolution," he says. "Just as that moment changed humanity, changed the state, this moment and generative AI will do that too."And are we ready for it? Here, he is more careful in his response.When asked if politicians in the UK have been naïve, he says no, but says there has been ignorance of the power and use of the technology."Part of the problem is you've got the changemakers in one room and the policymakers in the other," he says.The US, China, and the private sector have stolen a march - and Sir Tony says countries such as Singapore are catching up with the UK too.Read more:Artificial intelligence 'doesn't have capability to take over'ChatGPT gets major knowledge upgradeMartin Lewis warns against 'frightening' AI-generated scam video
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5:32
Could AI replace news organisations?
"China is a leader in the AI field. The 21st century is going to be shaped by the competition between the two [China and US]."But Sir Tony says the competing superpowers will have to find a way to work together - particularly on climate change and global health."Is it possible to do that in technology? I don't know."And what about the UK, can it still be a leader?"We are strong at life science, we are strong in climate, we are strong in AI itself," he tells me."We need to keep our universities strong, we need to invest heavily in the infrastructure, build our computing capacity."There is a lot to do, and it has to be driven from the top."One positive, Sir Tony says, is the UK's hosting of a major AI conference this autumn.
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"One of the reasons I think it is a good idea is to explore all the different possibilities in regulation and try to get the leading countries together," he says."At the very least, Europe and America should be trying to work together on this."
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0:57
Could AI have done Sir Tony Blair's job?
As a final question, I asked if AI could have done his job as prime minister."No. It couldn't have," he says with a smile.But there are parts of his job where AI would have been an aide, he says.
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Click to subscribe to the Sky News Daily wherever you get your podcasts"It could make decision-making much more efficient. It could replace some of the processes in government."Already around the world, for example, you have people using AI to do planning, you have one country in Europe now using it to do small claims, rather than going through an expensive court process."In the end, it is maybe best to look at it as an aide to the people making a decision."But in the end you have to keep the decision-making capability for the human, but it will be much better informed by the technology."As he leaves, Sir Tony tells me about how his kids have asked AI to make a rap song using the text of one of his speeches.Was it any good? He doesn't say...
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Tony Blair: Impact of AI on par with Industrial Revolution
|
Tony Blair: Impact AI par Industrial Revolution Politics News Sky News Skip content Sky News home Watch Live Home UK World Politics US Climate Science Tech Business Ents Arts Travel Offbeat Analysis Data Forensics Videos Weather More Home UK World Politics US Climate Science Tech Business Ents Arts Travel Offbeat Analysis Data Forensics Videos Weather Tony Blair: Impact AI par Industrial Revolution In interview Sky News, prime minister discusses AIs potential change way live governments work innovators work harness technology. By Kamali Melbourne, Sky News presenter Friday 7 July 2023 20:18, UK Audio created AI assistance Please use Chrome browser accessible video player 7:30 Sir Tony Blair sits Sky News discuss AI Why trust Sky News When comes topic artificial intelligence, Sir Tony Blair clear technologys potential change way live.I think par 19thcentury Industrial Revolution, says. I think [technology] was, generative AI given push forward.The prime ministers eponymous institute writing papers AI, given talks penned newspaper opinion pieces technology.Sir Tony wants understand risk reward. It technology is, simultaneously, good potentially bad, tells me.The advantages massive. It transform way live work, enormous things healthcare education; way government configures itself.It going change business work increase productivity dramatically.On hand, disinformation deepfakes, people example create bioterror weapons. Advertisement How government need approach it? It needs understand it, master harness it. Access opportunities, mitigate risks.The question prompts answer written AI chatbot, ChatGPT. Image: ChatGPT. File pic It asks Sir Tony views potential benefits risks AI, governments societies deal rapidly advancing technology.Well, thats pretty obvious question, replies.Nevertheless, answers.I ask moment in.This akin industrial revolution, says. Just moment changed humanity, changed state, moment generative AI too.And ready it? Here, careful response.When asked politicians UK nave, says no, says ignorance power use technology.Part problem youve got changemakers room policymakers other, says.The US, China, private sector stolen march Sir Tony says countries Singapore catching UK too.Read more:Artificial intelligence doesnt capability overChatGPT gets major knowledge upgradeMartin Lewis warns frightening AIgenerated scam video Please use Chrome browser accessible video player 5:32 Could AI replace news organisations? China leader AI field. The 21st century going shaped competition [China US].But Sir Tony says competing superpowers way work particularly climate change global health.Is possible technology? I dont know.And UK, leader?We strong life science, strong climate, strong AI itself, tells me.We need universities strong, need invest heavily infrastructure, build computing capacity.There lot do, driven top.One positive, Sir Tony says, UKs hosting major AI conference autumn. Be Breaking News Install Sky News app free One reasons I think good idea explore different possibilities regulation try leading countries together, says.At least, Europe America trying work this. Please use Chrome browser accessible video player 0:57 Could AI Sir Tony Blairs job? As final question, I asked AI job prime minister.No. It have, says smile.But parts job AI aide, says. Spreaker This content provided Spreaker, cookies technologies. To content, need permission use cookies. You use buttons amend preferences enable Spreaker cookies allow cookies once. You change settings time Privacy Options. Unfortunately unable verify consented Spreaker cookies. To view content use button allow Spreaker cookies session only. Enable Allow Once Click subscribe Sky News Daily podcastsIt decisionmaking efficient. It replace processes government.Already world, example, people AI planning, country Europe small claims, going expensive court process.In end, maybe best look aide people making decision.But end decisionmaking capability human, better informed technology.As leaves, Sir Tony tells kids asked AI rap song text speeches.Was good? He doesnt say... Related Topics Artificial IntelligenceTony Blairtechnology Facebook Twitter YouTube Instagram About Sky News Down Sky News International Sky News Library Sales Site Map Editorial Guidelines Sky News Board Sky News Services Down Sky News RSS Sky News For Your Phone Sky News Radio Sky Channels Down Sky 1 Sky Witness Sky Atlantic Sky Arts Sky Cinema Sky Sports More Sky Sites Down NOW Sky Zero Sky Academy Studios Bigger Picture Sky Group Sky Bet Sky News Arabia Advertise With Us Terms Conditions Privacy Privacy Options Accessibility Us 2023 Sky UK
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https://news.yahoo.com/israel-developing-ai-super-brain-172332524.html
| 2021-04-26T00:00:00 |
en
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Israel developing AI 'super-brain' to run automated attacks in battlefield
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Israel developing AI 'super-brain' to run automated attacks in battlefield HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SHOPPING YAHOO PLUS MORE... Download the Yahoo News app Yahoo News Search query Sign in Mail Sign in to view your mail News News COVID-19 COVID-19 US US Politics Politics World World Health Health Science Science Podcasts Podcasts Originals Originals The 360The 360 SkullduggerySkullduggery ConspiracylandConspiracyland Contact Us Contact Us Videos Videos MoreMore
Close this contentThe TelegraphIsrael developing AI 'super-brain' to run automated attacks in battlefieldRead full articleJames RothwellApril 25, 2021, 1:23 PM·4 min readA mock demonstration of the tool shows a tank with sensors and radars around itIsrael is developing an AI "super-brain" that uses an array of high-powered sensors to help tanks and robots patrol battlefields and find enemy targets, as it looks to a new age of warfare.The artificial intelligence, dubbed Athena after the Greek goddess of war, is in an early stage of development at Israel Aerospace Industries (IAI) but could be deployed within the next decade.The Daily Telegraph was given exclusive access to the Athena programme, including a mock demonstration of the “brain” being used by tanks in a combat scenario.In the scenario, Israeli Carmel tanks were fitted with the smartphone-sized AI, which collected data from infrared and radar sensors, among others, to tag enemy fighters hidden underground and in buildings on the battlefield. In an instant, the data was beamed to the commanding officer and turned into a “battle menu” with the best methods of attacking the targets.The Athena can also be plugged into the tanks’ fire control and manoeuvre systems, which would allow it to attack targets automatically, though the commanding officer makes the final decision on how to proceed.The Telegraph understands that IAI, Israel's state-owned defence firm, is also looking at fitting the Athena onto robotic vehicles that could automatically patrol border fences in search of intruders.Another image from the mock-up shows armoured vehicles patrollingThe country hopes AI defence systems will make its armies more efficient, as the machines can analyse a battlefield and generate a tactical battle plan much faster than a human mind. Senior officers in the Israel Defence Forces (IDF), which is also exploring AI warfare, said some aspects of the technology could be ready for real-world use as early as next year.“We are not very far from the basic level of getting an automatic awareness picture [of the battlefield],” said Colonel Eli Birenbaum, the head of the IDF’s military architecture department. “If you ask me [when it will happen], at the end of 2021, I think with 90 per cent accuracy that the answer is positive.”Story continuesCol Birenbaum said one of the key challenges in the future will be persuading soldiers to “trust the machine,” drawing comparisons with safety concerns over self-driving cars.The Athena device is just one of a number of “AI weapons” in development around the world, though the projects are generally shrouded in secrecy. They include drones and missile targeting devices, while experts point out that for many decades, armies have used weapons that automatically attack people, such as the landmine.A computer image indicates where the AI system would fit on a tank“There is a bit of an arms race underway between the US and China, while the Russians are also doing a lot of experiments but are quite a bit further behind,” explained Dr Jack Watling, an expert on land warfare at the Rusi defence think-tank in London.“It is realistic, and very much available, but not necessarily deployable. And this is partly because militaries are not necessarily sure of the ramifications of using it,” he added.Israel is not the only Western ally exploring AI warfare. In the United States, military cadets are programming tanks with algorithms to pop balloons representing enemy soldiers.Meanwhile, last November, the head of the British armed forces speculated that “robot” soldiers could make up around a quarter of the military by the 2030s. General Sir Nick Carter made the comment in an interview about UK defence funding, though he said he was not setting any particular target on a robot quota.It has been claimed that Israel deployed an AI-powered machine gun late last year to assassinate one of Iran’s top nuclear scientists. However, it has not responded to claims it was behind the attack and typically declines to comment on overseas military action. The scientist, Mohsen Fakhrizadeh, said to be the head of Iran’s nuclear programme, was reportedly killed by a satellite-controlled machine gun, which used artificial intelligence to target him.Over the weekend, tensions rose between Israel and the Palestinian territories after more than 30 rockets were fired from the Gaza strip into Israeli territory by Islamist militant groups.The rockets did not cause any deaths or injuries, though they did damage some property. The rocket barrage appeared to be in retaliation for clashes between Palestinians and an extremist Jewish group in east Jerusalem on Friday, which left more than a hundred people injured.
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Subscribe for free.The big picture: Navalny's imprisonment on charges of violating his parole, which came after he spent months in Germany recovering from an attempted poisoning by Russia's security services, has galvanized mass protests and international condemnation.Between the lines: Amnesty International has said that an extremist designation for Navalny's political and anti-corruption groups would represent "one of the most serious blows for the rights to freedom of expression and association in Russia’s post-Soviet history.”It would put the networks on par with the Islamic State, al-Qaeda and the Taliban in the eyes of the Russian authorities, according to the Washington Post.Members could be arrested, and those who donate to the group or spread its videos — which expose the corruption of Russian politicians and have gained millions of views online — could be accused of supporting terrorism.What to watch: Court proceedings begin on Monday, but evidence in the case has been kept hidden because it contains state secrets, prosecutors claim.What they're saying: “It reminds me of Soviet trials when someone was declared a spy or foreign agent and then there would be a secret closed trial,” Anti-Corruption Foundation director Ivan Zhdanov, who fled Russia earlier this year, told the Post. “Putin is trying to take Russia back into the Soviet past.”Like this article? 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The driver and his girlfriend were “kind enough” to pick them up. In reality, the driver was ordered to pick them up. The driver was smuggling these illegal immigrants from Mexico and Honduras after crossing through the Del Rio sector — territory of the Cartel del Noreste, a faction of Los Zetas. Among the passengers was a young teenage boy who had paid $4,000 to be transported to California to pick grapes for $13 an hour. However, the cartel had different plans. The boy learned they were actually headed to a stash house in Houston — where those who did not pay the full amount would have been held until the balance was paid, or they would be sold into trafficking. More recently, a female cartel victim was in the process of being trafficked when she was encountered by law enforcement in Kendall County, Texas, which contains Boerne. She knew that she was going to have to work for a while to pay her debt to the cartel that smuggled her, but she did not know what that work would be. Had she not been picked up by law enforcement, one can only imagine the horror she would have experienced at the hands of these monsters. Kendall County, Texas, has experienced at least five cases of cartel smuggling in recent months. Another case from April involved a 17-year-old trafficking two young females and a teenage boy. Seventeen-year-olds are recruited because they are treated as minors under federal law — making prosecutions harder against the cartels. The Cartel del Noreste charges roughly $12,000 for transport for someone from Mexico or Central America for entry to the United States through the Texas–Mexico border. If an individual is coming from the Middle East or Asia, it can be many times that amount. In March, Kendall County law enforcement stopped a vehicle where several passengers fled, leading to a pursuit. Occupants had only partially paid the cartels and were on their way to San Antonio, where their family would pay the remaining balance — totaling $11,000. The volume of the cartels’ trafficking operations should scare every American. In Kendall County, for example, cartel teams run at least three shifts — varying the times to avoid detection and transporting individuals per day. There are likely dozens, if not more, carloads moving through daily. Sources from inside DHS have also indicated some 26,000 illegal aliens got away with crossing the border last month in the Del Rio sector alone. These violent criminal organizations are notorious for committing brutal killings, and for threatening Mexican police and politicians to gain and maintain their power and their profits. This is clear in the Mexican state of Tamaulipas, which is now effectively run by cartel influence and will not cooperate with American immigration enforcement as a result. Now, an unprecedented surge of people entering illegally through the Texas–Mexico border, a direct result of this administration’s reckless policies, is enabling the further spread of cartel practices into America. And our law enforcement can only do so much to stop it. If a situation involving a cartel is intercepted and local law enforcement reaches out to ICE or DHS, local law enforcement is simply told to get as much information as possible and then to let everyone go. If DHS does opt to take up the case, and defines the case as smuggling, then the authorities are no longer allowed to detain their material witnesses and must get a full confession from those involved — which can be excruciatingly challenging when witnesses are victims at the hands of the cartels. As a current and former prosecutor, we can tell you that it gets harder every day to prosecute these cases, to get justice for victims of cartels, and to hold these criminals accountable. The massive flow of illegal migrants weakens the inability for border patrol to secure the border. And with interior enforcement overrun, cartels are proving they are in control of this crisis. They are profiting handsomely as a result. Now moving their operations further into our interior and into our communities, the cartels are profiting $10–14 million per day trafficking human beings and narcotics through our neighborhoods. This is no longer just a border problem; it’s a problem for the whole country. There are dangerous people doing horrible things to human beings for profit further and further away from our border and closer and closer to where most of us live. Cartel smugglers are becoming increasingly armed and increasingly emboldened as they expand their operations on U.S. soil. The children, women, and young men they prey on are human beings, but are being treated as political pawns by both the president and his allies in Congress, all to the empowerment of the criminals who endanger the lives of Americans and immigrants alike. Chaos isn’t compassion. It is time for the chaos to end. Nicole Bishop is the criminal district attorney for Kendall County, Texas. Chip Roy represents the 21st district of Texas in the U.S. House of Representatives.1h agoLions WireFrank Ragnow recognized as one of the top young players in the NFLFrank Ragnow is sitting at borderline elite status in the NFL, and Bleacher Report recognizes his status as one of the better young players2d agoAssociated PressFormer Raiders defensive back Mike Davis dies at age 65Mike Davis, the former Raiders defensive back who made one of the most memorable interceptions in team history, has died. The Raiders announced Davis' death Sunday. The former Colorado star was a second-round pick by the Raiders in 1977 and will always be remembered for his interception at the end of a playoff win at Cleveland on Jan. 4, 1981.12h agoMore Stories
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Israel developing AI 'super-brain' to run automated attacks in battlefield
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Israel developing AI superbrain run automated attacks battlefield HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SHOPPING YAHOO PLUS MORE... Download Yahoo News app Yahoo News query Sign Mail Sign view mail News News COVID19 COVID19 US US Politics Politics World World Health Health Science Science Podcasts Podcasts Originals Originals The 360The 360 SkullduggerySkullduggery ConspiracylandConspiracyland Us Us Videos Videos MoreMore Close contentThe TelegraphIsrael developing AI superbrain run automated attacks battlefieldRead articleJames RothwellApril 25, 2021, 1:23 PM4 min readA mock demonstration tool shows tank sensors radars itIsrael developing AI superbrain uses array highpowered sensors help tanks robots patrol battlefields enemy targets, looks new age warfare.The artificial intelligence, dubbed Athena Greek goddess war, early stage development Israel Aerospace Industries IAI deployed decade.The Daily Telegraph given exclusive access Athena programme, including mock demonstration brain tanks combat scenario.In scenario, Israeli Carmel tanks fitted smartphonesized AI, collected data infrared radar sensors, others, tag enemy fighters hidden underground buildings battlefield. In instant, data beamed commanding officer turned battle menu best methods attacking targets.The Athena plugged tanks control manoeuvre systems, allow attack targets automatically, commanding officer makes final decision proceed.The Telegraph understands IAI, Israels stateowned defence firm, looking fitting Athena robotic vehicles automatically patrol border fences search intruders.Another image mockup shows armoured vehicles patrollingThe country hopes AI defence systems armies efficient, machines analyse battlefield generate tactical battle plan faster human mind. Senior officers Israel Defence Forces IDF, exploring AI warfare, said aspects technology ready realworld use early year.We far basic level getting automatic awareness picture [of battlefield], said Colonel Eli Birenbaum, head IDFs military architecture department. If ask [when happen], end 2021, I think 90 cent accuracy answer positive.Story continuesCol Birenbaum said key challenges future persuading soldiers trust machine, drawing comparisons safety concerns selfdriving cars.The Athena device number AI weapons development world, projects generally shrouded secrecy. They include drones missile targeting devices, experts point decades, armies weapons automatically attack people, landmine.A image indicates AI fit tankThere bit arms race underway US China, Russians lot experiments bit behind, explained Dr Jack Watling, expert land warfare Rusi defence thinktank London.It realistic, available, necessarily deployable. And partly militaries necessarily sure ramifications it, added.Israel Western ally exploring AI warfare. In United States, military cadets programming tanks algorithms pop balloons representing enemy soldiers.Meanwhile, November, head British armed forces speculated robot soldiers quarter military 2030s. General Sir Nick Carter comment interview UK defence funding, said setting particular target robot quota.It claimed Israel deployed AIpowered machine gun late year assassinate Irans nuclear scientists. However, responded claims attack typically declines comment overseas military action. The scientist, Mohsen Fakhrizadeh, said head Irans nuclear programme, reportedly killed satellitecontrolled machine gun, artificial intelligence target him.Over weekend, tensions rose Israel Palestinian territories 30 rockets fired Gaza strip Israeli territory Islamist militant groups.The rockets cause deaths injuries, damage property. The rocket barrage appeared retaliation clashes Palestinians extremist Jewish group east Jerusalem Friday, left people injured. Recommended StoriesEngadgetReport: Russia likely kept access US networks SolarWinds hackRussian intelligence likely access US networks SolarWinds hack despite attempts close vulnerabilities, according sources.16h agoUSA TODAY OpinionWhy Chinese leader Xi Jinping afraid Hong Kong Jimmy Lai?A truly international city center finance crush rule law, hold political prisoners.2d agoThe TelegraphBiggest deployment UK naval firepower Falklands war set sail monthBritains biggest deployment UK naval aerial military firepower Falklands war set sail month 28week voyage closely watched China. This move, includes operational deployment aircraft carrier HMS Queen Elizabeth, Britain use power bring nations forces US Netherlands. The 3 billion warship, RAF F35B stealth fighter jets board, depart Asia accompanied Royal Navy ships, submarine, 14 naval helicopters company Royal Marines. The Carrier Strike Group CSG, carry visits India, Japan, South Korea Singapore, include US destroyer USS The Sullivans Dutch frigate HNLMS Evertsen. It comes Iceland 10th nation join Joint Expeditionary Force JEF, defence group northern European countries intent maintaining security region. A squadron 10 US Marine Corps F35B Lightning II jets embarked carrier Ministry Defence MoD describing largest concentration maritime air power leave UK generation. Defence Secretary Ben Wallace, reveal details deployment Parliament, said: When Carrier Strike Group sets sail month, flying flag Global Britain projecting influence, signalling power, engaging friends reaffirming commitment addressing security challenges today tomorrow. The entire nation proud dedicated men women months demonstrate world UK stepping sailing forth play active role shaping international 21st century. During 28week deployment, ships Carrier Strike Group expected visit 40 countries undertake 70 engagements, including sailing alongside French carrier Charles De Gaulle Mediterranean. The work expected watched closely China, US allies. The deployment organised UKs tilt IndoPacific region bid bolster deep defence partnerships exercise mark 50th anniversary Five Power Defence Arrangements Malaysia, Singapore, Australia New Zealand. Accompanying HMS Queen Elizabeth surface fleet Type 45 destroyers HMS Defender HMS Diamond, Type 23 antisubmarine frigates HMS Kent HMS Richmond, Royal Fleet Auxiliarys RFA Fort Victoria RFA Tidespring. The Royal Navy Astuteclass submarine deployed, armed Tomahawk cruise missiles. As stealth fighters, Wildcat maritime attack helicopters, seven Merlin Mk2 antisubmarine helicopters Merlin Mk4 commando helicopters embarked greatest quantity helicopters assigned single UK Task Group decade. Prior leaving UK, CSG major exercise, Strike Warrior, coast Scotland departing Mediterranean.16h agoAssociated PressAnalyst: Rocket engine test likely caused blast IsraelA mysterious blast heard central Israel appears come rocket engine test conducted secretive military base associated countrys missile program, according analyst satellite images. Video incident Sdot Micha Air Base circulated online week.1d agoAxiosIt reminds Soviet trials: Russian court suspends activities Navalny groupA Russian court Monday approved request prosecutors suspend activities regional headquarters Alexei Navalnys political organization, pending ruling label networks extremist.Why matters: Its latest sweeping attempt Russian state crack influence imprisoned opposition leader, recently ended threeweek hunger strike warnings doctors die days.Get market news worthy time Axios Markets. free.The big picture: Navalnys imprisonment charges violating parole, came spent months Germany recovering attempted poisoning Russias security services, galvanized mass protests international condemnation.Between lines: Amnesty International said extremist designation Navalnys political anticorruption groups represent blows rights freedom expression association Russias postSoviet history.It networks par Islamic State, alQaeda Taliban eyes Russian authorities, according Washington Post.Members arrested, donate group spread videos expose corruption Russian politicians gained millions views online accused supporting terrorism.What watch: Court proceedings begin Monday, evidence case kept hidden contains state secrets, prosecutors claim.What theyre saying: It reminds Soviet trials declared spy foreign agent secret closed trial, AntiCorruption Foundation director Ivan Zhdanov, fled Russia earlier year, told Post. Putin trying Russia Soviet past.Like article? Get Axios subscribe Axios Markets free.59m agoReutersBreaking barrier, women U.S. Marines surviving crucibleThe U.S. Marine recruits, women men, patrolled mock village suddenly struck simulated machine gun explosions. It crucible, 54hour test strength spirit recruits pass U.S. Marines. Now, time, women Marine Corps Recruit Depot San Diego gone crucible earned Eagle, Globe Anchor emblems Camp Pendleton, sprawling, hilly Marine base 40 miles 65 north San Diego.2h agoThe WeekHarris immigration policy: Have migrants hope help way stay home countriesVice President Kamala Harris Sunday addressed shes approaching immigration policy, area President Biden charged overseeing. Immigration major issue early Biden administration, thanks large influx migrants Central America U.S.Mexico border, far polls suggest Americans arent thrilled Biden handled situation. But Harris attempted provide clarity White Houses efforts interview CNNs Dana Bash aired latest edition State Union. Harris explained perspective people way United States theyre fleeing certain dangers theyre unable satisfy basic necessities life, providing family food shelter, home countries. Most people dont want leave home, said. Therefore, primary focus people sense hope stay help way. Harris noted recently convened key leaders Biden administration draw multifaceted plan includes Commerce Department overseeing trade mission Northern Triangle, Department Agriculture increasing resources aid farmers region, USAID boosting disaster response efforts wake devastating hurricanes. This kind work happen, Harris said, adding preparing travel Central America meet government leaders near future, sounds details proposed trip works. Vice President Kamala Harris addressing root causes migration: We people sense hope stay help way. CNNSOTU pic.pb2PPMxQLt State Union April 25, 2021 More stories theweek.com5 brutally funny cartoons COVID antivaxxersJoy Behar says misgendered Caitlyn Jenner The View didnt sleepIndia sets 5th straight COVID19 infection record, U.S. countries pledge help19h agoCBS News VideosWoman faced felony charge returning VHS tape 20 years agoA Oklahoma resident wanted felony charge failed return VHS movie rental decades ago. Caron McBride, lives Texas, charged felony embezzlement, prosecutors dismissed charges.12h agoReutersThey cut VPN: Shanghai Oscars party Nomadland director hits snagSHANGHAI Reuters A livestream Academy Awards Shanghai hosted alumni Oscarwinner Chloe Zhaos alma mater ran Chinas Great Firewall, organiser saying access virtual private network VPN service blocked nearly hours. Beijingborn Zhao, critical 2013 comment China resurfaced nomination, sparking backlash country, named best director Nomadland Monday, making Asian woman win category awards 93year history. About 30 people gathered small bar The Bund, historic district central Shanghai, early 8 a.m. local time 0000 GMT support Zhao watch awards live YouTube.9h agoThe TelegraphConflict China Taiwan discounted, Australian defence minister saysAustralias defence minister said Sunday conflict China Taiwan discounted Beijing goal taking control island clear. Peter Duttons comments follow recent warnings US admirals annexing Taiwan Beijings no. 1 priority launch military attack Taiwan years. Chinas foreign ministry said US hyping threat justify increase American military expenditure interference regional affairs. Mr Dutton said television interview Sunday people needed realistic Australia work allies region try peace. Asked Australian Broadcasting Corp ABC prospects conflict Taiwan growing, replied: I dont think discounted.1d agoReutersModerna vaccine reviewed WHO emergency listing April 30 WHO spokesmanGENEVA Reuters Modernas COVID19 vaccine reviewed April 30 technical experts possible WHO emergencyuse listing, World Health Organization spokesman told Reuters. We discussing Moderna COVID19 vaccine Friday..., WHO spokesman Christian Lindmeier said reply query. A decision U.S. drugmakers vaccine, evaluated abridged procedure basis prior review European Medicines Agency, expected days that, Lindmeier said.3h agoMens HealthDoctors Explain What Happens You Accidentally Mix COVID VaccinesHeres best stick brand.21h agoReutersTurkey says respond time outrageous U.S. genocide statementISTANBUL Reuters U.S. President Joe Bidens declaration massacres Armenians Ottoman Empire constituted genocide simply outrageous Turkey respond coming months, Turkeys presidential spokesman said Sunday. Biden broke Saturday decades carefully calibrated White House comments 1915 killings, delighting Armenia diaspora straining ties Washington Ankara, members NATO military alliance. There reaction different forms kinds degrees coming days months, Ibrahim Kalin, President Tayyip Erdogans spokesman adviser, told Reuters interview.20h agoNational ReviewMcCarthy Says Biden Pulled Bait Switch Moderate SocialistHouse Minority Leader Kevin McCarthy R., Calif. said Sunday President Biden pulled bait switch 100 days presidency, promised act moderate instead governing like socialist. If I look 100 days, bait switch, McCarthy said appearance Fox News Sunday. McCarthy called Bidens failure uphold commitment working party lines. The Republican leader said met spoken president Biden took office. I met president time, conversation, McCarthy said. When host Chris Wallace asked Bidens campaign promise work alongside GOP infrastructure COVID19 relief legislation, McCarthy argued bills ultimately vehicles Democratic spending. Less 6 percent infrastructure package goes infrastructure, McCarthy said. He added believe Bidens sweeping 2 trillion infrastructure plan popular Americans realize includes. Moderate Democrat Joe Manchin, crucial vote evenly divided Senate, week suggested Congress focus conventional infrastructure break Bidens massive plan, includes provisions lawmakers argued qualify infrastructure, expanding resources home care elderly child care facilities. What think greatest need now, bipartisan way, conventional infrastructure water, sewer, roads, bridges, Internet things know need repaired, fixed, Manchin said. Asked supports noninfrastructure provisions, Manchin said believes measures needed hearings professionals brought discuss them.19h agoReutersSunken missing Indonesian submarine broken piecesDENPASAR Reuters A missing Indonesian submarine found, broken parts, Bali Sea, army navy officials said Sunday, president sent condolences relatives 53 crew. Based evidence, stated KRI Nanggala sunk crew died, military chief Marshal Hadi Tjahjanto told reporters. Navy chief staff Yudo Margono said crew blame accident submarine experience blackout, blaming forces nature.1d agoAssociated Press6 killed, 10 hurt fiery van crash Georgia interstatePolice said people died scene 10 taken hospitals metro Atlanta area, Atlanta JournalConstitution reported. Passersby stopped pull people burning vehicle Saturday evening I85 near I985 split, Gwinnett County police Sgt. Michele Pihera said news release. The area 35 miles 56 kilometers northeast downtown Atlanta.1d agoPoliticoWe Got Afghanistan Wrong, Theres Still Time Learn SomethingIf U.S. wants prevent Taliban takeover September, time fast admission military misread past 20 years.1d agoNational ReviewDrug Cartels Arent Just Border ProblemAs watch dangerous disaster unfold southern border, know this: Those cartels operating border conducting horrific business far there, hometowns America. Just weeks ago, 180 miles border, quiet San Antonio suburban town Boerne, Texas, vehicle carrying people stuffed trunk stopped traffic violation. All occupants told exact story common reality carteldriven smuggling trafficking. They stated stranded road hitchhiking. The driver girlfriend kind pick up. In reality, driver ordered pick up. The driver smuggling illegal immigrants Mexico Honduras crossing Del Rio sector territory Cartel del Noreste, faction Los Zetas. Among passengers young teenage boy paid 4,000 transported California pick grapes 13 hour. However, cartel different plans. The boy learned actually headed stash house Houston pay held balance paid, sold trafficking. More recently, female cartel victim process trafficked encountered law enforcement Kendall County, Texas, contains Boerne. She knew going work pay debt cartel smuggled her, know work be. Had picked law enforcement, imagine horror experienced hands monsters. Kendall County, Texas, experienced cases cartel smuggling recent months. Another case April involved 17yearold trafficking young females teenage boy. Seventeenyearolds recruited treated minors federal law making prosecutions harder cartels. The Cartel del Noreste charges roughly 12,000 transport Mexico Central America entry United States TexasMexico border. If individual coming Middle East Asia, times amount. In March, Kendall County law enforcement stopped vehicle passengers fled, leading pursuit. Occupants partially paid cartels way San Antonio, family pay remaining balance totaling 11,000. The volume cartels trafficking operations scare American. In Kendall County, example, cartel teams run shifts varying times avoid detection transporting individuals day. There likely dozens, more, carloads moving daily. Sources inside DHS indicated 26,000 illegal aliens got away crossing border month Del Rio sector alone. These violent criminal organizations notorious committing brutal killings, threatening Mexican police politicians gain maintain power profits. This clear Mexican state Tamaulipas, effectively run cartel influence cooperate American immigration enforcement result. Now, unprecedented surge people entering illegally TexasMexico border, direct result administrations reckless policies, enabling spread cartel practices America. And law enforcement stop it. If situation involving cartel intercepted local law enforcement reaches ICE DHS, local law enforcement simply told information possible let go. If DHS opt case, defines case smuggling, authorities longer allowed detain material witnesses confession involved excruciatingly challenging witnesses victims hands cartels. As current prosecutor, tell gets harder day prosecute cases, justice victims cartels, hold criminals accountable. The massive flow illegal migrants weakens inability border patrol secure border. And interior enforcement overrun, cartels proving control crisis. They profiting handsomely result. Now moving operations interior communities, cartels profiting 1014 million day trafficking human beings narcotics neighborhoods. This longer border problem; problem country. There dangerous people horrible things human beings profit away border closer closer live. Cartel smugglers increasingly armed increasingly emboldened expand operations U.S. soil. The children, women, young men prey human beings, treated political pawns president allies Congress, empowerment criminals endanger lives Americans immigrants alike. Chaos isnt compassion. It time chaos end. Nicole Bishop criminal district attorney Kendall County, Texas. Chip Roy represents 21st district Texas U.S. House Representatives.1h agoLions WireFrank Ragnow recognized young players NFLFrank Ragnow sitting borderline elite status NFL, Bleacher Report recognizes status better young players2d agoAssociated PressFormer Raiders defensive Mike Davis dies age 65Mike Davis, Raiders defensive memorable interceptions team history, died. The Raiders announced Davis death Sunday. The Colorado star secondround pick Raiders 1977 remembered interception end playoff win Cleveland Jan. 4, 1981.12h agoMore Stories TRENDINGThe New York TimesHalf Year After Trumps Defeat, Arizona Republicans Are Recounting VoteThe New York Times9 min readAssociated PressAirline bans Alaska state senator violating mask rulesAssociated Press2 min readAxiosMinnesota AG tells 60 Minutes: We didnt evidence George Floyds killing hate crimeAxios2 min readThe New York TimesMichigans COVID Wards Are Filling Up With Younger PatientsThe New York Times11 min readMiami HeraldLarge fight breaks Miami International Airport. 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https://news.yahoo.com/marketmind-market-chatgpt-whats-powell-055457647.html
| 2023-02-07T00:00:00 |
en
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Marketmind- Market to ChatGPT: what's Powell gotta say?
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Marketmind- Market to ChatGPT: what's Powell gotta say? HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Download the Yahoo News app Yahoo News Yahoo News Search query Sign in Mail Sign in to view your mail News US Politics World COVID-19 Climate Change Health Science Originals The 360 Skullduggery Podcast Conspiracyland Contact Us …
Close this contentReutersMarketmind- Market to ChatGPT: what's Powell gotta say?Read full article1 / 2Marketmind- Market to ChatGPT: what's Powell gotta say?Illustration shows ChatGPT logo and rising stock graphFebruary 7, 2023, 12:54 AM·2 min readA look at the day ahead in European and global markets from Ankur BanerjeeInvestors are just about coming to terms with the eye-popping payrolls number from Friday, but with Fed Chair Jerome Powell due to speak later in the day, the market will ponder which Powell will turn up (the hawk or the dove). Perhaps ChatGPT has the answer.Google owner Alphabet unveiled a rival to super popular ChatGPT, saying it will launch a chatbot service named 'Bard'. And so the battle for generative AI, technology that can create prose or other content on command and free up white-collar workers' time, heats up, with Microsoft planning its own AI reveal for Tuesday.The meteoric rise of ChatGPT, a chatbot from Microsoft-backed OpenAI, has also helped attract retail investors in other smaller firms as artificial intelligence becomes the latest buzzword on Wall Street. (More than 20 years after AI the movie was released)The main event in Asia was Australia's central bank raising its cash rate by 25 basis points to a decade-high of 3.35% and reiterating that further increases would be needed to fight inflation. The Aussie dollar spiked higher, while short term bonds tumbled.Asian shares held their ground while the rally in the U.S. dollar took a breather on Tuesday.Meanwhile, a deadly earthquake killed more than 3,700 people across a swathe of Turkey and northwest Syria, sending Turkey's lira to a record low.Before Powell takes centre stage and hogs the limelight, Bank of England's Huw Pill is also due to speak and his comments on monetary policy will likely move markets.Key developments that could influence markets on Tuesday:Economic events: U.K. Halifax house prices for January, Swiss unemployment dataSpeakers: Bank of England's Huw Pill, ECB's Peter Kazimir and Klaas Knot and Fed Chair PowellEarnings: BNP Paribas SA Q4 results(Reporting by Ankur Banerjee; Editing by Jacqueline Wong)
Recommended StoriesReutersAMC to price movie tickets based on seatingAMC's new program, called "Sightline at AMC", will begin from Friday and will provide moviegoers with multiple seating options to meet their viewing preferences. Value seats are available for free only to members of AMC Stubs, the chain's rewards club. Shares of AMC, which operates over 900 theaters globally, fell nearly 76% last year.7h agoYahoo FinanceStock market is basically going nowhere for the rest of the year: Goldman SachsGoldman brings a voice of reason to the 2023 rally.19h agoTheStreet.comEV Startup Canoo Makes a Big AnnouncementCanoo , a young electric vehicle manufacturer, just made a big announcement to help pursue its efforts to supply delivery vehicles to WalMart and others. The company, which began testing vehicles late last year with WalMart, raised additional capital on Monday by selling new shares to institutional investors. The new shares were sold to investors at a discount in a direct offering and will net Canoo $52.5 million.8h agoTheStreet.comFord Gets Rid of RivianThe year 2022 was a nightmare for the shareholders of the upstart electric-vehicle maker Rivian. Rivian went public in November 2021, and the stock then rose as high as $180, which was clearly gold for early shareholders like e-commerce giant Amazon and automaker Ford. This cocktail has complicated Rivian's effort to mass-produce its vehicles.13h agoTipRanksBarclays Says Buy These 2 High-Yield Dividend Stocks — Including One With 9.5% YieldStocks have started 2023 with a 7% gain on the S&P 500, and 13.5% gain on the NASDAQ. It’s a solid performance to start the year, but will it last? According to Emmanuel Cau, the head of European equity strategy at Barclays, we might not be fully out of the woods yet. "Despite a still sticky labor market, softening US data (ISM down further below 50, weaker housing data) seem to matter for central banks' reaction function, which now appears more balanced between fighting inflation and preserving5h agoTipRanksDown More Than 50%: These 2 ‘Strong Buy’ Stocks Still Look Cheap Despite This Year’s RallyIt might be obvious to point out that an important part of the investing game is to find the stocks that are undervalued — that is, the companies with sound fundamentals that the market is presently not fully appreciating. Luckily for investors, after 2022’s widespread carnage, there are still plenty of names out there still at relatively depressed levels. In fact, even after the strong rallies seen in the year’s opening stretch, such was 2022’s merciless bear, there are scores of stocks out the1d agoTheStreet.comTwo Wall Street Powerhouses Hit by the Fall of Billionaire Adani's EmpireIndian billionaire Gautam Adani saw his net worth melt by tens of billions of dollars in a matter of days. Last September, Adani became by far the richest man in Asia and the second richest man in the world behind Elon Musk with a fortune estimated at $150 billion. This fortune is currently valued at $59 billion as of Feb. 4, according to Bloomberg Billionaires Index. It has melted a total of $91 billion in six months.2d agoTipRanks2 High-Risk, High-Reward Stock Bets Cathie Wood Is Taking Into 2023The tech-heavy Nasdaq represents a collection of more risky stocks than the other major indexes and that is reflected by a poorer performance in bear markets and a better display during bull runs. But the risks associated with the Nasdaq are mere child play compared to edgier funds such as Cathie Wood’s Ark Innovation ETF. Now that really hit the skids during last year’s bear, but the fund is also up 37% year-to-date, putting the Nasdaq's 15% gain in the shade. In fact, throwing more shade the N16h agoInsider Monkey10 Monthly Dividend Stocks with Over 5% YieldIn this article, we discuss 10 monthly dividend stocks with over 5% yield. If you want to see more stocks in this selection, check out 5 Monthly Dividend Stocks with Over 5% Yield. During a difficult time for the capital markets in 2022, dividend-paying stocks proved to be a strong investment, outperforming both non-dividend stocks […]19h agoBloombergA Clear Target Emerges in Tech Layoffs: Middle Managers(Bloomberg) -- As Meta Platforms Inc., Alphabet Inc. and other Silicon Valley behemoths look to lighten payrolls after years of feverish hiring, a clear target has emerged: the middle manager. Most Read from BloombergQuake Toll Hits 4,000 in Turkey, Syria as Overseas Aid FlowsTurkey’s South Hit by a Second High-Magnitude EarthquakeDell to Cut About 6,650 Jobs, Battered by Plunging PC SalesUS Moves to Recover Chinese Balloon While Weighing RetaliationChina Moves From Contrite to Confrontational O9h agoMotley Fool3 Cathie Wood Stocks Wall Street Thinks Can Soar 60% to 129%Cathie Wood is roaring back. Her flagship ARK Innovation ETF (NYSEMKT: ARKK) plunged 67% last year. But so far in 2023, the exchange-traded fund is up nearly 40%. This impressive performance could be just the warm-up.19h agoMotley FoolWhy QuantumScape Rocketed 50.1% in JanuaryA product-oriented press release at the end of December, falling inflation, and meme-stock traders all propelled QuantumScape higher last month.15h agoTheStreet.comBuying Nvidia Stock on the Dips: Here's the Level to WatchNvidia stock has been trading incredibly well on the long side. Here's where to buy the dip next.12h agoZacksNew Strong Buy Stocks for February 6thNTDOY, WNC, SNEX, HSY and PAC have been added to the Zacks Rank #1 (Strong Buy) List on February 6, 2022.17h agoMotley FoolWant $2,000 in Annual Passive Income? Buy $93 of This Stock Per Week for 5 YearsInnovative Industrial Properties (NYSE: IIPR) is a smart passive income stock thanks to its ever-growing empire of marijuana cultivation real estate. In fact, with a relatively small weekly commitment, you could build up a pretty decent haul of dividends annually, and it wouldn't even take you that long to do so in the grand scheme of things. Before we go over the details of how to do that, let's start by taking a minute to appreciate why this real estate investment trust (REIT) is such a passive income machine in the first place.19h agoMotley FoolMy Top 3 Dividend Stocks to Buy NowThe three stocks below have become part of the elite group of Dividend Kings. You can take comfort in that remarkable history, which indicates dividends have remained a priority for management in all kinds of economic environments. Colgate-Palmolive (NYSE: CL) sells basic items like toothpaste, toothbrushes, soap, and deodorant.2d agoTheStreet.comIndian Billionaires Defend Country After Adani Empire DebacleAdani Group is the center of allegations of fraud and stock-price manipulation launched by the short-seller Hindenburg Research.15h agoInsider Monkey12 Safe Stocks to Buy For Long-TermIn this article, we take a look at 12 safe stocks to buy for the long-term according to hedge funds. You can skip our detailed analysis of safe stocks and go directly to read 5 Safe Stocks to Buy According to Hedge Funds. Even if there are many indications that the macro environment will remain […]2d agoFortuneBinance suspends bank transfers of U.S. dollarsThe world’s biggest crypto exchange says only 0.01% of customers will be affected.12h agoMotley Fool2 Colossal Warren Buffett Stocks to Buy in 2023 and Hold ForeverOne of these players offers major growth prospects; the other has delivered decades of passive income growth.20h agoMore Stories
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POPULARFed Chair Powell speaks, stock rally, earnings: What to watch in markets this weekYahoo Finance VideoStock Market On The Defensive Ahead Of Powell Comments; C3.ai Up 150%Investor's Business DailyRupee flat before Fed Chair Powell's speech, could drop to 83/USDReutersMajor stock indices fall ahead of Fed Chair Powell's speechYahoo Finance VideoFrom the Fed to the State of the Union to Retail Earnings - A Busy Week AheadTheStreet.com
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Marketmind- Market to ChatGPT: what's Powell gotta say?
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Marketmind Market ChatGPT: whats Powell gotta say? HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Download Yahoo News app Yahoo News Yahoo News query Sign Mail Sign view mail News US Politics World COVID19 Climate Change Health Science Originals The 360 Skullduggery Podcast Conspiracyland Us Close contentReutersMarketmind Market ChatGPT: whats Powell gotta say?Read article1 2Marketmind Market ChatGPT: whats Powell gotta say?Illustration shows ChatGPT logo rising stock graphFebruary 7, 2023, 12:54 AM2 min readA look day ahead European global markets Ankur BanerjeeInvestors coming terms eyepopping payrolls number Friday, Fed Chair Jerome Powell speak later day, market ponder Powell turn hawk dove. Perhaps ChatGPT answer.Google owner Alphabet unveiled rival super popular ChatGPT, saying launch chatbot service named Bard. And battle generative AI, technology create prose content command free whitecollar workers time, heats up, Microsoft planning AI reveal Tuesday.The meteoric rise ChatGPT, chatbot Microsoftbacked OpenAI, helped attract retail investors smaller firms artificial intelligence latest buzzword Wall Street. More 20 years AI movie releasedThe main event Asia Australias central bank raising cash rate 25 basis points decadehigh 3.35 reiterating increases needed fight inflation. The Aussie dollar spiked higher, short term bonds tumbled.Asian shares held ground rally U.S. dollar took breather Tuesday.Meanwhile, deadly earthquake killed 3,700 people swathe Turkey northwest Syria, sending Turkeys lira record low.Before Powell takes centre stage hogs limelight, Bank Englands Huw Pill speak comments monetary policy likely markets.Key developments influence markets Tuesday:Economic events: U.K. Halifax house prices January, Swiss unemployment dataSpeakers: Bank Englands Huw Pill, ECBs Peter Kazimir Klaas Knot Fed Chair PowellEarnings: BNP Paribas SA Q4 resultsReporting Ankur Banerjee; Editing Jacqueline Wong Recommended StoriesReutersAMC price movie tickets based seatingAMCs new program, called Sightline AMC, begin Friday provide moviegoers multiple seating options meet viewing preferences. Value seats available free members AMC Stubs, chains rewards club. Shares AMC, operates 900 theaters globally, fell nearly 76 year.7h agoYahoo FinanceStock market basically going rest year: Goldman SachsGoldman brings voice reason 2023 rally.19h agoTheStreet.comEV Startup Canoo Makes Big AnnouncementCanoo , young electric vehicle manufacturer, big announcement help pursue efforts supply delivery vehicles WalMart others. The company, began testing vehicles late year WalMart, raised additional capital Monday selling new shares institutional investors. The new shares sold investors discount direct offering net Canoo 52.5 million.8h agoTheStreet.comFord Gets Rid RivianThe year 2022 nightmare shareholders upstart electricvehicle maker Rivian. Rivian went public November 2021, stock rose high 180, clearly gold early shareholders like ecommerce giant Amazon automaker Ford. This cocktail complicated Rivians effort massproduce vehicles.13h agoTipRanksBarclays Says Buy These 2 HighYield Dividend Stocks luding One With 9.5 YieldStocks started 2023 7 gain SP 500, 13.5 gain NASDAQ. Its solid performance start year, last? According Emmanuel Cau, head European equity strategy Barclays, fully woods yet. Despite sticky labor market, softening US data ISM 50, weaker housing data matter central banks reaction function, appears balanced fighting inflation preserving5h agoTipRanksDown More Than 50: These 2 Strong Buy Stocks Still Look Cheap Despite This Years RallyIt obvious point important investing game stocks undervalued is, companies sound fundamentals market presently fully appreciating. Luckily investors, 2022s widespread carnage, plenty names relatively depressed levels. In fact, strong rallies seen years opening stretch, 2022s merciless bear, scores stocks the1d agoTheStreet.comTwo Wall Street Powerhouses Hit Fall Billionaire Adanis EmpireIndian billionaire Gautam Adani saw net worth melt tens billions dollars matter days. Last September, Adani far richest man Asia second richest man world Elon Musk fortune estimated 150 billion. This fortune currently valued 59 billion Feb. 4, according Bloomberg Billionaires Index. It melted total 91 billion months.2d agoTipRanks2 HighRisk, HighReward Stock Bets Cathie Wood Is Taking Into 2023The techheavy Nasdaq represents collection risky stocks major indexes reflected poorer performance bear markets better display bull runs. But risks associated Nasdaq mere child play compared edgier funds Cathie Woods Ark Innovation ETF. Now hit skids years bear, fund 37 yeartodate, putting Nasdaqs 15 gain shade. In fact, throwing shade N16h agoInsider Monkey10 Monthly Dividend Stocks Over 5 YieldIn article, discuss 10 monthly dividend stocks 5 yield. If want stocks selection, check 5 Monthly Dividend Stocks Over 5 Yield. During difficult time capital markets 2022, dividendpaying stocks proved strong investment, outperforming nondividend stocks []19h agoBloombergA Clear Target Emerges Tech Layoffs: Middle ManagersBloomberg As Meta Platforms ., Alphabet . Silicon Valley behemoths look lighten payrolls years feverish hiring, clear target emerged: middle manager. Most Read BloombergQuake Toll Hits 4,000 Turkey, Syria Overseas Aid FlowsTurkeys South Hit Second HighMagnitude EarthquakeDell Cut About 6,650 Jobs, Battered Plunging PC SalesUS Moves Recover Chinese Balloon While Weighing RetaliationChina Moves From Contrite Confrontational O9h agoMotley Fool3 Cathie Wood Stocks Wall Street Thinks Can Soar 60 129Cathie Wood roaring back. Her flagship ARK Innovation ETF NYSEMKT: ARKK plunged 67 year. But far 2023, exchangetraded fund nearly 40. This impressive performance warmup.19h agoMotley FoolWhy QuantumScape Rocketed 50.1 JanuaryA productoriented press release end December, falling inflation, memestock traders propelled QuantumScape higher month.15h agoTheStreet.comBuying Nvidia Stock Dips: Heres Level WatchNvidia stock trading incredibly long side. Heres buy dip next.12h agoZacksNew Strong Buy Stocks February 6thNTDOY, WNC, SNEX, HSY PAC added Zacks Rank 1 Strong Buy List February 6, 2022.17h agoMotley FoolWant 2,000 Annual Passive ome? Buy 93 This Stock Per Week 5 YearsInnovative Industrial Properties NYSE: IIPR smart passive income stock thanks evergrowing empire marijuana cultivation real estate. In fact, relatively small weekly commitment, build pretty decent haul dividends annually, wouldnt long grand scheme things. Before details that, lets start taking minute appreciate real estate investment trust REIT passive income machine place.19h agoMotley FoolMy Top 3 Dividend Stocks Buy NowThe stocks elite group Dividend Kings. You comfort remarkable history, indicates dividends remained priority management kinds economic environments. ColgatePalmolive NYSE: CL sells basic items like toothpaste, toothbrushes, soap, deodorant.2d agoTheStreet.comIndian Billionaires Defend Country After Adani Empire DebacleAdani Group center allegations fraud stockprice manipulation launched shortseller Hindenburg Research.15h agoInsider Monkey12 Safe Stocks Buy For LongTermIn article, look 12 safe stocks buy longterm according hedge funds. You skip detailed analysis safe stocks directly read 5 Safe Stocks Buy According Hedge Funds. Even indications macro environment remain []2d agoFortuneBinance suspends bank transfers U.S. dollarsThe worlds biggest crypto exchange says 0.01 customers affected.12h agoMotley Fool2 Colossal Warren Buffett Stocks Buy 2023 Hold ForeverOne players offers major growth prospects; delivered decades passive income growth.20h agoMore Stories TRENDINGThe New York TimesBalloon ident Reveals More Than Spying Competition With China IntensifiesThe New York Times7 min readThe New York TimesKamala Harris Is Trying Define Her Vice Presidency. Even Her Allies Are Tired Waiting.The New York Times11 min readWashington PostBuy Nothing everythingWashington Post9 min readNBC NewsBuffalo, New York, area hit strongest earthquake 40 yearsNBC News2 min readAssociated PressFACT FOCUS: Egg shortage breeds chickenfeed conspiraciesAssociated Press5 min read POPULARFed Chair Powell speaks, stock rally, earnings: What watch markets weekYahoo Finance VideoStock Market On The Defensive Ahead Of Powell Comments; C3.ai Up 150Investors Business DailyRupee flat Fed Chair Powells speech, drop 83USDReutersMajor stock indices fall ahead Fed Chair Powells speechYahoo Finance VideoFrom Fed State Union Retail Earnings A Busy Week
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] | 1 | 5,056 |
https://news.yahoo.com/microsoft-expand-chatgpt-access-openai-010141908.html
| 2023-01-17T00:00:00 |
en
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Microsoft to expand ChatGPT access as OpenAI investment rumors swirl
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Microsoft to expand ChatGPT access as OpenAI investment rumors swirl HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Download the Yahoo News app Yahoo News Yahoo News Search query Sign in Mail Sign in to view your mail News US Politics World COVID-19 Climate Change Health Science Originals The 360 Skullduggery Podcast Conspiracyland Contact Us …
Close this contentReutersMicrosoft to expand ChatGPT access as OpenAI investment rumors swirlRead full articleFILE PHOTO: Microsoft logo on an office building in New York, U.S.Jeffrey DastinJanuary 16, 2023, 8:01 PM·2 min readBy Jeffrey Dastin(Reuters) - Microsoft Corp on Monday said it is widening access to hugely popular software from OpenAI, a startup it is backing whose futuristic ChatGPT chatbot has captivated Silicon Valley.Microsoft said the startup's tech, which it so far has previewed to its cloud-computing customers in a program it called the Azure OpenAI Service, was now generally available, a distinction that's expected to bring a flood of new usage.The news comes as Microsoft has looked at adding to the $1 billion stake in OpenAI it announced in 2019, two people familiar with the matter previously told Reuters. The news site Semafor reported earlier this month that Microsoft might invest $10 billion; Microsoft declined to comment on any potential deal.Public interest in OpenAI surged following its November release of ChatGPT, a text-based chatbot that can draft prose, poetry or even computer code on command. ChatGPT is powered by generative artificial intelligence, which conjures new content after training on vast amounts of data -- tech that Microsoft is letting more customers apply to use.ChatGPT itself, not just its underlying tech, will soon be available via Microsoft's cloud, it said in a blog post.Microsoft said it is vetting customers' applications to mitigate potential abuse of the software, and its filters can screen for harmful content users might input or the tech might produce.The business potential of such software has garnered massive venture-capital investment in startups producing it, at a time funding has otherwise dried up. Already, some companies have used the tech to create marketing content or demonstrate how it could negotiate a cable bill.Microsoft said CarMax, KPMG and others were using its Azure OpenAI service. Its press release quoted an Al Jazeera vice president as saying the service could help the news organization summarize and translate content.(Reporting By Jeffrey Dastin; Editing by Leslie Adler)
Recommended StoriesMotley Fool2 Growth Stocks Down More Than 30% to Buy Right NowThe Nasdaq Composite index's level has fallen 28% over the last year and trades down 32% from its high. For those willing it weather challenges in the near term, today's tough market conditions have actually made it possible to build positions in incredibly strong businesses at prices that leave room for impressive returns. With that in mind, read on to see why two Motley Fool contributors identified these two industry-leading businesses as great investment candidates that can be purchased at attractive prices.1d agoAssociated PressBelarus opens trial of journalist for prominent Polish paperBelarus on Monday opened the trial of a journalist and prominent member of the country's sizable Polish minority, the latest in a series of court cases against critics of the authoritarian regime of President Alexander Lukashenko. Poczobut, a journalist for the influential Polish newspaper Gazeta Wyborcza and a top figure in the Union of Poles in Belarus, has been behind bars since his detention in March 2021. In Poland a spokesman for the government, Piotr Mueller, said that despite “numerous diplomatic efforts, unfortunately, we have no additional tools that could help in this area” of political freedom in Belarus.11h agoMotley Fool6 Stocks With Lots of CashCash can be a cushion to fall back on for investors and can give management flexibility to acquire competitors, return money to shareholders, or invest in the business. And these companies have lots of cash.1d agoMotley FoolThe S&P 500 Just Had One of Its Worst Years in History. Here's What Usually Happens NextThe S&P 500 declined sharply last year, but historical data says the stock market could rebound in 2023.2d agoBusiness InsiderThe pandemic may have ended the auto industry's age-old battle for market shareSo long as Ford and GM stay focused on money-making vehicles, lower market share won't necessarily be bad for them — but car-buyers should look out.13h agoCoinDeskShiba Inu Developers Reveal First Look of Layer 2 Blockchain ShibariumEcosystem tokens shiba inu, leash and bone will serve as the for the upcoming Ethereum-based blockchain.15h agoBusiness InsiderSex, art theft, and privacy: Lensa exploded overnight — and now the avatar app is dealing with public backlash. Here's what you should know.In the weeks since Lensa AI began taking the internet by storm, the app has generated nearly as many controversies as it has digital avatars.14h agoEngadgetApple may unveil new 14- and 16-inch MacBook Pros tomorrowApple is said to be announcing 14- and 16-inch MacBook Pro models with M2 chips as soon as tomorrow.4h agoEngadgetSamsung SSDs and memory cards are over 60 percent off at AmazonSamsung SSDs and memory cards are steeply discounted as part of an Amazon sale.10h agoMotley FoolWhy Meme Coins Dogecoin and Shiba Inu Were Surging on SaturdayThe two highest-capitalized meme cryptos, Dogecoin (CRYPTO: DOGE) and Shiba Inu (CRYPTO: SHIB), are both coming along for the ride. As of Saturday night, Dogecoin had risen by nearly 9% over the preceding 24 hours, while Shiba Inu was advancing by 7%. Recent indications that inflation continues to fall have led to speculation that the Federal Reserve will slow or halt its interest rate increases.2d agoFox NewsSimple iPhone hack makes reading every app easierKurt "CyberGuy" Knutsson shows how to enlarge text, change button shapes and make other customizations on your iPhone apps with a simple hack, making reading easier.10h agoUSA TODAYUpdated daily: Here are the 10 best Amazon deals you can get on DeWalt, TurboTax and WinixScore amazing savings with the best Amazon deals on tools, tax software, video games and home essentials. Shop DeWalt, Winix, TurboTax and more.1d agoBusiness InsiderGoogle's massive New Year billboard ad told Apple to fix 'pixelated' photos and videos in texts between iPhones and AndroidsGoogle has urged Apple to adopt the RCS messaging standard with its "Get the Message" campaign since August, and has made other ads calling Apple out.7h agoDecrypt MediaRising Solana Tide Surges 58% In Second Strong WeekThe once-heralded "solana killer" has bounced back, briefly bumping Polygon out of the top ten.1d agoUSA TODAYWhat to know about Apple AirPods: how to connect, new AirPods Pro (2nd Generation), moreHere's everything you need to know about Apple AirPods, including how to connect them to various devices and how to reset them if needed.12h agoForkast NewsBitcoin miners return from winter storms, difficulty at an all-time highThe Bitcoin mining difficulty level jumped 10.26% on Monday morning in Hong Kong, hitting an all-time high reading of 37.59 trillion, as several U.S-based miners came back online from recent winter storms that forced them to unplug, according to data from BTC.com. See related article: Bitcoin hashrate drops nearly 40% as deadly U.S. storm unplugs […]20h agoThe New York TimesAuburn Banned TikTok, and Students Can't Stop Talking About ItDestini Ambus, a senior at Auburn University in Alabama, was so surprised last month about a new ban of TikTok on state-owned devices and internet networks that she read the news alert about it aloud to her friends. “We were like, ‘Oh, that’s weird, why would she do that,’ and laughed it off and moved on,” Ambus, 21, the editor-in-chief of the campus newspaper, said of the ban, which was ordered by the state’s governor, Kay Ivey. “It didn’t really occur to me when I saw that first email that it1d agoRolling StoneYou Heard Right: You Can Get These Noise-Cancelling Headphones for Under $60Snag a pair of good-quality noise cancelling headphones with 20 hours of battery life for just $60 right now1d agoInsider Monkey12 Best Big Data Stocks To Buy NowIn this article, we discuss 12 best big data stocks to buy now. If you want to see more stocks in this selection, check out 5 Best Big Data Stocks To Buy Now. According to Fortune Business Insights, the global big data analytics market was valued at $240.56 billion in 2021 and it is forecasted […]4h agoYahoo Canada StyleThis 'rugged' and 'spill-resistant' laptop is on sale for under $200 on AmazonSnag this durable laptop on sale for 49% off at Amazon Canada.11h agoMore Stories
TRENDINGABC News6 family members, including baby, shot dead at home in targeted 'massacre': SheriffABC News·1 min readTODAYThat's hot: Paris Hilton stars in ad for 2024 Summer Olympics in — where else? — ParisTODAY·1 min readFox NewsCalifornia public defender mysteriously dies in Mexico on 1-year wedding anniversary: reportsFox News·3 min readThe New York TimesSkipped Showers, Paper Plates: An Arizona Suburb's Water Is Cut OffThe New York Times·9 min readWHIOWHO DEY: Bengals fans wondering why Bills playoff game not at neutral siteWHIO·3 min read
POPULARDeepMind’s AI chatbot can do things that ChatGPT cannot, CEO claimsThe IndependentNew artificial intelligence tool worries educatorsCBS-NewyorkAI, do my homework! How ChatGPT pitted teachers against techAFPChatGPT could be used for good, but like many other AI models, it's rife with racist and discriminatory biasINSIDERA Chatbot Could Never Write This Article. Here’s Why.The Daily Beast
|
Microsoft to expand ChatGPT access as OpenAI investment rumors swirl
|
Microsoft expand ChatGPT access OpenAI investment rumors swirl HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE SEARCH SHOPPING YAHOO PLUS MORE... Download Yahoo News app Yahoo News Yahoo News query Sign Mail Sign view mail News US Politics World COVID19 Climate Change Health Science Originals The 360 Skullduggery Podcast Conspiracyland Us Close contentReutersMicrosoft expand ChatGPT access OpenAI investment rumors swirlRead articleFILE PHOTO: Microsoft logo office building New York, U.S.Jeffrey DastinJanuary 16, 2023, 8:01 PM2 min readBy Jeffrey DastinReuters Microsoft Corp Monday said widening access hugely popular software OpenAI, startup backing futuristic ChatGPT chatbot captivated Silicon Valley.Microsoft said startups tech, far previewed cloudcomputing customers program called Azure OpenAI Service, generally available, distinction thats expected bring flood new usage.The news comes Microsoft looked adding 1 billion stake OpenAI announced 2019, people familiar matter previously told Reuters. The news site Semafor reported earlier month Microsoft invest 10 billion; Microsoft declined comment potential deal.Public OpenAI surged following November release ChatGPT, textbased chatbot draft prose, poetry code command. ChatGPT powered generative artificial intelligence, conjures new content training vast amounts data tech Microsoft letting customers apply use.ChatGPT itself, underlying tech, soon available Microsofts cloud, said blog post.Microsoft said vetting customers applications mitigate potential abuse software, filters screen harmful content users input tech produce.The business potential software garnered massive venturecapital investment startups producing it, time funding dried up. Already, companies tech create marketing content demonstrate negotiate cable bill.Microsoft said CarMax, KPMG Azure OpenAI service. Its press release quoted Al Jazeera vice president saying service help news organization summarize translate content.Reporting By Jeffrey Dastin; Editing Leslie Adler Recommended StoriesMotley Fool2 Growth Stocks Down More Than 30 Buy Right NowThe Nasdaq Composite indexs level fallen 28 year trades 32 high. For willing weather challenges near term, todays tough market conditions actually possible build positions incredibly strong businesses prices leave room impressive returns. With mind, read Motley Fool contributors identified industryleading businesses great investment candidates purchased attractive prices.1d agoAssociated PressBelarus opens trial journalist prominent Polish paperBelarus Monday opened trial journalist prominent member countrys sizable Polish minority, latest series court cases critics authoritarian regime President Alexander Lukashenko. Poczobut, journalist influential Polish newspaper Gazeta Wyborcza figure Union Poles Belarus, bars detention March 2021. In Poland spokesman government, Piotr Mueller, said despite numerous diplomatic efforts, unfortunately, additional tools help area political freedom Belarus.11h agoMotley Fool6 Stocks With Lots CashCash cushion fall investors management flexibility acquire competitors, return money shareholders, invest business. And companies lots cash.1d agoMotley FoolThe SP 500 Just Had One Its Worst Years History. Heres What Usually Happens NextThe SP 500 declined sharply year, historical data says stock market rebound 2023.2d agoBusiness InsiderThe pandemic ended auto industrys ageold battle market shareSo long Ford GM stay focused moneymaking vehicles, lower market share wont necessarily bad carbuyers look out.13h agoCoinDeskShiba Inu Developers Reveal First Look Layer 2 Blockchain ShibariumEcosystem tokens shiba inu, leash bone serve upcoming Ethereumbased blockchain.15h agoBusiness InsiderSex, art theft, privacy: Lensa exploded overnight avatar app dealing public backlash. Heres know.In weeks Lensa AI began taking internet storm, app generated nearly controversies digital avatars.14h agoEngadgetApple unveil new 14 16inch MacBook Pros tomorrowApple said announcing 14 16inch MacBook Pro models M2 chips soon tomorrow.4h agoEngadgetSamsung SSDs memory cards 60 percent AmazonSamsung SSDs memory cards steeply discounted Amazon sale.10h agoMotley FoolWhy Meme Coins Dogecoin Shiba Inu Were Surging SaturdayThe highestcapitalized meme cryptos, Dogecoin CRYPTO: DOGE Shiba Inu CRYPTO: SHIB, coming ride. As Saturday night, Dogecoin risen nearly 9 preceding 24 hours, Shiba Inu advancing 7. Recent indications inflation continues fall led speculation Federal Reserve slow halt rate increases.2d agoFox NewsSimple iPhone hack makes reading app easierKurt CyberGuy Knutsson shows enlarge text, change button shapes customizations iPhone apps simple hack, making reading easier.10h agoUSA TODAYUpdated daily: Here 10 best Amazon deals DeWalt, TurboTax WinixScore amazing savings best Amazon deals tools, tax software, video games home essentials. Shop DeWalt, Winix, TurboTax more.1d agoBusiness InsiderGoogles massive New Year billboard ad told Apple fix pixelated photos videos texts iPhones AndroidsGoogle urged Apple adopt RCS messaging standard Get Message campaign August, ads calling Apple out.7h agoDecrypt MediaRising Solana Tide Surges 58 In Second Strong WeekThe onceheralded solana killer bounced back, briefly bumping Polygon ten.1d agoUSA TODAYWhat know Apple AirPods: connect, new AirPods Pro 2nd Generation, moreHeres need know Apple AirPods, including connect devices reset needed.12h agoForkast NewsBitcoin miners return winter storms, difficulty alltime highThe Bitcoin mining difficulty level jumped 10.26 Monday morning Hong Kong, hitting alltime high reading 37.59 trillion, U.Sbased miners came online recent winter storms forced unplug, according data . See related article: Bitcoin hashrate drops nearly 40 deadly U.S. storm unplugs []20h agoThe New York TimesAuburn Banned TikTok, Students Cant Stop Talking About ItDestini Ambus, senior Auburn University Alabama, surprised month new ban TikTok stateowned devices internet networks read news alert aloud friends. We like, Oh, thats weird, that, laughed moved on, Ambus, 21, editorinchief campus newspaper, said ban, ordered states governor, Kay Ivey. It didnt occur I saw email it1d agoRolling StoneYou Heard Right: You Can Get These NoiseCancelling Headphones Under 60Snag pair goodquality noise cancelling headphones 20 hours battery life 60 right now1d agoInsider Monkey12 Best Big Data Stocks To Buy NowIn article, discuss 12 best big data stocks buy now. If want stocks selection, check 5 Best Big Data Stocks To Buy Now. According Fortune Business Insights, global big data analytics market valued 240.56 billion 2021 forecasted []4h agoYahoo Canada StyleThis rugged spillresistant laptop sale 200 AmazonSnag durable laptop sale 49 Amazon Canada.11h agoMore Stories TRENDINGABC News6 family members, including baby, shot dead home targeted massacre: SheriffABC News1 min readTODAYThats hot: Paris Hilton stars ad 2024 Summer Olympics else? ParisTODAY1 min readFox NewsCalifornia public defender mysteriously dies Mexico 1year wedding anniversary: reportsFox News3 min readThe New York TimesSkipped Showers, Paper Plates: An Arizona Suburbs Water Is Cut OffThe New York Times9 min readWHIOWHO DEY: Bengals fans wondering Bills playoff game neutral siteWHIO3 min read POPULARDeepMinds AI chatbot things ChatGPT cannot, CEO claimsThe IndependentNew artificial intelligence tool worries educatorsCBSNewyorkAI, homework How ChatGPT pitted teachers techAFPChatGPT good, like AI models, rife racist discriminatory biasINSIDERA Chatbot Could Never Write This Article. Heres Why.The Daily Beast
| 2,023 |
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https://newsdaemon.com/2023/06/20/investors-finally-get-a-glimpse-of-ses-ai-corporation-ses-volume-hitting-the-figure-of-1-65-million/
| 2023-06-20T00:00:00 |
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Investors finally get a glimpse of SES AI Corporation (SES) volume hitting the figure of 1.65 million. - News Daemon
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Investors finally get a glimpse of SES AI Corporation (SES) volume hitting the figure of 1.65 million. - News Daemon
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Sana Meer
June 20, 2023
Investors finally get a glimpse of SES AI Corporation (SES) volume hitting the figure of 1.65 million.
Analyst Insights
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On June 16, 2023, SES AI Corporation (NYSE: SES) opened at $1.97, lower -3.55% from the last session. During the day, the shares moved up to $2.01 and dropped to $1.89 before settling in for the closing price of $1.97. Price fluctuations for SES have ranged from $1.33 to $6.42 over the past 52 weeks.
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Company’s average yearly earnings per share was noted 48.30% at the time writing. With a float of $212.90 million, this company’s outstanding shares have now reached $313.42 million.
Let’s look at the performance matrix of the company that is accounted for 200 employees.
SES AI Corporation (SES) Insider and Institutional Ownership
A key investor’s attitude towards the stock of the Auto Parts industry is another important factor to consider. The insider ownership of SES AI Corporation is 0.60%, while institutional ownership is 41.80%. The most recent insider transaction that took place on Jun 09, was worth 95,250. In this transaction CHIEF SCIENCE OFFICER of this company sold 50,000 shares at a rate of $1.91, taking the stock ownership to the 451,273 shares. Before that another transaction happened on May 19, when Company’s CHIEF FINANCIAL OFFICER sold 10,530 for $1.47, making the entire transaction worth $15,468. This insider now owns 1,586,664 shares in total.
SES AI Corporation (SES) Latest Financial update
If we go through the results of last quarter, which was made public on 12/30/2022, the company posted -$0.03 earnings per share (EPS) for the quarter, besting the agreed prediction (set at -$0.09) by $0.06. This company achieved a return on equity of -16.28. Wall Street market experts anticipate that the next fiscal year will bring earnings of -0.08 per share during the current fiscal year.
According to the Wall Street analysts, stocks earnings will be around 48.30% per share during the next fiscal year.
SES AI Corporation (NYSE: SES) Trading Performance Indicators
Check out the current performance indicators for SES AI Corporation (SES). In the past quarter, the stock posted a quick ratio of 22.30.
For the trailing twelve months, Company’s Diluted EPS (Earnings per Share) is -0.13, a number that is poised to hit -0.09 in the next quarter and is forecasted to reach -0.42 in one year’s time.
Technical Analysis of SES AI Corporation (SES)
SES AI Corporation (NYSE: SES) saw its 5-day average volume 1.01 million, a positive change from its year-to-date volume of 0.63 million. As of the previous 9 days, the stock’s Stochastic %D was 37.90%. Additionally, its Average True Range was 0.15.
During the past 100 days, SES AI Corporation’s (SES) raw stochastic average was set at 24.68%, which indicates a significant decrease from 56.38% during the past two weeks. Based on volatility metrics of the stock, it showed a historical volatility of 97.45% in the past 14 days, which was higher than the 76.47% volatility it showed in the past 100 days.
At the time of writing, stock’s 50-day Moving Average is $1.8300, while its 200-day Moving Average is $3.5549. Nevertheless, the first resistance level for the watch stands at $1.9767 in the near term. At $2.0533, the stock is likely to face the second major resistance level. The third major resistance level sits at $2.0967. If the price goes on to break the first support level at $1.8567, it is likely to go to the next support level at $1.8133. The third support level lies at $1.7367 if the price breaches the second support level.
SES AI Corporation (NYSE: SES) Key Stats
There are currently 350,005K shares outstanding in the company with a market cap of 689.21 million. Presently, the company’s annual sales total 0 K according to its annual income of -50,990 K. Last quarter, the company’s sales amounted to 0 K and its income totaled -16,230 K.
Tags(SES)NYSE: SESSES AI CorporationSES AI Corporation (NYSE: SES)SES SharesSES Stock
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Investors finally get a glimpse of SES AI Corporation (SES) volume hitting the figure of 1.65 million.
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Investors finally glimpse SES AI Corporation SES volume hitting figure 1.65 million. News Daemon Sign Markets Briefing Stock Headlines Todays Spotlight Trading Directions Sign WelcomeLog account username password Forgot password? Password recovery Recover password email News Daemon Read News Markets Briefing Stock Headlines Todays Spotlight Trading Directions Home Us Team News Daemon Read News Markets Briefing Stock Headlines Todays Spotlight Trading Directions Home Us Team Sana Meer June 20, 2023 Investors finally glimpse SES AI Corporation SES volume hitting figure 1.65 million. Analyst Insights Share FacebookTwitterPinterestWhatsApp On June 16, 2023, SES AI Corporation NYSE: SES opened 1.97, lower 3.55 session. During day, shares moved 2.01 dropped 1.89 settling closing price 1.97. Price fluctuations SES ranged 1.33 6.42 past 52 weeks. Top 5 EV Tech Stocks Buy 2023 The electric vehicle boom accelerating fast. According new report published BloombergNEF, annual spending passenger EVs hit 388 billion 2022, 53 year before. Like said, boom accelerating time buy EVrelated tech stocks now. Get free report, Top 5 EV Tech Stocks Buy 2023. Click Here Download FREE Report. Sponsored Companys average yearly earnings share noted 48.30 time writing. With float 212.90 million, companys outstanding shares reached 313.42 million. Lets look performance matrix company accounted 200 employees. SES AI Corporation SES Insider Institutional Ownership A key investors attitude stock Auto Parts industry important factor consider. The insider ownership SES AI Corporation 0.60, institutional ownership 41.80. The recent insider transaction took place Jun 09, worth 95,250. In transaction CHIEF SCIENCE OFFICER company sold 50,000 shares rate 1.91, taking stock ownership 451,273 shares. Before transaction happened May 19, Companys CHIEF FINANCIAL OFFICER sold 10,530 1.47, making entire transaction worth 15,468. This insider owns 1,586,664 shares total. SES AI Corporation SES Latest Financial update If results quarter, public 12302022, company posted 0.03 earnings share EPS quarter, besting agreed prediction set 0.09 0.06. This company achieved return equity 16.28. Wall Street market experts anticipate fiscal year bring earnings 0.08 share current fiscal year. According Wall Street analysts, stocks earnings 48.30 share fiscal year. SES AI Corporation NYSE: SES Trading Performance Indicators Check current performance indicators SES AI Corporation SES. In past quarter, stock posted quick ratio 22.30. For trailing months, Companys Diluted EPS Earnings Share 0.13, number poised hit 0.09 quarter forecasted reach 0.42 years time. Technical Analysis SES AI Corporation SES SES AI Corporation NYSE: SES saw 5day average volume 1.01 million, positive change yeartodate volume 0.63 million. As previous 9 days, stocks Stochastic D 37.90. Additionally, Average True Range 0.15. During past 100 days, SES AI Corporations SES raw stochastic average set 24.68, indicates significant decrease 56.38 past weeks. Based volatility metrics stock, showed historical volatility 97.45 past 14 days, higher 76.47 volatility showed past 100 days. At time writing, stocks 50day Moving Average 1.8300, 200day Moving Average 3.5549. Nevertheless, resistance level watch stands 1.9767 near term. At 2.0533, stock likely face second major resistance level. The major resistance level sits 2.0967. If price goes break support level 1.8567, likely support level 1.8133. The support level lies 1.7367 price breaches second support level. SES AI Corporation NYSE: SES Key Stats There currently 350,005K shares outstanding company market cap 689.21 million. Presently, companys annual sales total 0 K according annual income 50,990 K. Last quarter, companys sales amounted 0 K income totaled 16,230 K. TagsSESNYSE: SESSES AI CorporationSES AI Corporation NYSE: SESSES SharesSES Stock Latest Trading Directions On What Basis Did Swvl Holdings Corp SWVL Stock Rise 47 PreHours? January 3, 2023 0 When checked, Swvl Holdings Corp. Nasdaq: SWVL, a... Trading Directions How Does The Clearmind Medicine CMND Stock Price rease By 10 In Extended Session? December 12, 2022 0 As result biotech company hiring an... Trading Directions What Drove Organovo ONVO Stock Up 15 In AfterHour Session On Tuesday? November 23, 2022 0 Shares Organovo Holdings . Nasdaq: ONVO up... Trading Directions Is There Any Reason As To Why The Zai Lab ZLAB Stock Expanded By 13? November 1, 2022 0 The biopharmaceutical business Zai Lab Limited NASDAQ: ZLAB, which... Newsletter Dont miss Markets Briefing SaverOne 2014 Ltd SVRE Reports Surge AfterMarket Trading Following Expansion Isuzu Relationship June 7, 2023 0 SaverOne 2014 Ltd SVRE witnessed significant surge in... Markets Briefing Wearable Devices WLDS Stock Rose 12 On Tuesday, But On What Basis? January 31, 2023 0 Wearable Devices Ltd NASD: WLDS experiencing significant growth... Markets Briefing Did Anything Boost ObsEva OBSV Stock In PreHours Trading? December 15, 2022 0 Following update, shares ObsEva SA NASD: OBSV... Markets Briefing How Did The Kalera KAL Stock Rise 32 PreHours? November 30, 2022 0 At time recent check, shares... Markets Briefing Why Has Selina Hospitality SLNA Stock reased In Extended Session On Friday? November 7, 2022 0 The stock Selina Hospitality PLC NASD: SLNA, which... Investors note Nordstrom .s JWN performance week, 3.44. Sana Meer June 20, 2023 A new trading day began June 16, 2023, Nordstrom . NYSE: JWN stock priced 19.39, 1.60 previous day... Read . JD beta value 0.50 appears promising investment opportunity. Zack King June 20, 2023 . NASDAQ: JD kicked June 16, 2023, price 40.67, 0.28 previous trading day. During the... Read Now XPeng .s volume hit 17.46 million, investors glimpse size. Steve Mayer June 20, 2023 XPeng . NYSE: XPEV June 16, 2023, started session price 11.78, plunging 1.81 previous trading day.... Read LEAVE A REPLY Cancel reply Comment: Please enter comment Name: Please enter Email: You entered incorrect email address Please enter email address Website: Save name, email, website browser time I comment. About Home Us Team Most recent Analyst Insights Investors note Nordstrom .s JWN performance week, 3.44. June 20, 2023 0 Top Picks . JD beta value 0.50 appears promising investment opportunity. June 20, 2023 0 Markets Now XPeng .s volume hit 17.46 million, investors glimpse size. June 20, 2023 0 Company News A look The Macerich Companys MAC recent performance gives investors glimpse hope. June 20, 2023 0 Most popular Stock Headlines How Does The Kalera KAL Stock Price rease By 42 PreHours? February 6, 2023 0 Stock Headlines Why Did Sphere 3D ANY Stock Go 9 Higher During In AfterHour Session On Tuesday? December 21, 2022 0 Stock Headlines This mornings stock analyst sentiment: DoorDash . DASH, Rio Tinto plc RIO, Appharvest APPH December 5, 2022 0 Stock Headlines Why Is The InMed INM Stock Rising Today? November 11, 2022 0 Newsdaemon .
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https://newsfinancialanalyst.com/2019-2025-artificial-intelligence-market-analysis-report-with-leading-players-applications-and-major-types-ai-technologies-machine-learning-deep-learning-computer-vision-natural-language-processi/
| 2020-01-21T00:00:00 |
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2019-2025 Artificial Intelligence Market analysis report with Leading players, Applications and Major Types AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing – Financial Analyst
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2019-2025 Artificial Intelligence Market analysis report with Leading players, Applications and Major Types AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing – Financial Analyst
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2019-2025 Artificial Intelligence Market analysis report with Leading players, Applications and Major Types AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing
January 21, 2020 Hervey Economy Comments Off on 2019-2025 Artificial Intelligence Market analysis report with Leading players, Applications and Major Types AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing
Artificial Intelligence Market
The Artificial Intelligence market is entering a dynamic phase of growth where adoption in the enterprise sector continues unabated, but there are questions emerging within research and academic circles about whether the technologies fueling the Artificial Intelligence revolution, particularly deep learning, might be hitting a bottleneck.
To Access PDF Sample Report, Click Here:
https://www.reportsmonitor.com/request_sample/184706
Scope of the Report:
The recent controversy surrounding Facebook and data privacy, Artificial Intelligence safety and ability Artificial Intelligence with Uber’s self-driving car fatality, or questions about authenticity and the power of generative algorithms to create fake images and video, are all issues that highlight the risks and challenges facing Artificial Intelligence in 2018. The challenges are to be expected as we move from a hype phase into a reality phase as part of the cycle of Artificial Intelligence market development. Tractica sees these challenges as part of the maturity curve for Artificial Intelligence, where the next few years will see a sobering of expectations, while the momentum around use cases and applications continues to build.
This Study converges on the top players in the global Artificial Intelligence market:
Bitcoin Blockchain, Ethereum, Blockchain Technologies, Factom, Chain, IBM, Microsoft, ConsenSys, Earn, Filament, Slock.IT, Gem, Everledger, Xapo, Abra, Hyperledger Project, R3, Digital Asset Holdings, Ripple, Visa, Barclays, Overstock, Additional Industry Participants
Market Segment by Regions, regional analysis covers , North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers, AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Machine Reasoning, Strong AI
Market Segment by Applications, can be divided into, Telecommunications, Internet Services, Advertising, Healthcare, Automotive, Retail
Speak to our industry expertise and Artificial Intelligencel up to 50% discount on Market Report @
https://www.reportsmonitor.com/check_discount/184706
This growth is evidenced in Tractica’s most recent update to the firm’s AI market forecasts model, which is built upon a taxonomy of 294 real-world use cases for AI, distributed across 30 different industry sectors. Compared to 6 months ago, Tractica sees continued growth in use cases, adding 28 new use cases in this iteration of the model. Telecommunications, consumer (internet services), advertising, healthcare, automotive, and retail are some of the big industry verticals that will lead in AI adoption.
The report firstly introduced the Artificial Intelligence basics: Definitions, segment classifications, outlook and market overview, product specifications, manufacturing processes, company profile analysis, cost structures, raw materials and so on. Moreover, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.
Some of the major questions are answered:
What are the different types of Artificial Intelligence equipment and products?
What are the market trends and major developments patterns equipment’s and products?
Who are the key industry pioneers and what is their overall share in the global Artificial Intelligence market?
What are the multiple used case scenarios considered under various end-users and applications for the market?
What are the different sales, marketing, and distribution channels in the global industry?
Artificial Intelligencel complete report of this research with TOC and List of Figures at:
https://www.reportsmonitor.com/report/184706/Artificial-Intelligence-Market
The global Artificial Intelligence Market report covers the valuable data useful for the estimation of the market and comprehensive figures of the key players along with their growth estimation in the upcoming period. The report implements various elements to process the industry data. The global industry report presents the factors, such as gross margin, consumption, production, export, cost, growth rate, share, size and capacity utilization, impacting on the global Artificial Intelligence Market.
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2019-2025 Artificial Intelligence Market analysis report with Leading players, Applications and Major Types AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing
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20192025 Artificial Intelligence Market analysis report Leading players, Applications Major Types AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing Financial Analyst Skip content Financial Analyst Business Economy Finance World About Our Team 20192025 Artificial Intelligence Market analysis report Leading players, Applications Major Types AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing January 21, 2020 Hervey Economy Comments Off 20192025 Artificial Intelligence Market analysis report Leading players, Applications Major Types AI Technologies, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing Artificial IntelligenceMarket The Artificial Intelligencemarket entering dynamic phase growth adoption enterprise sector continues unabated, questions emerging research academic circles technologies fueling Artificial Intelligencerevolution, particularly deep learning, hitting bottleneck. To Access PDF Sample Report, Click Here: Scope Report: The recent controversy surrounding Facebook data privacy, Artificial Intelligencesafety abilityArtificial Intelligence Ubers selfdriving car fatality, questions authenticity power generative algorithms create fake images video, issues highlight risks challenges facing Artificial Intelligencein 2018. The challenges expected hype phase reality phase cycle Artificial Intelligencemarket development. Tractica sees challenges maturity curve Artificial Intelligence, years sobering expectations, momentum use cases applications continues build. This Study converges thetop playersin theglobalArtificial Intelligencemarket: Bitcoin Blockchain,Ethereum,Blockchain Technologies,Factom,Chain,IBM,Microsoft,ConsenSys,Earn,Filament,Slock.IT,Gem,Everledger,Xapo,Abra,Hyperledger Project,R3,Digital Asset Holdings,Ripple,Visa,Barclays,Overstock,Additional Industry Participants Market Segment Regions, regional analysis covers,North America United States, Canada Mexico,Europe Germany, France, UK, Russia Italy,AsiaPacific China, Japan, Korea, India Southeast Asia,South America Brazil, Argentina, Colombia,Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa Market Segment Type, covers,AI Technologies,Machine Learning,Deep Learning,Computer Vision,Natural Language Processing,Machine Reasoning,Strong AI Market Segment Applications, divided into,Telecommunications,Internet Services,Advertising,Healthcare,Automotive,Retail Speak industry expertise andArtificial Intelligencel 50 discount Market Report@ This growth evidenced Tracticas recent update firms AI market forecasts model, built taxonomy 294 realworld use cases AI, distributed 30 different industry sectors. 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https://newslanes.com/2022/06/29/the-global-machine-learning-as-a-service-market-size-is-expected-to-reach-36-2-billion-by-2028-rising-at-a-market-growth-of-31-6-cagr-during-the-forecast-period/
| 2022-06-29T00:00:00 |
en
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The Global Machine Learning As A Service Market Size Is Expected To Reach $36.2 Billion By 2028, Rising At A Market Growth Of 31.6% CAGR During The Forecast Period
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The Global Machine Learning As A Service Market Size Is Expected To Reach $36.2 Billion By 2028, Rising At A Market Growth Of 31.6% CAGR During The Forecast Period
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The Global Machine learning as a Service Market size is expected to reach $36.2 billion by 2028, rising at a market growth of 31.6% CAGR during the forecast period
Post author
By Google News
Post date
June 29, 2022
No Comments on The Global Machine learning as a Service Market size is expected to reach $36.2 billion by 2028, rising at a market growth of 31.6% CAGR during the forecast period
New York, June 29, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Machine learning as a Service Market Size, Share & Industry Trends Analysis Report By End User, By Offering, By Organization Size, By Application, By Regional Outlook and Forecast, 2022 – 2028” – https://www.reportlinker.com/p06289268/?utm_source=GNW It is designed to include artificial intelligence (AI) and cognitive computing functionalities. Machine learning as a service (MLaaS) refers to a group of cloud computing services that provide machine learning technologies.
Increased demand for cloud computing, as well as growth connected with artificial intelligence and cognitive computing, are major machine learning as service industry growth drivers. Growth in demand for cloud-based solutions, such as cloud computing, rise in adoption of analytical solutions, growth of the artificial intelligence & cognitive computing market, increased application areas, and a scarcity of trained professionals are all influencing the machine learning as a service market.
As more businesses migrate their data from on-premise storage to cloud storage, the necessity for efficient data organization grows. Since MLaaS platforms are essentially cloud providers, they enable solutions to appropriately manage data for machine learning experiments and data pipelines, making it easier for data engineers to access and process the data.
For organizations, MLaaS providers offer capabilities like data visualization and predictive analytics. They also provide APIs for sentiment analysis, facial recognition, creditworthiness evaluations, corporate intelligence, and healthcare, among other things. The actual computations of these processes are abstracted by MLaaS providers, so data scientists don’t have to worry about them. For machine learning experimentation and model construction, some MLaaS providers even feature a drag-and-drop interface.
COVID-19 Impact
The COVID-19 pandemic has had a substantial impact on numerous countries’ health, economic, and social systems. It has resulted in millions of fatalities across the globe and has left the economic and financial systems in tatters. Individuals can benefit from knowledge about individual-level susceptibility variables in order to better understand and cope with their psychological, emotional, and social well-being.
Artificial intelligence technology is likely to aid in the fight against the COVID-19 pandemic. COVID-19 cases are being tracked and traced in several countries utilizing population monitoring approaches enabled by machine learning and artificial intelligence. Researchers in South Korea, for example, track coronavirus cases using surveillance camera footage and geo-location data.
Market Growth Factors
Increased Demand for Cloud Computing and a Boom in Big Data
The industry is growing due to the increased acceptance of cloud computing technologies and the use of social media platforms. Cloud computing is now widely used by all companies that supply enterprise storage solutions. Data analysis is performed online using cloud storage, giving the advantage of evaluating real-time data collected on the cloud. Cloud computing enables data analysis from any location and at any time. Moreover, using the cloud to deploy machine learning allows businesses to get useful data, such as consumer behavior and purchasing trends, virtually from linked data warehouses, lowering infrastructure and storage costs. As a result, the machine learning as a service business is growing as cloud computing technology becomes more widely adopted.
Use of Machine Learning to Fuel Artificial Intelligence Systems
Machine learning is used to fuel reasoning, learning, and self-correction in artificial intelligence (AI) systems. Expert systems, speech recognition, and machine vision are examples of AI applications. The rise in the popularity of AI is due to current efforts such as big data infrastructure and cloud computing. Top companies across industries, including Google, Microsoft, and Amazon (Software & IT); Bloomberg, American Express (Financial Services); and Tesla and Ford (Automotive), have identified AI and cognitive computing as a key strategic driver and have begun investing in machine learning to develop more advanced systems. These top firms have also provided financial support to young start-ups in order to produce new creative technology.
Market Restraining Factors
Technical Restraints and Inaccuracies of ML
The ML platform provides a plethora of advantages that aid in market expansion. However, several parameters on the platform are projected to impede market expansion. The presence of inaccuracy in these algorithms, which are sometimes immature and underdeveloped, is one of the market’s primary constraining factors. In the big data and machine learning manufacturing industries, precision is crucial. A minor flaw in the algorithm could result in incorrect items being produced. This would exorbitantly increase the operational costs for the owner of the manufacturing unit than decrease it.
End User Outlook
Based on End User, the market is segmented into IT & Telecom, BFSI, Manufacturing, Retail, Healthcare, Energy & Utilities, Public Sector, Aerospace & Defense, and Others. The retail segment garnered a substantial revenue share in the machine learning as a service market in 2021. E-commerce has proven to be a key force in the retail trade industry. Machine intelligence is used by retailers to collect data, evaluate it, and use it to provide customers with individualized shopping experiences. These are some of the factors that influence the retail industries’ demand for this technology.
Offering Outlook
Based on Offering, the market is segmented into Services Only and Solution (Software Tools). The services only segment acquired the largest revenue share in the machine learning as a service market in 2021. The market for machine learning services is expected to grow due to factors such as an increase in application areas and growth connected with end-use industries in developing economies. To enhance the usage of machine learning services, industry participants are focusing on implementing technologically advanced solutions. The use of machine learning services in the healthcare business for cancer detection, as well as checking ECG and MRI, is expanding the market. Machine learning services’ benefits, such as cost reduction, demand forecasting, real-time data analysis, and increased cloud use, are projected to open up considerable prospects for the market.
Organization Size Outlook
Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. The small and medium enterprises segment procured a substantial revenue share in the machine learning as a service market in 2021. This is because implementation of machine learning lets SMEs optimize its processes on a tight budget. AI and machine learning are projected to be the major technologies that allow SMEs to save money on ICT and gain access to digital resources in the near future.
Application Outlook
Based on Application, the market is segmented into Marketing & Advertising, Fraud Detection & Risk Management, Computer vision, Security & Surveillance, Predictive analytics, Natural Language Processing, Augmented & Virtual Reality, and Others. The marketing and advertising segment acquired the largest revenue share in the machine learning as a service market in 2021. The goal of a recommendation system is to provide customers with products that they are currently interested in. The following is the marketing work algorithm: Hypotheses are developed, tested, evaluated, and analyzed by marketers. Because information changes every second, this effort is time-consuming and labor-intensive, and the findings are occasionally wrong. Machine learning allows marketers to make quick decisions based on large amounts of data. Machine learning allows businesses to respond more quickly to changes in the quality of traffic generated by advertising efforts. As a result, the business can spend more time developing hypotheses rather than doing mundane tasks.
Regional Outlook
Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. The Asia Pacific region garnered a significant revenue share in the machine learning as a service market in 2021. Leading companies are concentrating their efforts in Asia-Pacific to expand their operations, as the region is likely to see rapid development in the deployment of security services, particularly in the banking, financial services, and insurance (BFSI) sector. To provide better customer service, industry participants are realizing the significance of providing multi-modal platforms. The rise in AI application adoption is likely to be the primary trend driving market growth in this area. Furthermore, government organizations have taken important steps to accelerate the adoption of machine learning and related technologies in this region.
The major strategies followed by the market participants are Product Launches and Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Machine learning as a Service Market. Companies such Amazon Web Services, Inc., SAS Institute, Inc., IBM Corporation are some of the key innovators in the Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Hewlett-Packard Enterprise Company, Oracle Corporation, Google LLC, Amazon Web Services, Inc. (Amazon.com, Inc.), IBM Corporation, Microsoft Corporation, Fair Isaac Corporation (FICO), SAS Institute, Inc., Yottamine Analytics, LLC, and BigML.
Recent Strategies deployed in Machine learning as a Service Market
Partnerships, Collaborations and Agreements:
Mar-2022: Google entered into a partnership with BT, a British telecommunications company. Under the partnership, BT utilized a suite of Google Cloud products and services—including cloud infrastructure, machine learning (ML) and artificial intelligence (AI), data analytics, security, and API management—to offer excellent customer experiences, decrease costs, and risks, and create more revenue streams. Google aimed to enable BT to get access to hundreds of new business use-cases to solidify its goals around digital offerings and developing hyper-personalized customer engagement.
Feb-2022: SAS entered into a partnership with TecCentric, a company providing customized IT solutions. SAS aimed to fasten TecCentric’s journey towards discovery with artificial intelligence (AI), machine learning (ML), and advanced analytics. Under the partnership, TecCentric aimed to work with SAS to customize services and solutions for a broad range of verticals from the public sector, to banking, education, healthcare, and more, granting them access to the complete analytics cycle with SAS’s enhanced AI solution offering as well as its leading fraud and financial crimes analytics and reporting.
Feb-2022: Microsoft entered into a partnership with Tata Consultancy Services, an Indian company focusing on providing information technology services and consulting. Under the partnership, Tata Consultancy Services leveraged its software, TCS Intelligent Urban Exchange (IUX) and TCS Customer Intelligence & Insights (CI&I), to enable businesses in providing hyper-personalized customer experiences. CI&I and IUX are supported by artificial intelligence (AI), and machine learning, and assist in real-time data analytics. The CI&I software empowered retailers, banks, insurers, and other businesses to gather insights, predictions, and recommended actions in real-time to enhance the satisfaction of customers.
Jun-2021: Amazon Web Services entered into a partnership with Salesforce, a cloud-based software company. The partnership enabled to utilize complete set of Salesforce and AWS capabilities simultaneously to rapidly develop and deploy new business applications that facilitate digital transformation. Salesforce also embedded AWS services for voice, video, artificial intelligence (AI), and machine learning (ML) directly in new applications for sales, service, and industry vertical use cases.
Apr-2021: Amazon formed a partnership with Basler, a company known for its product line of area scan, line scan, and network cameras. The partnership began as Amazon launched a succession of services for industrial machine learning, including its latest Lookout for Vision cloud AI service for factory inspection. Customers can integrate AWS Panorama SDK within its platform, and thus utilize a common architecture to perform multiple tasks and accommodate a broad range of performance and cost. The integration of AWS Panorama empowered customers to adopt and run machine learning applications on edge devices with additional support for device management and accuracy tracking.
Dec-2020: IBM teamed up with Mila, a Quebec Artificial Intelligence Institute. Under the collaboration, both organizations aimed to quicken machine learning using Oríon, an open-source technology. After the integration of Mila’s open-source Oríon software and IBM’s Watson Machine Learning Accelerator, IBM also enhanced the deployment of state-of-the-art algorithms, along with improved machine learning and deep learning capabilities for AI researchers and data scientists. IBM’s Spectrum Computing team based out of Canada Lab contributes substantially to Oríon’s code base.
Oct-2020: SAS entered into a partnership with TMA Solutions, a software outsourcing company based in Vietnam. Under the partnership, SAS and TMA Solutions aimed to fasten the growth of businesses in Vietnam through Artificial Intelligence (AI) and Data Analytics. SAS and TMA helped clients in Vietnam quicken the deployment and growth of advanced analytics and look for new methods to propel innovation in AI, especially in the fields of Machine Learning, Computer Vision, Natural Language Processing (NLP), and other technologies.
Product Launches and Product Expansions:
May-2022: Hewlett Packard launched HPE Swarm Learning and the new Machine Learning (ML) Development System, two AI and ML-based solutions. These new solutions increase the accuracy of models, solve AI infrastructure burdens, and improve data privacy standards. The company declared the new tool a “breakthrough AI solution” that focuses on fast-tracking insights at the edge, with attributes ranging from identifying card fraud to diagnosing diseases.
Apr-2022: Hewlett Packard released Machine Learning Development System (MLDS) and Swarm Learning, its new machine learning solutions. The two solutions are focused on simplifying the burdens of AI development in a development environment that progressively consists of large amounts of protected data and specialized hardware. The MLDS provides a full software and services stack, including a training platform (the HPE Machine Learning Development Environment), container management (Docker), cluster management (HPE Cluster Manager), and Red Hat Enterprise Linux.
May-2021: Google released Vertex AI, a novel managed machine learning platform that enables developers to more easily deploy and maintain their AI models. Engineers can use Vertex AI to manage video, image, text, and tabular datasets, and develop machine learning pipelines to train and analyze models utilizing Google Cloud algorithms or custom training code. After that the engineers can install models for online or batch use cases all on scalable managed infrastructure.
Mar-2021: Microsoft released updates to Azure Arc, its service that brought Azure products and management to multiple clouds, edge devices, and data centers with auditing, compliance, and role-based access. Microsoft also made Azure Arc-enabled Kubernetes available. Azure Arc-enabled Machine Learning and Azure Arc-enabled Kubernetes are developed to aid companies to find a balance between enjoying the advantages of the cloud and maintaining apps and maintaining apps and workloads on-premises for regulatory and operational reasons. The new services enable companies to implement Kubernetes clusters and create machine learning models where data lives, as well as handle applications and models from a single dashboard.
Jul-2020: Hewlett Packard released HPE Ezmeral, a new brand and software portfolio developed to assist enterprises to quicken digital transformation across their organization, from edge to cloud. The HPE Ezmeral goes from a portfolio consisting of container orchestration and management, AI/ML, and data analytics to cost control, IT automation and AI-driven operations, and security.
Acquisitions and Mergers:
Jun-2021: Hewlett Packard completed the acquisition of Determined AI, a San Francisco-based startup that offers a strong and solid software stack to train AI models faster, at any scale, utilizing its open-source machine learning (ML) platform. Hewlett Packard integrated Determined AI’s unique software solution with its world-leading AI and high-performance computing (HPC) products to empower ML engineers to conveniently deploy and train machine learning models to offer faster and more precise analysis from their data in almost every industry.
Scope of the Study
Market Segments covered in the Report:
By End User
• IT & Telecom
• BFSI
• Manufacturing
• Retail
• Healthcare
• Energy & Utilities
• Public Sector
• Aerospace & Defense
• Others
By Offering
• Services Only
• Solution (Software Tools)
By Organization Size
• Large Enterprises
• Small & Medium Enterprises
By Application
• Marketing & Advertising
• Fraud Detection & Risk Management
• Computer vision
• Security & Surveillance
• Predictive analytics
• Natural Language Processing
• Augmented & Virtual Reality
• Others
By Geography
• North America
o US
o Canada
o Mexico
o Rest of North America
• Europe
o Germany
o UK
o France
o Russia
o Spain
o Italy
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o South Korea
o Singapore
o Malaysia
o Rest of Asia Pacific
• LAMEA
o Brazil
o Argentina
o UAE
o Saudi Arabia
o South Africa
o Nigeria
o Rest of LAMEA
Companies Profiled
• Hewlett-Packard Enterprise Company
• Oracle Corporation
• Google LLC
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• IBM Corporation
• Microsoft Corporation
• Fair Isaac Corporation (FICO)
• SAS Institute, Inc.
• Yottamine Analytics, LLC
• BigML
Unique Offerings
• Exhaustive coverage
• Highest number of market tables and figures
• Subscription based model available
• Guaranteed best price
• Assured post sales research support with 10% customization freeRead the full report: https://www.reportlinker.com/p06289268/?utm_source=GNW
About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.
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The Global Machine Learning As A Service Market Size Is Expected To Reach $36.2 Billion By 2028, Rising At A Market Growth Of 31.6% CAGR During The Forecast Period
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The Global Machine Learning As A Service Market Size Is Expected To Reach 36.2 Billion By 2028, Rising At A Market Growth Of 31.6 CAGR During The Forecast Period Skip content NewslanesThe News Hub Menu Automotive Business Crypto Covid19 Celebrities Gaming Entertainment Pets Tech Sports for: Close search Close Menu Automotive Business Crypto Covid19 Celebrities Gaming Entertainment Pets Tech Sports Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Categories Technology The Global Machine learning Service Market size expected reach 36.2 billion 2028, rising market growth 31.6 CAGR forecast period Post author By Google News Post date June 29, 2022 No Comments The Global Machine learning Service Market size expected reach 36.2 billion 2028, rising market growth 31.6 CAGR forecast period New York, June 29, 2022 GLOBE NEWSWIRE announces release report Global Machine learning Service Market Size, Share Industry Trends Analysis Report By End User, By Offering, By Organization Size, By Application, By Regional Outlook Forecast, 2022 2028 It designed include artificial intelligence AI cognitive computing functionalities. Machine learning service MLaaS refers group cloud computing services provide machine learning technologies. reased demand cloud computing, growth connected artificial intelligence cognitive computing, major machine learning service industry growth drivers. Growth demand cloudbased solutions, cloud computing, rise adoption analytical solutions, growth artificial intelligence cognitive computing market, increased application areas, scarcity trained professionals influencing machine learning service market. As businesses migrate data onpremise storage cloud storage, necessity efficient data organization grows. Since MLaaS platforms essentially cloud providers, enable solutions appropriately manage data machine learning experiments data pipelines, making easier data engineers access process data. For organizations, MLaaS providers offer capabilities like data visualization predictive analytics. They provide APIs sentiment analysis, facial recognition, creditworthiness evaluations, corporate intelligence, healthcare, things. The actual computations processes abstracted MLaaS providers, data scientists dont worry them. For machine learning experimentation model construction, MLaaS providers feature draganddrop interface. COVID19 Impact The COVID19 pandemic substantial impact numerous countries health, economic, social systems. It resulted millions fatalities globe left economic financial systems tatters. Individuals benefit knowledge individuallevel susceptibility variables order better understand cope psychological, emotional, social wellbeing. Artificial intelligence technology likely aid fight COVID19 pandemic. COVID19 cases tracked traced countries utilizing population monitoring approaches enabled machine learning artificial intelligence. Researchers South Korea, example, track coronavirus cases surveillance camera footage geolocation data. Market Growth Factors reased Demand Cloud Computing Boom Big Data The industry growing increased acceptance cloud computing technologies use social media platforms. Cloud computing widely companies supply enterprise storage solutions. Data analysis performed online cloud storage, giving advantage evaluating realtime data collected cloud. Cloud computing enables data analysis location time. Moreover, cloud deploy machine learning allows businesses useful data, consumer behavior purchasing trends, virtually linked data warehouses, lowering infrastructure storage costs. As result, machine learning service business growing cloud computing technology widely adopted. Use Machine Learning Fuel Artificial Intelligence Systems Machine learning fuel reasoning, learning, selfcorrection artificial intelligence AI systems. Expert systems, speech recognition, machine vision examples AI applications. The rise popularity AI current efforts big data infrastructure cloud computing. Top companies industries, including Google, Microsoft, Amazon Software IT; Bloomberg, American Express Financial Services; Tesla Ford Automotive, identified AI cognitive computing key strategic driver begun investing machine learning develop advanced systems. These firms provided financial support young startups order produce new creative technology. Market Restraining Factors Technical Restraints Inaccuracies ML The ML platform provides plethora advantages aid market expansion. However, parameters platform projected impede market expansion. The presence inaccuracy algorithms, immature underdeveloped, markets primary constraining factors. In big data machine learning manufacturing industries, precision crucial. A minor flaw algorithm result incorrect items produced. This exorbitantly increase operational costs owner manufacturing unit decrease it. End User Outlook Based End User, market segmented IT Telecom, BFSI, Manufacturing, Retail, Healthcare, Energy Utilities, Public Sector, Aerospace Defense, Others. The retail segment garnered substantial revenue share machine learning service market 2021. Ecommerce proven key force retail trade industry. Machine intelligence retailers collect data, evaluate it, use provide customers individualized shopping experiences. These factors influence retail industries demand technology. Offering Outlook Based Offering, market segmented Services Only Solution Software Tools. The services segment acquired largest revenue share machine learning service market 2021. The market machine learning services expected grow factors increase application areas growth connected enduse industries developing economies. To enhance usage machine learning services, industry participants focusing implementing technologically advanced solutions. The use machine learning services healthcare business cancer detection, checking ECG MRI, expanding market. Machine learning services benefits, cost reduction, demand forecasting, realtime data analysis, increased cloud use, projected open considerable prospects market. Organization Size Outlook Based Organization Size, market segmented Large Enterprises Small Medium Enterprises. The small medium enterprises segment procured substantial revenue share machine learning service market 2021. This implementation machine learning lets SMEs optimize processes tight budget. AI machine learning projected major technologies allow SMEs save money ICT gain access digital resources near future. Application Outlook Based Application, market segmented Marketing Advertising, Fraud Detection Risk Management, Computer vision, Security Surveillance, Predictive analytics, Natural Language Processing, Augmented Virtual Reality, Others. The marketing advertising segment acquired largest revenue share machine learning service market 2021. The goal recommendation provide customers products currently interested in. The following marketing work algorithm: Hypotheses developed, tested, evaluated, analyzed marketers. Because information changes second, effort timeconsuming laborintensive, findings occasionally wrong. Machine learning allows marketers quick decisions based large amounts data. Machine learning allows businesses respond quickly changes quality traffic generated advertising efforts. As result, business spend time developing hypotheses mundane tasks. Regional Outlook Based Regions, market segmented North America, Europe, Asia Pacific, Latin America, Middle East Africa. The Asia Pacific region garnered significant revenue share machine learning service market 2021. Leading companies concentrating efforts AsiaPacific expand operations, region likely rapid development deployment security services, particularly banking, financial services, insurance BFSI sector. To provide better customer service, industry participants realizing significance providing multimodal platforms. The rise AI application adoption likely primary trend driving market growth area. Furthermore, government organizations taken important steps accelerate adoption machine learning related technologies region. The major strategies followed market participants Product Launches Partnerships. Based Analysis presented Cardinal matrix; Microsoft Corporation Google LLC forerunners Machine learning Service Market. Companies Amazon Web Services, ., SAS Institute, ., IBM Corporation key innovators Market. The market research report covers analysis key stake holders market. Key companies profiled report include HewlettPackard Enterprise Company, Oracle Corporation, Google LLC, Amazon Web Services, . , ., IBM Corporation, Microsoft Corporation, Fair Isaac Corporation FICO, SAS Institute, ., Yottamine Analytics, LLC, BigML. Recent Strategies deployed Machine learning Service Market Partnerships, Collaborations Agreements: Mar2022: Google entered partnership BT, British telecommunications company. Under partnership, BT utilized suite Google Cloud products servicesincluding cloud infrastructure, machine learning ML artificial intelligence AI, data analytics, security, API managementto offer excellent customer experiences, decrease costs, risks, create revenue streams. Google aimed enable BT access hundreds new business usecases solidify goals digital offerings developing hyperpersonalized customer engagement. Feb2022: SAS entered partnership TecCentric, company providing customized IT solutions. SAS aimed fasten TecCentrics journey discovery artificial intelligence AI, machine learning ML, advanced analytics. Under partnership, TecCentric aimed work SAS customize services solutions broad range verticals public sector, banking, education, healthcare, more, granting access complete analytics cycle SASs enhanced AI solution offering leading fraud financial crimes analytics reporting. Feb2022: Microsoft entered partnership Tata Consultancy Services, Indian company focusing providing information technology services consulting. Under partnership, Tata Consultancy Services leveraged software, TCS Intelligent Urban Exchange IUX TCS Customer Intelligence Insights CII, enable businesses providing hyperpersonalized customer experiences. CII IUX supported artificial intelligence AI, machine learning, assist realtime data analytics. The CII software empowered retailers, banks, insurers, businesses gather insights, predictions, recommended actions realtime enhance satisfaction customers. Jun2021: Amazon Web Services entered partnership Salesforce, cloudbased software company. The partnership enabled utilize complete set Salesforce AWS capabilities simultaneously rapidly develop deploy new business applications facilitate digital transformation. Salesforce embedded AWS services voice, video, artificial intelligence AI, machine learning ML directly new applications sales, service, industry vertical use cases. Apr2021: Amazon formed partnership Basler, company known product line area scan, line scan, network cameras. The partnership began Amazon launched succession services industrial machine learning, including latest Lookout Vision cloud AI service factory inspection. Customers integrate AWS Panorama SDK platform, utilize common architecture perform multiple tasks accommodate broad range performance cost. The integration AWS Panorama empowered customers adopt run machine learning applications edge devices additional support device management accuracy tracking. Dec2020: IBM teamed Mila, Quebec Artificial Intelligence Institute. Under collaboration, organizations aimed quicken machine learning Oron, opensource technology. After integration Milas opensource Oron software IBMs Watson Machine Learning Accelerator, IBM enhanced deployment stateoftheart algorithms, improved machine learning deep learning capabilities AI researchers data scientists. IBMs Spectrum Computing team based Canada Lab contributes substantially Orons code base. Oct2020: SAS entered partnership TMA Solutions, software outsourcing company based Vietnam. Under partnership, SAS TMA Solutions aimed fasten growth businesses Vietnam Artificial Intelligence AI Data Analytics. SAS TMA helped clients Vietnam quicken deployment growth advanced analytics look new methods propel innovation AI, especially fields Machine Learning, Computer Vision, Natural Language Processing NLP, technologies. Product Launches Product Expansions: May2022: Hewlett Packard launched HPE Swarm Learning new Machine Learning ML Development System, AI MLbased solutions. These new solutions increase accuracy models, solve AI infrastructure burdens, improve data privacy standards. The company declared new tool breakthrough AI solution focuses fasttracking insights edge, attributes ranging identifying card fraud diagnosing diseases. Apr2022: Hewlett Packard released Machine Learning Development System MLDS Swarm Learning, new machine learning solutions. The solutions focused simplifying burdens AI development development environment progressively consists large amounts protected data specialized hardware. The MLDS provides software services stack, including training platform HPE Machine Learning Development Environment, container management Docker, cluster management HPE Cluster Manager, Red Hat Enterprise Linux. May2021: Google released Vertex AI, novel managed machine learning platform enables developers easily deploy maintain AI models. Engineers use Vertex AI manage video, image, text, tabular datasets, develop machine learning pipelines train analyze models utilizing Google Cloud algorithms custom training code. After engineers install models online batch use cases scalable managed infrastructure. Mar2021: Microsoft released updates Azure Arc, service brought Azure products management multiple clouds, edge devices, data centers auditing, compliance, rolebased access. Microsoft Azure Arcenabled Kubernetes available. Azure Arcenabled Machine Learning Azure Arcenabled Kubernetes developed aid companies balance enjoying advantages cloud maintaining apps maintaining apps workloads onpremises regulatory operational reasons. The new services enable companies implement Kubernetes clusters create machine learning models data lives, handle applications models single dashboard. Jul2020: Hewlett Packard released HPE Ezmeral, new brand software portfolio developed assist enterprises quicken digital transformation organization, edge cloud. The HPE Ezmeral goes portfolio consisting container orchestration management, AIML, data analytics cost control, IT automation AIdriven operations, security. Acquisitions Mergers: Jun2021: Hewlett Packard completed acquisition Determined AI, San Franciscobased startup offers strong solid software stack train AI models faster, scale, utilizing opensource machine learning ML platform. Hewlett Packard integrated Determined AIs unique software solution worldleading AI highperformance computing HPC products empower ML engineers conveniently deploy train machine learning models offer faster precise analysis data industry. Scope Study Market Segments covered Report: By End User IT Telecom BFSI Manufacturing Retail Healthcare Energy Utilities Public Sector Aerospace Defense Others By Offering Services Only Solution Software Tools By Organization Size Large Enterprises Small Medium Enterprises By Application Marketing Advertising Fraud Detection Risk Management Computer vision Security Surveillance Predictive analytics Natural Language Processing Augmented Virtual Reality Others By Geography North America US Canada Mexico Rest North America Europe Germany UK France Russia Spain Italy Rest Europe Asia Pacific China Japan India South Korea Singapore Malaysia Rest Asia Pacific LAMEA Brazil Argentina UAE Saudi Arabia South Africa Nigeria Rest LAMEA Companies Profiled HewlettPackard Enterprise Company Oracle Corporation Google LLC Amazon Web Services, . , . IBM Corporation Microsoft Corporation Fair Isaac Corporation FICO SAS Institute, . Yottamine Analytics, LLC BigML Unique Offerings Exhaustive coverage Highest number market tables figures Subscription based model available Guaranteed best price Assured post sales research support 10 customization freeRead report: About ReportlinkerReportLinker awardwinning market research solution. Reportlinker finds organizes latest industry data market research need instantly, place. __________________________ Source link Related Tags market, BILLION, CAGR, expected, forecast, global, growth, learning, machine, period, reach, ReportLinker, Rising, service, size By Google News GoogleNews news aggregator platform. It presents continuous, customizable flow articles organized thousands publishers magazines. View Archive Does Andy Murray support Arsenal, Hibernian both? Football teams tennis star fan How use clashing colors explore bold palette ideas interior designers Leave Reply Cancel replyYou logged post comment. This site uses Akismet reduce spam. Learn comment data processed. UK US Canada Health Finance Science LifeStyle Showbiz Weird Travel World Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Follow GoogleNews Disclaimer Read latest worlds news stories. Discover popular trending news stories politics, entertainment, gaming, TV, lifestyle, science, celebrity tech. 2022 Newslanes Privacy Powered WordPress To Up
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Growth Opportunities in Artificial Intelligence, Analytics,
Post author
By Google News
Post date
December 2, 2022
No Comments on Growth Opportunities in Artificial Intelligence, Analytics,
DUBLIN–(BUSINESS WIRE)–The “Growth Opportunities in Artificial Intelligence, Analytics, Cloud, Data Management” report has been added to ResearchAndMarkets.com’s offering.
This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) provides a snapshot of the emerging ICT led innovations in Artificial Intelligence, Analytics, Cloud and Data Management. This issue focuses on the application of information and communication technologies in alleviating the challenges faced across industry sectors in areas such as retail, healthcare, BFSI, and manufacturing.
ITCC TOE’s mission is to investigate emerging wireless communication and computing technology areas including 3G, 4G, Wi-Fi, Bluetooth, Big Data, cloud computing, augmented reality, virtual reality, artificial intelligence, virtualization and the Internet of Things and their new applications; unearth new products and service offerings; highlight trends in the wireless networking, data management and computing spaces; provide updates on technology funding; evaluate intellectual property; follow technology transfer and solution deployment/integration; track development of standards and software; and report on legislative and policy issues and many more.
The Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets. These innovations have profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more. Our global teams of industry experts continuously monitor technology areas such as Big Data, cloud computing, communication services, mobile and wireless communication space, IT applications & services, network security, and unified communications markets. In addition, we also closely look at vertical markets and connected industries to provide a holistic view of the ICT Industry.
Key Topics Covered:
1. Innovations in Artificial Intelligence, Analytics, Cloud, Data Management
Natural-Language Understanding (Nlu) Solution to Analyze Complex Data
Cortical.Io Enables Efficient Meaning-Based Search, Extraction, and Classification
Cortical.Io – Investor Dashboard
Saas-Based Managed Kubernetes Platform for Private and Edge Clouds
Platform9 Enables Enterprises to Efficiently Build, Scale, and Operate Kubernetes Clusters
Platform9 – Investor Dashboard
AI-Driven Augmented Data Management Solution
Promethium’s Solution Enables Faster Data-Driven Business Outcomes
Promethium – Investor Dashboard
Unified Data Analytics Platform
Databricks’ Platform Helps Enterprises Build Digital Solutions More Rapidly and Efficiently
Databricks – Investor Dashboard
Self-Service Analytics Process Automation
Alteryx Automates the Discovery of Data Assets and Analytics Processes to Accelerate Business Outcomes
Alteryx – Investor Dashboard
Integratable Computer Systems for Autonomous Vehicles
Enables Safe and Efficient Driving for Commercial Vehicles and Heavy-Duty Vehicles
Aurora Innovation – Investor Dashboard
Offers a Machine Learning Platform to Provide Predictive Analytics
The Image Recognition and Data Labeling Tool is Easy to Integrate
Heartex – Investor Dashboard
Offers Sensors and Software for Asset Management
Offers Preventive Maintenance to Manufacturers
Tractian – Investor Dashboard
Offers Xr Spatial Web Platform
Users Can Discover Digital Content in the Vicinity Using Their Mobile Devices
Xrpanet – Investor Dashboard
Digital Twin of World That Overlays Digital Content Over the Physical World
3D Scanning Physical Environments for Hosting Augmented Reality
Sturfee – Investor Dashboard
Bidi Device Reduces Latency and Cost for Last Mile
Adva’s Value Proposition Eliminates Assymetric Delays with Zero Footprint
Adva – Investor Dashboard
Overlay Network Solution Simplifies Multi-Cloud
Avesha’s Value Proposition Provides Cni Agnostic Pd to Pod Communication
Avesha – Investor Dashboard
Assistive Robots Navigate Safely Indoors
Labrador Systems’ Value Proposition Allows Routes for Picking Up and Delivering Items Autonomously
Labrador Systems – Investor Dashboard
Data Processing to Improve Patient Outcomes
Zimmer Biomet’s Value Proposition Combines Real-Time Data and Ai to Provide Actionable Results
Zimmer Biomet – Investor Dashboard
2. Key Contacts
Companies Mentioned
Adva
Alteryx
Aurora Innovation
Avesha
Cortical.Io
Databricks
Heartex
Labrador Systems
Platform9
Promethium
Sturfee
Tractian
Xrpanet
Zimmer Biomet
For more information about this report visit https://www.researchandmarkets.com/r/xfmca6
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Growth Opportunities In Artificial Intelligence, Analytics, Skip content NewslanesThe News Hub Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment More Automotive Pets Tech Sports for: Close search Close Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment MoreShow sub menu Automotive Pets Tech Sports Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Categories Technology Growth Opportunities Artificial Intelligence, Analytics, Post author By Google News Post date December 2, 2022 No Comments Growth Opportunities Artificial Intelligence, Analytics, DUBLINBUSINESS WIREThe Growth Opportunities Artificial Intelligence, Analytics, Cloud, Data Management report added offering. This edition IT, Computing Communications ITCC Technology Opportunity Engine TOE provides snapshot emerging ICT led innovations Artificial Intelligence, Analytics, Cloud Data Management. This issue focuses application information communication technologies alleviating challenges faced industry sectors areas retail, healthcare, BFSI, manufacturing. ITCC TOEs mission investigate emerging wireless communication computing technology areas including 3G, 4G, WiFi, Bluetooth, Big Data, cloud computing, augmented reality, virtual reality, artificial intelligence, virtualization Internet Things new applications; unearth new products service offerings; highlight trends wireless networking, data management computing spaces; provide updates technology funding; evaluate intellectual property; follow technology transfer solution deploymentintegration; track development standards software; report legislative policy issues more. The Information Communication Technology cluster provides global industry analysis, technology competitive analysis, insights gamechanging technologies wireless communication computing space. Innovations ICT deeply permeated applications markets. These innovations profound impact range business functions computing, communications, business intelligence, data processing, information security, workflow automation, quality service QoS measurements, simulations, customer relationship management, knowledge management functions more. Our global teams industry experts continuously monitor technology areas Big Data, cloud computing, communication services, mobile wireless communication space, IT applications services, network security, unified communications markets. In addition, closely look vertical markets connected industries provide holistic view ICT Industry. Key Topics Covered: 1. Innovations Artificial Intelligence, Analytics, Cloud, Data Management NaturalLanguage Understanding Nlu Solution Analyze Complex Data Cortical.Io Enables Efficient MeaningBased , Extraction, Classification Cortical.Io Investor Dashboard SaasBased Managed Kubernetes Platform Private Edge Clouds Platform9 Enables Enterprises Efficiently Build, Scale, Operate Kubernetes Clusters Platform9 Investor Dashboard AIDriven Augmented Data Management Solution Promethiums Solution Enables Faster DataDriven Business Outcomes Promethium Investor Dashboard Unified Data Analytics Platform Databricks Platform Helps Enterprises Build Digital Solutions More Rapidly Efficiently Databricks Investor Dashboard SelfService Analytics Process Automation Alteryx Automates Discovery Data Assets Analytics Processes Accelerate Business Outcomes Alteryx Investor Dashboard Integratable Computer Systems Autonomous Vehicles Enables Safe Efficient Driving Commercial Vehicles HeavyDuty Vehicles Aurora Innovation Investor Dashboard Offers Machine Learning Platform Provide Predictive Analytics The Image Recognition Data Labeling Tool Easy Integrate Heartex Investor Dashboard Offers Sensors Software Asset Management Offers Preventive Maintenance Manufacturers Tractian Investor Dashboard Offers Xr Spatial Web Platform Users Can Discover Digital Content Vicinity Using Their Mobile Devices Xrpanet Investor Dashboard Digital Twin World That Overlays Digital Content Over Physical World 3D Scanning Physical Environments Hosting Augmented Reality Sturfee Investor Dashboard Bidi Device Reduces Latency Cost Last Mile Advas Value Proposition Eliminates Assymetric Delays Zero Footprint Adva Investor Dashboard Overlay Network Solution Simplifies MultiCloud Aveshas Value Proposition Provides Cni Agnostic Pd Pod Communication Avesha Investor Dashboard Assistive Robots Navigate Safely Indoors Labrador Systems Value Proposition Allows Routes Picking Up Delivering Items Autonomously Labrador Systems Investor Dashboard Data Processing Improve Patient Outcomes Zimmer Biomets Value Proposition Combines RealTime Data Ai Provide Actionable Results Zimmer Biomet Investor Dashboard 2. Key Companies Mentioned Adva Alteryx Aurora Innovation Avesha Cortical.Io Databricks Heartex Labrador Systems Platform9 Promethium Sturfee Tractian Xrpanet Zimmer Biomet For information report visit Source link Share this:TweetPrintTelegram Related Tags Analytics, Artificial, growth, intelligence, opportunities By Google News GoogleNews news aggregator platform. It presents continuous, customizable flow articles organized thousands publishers magazines. View Archive Ukrainian extennis star leaked row expros Russia Amazons poached Mike Flanagan Netflix exclusive TV Leave Reply Cancel replyYou logged post comment. This site uses Akismet reduce spam. Learn comment data processed. UK US Canada Health Finance Science LifeStyle Showbiz Weird Travel World Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Follow GoogleNews Disclaimer Read latest worlds news stories. 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| 2,022 |
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https://newslanes.com/2022/12/09/israeli-leaders-gear-up-for-future-of-food-through-ai-innovation/
| 2022-12-09T00:00:00 |
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Israeli Leaders Gear Up For Future Of Food Through AI Innovation
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Israeli Leaders Gear Up For Future Of Food Through AI Innovation
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Israeli leaders gear up for future of food through AI innovation
Post author
By Google News
Post date
December 9, 2022
No Comments on Israeli leaders gear up for future of food through AI innovation
06 Dec 2022 — As the food industry attempts to solve the modern problems of sustainable food production, leaders, manufacturers and scientists are turning toward an equally modern solution: AI. Within this field, Israel is proving to have an extremely vibrant start-up ecosystem.
Within that ecosystem are three exciting start-ups: Eggmented Reality, which is developing egg-alternatives from naturally-occuring proteins, Imagindairy, which is developing animal-free dairy proteins that have the same taste, texture, functionality, and nutritional benefits as their bovine counterparts, and Alteco.AI, which uses AI to manage the food industry’s energy usage. Eggmented and Alteco.AI are both start-ups within Fresh Start, a Foodtech incubator and leader in the argi-food tech cluster in Galilee.
With capabilities vastly beyond any human endeavor, AI is poised to become an essential tool to not only streamline the F&B sector, but reshape human livelihoods by freeing up the workforce.
FoodIngredientsFirst speaks with Dr. Eyal Afergan, co-founder and CEO of Imagindairy, Jon Rathauser, CEO and co-founder of protein Eggmented Reality and Alon Mashkovich, CEO of Alteco.AI, about the latest developments, ideas, and strategies in the Israeli AI space.
Israeli start-ups are increasingly turning to AI to solve issues of food production.Breaking the cost barrier Afergan at Imagindairy details his view of how AI technologies can secure sustainable food production, particularly for dairy-based products.
“The demand for protein is forecasted to be doubled by 2050, with the need to feed 10 billion people. The food industry must convert to more sustainable and efficient production methods to answer this need. AI-powered technologies can ensure the efficiency, quality and safety of food systems, which is much needed,” he explained.
Imagindairy develops animal-free dairy proteins, aiming to provide the same taste, texture, functionality and nutritional benefits as their bovine counterparts.
“Our core technology is based on AI models that amplify protein expression, making precision fermentation commercially viable to produce these proteins while tackling the biggest hurdle in this space: reaching cost-effectiveness,” says Afergan.
This commercial viability is the wall that has held back mass fermentation processes, although Afergan feels AI is the “force needed to break through this wall.”
He details that AI is an enabling technology that can push food production systems forward when applied wisely. Precision fermentation is a well-known process in the industry, yet AI is needed to pass the cost barrier currently present for edible proteins.
“We realized that we must solve the production cost issue to produce edible proteins in large quantities by precision fermentation. We found the solution in a lab at Tel Aviv University, where one of our co-founders, Prof. Tamir Tuller, is developing an innovative AI technology that enables high protein production by our protein-producing microorganisms. From this moment on, we had all the pieces of the puzzle,” concludes Afergan.
Imagination without limits AI could be a pathway to a “utopian vision” of food production and how Eggmented Reality is navigating that road, Rathauser underscores.
Eggmented Reality has developed a protein platformed that has leveraged bioinformatics to create their first product: an egg and methylcellulose-functional alternative.AI technology is capable of analysing and producing ingredients more efficiently than any human.
“The uniqueness of Eggmented’s technology platform is to ‘ask’ nature [utilizing bioinformatics] for the right non-genetically modified organism protein that would provide improved functionality, reduced allergenicity, increased stability to processing, and more,” he says.
Rathauser’s approach is less about solving existing problems and more about imagining a production process with no restraints, then leveraging AI to enable that vision.
“We’re having conversations with food manufacturers that force them to consider: What would you make if you didn’t have the constraints of today’s ingredients? What new product lines would you pursue, how could you tailor compositions, and who else can you reach with your product offerings?” he says.
Unlocking new livelihoodsUsing AI to solve the complex challenges of our food industry may also stand to create opportunities that didn’t previously exist, Rathauser stresses.
For Eggmented Reality, such progress will hopefully beget even further improvement.
“I prefer to think of technology in food as an enabler – such as, if we can free someone from the farm who would rather spend their waking hours as an artist, or if we can make certain food products available to more people if we neutralize an allergen,” says Rathauser.
He continues to detail that if we can unlock the creative potential of chefs or bakers, it may lead to new culinary experiences and greater nutritional health, and ultimately solve the challenges of feeding more people healthy food without destroying our environment.
“Technology alone will not solve all these challenges, but it is indispensable if we wish to have the chance.”
Such a future may be far away, but Rathauser is keen to point out developments in the present.
“As technology has made it possible to analyze the entirety of an entity’s financial records instead of only sampling and spot-checking, so will we see these benefits in food safety. We can more quickly, less expensively, and comprehensively assess food for consumption and reduce the risk of contamination that used to be commonplace,” explains Rathauser.
“As in other disciplines, I don’t see this trend going backward.”
AI also has the potential of providing new livelihoods.Whereas many leaders tout the potential of AI, others warn of its dangers, such as presenting new hacking vulnerabilities.
Despite such warnings, large scale ingredient specialists such as ICL and Protera biosciences have made moves to integrate AI-based solutions fully.
Lowering energy prices During a historic time of global inflation and supply cutbacks, Mashkovich tells us about how AI can unshackle the food industry from rising energy prices.
“The food industry is well known for its high consumption of energy. We are developing a unique technology capable of identifying the machinery connected to a single metering point without any additional hardware installed.”
He continues to argue that AI and deep learning is the only way to analyze a dynamic list of power quality parameters.
“The producer’s pricing model needs to consider electricity bills as part of the production line, as they cannot tell how much energy is consumed for the whole process. AI is crucial in the food industry to take energy consumed into account while calculating the total cost of the product.”
Rathauser summarizes the broad sentiment of AI leaders in Israel, saying that “food production encompasses many components, which will take a long time to digitize and automate – should we decide that that’s our goal as a society.”
By James Davies
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Israeli Leaders Gear Up For Future Of Food Through AI Innovation
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Israeli Leaders Gear Up For Future Of Food Through AI Innovation Skip content NewslanesThe News Hub Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment More Automotive Pets Tech Sports for: Close search Close Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment MoreShow sub menu Automotive Pets Tech Sports Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Categories Technology Israeli leaders gear future food AI innovation Post author By Google News Post date December 9, 2022 No Comments Israeli leaders gear future food AI innovation 06 Dec 2022 As food industry attempts solve modern problems sustainable food production, leaders, manufacturers scientists turning equally modern solution: AI. Within field, Israel proving extremely vibrant startup ecosystem. Within ecosystem exciting startups: Eggmented Reality, developing eggalternatives naturallyoccuring proteins, Imagindairy, developing animalfree dairy proteins taste, texture, functionality, nutritional benefits bovine counterparts, Alteco.AI, uses AI manage food industrys energy usage. Eggmented Alteco.AI startups Fresh Start, Foodtech incubator leader argifood tech cluster Galilee. With capabilities vastly human endeavor, AI poised essential tool streamline FB sector, reshape human livelihoods freeing workforce. FoodIngredientsFirst speaks Dr. Eyal Afergan, cofounder CEO Imagindairy, Jon Rathauser, CEO cofounder protein Eggmented Reality Alon Mashkovich, CEO Alteco.AI, latest developments, ideas, strategies Israeli AI space. Israeli startups increasingly turning AI solve issues food production.Breaking cost barrierAfergan Imagindairy details view AI technologies secure sustainable food production, particularly dairybased products. The demand protein forecasted doubled 2050, need feed 10 billion people. The food industry convert sustainable efficient production methods answer need. AIpowered technologies ensure efficiency, quality safety food systems, needed, explained. Imagindairy develops animalfree dairy proteins, aiming provide taste, texture, functionality nutritional benefits bovine counterparts. Our core technology based AI models amplify protein expression, making precision fermentation commercially viable produce proteins tackling biggest hurdle space: reaching costeffectiveness, says Afergan. This commercial viability wall held mass fermentation processes, Afergan feels AI force needed break wall. He details AI enabling technology push food production systems forward applied wisely. Precision fermentation wellknown process industry, AI needed pass cost barrier currently present edible proteins. We realized solve production cost issue produce edible proteins large quantities precision fermentation. We solution lab Tel Aviv University, cofounders, Prof. Tamir Tuller, developing innovative AI technology enables high protein production proteinproducing microorganisms. From moment on, pieces puzzle, concludes Afergan. Imagination limitsAI pathway utopian vision food production Eggmented Reality navigating road, Rathauser underscores. Eggmented Reality developed protein platformed leveraged bioinformatics create product: egg methylcellulosefunctional alternative.AI technology capable analysing producing ingredients efficiently human. The uniqueness Eggmenteds technology platform ask nature [utilizing bioinformatics] right nongenetically modified organism protein provide improved functionality, reduced allergenicity, increased stability processing, more, says. Rathausers approach solving existing problems imagining production process restraints, leveraging AI enable vision. Were conversations food manufacturers force consider: What didnt constraints todays ingredients? What new product lines pursue, tailor compositions, reach product offerings? says. Unlocking new livelihoodsUsing AI solve complex challenges food industry stand create opportunities didnt previously exist, Rathauser stresses. For Eggmented Reality, progress hopefully beget improvement. I prefer think technology food enabler as, free farm spend waking hours artist, certain food products available people neutralize allergen, says Rathauser. He continues unlock creative potential chefs bakers, lead new culinary experiences greater nutritional health, ultimately solve challenges feeding people healthy food destroying environment. Technology solve challenges, indispensable wish chance. Such future far away, Rathauser keen point developments present. As technology possible analyze entirety entitys financial records instead sampling spotchecking, benefits food safety. We quickly, expensively, comprehensively assess food consumption reduce risk contamination commonplace, explains Rathauser. As disciplines, I dont trend going backward. AI potential providing new livelihoods.Whereas leaders tout potential AI, warn dangers, presenting new hacking vulnerabilities. Despite warnings, large scale ingredient specialists ICL Protera biosciences moves integrate AIbased solutions fully. Lowering energy pricesDuring historic time global inflation supply cutbacks, Mashkovich tells AI unshackle food industry rising energy prices. The food industry known high consumption energy. We developing unique technology capable identifying machinery connected single metering point additional hardware installed. He continues argue AI deep learning way analyze dynamic list power quality parameters. The producers pricing model needs consider electricity bills production line, tell energy consumed process. AI crucial food industry energy consumed account calculating total cost product. Rathauser summarizes broad sentiment AI leaders Israel, saying food production encompasses components, long time digitize automate decide thats goal society. By James Davies To contact editorial team email editorial If article valuable, wish receive newsletters. receive latest news directly inbox. Source link Share this:TweetPrintTelegram Related Tags analysis insights food ingredients sector. Key topics focus include business news, FoodIngredientsFirst source news, ingredient launches, research development ingredient applications. Content boosted video interviews support Innova Market Insights The World Food Ingredients. By Google News GoogleNews news aggregator platform. It presents continuous, customizable flow articles organized thousands publishers magazines. View Archive 10 Best Football Movies Streaming Right Now, Ranked Ukraine live briefing: Putin vows continue strikes civilian Leave Reply Cancel replyYou logged post comment. This site uses Akismet reduce spam. Learn comment data processed. UK US Canada Health Finance Science LifeStyle Showbiz Weird Travel World Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Follow GoogleNews Disclaimer Read latest worlds news stories. Discover popular trending news stories politics, entertainment, gaming, TV, lifestyle, science, celebrity tech. About Uss PolicyDisclaimerDMCADo Not Sell My InfoPrivacyTerms 2022 Newslanes Privacy Powered WordPress To Up
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https://newslanes.com/2022/12/19/telcos-divided-over-artificial-intelligence-big-data-benefits/
| 2022-12-19T00:00:00 |
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Telcos Divided Over Artificial Intelligence, Big Data Benefits
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Telcos divided over artificial intelligence, Big Data benefits
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By Google News
Post date
December 19, 2022
No Comments on Telcos divided over artificial intelligence, Big Data benefits
India’s top telcos have divergent views again-this time over whether deployment of artificial intelligence (AI) and Big Data technologies can improve the overall quality of telecom services (QoS), traffic and spectrum management.
In its submission to the Telecom Regulatory Authority of India (Trai), Reliance Jio said there are vast opportunities for deploying AI to improve network performance, overall QoS, spectrum management, security and customer services in telecom. In their submissions, Bharti Airtel and Vodafone Idea (Vi), though, said it’s too early to even predict if AI and Big Data can drive internal efficiency and lead to optimisation of networks as both technologies remain nascent.
Operators have also taken conflicting positions on the need to create common AI terminology standards before leveraging the new age technology in the telecom industry.
“AI, with advanced analytics, plays a significant role globally in reducing network capex and poor QoE (quality of experience) for VoLTE subscribers; it also predicts hardware failures prior to customer impact and its adoption has improved network reliability and customer experience, even optimised cost of operations,” Jio said in its submission.
Airtel, though, said that while it uses AI tools for network planning to discover rural locations for new site development and satellite image analysis, it’s too early to conclude if AI or Big Data can solve problems or optimise situations for telcos. “Systems evolve over a period of time and then stabilise, and only then can one think of them as standard operating procedure, but we are still very far off from that when it comes to AI and Big Data technologies that are still so nascent,” Airtel said in its submission, a view backed by Vi.
Separately, Jio urged Trai to back development of uniform, responsible and trustworthy AI terms/definitions by a non-statutory, expert multi-stakeholder body (MSB). It believes such a regulatory approach will pave the way for a responsible AI environment that will instil trust among users in India.
Airtel and Vi rejected the suggestion, saying any such regulatory intervention would only stifle the country’s IT capabilities and development of innovative AI technologies.
“There’s a need to balance ethical considerations of AI with need for innovation, which can be achieved through evolution of a responsible AI environment driven by principles that should be developed by a non-statutory expert MSB having varied representation,” Jio said.
Airtel countered, saying Trai’s focus must be on ways to leverage AI in telecom rather than defining them and limiting their scope. “There is absolutely no need to standardise AI terminologies as it won’t lead to any beneficial output, given the nascent stage of AI development in India,” the Sunil Mittal-led telco said in its submission to Trai. It added that IT capabilities and technologies work best in absence of regulatory intervention. Vi backed Airtel’s views, saying there must be a clear objective/outcome for standardisation and as of now, there is no requirement.
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Telcos Divided Over Artificial Intelligence, Big Data Benefits
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Telcos Divided Over Artificial Intelligence, Big Data Benefits Skip content NewslanesThe News Hub Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment More Automotive Pets Tech Sports for: Close search Close Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment MoreShow sub menu Automotive Pets Tech Sports Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Categories Technology Telcos divided artificial intelligence, Big Data benefits Post author By Google News Post date December 19, 2022 No Comments Telcos divided artificial intelligence, Big Data benefits Indias telcos divergent views againthis time deployment artificial intelligence AI Big Data technologies improve overall quality telecom services QoS, traffic spectrum management. In submission Telecom Regulatory Authority India Trai, Reliance Jio said vast opportunities deploying AI improve network performance, overall QoS, spectrum management, security customer services telecom. In submissions, Bharti Airtel Vodafone Idea Vi, though, said early predict AI Big Data drive internal efficiency lead optimisation networks technologies remain nascent. Operators taken conflicting positions need create common AI terminology standards leveraging new age technology telecom industry. AI, advanced analytics, plays significant role globally reducing network capex poor QoE quality experience VoLTE subscribers; predicts hardware failures prior customer impact adoption improved network reliability customer experience, optimised cost operations, Jio said submission. Airtel, though, said uses AI tools network planning discover rural locations new site development satellite image analysis, early conclude AI Big Data solve problems optimise situations telcos. Systems evolve period time stabilise, think standard operating procedure, far comes AI Big Data technologies nascent, Airtel said submission, view backed Vi. Separately, Jio urged Trai development uniform, responsible trustworthy AI termsdefinitions nonstatutory, expert multistakeholder body MSB. It believes regulatory approach pave way responsible AI environment instil trust users India. Airtel Vi rejected suggestion, saying regulatory intervention stifle countrys IT capabilities development innovative AI technologies. Theres need balance ethical considerations AI need innovation, achieved evolution responsible AI environment driven principles developed nonstatutory expert MSB varied representation, Jio said. Airtel countered, saying Trais focus ways leverage AI telecom defining limiting scope. There absolutely need standardise AI terminologies wont lead beneficial output, given nascent stage AI development India, Sunil Mittalled telco said submission Trai. It added IT capabilities technologies work best absence regulatory intervention. Vi backed Airtels views, saying clear objectiveoutcome standardisation now, requirement. Source link Share this:TweetPrintTelegram Related Tags Big, Airtel, Artificial, Artificial Intelligence, benefits, Bharti Airtel, Big Data, data, divided, intelligence, jio, reliance, telcos, Vodafone Idea By Google News GoogleNews news aggregator platform. It presents continuous, customizable flow articles organized thousands publishers magazines. View Archive No Significant Differences LongTerm VA Seen Between ERF, French Court Levies Fine Against Apple Abusive App Store Leave Reply Cancel replyYou logged post comment. This site uses Akismet reduce spam. Learn comment data processed. UK US Canada Health Finance Science LifeStyle Showbiz Weird Travel World Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Follow GoogleNews Disclaimer Read latest worlds news stories. Discover popular trending news stories politics, entertainment, gaming, TV, lifestyle, science, celebrity tech. About Uss PolicyDisclaimerDMCADo Not Sell My InfoPrivacyTerms 2022 Newslanes Privacy Powered WordPress To Up
| 2,022 |
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https://newslanes.com/2022/12/21/a-machine-learning-approach-to-analyse-ozone-concentration-in/
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A Machine Learning Approach To Analyse Ozone Concentration In
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A Machine Learning Approach To Analyse Ozone Concentration In
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A Machine Learning Approach To Analyse Ozone Concentration In Skip content NewslanesThe News Hub Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment More Automotive Pets Tech Sports for: Close search Close Menu PR Business Crypto Covid19 Celebrities Gaming Entertainment MoreShow sub menu Automotive Pets Tech Sports Facebook Page Twitter Username Instagram Linkedin YouTube Pinterest Categories Technology A machine learning approach analyse ozone concentration Post author By Google News Post date December 21, 2022 No Comments A machine learning approach analyse ozone concentration De Marco, A. et al. Impacts air pollution human ecosystem health, implications national emission ceilings directive: Insights Italy. Environ. Int. 125, 320333 2019. Article Google Scholar Ordez, C., GarridoPerez, J. M. GarcaHerrera, R. Early spring nearsurface ozone Europe covid19 shutdown: Meteorological effects outweigh emission changes. Sci. Total Environ. 747, 141322 2020. Article ADS Google Scholar Odman, M. T. et al. Quantifying sources ozone, fine particulate matter, regional haze southeastern united states. J. Environ. Manag. 90, 31553168 2009. Article CAS Google Scholar Das, S. et al. Trends summertime tropospheric ozone covid19 lockdown Indian cities forecast higher future risk. Atmosphere 13, 1115 2022. Article ADS CAS Google Scholar Von der Gathen, P., Kivi, R., Wohltmann, I., Salawitch, R. J. Rex, M. Climate change favours large seasonal loss arctic ozone. Nat. Commun. 12, 117 2021. Google Scholar Jaffe, D. A. et al. Scientific assessment background ozone US: Implications air quality management. Elem. Sci. Anthropocene 6, 56 2018. Article Google Scholar Lu, H., Lyu, X., Cheng, H., Ling, Z. Guo, H. Overview spatialtemporal characteristics ozone formation regime China. Environ. Sci. Process. Impacts 21, 916929 2019. Article CAS Google Scholar Wang, N. et al. Typhoonboosted biogenic emission aggravates crossregional ozone pollution China. Sci. Adv. 8, eabl6166 2022. Article ADS CAS Google Scholar Fry, M. M. et al. The influence ozone precursor emissions world regions tropospheric composition radiative climate forcing. J. Geophys. Res. Atmos. 117, D7 2012. Article Google Scholar Jakovlev, A. Smyshlyaev, S. Numerical simulation world ocean effects temperature ozone lower middle atmosphere. Russ. Meteorol. Hydrol. 44, 594602 2019. Article Google Scholar Lu, X., Zhang, L. Shen, L. Meteorology climate influences tropospheric ozone: A review natural sources, chemistry, transport patterns. Curr. Pollut. Rep. 5, 238260 2019. Article CAS Google Scholar Green, J. Snchez, S. . La. calidad del Aire en Amrica Latina: Una Visin Panormica Clean Air Institute, Washington, DC, 2013. Google Scholar RiojasRodrguez, H., da Silva, A. S., TexcalacSangrador, J. L. MorenoBanda, G. L. Air pollution management control Latin America Caribbean: Implications climate change. Rev. Panam. Salud Pbl. 40, 150159 2016. Google Scholar INEI. 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] | 1 | 5,064 |
https://newsone.tv/meta-announces-plans-to-build-a-universal-voice-translator-using-ai/
| 2022-02-25T00:00:00 |
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Meta announces plans to build a universal voice translator using AI - NewsOne
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Meta announces plans to build a universal voice translator using AI - NewsOne
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Meta announces plans to build a universal voice translator using AI
25 Feb 2022
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Meta, the owner of Facebook, Instagram and WhatsApp, has announced an ambitious new AI research project to create translation software that works for “everyone in the world.”
Meta CEO Mark Zuckerberg in an online presentation said that the ability to communicate with anyone in any language is a superpower that is dreamt of forever.
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Meta announces plans to build a universal voice translator using AI
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Meta announces plans build universal voice translator AI NewsOne Toggle navigation Latest News Pakistan World Sports Business Entertainment Lifestyle Blogs Opinions Technology Viral Videos Urdu Meta announces plans build universal voice translator AI 25 Feb 2022 11 Views Meta, owner Facebook, Instagram WhatsApp, announced ambitious new AI research project create translation software works world. Meta CEO Mark Zuckerberg online presentation said ability communicate language superpower dreamt forever. Read story Tags: Facebook, Whatsapp, Instagram, Meta CEO More Stories Meta announces plans build universal voice translator AI Never miss group NSMCWG holds meeting Meta discuss digital transformation efforts Over 45,000 marine species atrisk global warming Instagram introduces likes Insta Stories Aussie scientists hoping Covid19 nasal spray breakthrough Envoy Yerzhan Kistafin presents Kazakhstan national award Prof. Dr. M. Iqbal Choudhary promotion science Dr. Fahad Shah wins Young Researcher Award 2021 for: Trending Stories PSL7, 2nd eliminator: Islamabad United face Lahore Qalandars Meta announces plans build universal voice translator AI UkraineRussia latest updates: Russian troops advance Kyiv Ukrainian leade... Govt focusing expanding trade relations Russia : Abdul Razak Dawood Coronavirus claims 25 lives country PM invites Russian businessmen invest diverse sectors Pakistan Top 5 Blogs 1 Violence home based workers impact COVID19: HomeNet organizes launch cross country study 2 CULTURAL NORMS AND PAKISTAN 3 PNS TUGHRIL: A Force Multiplier 4 PAKISTAN NAVY MODERNIZING ITS FLEET 5 Manto The Writer, The Recluse, The Achiver, Choice 6 A LEAF FROM HISTORY: REVISITING THE ACCOMPLISHMENTS OF PNS HANGOR 7 HANGOR Day IndoPak War sea 1971 Editors Choice 2020 Delhi riots, 1991 mass rapes Kashmiri women scar worlds conscien... SUZUKI SWIFT 2022 MAKES WAY Hijabwearing Indian woman lauded standing farright Hindu mob A Woman Was Publicly Whipped 100 Times Adultery. The Man? 15 Strokes. 80yearold woman subjected rape Punjabs Kamalia Rep. Marjorie Taylor Greene Impeach Biden Headlines 12PM Headline 6thAug2021 3PM Headline 5thAug2021 12PM Headline 5thAug2021 3PM Headline 4thAug2021 12PM Headline 2ndAug2021 2018. . Designed Developed Newsone
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https://newsparent.com/global-artificial-intelligence-ai-in-agriculture-market-2020-development-factors-increasing-demand-current-trend-key-business-strategies-and-forecast-2025/
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Global Artificial Intelligence (AI) in Agriculture Market 2020: Development Factors, Increasing Demand, Current Trend, Key Business Strategies and Forecast 2025 – News Parent
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Global Artificial Intelligence (AI) in Agriculture Market 2020: Development Factors, Increasing Demand, Current Trend, Key Business Strategies and Forecast 2025 – News Parent
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Market ReportsGlobal Artificial Intelligence (AI) in Agriculture Market 2020: Development Factors, Increasing Demand, Current Trend, Key Business Strategies and Forecast 2025
March 3, 2020March 3, 2020 - by anita - Leave a Comment
Market Research Report provides information on Products, Services, Trends, Top Companies, Verticals, Countries, Technology, Application, and Geography globally. This report will help the viewer in Better Decision Making ,offers by OrbisResearch.com
The research report on Global Artificial Intelligence (AI) in Agriculture Market offers a detailed analysis of market features and a comprehensive study of market trends that are influencing the growth of the Global Artificial Intelligence (AI) in Agriculture Market. In addition, this report covers significant details about the market size, profit estimations, and market share to provide an accurate prediction about the Global Artificial Intelligence (AI) in Agriculture Market. Furthermore, the Global Artificial Intelligence (AI) in Agriculture Market report offers a precise competitive analysis focusing growth strategies implemented by the service providers. The Global Artificial Intelligence (AI) in Agriculture Market report also studies valuable source of significant data for market growth strategies. Additionally, the report offers historical as well as futuristic revenue, cost, supply data, demand, distributor, and value chain analysis. This report comprises complete information which improves the scope, understanding, and application of the Global Artificial Intelligence (AI) in Agriculture Market report.
Request Sample Report @ https://www.orbisresearch.com/contacts/request-sample/4195692?utm_source=Ancy
This report covers following key players:
IBM
Granular
Intel
SAP
Agribotix
Microsoft
aWhere
The Climate Corporation
Precision Hawk
Taranis
CropX
Gamaya
John Deere
Prospera Technologies
Vision Robotics
Resson
Harvest Croo Robotics
DTN
Cainthus
Moreover, the Global Artificial Intelligence (AI) in Agriculture Market report majorly focuses on the market and its development potentials over the forecast period. A professional and exhaustive outlook of the globe Global Artificial Intelligence (AI) in Agriculture Market study report has been designed by market analysts and offered in the well manner. In addition to this, the Global Artificial Intelligence (AI) in Agriculture Market research report delivers the fundamental information about the global market along with the industry-based analytical methodologies. Likewise, the Global Artificial Intelligence (AI) in Agriculture Market report also contains a complete data about the market vertical in question and offers a broad analysis of the market segmentations. The research report comprises a workable estimations of the current market outlook with the market size in terms of value and volume. Moreover, the Global Artificial Intelligence (AI) in Agriculture Market report offers all the major data regarding the competitive landscape of the industry vertical as well as the number of different regions where the market has successfully gained its revenue. The report provides a detailed overview of the market segmentation along with all the sub segments.
Access Complete Report @ https://www.orbisresearch.com/reports/index/global-artificial-intelligence-ai-in-agriculture-market-growth-status-and-outlook-2020-2025?utm_source=Ancy
Segmentation by product type:
Machine Learning
Computer Vision
Predictive Analytics
Segmentation by application:
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
In addition, the Global Artificial Intelligence (AI) in Agriculture Market report delivers a complete analysis of the market comprising both quantitative and qualitative data. It offers a brief description and forecast of the Global Artificial Intelligence (AI) in Agriculture Market on the basis of number of segments. This report also provides market forecast and market size from the given prediction period with respect to the major regions such as Europe, North America, Asia Pacific, MEA, and others. Likewise, the Global Artificial Intelligence (AI) in Agriculture Market research report offers a detailed description about every region along with their segments. Moreover, the report also covers the forecast and analysis of several countries across the globe with the current opportunities and trends prevailing across the region. In addition to this, the Global Artificial Intelligence (AI) in Agriculture Market report extensively analyzes several factors which are affecting the Global Artificial Intelligence (AI) in Agriculture Market from both supply and demand side that further assesses the Global Artificial Intelligence (AI) in Agriculture Market dynamics over the forecast period. Furthermore, the Global Artificial Intelligence (AI) in Agriculture Market report offers a complete study about the market drivers, opportunities, restraining factors, and future trends. This report also contains exhaustive SWOT and PEST analysis for all the mentioned regions. The report focuses on the major service providers and their pricing strategies implemented to gain the market existence. In addition, the Global Artificial Intelligence (AI) in Agriculture Market report includes the social, political, technological, and economic factors that are impacting the Global Artificial Intelligence (AI) in Agriculture Market growth.
Enquiry Before Buying @ https://www.orbisresearch.com/contacts/enquiry-before-buying/4195692?utm_source=Ancy
Some TOC Points:
1 Scope of the Report
2 Executive Summary
3 Global Artificial Intelligence (AI) in Agriculture by Company
4 Artificial Intelligence (AI) in Agriculture by Regions
…Continued
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Global Artificial Intelligence (AI) in Agriculture Market 2020: Development Factors, Increasing Demand, Current Trend, Key Business Strategies and Forecast 2025
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Global Artificial Intelligence AI Agriculture Market 2020: Development Factors, reasing Demand, Current Trend, Key Business Strategies Forecast 2025 News Parent Skip content Top Menu March 3, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Market ReportsGlobal Artificial Intelligence AI Agriculture Market 2020: Development Factors, reasing Demand, Current Trend, Key Business Strategies Forecast 2025 March 3, 2020March 3, 2020 anita Leave Comment Market Research Report provides information Products, Services, Trends, Top Companies, Verticals, Countries, Technology, Application, Geography globally. This report help viewer Better Decision Making ,offers The research report Global Artificial Intelligence AI Agriculture Market offers detailed analysis market features comprehensive study market trends influencing growth Global Artificial Intelligence AI Agriculture Market. In addition, report covers significant details market size, profit estimations, market share provide accurate prediction Global Artificial Intelligence AI Agriculture Market. Furthermore, Global Artificial Intelligence AI Agriculture Market report offers precise competitive analysis focusing growth strategies implemented service providers. The Global Artificial Intelligence AI Agriculture Market report studies valuable source significant data market growth strategies. Additionally, report offers historical futuristic revenue, cost, supply data, demand, distributor, value chain analysis. This report comprises complete information improves scope, understanding, application Global Artificial Intelligence AI Agriculture Market report. Request Sample Report @ This report covers following key players: IBM Granular Intel SAP Agribotix Microsoft aWhere The Climate Corporation Precision Hawk Taranis CropX Gamaya John Deere Prospera Technologies Vision Robotics Resson Harvest Croo Robotics DTN Cainthus Moreover, Global Artificial Intelligence AI Agriculture Market report majorly focuses market development potentials forecast period. A professional exhaustive outlook globe Global Artificial Intelligence AI Agriculture Market study report designed market analysts offered manner. In addition this, Global Artificial Intelligence AI Agriculture Market research report delivers fundamental information global market industrybased analytical methodologies. Likewise, Global Artificial Intelligence AI Agriculture Market report contains complete data market vertical question offers broad analysis market segmentations. The research report comprises workable estimations current market outlook market size terms value volume. Moreover, Global Artificial Intelligence AI Agriculture Market report offers major data competitive landscape industry vertical number different regions market successfully gained revenue. The report provides detailed overview market segmentation sub segments. Access Complete Report @ Segmentation product type: Machine Learning Computer Vision Predictive Analytics Segmentation application: Precision Farming Livestock Monitoring Drone Analytics Agriculture Robots Others In addition, Global Artificial Intelligence AI Agriculture Market report delivers complete analysis market comprising quantitative qualitative data. It offers brief description forecast Global Artificial Intelligence AI Agriculture Market basis number segments. This report provides market forecast market size given prediction period respect major regions Europe, North America, Asia Pacific, MEA, others. Likewise, Global Artificial Intelligence AI Agriculture Market research report offers detailed description region segments. Moreover, report covers forecast analysis countries globe current opportunities trends prevailing region. In addition this, Global Artificial Intelligence AI Agriculture Market report extensively analyzes factors affecting Global Artificial Intelligence AI Agriculture Market supply demand assesses Global Artificial Intelligence AI Agriculture Market dynamics forecast period. Furthermore, Global Artificial Intelligence AI Agriculture Market report offers complete study market drivers, opportunities, restraining factors, future trends. This report contains exhaustive SWOT PEST analysis mentioned regions. The report focuses major service providers pricing strategies implemented gain market existence. In addition, Global Artificial Intelligence AI Agriculture Market report includes social, political, technological, economic factors impacting Global Artificial Intelligence AI Agriculture Market growth. Enquiry Before Buying @ Some TOC Points: 1 Scope Report 2 Executive Summary 3 Global Artificial Intelligence AI Agriculture Company 4 Artificial Intelligence AI Agriculture Regions Continued : 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 Related Posts High Temperature Optical Fiber Market 2020Leading Key Players Involved March 3, 2020 Semiconductor Equipments Market To Observe exponential Growth By 20202027 Market Expertz March 3, 2020 Global GyroStabilized Turret Market Development, Forecasts, Research, Analysis And Revenue Status 20202026 March 3, 2020 Post navigation Previous Article Climbing Specialized Clothing Market Likely Grow Healthy CagrNext Article Global IT Service Management ITSM Software Market 2020 Growing Technology Development, New Innovations, Competitive Analysis Forecast 2025 About anita View posts anita Leave Reply Cancel replyYour email address published. 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https://newstalkcleveland.com/3264285/the-intersection-of-ai-and-anti-blackness-unraveling-the-complex-problem/
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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
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Shannon Dawson
Published on
July 19, 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.
The Intersection Of AI And Anti-Blackness: Unraveling The Complex Problem
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The Complex Intersection Of AI And AntiBlackness Menu Home Entertainment 216 216 News Media Photos Connect Advertise With Us Mobile App Newsletter Facebook Twitter On Air Schedule Listen Live Toggle search News The Intersection Of AI And AntiBlackness: Unraveling The Complex Problem Written Shannon Dawson Published July 19, 2023 Share Share post Share link Or copy link Copy Copied LISTEN LIVE. LIKE US ON FACEBOOK.FOLLOW US ON TWITTER. News Talk Cleveland 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. The Intersection Of AI And AntiBlackness: Unraveling The Complex Problem originally published More WEREAM 1490 Rihanna Reportedly Goes Into Labor Baby No. 2 [LISTEN] Did You See These Unusual Lights Over Cleveland Monday Night? 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https://nextbigwhat.com/elevate-your-yt-content-with-ai-generated-shorts-2short-ai/
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Elevate YT content AI generated shorts: 2short.ai heart startups Menu Submit Product Stories Submit story press release Submit Product Elevate YT content AI generated shorts: 2short.ai Elevate YT content AI generated shorts Easily extract best moments videos turn performing shorts drive views subscribers. It saves editing time letting AI extract best moments videos, spend time love. 0 0 0 Share 0 Tweet 0 Share 0 Get April 26, 2023 Tom More products Find interesting fun places visit: Where To AI AI Rating YouTube Thumbnails: ThumbnailAi Elevate YT content AI generated shorts: 2short.ai Get latest products Inbox newsletter Newsletter Email address: Leave field youre human: PrevPreviousThe Next Step Forward Generative AI: Gen2 Runway NextAI Rating YouTube Thumbnails: ThumbnailAiNext
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https://nltimes.nl/2023/08/10/world-breakthrough-radboudumc-ai-model-can-diagnose-syndromes-scanning-kids-faces
| 2023-08-10T00:00:00 |
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World breakthrough: Radboudumc AI model can diagnose syndromes by scanning kids' faces | NL Times
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World breakthrough: Radboudumc AI model can diagnose syndromes by scanning kids' faces | NL Times
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World breakthrough: Radboudumc AI model can diagnose syndromes by scanning kids' faces
Researchers at Radboud University Medical Center have developed an AI model that can diagnose developmental disorders and syndromes caused by genetic abnormalities by simply scanning children’s faces. This could lead to quick clarity for families on syndromes that would typically take years to diagnose, AD reports.
“We gave the computer the task: recognize these syndromes using the face and medical record of a group of children with forty different syndromes. That went amazingly well,” Lex Dingemans, who is involved in the project as a Ph.D. student, told the newspaper. The artificial intelligence model correctly recognized 37 of the 40 syndromes. The self-learning algorithm also helps to connect syndromes with specific genetic abnormalities.
The invention makes the world smaller because the model can connect a child from Adelaide in Australia with a Rotterdam kid with similar abnormalities. “New syndromes are still emerging, and sometimes only a few dozen cases are known worldwide,” research leader and clinical geneticist Bert De Vries said. Parents often live in uncertainty for a long time. The new invention brings a faster diagnosis closer. “This can be a huge relief for parents.”
“Everyone is capable of recognizing children with Down syndrome. They look more like each other than their brothers or sisters. But there are countless other rare disorders that are much less common,” De Vries said. Diagnosing these syndromes often takes years.
Syndromes caused by genetic abnormalities don’t only result in children having mild to moderate intellectual disabilities, but each syndrome often also has specific physical health problems related to them. Once there is a diagnosis, families and doctors can know what to look out for and how to treat the child most efficiently.
“Once you know for sure that a child has a certain syndrome and that heart or kidney problems occur more often, you are more alert to this. And if epilepsy is common in a certain syndrome, you try to treat those seizures sooner after the diagnosis,” De Vries said.
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World breakthrough: Radboudumc AI model diagnose syndromes scanning kids faces NL Times Skip main content Toggle navigation Main navigation Top stories Health Crime Politics Business Tech Culture Sports Weird 112 Image Archive photo main entrance Radboud University Nijmegen Medical Centre Nijmegen, Netherlands 2009 Credit: Radboud University Nijmegen Medical Centre Wikimedia Commons License: CCBYSA Health Radboudumc AI genetic mutation developmental disorder Lex Dingemans Bert Vries More tags Less tags Thursday, 10 August 2023 09:16 Share this: facebook twitter linkedin whatsapp reddit World breakthrough: Radboudumc AI model diagnose syndromes scanning kids faces Researchers Radboud University Medical Center developed AI model diagnose developmental disorders syndromes caused genetic abnormalities simply scanning childrens faces. This lead quick clarity families syndromes typically years diagnose, AD reports. We gave task: recognize syndromes face medical record group children different syndromes. That went amazingly well, Lex Dingemans, involved project Ph.D. student, told newspaper. The artificial intelligence model correctly recognized 37 40 syndromes. The selflearning algorithm helps connect syndromes specific genetic abnormalities. The invention makes world smaller model connect child Adelaide Australia Rotterdam kid similar abnormalities. New syndromes emerging, dozen cases known worldwide, research leader clinical geneticist Bert De Vries said. Parents live uncertainty long time. The new invention brings faster diagnosis closer. This huge relief parents. Everyone capable recognizing children Down syndrome. They look like brothers sisters. But countless rare disorders common, De Vries said. Diagnosing syndromes takes years. Syndromes caused genetic abnormalities dont result children mild moderate intellectual disabilities, syndrome specific physical health problems related them. Once diagnosis, families doctors know look treat child efficiently. Once know sure child certain syndrome heart kidney problems occur often, alert this. And epilepsy common certain syndrome, try treat seizures sooner diagnosis, De Vries said. Follow us: Latest stories Extreme heat south Europe good Dutch tourism: TUI Over 6,400 people caught driving license, fake license plates Rabobank reports skyrocketing profits thanks higher rates World breakthrough: Radboudumc AI model diagnose syndromes scanning kids faces Harmful PFOS levels Hague neighborhood far EU norm SP, DENK wont let planning office check election programs Top stories Harmful PFOS levels Hague neighborhood far EU norm SP, DENK wont let planning office check election programs Amsterdam shocked multiple incidents drag queens Pride Morning fog way sunshine warmer temps arrive Netherlands Fifth Netherlands residents delay healthcare high costs Netherlands work force grew 1.8 million people decades 20122023, NL Times, . Footer menu Privacy Partner content
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https://noqreport.com/2022/10/06/biotech-analyst-exposes-the-covid-vaccine-5g-link-biosynthetic-ai-nanotech-soft-actuators-and-neuroweapons-implanted-with-needles/
| 2022-10-07T00:00:00 |
en
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Biotech Analyst Exposes the Covid "Vaccine" 5G Link, Biosynthetic AI Nanotech, “Soft Actuators” and NEUROWEAPONS Implanted With Needles
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Biotech Analyst Exposes the Covid "Vaccine" 5G Link, Biosynthetic AI Nanotech, “Soft Actuators” and NEUROWEAPONS Implanted With Needles
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Biotech Analyst Exposes the Covid “Vaccine” 5G Link, Biosynthetic AI Nanotech, “Soft Actuators” and NEUROWEAPONS Implanted With Needles
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October 6, 2022
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Few people have conducted as much research into the mRNA injections — dare not call them “vaccines” — as Karen Kingston, a biotech analyst who previously conducted contract work for Pfizer, J&J, Thermo Fisher and other corporations. In a bombshell interview that features key screen shots of patents, science journal articles and corporate documents, Karen Kingston lays out the argument for mRNA covid “vaccine” injections actually being exotic technology implantations that can be used to achieve global enslavement and/or genocide.
Our full one-hour interview is posted below. This interview features video screen shots of several key documents.
Magnetic hydrogels, tissue engineering and remote control
Far from being a conspiracy theory, remote control of magnetic hydrogels — and “tissue engineering” — is well documented in the scientific literature. Here’s one published paper in ACS Nano that describes this exact thing:
Magnetic Nanocomposite Hydrogels for Tissue Engineering: Design Concepts and Remote Actuation Strategies to Control Cell FateWith food shortages coming, it’s a smart move to order organic, cooked, freeze-dried chicken for long-term storage from Prepper Organics.
From the abstract:
Most tissues of the human body are characterized by highly anisotropic physical properties and biological organization. Hydrogels have been proposed as scaffolding materials to construct artificial tissues due to their water-rich composition, biocompatibility, and tunable properties.
…the intrinsic properties of magnetic nanoparticles enable their use as magnetomechanic remote actuators to control the behavior of the cells encapsulated within the hydrogels under the application of external magnetic fields.
Soft actuators for artificial muscles with self-healing and multimodal locomotion properties
From the journal Nature Reviews Materials, we have a science paper entitled, “Soft actuators for real-world applications.”
In this Review, we discuss new materials and structural designs for the engineering of soft actuators with physical intelligence and advanced properties, such as adaptability, multimodal locomotion, self-healing and multi-responsiveness.
Finally, we discuss the challenges and opportunities for next-generation soft actuators, including physical intelligence, adaptability, manufacturing scalability and reproducibility…
Embedded transmission and receiving devices that network to share information, turning human bodies into “cloud” computing platforms
Kingston also reveals how implanted biosynthetic structures have the ability to transmit and receive digitized information, allowing such structures to “network” with each other, even as they reside inside host human bodies. Combined with external AI capabilities that are accelerated by 5G bandwidth speed and low latency, these networking structures can be weaponized against humanity.
One patent cited in this tech is US11107588B2, which discusses, ” The system comprises a plurality of electronic devices comprising instructions to generate an ID and, when in proximity of another such electronic device, one or both electronic devices transmit/receive the ID to/from the other electronic device.”
America needs better media sources. Even many in conservative or alternative media are compromised by Big Tech. Learn why we’re launching Discern.tv and help if you have the means.
The technology described in this patent specifically talks about SARS, MERS, coronavirus and influenza, or any disease that has “influenza-like symptoms.” See this list from the patent:
According to some embodiments of the invention, said virus is a corona virus.
According to some embodiments of the invention, said virus is SARS-CoV.
According to some embodiments of the invention, said virus is MERS-CoV.
According to some embodiments of the invention, said virus is SARS-CoV-2.
According to some embodiments of the invention, said virus is an influenza virus.
According to some embodiments of the invention, said disease results in influenza like symptoms.
The following diagram shows how electromagnetic signals can be broadcast and received among individuals who have been implanted or outfitted with the digital systems:
That same patent also talks about embodiments of circuitry, human networking and pathogen spreading, saying things like:
…generating, by circuitry, a predicted likelihood of said subject of transmitting said pathogen based on said physical proximity information, for a plurality of subjects…
…hardware for performing selected tasks according to some embodiments of the invention could be implemented as a chip or a circuit.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave.
…some embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a “circuit,” “module” or “system.”
Get the full details and documents in this one-hour interview with Karen Kingston:
Covid-19 injections contain NEUROWEAPONS embedded in Lipid Nanoparticels (LNP)
Neurological weapons were hidden through Emergency Use Authorization cover-up
Shocking patents confirm it’s all true (patent numbers shown)
Transhumanism assault on humanity now under way, people becoming LESS human
LNPs can be activated via 5G frequencies to achieve physiological changes
Covid “vaccines” appear to be exotic tech INSTALLED in human hosts
CCP-linked AI company named “national security threat” in USA
5G infrastructure to be exploited by AI embedded systems for surveillance
Post-vaccine “biostructures” are self-assembling biosynthetic weapons
Watch:
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Article cross-posted from Natural News.FLASH SALE: Get $500 OFF on one-year food buckets, VERY limited-time offer.
About the Author
Mike Adams (aka the “Health Ranger“) is a best selling author (#1 best selling science book on Amazon.com called “Food Forensics“), an environmental scientist, a patent holder for a cesium radioactive isotope elimination invention, a multiple award winner for outstanding journalism, a science news publisher and influential commentator on topics ranging from science and medicine to culture and politics. Follow his videos, podcasts, websites and science projects at the links below.
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The U.S. patent office has awarded Mike Adams patent NO. US 9526751 B2 for the invention of “Cesium Eliminator,” a lifesaving invention that removes up to 95% of radioactive cesium from the human digestive tract. Adams has pledged to donate full patent licensing rights to any state or national government that needs to manufacture the product to save human lives in the aftermath of a nuclear accident, disaster, act of war or act of terrorism. He has also stockpiled 10,000 kg of raw material to manufacture Cesium Eliminator in a Texas warehouse, and plans to donate the finished product to help save lives in Texas when the next nuclear event occurs. No independent scientist in the world has done more research on the removal of radioactive elements from the human digestive tract.
Adams is a person of color whose ancestors include Africans and American Indians. He is of Native American heritage, which he credits as inspiring his “Health Ranger” passion for protecting life and nature against the destruction caused by chemicals, heavy metals and other forms of pollution.
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In his laboratory research, Adams has made numerous food safety breakthroughs such as revealing rice protein products imported from Asia to be contaminated with toxic heavy metals like lead, cadmium and tungsten. Adams was the first food science researcher to document high levels of tungsten in superfoods. He also discovered over 11 ppm lead in imported mangosteen powder, and led an industry-wide voluntary agreement to limit heavy metals in rice protein products.
In addition to his lab work, Adams is also the (non-paid) executive director of the non-profit Consumer Wellness Center (CWC), an organization that redirects 100% of its donations receipts to grant programs that teach children and women how to grow their own food or vastly improve their nutrition. Through the non-profit CWC, Adams also launched Nutrition Rescue, a program that donates essential vitamins to people in need. Click here to see some of the CWC success stories.
With a background in science and software technology, Adams is the original founder of the email newsletter technology company known as Arial Software. Using his technical experience combined with his love for natural health, Adams developed and deployed the content management system currently driving NaturalNews.com. He also engineered the high-level statistical algorithms that power SCIENCE.naturalnews.com, a massive research resource featuring over 10 million scientific studies.
Adams is well known for his incredibly popular consumer activism video blowing the lid on fake blueberries used throughout the food supply. He has also exposed “strange fibers” found in Chicken McNuggets, fake academic credentials of so-called health “gurus,” dangerous “detox” products imported as battery acid and sold for oral consumption, fake acai berry scams, the California raw milk raids, the vaccine research fraud revealed by industry whistleblowers and many other topics.
Adams has also helped defend the rights of home gardeners and protect the medical freedom rights of parents. Adams is widely recognized to have made a remarkable global impact on issues like GMOs, vaccines, nutrition therapies, human consciousness.
In addition to his activism, Adams is an accomplished musician who has released over fifteen popular songs covering a variety of activism topics.
Click here to read a more detailed bio on Mike Adams, the Health Ranger, at HealthRanger.com.With food shortages hitting, patriots prepare themselves and their families with long-term storage food. We recommend THREE options.
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Over the last several months, I’ve lost count of how many times the powers-that-be have tried to shut us down. They’ve sent hackers at us, forcing us to take extreme measures on web security. They sent attorneys after us, but thankfully we’re not easily intimidated by baseless accusations or threats. They’ve even gone so far as to make physical threats. Those can actually be a bit worrisome but Remington has me covered.
For us to continue to deliver the truth that Americans need to read and hear, we ask you, our amazing audience, for financial assistance. We have a Giving Fuel page to help us pay the bills. It’s brand new so don’t be discouraged by the lack of donations there. It’s a funny reality that the fewer the donations that have been made, the less likely people are willing to donate to it. One would think this is counterintuitive, but sometimes people are skeptical because they think that perhaps there’s a reason others haven’t been donating. In our situation, we’re just getting started so please don’t be shy if you have the means to help.
Thank you and God bless!
JD Rucker
Covid variant BA.5 is spreading. It appears milder but much more contagious and evades natural immunity. Best to boost your immune system with new Z-Dtox and Z-Stack nutraceuticals from our dear friend, the late Dr. Vladimir Zelenko.
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Biotech Analyst Exposes the Covid "Vaccine" 5G Link, Biosynthetic AI Nanotech, “Soft Actuators” and NEUROWEAPONS Implanted With Needles
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Biotech Analyst Exposes Covid Vaccine 5G Link, Biosynthetic AI Nanotech, Soft Actuators NEUROWEAPONS Implanted With Needles About Give Newsletter Thursday, October 6, 2022 Home About Give News Opinions Quotes Around Web Videos Podcasts No Result View All Result Home About Give News Opinions Quotes Around Web Videos Podcasts No Result View All Result No Result View All Result FLASH SALE: 500 OFF OneYear Food Buckets Biotech Analyst Exposes Covid Vaccine 5G Link, Biosynthetic AI Nanotech, Soft Actuators NEUROWEAPONS Implanted With Needles Mike Adams October 6, 2022 Opinions NOQ Report Is Moving Few people conducted research mRNA injections dare vaccines Karen Kingston, biotech analyst previously conducted contract work Pfizer, JJ, Thermo Fisher corporations. In bombshell interview features key screen shots patents, science journal articles corporate documents, Karen Kingston lays argument mRNA covid vaccine injections actually beingexotic technology implantationsthat achieve global enslavement andor genocide. Our onehour interview posted below. This interview features video screen shots key documents. Magnetic hydrogels, tissue engineering remote control Far conspiracy theory, remote control magnetic hydrogels tissue engineering documented scientific literature. Heres published paper inACS Nanothat describes exact thing: Magnetic Nanocomposite Hydrogels Tissue Engineering: Design Concepts Remote Actuation Strategies Control Cell FateWith food shortages coming, smart order organic, cooked, freezedried chicken longterm storage Prepper Organics. From abstract: Most tissues human body characterized highly anisotropic physical properties biological organization. Hydrogels proposed scaffolding materials construct artificial tissues waterrich composition, biocompatibility, tunable properties. intrinsic properties magnetic nanoparticles enable use magnetomechanic remote actuators control behavior cells encapsulated hydrogels application external magnetic fields. Soft actuators artificial muscles selfhealing multimodal locomotion properties From journalNature Reviews Materials, science paper entitled, Soft actuators realworld applications. In Review, discuss new materials structural designs engineering soft actuators physical intelligence advanced properties, adaptability, multimodal locomotion, selfhealing multiresponsiveness. Finally, discuss challenges opportunities nextgeneration soft actuators, including physical intelligence, adaptability, manufacturing scalability reproducibility Embedded transmission receiving devices network share information, turning human bodies cloud computing platforms Kingston reveals implanted biosynthetic structures ability transmit receive digitized information, allowing structures network other, reside inside host human bodies. Combined external AI capabilities accelerated 5G bandwidth speed low latency, networking structures weaponized humanity. One patent cited tech isUS11107588B2, discusses, The comprises plurality electronic devices comprising instructions generate ID and, proximity electronic device, electronic devices transmitreceive ID tofrom electronic device. America needs better media sources. Even conservative alternative media compromised Big Tech. Learn launching Discern.tv help means. The technology described patent specifically talks SARS, MERS, coronavirus influenza, disease influenzalike symptoms. See list patent: According embodiments invention, said virus corona virus. According embodiments invention, said virus SARSCoV. According embodiments invention, said virus MERSCoV. According embodiments invention, said virus SARSCoV2. According embodiments invention, said virus influenza virus. According embodiments invention, said disease results influenza like symptoms. The following diagram shows electromagnetic signals broadcast received individuals implanted outfitted digital systems: That patent talks embodiments circuitry, human networking pathogen spreading, saying things like: generating, circuitry, predicted likelihood said subject transmitting said pathogen based said physical proximity information, plurality subjects hardware performing selected tasks according embodiments invention implemented chip circuit. A readable signal medium include propagated data signal readable program code embodied therein, example, baseband carrier wave. embodiments present invention form entirely hardware embodiment, entirely software embodiment including firmware, resident software, microcode, etc. embodiment combining software hardware aspects generally referred circuit, module system. Get details documents onehour interview Karen Kingston: Covid19 injections contain NEUROWEAPONS embedded Lipid Nanoparticels LNP Neurological weapons hidden Emergency Use Authorization coverup Shocking patents confirm true patent numbers shown Transhumanism assault humanity way, people LESS human LNPs activated 5G frequencies achieve physiological changes Covid vaccines appear exotic tech INSTALLED human hosts CCPlinked AI company named national security threat USA 5G infrastructure exploited AI embedded systems surveillance Postvaccine biostructures selfassembling biosynthetic weapons Watch: Brighteon:0baeff432a1d4df98e02454a459ee9ae Bitchute:videoVQ82yqtbkqsv Rumble:v1mvnznbiotechanalystkarenkingstonunveilsthecovidvaccine5glinkbiosynthet.html Banned.Video:Banned.videowatch?id=633f106fd408083dd71e1632 Or watch here: Discover interviews podcasts day at: Article crossposted Natural News.FLASH SALE: Get 500 OFF oneyear food buckets, VERY limitedtime offer. About Author Mike Adams aka Health Ranger best selling author 1 best selling science book called Food Forensics, environmental scientist, patent holder cesium radioactive isotope elimination invention, multiple award winner outstanding journalism, science news publisher influential commentator topics ranging science medicine culture politics. Follow videos, podcasts, websites science projects links below. Mike Adams serves founding editor lab science director internationally accredited ISO 17025 analytical laboratory known asCWC Labs. There, awarded aCertificate Excellencefor achieving extremely high accuracy analysis toxic elements unknown water samples ICPMS instrumentation. Adams highly proficient running liquid chromatography, ion chromatography mass spectrometry timeofflight analytical instrumentation. He achieved numerous laboratory breakthroughs programming automated liquid handling robots sample preparation external standards prep. The U.S. patent office hasawarded Mike Adams patent NO. US 9526751 B2for invention Cesium Eliminator, lifesaving invention removes 95 radioactive cesium human digestive tract. Adams pledged donate patent licensing rights state national government needs manufacture product save human lives aftermath nuclear accident, disaster, act war act terrorism. He stockpiled 10,000 raw material manufacture Cesium Eliminator Texas warehouse, plans donate finished product help save lives Texas nuclear event occurs. No independent scientist world research removal radioactive elements human digestive tract. Adams aperson colorwhose ancestors include Africans American Indians. He ofNative American heritage, credits inspiring Health Ranger passion protecting life nature destruction caused chemicals, heavy metals forms pollution. Adams author worlds book published ICPMS heavy metals analysis results foods, dietary supplements, pet food, spices fast food. The book entitledFood Forensicsand published BenBella Books. In laboratory research, Adams numerous food safety breakthroughs revealing rice protein products imported Asia becontaminated toxic heavy metals like lead, cadmium tungsten. Adams food science researcher documenthigh levels tungsten superfoods. He discoveredover 11 ppm lead imported mangosteen powder, led anindustrywide voluntary agreementto limit heavy metals rice protein products. In addition lab work, Adams nonpaid executive director nonprofitConsumer Wellness CenterCWC, organization redirects 100 donations receipts grant programs teach children women grow food vastly improve nutrition. Through nonprofit CWC, Adams launchedNutrition Rescue, program donates essential vitamins people need.Click hereto CWC success stories. With background science software technology, Adams original founder ofthe email newsletter technology company known Arial Software. Using technical experience combined love natural health, Adams developed deployed content management currently driving . He engineered highlevel statistical algorithms powerSCIENCE., massive research resource featuring 10 million scientific studies. Adams known incredibly popularconsumer activism video blowing lid fake blueberriesused food supply. He exposedstrange fibers Chicken McNuggets,fake academic credentialsof socalled health gurus, dangerousdetox products imported battery acidand sold oral consumption,fake acai berry scams, Californiaraw milk raids, thevaccine research fraudrevealed industry whistleblowers topics. Adams helpeddefend rights home gardenersand protect themedical freedom rights parents. Adams widely recognized remarkable global impact issues like GMOs, vaccines, nutrition therapies, human consciousness. In addition activism, Adams accomplished musician releasedover popular songscovering variety activism topics. Click read detailed bio Mike Adams, Health Ranger, .With food shortages hitting, patriots prepare families longterm storage food. We recommend THREE options. Find science, news, commentary inventions Health Ranger at: : channelhrreport Diaspora: uncensored social network Share. GAB: healthranger Podcasts: Online store: 1 Bestselling Science BookFood Forensics: iTunes: itunes.uspodcastthehealthrangerreportid1063165791 SoundCloud: healthranger Health Rangers science lab Health Ranger bio engine: Theyre Trying Shut Us Down Over months, Ive lost count times powersthatbe tried shut down. Theyve sent hackers us, forcing extreme measures web security. They sent attorneys us, thankfully easily intimidated baseless accusations threats. Theyve gone far physical threats. Those actually bit worrisome Remington covered. For continue deliver truth Americans need read hear, ask you, amazing audience, financial assistance. We Giving Fuel help pay bills. Its brand new dont discouraged lack donations there. Its funny reality fewer donations made, likely people willing donate it. One think counterintuitive, people skeptical think theres reason havent donating. In situation, getting started dont shy means help. Thank God bless JD Rucker Covid variant BA.5 spreading. It appears milder contagious evades natural immunity. Best boost immune new ZDtox ZStack nutraceuticals dear friend, late Dr. Vladimir Zelenko. Why We Moderate Commentors First Post Tags: 5GCoronavirusCovid19LedeNanotechNatural NewsTop StoryVaccines Bypass Big Tech Censors My Shows The JD Rucker Show Rumble The JD Rucker Podcast Apple Red State Talk Radio MF 2pm ET America Out Loud MF 7pm ET America First Report Substack The Late Prepper Substack End Medical Tyranny Substack Our Sponsors Shows Konnech, VaxxSpoiled Breast Milk, OPEC CDC Forced Reveal They Had 71 MILLION Symptoms Satanic Temple Sues Federal Court Overturn Abortion Bans Steve Kirsch A Revolution Truth Bypass Big Tech Censors The FederalistWisconsin Judge Rules That Electors Cannot Change Ballots After VotingWhat Are Democrats Worried About Poll Watchers Trying To Hide?Bidens HHS Funnels 750k In Covid Funds To Guttmacher Institute For Ongoing Abortion ActivismAs Election Day Approaches, National Republicans Are Leaving Key Gubernatorial Candidates Out To DryTech Firm Told The FBI It Didnt Store U.S. Poll Workers Data On Chinese Servers, As L.A. DA Alleges The BlazeFamilys pit bulls maul toddler baby death, mother rushed hospitalGoogle runs proLGBT animation Velmarelated search results celebrate ScoobyDoo character explicitly gay new movieLindsey Graham Elon Musk feud Ukraine electric car subsidiesThats new challenge firefighters havent faced before: Florida marshal warns corrosion EVs Hurricane Ian spark dangerous firesFBI agents reportedly believe theres evidence charge Hunter Biden tax gun crimes PJ MediaManiac Commits Mass Stabbing Las Vegas Strip: Six Injured, Two DeadHORROR IN THAILAND: ExCop Rams Through Daycare Center, Killing 38, luding 24 ChildrenFeds Announce They Have Enough Evidence Nail Hunter Bidenbut You Already Knew ThatCanadas DilemmaRussians Invade Alaskan Island Seek Asylum, Escape Military Service National FileVideo: Financial Oligarch Says Central Banks Will Have Absolute Control Money Coming Cashless SocietyNational File Tonight: Fauci Changes Tune COVID Origins, Says Chinese Government Probably Hiding InformationAmericans Say Inflation Grocery Stores Higher Than Bidens Official 13.5 FigureBiden DOJ Continues To Target Conservatives, Arrests 11 ProLife ActivistsIS THAT A THREAT? High School Principal Pulling Up White Person Says Theyre Not Racist TownhallFactChecking Trump Fables, Ignoring Hurricane Relief, Worst Twitter Might QuitThe Most Important Election Issue: Educational FreedomChildless AOC Lectures ProLife Lawmakers With ChildrenIts Official: Associated Press Is Fake NewsIs Brett Favre Really Historys Greatest Monster? RedStateBlake Masters Mark Kelly Trade Blistering Jabs Senate DebateOops, Electric Vehicles Are Exploding After Water Damage Hurricane IanKanye Lights It Up Remarkable Interview With Tucker Trump, Being Prolife, Liberal NazisTell Me You Despise Black Voters Without Telling Me You Despise Black VotersBiden Has Confused Take Has Many Scratching Their Heads About Give 2021 NOQ Report No Result View All Result Home About Give News Opinions Quotes Around Web Videos Podcasts 2021 NOQ Report Close dialog Session expired Please log again. The login open new tab. After logging close return . >
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Home / News / NYC aims to be first to rein in AI hiring tools
NYC aims to be first to rein in AI hiring tools
By: The Associated Press
MATT O'BRIEN
November 19, 2021
0
Job candidates rarely know when hidden artificial intelligence tools are rejecting their resumes or analyzing their video interviews. But New York City residents could soon get more say over the computers making behind-the-scenes decisions about their careers.
A bill passed by the City Council in early November would ban employers from using automated hiring tools unless ...
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But New York City residents soon computers making behindthescenes decisions careers. A passed City Council early November ban employers automated hiring tools ... Digital Mobile 1 Year199 Monthly autorenew15.00 The Daily Record Foreclosures Glance Email Service1 Year Print, Digital Mobile2991 Month Autorenew Print, Digital Mobile39 Print, Digital Mobile1 Year249 Digital Mobile 1 Year199 Monthly autorenew15 The Daily Record Foreclosures Glance Email Service1 Year Print, Digital Mobile2991 Month Autorenew Print, Digital Mobile39 Print, Digital Mobile1 Year249 Digital Mobile 1 Year199 Monthly autorenew15Print, Digital Mobile1 Year249The Daily Record Foreclosures Glance Email Service1 Year Print, Digital Mobile2991 Month Autorenew Print, Digital Mobile39 Email: Password: Enter user password fields gain access subscriber content site. Your subscription includes set login credentials exclusive use. 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ARTIFICIAL INTELLIGENCE MARKET Prevalent Opportunities up to 2023 – Nyse News Times
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Artificial Intelligence MarketARTIFICIAL INTELLIGENCE MARKET Growth Development AnalysisARTIFICIAL INTELLIGENCE MARKET latest ReportARTIFICIAL INTELLIGENCE MARKET Research TradesARTIFICIAL INTELLIGENCE MARKET StudyARTIFICIAL INTELLIGENCE MARKET SurveyARTIFICIAL INTELLIGENCE MARKET TaxonomyARTIFICIAL INTELLIGENCE MARKET Trending ReportTrends Market Research
The advancements of more human-like robots and increment in their organization rate in the creating areas have substantially affected the general computerized reasoning (AI) showcase. Enhanced profitability, differentiated application zones, expanded consumer loyalty, and enormous information coordination drive the counterfeit consciousness showcase. Be that as it may, absence of gifted workforce and danger to human respect and different dangers could control the market development. By the by, the effect of these components is foreseen to be insignificant because of the presentation of more up to date advances. Global Artificial Intelligence Market 2018-2023 report includes different applications such as Deep Learning, Robotics, Digital Personal Assistant, Querying Method, NLP and Context-Aware Processing.
Get More Information About ARTIFICIAL INTELLIGENCE MARKET: https://www.trendsmarketresearch.com/report/sample/6256
This report aims to estimate the Global Artificial Intelligence Market 2018-2023 for 2018 and to project the expected demand of the same by 2019. This market research study provides a detailed qualitative and quantitative analysis of the Global Artificial Intelligence Market 2018-2023. It provides a comprehensive review of major drivers and restraints of the market. Major companies such as IBM, Google, Intel, Microsoft, Nvidia, etc. are profiled in this report. Global Artificial Intelligence Market 2018-2023 is also segmented into major application and geographies.
Report for Discount: https://www.trendsmarketresearch.com/report/discount/6256
Various secondary sources, such as annual reports, industry journals, forums, blogs, paid and free databases to identify and collect information useful for this extensive commercial study of Global Artificial Intelligence Market 2018-2023 have been used. The primary sources, experts from related industries and suppliers, have been interviewed to obtain and verify critical information as well as to assess the future prospects of Global Artificial Intelligence Market 2018-2023.
Global Artificial Intelligence Market 2018-2023 has grown significantly during the last few years, and it is expected to grow at a rapid pace in the next five years, mainly driven by a growing consumption in the North America region. Global Artificial Intelligence Market 2018-2023 is expected to grow at 45% CAGR till 2023.
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ARTIFICIAL INTELLIGENCE MARKET Prevalent Opportunities up to 2023
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ARTIFICIAL INTELLIGENCE MARKET Prevalent Opportunities 2023 Nyse News Times Skip content Friday, March 27, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News ARTIFICIAL INTELLIGENCE MARKET Prevalent Opportunities 2023 ethan March 27, 2020 No Comments Artificial Intelligence MarketARTIFICIAL INTELLIGENCE MARKET Growth Development AnalysisARTIFICIAL INTELLIGENCE MARKET latest ReportARTIFICIAL INTELLIGENCE MARKET Research TradesARTIFICIAL INTELLIGENCE MARKET StudyARTIFICIAL INTELLIGENCE MARKET SurveyARTIFICIAL INTELLIGENCE MARKET TaxonomyARTIFICIAL INTELLIGENCE MARKET Trending ReportTrends Market Research The advancements humanlike robots increment organization rate creating areas substantially affected general computerized reasoning AI showcase. Enhanced profitability, differentiated application zones, expanded consumer loyalty, enormous information coordination drive counterfeit consciousness showcase. Be may, absence gifted workforce danger human respect different dangers control market development. By by, effect components foreseen insignificant presentation date advances. Global Artificial Intelligence Market 20182023 report includes different applications Deep Learning, Robotics, Digital Personal Assistant, Querying Method, NLP ContextAware Processing. Get More Information About ARTIFICIAL INTELLIGENCE MARKET: This report aims estimate GlobalArtificial Intelligence Market20182023 2018 project expected demand 2019. This market research study provides detailed qualitative quantitative analysis Global Artificial Intelligence Market 20182023. It provides comprehensive review major drivers restraints market. Major companies IBM, Google, Intel, Microsoft, Nvidia, etc. profiled report. Global Artificial Intelligence Market 20182023 segmented major application geographies. Report Discount: Various secondary sources, annual reports, industry journals, forums, blogs, paid free databases identify collect information useful extensive commercial study Global Artificial Intelligence Market 20182023 used. The primary sources, experts related industries suppliers, interviewed obtain verify critical information assess future prospects Global Artificial Intelligence Market 20182023. Global Artificial Intelligence Market 20182023 grown significantly years, expected grow rapid pace years, mainly driven growing consumption North America region. Global Artificial Intelligence Market 20182023 expected grow 45 CAGR till 2023. Make Inquiry [emailprotected] Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Pulmonary Drug Delivery DevicesSystems Market Developments Analysis 2033Next Next post: 20202025 Global Regional Antidecubitus Dynamic Mattresses Industry Production, Sales Consumption Status Prospects Professional Market Research Report Recent Posts Global Hydraulic Hose Market Size Will Reach 1680 Million 2022 Global Antimony Metal Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Hunan Gold Group, Hsikwang Shan Twinking Star, Dongfeng, Hechi Nanfang Nonferrous Metals Group, GeoProMining, etc. Organic Asparagus Industry 2020 Market Size, Segmentation, Competitors Future Insights 2025 Latest News 2020: Antimoney Laundering Service Market analysis COVID19 Impact Analysis With Top Manufacturers Analysis Top Players: Oracle, Thomson Reuters, Fiserv, SAS, SunGard, etc. Antilock Brake System Market 2020: Potential Growth, Challenges, COVID19 Impact Analysis Key Players: Bosch, Teldix GmbH, FORD, KELSEHAYES, CHRYSLER, etc. Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top
| 2,020 |
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Biggest Invention Artificial Intelligence In Food & Beverages Market is flourishing in World throughout forthcoming year | TOMRA Sorting Solutions AS., GREEFA., Sesotec GmbH., Key Technology, Raytec Vision SpA., Rockwell Automation – Nyse News Times
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Biggest Invention Artificial Intelligence In Food & Beverages Market is flourishing in World throughout forthcoming year | TOMRA Sorting Solutions AS., GREEFA., Sesotec GmbH., Key Technology, Raytec Vision SpA., Rockwell Automation
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ABB LtdArtificial Intelligence In Food & BeveragesArtificial Intelligence In Food & Beverages MarketArtificial Intelligence In Food & Beverages Market AnalysisArtificial Intelligence In Food & Beverages Market ForecastArtificial Intelligence In Food & Beverages Market GrowthArtificial Intelligence In Food & Beverages Market ResearchArtificial Intelligence In Food & Beverages Market trendGREEFA.Honeywell InternationalKey TechnologyMartec of Whitell Ktd.Raytec Vision SpA.Rockwell AutomationSesotec GmbHSight MachineTOMRA Sorting Solutions AS.
Artificial intelligence in food and beverages will be defined as solutions that help in improving the supply chain of food & beverages industry. This solution provides gives other way to fulfil their customers in the lower costs. The advent usage of artificial intelligence, in the food & beverages industry has offers various advantages such as increases efficiency and execution of product delivery; increase food security and also reduces wastage of food.
AI is being applied to understand the consumer behavior, which is expected to lead to more accurate predictions. It can further enable marketers and organizations to reach out to the customers at a personal level, engage in deeper interactions, and enhance their overall experience with the brand.
The Global Artificial Intelligence In Food & Beverages Market is accounted by 2027 growing at a CAGR of +63% during the forecast period.
Get Sample copy of this Report @: https://www.theresearchinsights.com/request_sample.php?id=7126
Prepared by an expert team, the report on the Global Artificial Intelligence In Food & Beverages market highlights recent developments, key trends, and new project developments in the market. This research, highlighting the current situation of the Global Artificial Intelligence In Food & Beverages market, focuses on answering some of the important questions faced by stakeholders.
Companies Profiled in this Report includes, TOMRA Sorting Solutions AS., GREEFA., Sesotec GmbH., Key Technology, Raytec Vision SpA., Rockwell Automation, ABB Ltd., Honeywell International, Martec of Whitell Ktd., Sight Machine
An all-inclusive exploration of the condition of Artificial Intelligence In Food & Beverages market has been completed in this astuteness report. It comprises the examinations done on the previous innovation, ongoing market situations and upcoming forecasts. An accurate information of the merchandises, approaches and market stocks of leading businesses in this specific market is declared.
Get up to 40% Discount on this Report @:
https://www.theresearchinsights.com/ask_for_discount.php?id=7126
Various factors are responsible for the market’s growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence In Food & Beverages market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Artificial Intelligence In Food & Beverages market’s trajectory between forecast periods.
Reason to Access the Artificial Intelligence In Food & Beverages Market Research Report:
Artificial Intelligence In Food & Beverages market is segmented on the basis of various parameters. The factors which are impacting the market’s growth are studied in detail. The report also presents a overall weaknesses which companies operating in the market must avoid in order to enjoy sustainable growth through the course of the forecast period. Besides this, profiles of some of the leading players operating and encouraging in the growth of the global market are included in the study. Additionally, using SWOT analysis, markets weaknesses and strengths are analyzed. It also helps the report provide insights into the opportunities and threats that these companies may face during the forecast period.
For More Information:
https://www.theresearchinsights.com/enquiry_before_buying.php?id=7126
Table of Contents
Global Artificial Intelligence In Food & Beverages Market Research Report 2020-2027
Chapter 1 Artificial Intelligence In Food & Beverages Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast
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Biggest Invention Artificial Intelligence In Food Beverages Market flourishing World forthcoming year TOMRA Sorting Solutions AS., GREEFA., Sesotec GmbH., Key Technology, Raytec Vision SpA., Rockwell Automation Nyse News Times Skip content Wednesday, March 18, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Industry Analysis Industry Reports Market Analysis Market Research Biggest Invention Artificial Intelligence In Food Beverages Market flourishing World forthcoming year TOMRA Sorting Solutions AS., GREEFA., Sesotec GmbH., Key Technology, Raytec Vision SpA., Rockwell Automation [emailprotected] March 18, 2020 No Comments ABB LtdArtificial Intelligence In Food BeveragesArtificial Intelligence In Food Beverages MarketArtificial Intelligence In Food Beverages Market AnalysisArtificial Intelligence In Food Beverages Market ForecastArtificial Intelligence In Food Beverages Market GrowthArtificial Intelligence In Food Beverages Market ResearchArtificial Intelligence In Food Beverages Market trendGREEFA.Honeywell InternationalKey TechnologyMartec Whitell Ktd.Raytec Vision SpA.Rockwell AutomationSesotec GmbHSight MachineTOMRA Sorting Solutions AS. Artificial intelligence food beverages defined solutions help improving supply chain food beverages industry. This solution provides gives way fulfil customers lower costs. The advent usage artificial intelligence, food beverages industry offers advantages increases efficiency execution product delivery; increase food security reduces wastage food. AI applied understand consumer behavior, expected lead accurate predictions. It enable marketers organizations reach customers personal level, engage deeper interactions, enhance overall experience brand. The Global Artificial Intelligence In Food Beverages Market accounted 2027 growing CAGR 63 forecast period. Get Sample copy Report Prepared expert team, report Global Artificial Intelligence In Food Beverages market highlights recent developments, key trends, new project developments market. This research, highlighting current situation Global Artificial Intelligence In Food Beverages market, focuses answering important questions faced stakeholders. Companies Profiled Report includes, TOMRA Sorting Solutions AS., GREEFA., Sesotec GmbH., Key Technology, Raytec Vision SpA., Rockwell Automation, ABB Ltd., Honeywell International, Martec Whitell Ktd., Sight Machine An allinclusive exploration condition Artificial Intelligence In Food Beverages market completed astuteness report. It comprises examinations previous innovation, ongoing market situations upcoming forecasts. An accurate information merchandises, approaches market stocks leading businesses specific market declared. Get 40 Discount Report Various factors responsible markets growth trajectory, studied length report. In addition, report lists restraints posing threat global Artificial Intelligence In Food Beverages market. It gauges bargaining power suppliers buyers, threat new entrants product substitute, degree competition prevailing market. The influence latest government guidelines analyzed report. It studies Artificial Intelligence In Food Beverages markets trajectory forecast periods. Reason Access Artificial Intelligence In Food Beverages Market Research Report: Artificial Intelligence In Food Beverages market segmented basis parameters. The factors impacting markets growth studied detail. The report presents overall weaknesses companies operating market avoid order enjoy sustainable growth course forecast period. Besides this, profiles leading players operating encouraging growth global market included study. Additionally, SWOT analysis, markets weaknesses strengths analyzed. It helps report provide insights opportunities threats companies face forecast period. For More Information: Table Contents Global Artificial Intelligence In Food Beverages Market Research Report 20202027 Chapter 1 Artificial Intelligence In Food Beverages Market Overview Chapter 2 Global Economic Impact Industry Chapter 3 Global Market Competition Manufacturers Chapter 4 Global Production, Revenue Value Region Chapter 5 Global Supply Production, Consumption, Export, Import Regions Chapter 6 Global Production, Revenue Value, Price Trend Type Chapter 7 Global Market Analysis Application Chapter 8 Manufacturing Cost Analysis Chapter 9 Industrial Chain, Sourcing Strategy Downstream Buyers Chapter 10 Marketing Strategy Analysis, DistributorsTraders Chapter 11 Market Effect Factors Analysis Chapter 12 Global Market Forecast Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Water Guns Market Functional Survey 2025 Recent Posts Biggest Invention Artificial Intelligence In Food Beverages Market flourishing World forthcoming year TOMRA Sorting Solutions AS., GREEFA., Sesotec GmbH., Key Technology, Raytec Vision SpA., Rockwell Automation Water Guns Market Functional Survey 2025 Motor Capacitor Market Value Share, Supply Demand, share Value Chain 20192025 Huge Growth Global 3D Printing Medical Devices Market 2027: Key Players like Arcam AB, 3D Systems, Organovo Holdings, SLM Solutions Group AG, Cyfuse Biomedical K.K., EOS GmbH Electro Optical Systems Wireline Services Market 2020: Market Status, Dynamics, Growth Drivers Regional Outlook Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top
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Alex May 14, 2020
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Computer Vision MarketComputer Vision Market analysisComputer Vision market forecastComputer Vision Market playersComputer Vision Market scopeComputer Vision market shareComputer Vision market sizeComputer Vision market trends
A new research study has been presented by Dataintelo.com offering a comprehensive analysis on the Global Computer Vision Market where user can benefit from the complete market research report with all the required useful information about this market. This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. The report discusses all major market aspects with expert opinion on current market status along with historic data. This market report is a detailed study on the growth, investment opportunities, market statistics, growing competition analysis, major key players, industry facts, important figures, sales, prices, revenues, gross margins, market shares, business strategies, top regions, demand, and developments.
The Computer Vision Market report provides a detailed analysis of the global market size, regional and country-level market size, segment growth, market share, competitive landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunity analysis, strategic market growth analysis, product launches, and technological innovations.
Get a Free Sample Copy of the Computer Vision Market Report with Latest Industry Trends @ https://dataintelo.com/request-sample/?reportId=49190
Major Players Covered in this Report are: BaslerOmronKeyenceNational InstrumentsSonyTeledyne Technologies
Global Computer Vision Market SegmentationThis market has been divided into Types, Applications, and Regions. The growth of each segment provides an accurate calculation and forecast of sales by Types and Applications, in terms of volume and value for the period between 2020 and 2026. This analysis can help you expand your business by targeting qualified niche markets. Market share data is available on the global and regional level. Regions covered in the report are North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America. Research analysts understand the competitive strengths and provide competitive analysis for each competitor separately.
By Types:PC BasedSmart Camera Based
By Applications:AutomotiveHealthcareConsumer ElectronicsFood & PackagingOthers
To get Incredible Discounts on this Premium Report, Click Here @ https://dataintelo.com/ask-for-discount/?reportId=49190
Global Computer Vision Market Regions and Countries Level AnalysisRegional analysis is a highly comprehensive part of this report. This segmentation sheds light on the sales of the Computer Vision on regional- and country-level. This data provides a detailed and accurate country-wise volume analysis and region-wise market size analysis of the global market.
The report offers an in-depth assessment of the growth and other aspects of the market in key countries including the US, Canada, Mexico, Germany, France, the UK, Russia, Italy, China, Japan, South Korea, India, Australia, Brazil, and Saudi Arabia. The competitive landscape chapter of the global market report provides key information about market players such as company overview, total revenue (financials), market potential, global presence, Computer Vision sales and revenue generated, market share, prices, production sites and facilities, products offered, and strategies adopted. This study provides Computer Vision sales, revenue, and market share for each player covered in this report for a period between 2016 and 2020.
Make an Inquiry of this Report @ https://dataintelo.com/enquiry-before-buying/?reportId=49190
Why Choose Us:
We offer industry-leading critical reports with accurate insights into the future of the market.
Our reports have been evaluated by some industry experts in the market, thus making them beneficial for the company’s to maximize their return on investments.
We provide a comprehensive pictorial representation of the information, strategic recommendations, outcomes of the analytical tools to offer an elaborate landscape, highlighting the key market players. This detailed assessment of the market will help the company increase efficiency.
The demand and supply dynamics offered in the report give a 360 degree view of the market.
Our report helps readers decipher the current and future constraints in the Computer Vision Market, and help them formulate optimum business strategies to maximize growth in the market.
Table of Contents1. Executive Summary2. Assumptions and Acronyms Used3. Research Methodology4. Market Overview5. Global Market Analysis and Forecast, by Types6. Global Market Analysis and Forecast, by Applications7. Global Market Analysis and Forecast, by Regions8. North America Market Analysis and Forecast9. Latin America Market Analysis and Forecast10. Europe Market Analysis and Forecast11. Asia Pacific Market Analysis and Forecast12. Middle East & Africa Market Analysis and Forecast13. Competition Landscape
About DataIntelo:DATAINTELO has set its benchmark in the market research industry by providing syndicated and customized research report to the clients. The database of the company is updated on a daily basis to prompt the clients with the latest trends and in-depth analysis of the industry. Our pool of database contains various industry verticals that include: IT & Telecom, Food Beverage, Automotive, Healthcare, Chemicals and Energy, Consumer foods, Food and beverages, and many more. Each and every report goes through the proper research methodology, validated from the professionals and analysts to ensure the eminent quality reports.
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Computer Vision Industry 2020 Market Size, Share, Price, Trend And Forecast To 2026 DataIntelo Market Reports Skip content Thursday, May 14, 2020 Home Our Journalist Disclaimer Us Market Reports Market News Research Market Reports Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Computer Vision Industry 2020 Market Size, Share, Price, Trend And Forecast To 2026 DataIntelo Alex May 14, 2020 No Comments Computer Vision MarketComputer Vision Market analysisComputer Vision market forecastComputer Vision Market playersComputer Vision Market scopeComputer Vision market shareComputer Vision market sizeComputer Vision market trends A new research study presented offering comprehensive analysis Global Computer Vision Market user benefit complete market research report required useful information market. This latest report, covering current COVID19 impact market. The pandemic Coronavirus COVID19 affected aspect life globally. This brought changes market conditions. The rapidly changing market scenario initial future assessment impact covered report. The report discusses major market aspects expert opinion current market status historic data. This market report detailed study growth, investment opportunities, market statistics, growing competition analysis, major key players, industry facts, important figures, sales, prices, revenues, gross margins, market shares, business strategies, regions, demand, developments. The Computer Vision Market report provides detailed analysis global market size, regional countrylevel market size, segment growth, market share, competitive landscape, sales analysis, impact domestic global market players, value chain optimization, trade regulations, recent developments, opportunity analysis, strategic market growth analysis, product launches, technological innovations. Get Free Sample Copy Computer Vision Market Report Latest Industry Trends @ Major Players Covered Report are: BaslerOmronKeyenceNational InstrumentsSonyTeledyne Technologies Global Computer Vision Market SegmentationThis market divided Types, Applications, Regions. The growth segment provides accurate calculation forecast sales Types Applications, terms volume value period 2020 2026. This analysis help expand business targeting qualified niche markets. Market share data available global regional level. Regions covered report North America, Europe, Asia Pacific, Middle East Africa, Latin America. Research analysts understand competitive strengths provide competitive analysis competitor separately. By Types:PC BasedSmart Camera Based By Applications:AutomotiveHealthcareConsumer ElectronicsFood PackagingOthers To redible Discounts Premium Report, Click Here @ Global Computer Vision Market Regions Countries Level AnalysisRegional analysis highly comprehensive report. This segmentation sheds light sales Computer Vision regional countrylevel. This data provides detailed accurate countrywise volume analysis regionwise market size analysis global market. The report offers indepth assessment growth aspects market key countries including US, Canada, Mexico, Germany, France, UK, Russia, Italy, China, Japan, South Korea, India, Australia, Brazil, Saudi Arabia. The competitive landscape chapter global market report provides key information market players company overview, total revenue financials, market potential, global presence, Computer Vision sales revenue generated, market share, prices, production sites facilities, products offered, strategies adopted. This study provides Computer Vision sales, revenue, market share player covered report period 2016 2020. Make Inquiry Report @ Why Choose Us: We offer industryleading critical reports accurate insights future market. Our reports evaluated industry experts market, making beneficial companys maximize return investments. We provide comprehensive pictorial representation information, strategic recommendations, outcomes analytical tools offer elaborate landscape, highlighting key market players. This detailed assessment market help company increase efficiency. The demand supply dynamics offered report 360 degree view market. Our report helps readers decipher current future constraints Computer Vision Market, help formulate optimum business strategies maximize growth market. Table Contents1. Executive Summary2. Assumptions Acronyms Used3. Research Methodology4. Market Overview5. Global Market Analysis Forecast, Types6. Global Market Analysis Forecast, Applications7. Global Market Analysis Forecast, Regions8. North America Market Analysis Forecast9. Latin America Market Analysis Forecast10. Europe Market Analysis Forecast11. Asia Pacific Market Analysis Forecast12. Middle East Africa Market Analysis Forecast13. Competition Landscape About DataIntelo:DATAINTELO set benchmark market research industry providing syndicated customized research report clients. The database company updated daily basis prompt clients latest trends indepth analysis industry. Our pool database contains industry verticals include: IT Telecom, Food Beverage, Automotive, Healthcare, Chemicals Energy, Consumer foods, Food beverages, more. Each report goes proper research methodology, validated professionals analysts ensure eminent quality reports. Info:Name: Alex MathewsAddress: 500 East E Street, Ontario,CA 91764, US.Phone No: US: 1 909 545 6473 IND: 917000061386Email: [emailprotected]Website: Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Computer Plate CTP Market Report 2020: Size, Trends, Competitive Analysis, Types, Applications, Manufactures And Forecast To 2026Next Next post: Computer Workstation Market Share, Size 2020 By Industry Future Demand, Global Research, Top Leading Players, Developing Trends, Region Forecast To 2026 Recent Posts Body Temperature Monitoring Market Global Production, Growth, Share, Demand Applications Forecast 2025 Water Bottle Market, Share, Growth, Trends And Forecast To 2025 UpMarketResearch Global Brain Tumor Therapeutics Market Insight Growth Analysis Volume, Revenue Forecast 20192025 Truck Trailers Market Trends, Opportunities, Key Players, Growth, Analysis, Outlook Forecasts To 2025 General Crop Farming Market Booming Demand Leading To Exponential CAGR Growth By 2026 UpMarketResearch Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. May 2020 M T W T F S S Apr 123 45678910 11121314151617 18192021222324 25262728293031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Market Reports Designed by: Theme Freesia WordPress All right reserved Top
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Marvelous Demand of Legal Tech Artificial Intelligence Market in Globally to 2027 | Top Key Players: Apple, Xiaomi, OnePlus, Vivo, and Huawei – Nyse News Times
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Marvelous Demand of Legal Tech Artificial Intelligence Market in Globally to 2027 | Top Key Players: Apple, Xiaomi, OnePlus, Vivo, and Huawei – Nyse News Times
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Legal Tech Artificial IntelligenceLegal Tech Artificial Intelligence forecastLegal Tech Artificial Intelligence industryLegal Tech Artificial Intelligence marketLegal Tech Artificial Intelligence priceLegal Tech Artificial Intelligence shareLegal Tech Artificial Intelligence trends
Astonishing Growth Of Legal Tech Artificial Intelligence Market 2020 | Latest Trends, Demand, Growth, Opportunities & Outlook Till 2027
The Analysis report titled “Legal Tech Artificial Intelligence Market 2027” highly demonstrates the current Legal Tech Artificial Intelligence market analysis scenario, impending future opportunities, revenue growth, pricing and profitability of the industry.
The report provides a basic overview of the industry including definitions and classifications. The Legal Tech Artificial Intelligence analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status.
The report discusses the various types of solutions for Legal Tech Artificial Intelligence Market. While the regions considered in the scope of the report include North America, Europe, and various others. The study also emphasizes on how rising Legal Tech Artificial Intelligence threats is changing the market scenario.
Some of the key players operating in this market include: ROSS Intelligence, Lex Machina, Casetext Inc, LawGeex, Fiscal Note
Get sample copy of Legal Tech Artificial Intelligence Market [email protected] https://www.reportsandmarkets.com/sample-request/global-uk-legal-tech-artificial-intelligence-market-forecast-2019-2026?utm_source=SatPR&utm_medium=34
The detailed report provides the major key regions and the crucial elements of the market.
Global Legal Tech Artificial Intelligence Market, By Region are: North America, China, Europe, Asia-Pacific, Japan, India, Rest of the Worlds
Legal Tech Artificial Intelligence Market Research Report 2020 carries in-depth case studies on the various countries which are involved in the Legal Tech Artificial Intelligence market. The report is segmented according to usage wherever applicable and the report offers all this information for all major countries and associations. It offers an analysis of the technical barriers, other issues, and cost-effectiveness affecting the market. Important contents analyzed and discussed in the report include market size, operation situation, and current & future development trends of the market, market segments, business development, and consumption tendencies. Moreover, the report includes the list of major companies/competitors and their competition data that helps the user to determine their current position in the market and take corrective measures to maintain or increase their share holds.
The report includes six parts, dealing with:
1.) Basic information;
2.) The Asia Legal Tech Artificial Intelligence Market;
3.) The North American Legal Tech Artificial Intelligence Market;
4.) The European Legal Tech Artificial Intelligence Market;
5.) Market entry and investment feasibility;
6.) The report conclusion.
Key questions answered in the report include:
What are the market dynamics?
What are the key market trends?
What are the category growth drivers?
What are the constraints on category growth?
Who are the suppliers in this market?
What are the demand-supply shifts?
What are the major category requirements?
What are the procurement best practices in this market?
Trending factors influencing the market shares of the Americas, APAC, Europe, and MEA.
All the research report is made by using two techniques that are Primary and secondary research. There are various dynamic features of the business, like client need and feedback from the customers. Before (company name) curate any report, it has studied in-depth from all dynamic aspects such as industrial structure, application, classification, and definition.
The report focuses on some very essential points and gives a piece of full information about Revenue, production, price, and market share.
Legal Tech Artificial Intelligence report will enlist all sections and research for each and every point without showing any indeterminate of the company.
Reasons for Buying this Report
This report provides pin-point analysis for changing competitive dynamics
It provides a forward looking perspective on different factors driving or restraining market growth
It provides a six-year forecast assessed on the basis of how the market is predicted to grow
It helps in understanding the key product segments and their future
It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors
It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments
TABLE OF CONTENT:
Legal Tech Artificial Intelligence Global Market Research Report 2020
1 Market Overview
2 Manufacturers Profiles
3 Global Legal Tech Artificial Intelligence Sales, Revenue, Market Share and Competition by Manufacturer
4 Global Legal Tech Artificial Intelligence Market Analysis by Regions
5 North America Legal Tech Artificial Intelligence by Country
6 Europe Legal Tech Artificial Intelligence by Country
7 Asia-Pacific Legal Tech Artificial Intelligence by Country
8 South America Legal Tech Artificial Intelligence by Country
9 Middle East and Africa Legal Tech Artificial Intelligence by Countries
10 Global Legal Tech Artificial Intelligence Market Segment by Type
11 Global Legal Tech Artificial Intelligence Market Segment by Application
12 Fourth Legal Tech Artificial Intelligence Market Forecast (2020-2027)
13 Sales Channel, Distributors, Traders and Dealers
14 Research Findings and Conclusion
15 Appendix
Get sample copy of Legal Tech Artificial Intelligence Market [email protected] https://www.reportsandmarkets.com/sample-request/global-uk-legal-tech-artificial-intelligence-market-forecast-2019-2026?utm_source=SatPR&utm_medium=34
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Marvelous Demand of Legal Tech Artificial Intelligence Market in Globally to 2027
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Marvelous Demand Legal Tech Artificial Intelligence Market Globally 2027 Top Key Players: Apple, Xiaomi, OnePlus, Vivo, Huawei Nyse News Times Skip content Friday, February 28, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Industry Analysis Industry Reports Market Analysis Market Outlook Market Research Marvelous Demand Legal Tech Artificial Intelligence Market Globally 2027 Top Key Players: Apple, Xiaomi, OnePlus, Vivo, Huawei [emailprotected] February 28, 2020 No Comments Legal Tech Artificial IntelligenceLegal Tech Artificial Intelligence forecastLegal Tech Artificial Intelligence industryLegal Tech Artificial Intelligence marketLegal Tech Artificial Intelligence priceLegal Tech Artificial Intelligence shareLegal Tech Artificial Intelligence trends Astonishing Growth Of Legal Tech Artificial Intelligence Market 2020 Latest Trends, Demand, Growth, Opportunities Outlook Till 2027 The Analysis report titled Legal Tech Artificial Intelligence Market 2027 highly demonstrates current Legal Tech Artificial Intelligence market analysis scenario, impending future opportunities, revenue growth, pricing profitability industry. The report provides basic overview industry including definitions classifications. The Legal Tech Artificial Intelligence analysis provided international markets including development trends, competitive landscape analysis, key regions development status. The report discusses types solutions Legal Tech Artificial Intelligence Market. While regions considered scope report include North America, Europe, others. The study emphasizes rising Legal Tech Artificial Intelligence threats changing market scenario. Some key players operating market include: ROSS Intelligence, Lex Machina, Casetext , LawGeex, Fiscal Note Get sample copy Legal Tech Artificial Intelligence Market [emailprotected] The detailed report provides major key regions crucial elements market. Global Legal Tech Artificial Intelligence Market, By Region are: North America, China, Europe, AsiaPacific, Japan, India, Rest Worlds Legal Tech Artificial Intelligence Market Research Report 2020 carries indepth case studies countries involved Legal Tech Artificial Intelligence market. The report segmented according usage applicable report offers information major countries associations. It offers analysis technical barriers, issues, costeffectiveness affecting market. Important contents analyzed discussed report include market size, operation situation, current future development trends market, market segments, business development, consumption tendencies. Moreover, report includes list major companiescompetitors competition data helps user determine current position market corrective measures maintain increase share holds. The report includes parts, dealing with: 1. Basic information; 2. The Asia Legal Tech Artificial Intelligence Market; 3. The North American Legal Tech Artificial Intelligence Market; 4. The European Legal Tech Artificial Intelligence Market; 5. Market entry investment feasibility; 6. The report conclusion. Key questions answered report include: What market dynamics? What key market trends? What category growth drivers? What constraints category growth? Who suppliers market? What demandsupply shifts? What major category requirements? What procurement best practices market? Trending factors influencing market shares Americas, APAC, Europe, MEA. All research report techniques Primary secondary research. There dynamic features business, like client need feedback customers. Before company curate report, studied indepth dynamic aspects industrial structure, application, classification, definition. The report focuses essential points gives piece information Revenue, production, price, market share. Legal Tech Artificial Intelligence report enlist sections research point showing indeterminate company. Reasons Buying Report This report provides pinpoint analysis changing competitive dynamics It provides forward looking perspective different factors driving restraining market growth It provides sixyear forecast assessed basis market predicted grow It helps understanding key product segments future It provides pin point analysis changing competition dynamics keeps ahead competitors It helps making informed business decisions complete insights market making indepth analysis market segments TABLE OF CONTENT: Legal Tech Artificial Intelligence Global Market Research Report 2020 1 Market Overview 2 Manufacturers Profiles 3 Global Legal Tech Artificial Intelligence Sales, Revenue, Market Share Competition Manufacturer 4 Global Legal Tech Artificial Intelligence Market Analysis Regions 5 North America Legal Tech Artificial Intelligence Country 6 Europe Legal Tech Artificial Intelligence Country 7 AsiaPacific Legal Tech Artificial Intelligence Country 8 South America Legal Tech Artificial Intelligence Country 9 Middle East Africa Legal Tech Artificial Intelligence Countries 10 Global Legal Tech Artificial Intelligence Market Segment Type 11 Global Legal Tech Artificial Intelligence Market Segment Application 12 Fourth Legal Tech Artificial Intelligence Market Forecast 20202027 13 Sales Channel, Distributors, Traders Dealers 14 Research Findings Conclusion 15 Appendix Get sample copy Legal Tech Artificial Intelligence Market [emailprotected] : Reports And Markets Algoro Research Consultants Pvt. Ltd. offers premium progressive statistical surveying, market research reports, analysis forecast data industries governments globe. Are mastering market? Do know market potential product, market players growth forecast is? We offer standard global, regional country specific market research studies market imagine. Us: Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Global Virtual Machine Backup Recovery Market Witness Promising Growth Opportunities During 20202024 Top Leading Players Veeam Software Switzerland, Veritas Technologies LLC US, VMware US, Microsoft Corporation US, Commvault Systems US, Acronis International GmbH Switzerland, IBM Corporation US, Vembu Technologies India, Rackspace . US, Quest Software . US, MSP 360 US, Micro Focus UK, Storix US, Cisco System US, NetJapan . Japan, etcNext Next post: Latest Research Law Enforcement Robot Market 2019: Comprehensive key players: DJI, Endeavor Robotics, General Dynamics, Google Boston Dynamics, GoPro, Kairos Autonami Recent Posts Pool Alarms Industry: 2020 Global Market Size, Share, Trends, Growth Analysis, Regional Outlook 2025 Demand Forecast Report Nurse Call System Market : Technological Growth Map Impact Analysis 2027 Key Companies Ackermann, Arigmed, Ascom, Cornell Web Hosting Providers Market 2020 Outlook Forecasts 2026 Top Manufacturers, Production, Consumption, Trade Statistics, Growth Analysis Hybrid Fiber Optic Connector Market Is Booming Worldwide To reach USD 1.17 billion 2025 Tenonometers Market: Poised Expand Robust Pace 2027 Key Companies Accutome, BioResonator Good Eye, Briot USA Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. 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https://original.newsbreak.com/@alpha-tango-1602683/2894832208355-getty-images-is-suing-stability-ai-for-copyright-infringement
| 2023-01-23T00:00:00 |
en
|
Getty Images is suing Stability AI for copyright infringement. | Alpha Tango | NewsBreak Original
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Getty Images is suing Stability AI for copyright infringement. | Alpha Tango | NewsBreak OriginalAlpha TangoSign inNewsBreak OriginalBecome a contributorFollowing ContributorsGo to newsbreak.com Alpha TangoNewsBreak ContributorSports, Technology, Politics, Business, Pets, Automotive, Opinion Editorials,Louisville, KY332 followersFollowon NewsBreakGetty Images is suing Stability AI for copyright infringement.Alpha Tango4 days agoComputerPhoto byLuca BravoonUnsplashThe stock photo agency behemoth, Getty Images has filed a lawsuit against Stability AI for copyright infringement. The company released a press statement on Tuesday,It is Getty Images’ position that Stability AI unlawfully copied and processed millions of images protected by copyright and the associated metadata owned or represented by Getty Images absent a license to benefit Stability AI’s commercial interests and to the detriment of the content creators, The lawsuit reportedly includes things like copyright violations, and web scraping tactics. It is however notable, the company (Getty) wants to establish a precedent that is favorable to them, instead of seeking punitive financial damages in a civil court. The Getty image database has already banned Artificial Intelligence created works from being utilized on their system.Tools like Stable Diffusion, the product of the company Getty is suing, use huge databases of images. And they use AI algorithms to artificially create images based on information pulled from real images. In many cases, the AI has gotten smart enough to produce artificial images that are not distinguishable from real ones. Especially in the eyes of average, regular, everyday people. AI and artificial images, deepfake videos, and the like have been a rising trend particularly during and after the COVID-19 pandemic.That is the reason Getty’s massive collection of millions of images is currently so tasty to these AI programs. A study concluded that a considerable percentage of Stable Diffusion's data was more than likely taken right from the Getty Images site. The art tool repeatedly copied the Getty watermark in its fake images. And Getty is not having it.What do you think about AI generated media, and Getty's reaction to the situation?Expand Read full story in "NewsBreak" App# Technology# AI# Getty Images# Media# DeepfakesComments / 0See allWhat are your thoughts?PostCommunity PolicyPublished byAlpha TangoSports, Technology, Politics, Business, Pets, Automotive, Opinion Editorials,Louisville, KY332 followersFollowon NewsBreakMore from Alpha Tango1 day agoGold and Silver predicted to spike in value, as US hits debt limit and dollar weakens.Continuing high inflation plus the rising risk the federal government could default on its loans; will likely prompt commodities traders on Wall Street to buy up more precious metals contracts in 2023.Read full story 4 commentsShare2 days agoTrump tells GOP don't touch Social Security & Medicare during debt ceiling fight.2024 GOP presidential candidate, former President Donald Trump sternly laid out a message to House GOP members. He told them do not touch Social Security nor Medicare entitlements programs, as part of the ongoing debt limit faceoff with the Biden White House.Read full story 4 commentsShareConnecticut State2 days agoBill proposed in Connecticut legislature allows 12-year-olds to be vaccinated without parental consent.Democrats within the Connecticut state legislature have proposed a new state law, allowing children to make their own decisions on vaccinations at age 12. Many Connecticut parents are pushing against the proposed legislation, of which their children could get jabbed with vaccinations, without parental consent.Read full story 31 commentsShare3 days agoFederal Government reaches debt ceiling limit. Showdown between House GOP and the White House looms.On Thursday the Treasury Department announced that the country has hit the $31.4 trillion dollar debt limit, and that emergency measures are underway. Now it must be decided what of America's bills to pay and which to not pay at this time.Read full story 43 commentsShare3 days agoA different twist on the doughnut and bacon cheeseburger, a recipe you can make at home. Today I highlight a recipe for the Luther Burger. The Luther Burger is reportedly named after award winning singer the late Luther Vandross, the initial recorded mention of the sandwich was on an episode of "The Boondocks" in 2006. It is a bacon cheddar cheeseburger on a pan-seared glazed donut as the bun.Read full story 2 commentsShareFlorida State4 days agoTrump dominates over DeSantis in a potential GOP primary, a new poll finds.Florida governor Ron DeSantis, fresh off his re-election victory, has emerged as a top contender for the 2024 GOP presidential nomination. Republican donors, strategists, and lawmakers have been cautioning the governor there is still much work for him to do.Read full story 53 commentsShare4 days agoHunter Biden is target of at least two House of Representatives committee probes.The newly installed Republican majority House of Representatives, and Speaker Kevin McCarthy, are eyeing Hunter Biden. Mr. Biden, 52, is the younger son of President of the United States Joe Biden, 80. Mr. Biden (the son) has a very public history of controversies involving a struggle with substance abuse and significant legal issues.Read full story 61 commentsSharePensacola, FL4 days agoTodd & Julie Chrisley have now reported to federal prison. In two different states.Alex Little, attorney for embattled reality stars Todd and Julie Chrisley has announced the couple has now been taken into federal custody. The Mr. Chrisley, 53, will serve 12 years at FPC Pensacola, state of Florida. It is a minimum-security federal facility. The Mrs. Chrisley, 49, will serve 7 years at FMC Lexington, in the commonwealth of Kentucky.Read full story 11 commentsShareDallas, TX5 days agoCowboys kicker misses record 4 extra points. What's next for the kicker? The kicker for "America's Team", made a new NFL record in missed extra points. By one kicker. In one game. Four misses by Brett Maher. Shortly after the 3rd missed kick by Maher, Dallas quarterback Dak Prescott is on video cursing at the air and slamming his helmet to the astroturf. In the 3rd quarter, Maher missed the 4th. Jerry Jones, 80, longtime owner/president/general manager of the Cowboys organization, can be seen in his luxury box gesturing and commenting. When Maher finally made his 5th attempt, Jones and his entourage were seen smiling and shaking hands.Read full story ShareKentucky State5 days agoBourbon and coffee unite! The Revolver cocktail. A pro mixologist's recipe you can do at home.Kentucky bourbon has enjoyed an international resurgence in the past decade. Whisky aficionados from East Europe to Asia, and South America have paid a great deal more attention. Revenue is way up. And several KY based bourbon distillers have struggled to keep up with record demand. Lately, tequila has been going very strong, particularly in North America. Bourbon still remains a big contender. (According to ISWR)Read full story 3 commentsShare5 days agoBiden takes aim at 2nd amendment supporters: "You need an F-15 plane to take on the government, not an AR-15"President Biden was the keynote speaker at Al Sharpton's National Action Network on Monday. The occasion was the Martin Luther King holiday. Mr. Sharpton's organization has a yearly breakfast in remembrance of MLK's life, and legacy.Read full story 1613 commentsShareMaine State5 days agoAre lotteries a scam? Some expert advocates think so. Here's what they're saying.Last Friday night, the Mega Millions jackpot was won on one single ticket in Maine. $1.348 billion. This was the second biggest in Mega Millions history. In recent years, the trend has been toward larger billion dollar plus jackpots much more often.Read full story 2 commentsShareAboutCreatorsWrite a comment...Comments / 0Community Policy
|
Getty Images is suing Stability AI for copyright infringement.
|
Getty Images suing Stability AI copyright infringement. Alpha Tango NewsBreak OriginalAlpha TangoSign inNewsBreak OriginalBecome contributorFollowing ContributorsGo Alpha TangoNewsBreak ContributorSports, Technology, Politics, Business, Pets, Automotive, Opinion Editorials,Louisville, KY332 followersFollowon NewsBreakGetty Images suing Stability AI copyright infringement.Alpha Tango4 days agoComputerPhoto byLuca BravoonUnsplashThe stock photo agency behemoth, Getty Images filed lawsuit Stability AI copyright infringement. The company released press statement Tuesday,It Getty Images position Stability AI unlawfully copied processed millions images protected copyright associated metadata owned represented Getty Images absent license benefit Stability AIs commercial interests detriment content creators, The lawsuit reportedly includes things like copyright violations, web scraping tactics. It notable, company Getty wants establish precedent favorable them, instead seeking punitive financial damages civil court. The Getty image database banned Artificial Intelligence created works utilized system.Tools like Stable Diffusion, product company Getty suing, use huge databases images. And use AI algorithms artificially create images based information pulled real images. In cases, AI gotten smart produce artificial images distinguishable real ones. Especially eyes average, regular, everyday people. AI artificial images, deepfake videos, like rising trend particularly COVID19 pandemic.That reason Gettys massive collection millions images currently tasty AI programs. A study concluded considerable percentage Stable Diffusions data likely taken right Getty Images site. The art tool repeatedly copied Getty watermark fake images. And Getty it.What think AI generated media, Gettys reaction situation?Expand Read story NewsBreak App Technology AI Getty Images Media DeepfakesComments 0See allWhat thoughts?PostCommunity PolicyPublished byAlpha TangoSports, Technology, Politics, Business, Pets, Automotive, Opinion Editorials,Louisville, KY332 followersFollowon NewsBreakMore Alpha Tango1 day agoGold Silver predicted spike value, US hits debt limit dollar weakens.Continuing high inflation plus rising risk federal government default loans; likely prompt commodities traders Wall Street buy precious metals contracts 2023.Read story 4 commentsShare2 days agoTrump tells GOP dont touch Social Security Medicare debt ceiling fight.2024 GOP presidential candidate, President Donald Trump sternly laid message House GOP members. He told touch Social Security Medicare entitlements programs, ongoing debt limit faceoff Biden White House.Read story 4 commentsShareConnecticut State2 days agoBill proposed Connecticut legislature allows 12yearolds vaccinated parental consent.Democrats Connecticut state legislature proposed new state law, allowing children decisions vaccinations age 12. Many Connecticut parents pushing proposed legislation, children jabbed vaccinations, parental consent.Read story 31 commentsShare3 days agoFederal Government reaches debt ceiling limit. Showdown House GOP White House looms.On Thursday Treasury Department announced country hit 31.4 trillion dollar debt limit, emergency measures underway. Now decided Americas bills pay pay time.Read story 43 commentsShare3 days agoA different twist doughnut bacon cheeseburger, recipe home. Today I highlight recipe Luther Burger. The Luther Burger reportedly named award winning singer late Luther Vandross, initial recorded mention sandwich episode The Boondocks 2006. It bacon cheddar cheeseburger panseared glazed donut bun.Read story 2 commentsShareFlorida State4 days agoTrump dominates DeSantis potential GOP primary, new poll finds.Florida governor Ron DeSantis, fresh reelection victory, emerged contender 2024 GOP presidential nomination. Republican donors, strategists, lawmakers cautioning governor work do.Read story 53 commentsShare4 days agoHunter Biden target House Representatives committee probes.The newly installed Republican majority House Representatives, Speaker Kevin McCarthy, eyeing Hunter Biden. Mr. Biden, 52, younger son President United States Joe Biden, 80. Mr. Biden son public history controversies involving struggle substance abuse significant legal issues.Read story 61 commentsSharePensacola, FL4 days agoTodd Julie Chrisley reported federal prison. In different states.Alex Little, attorney embattled reality stars Todd Julie Chrisley announced couple taken federal custody. The Mr. Chrisley, 53, serve 12 years FPC Pensacola, state Florida. It minimumsecurity federal facility. The Mrs. Chrisley, 49, serve 7 years FMC Lexington, commonwealth Kentucky.Read story 11 commentsShareDallas, TX5 days agoCowboys kicker misses record 4 extra points. Whats kicker? The kicker Americas Team, new NFL record missed extra points. By kicker. In game. Four misses Brett Maher. Shortly 3rd missed kick Maher, Dallas quarterback Dak Prescott video cursing air slamming helmet astroturf. In 3rd quarter, Maher missed 4th. Jerry Jones, 80, longtime ownerpresidentgeneral manager Cowboys organization, seen luxury box gesturing commenting. When Maher finally 5th attempt, Jones entourage seen smiling shaking hands.Read story ShareKentucky State5 days agoBourbon coffee unite The Revolver cocktail. A pro mixologists recipe home.Kentucky bourbon enjoyed international resurgence past decade. Whisky aficionados East Europe Asia, South America paid great deal attention. Revenue way up. And KY based bourbon distillers struggled record demand. Lately, tequila going strong, particularly North America. Bourbon remains big contender. According ISWRRead story 3 commentsShare5 days agoBiden takes aim 2nd amendment supporters: You need F15 plane government, AR15President Biden keynote speaker Al Sharptons National Action Network Monday. The occasion Martin Luther King holiday. Mr. Sharptons organization yearly breakfast remembrance MLKs life, legacy.Read story 1613 commentsShareMaine State5 days agoAre lotteries scam? Some expert advocates think so. Heres theyre saying.Last Friday night, Mega Millions jackpot single ticket Maine. 1.348 billion. This second biggest Mega Millions history. In recent years, trend larger billion dollar plus jackpots often.Read story 2 commentsShareAboutCreatorsWrite comment...Comments 0Community Policy
| 2,023 |
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] | 1 | 5,076 |
https://ottawa.ctvnews.ca/using-ai-to-ease-demand-on-power-supply-while-charging-electric-vehicles-1.5862941
| 2022-04-15T00:00:00 |
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Using AI to ease demand on power supply while charging electric vehicles | CTV News
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Using AI to ease demand on power supply while charging electric vehicles | CTV News
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Ottawa
Using AI to ease demand on power supply while charging electric vehicles
As more consumers turn to electric vehicles, they will need to be charged and it is likely that will happen at home. But the potential for deep-draws of power could possibly overload the grid.
On Thursday, Hydro Ottawa announced it is taking part in a new pilot project to look at how artificial intelligence technology can help reduce demand during peak consumption times.
BlueWave-AI has created software that can determine the best time to charge cars and be used to activate chargers when the time is ideal.
“Each EV creates a certain load from the grid and the grid only has so much capacity. We want to sequence the charging in an appropriate way so that the grid does not get constrained,” says BlueWave-AI founder and CEO Devashish Paul. "You can use artificial intelligence to space out when these cars are changed; predict, detect, optimize and control the charging of the EV’s at the right time. It also corresponds to when there is more renewable energy in the grid, when there is more wind and solar it’s cheaper so everyone wins."
Paul says the program would aim to incentivize consumers to use the technology; however, it can also be customizable. For instance, is a family is planning to leave earlier than usual? The software can be told to charge at different times.
Currently in Ontario, there are about 75,000 electric vehicles on the road, and that number is expected to jump significantly over the next few years. Looking forward, there is also the potential to use the batteries inside of electric vehicles that are plugged into the grid, to help offset load requirements when demand is high.
"What we are trying to do is understand how to efficiently use these rolling batteries to not only draw from the grid but potentially provide the grid with the energy that they store," says Lesley Gallinger, President and CEO of Independent Electricity System Operators.
"If we can understand how to control this load and how to potentially dispatch it to offset other drain on the grid, it could potentially defer the need to build electricity infrastructure it could also possibly have customers supply the grid and being paid for that supply."
Raymond Leury, president of the Electric Vehicle Council of Ottawa, has owned electric cars for nearly a decade and says the pilot project with Hydro Ottawa is a step in the right direction.
"I charge my vehicles at night when the rates are lower but also when the electricity is cleaner," says Leury. "We happen to have an excess of energy at night in Ontario and it would be ideal for us to leverage that to charge EVs. So by using electricity that is produced at night when there is ample excess, it’s lower cost electricity and it should eventually lower the cost of electricity for everybody.”
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Using AI to ease demand on power supply while charging electric vehicles
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Using AI ease demand power supply charging electric vehicles CTV News Skip main content Live CTV Ottawa Close OTTAWA CTV Ottawa Close News Latest All Articles Weather Gas Prices Contests Photo Galleries Recipes Traffic Pop Quiz Weekenders Community Calendar Around Region Kingston News Brockville News Pembroke News Video Latest All Video Weather The Questions Dean Brown Marnies Market Updates Regional CTV News Live Video Help Shows News Programs CTV Morning Live CTV News Noon CTV News Five CTV News Six CTV News 11:30 About Who We Are Advertise Us Us Personalities Email Alerts Social Facebook Twitter Instagram TikTok Local Other Cities Atlantic Barrie Calgary Edmonton Guelph Kitchener Lethbridge London Montreal Northern Ontario Ottawa Prince Albert Red Deer Regina Saskatoon Toronto Vancouver Vancouver Island Windsor Winnipeg Ottawa Using AI ease demand power supply charging electric vehicles As consumers turn electric vehicles, need charged likely happen home. But potential deepdraws power possibly overload grid. On Thursday, Hydro Ottawa announced taking new pilot project look artificial intelligence technology help reduce demand peak consumption times. BlueWaveAI created software determine best time charge cars activate chargers time ideal. Each EV creates certain load grid grid capacity. We want sequence charging appropriate way grid constrained, says BlueWaveAI founder CEO Devashish Paul. You use artificial intelligence space cars changed; predict, detect, optimize control charging EVs right time. It corresponds renewable energy grid, wind solar cheaper wins. Paul says program aim incentivize consumers use technology; however, customizable. For instance, family planning leave earlier usual? The software told charge different times. Currently Ontario, 75,000 electric vehicles road, number expected jump significantly years. Looking forward, potential use batteries inside electric vehicles plugged grid, help offset load requirements demand high. What trying understand efficiently use rolling batteries draw grid potentially provide grid energy store, says Lesley Gallinger, President CEO Independent Electricity System Operators. If understand control load potentially dispatch offset drain grid, potentially defer need build electricity infrastructure possibly customers supply grid paid supply. Raymond Leury, president Electric Vehicle Council Ottawa, owned electric cars nearly decade says pilot project Hydro Ottawa step right direction. I charge vehicles night rates lower electricity cleaner, says Leury. Wehappen excess energy night Ontarioand ideal leverage charge EVs. So electricity produced night ample excess, lower cost electricity eventually lower cost electricity everybody. Ottawa Top Stories City Ottawa makes 558,000 fraudulent transaction, treasurer says Montfort Hospital postponing nonemergency procedures COVID19 cases Stay cautious: Ontario says sixth wave peaked ahead long weekend Heres whats open closed Ottawa Easter weekend Ottawa men charged trafficking women sevenyear period Pat Kings bail review halted lawyers hacked, new charges laid Ottawa COVID19 wastewater signal decreases time weeks Driver arrested impaired driving pickup truck drives parked car western Quebec CTVNews.ca Top Stories Russian disinformation campaign includes doctored images CAF members lines Ukraine: CSE Russia targeting Canadian military disinformation campaign Ukraine war, sharing doctored photos troops engaged combat, says Communications Security Establishment CSE. CTV NEWS IN UKRAINE CTV NEWS IN UKRAINE It completely destroyed area: Pieces downed Russian jet seen Chernihiv More month Ukrainian forces shot Russian jet northeastern city Chernihiv, pieces plane ensuing wreckage visible recentlyliberated corner Ukraine. Omicron XE: What know new subvariant Health officials tracking new Omicron subvariant, classified XE, hybrid previously identified subvariants. CTVNews.ca looks know far XE subvariant. Prince Harry Meghan visit Queen Elizabeth II Prince Harry wife, Meghan, facetoface meeting Queen Elizabeth II Thursday, spokesperson said The Sun newspaper reported visit. First COVID19 test breath samples authorized U.S. FDA The COVID19 diagnostic test, identifies chemical components breath samples unique coronavirus, received emergency use permission U.S. Food Drug Administration FDA Thursday. Pat Kings bail review halted lawyers hacked, new charges laid Ottawa convoy organizer Pat King facing new charges, day bail review hearing came abrupt unexpected halt Wednesday lawyers appeared hacked. Mountie recalls killer looked aimed pistol end N.S. ram A Nova Scotia Mountie testified single glance bloodied driver Mazda hatchback final confirmation mass killer lined pistol sights. Ukrainian mother writes name, contact daughters back, safe France A Ukrainian mother wrote contact details daughters beginning Russias invasion Ukraine confirmed safe. Younger Canadians saw rise mortality pandemic evolved: StatCan Provisional data Statistics Canada shows excess mortality rates younger Canadians rose COVID19 pandemic wore on. Atlantic Girl, 13, dies injuries incident involving school bus New Brunswick A 13yearold girl injured incident involving school bus Dorchester, N.B., Tuesday died injuries. Mountie recalls killer looked aimed pistol end N.S. ram A Nova Scotia Mountie testified single glance bloodied driver Mazda hatchback final confirmation mass killer lined pistol sights. Person Hillandale shooting considered armed dangerous: N.B. RCMP The RCMP looking man says armed dangerous man seriously injured shooting Hillandale, N.B., Thursday morning. Toronto New Ontario modelling suggests COVID19 hospitalizations likely surpass 3,000 May Community transmission COVID19 peaked new modelling Ontarios science table warning hospital occupancy likely continue rise time approach levels experienced height fifth wave pandemic past winter. Ontario doctor defends decision wear mask news conference international travel Ontarios health official brushing aside criticism decision unmasked press conference following return personal trip country. Bodies 10 puppies plastic bags left Toronto parking lot, police Toronto police investigating bodies 10 puppies parking lot Scarborough Thursday morning. Montreal Quebec COVID19 hospitalizations rise highest February There 2,154 people hospital COVID19 Quebec, according public health, 96 intensive care. Committee rejects Liberal proposal require 5 French courses English CEGEPs A proposal Quebec Liberals mandate students Englishlanguage CEGEPs French courses instead partys original idea core French courses swiftly rejected Thursday. Calls better pedestrian safety follow death 12yearold girl Longueuil Friends family members 12year old girl died collision bus Wednesday Montreals South Shore revisited site tragic crash Thursday, console victims devastated mother. Northern Ontario Timmins police 360K drug bust, suspects arrested A Timmins police investigation violent break enter early April turned anticipated, leading drug bust totalling 360,000 illicit drugs. Changes needed prevent Laurentian fiasco, auditor says More oversight commitment transparency long way preventing financial meltdown like Laurentian University. OPP identify victim fatal Hwy. 11 crash Temiskaming Shores Ontario Provincial Police Temiskaming Shores identified victim April 7 collision Highway 11 Highway 65 Temiskaming Shores. London Victim fatal crash near Alma teacher local school The Upper Grand District School Board UGDSB confirmed victim deadly crash passenger vehicle school bus near Alma Wednesday teacher Alma Public School. Son controversial Aylmer pastor guilty The son controversial Aylmer Pastor Henry Hildebrandt man guilty obstruction relation December 2020 incident Church God. London man affiliation Hells Angels pleads guilty A 50yearold London, Ont. man affiliations Hells Angels Motorcycle Club pleaded guilty drug trafficking Thursday. Winnipeg Here snow fallen far Manitoba blizzard The storm isnt yet, preliminary snowfall numbers books Manitoba Manitobans mortgages likely going rising rates For Manitobans, mortgages likely going rising rates. Beginning Passover, Easter gatherings impacted Manitoba spring storm The spring storm forcing rethink plans start Passover Easter long weekend. Kitchener Victim fatal crash near Alma teacher local school The Upper Grand District School Board UGDSB confirmed victim deadly crash passenger vehicle school bus near Alma Wednesday teacher Alma Public School. WRPS Chief Bryan Larkin retiring highranking RCMP position Waterloo Regional Police Chief Bryan Larkin retiring service nearly years position, end career policing. A chaos: Waterloo region teachers unions want mask mandate schools While University Waterloo extends mask mandate, local teachers unions parents pushing elementary high schools Waterloo region. Calgary Calgary police officers wont face discipline wearing blue line patch Calgary Police Service members continue wear blue line patch duty wont punished Police Commission police associations discuss allowed. Violating privacy: Former Alberta justice minister contract fixer Former Alberta justice minister Jonathan Denis told newspaper columnist contract political fixer denies asked reporters phone logs trace sources story. Second suspect charged connection fatal Douglasdale The Calgary Police Service confirms second person apprehended ongoing investigation southeast neighbourhood left man dead. Saskatoon Sask. health official says hospitals bursting seams, time mask A senior health official urging voluntary mask use precautions hospitals Saskatoon Regina continue up. Sask. woman, 63, charged defrauding 11 people, seniors Saskatoon RCMP charged 63yearold woman fraud theft 5,000 16month investigation. Saskatoon SPCA gets funding increase, organization says needs During weeks planning committee meeting, city councillors voted increase funding Saskatoon SPCA organization says enough. Edmonton 2 men charged separate firearm seizures Edmonton restaurant, bar Two men facing charges police seized firearms separate restaurants bars year, Edmonton Police Service said Thursday. Man injured Whitemud Drive crash driving high rates speed: EPS A 22yearold man sustained lifethreatening injuries crashing rolling car Whitemud Drive Wednesday night. Employee shot armed robbery Fort Saskatchewan hotel A hotel employee shot robbery Fort Saskatchewan, Alta., Wednesday night. Vancouver Hospitalizations up, ICU admissions B.C.s latest update COVID19 data There currently 364 people hospital COVID19 British Columbia, according B.C. Centre Disease Controls weekly update pandemic statistics. Man stabbed hypodermic needle Downtown Eastside, Vancouver police Vancouver police investigating man reportedly stabbed hypodermic needle citys Downtown Eastside neighbourhood earlier week. Kids exposed suspicious substance possibly hot sauce Port Moody playground, police Authorities investigating smeared suspicious substance possibly hot sauce elementary school playground Port Moody. Regina MidApril storm causing issues Sask. roads, city activates snow routes The Colorado low led blizzard conditions southeast Saskatchewan brought winter Regina. Sask. health official says hospitals bursting seams, time mask A senior health official urging voluntary mask use precautions hospitals Saskatoon Regina continue up. Sask. ombudsman performs longterm care investigations 2021 annual report The Saskatchewan ombudsman highlighting holes provinces longterm care LTC annual report. CTV News Advertise CTVNews.ca Political Ads Registry About CTV Careers CTV News Stox Press Room Editorial Standards Policies Us CTV News Programs CTV National News Power Play W5 CTV Question Period Pop Life Local News Atlantic Barrie Calgary Edmonton Guelph Kitchener Lethbridge London Montreal Northern Ontario Ottawa Prince Albert Red Deer Regina Saskatoon Toronto Vancouver Vancouver Island Windsor Winnipeg Yorkton CTV News App Video Help Stay date latest, breaking news newsletter 2022 . Use Website assumes acceptance Terms Conditions
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Adobe doubles down on AI with new features in Photoshop - Photofocus
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Adobe doubles down on AI with new features in Photoshop - Photofocus
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Adobe, Software
Adobe doubles down on AI with new features in Photoshop
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This morning, as a part of the Adobe MAX updates, Adobe announced new versions of Photoshop for desktop and iPad. The company also brought a version of Photoshop to the web, enabling anyone to access and share Photoshop documents from anywhere, and comment on them.
Here’s what’s new for photographers; you can read the entire announcement here.
Photoshop on desktop
Hover Auto-masking Object Selection tool
The Object Selection tool has been significantly improved. Now you can just hover over an object you want to select in the image, and a single click will select it. Additionally, selections made are now more accurate and preserve more details in the edges of the selection.
The tool can detect most objects within an image, but not all (yet). Adobe is constantly improving its Sensei AI machine learning models to recognize additional categories of objects. If objects are not detected or only partially detected, you can click and drag a marquee over any of the areas you’d like to select.
One-click Mask All Objects in a Layer
In the Layer menu, you can now use the Mask All Objects option to easily generate masks for all the objects detected within your layer.
New Neural Filters
Adobe has built upon its Neural Filters feature, originally released last year. Today there are three new beta filters available — Landscape Mixer, Color Transfer and Harmonization.
Additionally, the Depth Blur Filter has received a new machine learning model that applies a more natural blurred background, and keeps the subject more in focus. The Superzoom Filter now operates on the entire image, and the Style Transfer Filter has been retrained to apply a more painterly, artistic effect.
Finally, the Colorize Filter sees another update, allowing you to bring your black and white images to life with more vibrant, natural colors.
Landscape Mixer
Landscape Mixer (beta) allows you to create entirely new scenes, concept art or whimsical scenes in just moments by combining any two landscape images together.
Adjust the season of a scene by creating winterscape from a sunny summer day, or change the leaves on trees from summery green to autumn colors. Alter the time of day of a landscape by giving your mid-day photo a golden-hour sunset.
And if you have people or other subjects in your scene, those can be automatically masked and harmonized with the new scene you create.
Color Transfer
Quickly make the color of one image look like a reference image by transferring the color from the reference to the original. Color Transfer takes the color palette of an image and makes it easy to apply it to a different image. This is a major timesaver for a very common workflow (make this image look like that) and will provide a great starting point to get you closer to the look you’re going for.
Harmonize
Match the color and tone of an element on one layer to another layer using the machine learning magic of Adobe Sensei. The Harmonization Neural Filter saves time creating flawless, realistic composites by intelligently adjusting the hue and luminosity for the look you want.
Improved color management and HDR capabilities
Photoshop now supports Apple’s Pro Display XDR to see your designs in full, high dynamic range. The newly released Macbook Pro 14 and 16-inch models now feature XDR displays in addition to the Apple Pro Display XDR. This helps you to see your colors with more richness: The blacks appear deeper, the whites appear brighter and all the colors in between appear more like they do in the natural world.
Additionally, Photoshop will display correctly to HDR-capable displays when connected properly.
Improved “Export As”
The Export As functionality that has been available on the Macintosh M1 machines is now the default on all desktop operating systems. This is faster than ever, and built upon a new set of export APIs. It allows for better color profile handling, new behavior when previewing layers, and a side-by-side comparison between export settings.
Share for commenting
Quickly share your work for review with clients and colleagues and receive their feedback within Photoshop in the new commenting panel on both the desktop and iPad versions. Your collaborators will receive a link to your document where they can access it on the Creative Cloud web site and leave comments, including adding pins and annotations. That information flows directly to you inside Photoshop so you can see and address the feedback in context.
Photoshop on iPad
Camera Raw file support
Photoshop on iPad brings support for Camera Raw. Now you can import and adjust your RAW photos from all of the supported cameras that Camera Raw supports.
This allows for adjustments of areas like Light, Color, Detail, Optics and more. You can also use auto adjustments and tap and hold on the canvas to show a before and after preview.
Finally, you can place your Camera Raw file as an embedded Smart Object, where you can open the cloud document on Photoshop on desktop and still access your RAW file and adjustments.
Smart Objects
Now you can convert layers into smart Objects so that transformations and filters stay non-destructive. Convert any layer, multiple layers, or layer groups into a Smart Object, allowing you to group and organize your layers together.
Smart Objects on iPad have the same properties as they do in Photoshop on desktop. You can perform actions, like transform non-destructively, without changing or losing your pixels. You can also convert any Smart Object back to its component layers.
Dodge and Burn
The Dodge and Burn tools come directly from Photoshop on desktop with all the options. Adjust range for shadows, midtones, brush roundness and angle.
Note that these tools, just like Photoshop on desktop, work directly on your pixels. There are many non-destructive ways to dodge and burn (curves adjustment layers, black/white layers with blend modes), but this is a very popular tool.
Share for commenting
Quickly share your designs with collaborators to view and give feedback. Save time by receiving and responding to comments without leaving Photoshop on iPad. This feature is also shipping today in Photoshop on desktop.
Photoshop on Web (beta)
You can now create and share links to PSD documents stored in the cloud, allowing you to co-edit. them with collaborators and share them for review on the web. All versions of Photoshop have a new commenting panel allowing you to read, create and respond to comments.
Additionally, Photoshop on Web lets you test some basic Photoshop editing features, including simple Layers, selection tools, masking and more.
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Photofocus Teamphotofocus.com
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October 26, 2021
Adobe MaxPhotoshop
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Adobe doubles down on AI with new features in Photoshop
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Adobe doubles AI new features Photoshop Photofocus Skip content REVIEWS Canon EOS R5 review: A nearperfect camera photographers Tamron 18300mm f3.56.3 Emount: A fast, sharp allinone APSC cameras Reflections: The Ruggard Rain Shield laughs Mother Natures face A beautiful, wellbuilt backdrop Kate Backdrop First impressions: Fujifilm Link Wide Smartphone Printer Get nature allinone APSC 18300mm lens Tamron Canon RF 35mm f1.8 IS Macro STM review: A good entrylevel lens Ricoh GR IIIx review: A GR III new glasses problems Live free dry hard: Ruggard 125L Dry Cabinet review Hold, hang MantisPod Pro A ThinkTAP company Facebook Twitter Instagram Flickr 500px Youtube Flipboard Soundcloud Apple Envelope Rss Photo Video Software Reviews Mobile Menu Photo Video Software Reviews Mobile COMMUNITY TIPS DEALS GET NEWS Adobe, Software Adobe doubles AI new features Photoshop Photofocus Team 0 Share friends: Leave comment This morning, Adobe MAX updates, Adobe announced new versions Photoshop desktop iPad. The company brought version Photoshop web, enabling access share Photoshop documents anywhere, comment them. Heres whats new photographers; read entire announcement here. Photoshop desktop Hover Automasking Object Selection tool The Object Selection tool significantly improved. Now hover object want select image, single click select it. Additionally, selections accurate preserve details edges selection. The tool detect objects image, yet. Adobe constantly improving Sensei AI machine learning models recognize additional categories objects. If objects detected partially detected, click drag marquee areas youd like select. Oneclick Mask All Objects Layer In Layer menu, use Mask All Objects option easily generate masks objects detected layer. New Neural Filters Adobe built Neural Filters feature, originally released year. Today new beta filters available Landscape Mixer, Color Transfer Harmonization. Additionally, Depth Blur Filter received new machine learning model applies natural blurred background, keeps subject focus. The Superzoom Filter operates entire image, Style Transfer Filter retrained apply painterly, artistic effect. Finally, Colorize Filter sees update, allowing bring black white images life vibrant, natural colors. Landscape Mixer Landscape Mixer beta allows create entirely new scenes, concept art whimsical scenes moments combining landscape images together. Adjust season scene creating winterscape sunny summer day, change leaves trees summery green autumn colors. Alter time day landscape giving midday photo goldenhour sunset. And people subjects scene, automatically masked harmonized new scene create. Color Transfer Quickly color image look like reference image transferring color reference original. Color Transfer takes color palette image makes easy apply different image. This major timesaver common workflow image look like provide great starting point closer look youre going for. Harmonize Match color tone element layer layer machine learning magic ofAdobe Sensei. The Harmonization Neural Filter saves time creating flawless, realistic composites intelligently adjusting hue luminosity look want. Improved color management HDR capabilities Photoshop supports Apples Pro Display XDR designs full, high dynamic range. The newly released Macbook Pro 14 16inch models feature XDR displays addition Apple Pro Display XDR. This helps colors richness: The blacks appear deeper, whites appear brighter colors appear like natural world. Additionally, Photoshop display correctly HDRcapable displays connected properly. Improved Export As The Export As functionality available Macintosh M1 machines default desktop operating systems. This faster ever, built new set export APIs. It allows better color profile handling, new behavior previewing layers, sidebyside comparison export settings. Share commenting Quickly share work review clients colleagues receive feedback Photoshop new commenting panel desktop iPad versions. Your collaborators receive link document access Creative Cloud web site leave comments, including adding pins annotations. That information flows directly inside Photoshop address feedback context. Photoshop iPad Camera Raw file support Photoshop iPad brings support Camera Raw. Now import adjust RAW photos supported cameras Camera Raw supports. This allows adjustments areas like Light, Color, Detail, Optics more. You use auto adjustments tap hold canvas preview. Finally, place Camera Raw file embedded Smart Object, open cloud document Photoshop desktop access RAW file adjustments. Smart Objects Now convert layers smart Objects transformations filters stay nondestructive. Convert layer, multiple layers, layer groups Smart Object, allowing group organize layers together. Smart Objects iPad properties Photoshop desktop. You perform actions, like transform nondestructively, changing losing pixels. You convert Smart Object component layers. Dodge Burn The Dodge Burn tools come directly Photoshop desktop options. Adjust range shadows, midtones, brush roundness angle. Note tools, like Photoshop desktop, work directly pixels. There nondestructive ways dodge burn curves adjustment layers, blackwhite layers blend modes, popular tool. Share commenting Quickly share designs collaborators view feedback. Save time receiving responding comments leaving Photoshop iPad. This feature shipping today Photoshop desktop. Photoshop Web beta You create share links PSD documents stored cloud, allowing coedit. collaborators share review web. All versions Photoshop new commenting panel allowing read, create respond comments. Additionally, Photoshop Web lets test basic Photoshop editing features, including simple Layers, selection tools, masking more. By shopping partners affiliates, help content Photofocus free. Click learn more. Photofocus Related topics October 26, 2021 Adobe MaxPhotoshop Leave comment Connect Notify new followup comments new replies comments Label [] Name Email Website Connect Label [] Name Email Website 0 Comments Inline Feedbacks View comments You like Masking selection tools highlight updates Lightroom Exclusive look: The new Camera Raw iPad Adobe MAX big keynote Dont miss Adobe MAX week free Have booked free ticket Adobe MAX? What hot pixels, remove them? Thanks partners Photofocus possible Excire Experience best photo organizer photo library discover photos color, subject people. Try new Excire Foto application, use Excire 2.0 plugin Lightroom Classic. Tamron Take photography level Tamrons lightweight highquality mirrorless lenses. Check new 18300mm, lens world APSC mirrorless cameras zoom ratio 16.6x 18300mm focal length. Fine Art America Fine Art America worlds largest art marketplace printondemand technology company, helping artists, photographers, graphics designers create sell printondemand products. Kate Backdrop Kate Backdrop offers highquality, elaborately beautiful backdrops help perfect photography decorate memories. Skylum Your photos, beautiful minutes. Makers Luminar Aurora HDR, Skylum adapts style skill level. Check LuminarAIs unique sky replacement portrait editing tools, available. Save 10 retail price Photofocus bundle free BH BH world renowned supplier gear photographers, videographers, cinematographers need want create best work. You like Masking selection tools highlight updates Lightroom Exclusive look: The new Camera Raw iPad Adobe MAX big keynote Get inbox Sign newsletter latest Photofocus delivered week. Email About Meet Our Team The Publisher Partner With Us Us Legal Menu About Meet Our Team The Publisher Partner With Us Us Legal About Meet Our Team The Publisher Partner With Us Us Legal Menu About Meet Our Team The Publisher Partner With Us Us Legal 2021, ThinkTAP. . participant Amazon Services LLC Associates Program. As Amazon Associate earn qualifying purchases. participant BH Photo KEH Camera affiliate programs. Posting....Insert PhotoVideoSoftwareReviewsMobileCommunity Facebooksquare Twitter Flipboard Instagram Flickr 500px Youtube Soundcloud Podcast Envelope InspirationDronesBusinessPodcastsWebinarsNews GuidesOpinionQuick TipsDealsAll stories About Meet Our Team The Publisher Partner With Us Us Legal Menu About Meet Our Team The Publisher Partner With Us Us Legal About Meet Our Team The Publisher Partner With Us Us Legal Menu About Meet Our Team The Publisher Partner With Us Us Legal 2021, ThinkTAP
| 2,021 |
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] | 1 | 5,078 |
https://phys.org/news/2020-12-secrets-chemical-bonding-machine.html
| 2020-12-04T00:00:00 |
en
|
Unlocking the secrets of chemical bonding with machine learning
|
Unlocking the secrets of chemical bonding with machine learning
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Materials Science
December 4, 2020
Unlocking the secrets of chemical bonding with machine learning
by Tina Russell, Virginia Tech
Image of the Bayeschem approach to unraveling the orbitalwise nature of chemical bonding at metal surfaces. Credit: Virginia Tech
A new machine learning approach offers important insights into catalysis, a fundamental process that makes it possible to reduce the emission of toxic exhaust gases or produce essential materials like fabric.
In a report published in Nature Communications, Hongliang Xin, associate professor of chemical engineering at Virginia Tech, and his team of researchers developed a Bayesian learning model of chemisorption, or Bayeschem for short, aiming to use artificial intelligence to unlock the nature of chemical bonding at catalyst surfaces.
"It all comes down to how catalysts bind with molecules," said Xin. "The interaction has to be strong enough to break some chemical bonds at reasonably low temperatures, but not too strong that catalysts would be poisoned by reaction intermediates. This rule is known as the Sabatier principle in catalysis."
Understanding how catalysts interact with different intermediates and determining how to control their bond strengths so that they are within that 'goldilocks zone' is the key to designing efficient catalytic processes, Xin said. The research provides a tool for that purpose.
Bayeschem works using Bayesian learning, a specific machine learning algorithm for inferring models from data. "Suppose you have a domain model based on well-established physical laws, and you want to use it to make predictions or learn something new about the world," explained Siwen Wang, a former chemical engineering doctoral student. "The Bayesian approach is to learn the distribution of model parameters given our prior knowledge and the observed, often scarce, data, while providing uncertainty quantification of model predictions."
The d-band theory of chemisorption used in Bayeschem is a theory describing chemical bonding at solid surfaces involving d-electrons that are usually shaped like a four-leaf clover. The model explains how d-orbitals of catalyst atoms are overlapping and attracted to adsorbate valence orbitals that have a spherical or dumbbell-like shape. It has been considered the standard model in heterogeneous catalysis since its development by Hammer and Nørskov in the 1990s, and though it has been successful in explaining bonding trends of many systems, Xin said the model fails at times due to the intrinsic complexity of electronic interactions.
According to Xin, Bayeschem brings the d-band theory to a new level for quantifying those interaction strengths and possibly tailoring some knobs, such as structure and composition, to design better materials. The approach advances the d-band theory of chemisorption by extending its prediction and interpretation capabilities of adsorption properties, both of which are crucial in catalyst discovery. However, compared with the black-box machine learning models that are trained by large amounts of data, the prediction accuracy of Bayeschem is still amenable to improvement, said Hemanth Pillai, a chemical engineering doctoral student in Xin's group who contributed equally to the study.
"The opportunity to come up with highly accurate and interpretable models that build on deep learning algorithms and the theory of chemisorption is highly rewarding for achieving the goals of artificial intelligence in catalysis," said Xin.
Explore further
Machine learning homes in on catalyst interactions to accelerate materials development
More information:
Siwen Wang et al. Bayesian learning of chemisorption for bridging the complexity of electronic descriptors, Nature Communications (2020). DOI: 10.1038/s41467-020-19524-z
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Unlocking the secrets of chemical bonding with machine learning (2020, December 4)
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Unlocking secrets chemical bonding machine learning Topics Weeks Latest news Unread news Science X Account Remember Click sign Forget Password? Not member? Sign Learn Nanotechnology Physics Earth Astronomy Space Technology Chemistry Biology Other Sciences share 1 16 Share Email Home Chemistry Materials Science December 4, 2020 Unlocking secrets chemical bonding machine learning Tina Russell, Virginia Tech Image Bayeschem approach unraveling orbitalwise nature chemical bonding metal surfaces. Credit: Virginia Tech A new machine learning approach offers important insights catalysis, fundamental process makes possible reduce emission toxic exhaust gases produce essential materials like fabric. In report published Nature Communications, Hongliang Xin, associate professor chemical engineering Virginia Tech, team researchers developed Bayesian learning model chemisorption, Bayeschem short, aiming use artificial intelligence unlock nature chemical bonding catalyst surfaces. It comes catalysts bind molecules, said Xin. The interaction strong break chemical bonds reasonably low temperatures, strong catalysts poisoned reaction intermediates. This rule known Sabatier principle catalysis. Understanding catalysts interact different intermediates determining control bond strengths goldilocks zone key designing efficient catalytic processes, Xin said. The research provides tool purpose. Bayeschem works Bayesian learning, specific machine learning algorithm inferring models data. Suppose domain model based wellestablished physical laws, want use predictions learn new world, explained Siwen Wang, chemical engineering doctoral student. The Bayesian approach learn distribution model parameters given prior knowledge observed, scarce, data, providing uncertainty quantification model predictions. The dband theory chemisorption Bayeschem theory describing chemical bonding solid surfaces involving delectrons usually shaped like fourleaf clover. The model explains dorbitals catalyst atoms overlapping attracted adsorbate valence orbitals spherical dumbbelllike shape. It considered standard model heterogeneous catalysis development Hammer Nrskov 1990s, successful explaining bonding trends systems, Xin said model fails times intrinsic complexity electronic interactions. According Xin, Bayeschem brings dband theory new level quantifying interaction strengths possibly tailoring knobs, structure composition, design better materials. The approach advances dband theory chemisorption extending prediction interpretation capabilities adsorption properties, crucial catalyst discovery. However, compared blackbox machine learning models trained large amounts data, prediction accuracy Bayeschem amenable improvement, said Hemanth Pillai, chemical engineering doctoral student Xins group contributed equally study. The opportunity come highly accurate interpretable models build deep learning algorithms theory chemisorption highly rewarding achieving goals artificial intelligence catalysis, said Xin. Explore Machine learning homes catalyst interactions accelerate materials development More information: Siwen Wang et al. Bayesian learning chemisorption bridging complexity electronic descriptors, Nature Communications 2020. DOI: 10.1038s4146702019524z Journal information: Nature Communications Provided Virginia Tech Citation: Unlocking secrets chemical bonding machine learning 2020, December 4 retrieved 4 December 2020 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. 17shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Chinese photonic quantum demonstrates quantum supremacy 3 hours ago 2 Researchers observe hints dark bosons 4 hours ago 2 Nanoparticle jamming wateroil interface 4 hours ago 0 NAD: Is nicotinamide adenine dinucleotide super supplement hype? 5 hours ago 3 ing subeV sterile neutrinos highly sensitive detectors Dec 03, 2020 8 Satellite tag tracks activity levels highly migratory species vast ocean 7 minutes ago Hidden structure essential metabolic machinery 17 minutes ago Divers Nazis Enigma code machine Baltic Sea 46 minutes ago The climate changed rapidly alongside sea ice decline north 55 minutes ago First physics results prototype detector published 1 hour ago Protein storytelling address pandemic 1 hour ago Researchers uncover key clues solar systems history 1 hour ago Relevant PhysicsForums posts concentration solution 4 15 hours ago What structure FOOOF FOOOOF? 23 hours ago 1420 MHz emission frequency cold hydrogen gas Dec 03, 2020 Swimming pool chemistry Dec 01, 2020 Is empenthrin safer 14 dicholorobenzene? mothballs Nov 28, 2020 List H20 breakdown substances Nov 26, 2020 More Chemistry Related Stories Machine learning homes catalyst interactions accelerate materials development Sep 29, 2020 Identifying assessing frailty people diabetes priority, order better treat manage Nov 20, 2020 Highconfidence approach artificial intelligencebased models Oct 19, 2020 Palladium, meet copper: Researchers use machine learning improve catalysts Nov 17, 2020 Machine learning speeds quantum chemistry calculations Oct 07, 2020 Opening black box heterogeneous catalysis Oct 15, 2019 Recommended Polymer researchers latest development results novel cup withstands boiling liquids 5 hours ago Molecules convert visible light ultraviolet light record efficiency 3 hours ago Chemists peek novel fluorescence carbon nanotubes 9 hours ago Titanium atom exists places crystal blame unusual phenomenon 21 hours ago Researchers measure electron emission improve understanding laserbased metal 3D printing Dec 03, 2020 Chemistry professor uses old materials newer, better solar cells Dec 02, 2020 User comments What think particular story? Your feedback directly Science X editors. Your message editors Your email want contacted Send Feedback Thank taking time send valued opinion Science X editors. You assured editors closely monitor feedback sent appropriate actions. Your opinions important us. We guarantee individual replies extremely high volume correspondence. Email story Unlocking secrets chemical bonding machine learning Your friends email Your email I like subscribe Science X Newsletter. Learn Your Note Your email address let recipient know sent email. Neither address recipients address purpose. The information enter appear email message retained form. Your message Send Newsletter sign Get weekly andor daily updates delivered inbox. You unsubscribe time share details parties. 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] | 1 | 5,079 |
https://phys.org/news/2022-01-largest-cosmic-simulations-ai-free.html
| 2022-01-07T00:00:00 |
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The largest suite of cosmic simulations for AI training, free to download, already spurring discoveries
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The largest suite of cosmic simulations for AI training, free to download, already spurring discoveries
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January 7, 2022
The largest suite of cosmic simulations for AI training, free to download, already spurring discoveries
by University of Connecticut
The CAMELS project (Cosmology and Astrophysics with MachinE Learning Simulations) combines over 4,000 cosmological simulations, millions of galaxies, and 350 terabytes of data to decipher secrets of the universe. Credit: University of Connecticut
Totaling 4,233 universe simulations, millions of galaxies and 350 terabytes of data, a new release from the CAMELS project is a treasure trove for cosmologists. CAMELS—which stands for Cosmology and Astrophysics with MachinE Learning Simulations—aims to use those simulations to train artificial intelligence models to decipher the universe's properties.
Scientists are already using the data, which is free to download, to power new research, says project co-leader Francisco Villaescusa-Navarro, a research scientist with the Simons Foundation's CMB (Cosmic Microwave Background) Analysis and Simulation group.
Villaescusa-Navarro leads the project with associate research scientists at the Flatiron Institute's Center for Computational Astrophysics (CCA) Shy Genel and Daniel Anglés-Alcázar, who is also a UConn Associate Professor of Physics.
"Machine learning is revolutionizing many areas of science, but it requires a huge amount of data to exploit," says Anglés-Alcázar. "The CAMELS public data release, with thousands of simulated universes covering a broad range of plausible physics, will provide the galaxy formation and cosmology communities with a unique opportunity to explore the potential of new machine-learning algorithms to solve a variety of problems."
The CAMELS team generated the simulations using code taken from the IllustrisTNG and Simba projects. The CAMELS team includes members of both projects, with Genel a part of the core team of IllustrisTNG and Anglés-Alcázar on the team that developed Simba.
About half of the simulations combine the physics of the cosmos with the smaller-scale physics essential for galaxy formation. Each simulation is run with slightly different assumptions about the universe—for instance, regarding how much of the universe is invisible dark matter versus the dark energy pulling the cosmos apart, or how much energy supermassive black holes inject into the space between galaxies.
The researchers designed the simulations to feed machine-learning models, which will then be able to extract information from observations of the real, observable universe. With 4,233 universe simulations, CAMELS is the largest ever suite of detailed cosmological simulations designed to train machine-learning algorithms.
"The data will enable new discoveries and connect cosmology with astrophysics through machine learning," says Villaescusa-Navarro. "There has never been anything similar to this, with this many universe simulations."
The CAMELS dataset is already powering research projects, with a wide range of papers utilizing the data in the works.
Pablo Villanueva-Domingo of the University of Valencia in Spain led one such paper. He and his colleagues leveraged the CAMELS simulations to train an artificial intelligence model to measure the mass of our Milky Way galaxy plus its surrounding dark matter halo, and the nearby Andromeda galaxy and its halo. The measurements—the first ever done using AI—put our galaxy's heft at 1 trillion to 2.6 trillion times the sun's mass. Those estimates are roughly in line with those made by other methods, demonstrating the AI approach's accuracy.
Meanwhile, Villaescusa-Navarro headed an effort to use the CAMELS data to estimate the value of two parameters that govern the fundamental properties of the universe: what fraction of the universe is matter, and how evenly mass is distributed throughout the cosmos. First, he and his colleagues used CAMELS to generate maps such as the distribution of dark matter, gas and different properties of stars. Then, using the maps, they trained a machine-learning tool called a neural network to predict the values of the two parameters.
"This is the same kind of algorithm used to tell the difference between a cat and a dog from the pixels of an image," says Genel, who co-authored the paper. "The human eye can't determine how much dark matter there is in a simulation, but a neural network can do that."
The results showed the promise of leveraging CAMELS to precisely estimate such parameters in the future based on new observations of the universe, says Villaescusa-Navarro.
"It's exciting to see what other new discoveries this will enable," he says.
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Machine learning accelerates cosmological simulations
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The largest suite of cosmic simulations for AI training, free to download, already spurring discoveries
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The largest suite cosmic simulations AI training, free download, spurring discoveries Topics Weeks Latest news Unread news Science X Account Remember Click sign Forget Password? Not member? Sign Learn Nanotechnology Physics Earth Astronomy Space Technology Chemistry Biology Other Sciences share 1 5 Share Email Home Astronomy Space Astronomy January 7, 2022 The largest suite cosmic simulations AI training, free download, spurring discoveries University Connecticut The CAMELS project Cosmology Astrophysics MachinE Learning Simulations combines 4,000 cosmological simulations, millions galaxies, 350 terabytes data decipher secrets universe. Credit: University Connecticut Totaling 4,233 universe simulations, millions galaxies 350 terabytes data, new release CAMELS project treasure trove cosmologists. CAMELSwhich stands Cosmology Astrophysics MachinE Learning Simulationsaims use simulations train artificial intelligence models decipher universes properties. Scientists data, free download, power new research, says project coleader Francisco VillaescusaNavarro, research scientist Simons Foundations CMB Cosmic Microwave Background Analysis Simulation group. VillaescusaNavarro leads project associate research scientists Flatiron Institutes Center Computational Astrophysics CCA Shy Genel Daniel AnglsAlczar, UConn Associate Professor Physics. Machine learning revolutionizing areas science, requires huge data exploit, says AnglsAlczar. The CAMELS public data release, thousands simulated universes covering broad range plausible physics, provide galaxy formation cosmology communities unique opportunity explore potential new machinelearning algorithms solve variety problems. The CAMELS team generated simulations code taken IllustrisTNG Simba projects. The CAMELS team includes members projects, Genel core team IllustrisTNG AnglsAlczar team developed Simba. About half simulations combine physics cosmos smallerscale physics essential galaxy formation. Each simulation run slightly different assumptions universefor instance, universe invisible dark matter versus dark energy pulling cosmos apart, energy supermassive black holes inject space galaxies. The researchers designed simulations feed machinelearning models, able extract information observations real, observable universe. With 4,233 universe simulations, CAMELS largest suite detailed cosmological simulations designed train machinelearning algorithms. The data enable new discoveries connect cosmology astrophysics machine learning, says VillaescusaNavarro. There similar this, universe simulations. The CAMELS dataset powering research projects, wide range papers utilizing data works. Pablo VillanuevaDomingo University Valencia Spain led paper. He colleagues leveraged CAMELS simulations train artificial intelligence model measure mass Milky Way galaxy plus surrounding dark matter halo, nearby Andromeda galaxy halo. The measurementsthe AIput galaxys heft 1 trillion 2.6 trillion times suns mass. Those estimates roughly line methods, demonstrating AI approachs accuracy. Meanwhile, VillaescusaNavarro headed effort use CAMELS data estimate value parameters govern fundamental properties universe: fraction universe matter, evenly mass distributed cosmos. First, colleagues CAMELS generate maps distribution dark matter, gas different properties stars. Then, maps, trained machinelearning tool called neural network predict values parameters. This kind algorithm tell difference cat dog pixels image, says Genel, coauthored paper. The human eye determine dark matter simulation, neural network that. The results showed promise leveraging CAMELS precisely estimate parameters future based new observations universe, says VillaescusaNavarro. Its exciting new discoveries enable, says. Explore Machine learning accelerates cosmological simulations Provided University Connecticut Citation: The largest suite cosmic simulations AI training, free download, spurring discoveries 2022, January 7 retrieved 7 January 2022 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. 6shares Facebook Twitter Email Feedback editors Featured Last Comments Popular Visualizing intracellular nanostructures living cells nanoendoscopyAFM 1 hour ago 0 Evidence smaller fish dominated interglacial period 2 hours ago 1 Evidence quantum phase transition symmetry breaking ceriumcobaltindium 5 Jan 06, 2022 2 Well preserved prean mummy underground burial chamber Jan 06, 2022 0 rease US wildfires led increase cooccurrence kinds air pollution Jan 06, 2022 1 Eccentric exoplanet discovered 1 hour ago A new cholera strain replaced older strains seventh cholera pandemic 1 hour ago Researchers propose multiaperture vertical cavity surface emitting lasers varying size shape 1 hour ago Cystic fibrosis drugs lifechanging patients: New images reveal molecules work 1 hour ago Visualizing intracellular nanostructures living cells nanoendoscopyAFM 1 hour ago Archaeological dig reveals participants Californias Gold Rush dined salted Atlantic cod 1 hour ago Evidence smaller fish dominated interglacial period 2 hours ago Relevant PhysicsForums posts The James Webb Space Telescope 9 hours ago We watched red supergiant explode ordinary type II supernova 13 hours ago Our Beautiful Universe Photos Videos 21 hours ago How hot Sun space? James Webb related Jan 05, 2022 A step black hole? Jan 04, 2022 Lunar libration time lapse real photographs? Jan 02, 2022 More Astronomy Astrophysics Related Stories Machine learning accelerates cosmological simulations May 05, 2021 Supermassive black holes brake stellar births Jul 20, 2021 Cracking mystery massive black holes quasars supercomputer simulations Aug 17, 2021 Mapping local cosmic web: Dark matter map reveals hidden bridges galaxies May 25, 2021 Machine learning solve riddles galaxy formation Nov 11, 2015 Largest virtual universe free explore Sep 10, 2021 Recommended Eccentric exoplanet discovered 1 hour ago Sending tardigrades stars 23 hours ago Astronomers witness dying star reach explosive end Jan 06, 2022 Discovery metallic stellar structure Milky Way Jan 05, 2022 Research sheds light nature nova V2891 Cygni Jan 05, 2022 Coherent interstellar magnetic field detected Jan 05, 2022 Load comments 0 Let know problem content Use form come typo, inaccuracy like send edit request content . For general inquiries, use contact form. 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April 20, 2022
Could AI help imperiled marine species survive climate change?
by Eva Botkin-Kowacki, Northeastern University
Changing ocean conditions could drive marine species to extinction if they can’t adapt or move to more hospitable waters. Researchers say they could help—if they can accurately predict which species will survive best, and where. Northeastern’s Katie Lotterhos is working to determine whether a machine-learning algorithm could make those predictions accurately. Credit: Ruby Wallau/Northeastern University
Earth's oceans are warming and becoming more acidic as the climate changes. For much of the flora and fauna of the sea, that could mean extinction, unless species can adapt to new conditions and food sources—or migrate to more hospitable waters.
But imperiled species might be able to get a helping hand from humans, says Katie Lotterhos, associate professor of marine and environmental sciences at Northeastern, as long as scientists can accurately determine which species will need an assist.
That's where Lotterhos and her colleagues come in.
Within species there is often genetic variation. Some genetic strains will be more readily able to adapt to certain new conditions than others. If researchers can identify which genetic strains of a given species are more likely to survive in the expected new conditions, they can focus restoration and protection efforts on those strains. Or, Lotterhos says, scientists could help species adapt to climate change by moving them to places that are likely to be more hospitable down the road in a concept called "assisted migration." Scientists and industry leaders are already considering this approach for agriculture and trees.
"There is an urgent societal need to better match genetic strains with environments for restoration efforts in the face of climate change," Lotterhos says. To do that, scientists have been developing methods for "genomic forecasting," she says, which can use genetic data to "predict how a genetic strain will perform in different environments."
But right now, scientists aren't quite sure if those predictions are accurate. So Lotterhos and colleagues put a leading machine-learning algorithm to the test. Their results are reported in a recent paper published in the journal Evolutionary Applications.
The machine-learning algorithm combines genetic and environmental information to predict how poorly adapted a given genetic strain of a species would be to a certain set of environmental conditions in a measure called "genomic offset," Lotterhos says. To test how accurately the algorithm predicts genomic offset, she explains, the team created computer simulations of what they call "virtual species" that don't exist in the real world but undergo birth, death, dispersal, evolutionary selection, and mutation in the same ways that real species do in nature.
"Our study shows that genomic forecasting methods hold promise, but that we still don't have a full understanding of their strengths and limitations," Lotterhos says. The machine-learning method proved better than other measures to predict genomic offset when the researchers kept the inputs simple, considering just genetic information or just environmental information. But taken together as a way to predict population declines due to environmental change, Lotterhos says the results could be misleading.
To test the machine-learning approach further, Lotterhos's team is developing more simulations. The scientists will also take this experiment offline and conduct field experiments.
Lotterhos recently received two prestigious awards: A CAREER award from the National Science Foundation, and a Fulbright scholarship. With support from the CAREER award, Lotterhos and colleagues are conducting tests of the genomic forecasting methods in oysters. The Fulbright scholarship has taken her to Sweden, where she is testing the methods in sea life there such as marine snails, eelgrass, and isopods, an order of crustacean that includes woodlice.
"The Baltic Sea is an interesting study system because many species have genetically adapted to a steep environmental gradient from benign ocean conditions to a more acidic freshwater environment," Lotterhos says. "The goal is to determine how well these methods work, and under what conditions they perform well."
Explore further
Ocean surface climates may disappear by 2100: study
More information:
Áki Jarl Láruson et al, Seeing the forest for the trees: Assessing genetic offset predictions from gradient forest, Evolutionary Applications (2022). DOI: 10.1111/eva.13354
Provided by
Northeastern University
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Could AI help imperiled marine species survive climate change? (2022, April 20)
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Could AI help imperiled marine species survive climate change?
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Could AI help imperiled marine species survive climate change? Topics Weeks Latest news Unread news Science X Account Remember Click sign Forget Password? Not member? Sign Learn Nanotechnology Physics Earth Astronomy Space Chemistry Biology Other Sciences Medicine Technology share 1 5 Share Email Home Biology Ecology Home Biology Biotechnology April 20, 2022 Could AI help imperiled marine species survive climate change? Eva BotkinKowacki, Northeastern University Changing ocean conditions drive marine species extinction adapt hospitable waters. Researchers helpif accurately predict species survive best, where. Northeasterns Katie Lotterhos working determine machinelearning algorithm predictions accurately. Credit: Ruby WallauNortheastern University Earths oceans warming acidic climate changes. For flora fauna sea, mean extinction, species adapt new conditions food sourcesor migrate hospitable waters. But imperiled species able helping hand humans, says Katie Lotterhos, associate professor marine environmental sciences Northeastern, long scientists accurately determine species need assist. Thats Lotterhos colleagues come in. Within species genetic variation. Some genetic strains readily able adapt certain new conditions others. If researchers identify genetic strains given species likely survive expected new conditions, focus restoration protection efforts strains. Or, Lotterhos says, scientists help species adapt climate change moving places likely hospitable road concept called assisted migration. Scientists industry leaders considering approach agriculture trees. There urgent societal need better match genetic strains environments restoration efforts face climate change, Lotterhos says. To that, scientists developing methods genomic forecasting, says, use genetic data predict genetic strain perform different environments. But right now, scientists arent sure predictions accurate. So Lotterhos colleagues leading machinelearning algorithm test. Their results reported recent paper published journal Evolutionary Applications. The machinelearning algorithm combines genetic environmental information predict poorly adapted given genetic strain species certain set environmental conditions measure called genomic offset, Lotterhos says. To test accurately algorithm predicts genomic offset, explains, team created simulations virtual species dont exist real world undergo birth, death, dispersal, evolutionary selection, mutation ways real species nature. Our study shows genomic forecasting methods hold promise, dont understanding strengths limitations, Lotterhos says. The machinelearning method proved better measures predict genomic offset researchers kept inputs simple, considering genetic information environmental information. But taken way predict population declines environmental change, Lotterhos says results misleading. To test machinelearning approach further, Lotterhoss team developing simulations. The scientists experiment offline conduct field experiments. Lotterhos recently received prestigious awards: A CAREER award National Science Foundation, Fulbright scholarship. With support CAREER award, Lotterhos colleagues conducting tests genomic forecasting methods oysters. The Fulbright scholarship taken Sweden, testing methods sea life marine snails, eelgrass, isopods, order crustacean includes woodlice. The Baltic Sea interesting study species genetically adapted steep environmental gradient benign ocean conditions acidic freshwater environment, Lotterhos says. The goal determine methods work, conditions perform well. Explore Ocean surface climates disappear 2100: study More information: ki Jarl Lruson et al, Seeing forest trees: Assessing genetic offset predictions gradient forest, Evolutionary Applications 2022. DOI: 10.1111eva.13354 Provided Northeastern University Citation: Could AI help imperiled marine species survive climate change? 2022, April 20 retrieved 20 April 2022 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. The content provided information purposes only. 6shares Facebook Twitter Email Feedback editors Featured Last Comments Popular A biological motor consumes chiral fuel drives rotation direction single covalent bond 4 hours ago 0 Study achieves optical coherent manipulation circular Rydberg states 4 hours ago 0 Eclogite samples China push moderntype subduction events 2.5 billion years ago 5 hours ago 0 Chinese team breaks distance record quantum secure direct communication 5 hours ago 0 Radio flares observed nearby M dwarf star 7 hours ago 0 Cities driving evolutionary change cosmopolitan white clover, new global study finds 1 hour ago Scientists set map worlds genomic diversity 2 hours ago NASAs Perseverance rover captures video solar eclipse Mars 2 hours ago Prehistoric people created art firelight, new research reveals 2 hours ago Study predicts climate change accelerates ocean currents 2 hours ago Small bees better coping warming, bumblebees struggle: study 3 hours ago Dying stars cocoons explain fast blue optical transients 3 hours ago Relevant PhysicsForums posts Can estimate vertical wind speed based temperature difference? 1 hour ago Today I learned 1 hour ago Maximum Deflection Angle In Elastic Collision 1 hour ago AI, fear it? 1 hour ago Collection Lame Jokes 1 hour ago Transformation connection coefficients 1 hour ago More Physics Forums Science Articles, Homework Help, Discussion Related Stories Ocean surface climates disappear 2100: study Aug 26, 2021 Stickleback study reveals parallel evolution Dec 01, 2020 Genes helping bumblebees adapt environmental change pinpointed Feb 09, 2022 Some endangered species longer survive wild. So alter genes? Jan 26, 2022 Failure account genetic variation result overestimating extinction risk May 06, 2019 Potential adapt revealed evolutionary genomics Jan 16, 2020 Recommended Small bees better coping warming, bumblebees struggle: study 3 hours ago Can wind turbines migrating birds coexist? 8 hours ago A midge fly source currently pesticides birds, bats 8 hours ago Geoengineering return risk malaria billion people 11 hours ago The answer keeping moose populations healthy? Wolves 13 hours ago Protected areas dont boost biodiversity 5 hours ago Load comments 0 Let know problem content Use form come typo, inaccuracy like send edit request content . For general inquiries, use contact form. For general feedback, use public comments section adhere guidelines. 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https://pix11.com/hill-politics/christie-compares-ramaswamy-to-amateur-obama-a-guy-who-sounds-like-chatgpt/
| 2023-08-24T00:00:00 |
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Christie compares Ramaswamy to ‘amateur’ Obama: ‘A guy who sounds like ChatGPT’ | PIX11
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Christie compares Ramaswamy to ‘amateur’ Obama: ‘A guy who sounds like ChatGPT’ | PIX11
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Politics from The Hill
Christie compares Ramaswamy to ‘amateur’ Obama: ‘A guy who sounds like ChatGPT’
by: Julia Mueller, The Hill
Posted: Aug 23, 2023 / 09:59 PM EDT
Updated: Aug 23, 2023 / 10:15 PM EDT
by: Julia Mueller, The Hill
Posted: Aug 23, 2023 / 09:59 PM EDT
Updated: Aug 23, 2023 / 10:15 PM EDT
SHARE
Republican presidential candidates Chris Christie and Vivek Ramaswamy sparred on stage after candidates were asked whether or not they believed human behavior is causing climate change.
“I’m the only person on the stage who isn’t bought and paid for so I can say this: The climate change agenda is a hoax,” Ramaswamy said, prompting boos from the audience.
“The reality is the anti-carbon agenda is the wet blanket on our economy. And so the reality is more people are dying of bad climate change policies than they are of actual climate change,” he said.
Christie then interrupted to say he’d “had enough already tonight of a guy who sounds like ChatGPT,” and knocked Ramaswamy’s opening line from earlier in the program.
“The last person in one of these debates … who stood in the middle of the stage and said, ‘What is a skinny guy with an odd last name doing up here?’ was Barack Obama. And I am afraid we are dealing with the same type of amateur standing on the stage tonight,” Christie said.
Ramaswamy pitched himself at the start of the debate as “not a politician” and representative of a younger generation that could better control the White House than some of his fellow older competitors.
“Let me just address the question that is on everybody’s mind at home tonight. Who the heck is this skinny guy with a funny last name, and what the heck is he doing in the middle of this debate stage?” Ramaswamy had said at the start of the debate.
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Christie compares Ramaswamy to ‘amateur’ Obama: ‘A guy who sounds like ChatGPT’
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Christie compares Ramaswamy amateur Obama: A guy sounds like ChatGPT PIX11 Skip content PIX11 New York, NY 71 Sign Up New York, NY 71 Sponsored By Toggle Menu Open Navigation Close Navigation Please enter search term. 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Politics The Hill Christie compares Ramaswamy amateur Obama: A guy sounds like ChatGPT by: Julia Mueller, The Hill Posted: Aug 23, 2023 09:59 PM EDT Updated: Aug 23, 2023 10:15 PM EDT by: Julia Mueller, The Hill Posted: Aug 23, 2023 09:59 PM EDT Updated: Aug 23, 2023 10:15 PM EDT SHARE Republican presidential candidates Chris Christie Vivek Ramaswamy sparred stage candidates asked believed human behavior causing climate change. Im person stage isnt bought paid I this: The climate change agenda hoax, Ramaswamy said, prompting boos audience. The reality anticarbon agenda wet blanket economy. And reality people dying bad climate change policies actual climate change, said. Christie interrupted hed tonight guy sounds like ChatGPT, knocked Ramaswamys opening line earlier program. The person debates stood middle stage said, What skinny guy odd here? Barack Obama. And I afraid dealing type amateur standing stage tonight, Christie said. Ramaswamy pitched start debate politician representative younger generation better control White House fellow older competitors. Let address question everybodys mind home tonight. Who heck skinny guywith funny name, heck middle debate stage?Ramaswamy said start debate. Close Modal Suggest Correction Your namerequired Your emailrequired Report typo grammatical errorrequired Submit Suggest Correction 2023 Nexstar Media . . This material published, broadcast, rewritten, redistributed. 17 unique ideas step home library Storage Organization 8 hours ago Do want home library feel like refuge world you? Netflix ends DVD shipping good lets subscribers Internet Streaming 8 hours ago At Netflix, streaming DVDs out. After years sending subscribers DVDs mail, company transition streamingonly service. Why Le Creuset pots popular? Cookware Cooking Sets 9 hours ago Le Creuset known globally highquality cookware, popular? Learn makes Le Creuset pots best. 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Full list Top picks happy Halloween PSA: Walmarts selling lifesize Stranger Holiday 1 day ago Amazons best backtoschool deals high schoolers Holiday 4 weeks ago Amazons best backtoschool deals middle schoolers Holiday 4 weeks ago Amazons best backtoschool deals elementary Holiday 1 month ago Home Depots 12foot skeleton back, Halloween Holiday 1 month ago The 75 best deals postPrime Day Holiday 1 month ago View All BestReviews Picks Dont Miss Where PIX11 News Beat heat: How stay cool safe NYC How report heat NYC: Resources tenants Rising rent NYC: Heres tenants need know Suicide prevention mental health resources New Yorks Very Own Watch Now News NYC News PIX11 Morning News Things To Do NYC Weather NYC Sports Report It Mission FCC Applications FCC Applications Get News App Get iOS app Get Android app Google Play Stay Connected Terms Of Use Covers Public File Assistance The Hill NewsNation BestReviews Content Licensing Nexstar Digital Journalistic Integrity Do Not Sell Share My Personal Information 1998 2023 Nexstar Media . .
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https://pjmedia.com/instapundit/434519/
| 2021-02-24T00:00:00 |
en
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Instapundit » Blog Archive » IS THIS PART OF SKYNET OR PART OF THE THING WE’LL NEED TO FIGHT SKYNET? Army AI Gets Live Fire Test …
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https://pledgetimes.com/health-artificial-intelligence-helps-discover-a-potential-antibiotic-against-a-superbug/
| 2023-05-29T00:00:00 |
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Health - Artificial intelligence helps discover a potential antibiotic against a superbug - Pledge Times
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Health - Artificial intelligence helps discover a potential antibiotic against a superbug - Pledge Times
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Health – Artificial intelligence helps discover a potential antibiotic against a superbug
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First modification: 05/29/2023 – 18:12
For human work it may be unfeasible to analyze more than 6,600 new components to find out if they can act against a bacterium that does not respond to existing drugs. However, for an artificial intelligence algorithm, it was not complex. Thanks to that, a new antibiotic treatment could be developed. We explain it.
#Health #Artificial #intelligence #helps #discover #potential #antibiotic #superbug
See also Hamdan bin Mohammed inaugurates "Dubai Health Forum 2022"
Tags: antibioticsArtificial intelligenceHealthScientific investigationSuperbugs
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https://prnewsleader.com/coronavirus/501089/global-artificial-intelligence-in-computer-vision-market-by-2026-with-growth-analysis-and-forecast/
| 2020-10-16T00:00:00 |
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Global Artificial Intelligence In Computer Vision Market By 2026 With Growth Analysis and Forecast
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Global Artificial Intelligence In Computer Vision Market By 2026 With Growth Analysis Forecast 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 Coronavirus Global Artificial Intelligence In Computer Vision Market By 2026 With Growth Analysis Forecast Post author By anita_adroit Post date October 16, 2020 No Comments Global Artificial Intelligence In Computer Vision Market By 2026 With Growth Analysis Forecast This meticulous research based analytical review Global Artificial Intelligence In Computer Vision Market high end expert handbook portraying crucial market relevant information developments, encompassing holistic record growth promoting triggers encapsulating trends, factors, dynamics, challenges, threats barrier analysis accurately direct influence profit trajectory Artificial Intelligence In Computer Vision Market. 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https://prnewsleader.com/coronavirus/906849/post-pandemic-analysis-of-esophageal-dilation-balloon-market-analysis-by-top-players-boston-scientific-olympus-cook-medical-telemed-systems-bard-medical/
| 2020-10-23T00:00:00 |
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Post Pandemic Analysis of Esophageal Dilation Balloon Market Analysis by Top Players Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical – PRnews Leader
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Post Pandemic Analysis of Esophageal Dilation Balloon Market Analysis by Top Players Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical – PRnews Leader
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Post Pandemic Analysis of Esophageal Dilation Balloon Market Analysis by Top Players Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical
Post author
By Nick Watson
Post date
October 23, 2020
Global Coronavirus pandemic has impacted all industries across the globe, Esophageal Dilation Balloon 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 Esophageal Dilation Balloon 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 complete report. To Contact Research Advisor Mail us @ [email protected] or call us on +1-312-376-8303.
Latest update on Esophageal Dilation Balloon Market Analysis report published with extensive market research, Market growth analysis, and forecast by 2027. The global Esophageal Dilation Balloon market report study provides intelligence studies ensuring relevant and fact-based research which help clients understand the significance and impact of market dynamics. The study provides historic data of 2015 along with a forecast from 2020 to 2027 based on both volumes and revenue. The report on Esophageal Dilation Balloon market is also provides, details of the company covered, SWOT analysis, and PESTEL, Porter’s five forces, and product life cycle.
On the basis of type the global Esophageal Dilation Balloon market can be segmented into Air Balloon, Water Balloon . The application segments covered under this study includes Congenital Esophageal Stenosis, Secondary Esophageal Stenosis, Other .Developments in technology with respect to its manufacturing process and are expected to lead to new applications of this market during the forecast period. Morover, some of the key players are focusing on strategies such as new product development and acquisitions & mergers to increase their market presence. Key players operating in the market are Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical, Crospon, MFI Medical Equipment, Medline Industries, GE Healthcare, Company ten, Fiagon, Brainlab .
Any query? Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—>
Download Sample Report of Esophageal Dilation Balloon Market Report 2020 (Coronavirus Impact Analysis on Esophageal Dilation Balloon Market)
At the end of May, many states began lifting lockdown restrictions and reopening in order to revive their economies, despite warnings that it was still too early. As a result, by mid-July, around 33 states were reporting higher rates of new cases compared to the previous week with only three states reporting declining rates. Due to this Covid-19 pandemic, there has been disruptions in the supply chain which have made end-use businesses realize destructive in the manufacturing and business process. During this lockdown period, the plastic packaging helps the products to have longer shelf life as the public would not be able to buy new replacements for the expired products because most of the production units are closed.
The report also provides a detailed analysis of the impact of COVID-19.
The research report of the Esophageal Dilation Balloon market is predicted to accrue a significant remuneration portfolio by the end of the predicted time period. It includes parameters with respect to the Esophageal Dilation Balloon market dynamics – incorporating varied driving forces affecting the commercialization graph of this business vertical and risks prevailing in the sphere. In addition, it also speaks about the Esophageal Dilation Balloon market growth opportunities in the industry.
Request Free Sample Copy of Esophageal Dilation Balloon Market Research [email protected] https://cognitivemarketresearch.com/medical-devices–consumables/esophageal-dilation-balloon-market-report#download_report
Esophageal Dilation Balloon Market Report covers the manufacturers’ financial data, including shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including Esophageal Dilation Balloon market size, volume and value, as well as price data.
Regional Analysis for Esophageal Dilation Balloon Market:
• North America (United States, Canada)
• Europe (Germany, Spain, France, UK, Russia, and Italy)
• Asia-Pacific (China, Japan, India, Australia, and South Korea)
• Latin America (Brazil, Mexico, etc.)
• The Middle East and Africa (GCC and South Africa)
Get A Free Sample of Esophageal Dilation Balloon Market Report: https://cognitivemarketresearch.com/medical-devices–consumables/esophageal-dilation-balloon-market-report#download_report
Objective of Esophageal Dilation Balloon Market Report:
• To provide strategic profiles of major players in the Esophageal Dilation Balloon market, analyzing their fundamental capacities, and drawing a competitive scenario for the market
• To provide insights about factors that causes market growth. To analyze the Esophageal Dilation Balloon Market based on various factors- price analysis, supply chain analysis, porter five force analysis etc.
• To provide detailed analysis of the Esophageal Dilation Balloon market structure along with forecast
• To provide a country-level analysis of the current market size and prospects
• To provide a country-level analysis for the segment through applications, product types, and sub-segments by region
Cataloging the competitive terrain of the Esophageal Dilation Balloon market:
• The report provides an overview of every manufacturers and the products developed by each manufacturer along with the application scope of every product
• Data regarding the market share of every company, as well as sales figures concerning each firm is stated in the report
• Details regarding the profit margins and price patterns have been inculcated in the report
Unveiling the geographical penetration of the Esophageal Dilation Balloon market:
• The report consists of information related the geographical landscape evaluating the industry into various regions.
• Crucial data consisting of market share accumulated by every region, in association with sales of every region registered is mentioned in the report.
• The valuation conducted by each region in the base year as well as the growth rate over the predicted time period is mentioned in the report.
The report of the Esophageal Dilation Balloon market is an in-depth analysis of the business vertical projected to record a commendable annual growth rate over the estimated time period. It also comprises of a precise evaluation of the dynamics related to this marketplace. The purpose of the Esophageal Dilation Balloon Market report is to provide important information related to the industry deliverables such as market size, valuation forecast, sales volume, etc.
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Post Pandemic Analysis of Esophageal Dilation Balloon Market Analysis by Top Players Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical
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Post Pandemic Analysis Esophageal Dilation Balloon Market Analysis Top Players Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical 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 Coronavirus Post Pandemic Analysis Esophageal Dilation Balloon Market Analysis Top Players Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical Post author By Nick Watson Post date October 23, 2020 Global Coronavirus pandemic impacted industries globe, Esophageal Dilation Balloon market exception. As Global economy heads major recession post 2009 crisis, Cognitive Market Research published recent study meticulously studies impact crisis Global Esophageal Dilation Balloon market suggests possible measures curtail them. This press release snapshot research study information gathered accessing complete report. To Research Advisor Mail @ [emailprotected] 13123768303. Latest update Esophageal Dilation Balloon Market Analysis report published extensive market research, Market growth analysis, forecast 2027. The global Esophageal Dilation Balloon market report study provides intelligence studies ensuring relevant factbased research help clients understand significance impact market dynamics. The study provides historic data 2015 forecast 2020 2027 based volumes revenue. The report Esophageal Dilation Balloon market provides, details company covered, SWOT analysis, PESTEL, Porters forces, product life cycle. On basis type global Esophageal Dilation Balloon market segmented Air Balloon, Water Balloon . The application segments covered study includes Congenital Esophageal Stenosis, Secondary Esophageal Stenosis, Other .Developments technology respect manufacturing process expected lead new applications market forecast period. Morover, key players focusing strategies new product development acquisitions mergers increase market presence. Key players operating market Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical, Crospon, MFI Medical Equipment, Medline Industries, GE Healthcare, Company ten, Fiagon, Brainlab . Any query? Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> Download Sample Report Esophageal Dilation Balloon Market Report 2020 Coronavirus Impact Analysis Esophageal Dilation Balloon Market At end May, states began lifting lockdown restrictions reopening order revive economies, despite warnings early. As result, midJuly, 33 states reporting higher rates new cases compared previous week states reporting declining rates. Due Covid19 pandemic, disruptions supply chain enduse businesses realize destructive manufacturing business process. During lockdown period, plastic packaging helps products longer shelf life public able buy new replacements expired products production units closed. The report provides detailed analysis impact COVID19. The research report Esophageal Dilation Balloon market predicted accrue significant remuneration portfolio end predicted time period. It includes parameters respect Esophageal Dilation Balloon market dynamics incorporating varied driving forces affecting commercialization graph business vertical risks prevailing sphere. In addition, speaks Esophageal Dilation Balloon market growth opportunities industry. Request Free Sample Copy Esophageal Dilation Balloon Market Research [emailprotected] Esophageal Dilation Balloon Market Report covers manufacturers financial data, including shipment, price, revenue, gross profit, interview record, business distribution etc., data help consumer know competitors better. This report covers regions countries world, shows regional development status, including Esophageal Dilation Balloon market size, volume value, price data. Regional Analysis Esophageal Dilation Balloon Market: North America United States, Canada Europe Germany, Spain, France, UK, Russia, Italy AsiaPacific China, Japan, India, Australia, South Korea Latin America Brazil, Mexico, etc. The Middle East Africa GCC South Africa Get A Free Sample Esophageal Dilation Balloon Market Report: Objective Esophageal Dilation Balloon Market Report: To provide strategic profiles major players Esophageal Dilation Balloon market, analyzing fundamental capacities, drawing competitive scenario market To provide insights factors causes market growth. To analyze Esophageal Dilation Balloon Market based factors price analysis, supply chain analysis, porter force analysis etc. To provide detailed analysis Esophageal Dilation Balloon market structure forecast To provide countrylevel analysis current market size prospects To provide countrylevel analysis segment applications, product types, subsegments region Cataloging competitive terrain Esophageal Dilation Balloon market: The report provides overview manufacturers products developed manufacturer application scope product Data market share company, sales figures concerning firm stated report Details profit margins price patterns inculcated report Unveiling geographical penetration Esophageal Dilation Balloon market: The report consists information related geographical landscape evaluating industry regions. Crucial data consisting market share accumulated region, association sales region registered mentioned report. The valuation conducted region base year growth rate predicted time period mentioned report. The report Esophageal Dilation Balloon market indepth analysis business vertical projected record commendable annual growth rate estimated time period. It comprises precise evaluation dynamics related marketplace. The purpose Esophageal Dilation Balloon Market report provide important information related industry deliverables market size, valuation forecast, sales volume, etc. : Cognitive Market Research finest efficient Market Research Consulting firm. The company strives provide research studies include syndicate research, customized research, round clock assistance service, monthly subscription services, consulting services clients. We focus making sure based reports, clients enabled vital business decisions easiest effective way. Hence, committed delivering outcomes market intelligence studies based relevant factbased research global market. Us: 13123768303 Email: [emailprotected] Web: Global Utilities Customer Information Systems Market xx CAGR Terms Revenue By 2025: Oracle, Efluid SAS, SAP, Itineris, Indra, Cayenta for: Recent Posts Post Pandemic Analysis Esophageal Dilation Balloon Market Analysis Top Players Boston Scientific, Olympus, Cook Medical, Telemed Systems, Bard Medical Global Utilities Customer Information Systems Market xx CAGR Terms Revenue By 2025: Oracle, Efluid SAS, SAP, Itineris, Indra, Cayenta Cabin Management Systems Market Trend, Growth, COVID19 Impact, Current Industry Figures Forecast 2026 Chilli Sauce Market Trend, Growth, COVID19 Impact, Current Industry Figures Forecast 2026 3D Motion Capture System Market 2020: Global Industry Analysis Size, Share, Growth, Trends Forecast To 2025 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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] | 1 | 5,086 |
https://reason.com/volokh/2023/06/07/the-great-success-of-artificial-intelligence/
| 2023-06-07T00:00:00 |
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The Great Success of Artificial Intelligence
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The Great Success of Artificial Intelligence
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The Great Success of Artificial Intelligence
Eugene Volokh
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6.7.2023 11:20 AM
Many people have long doubted that AI can really simulate humans. But recent news made me a believer. Making up plausible-seeming but utterly false statements, and asserting them as true with no shame but with total assurance? That's about as human as you can get.
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NEXT: Lawyer Explains How He Used ChatGPT to Produce Filing "Replete with Citations to Non-Existent Cases"
Eugene Volokh is the Gary T. Schwartz Distinguished Professor of Law at UCLA. Naturally, his posts here (like the opinions of the other bloggers) are his own, and not endorsed by any educational institution.
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Permitting Reforms in Debt Ceiling Bill Will Accomplish Little
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Why Are So Many Younger Americans Okay with Big Brother Monitoring Their Homes?
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The Great Success Artificial Intelligence Latest Magazine Current Issue Archives Video Podcasts All Shows The Reason Roundtable The Reason Interview With Nick Gillespie The Reason Rundown With Peter Suderman The Soho Forum Debates Volokh Newsletters Donate Donate Online Donate Crypto Ways To Give To Reason Foundation Torchbearer Society Planned Giving PrintDigital Subscriptions Gift Subscriptions for: FormUsernameRequired PasswordRequired Remember Me Create new accountForgot password The Volokh Conspiracy Mostly law professors Sometimes contrarian Often libertarian Always independent About The Volokh Conspiracy Editorial Independence Who Books Volokh Daily Email Archives DMCA RSS The Great Success Artificial Intelligence Eugene Volokh 6.7.2023 11:20 AM Many people long doubted AI simulate humans. But recent news believer. Making plausibleseeming utterly false statements, asserting true shame total assurance? Thats human get. To Volokh Conspiracy Daily email, sign here. EmailRequired PhoneThis field validation purposes left unchanged. Submit NEXT: Lawyer Explains How He Used ChatGPT Produce Filing Replete Citations NonExistent Cases Eugene Volokh Gary T. Schwartz Distinguished Professor Law UCLA. Naturally, posts like opinions bloggers own, endorsed educational institution. Share FacebookShare TwitterShare RedditShare emailPrint friendly versionCopy URLMedia Reprint Requests Show Comments 3 Latest Permitting Reforms Debt Ceiling Bill Will Accomplish Little Eric Boehm 6.7.2023 10:45 AM The A.I. Defamation Cases Are Here: ChatGPT Sued Spreading Misinformation Elizabeth Nolan Brown 6.7.2023 9:34 AM Why Are So Many Younger Americans Okay Big Brother Monitoring Their Homes? J.D. Tuccille 6.7.2023 7:00 AM Brickbat: This Gets My Goat Charles Oliver 6.7.2023 4:00 AM Socialism Is Bad Environment John Stossel 6.7.2023 12:30 AM Recommended About Browse Topics Events Staff Jobs Donate Advertise Media Shop Amazon Reason FacebookReason TwitterReason InstagramReason TikTokReason YoutubeReason ItunesReason FlipboardReason RSS 2023 Reason Foundation Accessibility Terms Of Use This site protected reCAPTCHA Google apply.
| 2,023 |
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https://reviewindependent.com/uncategorized/1155763/global-artificial-intelligence-in-stadium-market-detailed-analysis-of-current-industry-figures-with-forecasts-growth-by-2028-top-players-allgovision-technologies-pvt-byrom-plc-centurylin/
| 2021-01-31T00:00:00 |
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Global Artificial Intelligence in Stadium Market – Detailed analysis of current Industry figures with forecasts growth by 2028 | Top Players; Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab, and more – Reviewindependent
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Global Artificial Intelligence in Stadium Market – Detailed analysis of current Industry figures with forecasts growth by 2028 | Top Players; Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab, and more – Reviewindependent
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Global Artificial Intelligence in Stadium Market – Detailed analysis of current Industry figures with forecasts growth by 2028 | Top Players; Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab, and more
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Post date
January 31, 2021
The Global Artificial Intelligence in Stadium Market research report covers various industry dynamics and tendencies that helps in the market growth. Along with this, the research report also offers the latest industry data, future trends, products and end-users revenue growth and effectiveness, which is also by the manufacturers for the growth of the global Artificial Intelligence in Stadium market. Moreover, this market research report study also provides various market drivers, restrains, future opportunities, limitations and challenges that helps in the growth of the global Artificial Intelligence in Stadium market. The data or information that is required for the research report study of the Artificial Intelligence in Stadium market is collected with helps of various research tools like SWOT analysis, PESTAL analysis, Poster’s Five Forces analysis and other competitive analysis.
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The comprehensive list of Key Market Players along with their market overview, product protocol, key highlights, key financial issues, SWOT analysis, and business strategies: Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab
Request Sample Enquiry Buying Company Profile
In addition to this, the marker research report also comprises of recent market strategies that are used by the key market players and also provides the survey on the present market development and technological evolutions. This survey includes detailed analysis of the global competitive industrial structure and the information about the current and future technological advancements and development. Also, the survey includes the opportunities and encounters that are faced by the major players of the global Artificial Intelligence in Stadium market. Hence, this data will extensively help the manufacturers to include and update various business plans and strategies that will help in the growth of the Artificial Intelligence in Stadium market.
Furthermore, the Artificial Intelligence in Stadium market report also provides major strategic examination, growth summarized studies, key driving factors and opportunities of the market, which helps to evaluate the Artificial Intelligence in Stadium market and other significant details that are related to the Artificial Intelligence in Stadium market. The research report study also helps to reveal accurate stats of the industry, which represents ultimate pattern of the global Artificial Intelligence in Stadium market and contains various types, applications, market growth structure and opportunities. Moreover, the market research report study also provides an exploration and analysis of the past and current performance of the regional market, which includes divisional and sub-divisional geographies. This regional analysis explores various important market parameters like growth rate of the Artificial Intelligence in Stadium market in each of the regions, manufacturing volume and capacity, market demand and supply and its return on investments (RoI).
Additionally, the statistical and numerical data provided in the research report is segregated in the tabular, graphical and charts format, which eases the understanding of facts and figures. The Artificial Intelligence in Stadium market research report provides forecasted data from the year 2020-2027 and historical data from the year 2015-2019, by considering 2019 as the base year. This study also discusses market share estimates, market size, current industry trends and profiling of Artificial Intelligence in Stadium market key players.
Report Attribute
Details
The market size value in 2019
USD xx.xx million (click here for value)
The revenue forecast in 2028
USD xx.xx million (click here for value)
Growth Rate
CAGR of xx.xx% from 2020 to 2028 (click here for value)
The base year for estimation
2019
Historical data
2015 – 2018
Forecast period
2019 – 2028
Quantitative units
Revenue in USD million and CAGR from 2020 to 2028
Report coverage
Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments covered
Component, Types, Applications, End-Users, and more.
Top Manufacturers
Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab
Product Types
Digital Content Management, Stadium & Public Security, Building Automation, Event Management, Network Management, Crowd Management
Applications
Government, School, Other
Regional Scope
North America, Europe, Asia Pacific, Latin America, Middle East and Africa
Customization scope
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options
Avail of customized purchase options to meet your exact research needs. Explore purchase options
Choose Require Company Profile Data from list: https://www.zealinsider.com/report/59722/artificial-intelligence-in-stadium-market#companydata
Type Segmentation of the Global Artificial Intelligence in Stadium Market:
The type analysis of the Artificial Intelligence in Stadium market provides comprehensive information about its competitors, their activities, customer experiences and market emerging trends, which helps the marketers to introduce new product in the market and to investigate the behavior of the target market.
Digital Content Management
Stadium & Public Security
Building Automation
Event Management
Network Management
Crowd Management
Application Segmentation of the Global Artificial Intelligence in Stadium Market:
The application analysis of the Artificial Intelligence in Stadium market provides an overview that how the applications interact with the desired functions in the market.
Government
School
Other
Regional Analysis for Global Artificial Intelligence in Stadium Market:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, and Rest of Europe)
Asia Pacific (China, Japan, India, Russia, and Rest of Asia Pacific)
Latin America (Cuba, Brazil, Argentina, and Rest of Latin America)
Middle East & Africa (South Africa, GCC and Rest of the Middle East & Africa)
Access Full Report, here: https://www.zealinsider.com/report/59722/artificial-intelligence-in-stadium-market
Major points that are covered in the Artificial Intelligence in Stadium market report are:
The report offers competitive landscape and various market strategies of the key market players and their product offerings
The report provides historic data up to 2019, and forecast data from 2020 to 2027 for the global Artificial Intelligence in Stadium market.
SWOT analysis for all the key players that are mentioned in the research report
The report also covers PESTAL analysis and Potter’s Five Forces analysis for the global Artificial Intelligence in Stadium market.
The report also provides detail information about the key manufacturers, Artificial Intelligence in Stadium manufacturing cost structure, and major raw materials suppliers.
The report covers detailed overview of the Covid-19 impact on the global Artificial Intelligence in Stadium market
Detailed information about drivers, opportunities, and restraints of the Artificial Intelligence in Stadium market
The report provides a competitive analysis regarding Artificial Intelligence in Stadium market and key product segments of a market
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Global Artificial Intelligence in Stadium Market
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Global Artificial Intelligence Stadium Market Detailed analysis current Industry figures forecasts growth 2028 Top Players; Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab, Reviewindependent Skip content Reviewindependent Menu Coronavirus Energy News Space All News for: Close search Close Menu Coronavirus Energy News Space All News Categories All News Global Artificial Intelligence Stadium Market Detailed analysis current Industry figures forecasts growth 2028 Top Players; Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab, Post author By zealinsider Post date January 31, 2021 The Global Artificial Intelligence Stadium Market research report covers industry dynamics tendencies helps market growth. Along this, research report offers latest industry data, future trends, products endusers revenue growth effectiveness, manufacturers growth global Artificial Intelligence Stadium market. Moreover, market research report study provides market drivers, restrains, future opportunities, limitations challenges helps growth global Artificial Intelligence Stadium market. The data information required research report study Artificial Intelligence Stadium market collected helps research tools like SWOT analysis, PESTAL analysis, Posters Five Forces analysis competitive analysis. Pandemic offer customers: Purchase Report availing 10 Discount free consultation. Limited period offer. Get Sample Copy This Report @ The comprehensive list Key Market Players market overview, product protocol, key highlights, key financial issues, SWOT analysis, business strategies:Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab Request Sample Enquiry Buying Company Profile In addition this, marker research report comprises recent market strategies key market players provides survey present market development technological evolutions. This survey includes detailed analysis global competitive industrial structure information current future technological advancements development. Also, survey includes opportunities encounters faced major players global Artificial Intelligence Stadium market. Hence, data extensively help manufacturers include update business plans strategies help growth Artificial Intelligence Stadium market. Furthermore, Artificial Intelligence Stadium market report provides major strategic examination, growth summarized studies, key driving factors opportunities market, helps evaluate Artificial Intelligence Stadium market significant details related Artificial Intelligence Stadium market. The research report study helps reveal accurate stats industry, represents ultimate pattern global Artificial Intelligence Stadium market contains types, applications, market growth structure opportunities. Moreover, market research report study provides exploration analysis past current performance regional market, includes divisional subdivisional geographies. This regional analysis explores important market parameters like growth rate Artificial Intelligence Stadium market regions, manufacturing volume capacity, market demand supply return investments RoI. Additionally, statistical numerical data provided research report segregated tabular, graphical charts format, eases understanding facts figures. The Artificial Intelligence Stadium market research report provides forecasted data year 20202027 historical data year 20152019, considering 2019 base year. This study discusses market share estimates, market size, current industry trends profiling Artificial Intelligence Stadium market key players. Report Attribute Details The market size value 2019 USD xx.xx million click value The revenue forecast 2028 USD xx.xx million click value Growth Rate CAGR xx.xx 2020 2028 click value The base year estimation 2019 Historical data 2015 2018 Forecast period 2019 2028 Quantitative units Revenue USD million CAGR 2020 2028 Report coverage Revenue forecast, company ranking, competitive landscape, growth factors, trends Segments covered Component, Types, Applications, EndUsers, more. Top Manufacturers Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab Product Types Digital Content Management, Stadium Public Security, Building Automation, Event Management, Network Management, Crowd Management Applications Government, School, Other Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East Africa Customization scope Free report customization equivalent 8 analysts working days purchase. Addition alteration country, regional segment scope. Pricing purchase options Avail customized purchase options meet exact research needs. Explore purchase options Choose Require Company Profile Data list: Type Segmentation Global Artificial Intelligence Stadium Market: The type analysis Artificial Intelligence Stadium market provides comprehensive information competitors, activities, customer experiences market emerging trends, helps marketers introduce new product market investigate behavior target market. Digital Content Management Stadium Public Security Building Automation Event Management Network Management Crowd Management Application Segmentation Global Artificial Intelligence Stadium Market: The application analysis Artificial Intelligence Stadium market provides overview applications interact desired functions market. Government School Other Regional Analysis Global Artificial Intelligence Stadium Market: North America U.S., Canada, Mexico Europe Germany, U.K., France, Italy, Russia, Spain, Rest Europe Asia Pacific China, Japan, India, Russia, Rest Asia Pacific Latin America Cuba, Brazil, Argentina, Rest Latin America Middle East Africa South Africa, GCC Rest Middle East Africa Access Full Report, here: Major points covered Artificial Intelligence Stadium market report are: The report offers competitive landscape market strategies key market players product offerings The report provides historic data 2019, forecast data 2020 2027 global Artificial Intelligence Stadium market. SWOT analysis key players mentioned research report The report covers PESTAL analysis Potters Five Forces analysis global Artificial Intelligence Stadium market. The report provides information key manufacturers, Artificial Intelligence Stadium manufacturing cost structure, major raw materials suppliers. The report covers detailed overview Covid19 impact global Artificial Intelligence Stadium market Detailed information drivers, opportunities, restraints Artificial Intelligence Stadium market The report provides competitive analysis Artificial Intelligence Stadium market key product segments market Buy single user discounted price now: : We Zeal Insider aim global leaders qualitative predictive analysis seat identifying worldwide industrial trends opportunities mapping silver platter. We specialize identifying calibers markets robust activities constantly pushing areas allow clientele base making innovative, optimized, integrated strategic business decisions order ahead competition leaps bounds. Our researchers achieve mammoth task conducting sound research data points scattered carefully placed equatorial regions. Us: Zeal Insider 1st Floor, Harikrishna Building, Samarth Nagar, New Sanghvi, Pune 411027 India tel: 918149441100 GMT Office Hours tel: 17738002974 [emailprotected] Impact Covid19 Machine Machine M2M Homeland Security Market 20202028 ENSCO, KORE Wireless Group, Northrop Grumman, ORBCOMM, Seagull Maritime Security, Thales, etc. Global Commercial Vehicle EGR System Market 2020 Witness Huge Growth 2026 BorgWarner, Cummins, Delphi Automotive, Faurecia, MAHLE, Tenneco, for: Recent Posts Van Antivibration Material Market Future Need Assessment 2030 Midstream Oil Gas Market Estimated Forecast Analysis 20212030 Orange Essential Oil Market Set Witness YoY Growth 20212030 Bakery Products Market Growing CAGR : Analysis Prevailing Industry Opportunities Winning Manufacturers 4, 4Diaminodicyclohexylmethane Volume Analysis, Segments, Value Share Key Trends 20212030 2021 Reviewindependent Powered WordPress To Up
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Global Healthcare Artificial Intelligence Market Size, Share, Value, and Competitive Landscape 2018-2023
Post author
By marketresearchfuture
Post date
February 9, 2021
Healthcare Artificial Intelligence (AI) Market Scenario
Global healthcare artificial intelligence market is presumed to register 51.9% CAGR during the forecast period (2018-2023) owing to the growing adoption of AI solutions among the healthcare providers, asserts Market Research Future (MRFR). Artificial intelligence (AI) is regarded as the next frontier for healthcare innovation. In the healthcare sector, artificial intelligence is being applied for sorting structured and unstructured data. Potential of AI spans across healthcare verticals. AI is considered to play a vital role in overcoming some of the toughest hurdles being faced by healthcare providers.
GET FREE SAMLE REPORT : https://www.marketresearchfuture.com/sample_request/5681
Drivers and Constraints Impacting the Market
The augmented focus on the use of artificial intelligence in the healthcare sector in the recent past. The adoption of AI solutions in the healthcare sector is growing rapidly owing to the growing number of healthcare applications of AI coupled with its rising demand for medical research. AI is also being employed in clinical laboratories, hospitals, and research facilities, which is further contributing to the growth of the market during the assessment period. Broader applications of AI and technological advancements in deep learning have further led to its increased adoption in the healthcare sector across the globe.
Technological companies are highly investing in the development of AI for research and healthcare, which is further boosting the market growth. Moreover, AI in the healthcare sector is being used for prognosis, diagnosis, and therapy, thereby stimulating its growth during the appraisal period. AI has also developed several applications across the healthcare sector, such as delivery of health services, detection of diseases, drug discovery, and management of chronic conditions. AI in the healthcare sector ensures effectiveness and efficiency, which is further considered to trigger its adoption in the coming years. AI also enables the healthcare sector to overcome the crisis of human resource by providing productivity through automation of complicated tasks. Such factors are presumed to contribute to the market growth.
ALSO READ : https://blog.naver.com/sapanas/221995305501
On the flip side, the high cost associated with the implementation of AI in the healthcare sector coupled with the stringent guidelines regulating AI are some of the major concerns considered to dampen the market growth during the appraisal period.
Global Healthcare Artificial Intelligence Market: Segmental Analysis
The global healthcare artificial intelligence market has been segmented on the basis of component, application, technology, end-user, and region.
By mode of component, the global healthcare artificial intelligence market has been segmented into software, hardware, and services.
By mode of application, the global healthcare artificial intelligence market has been segmented into virtual nursing assistant, robot-assisted surgery, clinical trial, dosage error reduction, automated image diagnosis, and preliminary diagnosis. Among these, the robot-assisted surgery segment is considered to hold the most significant share in the global market owing to the flexibility and high precision assured by robot-assisted surgeries while performing complex procedures.
By mode of technology, the global healthcare artificial intelligence market has been segmented into querying method, machine learning, and natural language processing. Among these, the machine learning segment is considered to demonstrate the highest CAGR owing to the ability to handle multi-dimensional data while facilitating a reduction in the process time cycle.
By mode of end-user, the global healthcare artificial intelligence market has been segmented into pharmaceutical & biotechnology companies, hospital & diagnostic centers, and academic & research laboratories. Among these, the hospital & diagnostic centers segment holds the largest market share owing to the extensive application of healthcare AI in robotic surgeries and diagnostic imaging.
ALSO READ : http://sapanas.over-blog.com/2020/06/covid-19-impact-on-healthcare-artificial-intelligence-ai-market-expectations-growth-trends-highlighted-until-2023.html
Healthcare Artificial Intelligence (AI) Market Regional Insights
Geographically, the healthcare artificial intelligence market span across regions namely, Europe, America, Asia Pacific, Latin America, and the Middle East & Africa.
Among all the regions, America is predicted to dominate the global healthcare artificial intelligence market due to the growth witnessed in the biotechnology industry, presence of a developed healthcare sector, and rising cases of robotic surgeries.
The European region has secured the second position across the globe and is considered to garner USD 3453.4 million during the appraisal period. The growth is attributed to the extensive research and development activities for healthcare AI. Also, increased funding is responsible for catalyzing the proliferation of the regional market.
The Asia Pacific region is predicted to strike a relatively higher CAGR owing to the increasing therapeutic demand for chronic diseases coupled with the fast-developing healthcare sector.
ALSO READ : https://www.tradove.com/blog/Covid-19-Impact-on-Healthcare-Artificial-Intelligence-AI-Market-Expansion-Projected-To-Gain-An-Uptick-By-2023.html
Healthcare Artificial Intelligence (AI) Industry Updates
December 25, 2018: By harnessing digital health data, artificial intelligence, and deep learning, Shefayim-based health care start-up Zebra Medical Vision is aiming towards identifying the exotic diagnoses; the zebras by offering radiologists with high-performance algorithms in order to identify accurately and prevent breast, lung, cardiovascular, liver, and bone diseases.
Healthcare Artificial Intelligence (AI) Market Competitive Dashboard
The prominent players operating the global healthcare artificial intelligence market are Google, General Electric, IBM Watson Health, Microsoft Corporation, Intel Corporation, DEEP GENOMICS, Koninklijke Philips N.V., General Vision, NVIDIA Corporation, CloudMedx Inc., Next IT Corp., and Stryker.
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Global Healthcare Artificial Intelligence Market Size, Share, Value, Competitive Landscape 20182023 Reviewindependent Skip content Reviewindependent Menu Coronavirus Energy News Space All News for: Close search Close Menu Coronavirus Energy News Space All News Categories All News Global Healthcare Artificial Intelligence Market Size, Share, Value, Competitive Landscape 20182023 Post author By marketresearchfuture Post date February 9, 2021 Healthcare Artificial Intelligence AI Market Scenario Globalhealthcare artificial intelligence marketis presumed register 51.9 CAGR forecast period 20182023 owing growing adoption AI solutions healthcare providers, asserts Market Research Future MRFR. Artificial intelligence AI regarded frontier healthcare innovation. In healthcare sector, artificial intelligence applied sorting structured unstructured data. Potential AI spans healthcare verticals. AI considered play vital role overcoming toughest hurdles faced healthcare providers. GET FREE SAMLE REPORT : Drivers Constraints Impacting Market The augmented focus use artificial intelligence healthcare sector recent past. The adoption AI solutions healthcare sector growing rapidly owing growing number healthcare applications AI coupled rising demand medical research. AI employed clinical laboratories, hospitals, research facilities, contributing growth market assessment period. Broader applications AI technological advancements deep learning led increased adoption healthcare sector globe. Technological companies highly investing development AI research healthcare, boosting market growth. Moreover, AI healthcare sector prognosis, diagnosis, therapy, stimulating growth appraisal period. AI developed applications healthcare sector, delivery health services, detection diseases, drug discovery, management chronic conditions. AI healthcare sector ensures effectiveness efficiency, considered trigger adoption coming years. AI enables healthcare sector overcome crisis human resource providing productivity automation complicated tasks. Such factors presumed contribute market growth. ALSO READ : On flip side, high cost associated implementation AI healthcare sector coupled stringent guidelines regulating AI major concerns considered dampen market growth appraisal period. Global Healthcare Artificial Intelligence Market: Segmental Analysis The global healthcare artificial intelligence market segmented basis component, application, technology, enduser, region. By mode component, global healthcare artificial intelligence market segmented software, hardware, services. By mode application, global healthcare artificial intelligence market segmented virtual nursing assistant, robotassisted surgery, clinical trial, dosage error reduction, automated image diagnosis, preliminary diagnosis. Among these, robotassisted surgery segment considered hold significant share global market owing flexibility high precision assured robotassisted surgeries performing complex procedures. By mode technology, global healthcare artificial intelligence market segmented querying method, machine learning, natural language processing. Among these, machine learning segment considered demonstrate highest CAGR owing ability handle multidimensional data facilitating reduction process time cycle. By mode enduser, global healthcare artificial intelligence market segmented pharmaceutical biotechnology companies, hospital diagnostic centers, academic research laboratories. Among these, hospital diagnostic centers segment holds largest market share owing extensive application healthcare AI robotic surgeries diagnostic imaging. ALSO READ : Healthcare Artificial Intelligence AI Market Regional Insights Geographically, healthcare artificial intelligence market span regions namely, Europe, America, Asia Pacific, Latin America, Middle East Africa. Among regions, America predicted dominate global healthcare artificial intelligence market growth witnessed biotechnology industry, presence developed healthcare sector, rising cases robotic surgeries. The European region secured second position globe considered garner USD 3453.4 million appraisal period. The growth attributed extensive research development activities healthcare AI. Also, increased funding responsible catalyzing proliferation regional market. The Asia Pacific region predicted strike relatively higher CAGR owing increasing therapeutic demand chronic diseases coupled fastdeveloping healthcare sector. ALSO READ : Healthcare Artificial Intelligence AI Industry Updates December 25, 2018: By harnessing digital health data, artificial intelligence, deep learning, Shefayimbased health care startup Zebra Medical Vision aiming identifying exotic diagnoses; zebras offering radiologists highperformance algorithms order identify accurately prevent breast, lung, cardiovascular, liver, bone diseases. Healthcare Artificial Intelligence AI Market Competitive Dashboard The prominent players operating global healthcare artificial intelligence market Google, General Electric, IBM Watson Health, Microsoft Corporation, Intel Corporation, DEEP GENOMICS, Koninklijke Philips N.V., General Vision, NVIDIA Corporation, CloudMedx ., Next IT Corp., Stryker. 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Global AI Baby Monitors Market Insights, Overview, Analysis And Forecast 2020-2026
Post author
By marketresearchfuture
Post date
February 23, 2021
The research report has incorporated the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. This section also provides the scope of different segments and applications that can potentially influence the market in the future. The detailed information is based on current trends and historic milestones. This section also provides an analysis of the volume of production about the global market and also about each type from 2015 to 2026. This section mentions the volume of production by region from 2015 to 2026. Pricing analysis is included in the report according to each type from the year 2015 to 2026, manufacturer from 2015 to 2020, region from 2015 to 2020, and global price from 2015 to 2026.
GET FREE SAMPLE REPORT: https://www.wiseguyreports.com/sample-request/5169165-global-ai-baby-monitors-market-research-report-2020
A thorough evaluation of the restrains included in the report portrays the contrast to drivers and gives room for strategic planning. Factors that overshadow the market growth are pivotal as they can be understood to devise different bends for getting hold of the lucrative opportunities that are present in the ever-growing market. Additionally, insights into market expert’s opinions have been taken to understand the market better.
Also Read : http://www.marketwatch.com/story/standalone-cancer-registry-software-market-2021-share-growth-trend-industry-analysis-and-forecast-to-2026-2021-02-03
Market Segment Analysis
The research report includes specific segments by Type and by Application. Each type provides information about the production during the forecast period of 2015 to 2026. Application segment also provides consumption during the forecast period of 2015 to 2026. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
Segment by Type
Short Arc Light
Long Arc Light
Also Read : https://icrowdnewswire.com/2021/02/03/window-profile-market-global-industry-analysis-size-share-growth-trends-and-forecast-2025/
Market Segment Analysis
The research report includes specific segments by Type and by Application. Each type provides information about the production during the forecast period of 2015 to 2026. Application segment also provides consumption during the forecast period of 2015 to 2026. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
Segment by Type
Audio Baby Monitor
Video Baby Monitor
Segment by Application
Also Read : http://www.marketwatch.com/story/global-e-government-identity-management-market-size-status-and-forecast-2020-2026-2021-02-11
Global AI Baby Monitors Market: Regional Analysis
The report offers in-depth assessment of the growth and other aspects of the AI Baby Monitors market in important regions, including the U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, and Brazil, etc. Key regions covered in the report are North America, Europe, Asia-Pacific and Latin America.
Also Read: http://www.marketwatch.com/story/solar-battery-system-market-global-industry-analysis-size-share-trends-growth-and-forecast-2021—2027-2021-02-09
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Wise Guy Reports Is Part Of The Wise Guy Research Consultants Pvt. Ltd. And Offers Premium Progressive Statistical Surveying, Market Research Reports, Analysis & Forecast Data For Industries And Governments Around The Globe.
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Global AI Baby Monitors Market Insights, Overview, Analysis And Forecast 20202026 Reviewindependent Skip content Reviewindependent Menu Coronavirus Energy News Space All News for: Close search Close Menu Coronavirus Energy News Space All News Categories All News Global AI Baby Monitors Market Insights, Overview, Analysis And Forecast 20202026 Post author By marketresearchfuture Post date February 23, 2021 The research report incorporated analysis different factors augment markets growth. It constitutes trends, restraints, drivers transform market positive negative manner. This section provides scope different segments applications potentially influence market future. The detailed information based current trends historic milestones. This section provides analysis volume production global market type 2015 2026. This section mentions volume production region 2015 2026. Pricing analysis included report according type year 2015 2026, manufacturer 2015 2020, region 2015 2020, global price 2015 2026. GET FREE SAMPLE REPORT: A thorough evaluation restrains included report portrays contrast drivers gives room strategic planning. Factors overshadow market growth pivotal understood devise different bends getting hold lucrative opportunities present evergrowing market. Additionally, insights market experts opinions taken understand market better. Also Read : Market Segment Analysis The research report includes specific segments Type Application. Each type provides information production forecast period 2015 2026. Application segment provides consumption forecast period 2015 2026. Understanding segments helps identifying importance different factors aid market growth. Segment Type Short Arc Light Long Arc Light Also Read : Market Segment Analysis The research report includes specific segments Type Application. Each type provides information production forecast period 2015 2026. Application segment provides consumption forecast period 2015 2026. Understanding segments helps identifying importance different factors aid market growth. Segment Type Audio Baby Monitor Video Baby Monitor Segment Application Also Read : Global AI Baby Monitors Market: Regional Analysis The report offers indepth assessment growth aspects AI Baby Monitors market important regions, including U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, Taiwan, Southeast Asia, Mexico, Brazil, etc. Key regions covered report North America, Europe, AsiaPacific Latin America. Also Read: .: Wise Guy Reports Is Part Of The Wise Guy Research Consultants Pvt. Ltd. And Offers Premium Progressive Statistical Surveying, Market Research Reports, Analysis Forecast Data For Industries And Governments Around The Globe. Us: Norah Trnt [emailprotected] Ph: 16282580070 Us Ph: 44 2035002763 Uk Global Photochromic Films Market Size, Share, Value, Competitive Landscape 20202026 Global 5G Measurement Equipment Market Statistics, CAGR, Outlook, Covid19 Impact 2020 for: Recent Posts Global Inorganic Ceramic Ultrafiltration Membrane MarketInsights, Overview, Analysis Forecast 2026 Global Solid State Lighting Connectors Market Insights, Overview, Analysis Forecast 20202026 Global Smart Battery Market Statistics, CAGR, Outlook, Covid19 Impact 20202026 Global Electrical Electronics Testing, Inspection And Certification Market Size, Share, Value, And Competitive Landscape 2021 2023 Global Solid Relay Market Insights, Overview, Analysis Forecast 20202026 Google NewsMedical Device Security Market: GLOBAL OPPORTUNITY ANALYSIS AND INDUSTRY FORECAST 2023New study:Heart Failure Testing Market Overview, Raw materials Equipment, Shipment, Industry Growth Analysis: 2026CBD Gummies Market 2021 Is Booming Across Globe Explored Latest ResearchPatientControlled Analgesia Pumps Market Size 2021 Driving Factors Manufacturers Smiths, Baxter, Micrel Medical, Fresenius Kabi, B.Braun MelsungenWhy GMs switch EVs critical comparison Keystone XLs cancellationThe secret moving past EVs pilotsYou enjoy Satellite IoT Internet Connection paying 5 device monthHewlett Packard sends International Space Station secondgeneration Spaceborne Computer end February 2021 plannedEdmunds Tested: Electric car range consumptionGMs Profits fuelengine trucks SUVs fuel Electric questDetails Collaboration Osprey Technology Acquisition Corp BlackSkyAlways track transport fleet cargo settling Satellite Internet ConnectionA detailed discussion impact existence satellites world live inPresident Biden electric vehicles plan test dispute raise battery makersElectric vehicles developing rapidly, data use obsoleteThe industry continues high demand smallsat deployment servicesThe Crew Dragon seat contest fell short fundraising targetThales Alenia chosen construct Telesats broadband constellationRichard Shelby, senator significant control NASA set retireDrax Group purchase 652 million Pinnacle Renewable Energy 2021 Reviewindependent Powered WordPress To Up
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https://satprnews.com/2023/06/28/revolutionizing-satellite-communication-the-chatgpt-advantage/
| 2023-06-29T00:00:00 |
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Revolutionizing Satellite Communication: The ChatGPT Advantage – satPRnews
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Revolutionizing Satellite Communication: The ChatGPT Advantage – satPRnews
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Revolutionizing Satellite Communication: The ChatGPT Advantage
In today’s world, communication is key. With the advancement of technology, communication has become more accessible and convenient. One of the most significant advancements in communication technology is satellite communication. Satellite communication has revolutionized the way we communicate, especially in remote areas where traditional communication methods are not available. However, satellite communication has its challenges, such as high costs and limited accessibility. This is where ChatGPT comes in.
ChatGPT is a new satellite communication service that is changing the game. ChatGPT is a chat-based communication service that allows users to communicate with anyone, anywhere, at any time. ChatGPT is a game-changer because it is affordable, accessible, and easy to use.
One of the biggest advantages of ChatGPT is its affordability. Traditional satellite communication services are expensive, making them inaccessible to many people. ChatGPT, on the other hand, is affordable, making it accessible to everyone. ChatGPT offers a pay-as-you-go service, which means that users only pay for what they use. This makes it an affordable option for people who only need satellite communication services occasionally.
Another advantage of ChatGPT is its accessibility. Traditional satellite communication services are limited in their coverage area. ChatGPT, on the other hand, has global coverage. This means that users can communicate with anyone, anywhere, at any time. ChatGPT’s global coverage makes it an ideal option for people who travel frequently or work in remote areas.
ChatGPT is also easy to use. Traditional satellite communication services require specialized equipment and technical knowledge. ChatGPT, on the other hand, is a chat-based service that can be accessed using any device with an internet connection. This makes it easy for anyone to use, regardless of their technical knowledge.
ChatGPT is empowering satellite communication customers by providing them with an affordable, accessible, and easy-to-use communication service. ChatGPT is not only changing the game in satellite communication but also in other industries such as emergency response, disaster relief, and remote healthcare.
In emergency response situations, communication is critical. Traditional communication methods may not be available in these situations, making satellite communication the only option. ChatGPT’s affordability, accessibility, and ease of use make it an ideal option for emergency response teams.
In disaster relief situations, communication is also critical. Traditional communication methods may be disrupted in these situations, making satellite communication the only option. ChatGPT’s global coverage and ease of use make it an ideal option for disaster relief teams.
In remote healthcare, communication is essential for providing quality care. Traditional communication methods may not be available in remote areas, making satellite communication the only option. ChatGPT’s affordability, accessibility, and ease of use make it an ideal option for remote healthcare providers.
In conclusion, ChatGPT is revolutionizing satellite communication by providing an affordable, accessible, and easy-to-use communication service. ChatGPT is empowering satellite communication customers by providing them with a service that can be used in a variety of industries, including emergency response, disaster relief, and remote healthcare. ChatGPT is changing the game in satellite communication and is a service that everyone should consider using.
Author adminPosted on June 28, 2023
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Revolutionizing Satellite Communication: The ChatGPT Advantage satPRnews Skip content satPRnews Space AI Reports Menu News Revolutionizing Satellite Communication: The ChatGPT Advantage In todays world, communication key. With advancement technology, communication accessible convenient. One significant advancements communication technology satellite communication. Satellite communication revolutionized way communicate, especially remote areas traditional communication methods available. However, satellite communication challenges, high costs limited accessibility. This ChatGPT comes in. ChatGPT new satellite communication service changing game. ChatGPT chatbased communication service allows users communicate anyone, anywhere, time. ChatGPT gamechanger affordable, accessible, easy use. One biggest advantages ChatGPT affordability. Traditional satellite communication services expensive, making inaccessible people. ChatGPT, hand, affordable, making accessible everyone. ChatGPT offers payasyougo service, means users pay use. This makes affordable option people need satellite communication services occasionally. Another advantage ChatGPT accessibility. Traditional satellite communication services limited coverage area. ChatGPT, hand, global coverage. This means users communicate anyone, anywhere, time. ChatGPTs global coverage makes ideal option people travel frequently work remote areas. ChatGPT easy use. Traditional satellite communication services require specialized equipment technical knowledge. ChatGPT, hand, chatbased service accessed device internet connection. This makes easy use, regardless technical knowledge. ChatGPT empowering satellite communication customers providing affordable, accessible, easytouse communication service. ChatGPT changing game satellite communication industries emergency response, disaster relief, remote healthcare. In emergency response situations, communication critical. Traditional communication methods available situations, making satellite communication option. ChatGPTs affordability, accessibility, ease use ideal option emergency response teams. In disaster relief situations, communication critical. Traditional communication methods disrupted situations, making satellite communication option. ChatGPTs global coverage ease use ideal option disaster relief teams. In remote healthcare, communication essential providing quality care. Traditional communication methods available remote areas, making satellite communication option. ChatGPTs affordability, accessibility, ease use ideal option remote healthcare providers. In conclusion, ChatGPT revolutionizing satellite communication providing affordable, accessible, easytouse communication service. ChatGPT empowering satellite communication customers providing service variety industries, including emergency response, disaster relief, remote healthcare. ChatGPT changing game satellite communication service consider using. Author adminPosted June 28, 2023 Post navigation Previous Previous post: Connecting Vatutine: A Review Starlink Satellite Internets Performance UkraineNext Next post: From Filmmaking Surveying: DJI Enterprise Solutions Every Business Application. for: Recent Posts Benefits Using Hytera PD665 Handheld Digital TwoWay Radio VHF Communication Benefits Using Lahoux LVS7 Standard Night Vision Goggle 5 Reasons Why Starlink Satellite Internet Game Changer Tokmak, Ukraine From Filmmaking Surveying: DJI Enterprise Solutions Every Business Application. Revolutionizing Satellite Communication: The ChatGPT Advantage Connecting Vatutine: A Review Starlink Satellite Internets Performance Ukraine Overview Lahoux LVS31 Onyx Pro ECHO Night Vision Binocular The Advantages Using Satellites Remote Sensing Mapping Advantages Using Satellites SpaceBased Energy Generation The Benefits Starlink Satellite Internet Perevalsk News satPRnews Who Proudly powered WordPress
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] | 1 | 5,091 |
https://scale.com/blog/scales-large-language-model-toolkit
| 2023-05-24T00:00:00 |
en
|
Introducing: Scale’s Large Language Model Toolkit | Blog | Scale AI
|
Introducing: Scale’s Large Language Model Toolkit | Blog | Scale AIProductsGovernmentSolutionsCustomersPricingResourcesCompanyProductsScale Data EngineAnnotate, curate, and collect dataAutomotiveUnlock L2 to L5 autonomyGenerative AI & RLHFPower generative AI modelsScale SpellbookThe platform for LLM appsScale Generative AI PlatformFull-stack generative AIScale ForgeAI powered marketing suiteScale E-Commerce AIEnhance E-commerce dataScale DonovanAI solutions for FederalSolutionsRetail & eCommerceDefenseLogisticsAutonomous VehiclesRoboticsAR/VRContent & LanguageSmart Port LabFederal LLMsResourcesResource LibraryBlogDocumentationEventsGuidesOpen DatasetsAI Readiness Report 2023CompanyAboutContactCareersSecurityLegalBook a DemoLog InblogEngineeringIntroducing: Scale’s Large Language Model Toolkitby Sophia Luo on March 22nd, 2023Getting data to train and evaluate your large language models has never been more Rapid! Introducing…Scale’s Large Language Model Toolkit!
We’ve developed expedited workflows to help you set up projects within Rapid, Scale’s self-serve data labeling tool. Sign up today to try it out and get $20 in free credits.
After signing up, you’ll see all of our available project templates and our “LLM Training Toolkit” front and center. We’ve divided our LLM toolkit into three buckets according to different workflows:
Demonstration Data: Collect human-generated text over various domains and use cases
Comparison Data: Evaluate your model outputs with human feedback
Trust & Safety: Align your model to produce factually correct and safe content
Demonstration Data
We have two subcategories of project types under the “Demonstration Data” bucket.
(1) InstructGPT-style presets: Each of these comes with expert-written instructions, a preset taxonomy with the ability to add a customization section for your specific use case, the ability to upload your own prompts or have Scale create them for you, and a pre-trained workforce that has significant experience in these types of prompts. Check out Section 3.4 of the InstructGPT paper for yourself! 😉
(2) Demonstration corrections: If you have demonstrations or model outputs that need corrections, we can also assist you. Just upload your data or hook up your model endpoint and setup your taxonomy accordingly so that our labelers can get that done for you quickly.
Comparison Data
With our workflows, you can easily customize comparison annotation projects and quickly scale to production. You can ask a labeler to rank, rate on a Likert scale, and classify model outputs. You can either upload these model outputs or configure a model endpoint for labelers to interact with as they are making the comparisons.
Trust & Safety
Aligning your models with Rapid speed has never been easier. With our expertise and specialized workforce, we can work with you to identify problematic model output.
We support several use cases, including Grounded Generation, Red Teaming, Completion Citation, and Research-Based Correction.
Grounded Generation: Ask a labeler to research or read certain sources to verify uploaded model output.
Red Teaming*: Provide an endpoint for labelers to chat with and elicit unsafe model outputs.
Completion Citation*: Ask a labeler to attribute various phrases to sources that the information came from.
Research-Based Correction*: Upload model output for labelers to find better sources for, edit/rewrite completions given any linked sources, add/edit/remove missing citations, etc.
*Note: Use cases marked with * are currently not available via our self-serve platform. If you are interested, please contact sales to learn more.
For our Grounded Generation use case, we offer two self-serve, popular verification methods.
(1) Multi-class Classification: This involves selecting all error classes that pertain to the text via confidence-based consensus.
(2) Named Entity Recognition: This involves highlighting spans of erroneous text and indicating the relevant error types for each span.
And this is just the beginning! Our toolkit is constantly expanding, and we are excited to continuously be solving some of the world’s hardest data annotation problems. Not seeing what you’re looking for in the toolkit today or have other questions? Email us at: [email protected] Started TodayGet Started →Get a Demo →ProductsScale Data EngineScale Generative AI PlatformScale Government AI PlatformScale SpellbookSolutionsRetail & eCommerceDefenseLogisticsAutonomous VehiclesRoboticsAR/VRContent & LanguageRLHFCompanyAboutPricingCareersSecurityLegalResourcesBlogCustomersEventsOpen DatasetsInterviewsDocumentationGuidesCommunityAI Readiness Report 2023GuidesData LabelingML Model TrainingDiffusion ModelsGuide to AI for eCommerceComputer Vision ApplicationsLarge Language [email protected]@[email protected]@scale.comCopyright © 2023 Scale AI, Inc. All rights reserved.Terms of Use & Privacy Policy
|
Introducing: Scale’s Large Language Model Toolkit
|
Introducing: Scales Large Language Model Toolkit Blog Scale AIProductsGovernmentSolutionsCustomersPricingResourcesCompanyProductsScale Data EngineAnnotate, curate, collect dataAutomotiveUnlock L2 L5 autonomyGenerative AI RLHFPower generative AI modelsScale SpellbookThe platform LLM appsScale Generative AI PlatformFullstack generative AIScale ForgeAI powered marketing suiteScale ECommerce AIEnhance Ecommerce dataScale DonovanAI solutions FederalSolutionsRetail eCommerceDefenseLogisticsAutonomous VehiclesRoboticsARVRContent LanguageSmart Port LabFederal LLMsResourcesResource LibraryBlogDocumentationEventsGuidesOpen DatasetsAI Readiness Report 2023CompanyAboutCareersSecurityLegalBook DemoLog InblogEngineeringIntroducing: Scales Large Language Model Toolkitby Sophia Luo March 22nd, 2023Getting data train evaluate large language models Rapid IntroducingScales Large Language Model Toolkit Weve developed expedited workflows help set projects Rapid, Scales selfserve data labeling tool. Sign today try 20 free credits. After signing up, youll available project templates LLM Training Toolkit center. Weve divided LLM toolkit buckets according different workflows: Demonstration Data: Collect humangenerated text domains use cases Comparison Data: Evaluate model outputs human feedback Trust Safety: Align model produce factually correct safe content Demonstration Data We subcategories project types Demonstration Data bucket. 1 InstructGPTstyle presets: Each comes expertwritten instructions, preset taxonomy ability add customization section specific use case, ability upload prompts Scale create you, pretrained workforce significant experience types prompts. Check Section 3.4 theInstructGPT paper 2 Demonstration corrections: If demonstrations model outputs need corrections, assist you. Just upload data hook model endpoint setup taxonomy accordingly labelers quickly. Comparison Data With workflows, easily customize comparison annotation projects quickly scale production. You ask labeler rank, rate Likert scale, classify model outputs. You upload model outputs configure model endpoint labelers interact making comparisons. Trust Safety Aligning models Rapid speed easier. With expertise specialized workforce, work identify problematic model output. We support use cases, including Grounded Generation, Red Teaming, Completion Citation, ResearchBased Correction. Grounded Generation: Ask labeler research read certain sources verify uploaded model output. Red Teaming: Provide endpoint labelers chat elicit unsafe model outputs. Completion Citation: Ask labeler attribute phrases sources information came from. ResearchBased Correction: Upload model output labelers better sources for, editrewrite completions given linked sources, addeditremove missing citations, etc. Note: Use cases marked currently available selfserve platform. If interested, contact sales learn more. For Grounded Generation use case, offer selfserve, popular verification methods. 1 Multiclass Classification: This involves selecting error classes pertain text confidencebased consensus. 2 Named Entity Recognition: This involves highlighting spans erroneous text indicating relevant error types span. And beginning Our toolkit constantly expanding, excited continuously solving worlds hardest data annotation problems. Not seeing youre looking toolkit today questions? Email at: scale_rapid Started TodayGet Started Get Demo ProductsScale Data EngineScale Generative AI PlatformScale Government AI PlatformScale SpellbookSolutionsRetail eCommerceDefenseLogisticsAutonomous VehiclesRoboticsARVRContent LanguageRLHFCompanyAboutPricingCareersSecurityLegalResourcesBlogCustomersEventsOpen DatasetsInterviewsDocumentationGuidesCommunityAI Readiness Report 2023GuidesData LabelingML Model TrainingDiffusion ModelsGuide AI eCommerceComputer Vision ApplicationsLarge Language Modelssales 2023 Scale AI, . .Terms Use
| 2,023 |
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] | 1 | 5,092 |
https://scienceblog.com/524704/block-by-block-researchers-use-minecraft-to-advance-artificial-intelligence/
| 2021-08-11T00:00:00 |
en
|
Block by block: Researchers use Minecraft to advance artificial intelligence - ScienceBlog.com
|
Block by block: Researchers use Minecraft to advance artificial intelligence - ScienceBlog.com
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A Minecraft agent, operated by computer science master's student Ayushi Agrawal, explores a rainy environment. Researchers plan to test next-generation artificial intelligence skills within the game. IMAGE: SCREENSHOT PROVIDED BY AYUSHI AGRAWAL
Block by block: Researchers use Minecraft to advance artificial intelligence
August 11, 2021 Penn State
Steve may be able to saw wood, make tools, explore caves or dig for precious stones, but the Minecraft avatar cannot understand that each of these steps build to the ultimate goal of obtaining diamonds.
Alan Wagner, assistant professor of aerospace engineering at Penn State, and Sarah Rajtmajer, assistant professor of information sciences and technology, recently received a $900,000 grant from the United States Air Force Office of Scientific Research to investigate next-generation artificial intelligence (AI) skills and perhaps make Steve a little smarter.
The suggestion that people create abstract mental representations to plan for future events and solve multi-step tasks is identified in the literature as the Construal Level Theory, according to Wagner. People think about future events, consciously or unconsciously, using memories and experiences to generate a plan for a future situation.
Wagner and Rajtmajer plan to create AI agents that can mirror the human ability to plan for future events, and then use the video game Minecraft as a tool to test the new software.
“We will create an app that will be able to direct agents to complete certain complex tasks, and then integrate that app into Minecraft to run tests on the software,” Wagner said. “The agent that we create, in this case a Minecraft avatar, will be able to think in abstractions, or in the past, present and future, to solve problems.”
Minecraft, owned by Microsoft and released in 2011, regularly hosts “challenges,” where AI creators compete to solve a problem on the game, such as mining a diamond. That challenge is one scenario Wagner and Rajtmajer will test with the new AI software.
To create the software, Wagner’s former graduate student, Ali Ayub, developed a clustering technique for creating different levels of AI abstract thinking. He named the technique centrally based concept learning, or CBCL.
“The hope is to use CBCL as a tool to allow us to create these abstractions and use them in a variety of ways in the game,” Wagner said. “Minecraft has different types of wood, rocks or animals, for example, and you can tie them into the AI planning process and allow the agent to pick the thing it needs to solve a particular problem.”
If they are successful, according to Wagner, the AI software could contribute to advances in robotics, logistics management, solving problems for pilots in the air, building structures in space and transforming drone flight.
“I think this research has the opportunity to address a longstanding and fundamental challenge in agent-based modeling and behavioral game theory,” Rajtmajer said. “Current models of human social behavior are too simple and homogeneous to be applied to real-world behaviors. This work takes an important step toward representing elements of reasoning and social planning in AI.”
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Block by block: Researchers use Minecraft to advance artificial intelligence
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Block block: Researchers use Minecraft advance artificial intelligence Skip content Menu Menu Find Us Google News Revue Bloggers Topics Contribute A Minecraft agent, operated science masters student Ayushi Agrawal, explores rainy environment. Researchers plan test nextgeneration artificial intelligence skills game. IMAGE: SCREENSHOT PROVIDED BY AYUSHI AGRAWAL Block block: Researchers use Minecraft advance artificial intelligence August 11, 2021 Penn State Steve able saw wood, tools, explore caves dig precious stones, Minecraft avatar understand steps build ultimate goal obtaining diamonds. Alan Wagner, assistant professor aerospace engineering Penn State, Sarah Rajtmajer, assistant professor information sciences technology, recently received 900,000 grant United States Air Force Office Scientific Research investigate nextgeneration artificial intelligence AI skills Steve little smarter. The suggestion people create abstract mental representations plan future events solve multistep tasks identified literature Construal Level Theory, according Wagner. People think future events, consciously unconsciously, memories experiences generate plan future situation. Wagner Rajtmajer plan create AI agents mirror human ability plan future events, use video game Minecraft tool test new software. We create app able direct agents complete certain complex tasks, integrate app Minecraft run tests software, Wagner said. The agent create, case Minecraft avatar, able think abstractions, past, present future, solve problems. Minecraft, owned Microsoft released 2011, regularly hosts challenges, AI creators compete solve problem game, asmining diamond. That challenge scenario Wagner Rajtmajer test new AI software. To create software, Wagners graduate student, Ali Ayub, developed clustering technique creating different levels AI abstract thinking. He named technique centrally based concept learning, CBCL. The hope use CBCL tool allow create abstractions use variety ways game, Wagner said. Minecraft different types wood, rocks animals, example, tie AI planning process allow agent pick thing needs solve particular problem. If successful, according Wagner, AI software contribute advances robotics, logistics management, solving problems pilots air, building structures space transforming drone flight. I think researchhas opportunity toaddress longstanding fundamental challenge agentbased modeling behavioral game theory, Rajtmajer said. Current models human social behavior simple homogeneous applied realworld behaviors. This work takes important step representing elements reasoning social planning AI. COMMENTS: Let know think Twitter FacebookTwitterFacebookEmail Related newsletter Important news day. NASA Nano. Medicine Muons. Environment Energy. Categories Physics Mathematics, Technology Post navigation People manage asthma improve chances COVID19 The material press release comes originating research organization. Content edited style length. Want more? Sign daily email. Our Newsletter Important news day. NASA Nano. Medicine Muons. Environment Energy. Bloggers QA: We need think differently cool things The big picture Letter readers Dry season parasite behaviour provide new route malaria treatment Cooling warming 2021 Follow RSS XML feed SUBSCRIBE Important news day. NASA Nano. Medicine Muons. Environment Energy. Send Email Address Your Name Your Email Address Cancel Post sent check email addresses Email check failed, try Sorry, blog share posts email.
| 2,021 |
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https://sciencein.me/2020/04/15/data-science-platform-market-in-deep-analysis-and-experts-review-report-2019-2025/
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Data Science Platform Market In-deep Analysis And Experts Review Report 2019-2025 – Science In Me
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Data Science Platform Market In-deep Analysis And Experts Review Report 2019-2025
By irfan on April 15, 2020
The report titled “Data Science Platform Market” report will be very useful to get a stronger and effective business outlook. It provides an in-depth analysis of different attributes of industries such as trends, SWOT analysis, policies, and clients operating in several regions. The qualitative and quantitative analysis techniques have been used by analysts to provide accurate and applicable data to the readers, business owners and industry experts.
The Data Science Platform market was valued at 12500 Milion US$ in 2019 and is projected to reach 17700 Million US$ by 2025, at a CAGR of 28.91% during the forecast period.
In business functions, the logistics segment holds the largest market share and is gaining significant importance among corporates & enterprises. In the logistics industry, customer satisfaction, global expansion, strong delivery & transport network, and presence of wide global/local presence are the most essential factors. Data scientists apply advanced mathematics and statistics to address numerous business queries that delivers insights to management, thereby maximizing the return on assets and high Returns on Investments (RoI).
Available discount (Exclusive Offer Flat 30%)
Click the link to get a Sample Copy of the Report before purchase:
https://www.marketinsightsreports.com/reports/0809763867/global-data-science-platform-market-size-status-and-forecast-2025/inquiry?Source=Sciencein&Mode=47
The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market. Top Companies in the Global Data Science Platform Market: Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics and others.
Global Data Science Platform Market Split By Product Type and Applications:
This report segments the global Data Science Platform Market on the basis of Types are:
On-Premises
On-Demand
On the basis of Application, the Global Data Science Platform Market is segmented into:
Marketing
Sales
Logistics
Risk
Inquire for Discount:
https://www.marketinsightsreports.com/reports/0809763867/global-data-science-platform-market-size-status-and-forecast-2025/discount?Source=Sciencein&Mode=47
Regional Analysis For Data Science Platform Market:
For the comprehensive understanding of market dynamics, the global Data Science Platform Market is analysed across key geographies namely: United States, China, Europe, Japan, South-east Asia, India and others. Each of these regions is analysed on the basis of market findings across major countries in these regions for a macro-level understanding of the market.
Important Features that are under Offering and Key Highlights of the Reports:
– Detailed overview of Data Science Platform Market.
– Changing market dynamics of the Data Science Platform Market industry.
– In-depth segmentation of Data Science Platform Market by Type, Application etc.
– Historical, current and projected market size in terms of volume and value.
– Recent industry trends and developments.
– Competitive landscape of Data Science Platform Market.
– Strategies of key players and product offerings.
– Potential and niche segments/regions exhibiting promising growth.
Browse the report description and TOC:
https://www.marketinsightsreports.com/reports/0809763867/global-data-science-platform-market-size-status-and-forecast-2025?Source=Sciencein&Mode=47
We also offer customization on reports based on specific client requirement:
1- Country level analysis for any 5 countries of your choice.
2- Competitive analysis of any 5 key market players.
3- 40 analyst hours to cover any other data points
Please connect with our sales team ([email protected]).
Contact Us:
Irfan Tamboli (Head of Sales) – Market Insights Reports
Phone: + 1704 266 3234 | +91-750-707-8687
[email protected] | [email protected]
Author Recent Posts irfan Latest posts by irfan (see all) Cash Register Market Status and Business Outlook 2020 to 2026 - April 15, 2020 Action Cams Market Rising Trends and Growing Demand 2020 to 2026 - April 15, 2020 Bone Pendant Market Growing Demand and Business Outlook 2020 to 2026 - April 15, 2020
Published in All News Data Science Platform IndustryData Science Platform MarketData Science Platform Market AnalysisData Science Platform Market ForecastData Science Platform Market Trends
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Data Science Platform Market Indeep Analysis And Experts Review Report 20192025 Science In Me Press Enter skip content Science In Me Our Writers Us Science In MeApril 15, 2020Science, Space, Satellite Energy Markets open menu Back Applied Sciences Astronomy Earth Environment Energy Health NASA Space Technology Satellite All News Data Science Platform Market Indeep Analysis And Experts Review Report 20192025 By irfan April 15, 2020 The report titled Data Science Platform Market report useful stronger effective business outlook. It provides indepth analysis different attributes industries trends, SWOT analysis, policies, clients operating regions. The qualitative quantitative analysis techniques analysts provide accurate applicable data readers, business owners industry experts. The Data Science Platform market valued 12500 Milion US 2019 projected reach 17700 Million US 2025, CAGR 28.91 forecast period. In business functions, logistics segment holds largest market share gaining significant importance corporates enterprises. In logistics industry, customer satisfaction, global expansion, strong delivery transport network, presence wide globallocal presence essential factors. Data scientists apply advanced mathematics statistics address numerous business queries delivers insights management, maximizing return assets high Returns Investments RoI. Available discount Exclusive Offer Flat 30 Click link Sample Copy Report purchase: The report presents market competitive landscape corresponding detailed analysis major vendorkey players market. Top Companies Global Data Science Platform Market: Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics others. Global Data Science Platform Market Split By Product Type Applications: This report segments global Data Science Platform Market basis Types are: OnPremises OnDemand On basis Application, Global Data Science Platform Market segmented into: Marketing Sales Logistics Risk Inquire Discount: Regional Analysis For Data Science Platform Market: For comprehensive understanding market dynamics, global Data Science Platform Market analysed key geographies namely: United States, China, Europe, Japan, Southeast Asia, India others. Each regions analysed basis market findings major countries regions macrolevel understanding market. Important Features Offering Key Highlights Reports: Detailed overview Data Science Platform Market. Changing market dynamics Data Science Platform Market industry. Indepth segmentation Data Science Platform Market Type, Application etc. Historical, current projected market size terms volume value. Recent industry trends developments. Competitive landscape Data Science Platform Market. Strategies key players product offerings. Potential niche segmentsregions exhibiting promising growth. Browse report description TOC: We offer customization reports based specific client requirement: 1 Country level analysis 5 countries choice. 2 Competitive analysis 5 key market players. 3 40 analyst hours cover data points Please connect sales team [emailprotected]. 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| 2,020 |
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] | 1 | 5,094 |
https://scientect.com/uncategorized/1673651/mobile-artificial-intelligence-industry-market-growth-analysis-by-top-key-players-intel-corporation-qualcomm-incorporated-mediatek-microsoft-corporation/
| 2020-09-16T00:00:00 |
en
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MOBILE ARTIFICIAL INTELLIGENCE INDUSTRY (MARKET) GROWTH ANALYSIS BY TOP KEY PLAYERS – INTEL CORPORATION, QUALCOMM INCORPORATED, MEDIATEK, MICROSOFT CORPORATION – Scientect
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Global Mobile Artificial Intelligence Market is an in-depth study and analysis on growth of industry along with size and share of market. It also contain upcoming trends, outlook in production with key company’s analysis which is further classified by its type and applications given by expert’s opinions. They also added regional demand till 2025.
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The global Mobile Artificial Intelligence (MAI) market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
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This report studies the Mobile Artificial Intelligence (MAI) market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Mobile Artificial Intelligence (MAI) market by product type and applications/end industries.
The Manufacturers Analyzed in Global Mobile Artificial Intelligence (MAI) Market are –
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Inquire more or share a question if any before the purchase on this report @ https://www.orianresearch.com/enquiry-before-buying/1158156 .
Market Segment by Regions, regional analysis covers
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Loneliness, Insomnia, Drinking: The Costs of Working With AI Systems
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Loneliness, Insomnia, Drinking: The Costs of Working With AI Systems TOPICS:American Psychological AssociationAnxiety DisordersArtificial IntelligenceMental HealthPsychologyStress
By American Psychological Association
June 12, 2023
Frequent use of artificial intelligence (AI) systems at work can lead to employee loneliness, potentially causing insomnia and increased after-work drinking, according to a cross-cultural study published by the American Psychological Association.
Employees who frequently interact with artificial intelligence systems are more likely to experience loneliness that can lead to insomnia and increased after-work drinking, according to research published by the American Psychological Association.
Researchers conducted four experiments in the U.S., Taiwan, Indonesia, and Malaysia. Findings were consistent across cultures. The research will be published online today (June 12) in the Journal of Applied Psychology.
In a prior career, lead researcher Pok Man Tang, PhD, worked in an investment bank where he used AI systems, which led to his interest in researching the timely issue.
“The rapid advancement in AI systems is sparking a new industrial revolution that is reshaping the workplace with many benefits but also some uncharted dangers, including potentially damaging mental and physical impacts for employees,” said Tang, an assistant professor of management at the University of Georgia. “Humans are social animals, and isolating work with AI systems may have damaging spillover effects into employees’ personal lives.”
At the same time, working with AI systems may have some benefits. The researchers found that employees who frequently used AI systems were more likely to offer help to fellow employees, but that response may have been triggered by their loneliness and need for social contact.
Furthermore, the studies found that participants with higher levels of attachment anxiety – the tendency to feel insecure and worried about social connections – responded more strongly to working on AI systems with both positive reactions, such as helping others, and negative ones, such as loneliness and insomnia.
In one experiment, 166 engineers at a Taiwanese biomedical company who worked with AI systems were surveyed over three weeks about their feelings of loneliness, attachment anxiety and sense of belonging. Coworkers rated individual participants on their helpful behaviors, and family members reported on participants’ insomnia and after-work alcohol consumption. Employees who interacted more frequently with AI systems were more likely to experience loneliness, insomnia and increased after-work alcohol consumption, but also showed some helping behaviors toward fellow employees.
In another experiment with 126 real estate consultants in an Indonesian property management company, half were instructed not to use AI systems for three consecutive days while the other half were told to work with AI systems as much as possible. The findings for the latter group were similar to the previous experiment, except there was no association between the frequency of AI use and after-work alcohol consumption.
There were similar findings from an online experiment with 214 full-time working adults in the U.S. and another with 294 employees at a Malaysian tech company.
The research findings are correlational and don’t prove that work with AI systems causes loneliness or the other responses, just that there is an association among them.
Tang said that moving forward, developers of AI technology should consider equipping AI systems with social features, such as a human voice, to emulate human-like interactions. Employers also could limit the frequency of work with AI systems and offer opportunities for employees to socialize.
Team decision-making and other tasks where social connections are important could be done by people, while AI systems could focus more on tedious and repetitive tasks, Tang added.
“Mindfulness programs and other positive interventions also might help relieve loneliness,” Tang said. “AI will keep expanding so we need to act now to lessen the potentially damaging effects for people who work with these systems.”
Reference: “No Person Is an Island: Unpacking the Work and After-Work Consequences of Interacting With Artificial Intelligence” by Pok Man Tang, Joel Koopman, Ke Michael Mai, David De Cremer, Jack H. Zhang, Philipp Reynders, Chin Tung Stewart Ng and I-Heng Chen, 12 June 2023, Journal of Applied Psychology.
DOI: 10.1037/apl0001103
Authors: Pok Man Tang, PhD, University of Georgia; Joel Koopman, PhD, Texas A&M University; Ke Michael Mai, PhD, and David De Cremer, PhD, National University of Singapore; Jack H. Zhang, PhD, Nanyang Business School; Philipp Reynders, PhD, Cardiff University; Chin Tung Stewart Ng, MSc, and I-Heng Chen, PhD, National Sun Yat-sen University.
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Loneliness, Insomnia, Drinking: The Costs Working With AI Systems Home About Newsletter Trending News Facebook Twitter YouTube Pinterest Newsletter RSS Biology Chemistry Earth Health Physics Science Space Technology Hot Topics June 12, 2023 Loneliness, Insomnia, Drinking: The Costs Working With AI Systems June 12, 2023 Biodiversity Stake: The Dark Side Our Food Production System June 12, 2023 Twice Mystery: Astronomers Double Number Known Repeating Fast Radio Bursts June 12, 2023 Hopeful Findings Two Thirds Childhood Physical Abuse Survivors Are Psychologically Flourishing Adulthood June 12, 2023 Top Guns AI: MITs Maverick Approach Toward Safe Reliable Autopilots Flying for: Home Science News Loneliness, Insomnia, Drinking: The Costs Working With AI Systems TOPICS:American Psychological AssociationAnxiety DisordersArtificial IntelligenceMental HealthPsychologyStress By American Psychological Association June 12, 2023 Frequent use artificial intelligence AI systems work lead employee loneliness, potentially causing insomnia increased afterwork drinking, according crosscultural study published American Psychological Association. Employees frequently interact artificial intelligence systems likely experience loneliness lead insomnia increased afterwork drinking, according research published American Psychological Association. Researchers conducted experiments U.S., Taiwan, Indonesia, Malaysia. Findings consistent cultures. The research published online today June 12 Journal Applied Psychology. In prior career, lead researcher Pok Man Tang, PhD, worked investment bank AI systems, led researching timely issue. The rapid advancement AI systems sparking new industrial revolution reshaping workplace benefits uncharted dangers, including potentially damaging mental physical impacts employees, said Tang, assistant professor management University Georgia. Humans social animals, isolating work AI systems damaging spillover effects employees personal lives. At time, working AI systems benefits. The researchers employees frequently AI systems likely offer help fellow employees, response triggered loneliness need social contact. Furthermore, studies participants higher levels attachment anxiety tendency feel insecure worried social connections responded strongly working AI systems positive reactions, helping others, negative ones, loneliness insomnia. In experiment, 166 engineers Taiwanese biomedical company worked AI systems surveyed weeks feelings loneliness, attachment anxiety sense belonging. Coworkers rated individual participants helpful behaviors, family members reported participants insomnia afterwork alcohol consumption. Employees interacted frequently AI systems likely experience loneliness, insomnia increased afterwork alcohol consumption, showed helping behaviors fellow employees. In experiment 126 real estate consultants Indonesian property management company, half instructed use AI systems consecutive days half told work AI systems possible. The findings group similar previous experiment, association frequency AI use afterwork alcohol consumption. There similar findings online experiment 214 fulltime working adults U.S. 294 employees Malaysian tech company. The research findings correlational dont prove work AI systems causes loneliness responses, association them. Tang said moving forward, developers AI technology consider equipping AI systems social features, human voice, emulate humanlike interactions. Employers limit frequency work AI systems offer opportunities employees socialize. Team decisionmaking tasks social connections important people, AI systems focus tedious repetitive tasks, Tang added. Mindfulness programs positive interventions help relieve loneliness, Tang said. AI expanding need act lessen potentially damaging effects people work systems. Reference: No Person Is Island: Unpacking Work AfterWork Consequences Interacting With Artificial Intelligence Pok Man Tang, Joel Koopman, Ke Michael Mai, David De Cremer, Jack H. Zhang, Philipp Reynders, Chin Tung Stewart Ng IHeng Chen, 12 June 2023, Journal Applied Psychology. DOI: 10.1037apl0001103 Authors: Pok Man Tang, PhD, University Georgia; Joel Koopman, PhD, Texas AM University; Ke Michael Mai, PhD, David De Cremer, PhD, National University Singapore; Jack H. Zhang, PhD, Nanyang Business School; Philipp Reynders, PhD, Cardiff University; Chin Tung Stewart Ng, MSc, IHeng Chen, PhD, National Sun Yatsen University. SHARE TWEET REDDIT EMAIL SHARE Previous post More SciTechDaily Health Loneliness Social Isolation rease Heart Disease Risk Senior Women Health New National Poll: Loneliness Doubled Among Older Adults First Months COVID19 Science Loneliness May Make It Harder Quit Smoking Health Loneliness Could Double Your Risk Diabetes Health Insomnia Tied 69 Greater Risk Heart Attack Worse Women Health Suicidal Thoughts Reduced Sleeping Pills Patients With Severe Insomnia Health Anger, Anxiety, Insomnia: Predicting Lonely Twitter Users Their Tweets Health Greater Wisdom, Lower Loneliness Your Intestinal Multitude Be comment Loneliness, Insomnia, Drinking: The Costs Working With AI Systems Leave comment Cancel replyEmail address optional. If provided, email published shared.CommentName Email Save name, email, website browser time I comment. SciTechDaily: Home best science technology news 1998. 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Powerful Photon-Based Processing Units Enable Complex Artificial Intelligence
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Powerful Photon-Based Processing Units Enable Complex Artificial Intelligence
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Powerful Photon-Based Processing Units Enable Complex Artificial Intelligence TOPICS:American Institute of PhysicsArtificial IntelligenceElectrical EngineeringMachine LearningNanotechnologyOptics
By American Institute of Physics
August 1, 2020
The photonic tensor core performs vector-matrix multiplications by utilizing the efficient interaction of light at different wavelengths with multistate photonic phase change memories. Credit: Mario Miscuglio
Using photons to create more powerful and power-efficient processing units for more complex machine learning.
Machine learning performed by neural networks is a popular approach to developing artificial intelligence, as researchers aim to replicate brain functionalities for a variety of applications.
A paper in the journal Applied Physics Reviews, by AIP Publishing, proposes a new approach to perform computations required by a neural network, using light instead of electricity. In this approach, a photonic tensor core performs multiplications of matrices in parallel, improving speed and efficiency of current deep learning paradigms.
In machine learning, neural networks are trained to learn to perform unsupervised decision and classification on unseen data. Once a neural network is trained on data, it can produce an inference to recognize and classify objects and patterns and find a signature within the data.
The photonic TPU stores and processes data in parallel, featuring an electro-optical interconnect, which allows the optical memory to be efficiently read and written and the photonic TPU to interface with other architectures.
“We found that integrated photonic platforms that integrate efficient optical memory can obtain the same operations as a tensor processing unit, but they consume a fraction of the power and have higher throughput and, when opportunely trained, can be used for performing inference at the speed of light,” said Mario Miscuglio, one of the authors.
Most neural networks unravel multiple layers of interconnected neurons aiming to mimic the human brain. An efficient way to represent these networks is a composite function that multiplies matrices and vectors together. This representation allows the performance of parallel operations through architectures specialized in vectorized operations such as matrix multiplication.
However, the more intelligent the task and the higher accuracy of the prediction desired, the more complex the network becomes. Such networks demand larger amounts of data for computation and more power to process that data.
Current digital processors suitable for deep learning, such as graphics processing units or tensor processing units, are limited in performing more complex operations with greater accuracy by the power required to do so and by the slow transmission of electronic data between the processor and the memory.
The researchers showed that the performance of their TPU could be 2-3 orders higher than an electrical TPU. Photons may also be an ideal match for computing node-distributed networks and engines performing intelligent tasks with high throughput at the edge of a networks, such as 5G. At network edges, data signals may already exist in the form of photons from surveillance cameras, optical sensors and other sources.
“Photonic specialized processors can save a tremendous amount of energy, improve response time and reduce data center traffic,” said Miscuglio.
For the end user, that means data is processed much faster, because a large portion of the data is preprocessed, meaning only a portion of the data needs to be sent to the cloud or data center.
Reference: “Photonic tensor cores for machine learning featured” by Mario Miscuglio and Volker J. Sorger, 21 July 2020, Applied Physics Reviews.
DOI: 10.1063/5.0001942
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Powerful Photon-Based Processing Units Enable Complex Artificial Intelligence
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Global Cooling 13,000 Years Ago Was Caused by Volcanic Eruptions, Not Meteors
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Powerful Photon-Based Processing Units Enable Complex Artificial Intelligence
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Powerful PhotonBased Processing Units Enable Complex Artificial Intelligence Home About Newsletter Resources Facebook Twitter YouTube Pinterest Newsletter RSS Biology Chemistry Earth Health Physics Science Space Technology Hot Topics August 1, 2020 Powerful PhotonBased Processing Units Enable Complex Artificial Intelligence August 1, 2020 33YearOld Cosmic Mystery Solved? Hot Blob Discovered Supernova Remnant Not Pulsar Black Hole August 1, 2020 Global Cooling 13,000 Years Ago Was Caused Volcanic Eruptions, Not Meteors August 1, 2020 SpaceX Crew Dragon Is Its Way Home Planned Splashdown Gulf Mexico August 1, 2020 U.S. Department Energy Unveils Blueprint Quantum Internet for: Home Technology News Powerful PhotonBased Processing Units Enable Complex Artificial Intelligence TOPICS:American Institute PhysicsArtificial IntelligenceElectrical EngineeringMachine LearningNanotechnologyOptics By American Institute Physics August 1, 2020 The photonic tensor core performs vectormatrix multiplications utilizing efficient interaction light different wavelengths multistate photonic phase change memories. Credit: Mario Miscuglio Using photons create powerful powerefficient processing units complex machine learning. Machine learning performed neural networks popular approach developing artificial intelligence, researchers aim replicate brain functionalities variety applications. A paper journal Applied Physics Reviews, AIP Publishing, proposes new approach perform computations required neural network, light instead electricity. In approach, photonic tensor core performs multiplications matrices parallel, improving speed efficiency current deep learning paradigms. In machine learning, neural networks trained learn perform unsupervised decision classification unseen data. Once neural network trained data, produce inference recognize classify objects patterns signature data. The photonic TPU stores processes data parallel, featuring electrooptical interconnect, allows optical memory efficiently read written photonic TPU interface architectures. We integrated photonic platforms integrate efficient optical memory obtain operations tensor processing unit, consume fraction power higher throughput and, opportunely trained, performing inference speed light, said Mario Miscuglio, authors. Most neural networks unravel multiple layers interconnected neurons aiming mimic human brain. An efficient way represent networks composite function multiplies matrices vectors together. This representation allows performance parallel operations architectures specialized vectorized operations matrix multiplication. However, intelligent task higher accuracy prediction desired, complex network becomes. Such networks demand larger amounts data computation power process data. Current digital processors suitable deep learning, graphics processing units tensor processing units, limited performing complex operations greater accuracy power required slow transmission electronic data processor memory. The researchers showed performance TPU 23 orders higher electrical TPU. Photons ideal match computing nodedistributed networks engines performing intelligent tasks high throughput edge networks, 5G. At network edges, data signals exist form photons surveillance cameras, optical sensors sources. Photonic specialized processors save tremendous energy, improve response time reduce data center traffic, said Miscuglio. For end user, means data processed faster, large portion data preprocessed, meaning portion data needs sent cloud data center. Reference: Photonic tensor cores machine learning featured Mario Miscuglio Volker J. Sorger, 21 July 2020, Applied Physics Reviews. DOI: 10.10635.0001942 SHARE TWEET PIN SHARE Previous post More SciTechDaily Technology New System Performing Tensor Algebra Offers Faster BigData Analysis Technology Artificial Intelligence Consumes Startling Amount Power MIT System Reduces Carbon Footprint Physics LightBeam Performance Advanced Light Source Synchrotron Enhanced Machine Learning Science Hidden Vibrations Found Earthquake Data Neural Network Technology New EnergyFriendly Chip Can Perform Powerful AI Tasks Space Artificial Intelligence Proves 30 More Accurate Than Humans Analyzing Dark Matter Physics AI Controlled Quantum Error Correction System Capable Learning Science New Technique Illuminates Inner Workings AI Systems Be comment Powerful PhotonBased Processing Units Enable Complex Artificial Intelligence Leave comment Cancel replyEmail address optional. If provided, email published shared.CommentName Email Website MUST enable javascript able comment SciTechDaily: Home best science technology news 1998. Keep latest scitech news email social media. Popular Articles July 29, 2020 MITs New Evidence Dinosaur Evolution Geological evidence suggests known dinosaur groups diverged early on, supporting traditional dinosaur family tree. The classic dinosaur family tree subdivisions Read More July 29, 2020 UltraPrecise Measurements Powered Quantum Negativity Highly Counterintuitive Truly Amazing July 28, 2020 MIT Using Artificial Intelligence Help Put End COVID19 Pandemic July 28, 2020 Medieval Medicine Remedy Found 9th Century Balds Leechbook Could Provide New Treatment Modern Day Infections July 28, 2020 Using Network Gravimeters Dark Matter Hidden Inside Earth July 28, 2020 Cosmic Mystery: Integral HighEnergy Space Observatory Detected Unique Fast Radio Burst From Dead Star Our Galaxy July 28, 2020 Scientists Revive 100MillionYearOld Microbes Found Deep Below Bottom Ocean July 28, 2020 Out This World: USGS Astrogeology Maps Guide Mars 2020 Perseverance Rover Mission TagsAstronomy Astrophysics Behavioral Science Biotechnology Black Hole Cancer CassiniHuygens Mission Cell Biology Chandra Xray Observatory Climate Change Cosmology COVID19 Disease Earth Science Ecology Environment European Southern Observatory European Space Agency Evolution Exoplanet Genetics Geology HarvardSmithsonian Center Astrophysics Harvard University Hubble Space Telescope Images JPL Mars Materials Science Max Planck Institute Medicine MIT Nanoscience Nanotechnology NASA NASA Goddard Space Flight Center Neurology Neuroscience Paleontology Particle Physics Planetary Science Popular Public Health Quantum Physics Yale University Follow SciTechDailyFacebook Twitter YouTube Pinterest Newsletter RSS SciTech NewsBiology News Chemistry News Earth News Health News Physics News Science News Space News Technology News Latest News Powerful PhotonBased Processing Units Enable Complex Artificial Intelligence 33YearOld Cosmic Mystery Solved? Hot Blob Discovered Supernova Remnant Not Pulsar Black Hole Global Cooling 13,000 Years Ago Was Caused Volcanic Eruptions, Not Meteors SpaceX Crew Dragon Is Its Way Home Planned Splashdown Gulf Mexico U.S. Department Energy Unveils Blueprint Quantum Internet Editorial Board Science News Terms Use 1998 2020 SciTechDaily. .
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https://scituate.wickedlocal.com/entertainmentlife/20200107/whats-up-doc-ai-and-future
| 2020-01-09T00:00:00 |
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What’s Up Doc? AI and the future - Entertainment & Life - Scituate Mariner - Scituate, MA
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What’s Up Doc? AI and the future - Entertainment & Life - Scituate Mariner - Scituate, MA
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What’s Up Doc? AI and the future, 1,000th column
Dr. Jeff Hersh, Daily News Correspondent
Tuesday
Jan 7, 2020 at 10:13 AM
Jan 7, 2020 at 10:13 AM
I have been writing my column for over 20 years, and have written more than 1,000 columns — I do this as a community service and do not accept any payment for it. For my 10 year/500th column, I reviewed some of the changes that had occurred over the prior 10 years. Instead of doing that today, I thought I would take a more futuristic approach.First, some context.Our population is aging: In 2016 about 15% of the U.S. population was over 65 and 23% under 18. By 2035, that will reverse, and those over 65 will outnumber those under 18.• Chronic diseases — high blood pressure, diabetes, etc. — are more common as we get older: 80% of adults over age 65 have a least one chronic medical condition, over 70% have two or more.• Chronic diseases are a factor in over 80% of hospital admissions, 90% of all prescriptions, and account for 75% of all health care dollars spent.From this is it easy to conclude that the challenge of delivering quality health care will be getting greater.However, estimates are that by 2030:• There will be 1 million too few nurses and 100,000 too few physicians.• The volume of medical data is already overwhelming and will soon reach a yottabyte — a one followed by 24 zeros.• The number of hospitals and hospital beds has been declining: from 7,000 hospitals with 1.5 million beds in 1980 to under 6,000 hospitals and under a million beds in 2018.Throwing more money at the problem will not work. The U.S. already spends more money on health care per capita — $10,000 per person and 17% of our gross domestic product — than any other industrialized nation in the world, usually by a factor of two or more, even though the quality of our care — as noted by infant and maternal mortality, life expectancy, quality of life at age 65 and many other factors — is the worst of any industrialized nation.I do not think artificial intelligence in its simplest form — simple AI — where a computer algorithm looks at data and makes a conclusion, can address all the issues above. That is because there are intangible factors, like a clinician’s “gut feeling,” specific context for each patient — personalized medicine where an individual’s risk factors, history, goals, concerns, and other factors are critical in determining the right treatment plan for them — and many other factors that may limit a “simple AI” approach. That is not to say that AI will not have a vital role to play. I can picture AI helping interpret X-rays/other images, leafing through all that medical data to identify trends and perhaps predict onset of medical issues before they become apparent, as well as helping guide more efficient evaluation pathways.The overall approach I have advocated for many years is Interactive Augmented Intelligence, IAI. Here is the concept.The “simple AI” discussed above, including machine learning, etc., plays a key role. For example, many readers may have seen some recent articles noting that AI may be able to interpret mammograms as well as, or even better than, humans. There is a ton of work still to be done here. This is the intelligence in IAI.The concept of IAI adds to this by:• Looking at what “medical knowledge” is out there, including generation of a differential diagnosis, identification of evaluation/treatment guidelines applicable for each condition within the differential diagnosis, as well as trends/patterns in the data collected — which in turn will feed back into generating better differential diagnoses and guidelines going forward: i.e., adding a “top-down” approach.• Interactively discussing all this with the treating clinicians — allowing the clinician’s gut feelings and insight to be factored in.• Taking the results of these to augment the clinician’s thinking to develop a personalized care plan specifically formulated for each individual patient.Working toward this is a “need to have” not a “nice to have”; the impending medical crisis — increased number and severity of patients, decreasing healthcare providers and hospitals, etc. — must be addressed by improving the efficiency, personalization and efficacy of how medical care is delivered and allowing clinicians to “practice to the top” of their experience and licensure.The good news is that there is a lot of work being done to bring these concepts to reality. The bad news is that too much of this work is disjointed and being done in silos in too disconnected a fashion. Despite these hurdles, I have hope that we, as a medical/technology community, will rise to the challenge, and that the quality of medical care will continue to improve.Jeff Hersh, Ph.D., M.D., can be reached at [email protected].
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What’s Up Doc? AI and the future
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Whats Up Doc? AI future Entertainment Life Scituate Mariner Scituate, MA Sections NewsSportsEntertainmentLifeObitsCarsJobsHomesClassifiedsScanner Site Archive Log Weather Whats Up Doc? AI future, 1,000th column Dr. Jeff Hersh, Daily News Correspondent Tuesday Jan7,2020at10:13AM Jan7,2020at10:13AM I writing column 20 years, written 1,000 columns I community service accept payment it. For 10 year500th column, I reviewed changes occurred prior 10 years. Instead today, I thought I futuristic approach.First, context.Our population aging: In 2016 15 U.S. population 65 23 18. By 2035, reverse, 65 outnumber 18. Chronic diseases high blood pressure, diabetes, etc. common older: 80 adults age 65 chronic medical condition, 70 more. Chronic diseases factor 80 hospital admissions, 90 prescriptions, account 75 health care dollars spent.From easy conclude challenge delivering quality health care getting greater.However, estimates 2030: There 1 million nurses 100,000 physicians. The volume medical data overwhelming soon reach yottabyte followed 24 zeros. The number hospitals hospital beds declining: 7,000 hospitals 1.5 million beds 1980 6,000 hospitals million beds 2018.Throwing money problem work. The U.S. spends money health care capita 10,000 person 17 gross domestic product industrialized nation world, usually factor more, quality care noted infant maternal mortality, life expectancy, quality life age 65 factors worst industrialized nation.I think artificial intelligence simplest form simple AI algorithm looks data makes conclusion, address issues above. That intangible factors, like clinicians gut feeling, specific context patient personalized medicine individuals risk factors, history, goals, concerns, factors critical determining right treatment plan factors limit simple AI approach. That AI vital role play. I picture AI helping interpret Xraysother images, leafing medical data identify trends predict onset medical issues apparent, helping guide efficient evaluation pathways.The overall approach I advocated years Interactive Augmented Intelligence, IAI. Here concept.The simple AI discussed above, including machine learning, etc., plays key role. For example, readers seen recent articles noting AI able interpret mammograms as, better than, humans. There ton work here. This intelligence IAI.The concept IAI adds by: Looking medical knowledge there, including generation differential diagnosis, identification evaluationtreatment guidelines applicable condition differential diagnosis, trendspatterns data collected turn feed generating better differential diagnoses guidelines going forward: i.e., adding topdown approach. Interactively discussing treating clinicians allowing clinicians gut feelings insight factored in. Taking results augment clinicians thinking develop personalized care plan specifically formulated individual patient.Working need nice have; impending medical crisis increased number severity patients, decreasing healthcare providers hospitals, etc. addressed improving efficiency, personalization efficacy medical care delivered allowing clinicians practice experience licensure.The good news lot work bring concepts reality. The bad news work disjointed silos disconnected fashion. Despite hurdles, I hope we, medicaltechnology community, rise challenge, quality medical care continue improve.Jeff Hersh, Ph.D., M.D., reached DrHersh Sign weekly emails Site ServicesMy ProfileWork UsAdsPhoto reprintsSubmit newsPay Your Ad BillMarket PlaceHomesClassifiedsCommunity InfoTown ScituateScituate Public SchoolsScituate Fire DepartmentScituate Police DepartmentCommunitiesThe Patriot LedgerWicked Local MarshfieldWicked Local WeymouthWicked Local AbingtonWicked Local BraintreeWicked Local CohassetWicked Local Duxbury Gannett Co., . 2020. . Original content available noncommercial use Creative Commons license, noted. Scituate Mariner 600 Cordwainer Drive, Norwell, MA 02061 Do Not Sell My Personal Information Policy Do Not Sell My Personal Information Terms Of Service Your California Privacy Rights Gannett USA TODAY NETWORK Site Archive HomeNewsPolice FirePolice ScannerBuilding CommunityCommunityEducationState NewsShareableBusinessSportsHigh SchoolPros CollegesYouth LeaguesMarijuanaEntertainmentArtsBooksCelebrity NewsMoviesMusicTV GuideLifestyleTime MoneyFoodCelebrationsHealthFaithBoomersFamilyHome GardenTravelOpinionColumnsLettersEditorialsObits MoreWeatherPhotosVideosCelebrationsPodcastsBlogsCalendarSubmit newsContestsBranded Content UsFrom Our AdvertisersSouthern Kitchen rMy ProfileNewsletter Market PlaceBusiness DirectoryReaders ChoiceFindNSaveLegalsClassifiedsCarsJobsHomesAdvertise With UsDigital Marketing ServicesPay Your Ad Bill Feedback Ownership Terms Use Gannett Publications
| 2,020 |
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https://sdbn.org/san-diego-biotech-jobs/2022/06/24/bioinformatics-data-engineer-hybrid-basf-corporation-san-diego-ca/
| 2022-06-24T00:00:00 |
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Bioinformatics Data Engineer (Hybrid) – BASF Corporation – San Diego, CA – San Diego Biotechnology Network
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Bioinformatics Data Engineer (Hybrid) – BASF Corporation – San Diego, CA – San Diego Biotechnology Network
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June 24, 2022
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Bioinformatics Data Engineer (Hybrid)
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Bioinformatics Data Engineer Hybrid BASF Corporation San Diego, CA San Diego Biotechnology Network About About Join Events SDBN Events Calendar Directory Listings Summary How To Submit Listing Manage Listing News Latest News Trending News SDBN BUZZ Podcast Jobs All Jobs Submit A Job SDBN Jobs Hiring Resource Advertising Advertise With Us Media Kit SDBN Community Log In Registration Members My Stuff Settings Messages My Groups Manage SDBN Directory Listings Forums Log Out My Bookings News Ticker [ June 24, 2022 ] Bioinformatics Data Engineer Hybrid BASF Corporation San Diego, CA San Diego Biotech Jobs [ June 24, 2022 ] Product Owner, Service Innovations Thermo Fisher Scientific Carlsbad, CA San Diego Biotech Jobs [ June 24, 2022 ] With Roommates, Its All About Chemistry, Molecularly Speaking News [ June 24, 2022 ] Scientist, Oligo Chemistry Moore Associates San Diego, CA San Diego Biotech Jobs [ June 24, 2022 ] Sr Scientist, Analytical Development Emergent Biosolutions San Diego, CA San Diego Biotech Jobs for: HomeSan Diego Biotech JobsBioinformatics Data Engineer Hybrid BASF Corporation San Diego, CA Bioinformatics Data Engineer Hybrid BASF Corporation San Diego, CA June 24, 2022 sandiegobiotech San Diego Biotech Jobs Comments Off Bioinformatics Data Engineer Hybrid BASF Corporation San Diego, CA Bioinformatics Data Engineer San Diego CA. As Bioinformatics data engineer developer, closely collaborate scientists Click view original post PreviousWith Roommates, Its All About Chemistry, Molecularly Speaking POST A JOB Jobs for: Any Category Channels Biotechnology Conferences Diagnostics Drug Development Drug Discovery Medical Device Events Featured Forms Headline News BioSpace Featured News Industry News Industry News sci Marketwire PR Newswire San Diego Union Tribune Scientific American Top News UCSD News Xconomy NYSE:PFE San Diego Biotech Blogs San Diego Biotech Jobs Featured Jobs SDBN Blog SDBN BUZZ Podcast SDBN Events SDBN Feed Syndication testcat testnews Uncategorized San Diego Biotech Featured Jobs SENIOR SCIENTIST, UPSTREAM PROCESS DEVELOPMENT BlueNalu San Diego, CA June 22, 2022 0 Scientist Upstream ServareGMP Vista, CA June 2, 2022 0 LAB TECHNICIAN CELL CULTURE EXPERT San Diego Klotho Therapeutics May 27, 2022 Comments Off LAB TECHNICIAN CELL CULTURE EXPERT San Diego Klotho Therapeutics Featured Partner Jobs SDBN Daily Jobs Never Miss A Job Opportunity, Enter Email: Follow Twitter SDBN Directory Keywords: Networking Associations 500 Women Scientists San Diego ACS San Diego AWIS San Diego Biocom California Life Sciences Association CLSA CONNECT San Diego French BIO Beach LaunchBio MIT Enterprise Forum San Diego SABPA San Diego Clinical Research Network San Diego Entrepreneurs Exchange San Diego Regulatory Affairs Network San Diego Science Writers Association San Diego Venture Group Women BIO Southern California 2022 Biotech Networks, LLC Want Save Time? Get Trending News Jobs Delivered Notice: JavaScript required content. X
| 2,022 |
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| 2023-01-14T00:00:00 |
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Senior Scientist, Computational Structural Biology and Machine Learning – Bristol Myers Squibb – San Diego, CA – San Diego Biotechnology Network
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Senior Scientist, Computational Structural Biology and Machine Learning – Bristol Myers Squibb – San Diego, CA – San Diego Biotechnology Network
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[ January 13, 2023 ]
Assistant Director, Clinical Supplies – Ionis Pharmaceuticals, Inc. – Carlsbad, CA
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Senior Scientist, Computational Structural Biology and Machine Learning – Bristol Myers Squibb – San Diego, CA
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Researchers Create New System for Safer Gene-Drive Testing and Development
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Regulus Reports Inducement Grant Under Nasdaq Listing Rule 5635(c)(4)
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Head of Lyophilization & Bioassay Integration – TE Connectivity – Carlsbad, CA
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HomeSan Diego Biotech JobsSenior Scientist, Computational Structural Biology and Machine Learning – Bristol Myers Squibb – San Diego, CA
Senior Scientist, Computational Structural Biology and Machine Learning – Bristol Myers Squibb – San Diego, CA
January 13, 2023
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Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.From… Click here to view original post
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Cell Culture Expert | Klotho Therapeutics | San Diego, CA
January 9, 2023
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Senior Scientist, Computational Structural Biology Machine Learning Bristol Myers Squibb San Diego, CA San Diego Biotechnology Network About About Join Events SDBN Events Calendar Directory Listings Summary How To Submit Listing Manage Listing News Latest News Trending News SDBN BUZZ Podcast Jobs All Jobs Submit A Job SDBN Jobs Hiring Resource Advertising Advertise With Us Media Kit SDBN Community Log In Registration Members My Stuff Settings Messages My Groups Manage SDBN Directory Listings Forums Log Out My Bookings News Ticker [ January 13, 2023 ] Assistant Director, Clinical Supplies Ionis Pharmaceuticals, . Carlsbad, CA San Diego Biotech Jobs [ January 13, 2023 ] Senior Scientist, Computational Structural Biology Machine Learning Bristol Myers Squibb San Diego, CA San Diego Biotech Jobs [ January 13, 2023 ] Researchers Create New System Safer GeneDrive Testing Development News [ January 13, 2023 ] Regulus Reports Inducement Grant Under Nasdaq Listing Rule 5635c4 News [ January 13, 2023 ] Head Lyophilization Bioassay Integration TE Connectivity Carlsbad, CA San Diego Biotech Jobs for: HomeSan Diego Biotech JobsSenior Scientist, Computational Structural Biology Machine Learning Bristol Myers Squibb San Diego, CA Senior Scientist, Computational Structural Biology Machine Learning Bristol Myers Squibb San Diego, CA January 13, 2023 sandiegobiotech San Diego Biotech Jobs Comments Off Senior Scientist, Computational Structural Biology Machine Learning Bristol Myers Squibb San Diego, CA Any data processed connection role applications treated accordance applicable data privacy policies regulations.From Click view original post PreviousResearchers Create New System Safer GeneDrive Testing Development POST A JOB Jobs for: Any Category Channels Biotechnology Conferences Diagnostics Drug Development Drug Discovery Medical Device Events Featured Headline News Industry News UCSD News NYSE:PFE San Diego Biotech Jobs Featured Jobs SDBN Blog SDBN BUZZ Podcast SDBN Events SDBN Feed Syndication testcat Uncategorized San Diego Biotech Featured Jobs Cell Culture Expert Klotho Therapeutics San Diego, CA January 9, 2023 Comments Off Cell Culture Expert Klotho Therapeutics San Diego, CA Featured Partner Jobs SDBN Daily Jobs Never Miss A Job Opportunity, Enter Email: Follow Twitter SDBN Directory Keywords: Networking Associations 500 Women Scientists San Diego ACS San Diego AWIS San Diego Biocom California Life Sciences Association CLSA CONNECT San Diego French BIO Beach LaunchBio MIT Enterprise Forum San Diego SABPA San Diego Clinical Research Network San Diego Entrepreneurs Exchange San Diego Regulatory Affairs Network San Diego Science Writers Association San Diego Venture Group Women BIO Southern California 2022 Biotech Networks, LLC Want Save Time? Get Trending News Jobs Delivered Notice: JavaScript required content. X
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https://seekingalpha.com/article/4596920-irhythm-stock-ai-products-may-be-better-than-cardiologists?source=feed_all_articles
| 2023-04-26T00:00:00 |
en
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iRhythm Stock: AI Products May Be Better Than Cardiologists (NASDAQ:IRTC) | Seeking Alpha
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iRhythm Stock: AI Products May Be Better Than Cardiologists (NASDAQ:IRTC) | Seeking Alpha
HomeAnalysisNewsMarket DataInvesting GroupsExplore Investing GroupsPortfoliosCreate PortfolioFind & CompareTop StocksTop ETFsStock ScreenerETF ScreenerComparisonsEntering text into the input field will update the search result belowHomeStock IdeasLong IdeasiRhythm: AI Products May Be Better Than Cardiologists And Stock Looks CheapApr. 26, 2023 5:22 PM ETiRhythm Technologies, Inc. (IRTC)Qingshan Capital Management904 FollowersFollowSummaryiRhythm Technologies, Inc. offers innovative solutions in the field of digital healthcare.I believe that investors will likely pay special attention to the fact that iRhythm uses FDA-cleared artificial intelligence. Nature Medicine in 2019 published information about the results.iRhythm Technologies has established itself as a leader in the digital healthcare market with its innovative Zio ambulatory cardiac monitoring system.Initial efforts to proactively monitor population with Zio XT System are planned for 2023. da-kuk/E+ via Getty Images Equipped with artificial Intelligence, the products offered by iRhythm Technologies, Inc. (NASDAQ:IRTC) were mentioned in a study by Nature Medicine for obtaining better results than cardiologists. With this, the company is expecting enhancement of its portfolio, and adding products in adjacent markets like undiagnosed and/or asymptomatic cardiac arrhythmias. In my view, even considering risks from failed market assessment and the billing complexity of Zio services, I believe that the stock is undervalued. FDA-cleared Artificial Intelligence That May Be Even Better Than Expert Cardiologists iRhythm Technologies, Inc. offers innovative solutions in the field of digital healthcare with its Zio ambulatory cardiac monitoring technology. Its Zio system, which combines a portable biosensor and cloud-based software, enables clinicians to efficiently and quickly diagnose arrhythmias, which can lead to more timely and effective care for patients. I believe that investors will likely pay special attention to the fact that iRhythm uses FDA-cleared artificial intelligence. Nature Medicine in 2019 published information about iRhythm. Our Zio Services utilize advanced FDA-cleared artificial intelligence with the only deep-learned algorithm. As published in Nature Medicine in 2019, Hannun et al. used data from the Zio XT Service to develop a deep-neural network capable of diagnosing arrhythmias at a high diagnostic performance similar to that of expert cardiologists. The deep-neural network model met or exceeded the performance of cardiologists for 12 types of arrhythmia classes and recapitulated the misclassifications made by cardiologists. Source: 10-k With approximately more than five million patients using its services and more than one billion hours of heartbeat data collected, the company has demonstrated its leadership in the market. Furthermore, with presence in several major cities in the United States, in my view, iRhythm Technologies is positioned as a reliable and strong company in the healthcare industry. Source: Investor Presentation The company focuses on direct marketing of its Zio Services in the United States, and is aimed at healthcare professionals who diagnose and manage the care of patients with arrhythmias. The company has been successful in focusing on integrated delivery networks, and is exploring opportunities in the UK, Japan, Switzerland, the Netherlands, and Spain. Besides, management sees opportunities in monitoring asymptomatic patients with atrial fibrillation. Source: 10-k I also recently changed my long term expectations about the company because of its recent guidance for 2023 and the expectations of other analysts. The numbers expected by iRhythm are quite impressive. Management believes that Adjusted EBITDA margin would stand at close to 0.5% or -0.5%, with gross margin close to 69%-70% and net revenue of $475-$485 million. Source: Investor Presentation Competition Is Driven By Innovation, And Large Conglomerates Are Involved The remote cardiac monitoring market is highly competitive, and is constantly changing due to technological advances and market activities of industry participants. iRhythm Technologies competes with companies such as BioTelemetry, Preventice Solutions, and Bardy Diagnostics to offer remote cardiac monitoring technology and diagnostic services. In addition, it competes with companies that sell traditional 24 to 48-hour monitoring, such as GE Healthcare (GE), Philips Healthcare (PHG), and Spacelabs Healthcare. With increased acquisition and consolidation activity in the industry, iRhythm Technologies' competitors have greater financial, manufacturing, and marketing resources along with an established customer base and well-established brands. Also, future competition could come from big tech companies focused on general health and wellness. Expectations Include Sales Growth And FCF Generation In The Next Three Years I believe that having a careful look at the expectations from other investment analysts will help the investors who may not believe in the future of the products. Market expectations include 2025 net sales of $680 million, net sales growth close to 19%, 2025 EBITDA of $68.5 million, an EBITDA margin of 10%, and 2025 net income close to -$38.1 million. Source: S&P With that about the income statement, the most interesting, in my view, is the cash flow statement. Analysts expect FCF to grow from negative territory in 2022 to close to $175 million in 2023 and $130 million in 2025. The expected increase in FCF is what made me design a DCF model for the company. Source: S&P Assets: Significant Amount Of Liquidity And Stable Position As of December 31, 2022, iRhythm reported cash and cash equivalents of $78 million, with short-term investments of $134 million and accounts receivable of $49 million. Also, with inventory worth $15 million and prepaid expenses and other current assets of $10 million, total current assets were equal to $288 million. The total amount of current assets is around 2.9x the total amount of current liabilities, so I do not believe that we have a liquidity issue here. Property and equipment stood at $75 million, with operating lease right-of-use assets close to $60 million and total assets of $448 million. The asset/liability ratio is equal to more than 2x, so I believe that the balance sheet has a stable position. Source: 10-k A Small Amount Of Liabilities iRhythm reports a small amount of debt and few liabilities. In my view, a significant amount of cash in hand means management likely does not have to talk to financial institutions or providers to finance the operations. It is, in my view, quite ideal. iRhythm reported accounts payable worth $7 million, accrued liabilities of $65 million, and deferred revenue of $3 million. Total current liabilities are equal to $89 million. Finally, long term debt stands at $34 million, with total liabilities of $208 million. Source: 10-k My Assumptions Include More Market Awareness, Market Penetration In The United States, And Successful Expansion In Europe In 2023 I believe that further expansion and market penetration by targeting the large existing ambulatory cardiac monitoring market in the United States will bring revenue growth. Sufficient marketing efforts as well as enhancement of the current portfolio of products will likely bring revenue growth. The company believes that the current market penetration is only close to 25%. Zio XT System, which provides continuous long-term ECG monitoring, is appropriate for the majority of patients that require ambulatory cardiac monitoring while Zio AT System, which includes near real-time monitoring, is appropriate for more acute patients that require timely notification. We estimate our current market penetration in the United States to be approximately 25%. Source: 10-k I also believe that sufficient information about why devices like that of iRhythm are necessary could also make more doctors and clients interested. I believe that management will do good by noting the report issued by The American Journal of Cardiology. In this regard, management made the following comments. We estimate that 14 million patients in the United States visit a primary care physician annually with palpitations due to suspected cardiac disease. Source: 10-k A retrospective study by Turakhia et al, published in The American Journal of Cardiology in August 2013, analyzed data from 26,751 patients using the Zio XT System for the first time between January 1, 2011, and December 31, 2011. The study results showed that among the 16,142 patients with detected, clinically relevant arrhythmias, over 50% of the first-diagnosed symptomatic arrhythmias occurred after 48 hours of monitoring, suggesting that these arrhythmias could have been missed by traditional Holter monitoring during the typical maximum prescribed monitoring time. This data suggests that detection of infrequent arrhythmias requires longer monitoring times and ECG signal of consistent quality. Source: 10-k The company is also seeking international expansion opportunities in European countries, Japan, and the UK. In particular, in 2023, the company expects to develop new initiatives in Europe, which may bring news to the market, and accelerate the demand for the stock. We are initiating market development and market access initiatives in multiple European countries in 2023 and pursuing regulatory clearance in Japan. Source: 10-k I also believe that adjacent markets like undiagnosed and/or asymptomatic cardiac arrhythmias could increase the target market. As a result, potential revenue growth could accelerate, which may bring more interest from market participants. In this regard, new efforts are expected for 2023, so I believe that paying attention to the stock will likely help. We are pursuing commercialization opportunities for our Know Your Rhythm by Zio program that is focused on patients at risk for undiagnosed arrhythmias. With at least 12 million individuals in the United States estimated to be at risk for undiagnosed and/or asymptomatic cardiac arrhythmias, we believe this is a significant market opportunity. Initial efforts to proactively monitor this population with Zio XT System, including end-to-end care pathway pilots, are planned for 2023. Source: 10-k My DCF Model Implied A Valuation Of $158 Per Share My cash flow model includes gradual increases in FCF driven by increases in net income accompanied by increases in depreciation, increases in accounts payable, and increases in deferred revenue. I also believe that capital expenditures would likely increase as will the CFO. My numbers are pretty much aligned with previous figures for accounts receivable, accounts payable, and inventories. I am really not thinking out of the box because I want realistic figures. Source: Ycharts The net income growth, CFO growth, and FCF growth that I assumed are aligned with the expected growth of the global ambulatory cardiac monitoring devices market, which appears to be close to 10%. My numbers are a bit more significant than that of the market because iRhythm is a new entrant. FCF growth in 2033 is expected to be close to 12%, and 2033 net income growth would stand at 16%. The global ambulatory cardiac monitoring devices market size was valued at USD 5.77 billion in 2022 and is expected to expand at a compound annual growth rate of 10.4% over the forecast period from 2023 to 2030. Source: Ambulatory Cardiac Monitoring Devices Market Report The assumptions I made in my DCF model included deleting certain items from the cash flow statement because they do not seem like activities related to the business model. Reimbursement of tenant improvements was assumed to be zero from 2023 to 2033. I also assumed that impairment changes and changes due to other assets would be close to zero. My numbers are a bit more conservative than what other investment analysts are expecting. I included 2023 net loss of -$94 million, depreciation and amortization close to $16 million, and stock-based compensation of $67 million. Besides, changes in accounts receivable of -$76 million and changes in inventory of -$8 million resulted in a net cash used in operating activities of -$1 million. If we also assume purchases of property and equipment of -$41 million, 2023 FCF would be close to -$41 million. My figures for 2033 include net income of $211 million, depreciation and amortization close to $49 million, and stock-based compensation close to $147 million. Also, with amortization of -$6 million, amortization of operating leases of $7 million, changes in accounts receivable of -$194 million, and changes in inventory of $26 million, I obtained net cash used in operating activities of $484 million. If we also include capex of -$120 million, the FCF would be close to $364 million. My DCF ModelMy DCF Model If we sum future FCF, and use a WACC of 7.4%, the enterprise value would stand at $4.782 billion. Besides, if we sum cash of $78 million, and subtract noncurrent debt of $34 million, the company value would stand at $4.826 billion. Finally, the fair price would stand at close to $158 per share. My DCF Model Risks The company is exposed to various risks and uncertainties, including those related to regulation and reimbursement by Medicare and other commercial payers. If doctors, regulators, and insurance companies decide that the devices are too expensive or not necessary, I believe that revenue expectations would decline. In particular, we do not know yet how European or Japanese hospitals and the social security systems will feel about the innovations offered by iRhythm. The ability to innovate and expand internationally as well as the need to attract and retain senior management and key personnel are also significant risks. In my view, iRhythm will need a significant amount of cash for issuing new products in existing or related markets. If investors decide not to give further cash to iRhythm, I believe that FCF expectations would most likely decline. It is also worth noting that expectations about future FCF growth from management, investment advisors, or even my DCF model could be wrong. If the target market is overestimated, I believe that future FCF would be lower than expected, which would imply a lower implied stock price. My Conclusion iRhythm Technologies has established itself as a leader in the digital healthcare market with its innovative Zio ambulatory cardiac monitoring system. With a strong presence in the United States, I believe that the company has a stable customer base and a trusted brand name in the healthcare industry. Competition in the market for ambulatory cardiac monitoring solutions and the billing complexity of Zio services remain significant. Besides, risks from overestimation of the target market could imply lower FCF than initially expected. With that, I believe that the stock is undervalued.This article was written byQingshan Capital Management904 FollowersFollowI am an M&A investment advisor with 10+ years of experience. I used to work for a big institution. I like M&A deals, value investing, and emerging markets. If you see an error please contact: [email protected] Capital Management provides articles for informational purposes only. I only give my opinion. You should not construe any such information or other material as legal, tax, investment, financial, or other advice. Nothing contained on my articles constitutes a solicitation, recommendation, endorsement, or offer to buy or sell any securities or other financial instruments.Analyst’s Disclosure: I/we have a beneficial long position in the shares of IRTC either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.LikeShareCommentRecommended For YouCommentsNewestTo ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.Is this happening to you frequently? Please report it on our feedback forum.If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh.
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iRhythm Stock: AI Products May Be Better Than Cardiologists (NASDAQ:IRTC)
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iRhythm Stock: AI Products May Be Better Than Cardiologists NASDAQ:IRTC Seeking Alpha HomeAnalysisNewsMarket DataInvesting GroupsExplore Investing GroupsPortfoliosCreate PortfolioFind CompareTop StocksTop ETFsStock ScreenerETF ScreenerComparisonsEntering text input field update search result belowHomeStock IdeasLong IdeasiRhythm: AI Products May Be Better Than Cardiologists And Stock Looks CheapApr. 26, 2023 5:22 PM ETiRhythm Technologies, . IRTCQingshan Capital Management904 FollowersFollowSummaryiRhythm Technologies, . offers innovative solutions field digital healthcare.I believe investors likely pay special attention fact iRhythm uses FDAcleared artificial intelligence. Nature Medicine 2019 published information results.iRhythm Technologies established leader digital healthcare market innovative Zio ambulatory cardiac monitoring system.Initial efforts proactively monitor population Zio XT System planned 2023. dakukE Getty Images Equipped artificial Intelligence, products offered iRhythm Technologies, . NASDAQ:IRTC mentioned study Nature Medicine obtaining better results cardiologists. With this, company expecting enhancement portfolio, adding products adjacent markets like undiagnosed andor asymptomatic cardiac arrhythmias. In view, considering risks failed market assessment billing complexity Zio services, I believe stock undervalued. FDAcleared Artificial Intelligence That May Be Even Better Than Expert Cardiologists iRhythm Technologies, . offers innovative solutions field digital healthcare Zio ambulatory cardiac monitoring technology. Its Zio system, combines portable biosensor cloudbased software, enables clinicians efficiently quickly diagnose arrhythmias, lead timely effective care patients. I believe investors likely pay special attention fact iRhythm uses FDAcleared artificial intelligence. Nature Medicine 2019 published information iRhythm. Our Zio Services utilize advanced FDAcleared artificial intelligence deeplearned algorithm. As published Nature Medicine 2019, Hannun et al. data Zio XT Service develop deepneural network capable diagnosing arrhythmias high diagnostic performance similar expert cardiologists. The deepneural network model met exceeded performance cardiologists 12 types arrhythmia classes recapitulated misclassifications cardiologists. Source: 10k With approximately million patients services billion hours heartbeat data collected, company demonstrated leadership market. Furthermore, presence major cities United States, view, iRhythm Technologies positioned reliable strong company healthcare industry. Source: Investor Presentation The company focuses direct marketing Zio Services United States, aimed healthcare professionals diagnose manage care patients arrhythmias. The company successful focusing integrated delivery networks, exploring opportunities UK, Japan, Switzerland, Netherlands, Spain. Besides, management sees opportunities monitoring asymptomatic patients atrial fibrillation. Source: 10k I recently changed long term expectations company recent guidance 2023 expectations analysts. The numbers expected iRhythm impressive. Management believes Adjusted EBITDA margin stand close 0.5 0.5, gross margin close 6970 net revenue 475485 million. Source: Investor Presentation Competition Is Driven By Innovation, And Large Conglomerates Are Involved The remote cardiac monitoring market highly competitive, constantly changing technological advances market activities industry participants. iRhythm Technologies competes companies BioTelemetry, Preventice Solutions, Bardy Diagnostics offer remote cardiac monitoring technology diagnostic services. In addition, competes companies sell traditional 24 48hour monitoring, GE Healthcare GE, Philips Healthcare PHG, Spacelabs Healthcare. With increased acquisition consolidation activity industry, iRhythm Technologies competitors greater financial, manufacturing, marketing resources established customer base wellestablished brands. Also, future competition come big tech companies focused general health wellness. Expectations lude Sales Growth And FCF Generation In The Next Three Years I believe careful look expectations investment analysts help investors believe future products. Market expectations include 2025 net sales 680 million, net sales growth close 19, 2025 EBITDA 68.5 million, EBITDA margin 10, 2025 net income close 38.1 million. Source: SP With income statement, interesting, view, cash flow statement. Analysts expect FCF grow negative territory 2022 close 175 million 2023 130 million 2025. The expected increase FCF design DCF model company. Source: SP Assets: Significant Amount Of Liquidity And Stable Position As December 31, 2022, iRhythm reported cash cash equivalents 78 million, shortterm investments 134 million accounts receivable 49 million. Also, inventory worth 15 million prepaid expenses current assets 10 million, total current assets equal 288 million. The total current assets 2.9x total current liabilities, I believe liquidity issue here. Property equipment stood 75 million, operating lease rightofuse assets close 60 million total assets 448 million. The assetliability ratio equal 2x, I believe balance sheet stable position. Source: 10k A Small Amount Of Liabilities iRhythm reports small debt liabilities. In view, significant cash hand means management likely talk financial institutions providers finance operations. It is, view, ideal. iRhythm reported accounts payable worth 7 million, accrued liabilities 65 million, deferred revenue 3 million. Total current liabilities equal 89 million. Finally, long term debt stands 34 million, total liabilities 208 million. Source: 10k My Assumptions lude More Market Awareness, Market Penetration In The United States, And Successful Expansion In Europe In 2023 I believe expansion market penetration targeting large existing ambulatory cardiac monitoring market United States bring revenue growth. Sufficient marketing efforts enhancement current portfolio products likely bring revenue growth. The company believes current market penetration close 25. Zio XT System, provides continuous longterm ECG monitoring, appropriate majority patients require ambulatory cardiac monitoring Zio AT System, includes near realtime monitoring, appropriate acute patients require timely notification. We estimate current market penetration United States approximately 25. Source: 10k I believe sufficient information devices like iRhythm necessary doctors clients interested. I believe management good noting report issued The American Journal Cardiology. In regard, management following comments. We estimate 14 million patients United States visit primary care physician annually palpitations suspected cardiac disease. Source: 10k A retrospective study Turakhia et al, published The American Journal Cardiology August 2013, analyzed data 26,751 patients Zio XT System time January 1, 2011, December 31, 2011. The study results showed 16,142 patients detected, clinically relevant arrhythmias, 50 firstdiagnosed symptomatic arrhythmias occurred 48 hours monitoring, suggesting arrhythmias missed traditional Holter monitoring typical maximum prescribed monitoring time. This data suggests detection infrequent arrhythmias requires longer monitoring times ECG signal consistent quality. Source: 10k The company seeking international expansion opportunities European countries, Japan, UK. In particular, 2023, company expects develop new initiatives Europe, bring news market, accelerate demand stock. We initiating market development market access initiatives multiple European countries 2023 pursuing regulatory clearance Japan. Source: 10k I believe adjacent markets like undiagnosed andor asymptomatic cardiac arrhythmias increase target market. As result, potential revenue growth accelerate, bring market participants. In regard, new efforts expected 2023, I believe paying attention stock likely help. We pursuing commercialization opportunities Know Your Rhythm Zio program focused patients risk undiagnosed arrhythmias. With 12 million individuals United States estimated risk undiagnosed andor asymptomatic cardiac arrhythmias, believe significant market opportunity. Initial efforts proactively monitor population Zio XT System, including endtoend care pathway pilots, planned 2023. Source: 10k My DCF Model Implied A Valuation Of 158 Per Share My cash flow model includes gradual increases FCF driven increases net income accompanied increases depreciation, increases accounts payable, increases deferred revenue. I believe capital expenditures likely increase CFO. My numbers pretty aligned previous figures accounts receivable, accounts payable, inventories. I thinking box I want realistic figures. Source: Ycharts The net income growth, CFO growth, FCF growth I assumed aligned expected growth global ambulatory cardiac monitoring devices market, appears close 10. My numbers bit significant market iRhythm new entrant. FCF growth 2033 expected close 12, 2033 net income growth stand 16. The global ambulatory cardiac monitoring devices market size valued USD 5.77 billion 2022 expected expand compound annual growth rate 10.4 forecast period 2023 2030. Source: Ambulatory Cardiac Monitoring Devices Market Report The assumptions I DCF model included deleting certain items cash flow statement like activities related business model. Reimbursement tenant improvements assumed zero 2023 2033. I assumed impairment changes changes assets close zero. My numbers bit conservative investment analysts expecting. I included 2023 net loss 94 million, depreciation amortization close 16 million, stockbased compensation 67 million. Besides, changes accounts receivable 76 million changes inventory 8 million resulted net cash operating activities 1 million. If assume purchases property equipment 41 million, 2023 FCF close 41 million. My figures 2033 include net income 211 million, depreciation amortization close 49 million, stockbased compensation close 147 million. Also, amortization 6 million, amortization operating leases 7 million, changes accounts receivable 194 million, changes inventory 26 million, I obtained net cash operating activities 484 million. If include capex 120 million, FCF close 364 million. My DCF ModelMy DCF Model If sum future FCF, use WACC 7.4, enterprise value stand 4.782 billion. Besides, sum cash 78 million, subtract noncurrent debt 34 million, company value stand 4.826 billion. Finally, fair price stand close 158 share. My DCF Model Risks The company exposed risks uncertainties, including related regulation reimbursement Medicare commercial payers. If doctors, regulators, insurance companies decide devices expensive necessary, I believe revenue expectations decline. In particular, know European Japanese hospitals social security systems feel innovations offered iRhythm. The ability innovate expand internationally need attract retain senior management key personnel significant risks. In view, iRhythm need significant cash issuing new products existing related markets. If investors decide cash iRhythm, I believe FCF expectations likely decline. It worth noting expectations future FCF growth management, investment advisors, DCF model wrong. If target market overestimated, I believe future FCF lower expected, imply lower implied stock price. My Conclusion iRhythm Technologies established leader digital healthcare market innovative Zio ambulatory cardiac monitoring system. With strong presence United States, I believe company stable customer base trusted brand healthcare industry. Competition market ambulatory cardiac monitoring solutions billing complexity Zio services remain significant. Besides, risks overestimation target market imply lower FCF initially expected. With that, I believe stock undervalued.This article written byQingshan Capital Management904 FollowersFollowI MA investment advisor 10 years experience. I work big institution. I like MA deals, value investing, emerging markets. If error contact: wangluxem Capital Management provides articles informational purposes only. I opinion. You construe information material legal, tax, investment, financial, advice. Nothing contained articles constitutes solicitation, recommendation, endorsement, offer buy sell securities financial instruments.Analysts Disclosure: Iwe beneficial long position shares IRTC stock ownership, options, derivatives. I wrote article myself, expresses opinions. I receiving compensation Seeking Alpha. I business relationship company stock mentioned article. Seeking Alphas Disclosure: Past performance guarantee future results. No recommendation advice given investment suitable particular investor. Any views opinions expressed reflect Seeking Alpha whole. Seeking Alpha licensed securities dealer, broker US investment adviser investment bank. Our analysts party authors include professional investors individual investors licensed certified institute regulatory body.LikeShareCommentRecommended For YouCommentsNewestTo ensure doesnt happen future, enable Javascript cookies browser.Is happening frequently? Please report feedback forum.If adblocker enabled blocked proceeding. Please disable adblocker refresh.
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https://siliconflorist.com/2022/07/14/if-youre-working-in-machine-learning-and-artificial-intelligence-how-much-data-do-you-need/
| 2022-07-16T00:00:00 |
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If you’re working in Machine Learning and Artificial Intelligence, how much data do you need? – Silicon Florist
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If you’re working in Machine Learning and Artificial Intelligence, how much data do you need? – Silicon Florist
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If you’re working in Machine Learning and Artificial Intelligence, how much data do you need?
Rick Turoczy
on
July 14, 2022
It’s a common question. How much data is necessary to get value out of Machine Learning and Artificial Intelligence…? Well, Portland startup Synaptiq posed that question at a recent event. And Dr. Tim Oates provided a response.
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Published by Rick Turoczy
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If you’re working in Machine Learning and Artificial Intelligence, how much data do you need?
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If youre working Machine Learning Artificial Intelligence, data need? Silicon Florist for: Silicon Florist Portland startups, open source, tech news, jobs, events pdx Newsletter Jobs Chat Asks Offers Events About Archives Close Menu Close Newsletter Jobs Chat Asks Offers Events About Archives for: If youre working Machine Learning Artificial Intelligence, data need? Rick Turoczy July 14, 2022 Its common question. How data necessary value Machine Learning Artificial Intelligence? Well, Portland startup Synaptiq posed question recent event. And Dr. Tim Oates provided response. Like this:Like Loading... Category: Oregon, Portland, Startups, Video Tag: ai, artificial intelligence, Data, machine learning, ml, synaptiq Post navigation Previous: Previous post: [UPDATED] Looking connect person IRL again? 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Harris meets with CEOs about artificial intelligence risks
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Harris meets with CEOs about artificial intelligence risks
Vice President Kamala Harris met with the heads of Google, Microsoft and two other companies developing artificial intelligence
By MATT O'BRIEN and JOSH BOAK - Associated Press
May 4, 2023
May 4, 2023
Updated
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President Joe Biden listens as Vice President Kamala Harris speaks in the Rose Garden of the White House in Washington, Monday, May 1, 2023, about National Small Business Week.
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President Joe Biden greets the audience in the Rose Garden of the White House in Washington, Monday, May 1, 2023, about National Small Business Week, as Vice President Kamala Harris looks on.
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Vice President Kamala Harris speaks, along side Jill Scarbo, who won National Small Business of the Year in 2022 and is the CEO of Bright Futures Learning Services (BFLS), a provider of Applied Behavior Analysis (ABA) therapy services for children, in the Rose Garden of the White House in Washington, Monday, May 1, 2023, during an event about National Small Business Week.
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President Joe Biden speaks before a dinner for Combatant Commanders in the Cross Hall of the White House in Washington, Wednesday, May 3, 2023.
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By MATT O'BRIEN and JOSH BOAK - Associated Press
WASHINGTON (AP) — Vice President Kamala Harris met on Thursday with the heads of Google, Microsoft and two other companies developing artificial intelligence as the Biden administration rolls out initiatives meant to ensure the rapidly evolving technology improves lives without putting people's rights and safety at risk.The Democratic administration announced an investment of $140 million to establish seven new AI research institutes.In addition, the White House Office of Management and Budget is expected to issue guidance in the next few months on how federal agencies can use AI tools. There is also an independent commitment by top AI developers to participate in a public evaluation of their systems in August at the Las Vegas hacker convention DEF CON.
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The Thursday meeting was designed for Harris and administration officials to discuss the risks they see in current AI development with the CEOs of Google, Microsoft and two influential startups they support: Microsoft-backed OpenAI and Google-backed Anthropic. The government leaders' message to the companies is that they have a role to play in reducing the risks and that they can work together with the government.
Authorities in the United Kingdom also said Thursday they are looking at the risks associated with AI. Britain’s competition watchdog said it's opening a review of the AI market, focusing on the technology underpinning chatbots like ChatGPT, which was developed by OpenAI.
President Joe Biden noted last month that AI can help to address disease and climate change but also could harm national security and disrupt the economy in destabilizing ways. Biden also stopped by the event Thursday. He has been “extensively briefed” on ChatGPT, seen how it works and has even experimented with the tool, according to a White House official.
The release of ChatGPT late last year has led to increased debate about AI and the government's role with the technology. The ability of new “generative AI” tools to produce human-like writing and fake images has added to ethical and societal concerns about automated systems.
Some of the companies, including OpenAI, have been secretive about the data their AI systems have been trained upon. That's made it harder to understand why a chatbot is producing biased or false answers to requests or to address concerns about whether it’s stealing from copyrighted works.Companies worried about being liable for something in their training data might also not have incentives to rigorously track it, said Margaret Mitchell, chief ethics scientist at AI startup Hugging Face.
"I think it might not be possible for OpenAI to actually detail all of its training data at a level of detail that would be really useful in terms of some of the concerns around consent and privacy and licensing,” Mitchell said in an interview Tuesday. “From what I know of tech culture, that just isn’t done.”
Theoretically, some kind of disclosure law could force AI providers to open up their systems to more third-party scrutiny. But with AI systems being built atop previous models, it won’t be easy for companies to provide greater transparency after the fact.
“I think it’s really going to be up to the governments to decide whether this means that you have to trash all the work you’ve done or not," Mitchell said. "Of course, I kind of imagine that at least in the U.S., the decisions will lean towards the corporations and be supportive of the fact that it’s already been done. It would have such massive ramifications if all these companies had to essentially trash all of this work and start over.”
Listen now and subscribe: Apple Podcasts | Google Podcasts | Spotify | YouTube | RSS Feed | Omny Studio
While the White House on Thursday signaled a collaborative approach with the industry, companies that build or use AI are also facing heightened scrutiny from U.S. agencies such as the Federal Trade Commission, which enforces consumer protection and antitrust laws.
The companies also face potentially tighter rules in the European Union, where negotiators are putting the finishing touches on AI regulations first proposed two years ago. The rules could vault the 27-nation bloc to the forefront of the global push to set standards for the technology.
When the EU first drew up its proposal for AI rules in 2021, the focus was on reining in high-risk applications that threaten people’s safety or rights such as live facial scanning or government social scoring systems, which judge people based on their behavior. Chatbots were barely mentioned.
But in a reflection of how fast AI technology has developed, negotiators in Brussels have been scrambling to update their proposals to take into account general purpose AI systems. Provisions added to the bill would require so-called foundation AI models to disclose copyright material used to train the systems, according to a recent partial draft of the legislation obtained by The Associated Press.Foundation models are a sub-category of general purpose AI that includes systems like ChatGPT. Their algorithms are trained on vast pools of data.A European Parliament committee is due to vote next week on the bill, but it could be years before the AI Act takes effect.
Elsewhere in Europe, Italy temporarily banned ChatGPT over a breach of stringent European privacy rules, and the European Data Protection Board set up an AI task force, in a possible initial step to draw up common AI privacy rules.
In the U.S., putting AI systems up for public inspection at the DEF CON hacker conference could be a novel way to test risks, though the one-time event might not be as thorough as a prolonged audit, said Heather Frase, a senior fellow at Georgetown University’s Center for Security and Emerging Technology.Along with Google, Microsoft, OpenAI and Anthropic, companies that the White House says have agreed to participate include Hugging Face, chipmaker Nvidia and Stability AI, known for its image-generator Stable Diffusion.“This would be a way for very skilled and creative people to do it in one kind of big burst,” Frase said.
O'Brien reported from Cambridge, Massachusetts. AP writers Seung Min Kim in Washington and Kelvin Chan in London contributed to this report.
Follow the AP's coverage of artificial intelligence at https://apnews.com/hub/artificial-intelligence.
Copyright 2023 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.
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Harris meets CEOs artificial intelligence risks Skip main contentSkip main content free articles. Sign newsletter reading. Be know Get local news delivered inbox Sign Already r? Sign Back homer Please subscribe reading. You cancel time. Loadinghellp; You permission edit article. Edit Close 80 Log In Guest Logout Read Todays Eedition News Local COVID19 Crime State Regional Government Politics Business National Multimedia World News Tip Obituaries Share story Recent Obituaries Find Obituary Archives Opinion Submit letter Letters Editorial GuestColumnists Sports High School College Musketeers Explorers Bandits National Professional Betting Entertainment Arts Theatre Event Calendar Contests Comics Puzzles Columns Movies Music Television Play Lifestyles Food Cooking Health Fitness Home Garden Life Relationships Special Occasions Special Sections Submit Announcement People Pets Weekender Join community News tip Share video Send story Share photo Feast Field Partners Brand Ave. Studios Print Edition Eedition Eedition Archives Buy Sell Place Ad Jobs Homes Cars Marketplace Public Notices Shop Local I Love A Deal Buy Local Customer Service Manage Subscription Activate Digital Subscription Newsletter signup Become Member Work Here News Tip Advertise With Us Help Center Mobile Apps Weather: Live Radar Facebook Twitter YouTube Pinterest Instagram 2023 Lee Enterprises Read Todays Eedition Join Log In Welcome, Guest My Subscription Help Center My Account Dashboard Profile Saved items Logout Eedition News Obituaries Opinion Sports Entertainment Lifestyles Jobs Buy Local Autos Jobs Homes 80 Partly Cloudy Share This Facebook Twitter WhatsApp SMS Email Harris meets CEOs artificial intelligence risks 0 Comments Share Facebook Twitter WhatsApp SMS Email Print Copy article link Save Just In Jury finds Ed Sheeran didnt copy Marvin Gaye classic Lets Get It On AP Harris meets CEOs artificial intelligence risks Vice President Kamala Harris met heads Google, Microsoft companies developing artificial intelligence By MATT OBRIEN JOSH BOAK Associated Press May 4, 2023 May 4, 2023 Updated 1 hr ago 0 1 4 President Joe Biden listens Vice President Kamala Harris speaks Rose Garden White House Washington, Monday, May 1, 2023, National Small Business Week. Carolyn Kaster staff, AP President Joe Biden greets audience Rose Garden White House Washington, Monday, May 1, 2023, National Small Business Week, Vice President Kamala Harris looks on. Susan Walsh staff, AP Vice President Kamala Harris speaks, Jill Scarbo, National Small Business Year 2022 CEO Bright Futures Learning Services BFLS, provider Applied Behavior Analysis ABA therapy services children, Rose Garden White House Washington, Monday, May 1, 2023, event National Small Business Week. Susan Walsh staff, AP President Joe Biden speaks dinner Combatant Commanders Cross Hall White House Washington, Wednesday, May 3, 2023. Susan Walsh staff, AP Facebook Twitter WhatsApp SMS Email Print Copy article link Save By MATT OBRIEN JOSH BOAK Associated Press WASHINGTON AP Vice President Kamala Harris met Thursday heads Google, Microsoft companies developing artificial intelligence Biden administration rolls initiatives meant ensure rapidly evolving technology improves lives putting peoples rights safety risk.The Democratic administration announced investment 140 million establish seven new AI research institutes.In addition, White House Office Management Budget expected issue guidance months federal agencies use AI tools. There independent commitment AI developers participate public evaluation systems August Las Vegas hacker convention DEF CON. People reading Medical board charges exMercyOne heart surgeon incompetence, harmful practices Former Sioux City Superintendent Paul Gausman claims district, school board members violating open records laws DVD REVIEW: Tom Brady scored 80 Brady doesnt help actors Siouxland News local news slots National Desk coverage Man wanted connection Dakota Dunes slaying Sioux City man arrested highspeed chase Flora Lee, lifelong Siouxland community activist Black woman elected Woodbury County, dies age 69 Sioux City Mayor involved 3vehicle crash Monday Authorities investigating death Dakota Dunes apartment Ute, Iowa man wins 100,000 lottery prize Five Below store, second Sioux City, open summer Shopko Hamilton Lawmakers OK guidelines Iowa school discipline Badgerow Flats offers expansive views downtown modern, Art Deco setting Residents dead care facilities backlog uninvestigated complaints Broadway Orpheum 2023 2024 announces new shows The Thursday meeting designed Harris administration officials discuss risks current AI development CEOs Google, Microsoft influential startups support: Microsoftbacked OpenAI Googlebacked Anthropic. The government leaders message companies role play reducing risks work government. Authorities United Kingdom said Thursday looking risks associated AI. Britains competition watchdog said opening review AI market, focusing technology underpinning chatbots like ChatGPT, developed OpenAI. President Joe Biden noted month AI help address disease climate change harm national security disrupt economy destabilizing ways. Biden stopped event Thursday. He extensively briefed ChatGPT, seen works experimented tool, according White House official. The release ChatGPT late year led increased debate AI governments role technology. The ability new generative AI tools produce humanlike writing fake images added ethical societal concerns automated systems. Some companies, including OpenAI, secretive data AI systems trained upon. Thats harder understand chatbot producing biased false answers requests address concerns stealing copyrighted works.Companies worried liable training data incentives rigorously track it, said Margaret Mitchell, chief ethics scientist AI startup Hugging Face. I think possible OpenAI actually training data level useful terms concerns consent privacy licensing, Mitchell said interview Tuesday. From I know tech culture, isnt done. Theoretically, kind disclosure law force AI providers open systems thirdparty scrutiny. But AI systems built atop previous models, wont easy companies provide greater transparency fact. I think going governments decide means trash work youve not, Mitchell said. Of course, I kind imagine U.S., decisions lean corporations supportive fact done. It massive ramifications companies essentially trash work start over. Listen subscribe: Apple Podcasts Google Podcasts Spotify YouTube RSS Feed Omny Studio While White House Thursday signaled collaborative approach industry, companies build use AI facing heightened scrutiny U.S. agencies Federal Trade Commission, enforces consumer protection antitrust laws. The companies face potentially tighter rules European Union, negotiators putting finishing touches AI regulations proposed years ago. The rules vault 27nation bloc forefront global push set standards technology. When EU drew proposal AI rules 2021, focus reining highrisk applications threaten peoples safety rights live facial scanning government social scoring systems, judge people based behavior. Chatbots barely mentioned. But reflection fast AI technology developed, negotiators Brussels scrambling update proposals account general purpose AI systems. Provisions added require socalled foundation AI models disclose copyright material train systems, according recent partial draft legislation obtained The Associated Press.Foundation models subcategory general purpose AI includes systems like ChatGPT. Their algorithms trained vast pools data.A European Parliament committee vote week bill, years AI Act takes effect. Elsewhere Europe, Italy temporarily banned ChatGPT breach stringent European privacy rules, European Data Protection Board set AI task force, possible initial step draw common AI privacy rules. In U.S., putting AI systems public inspection DEF CON hacker conference novel way test risks, onetime event thorough prolonged audit, said Heather Frase, senior fellow Georgetown Universitys Center Security Emerging Technology.Along Google, Microsoft, OpenAI Anthropic, companies White House says agreed participate include Hugging Face, chipmaker Nvidia Stability AI, known imagegenerator Stable Diffusion.This way skilled creative people kind big burst, Frase said. OBrien reported Cambridge, Massachusetts. AP writers Seung Min Kim Washington Kelvin Chan London contributed report. Follow APs coverage artificial intelligence 2023 The Associated Press. . This material published, broadcast, rewritten redistributed permission. 0 Comments Love 0 Funny 0 Wow 0 Sad 0 Angry 0 Tags Dcc Wire Apmediaapi Ai Artificial Intelligence White House Harris Artificial Intelligence Generative Ai Technology Science Politics Business Privacy Be know Get local news delivered inbox Sign I understand agree registration use site constitutes agreement user agreement privacy policy. Related story Most Popular Huawei 1Q revenue edges up, profit margin narrows Chinese tech giant Huawei says revenue edged 0.8 year earlier months 2023 company profitable. 300 arrested global crackdown dark web drug market Authorities U.S. Europe arrested nearly 300 people seized 53 million latest major takedown dark web mark Telegram app Brazil judge lifts suspension Internet providers wireless carriers Brazil stopped blocking Telegram federal judge partially revised rulingsuspending Stock market today: Wall Street rises cap winning April Wall Street closed winning April gains Friday companies profits start year werent bad expect Telegram CEO claims complying Brazil order impossible Telegrams CEO says company appeal Brazilian judges decision block access social media platform Brazil failing Watch Now: Related Video The number women planning delaying retirement increasing How correctly clean remote controls How correctly clean remote controls Five bad morning habits avoid Five bad morning habits avoid Three amazing benefits fish oil Three amazing benefits fish oil Close Facebook Twitter YouTube Pinterest Instagram Sites Partners Business Journal Events Calendar Jobs I Love A Deal Shoppers Guide Siouxland Homes Siouxland Life Weekender Wheels You Mr. Goodfellow Services Eedition Email Newsletters Become Member Customerservice Find Sioux City Jobs Advertise Announce event Us Work Become Carrier 2023 Sioux City Journal, 515 Pavonia St. Sioux City, IA 51101 Terms Use Do Not Sell My Info Preferences Powered BLOX Content Management System . 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https://southernmarylandchronicle.com/2022/05/05/how-ai-predicts-what-youll-buy/
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Posted inEconomy
How AI predicts what you’ll buy
by
Stacker
May 5, 2022May 5, 2022
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Credit: Pixabay
It’s a jungle out there—few places so much so as the world of “smart” advertising.
There, marketing geniuses have developed increasingly sophisticated algorithms that take all the information gathered about you online or from your phone and piece together a customer profile that may include everything from your favorite pair of socks to your children’s names.
Analyzing current market practices, Wicked Reports explored how artificial intelligence, or AI, can be wielded to gather data and make sales predictions across the internet. Some techniques you may know, such as persistent cookies that turn your computer into a ping hub for the websites you visit. Others are much more sophisticated, compiling all of your characteristics by analyzing what you’ve bought in the past, what you’ve put in your cart and abandoned, and what you’ve searched for. From there, advertisers can even make a version of similar customers to market to them as well.
The digital advertising industry is expected to crest $20 billion in 2022. That’s far from enough to crack the top 10 biggest industries in the U.S., but it’s a substantial amount of money—particularly when compared to the big-ticket ad buys of the past in splashy magazine spreads. Companies today are more eager than ever to spend what it takes to bring in ideal customers.
Continue reading to discover some of the tactics AI uses to predict buying behaviors.
Compiling user movement across the web
You may know about cookies: tiny text files that websites deposit on your computer as a way to track online behavior.
When you visit websites from Europe, for example, a law there mandates that you click through a cookie agreement that’s much more transparent than in the U.S. There are session cookies lasting one browsing “session” (until you restart your computer or browser) and persistent cookies that stay until you delete them. Think of a cookie as a waving arm each time you visit the same website. Together, they form a heat map of how often and when you visit every website in your browsing history. They can even flag your presence to other websites as a way to combine your data.
Identifying user characteristics
User characteristics, and something called demographic segmentation, is a key way online advertising targets you. User characteristics are any of your qualities, from your gender and age to what car you drive and the pets you own. These user characteristics lead to the advertising concept of demographic segmentation, in which companies can buy lists of really specific people.
Are you a 25-year-old white man with one dog, a full-time job as an auto tech, and an apartment rental in a “transitional” neighborhood? We have just the plaid shirt for you.
Mapping user location data
If you’ve used GPS in your smartphone or any of the hyperlocal dating apps, you’ve leveraged location data to your advantage—at least for now.
How does your phone know where you are? Cellphone towers ping your phone when you’re nearby. In your home, your Wi-Fi network is likely hardcoded with your location. That’s also true of any Wi-Fi network you hop into or onto during your errands, at school, at work, and so forth. After that, GPS can pinpoint your phone to an alarmingly small area as you carry it around, so not just in your home but in one corner of one room.
Matching new users to known customers who look and act in similar ways
Some items on this list are not very surprising, or we’re used to being told about them so they don’t seem as insidious and scary as they once did. But people are likely still surprised by the depths that companies will go to in order to better advertise to you. Your favorite clothing store, for example, might put together a complete data “picture” of you: what you’ve purchased from them, what size you shop for, where your address is, and more. Then they can reverse engineer someone just like you and buy a demographically matching list.
Anything can be filtered until just the exact desired customer base remains, and then they buy the ads.
IP address targeting by network connection
How much do you know about your IP address? Many of us are old enough to remember a time when connecting to the internet required knowing a specific IP address and typing it into our PC settings.
Today, the router you likely have in your home has a hard-coded IP address whose number values reflect where you are as well as which “node” you have on your local network. That information may be for sale to different companies because, with the right technology, they can use some IP addresses in order to infer the rest—and guess where you live. Apple is among the tech companies pushing back on IP targeting of this nature by masking IP addresses in its proprietary browser Safari.
This story originally appeared on Wicked Reports and was produced and distributed in partnership with Stacker Studio.
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How AI predicts what you’ll buy
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How AI predicts youll buy The Southern Maryland Chronicle Close News Tips Donate for: Home Counties Anne Arundel County Charles County Calvert County Prince Georges County St. Marys County Community Calendar Crime Government Federal Government SoMD Government State Government SoMD Arts Entertainment Obituaries More Business Economy Health Sports Outdoors Facebook Twitter Instagram Pinterest YouTube Close Skip content Menu Facebook Twitter Instagram Pinterest YouTube The Southern Maryland Chronicle When News Matters, It Matters Where You Get Your News. News Tips Donate Open for: Menu Home Counties Anne Arundel County Charles County Calvert County Prince Georges County St. Marys County Community Calendar Crime Government Federal Government SoMD Government State Government SoMD Arts Entertainment Obituaries More Business Economy Health Sports Outdoors Posted inEconomy How AI predicts youll buy Stacker May 5, 2022May 5, 2022 Share this:TweetPrintShare TumblrEmail Credit: Pixabay Its jungle therefew places world smart advertising. There, marketing geniuses developed increasingly sophisticated algorithms information gathered online phone piece customer profile include favorite pair socks childrens names. Analyzing current market practices, Wicked Reports explored artificial intelligence, AI, wielded gather data sales predictions internet. Some techniques know, persistent cookies turn ping hub websites visit. Others sophisticated, compiling characteristics analyzing youve bought past, youve cart abandoned, youve searched for. From there, advertisers version similar customers market well. The digital advertising industry expected crest 20 billion 2022. Thats far crack 10 biggest industries U.S., substantial moneyparticularly compared bigticket ad buys past splashy magazine spreads. Companies today eager spend takes bring ideal customers. Continue reading discover tactics AI uses predict buying behaviors. Compiling user movement web You know cookies: tiny text files websites deposit way track online behavior. When visit websites Europe, example, law mandates click cookie agreement thats transparent U.S. There session cookies lasting browsing session restart browser persistent cookies stay delete them. Think cookie waving arm time visit website. Together, form heat map visit website browsing history. They flag presence websites way combine data. Identifying user characteristics User characteristics, called demographic segmentation, key way online advertising targets you. User characteristics qualities, gender age car drive pets own. These user characteristics lead advertising concept demographic segmentation, companies buy lists specific people. Are 25yearold white man dog, fulltime job auto tech, apartment rental transitional neighborhood? We plaid shirt you. Mapping user location data If youve GPS smartphone hyperlocal dating apps, youve leveraged location data advantageat now. How phone know are? Cellphone towers ping phone youre nearby. In home, WiFi network likely hardcoded location. Thats true WiFi network hop errands, school, work, forth. After that, GPS pinpoint phone alarmingly small area carry around, home corner room. Matching new users known customers look act similar ways Some items list surprising, told dont insidious scary did. But people likely surprised depths companies order better advertise you. Your favorite clothing store, example, complete data picture you: youve purchased them, size shop for, address is, more. Then reverse engineer like buy demographically matching list. Anything filtered exact desired customer base remains, buy ads. IP address targeting network connection How know IP address? Many old remember time connecting internet required knowing specific IP address typing PC settings. Today, router likely home hardcoded IP address number values reflect node local network. That information sale different companies because, right technology, use IP addresses order infer restand guess live. Apple tech companies pushing IP targeting nature masking IP addresses proprietary browser Safari. This story originally appeared Wicked Reports produced distributed partnership Stacker Studio. Like this:Like Loading... Related Leave comment Leave Reply Cancel reply for: Latest News Two North Point High students charged assaulting staff member May 5, 2022 A Journey Through Time: How Southern Maryland Families Embraces Past, Present Future May 5, 2022 How AI predicts youll buy May 5, 2022 Tarleton Named AllUnited East Baseball Team May 5, 2022 D.C. man gets 10 years Maryland Casino kidnapping case May 5, 2022 Blue Crabs Shutout Barnstormers 10th Straight Win May 5, 2022 Island Music Company proud accept NAAMs Top 100 Dealer Award May 5, 2022 American teens experiencing rise mental health disorders, suicidal thoughts May 5, 2022 LindgrenStreicher Headlines Womens Rowing AllMARC Teams May 5, 2022 Federal Reserve announces largest rate increase 20 years May 5, 2022 Facebook Twitter Instagram Pinterest YouTube The Southern Maryland ChronicleSoMDC alldigital news source SoMD. We cover Charles, Calvert, St. Marys Counties; Southern portions Anne Arundel Prince Georges County. SoMDC covers aspect SoMD Region continue grow community. SoMDC appreciates feedback community, tips, pictures, articles contributed, support. Auto Environment Family Fire Food Drink History Home Garden Recalls Science Technology Ethics Policy Digital Publishing Guidelines Confidentiality Agreements Ownership Information 2022 The Southern Maryland Chronicle. Proudly powered Newspack Automattic 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:
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https://starexponent.com/business/global-healthcare-ai-company-moving-headquarters-to-ashburn-creating-60-jobs/article_c87b5c16-62f2-57ac-a22d-4b2d56152815.html
| 2021-03-12T00:00:00 |
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Global healthcare AI company moving headquarters to Ashburn, creating 60 jobs | Business | starexponent.com
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Global healthcare AI company moving headquarters to Ashburn, creating 60 jobs
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Global healthcare AI company moving headquarters to Ashburn, creating 60 jobs
Allison Brophy Champion
Mar 12, 2021
3 hrs ago
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Founded in India, the AI company Zasti Inc. until recently was located in the UK and is establishing its new headquarters in Ashburn.
ZASTI INC.
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Allison Brophy Champion
A healthcare-focused artificial intelligence company founded in India will create 60 new jobs and invest $5.9 million to establish its U.S. headquarters in Loudoun County, Gov. Ralph Northam announced Thursday.Zasti Inc. develops innovative risk screening, predictive analytics, and climate change solutions for the healthcare industry, the release stated. The company will utilize the facility to develop and embed ZASTI© AI platforms in diagnostic devices and enterprise IT systems to ensure product quality, supply chain security, and affordability.Virginia successfully competed with Maryland for the project.The Virginia Economic Development Partnership worked with Loudoun County to secure the project with a $150,000 grant from the Commonwealth’s Opportunity Fund. Employee training activities will be provided through the Virginia Jobs Investment Program.
“Virginia continues to push new boundaries in artificial intelligence, and we are excited to welcome a global company that is advancing both the technology and healthcare industries with its innovative platform,” said Northam said.
Virginia has the second-highest concentration of technology workers in the country, he said.
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“Zasti’s Loudoun County operation will tap into the deep well of talent in the region to build on its mission of using artificial intelligence to address our most pressing challenges,” the governor said.
Founded in 2017 at the Healthcare Technology Innovation Centre of the Indian Institute of Technology Madras, Zasti – Sanskrit for ‘prediction’ – developed and validated its AI platform for three years in India and the United Kingdom, where the company was headquartered until recently, according to an email Friday from CEO Zasti Krish Krishnan.
"We plan to begin hiring from April 1 onwards and we will be linked to the Loudoun jobs portal as well in the near future," he said.Zasti will establish its headquarters in existing commercial space in Ashburn, Krishnan said.The company brings strong environmental, social, and governance values to the nation’s healthcare, the governor's news release stated.
Zasti’s predictive analytics solutions are designed to provide early risk screening solutions to underserved communities and decarbonize healthcare. Each AI platform is based on rigorous research and validation conducted in tandem with high-pedigree academic research institutions, the release stated.
“Virginia represents a confluence of values given its workforce diversity, commitment to the environment, and a strong academic research setting,” Krishnan said in a statement. “It is a great place for a transformative vision-driven business like ours to thrive. Our AI platform offers valuable health risk screening and early disease detection for communities in need while creating low-carbon pathways for our stakeholders. With continued support from Loudoun County and Virginia, we hope to grow our workforce well beyond 60 jobs.”
The company posted Friday on its Facebook page: "Zasti is extremely proud to be part of the Loudoun County eco-system in Virginia. #LoudounPossible #AI #Virginia."[email protected](540) 825-4315
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Founded in India, the AI company Zasti Inc. until recently was located in the UK and is establishing its new headquarters in Ashburn.
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Global healthcare AI company moving headquarters Ashburn, creating 60 jobs Business Skip main content Return home Please subscribe reading. You cancel time. Already subscriber? Log Activate account. Loadinghellp; No thanks, return home. Please log reading. Enjoy unlimited articles lowest prices ever. featured_button_text You owner article. Edit Article Add New Article Close You permission edit article. Edit Close Log In Dashboard Logout My Account Dashboard Profile Saved items Logout News Local COVID19 Crime State Regional Politics Education Business National World Multimedia News Tip Obituaries Share Story Recent Obituaries Find Obituary Opinion Submit Letter Letters Editorial Columnists Cartoons Sports High School College Local Professional Entertainment Event Calendar Arts Theatre Movies Music Television Contests Lifestyles Food Cooking Home Garden Health Parenting Fashion People Pets Travel Faith Sponsored Features Brand Ave. Studios Print Edition EEdition Todays Ads Special Sections Buy Sell Place Ad Jobs Homes Cars Classifieds Business Directory Public Notices Customer Service Manage Subscription Activate Digital Subscription Newsletter signup Us Help Center Mobile Apps Weather: Live radar Facebook Twitter 2021 Lee Enterprises Join Log In Dashboard Logout My Account Dashboard Profile Saved items Logout News Obituaries Opinion Sports Entertainment Lifestyles COVID19 Buy Sell Global healthcare AI company moving headquarters Ashburn, creating 60 jobs 0 comments Share Facebook Twitter WhatsApp SMS Email Print Save story Global healthcare AI company moving headquarters Ashburn, creating 60 jobs Allison Brophy Champion Mar 12, 2021 3 hrs ago 0 featured_button_text 1 2 Founded India, AI company Zasti . recently located UK establishing new headquarters Ashburn. ZASTI INC. Facebook Twitter WhatsApp SMS Email Print Save Allison Brophy Champion A healthcarefocused artificial intelligence company founded India create 60 new jobs invest 5.9 million establish U.S. headquarters Loudoun County, Gov. Ralph Northam announced Thursday.Zasti . develops innovative risk screening, predictive analytics, climate change solutions healthcare industry, release stated. The company utilize facility develop embed ZASTI AI platforms diagnostic devices enterprise IT systems ensure product quality, supply chain security, affordability.Virginia successfully competed Maryland project.The Virginia Economic Development Partnership worked Loudoun County secure project 150,000 grant Commonwealths Opportunity Fund. Employee training activities provided Virginia Jobs Investment Program. Virginia continues push new boundaries artificial intelligence, excited welcome global company advancing technology healthcare industries innovative platform, said Northam said. Virginia secondhighest concentration technology workers country, said. Support Local Journalism Your subscription makes reporting possible. featured_button_text Zastis Loudoun County operation tap deep talent region build mission artificial intelligence address pressing challenges, governor said. Founded 2017 Healthcare Technology Innovation Centre Indian Institute Technology Madras, Zasti Sanskrit prediction developed validated AI platform years India United Kingdom, company headquartered recently, according email Friday CEO Zasti Krish Krishnan. We plan begin hiring April 1 onwards linked Loudoun jobs portal near future, said.Zasti establish headquarters existing commercial space Ashburn, Krishnan said.The company brings strong environmental, social, governance values nations healthcare, governors news release stated. Zastis predictive analytics solutions designed provide early risk screening solutions underserved communities decarbonize healthcare. Each AI platform based rigorous research validation conducted tandem highpedigree academic research institutions, release stated. Virginia represents confluence values given workforce diversity, commitment environment, strong academic research setting, Krishnan said statement. It great place transformative visiondriven business like thrive. Our AI platform offers valuable health risk screening early disease detection communities need creating lowcarbon pathways stakeholders. With continued support Loudoun County Virginia, hope grow workforce 60 jobs. The company posted Friday Facebook : Zasti extremely proud Loudoun County ecosystem Virginia. LoudounPossible AI Virginia.abrophy 8254315 0 comments Tags Artificial Intelligence Zasti Krish Krishnan Virginia Jobs Investment Company Work Economics Computer Science Screening Healthcare Ralph Northam Watch Now: Related Video Restaurant owner talks pandemic affected restaurant business The frugal habits wealthiest people world The frugal habits wealthiest people world Money moves lose job Money moves lose job Student Loan Deferrals Can Impact Your Credit: Heres How AP Student Loan Deferrals Can Impact Your Credit: Heres How The business news need With weekly newsletter looking local history. Sign I understand agree registration use site constitutes agreement user agreement privacy policy. Allison Brophy Champion Reporter A news reporter Culpeper 2000, I got start business youngster delivering papers school Elizabeth Daily Journal urban New Jersey. 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With simple planning, household cars easily save cost car payment year. Close 1 2 Founded India, AI company Zasti . recently located UK establishing new headquarters Ashburn. ZASTI INC. Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter Sites Partners Place Classified Ad Newsletter Signup Photo Submissions Join Our Team Public Notices Services Manage Subscription Us Advertise Submission Forms Carrier 2021 , 122 W. Spencer St. Culpeper, VA Terms Use Powered BLOX Content Management System . Notifications Settings You dont notifications. Get uptotheminute news sent straight device. Topics Breaking News
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] | 1 | 5,107 |
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| 2020-10-23T00:00:00 |
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Edge Artificial Intelligence Chips Market Analysis by Size, Share, Key Growth Factors, Competitive Landscape and Forecast to 2027 - Stock Market Vista
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Edge Artificial Intelligence Chips Market Analysis by Size, Share, Key Growth Factors, Competitive Landscape and Forecast to 2027 - Stock Market Vista
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Edge Artificial Intelligence Chips Market Analysis by Size, Share, Key Growth Factors, Competitive Landscape and Forecast to 2027
Post author
By Sofia Miller
Post date
October 23, 2020
No Comments on Edge Artificial Intelligence Chips Market Analysis by Size, Share, Key Growth Factors, Competitive Landscape and Forecast to 2027
The latest market report published by Verified Market Research, titled ‘Global Edge Artificial Intelligence Chips Market,’ presents an accurate analysis of the estimated market size, share, revenue, and sales & distribution networks of the global Edge Artificial Intelligence Chips market over the forecast period. The report offers an exhaustive overview of the market, along with a precise summary of the market’s leading regions. Our team of analysts has studied the existing competitive landscape of the market inside out, focusing on the leading companies and their business expansion strategies. The report ends with conclusive data offering useful insights into the market growth on both regional and global levels.
Edge Artificial Intelligence Chips Market was valued at USD 1.71 Billion in 2019 and is projected to reach USD 2.04 Billion by 2027, growing at a CAGR of 2.2 % from 2020 to 2027.
Get a sample of the report @ https://www.verifiedmarketresearch.com/download-sample/?rid=41901
The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:
NVIDIA Corporation
Advanced Micro Devices
Alphabet
Intel Corporation
Apple
Mythic Ltd.
Arm Limited
Samsung Electronics
Xilinx
HiSilicon(ShanghAI) Technologies CO.
LIMITED
and Others
The report draws the focus of the reader on the grave impact of the ongoing COVID-19 pandemic on the Edge Artificial Intelligence Chips industry and its vital segments and sub-segments. It elaborates on the adverse effects of the pandemic on the global economic scenario, as well as this particular business sphere. The report takes into account the key influencing factors influencing market performance in the present COVID-19 times. The market has been substantially affected by the pandemic, and significant changes have been observed in the market dynamics and demand trends. The report examines the major financial difficulties brought about by the pandemic and offers a future COVID-19 impact assessment.
The market intelligence study takes the reader through the key parameters of the Edge Artificial Intelligence Chips market, including the strengths and weaknesses of the leading players, using analytical tools like the SWOT analysis and Porter’s Five Forces analysis. The report includes broad market segmentation based on the different product types, a wide application spectrum, the key regions, and the existing competition among players.
Buy Now Complete report @ https://www.verifiedmarketresearch.com/select-licence/?rid=41901
Edge Artificial Intelligence Chips Market, By Processor
• CPU• GPU• ASIC• Others
Edge Artificial Intelligence Chips Market, By Device Type
• Consumer Devices• Enterprise Devices
Edge Artificial Intelligence Chips Market, By Function
• Training• Inference
The investigative study further assesses the market on the basis of market reach and consumer base in the key geographical segments. Alongside reviewing the sales network, distribution channels, pricing analysis, profit margins, cost and demand volatility, import/export dynamics, gross revenue, and various other aspects of the market, the report studies several factors affecting market growth over the forecast period, such as drivers, restraints, limitations, growth prospects, and numerous macro- and micro-economic indicators.
Request a discount on the report @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=41901
Key Geographies Encompassed in the Report:
North America (U.S., Canada)Europe (U.K., Germany, Italy, France, Rest of EU)Asia Pacific (India, Japan, China, Australia, Rest of APAC)Latin America (Brazil, Argentina, Rest of Latin America)Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
Key questions addressed in the report:
Which factors could potentially hamper the global market growth during the forecast period?
How is the raw material availability affecting the demand for Edge Artificial Intelligence Chips in this industry vertical?
Which regional market offers the most attractive growth opportunities to the companies operating in this market?
Who are the leading players dominating the global Edge Artificial Intelligence Chips Market?
To read more about the report, visit @ https://www.verifiedmarketresearch.com/product/edge-artificial-intelligence-chips-market/
Thank you for reading our report. For further queries regarding the report, please get in touch with us. Our team will ensure your report is customized as per your requirements.
About us:
Verified Market Research is a leading Global Research and Consulting firm servicing over 5000+ customers. Verified Market Research provides advanced analytical research solutions while offering information enriched research studies. We offer insight into strategic and growth analyses, Data necessary to achieve corporate goals, and critical revenue decisions.
Our 250 Analysts and SME’s offer a high level of expertise in data collection and governance use industrial techniques to collect and analyze data on more than 15,000 high impact and niche markets. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise, and years of collective experience to produce informative and accurate research.
Contact us:
Mr. Edwyne Fernandes
US: +1 (650)-781-4080UK: +44 (203)-411-9686APAC: +91 (902)-863-5784US Toll-Free: +1 (800)-782—1768
Email: [email protected]
Tags
Edge Artificial Intelligence Chips Market, Edge Artificial Intelligence Chips Market Analysis, Edge Artificial Intelligence Chips Market Application, Edge Artificial Intelligence Chips Market Demand, Edge Artificial Intelligence Chips Market Forecast, Edge Artificial Intelligence Chips Market Growth, Edge Artificial Intelligence Chips Market Opportunity, Edge Artificial Intelligence Chips Market Price, Edge Artificial Intelligence Chips Market Size, Edge Artificial Intelligence Chips Market Trends
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Edge Artificial Intelligence Chips Market Analysis by Size, Share, Key Growth Factors, Competitive Landscape and Forecast to 2027
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Edge Artificial Intelligence Chips Market Analysis Size, Share, Key Growth Factors, Competitive Landscape Forecast 2027 Stock Market Vista Skip content Stock Market Vista Menu for: Close search Close Menu Categories Business Healthcare News Technology Edge Artificial Intelligence Chips Market Analysis Size, Share, Key Growth Factors, Competitive Landscape Forecast 2027 Post author By Sofia Miller Post date October 23, 2020 No Comments Edge Artificial Intelligence Chips Market Analysis Size, Share, Key Growth Factors, Competitive Landscape Forecast 2027 The latest market report published Verified Market Research, titled Global Edge Artificial Intelligence Chips Market, presents accurate analysis estimated market size, share, revenue, sales distribution networks global Edge Artificial Intelligence Chips market forecast period. The report offers exhaustive overview market, precise summary markets leading regions. Our team analysts studied existing competitive landscape market inside out, focusing leading companies business expansion strategies. The report ends conclusive data offering useful insights market growth regional global levels. Edge Artificial Intelligence Chips Market valued USD 1.71 Billion 2019 projected reach USD 2.04 Billion 2027, growing CAGR 2.2 2020 2027. Get sample report @ The report covers extensive analysis key market players market, business overview, expansion plans, strategies. The key players studied report include: NVIDIA Corporation Advanced Micro Devices Alphabet Intel Corporation Apple Mythic Ltd. Arm Limited Samsung Electronics Xilinx HiSiliconShanghAI Technologies CO. LIMITED Others The report draws focus reader grave impact ongoing COVID19 pandemic Edge Artificial Intelligence Chips industry vital segments subsegments. It elaborates adverse effects pandemic global economic scenario, particular business sphere. The report takes account key influencing factors influencing market performance present COVID19 times. The market substantially affected pandemic, significant changes observed market dynamics demand trends. The report examines major financial difficulties brought pandemic offers future COVID19 impact assessment. The market intelligence study takes reader key parameters Edge Artificial Intelligence Chips market, including strengths weaknesses leading players, analytical tools like SWOT analysis Porters Five Forces analysis. The report includes broad market segmentation based different product types, wide application spectrum, key regions, existing competition players. Buy Now Complete report @ Edge Artificial Intelligence Chips Market, By Processor CPU GPU ASIC Others Edge Artificial Intelligence Chips Market, By Device Type Consumer Devices Enterprise Devices Edge Artificial Intelligence Chips Market, By Function Training Inference The investigative study assesses market basis market reach consumer base key geographical segments. Alongside reviewing sales network, distribution channels, pricing analysis, profit margins, cost demand volatility, importexport dynamics, gross revenue, aspects market, report studies factors affecting market growth forecast period, drivers, restraints, limitations, growth prospects, numerous macro microeconomic indicators. Request discount report @ Key Geographies Encompassed Report: North America U.S., CanadaEurope U.K., Germany, Italy, France, Rest EUAsia Pacific India, Japan, China, Australia, Rest APACLatin America Brazil, Argentina, Rest Latin AmericaMiddle East Africa Saudi Arabia, U.A.E., South Africa, Rest MEA Key questions addressed report: Which factors potentially hamper global market growth forecast period? How raw material availability affecting demand Edge Artificial Intelligence Chips industry vertical? Which regional market offers attractive growth opportunities companies operating market? Who leading players dominating global Edge Artificial Intelligence Chips Market? To read report, visit @ Thank reading report. For queries report, touch us. Our team ensure report customized requirements. About us: Verified Market Research leading Global Research Consulting firm servicing 5000 customers. Verified Market Research provides advanced analytical research solutions offering information enriched research studies. We offer insight strategic growth analyses, Data necessary achieve corporate goals, critical revenue decisions. Our 250 Analysts SMEs offer high level expertise data collection governance use industrial techniques collect analyze data 15,000 high impact niche markets. Our analysts trained combine modern data collection techniques, superior research methodology, expertise, years collective experience produce informative accurate research. us: Mr. Edwyne Fernandes US: 1 6507814080UK: 44 2034119686APAC: 91 9028635784US TollFree: 1 8007821768 Email: sales Tags Edge Artificial Intelligence Chips Market, Edge Artificial Intelligence Chips Market Analysis, Edge Artificial Intelligence Chips Market Application, Edge Artificial Intelligence Chips Market Demand, Edge Artificial Intelligence Chips Market Forecast, Edge Artificial Intelligence Chips Market Growth, Edge Artificial Intelligence Chips Market Opportunity, Edge Artificial Intelligence Chips Market Price, Edge Artificial Intelligence Chips Market Size, Edge Artificial Intelligence Chips Market Trends Zero Turn Mowers Market Size, Share, Segmentation, Regional Analysis Growth Forecasts 2027 Automotive Natural Gas Vehicle Market Rising Trends, Opportunities, Business Outlook 20202027 Leave Reply Cancel replyYour email address published. 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| 2022-12-31T00:00:00 |
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How AI is Transforming the Landscape of Digital Art | stupidDOPE.com
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How AI is Transforming the Landscape of Digital Art | stupidDOPE.com
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How AI is Transforming the Landscape of Digital ArtCeleste HederaDecember 30, 20222 minute read
AI image of Beyonce that was created by the Artist.ai App.
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Artificial intelligence (AI) has revolutionized the world of digital art in a number of ways, making it easier for artists to create and share their work. Here are a few ways that AI is changing the landscape for digital artists:
AI-powered tools: Many digital art programs now come equipped with AI-powered tools that can assist with tasks such as color correction, image retouching, and even generating new art entirely. For example, Adobe’s “Adobe Sensei” AI platform has been integrated into several of their creative programs, including Photoshop, Illustrator, and InDesign. These tools can help artists save time and improve the quality of their work.
Artistic style transfer: Another way that AI is changing the world of digital art is through the use of artistic style transfer. This process involves using machine learning algorithms to transfer the style of one piece of art onto another image or video. This can be a useful tool for artists who want to experiment with different styles or combine elements from multiple artworks.
Generative art: AI can also be used to create completely new pieces of art through the process of generative art. This involves training machine learning algorithms on a dataset of artworks, and then using those algorithms to generate new, original pieces of art. These AI-generated artworks can be created in a variety of styles, from photorealistic to more abstract or surrealistic.
Sharing and distributing art: Finally, AI is changing the way that digital art is shared and distributed. With the proliferation of social media and online art communities, it’s easier than ever for artists to share their work with a wider audience. AI can also be used to help discover and promote new artists, by analyzing and categorizing artworks based on their style and subject matter.
Overall, AI is transforming the world of digital art in a number of ways, from helping artists to create and improve their work, to making it easier to share and distribute art online. As AI technology continues to evolve, it’s likely that we’ll see even more exciting developments in the world of digital art.
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Celeste Hedera
Black girl magic right here. I love the natural way of life. Clean eating, natural products, wholesome foods.
Related TopicsAdobe SenseiAIartistic style transferdigital artgenerative artIllustratorInDesignMachine Learningonline art communitiesphotoshopsocial media
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How AI is Transforming the Landscape of Digital Art
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How AI Transforming Landscape Digital Art LATEST ABOUT PLAYLISTS REFORM ADVERTISE CONTACT US LATEST ABOUT PLAYLISTS REFORM ADVERTISE CONTACT US How AI Transforming Landscape Digital ArtCeleste HederaDecember 30, 20222 minute read AI image Beyonce created Artist.ai App. Total 1 Shares 0 0 1 Artificial intelligence AI revolutionized world digital art number ways, making easier artists create share work. Here ways AI changing landscape digital artists: AIpowered tools: Many digital art programs come equipped AIpowered tools assist tasks color correction, image retouching, generating new art entirely. For example, Adobes Adobe Sensei AI platform integrated creative programs, including Photoshop, Illustrator, InDesign. These tools help artists save time improve quality work. Artistic style transfer: Another way AI changing world digital art use artistic style transfer. This process involves machine learning algorithms transfer style piece art image video. This useful tool artists want experiment different styles combine elements multiple artworks. Generative art: AI create completely new pieces art process generative art. This involves training machine learning algorithms dataset artworks, algorithms generate new, original pieces art. These AIgenerated artworks created variety styles, photorealistic abstract surrealistic. Sharing distributing art: Finally, AI changing way digital art shared distributed. With proliferation social media online art communities, easier artists share work wider audience. AI help discover promote new artists, analyzing categorizing artworks based style subject matter. Overall, AI transforming world digital art number ways, helping artists create improve work, making easier share distribute art online. As AI technology continues evolve, likely exciting developments world digital art. Want featured stupidDOPE?Reachout lets makeithappen Share Tweet Pin Share Share Celeste Hedera Black girl magic right here. I love natural way life. Clean eating, natural products, wholesome foods. Related TopicsAdobe SenseiAIartistic style transferdigital artgenerative artIllustratorInDesignMachine Learningonline art communitiesphotoshopsocial media newsletter By checking box, confirm read agreeing terms use storage data submitted form. You May Also Like READ Cannabis News Entertainment Events Latest Services Travel New Years Eve Cannabis Celebration: Stock Up Uncle Budd NYCs Premium Flower Sale Celeste HederaDecember 30, 2022 READ Education Finance Latest Sustainability 7 Strategies Reaching Financial Freedom New Year Mason CashDecember 30, 2022 READ Design Latest Sustainability Tech News Visual Arts How AI Transforming Landscape Digital Art Celeste HederaDecember 30, 2022 READ Entertainment Health Beauty Latest Sustainability Travel Why New York City Most Popular Destination 30Somethings US Mason CashDecember 30, 2022 READ Home Living Latest Televisions Experience Future Kitchen Connectivity Samsungs Bespoke Refrigerator Family Hub Plus LeVar ThomasDecember 30, 2022 READ Cannabis News Entertainment Latest Sustainability Gummies vs. PreRolls: A Comparison Popular Cannabis Products Celeste HederaDecember 30, 2022 READ Entertainment Events Food Drink Latest 5 Delicious Festive New Years Eve Drink Recipes Celeste HederaDecember 30, 2022 READ Hotels Retreats Latest Ardh Architects Floating Retreat Elevates Camping Dubais Sharjah Mountains LeVar ThomasDecember 30, 2022 About. Advertise. . Privacy. for: Input search keywords press Enter.
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https://tech.hindustantimes.com/opinion/killer-ai-on-the-loose-wait-let-s-all-calm-down-about-ai-s-extinction-risk-71686068923099.html
| 2023-06-06T00:00:00 |
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Killer AI on the loose? Wait! Let’s all calm down about AI’s ‘extinction risk’ | Opinion
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Killer AI on the loose? Wait! Let’s all calm down about AI’s ‘extinction risk’ | Opinion
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Home Opinion Killer AI on the loose? Wait! Let’s all calm down about AI’s ‘extinction risk’
Killer AI on the loose? Wait! Let’s all calm down about AI’s ‘extinction risk’
The remote possibility of rogue, killer AI has overshadowed more pressing issues — like transparency.
By:BLOOMBERG
| Updated on: Jun 07 2023, 00:02 IST
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Fears deeply baked into our culture about runaway gods and machines are being triggered — but everyone needs to calm down. (AP)
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Fears deeply baked into our culture about runaway gods and machines are being triggered — but everyone needs to calm down. (AP)
For a hot minute last week it looked like we were already on the brink of killer AI. Several news outlets reported that a military drone attacked its operator after deciding the human stood in the way of its objective. Except it turned out this was a simulation. And then it transpired the simulation itself didn't happen. An Air Force colonel had mistakenly described a thought experiment as real at a conference.Even so, fibs travel halfway around the world before the truth laces up its boots and the story is bound to seep into our collective, unconscious worries about AI's threat to the human race, an idea that has gained steam thanks to warnings from two “godfathers” of AI and two open letters about existential risk. Fears deeply baked into our culture about runaway gods and machines are being triggered — but everyone needs to calm down and take a closer look at what's really going on here. First, let's acknowledge the cohort of computer scientists who have long believed AI systems, like ChatGPT, need to be more carefully aligned with human values. They propose that if you design AI to follow principles like integrity and kindness, they are less likely to turn around and try to kill us all in the future. I have no issue with these scientists.But in the last few months, the idea of an extinction threat has become such a fixture in public discourse that you could bring it up at dinner with your in-laws and have everyone nodding in agreement about the issue's importance.On the face of it, this is ludicrous. It is also great news for leading AI companies, for two reasons:1) It creates the specter of an all-powerful AI system that will eventually become so inscrutable we can't hope to understand it. That may sound scary, but it also makes these systems more attractive in the current rush to buy and deploy AI systems. The technology might one day, maybe, wipe out the human race, but doesn't that just illustrate how powerfully it could impact your business today?This kind of paradoxical propaganda has worked in the past. The prestigious AI lab DeepMind, largely seen as OpenAI's top competitor, started life as a research lab with the ambitious target of building AGI, or artificial general intelligence that could surpass human capabilities. Its founders Demis Hassabis and Shane Legg weren't shy about the existential threat of this technology when they first went to big venture capital investors like Peter Thiel to seek funding more than a decade ago. In fact, they talked openly about the risks, and got the money they needed.(1)Spotlighting AI's world-destroying capabilities in vague ways allows us to fill in the blanks with our imagination, ascribing future AI with infinite capabilities and power. It's a masterful marketing ploy.2) It draws attention away from other initiatives that could hurt the business of leading AI firms. Some examples: The European Union this month is voting on a law, called the AI Act, that would force OpenAI to disclose any copyrighted material used to develop ChatGPT. (OpenAI's Sam Altman initially said his firm would “cease operating” in the EU because of the law, then backtracked.) An advocacy group also recently urged the US Federal Trade Commission to launch a probe into OpenAI, and push the company to satisfy the agency's requirements for AI systems to be “transparent, explainable [and] fair.”Transparency is at the heart AI ethics, a field that large tech firms invested more heavily in between 2015 and 2020. Back then, Google, Twitter and Microsoft Corp. all had robust teams of researchers exploring how AI systems like those powering ChatGPT could inadvertently perpetuate biases against women and ethnic minorities, infringe on people's privacy and damage the environment.Yet the more their researchers dug up, the more their business models appeared to be part of the problem. A 2021 paper by Google AI researchers Timnit Gebru and Margaret Mitchell said the large language models being built by their employer could have dangerous biases for minority groups, a problem made worse by their opacity, and they were vulnerable to misuse. Gebru and Mitchell were subsequently fired. Microsoft and Twitter also went on to dismantle their AI ethics teams.That has served as a warning to other AI ethics researchers, according to Alexa Hagerty, an anthropologist and affiliate fellow with the University of Cambridge. “‘You've been hired to raise ethics concerns,'” she says, characterizing the tech firms' view, “but do not raise the ones we don't like.'”The result is now a crisis of funding and attention for the field of AI ethics, and confusion about where researchers should go if they want to audit AI systems, made all the more difficult by leading tech firms becoming more secretive about how their AI models are fashioned.That's a problem even for those who worry about catastrophe. How are people in the future expected to control AI if those systems aren't transparent, and humans don't have expertise in scrutinizing them?The idea of untangling AI's black box — often touted as near impossible — may not be so hard. A May 2023 article in the Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences, showed that the so-called explainability problem of AI is not as unrealistic as many experts have thought till now.Technologists who warn about catastrophic AI risk, like OpenAI CEO Sam Altman, often do so in vague terms. Yet if such organizations truly believed there was even a tiny chance their technology could wipe out civilization, why build it in the first place? It certainly conflicts with the longtermist moral math of Silicon Valley's AI builders, that says a tiny risk with infinite cost should be a major priority.Looking more closely at AI systems now, versus wringing our hands about a vague apocalypse of the future, is not only more sensible, it puts humans in a stronger position to prevent a catastrophic event from happening in the first place. Yet tech companies would much prefer that we worry about that distant prospect than push for transparency around their algorithms.When it comes to our future with AI, we must resist the distractions of science fiction from the greater scrutiny that's necessary today.Parmy Olson is a Bloomberg Opinion columnist covering technology. A former reporter for the Wall Street Journal and Forbes, she is author of “We Are Anonymous.”
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First Published Date: 07 Jun, 00:02 IST
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Killer AI on the loose? Wait! Let’s all calm down about AI’s ‘extinction risk’
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Home Opinion Killer AI loose? Wait Lets calm AIs extinction risk Killer AI loose? Wait Lets calm AIs extinction risk The remote possibility rogue, killer AI overshadowed pressing issues like transparency. By:BLOOMBERG Updated on: Jun 07 2023, 00:02 IST Share Via Robots soon sense human touch, thanks tactile artificial skin null Fears deeply baked culture runaway gods machines triggered needs calm down. AP Watch Video Fears deeply baked culture runaway gods machines triggered needs calm down. AP For hot minute week looked like brink killer AI. Several news outlets reported military drone attacked operator deciding human stood way objective. Except turned simulation. And transpired simulation didnt happen. An Air Force colonel mistakenly described thought experiment real conference.Even so, fibs travel halfway world truth laces boots story bound seep collective, unconscious worries AIs threat human race, idea gained steam thanks warnings godfathers AI open letters existential risk. Fears deeply baked culture runaway gods machines triggered needs calm closer look whats going here. First, lets acknowledge cohort scientists long believed AI systems, like ChatGPT, need carefully aligned human values. They propose design AI follow principles like integrity kindness, likely turn try kill future. I issue scientists.But months, idea extinction threat fixture public discourse bring dinner inlaws nodding agreement issues importance.On face it, ludicrous. It great news leading AI companies, reasons:1 It creates specter allpowerful AI eventually inscrutable hope understand it. That sound scary, makes systems attractive current rush buy deploy AI systems. The technology day, maybe, wipe human race, doesnt illustrate powerfully impact business today?This kind paradoxical propaganda worked past. The prestigious AI lab DeepMind, largely seen OpenAIs competitor, started life research lab ambitious target building AGI, artificial general intelligence surpass human capabilities. Its founders Demis Hassabis Shane Legg werent shy existential threat technology went big venture capital investors like Peter Thiel seek funding decade ago. In fact, talked openly risks, got money needed.1Spotlighting AIs worlddestroying capabilities vague ways allows blanks imagination, ascribing future AI infinite capabilities power. Its masterful marketing ploy.2 It draws attention away initiatives hurt business leading AI firms. Some examples: The European Union month voting law, called AI Act, force OpenAI disclose copyrighted material develop ChatGPT. OpenAIs Sam Altman initially said firm cease operating EU law, backtracked. An advocacy group recently urged US Federal Trade Commission launch probe OpenAI, push company satisfy agencys requirements AI systems transparent, explainable [and] fair.Transparency heart AI ethics, field large tech firms invested heavily 2015 2020. Back then, Google, Twitter Microsoft Corp. robust teams researchers exploring AI systems like powering ChatGPT inadvertently perpetuate biases women ethnic minorities, infringe peoples privacy damage environment.Yet researchers dug up, business models appeared problem. A 2021 paper Google AI researchers Timnit Gebru Margaret Mitchell said large language models built employer dangerous biases minority groups, problem worse opacity, vulnerable misuse. Gebru Mitchell subsequently fired. Microsoft Twitter went dismantle AI ethics teams.That served warning AI ethics researchers, according Alexa Hagerty, anthropologist affiliate fellow University Cambridge. Youve hired raise ethics concerns, says, characterizing tech firms view, raise ones dont like.The result crisis funding attention field AI ethics, confusion researchers want audit AI systems, difficult leading tech firms secretive AI models fashioned.Thats problem worry catastrophe. How people future expected control AI systems arent transparent, humans dont expertise scrutinizing them?The idea untangling AIs black box touted near impossible hard. A May 2023 article Proceedings National Academy Sciences PNAS, peerreviewed journal National Academy Sciences, showed socalled explainability problem AI unrealistic experts thought till now.Technologists warn catastrophic AI risk, like OpenAI CEO Sam Altman, vague terms. Yet organizations truly believed tiny chance technology wipe civilization, build place? It certainly conflicts longtermist moral math Silicon Valleys AI builders, says tiny risk infinite cost major priority.Looking closely AI systems now, versus wringing hands vague apocalypse future, sensible, puts humans stronger position prevent catastrophic event happening place. Yet tech companies prefer worry distant prospect push transparency algorithms.When comes future AI, resist distractions science fiction greater scrutiny thats necessary today.Parmy Olson Bloomberg Opinion columnist covering technology. A reporter Wall Street Journal Forbes, author We Are Anonymous. Follow HT Tech latest tech news reviews , Twitter, Facebook, Google News, Instagram. For latest videos, subscribe YouTube channel. First Published Date: 07 Jun, 00:02 IST Tags: money teams bloomberg alexa wall street journal microsoft corp google ai artificial intelligence life 71686068923099 NEXT ARTICLE BEGINS Tips Tricks Top 5 AC buying tips follow beat summer heat Want upgrade slow PC? Here tips use speed things Full coverage Google Maps Street View India: Know use How cut AC feeling hot How fall WhatsApp scams: Top 5 tips Editors Pick Tecno Phantom V Fold Review: A compelling debut Moto G73 5G review: Clean UI good battery, rest? 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https://techcrunch.com/2020/06/24/cape-privacy-launches-data-science-collaboration-platform-with-5-06m-seed-investment/
| 2020-06-24T00:00:00 |
en
|
Cape Privacy launches data science collaboration platform with $5.06M seed investment – TechCrunch
|
Cape Privacy launches data science collaboration platform with $5.06M seed investment – TechCrunch
Cape Privacy launches data science collaboration platform with $5.06M seed investment
Ron Miller
8 hours
Cape Privacy emerged from stealth today after spending two years building a platform for data scientists to privately share encrypted data. The startup also announced $2.95 million in new funding and $2.11 million in funding it got when the business launched in 2018 for a total of $5.06 million raised.
Boldstart Ventures and Version One led the round with participation from Haystack, Radical Ventures and Faktory Ventures.
Company CEO Ché Wijesinghe says that data science teams often have to deal with data sets that contain sensitive data and share data internally or externally for collaboration purposes. It creates a legal and regulatory data privacy conundrum that Cape Privacy is trying to solve.
“Cape Privacy is a collaboration platform designed to help focus on data privacy for data scientists. So the biggest challenge that people have today from a business perspective is managing privacy policies for machine learning and data science,” Wijesinghe told TechCrunch.
The product breaks down that problem into a couple of key areas. First of all it can take language from lawyers and compliance teams and convert that into code that automatically generates policies about who can see the different types of data in a given data set. What’s more, it has machine learning underpinnings so it also learns about company rules and preferences over time.
It also has a cryptographic privacy component. By wrapping the data with a cryptographic cypher, it lets teams share sensitive data in a safe way without exposing the data to people who shouldn’t be seeing it because of legal or regulatory compliance reasons.
“You can send something to a competitor as an example that’s encrypted, and they’re able to process that encrypted data without decrypting it, so they can train their model on encrypted data,” company co-founder and CTO Gavin Uhma explained.
The company closed the new round in April, which means they were raising in the middle of a pandemic, but it didn’t hurt that they had built the product already and were ready to go to market, and that Uhma and his co-founders had already built a successful startup, GoInstant that was acquired by Salesforce in 2012. (It’s worth noting that GoInstant debuted at TechCrunch Disrupt in 2011.)
Uhma and his team brought Wijesinghe on board to build the sales and marketing team because as a technical team, they wanted someone with go to market experience running the company, so they could concentrate on building product.
The company has 14 employees and are already an all remote team, so that the team didn’t have to adjust at all when the pandemic hit. While it plans to keep hiring fairly limited for the foreseeable future, the company has had a diversity and inclusion plan from the start.
“You have to be intentional about about seeking diversity, so it’s something that when we sit down and map out our hiring and work with recruiters in terms of our pipeline, we really make sure that that diversity is one of our objectives. You just have it as a goal, as part of your culture, and it’s something that when we see the picture of the team, we want to see diversity,” he said.
Wijesinghe adds, “As a person of color myself, I’m very sensitive to making sure that we have a very diverse team, not just from a color perspective, but a gender perspective as well,” he said.
The company is gearing up to sell the product and has paid pilots starting in the coming weeks.
|
Cape Privacy launches data science collaboration platform with $5.06M seed investment
|
Cape Privacy launches data science collaboration platform 5.06M seed investment TechCrunch Cape Privacy launches data science collaboration platform 5.06M seed investment Ron Miller 8 hours Cape Privacy emerged stealth today spending years building platform data scientists privately share encrypted data. The startup announced 2.95 million new funding 2.11 million funding got business launched 2018 total 5.06 million raised. Boldstart Ventures Version One led round participation Haystack, Radical Ventures Faktory Ventures. Company CEO Ch Wijesinghe says data science teams deal data sets contain sensitive data share data internally externally collaboration purposes. It creates legal regulatory data privacy conundrum Cape Privacy trying solve. Cape Privacy collaboration platform designed help focus data privacy data scientists. So biggest challenge people today business perspective managing privacy policies machine learning data science, Wijesinghe told TechCrunch. The product breaks problem couple key areas. First language lawyers compliance teams convert code automatically generates policies different types data given data set. Whats more, machine learning underpinnings learns company rules preferences time. It cryptographic privacy component. By wrapping data cryptographic cypher, lets teams share sensitive data safe way exposing data people shouldnt seeing legal regulatory compliance reasons. You send competitor example thats encrypted, theyre able process encrypted data decrypting it, train model encrypted data, company cofounder CTO Gavin Uhma explained. The company closed new round April, means raising middle pandemic, didnt hurt built product ready market, Uhma cofounders built successful startup, GoInstant acquired Salesforce 2012. Its worth noting GoInstant debuted TechCrunch Disrupt 2011. Uhma team brought Wijesinghe board build sales marketing team technical team, wanted market experience running company, concentrate building product. The company 14 employees remote team, team didnt adjust pandemic hit. While plans hiring fairly limited foreseeable future, company diversity inclusion plan start. You intentional seeking diversity, sit map hiring work recruiters terms pipeline, sure diversity objectives. You goal, culture, picture team, want diversity, said. Wijesinghe adds, As person color myself, Im sensitive making sure diverse team, color perspective, gender perspective well, said. The company gearing sell product paid pilots starting coming weeks.
| 2,020 |
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] | 1 | 5,111 |
https://techcrunch.com/2023/02/21/the-non-profits-accelerating-sam-altmans-ai-vision/
| 2023-02-21T00:00:00 |
en
|
The non-profits accelerating Sam Altman's AI vision • TechCrunch
|
The non-profits accelerating Sam Altman's AI vision • TechCrunch
The non-profits accelerating Sam Altman’s AI vision
His personal investments overlap with the charities in surprising ways
Mark Harris
9 hours
Elon Musk tweeted Saturday a ChatGPT conversation that speculated about the 2019 transition of its creator, OpenAI, from a non-profit to a for-profit organization. The AI chatbot concluded that, if the for-profit business had used the non-profit’s resources for the change, it would have been “highly unethical and illegal.”
It appears that Musk and ChatGPT didn’t have all the facts. Tax filings seen by TechCrunch indicate the original OpenAI non-profit retained control over all of its financial assets, totaling tens of millions of dollars, meaning none of its money was used to spin out the organization’s commercial enterprises.
The interesting part is where that money ended up: financing Universal Basic Income pilots aiming to fix the very problems OpenAI’s technologies seem to be creating.
And that’s just one thread in a web of commercial investments and non-profits that all tie back to Sam Altman, best known as a co-founder of startup accelerator Y Combinator and OpenAI — the non-profit he started with Musk.
His investments span a dozen industries, from nuclear fusion and supersonic planes to molecular diagnostics and crypto, but key among his wider interests are a collection of non-profits, run by Altman and his close friends.
The story of this family of non-profits illustrates how a small group of like-minded entrepreneurs can leverage their charitable donations to not only support their personal causes, but to further commercial interests and possibly even accelerate the transformation of society.
A web of non-profits
It’s far from unusual for tech entrepreneurs to have a charitable foundation or two to distribute their wealth exactly how they wish. But Altman’s commercial and charitable dealings are more intertwined than most.
Altman controls at least two non-profits, OpenAI and OpenResearch, and has provided funding to a third, not previously reported, known as UBI Charitable.
UBI Charitable’s mission is to research and deploy Universal Basic Income (UBI) programs — the no-strings-attached payouts scheme that futurists like Altman and Musk believe will be necessary when advances in robotics and AI, similar to those being developed by the two technologists, render many human occupations unprofitable. It is already funding at least two UBI schemes.
Understanding the connections and the flows of money between Altman’s businesses and charities entities means going back to 2015.
That was the year that Altman co-founded OpenAI with Musk, Reid Hoffman and others, as a 501c3 organization to safely and transparently pursue AI research. It was also the year he spun out a separate non-profit research lab from Y Combinator that would ultimately be called OpenResearch. This research lab was launched to tackle work that required a very long time horizon, sought to answer open-ended questions or develop technology that Altman thought should not be owned by any one company.
“We’re not doing this with the goal of helping YC’s startups succeed or adding to our bottom line,” wrote Altman on Y Combinator’s blog at the time. “At the risk of sounding cliché, this is for the benefit of the world.”
He claimed in the blog that he would start off by personally donating $10 million to OpenResearch and raise more money later.
A filing with the IRS shows that the lab in fact received only $1 million in donations in 2016. Funding for OpenResearch initially lagged, but would eventually top $10 million by 2019. The source of that money was not specified. OpenResearch has received a total of nearly $24.5 million in funding since it was established, according to tax filings. Altman also provided a $5.2 million loan to the organization in 2016, and increased that year by year. Altman had loaned OpenResearch a total of $14 million by the end of 2021, according to the latest records (although he has forgiven some of the debt).
The 2016 filing also claimed that OpenResearch had already made “significant progress” in such diverse areas as programming languages, simulation systems, physical/virtual user interfaces, computer-mediated student-teacher interaction and virtual reality.
OpenResearch kept a low profile in its early years. That changed with the COVID-19 pandemic.
In March 2020, as the virus was shutting down America, Altman tweeted a call for help with clinical trials of potential therapies, that connected him to computational biologist Benjamine Liu, a founder of TrialSpark.
OpenResearch provided TrialSpark with a $1 million grant to help set-up Project Covalence, a platform to support COVID-19 trials in community settings or at patients’ homes. The project’s website stated: “The world doesn’t have time to waste. By coordinating efforts, sharing resources, and streamlining logistics, we can halt the spread of COVID-19 together.”
At least one trial did take place, not for an actual therapy, but for a remote diagnostic test for COVID antibodies. The trial in the summer of 2020 was a success, gathering high-quality samples and positive feedback from participants.
And yet, by late summer 2021, Project Covalence’s website disappeared. Not long after, Altman led a $156 million Series C investment in the company. TrialSpark’s valuation would pop to $1 billion by the time the round closed.
“When donors give, and then benefit from their donations, arguably they are not promoting the public good, but rather their own good,” says Patricia Illingworth, a philosophy professor at Northeastern University and author of Giving Now, a book about the ethics of philanthropy. “I am reminded of the practice of parents donating to the schools their children attend. The donation has an element of self-dealing to it.”
TrialSpark provided the following statement: “We wound down Project Covalence as vaccines and therapies were authorized and approved. We had no concerns about OpenResearch’s contribution to Project Covalence and Sam’s investment in TrialSpark because they are two separate things.”
Altman could not be reached for comment, but a spokesperson for OpenResearch supplied a a statement along similar lines: “Project Covalence was part of a number of efforts during the pandemic, a project that the OpenResearch board felt would be beneficial to the public at that time. It is important to note that Project Covalence is different from TrialSpark.”
A press release issued by TrialSpark itself in July 2020 described Project Covalence as a platform of TrialSpark.
AI vs jobs
By 2020, OpenResearch had largely abandoned its work on user interfaces and virtual reality. Aside from its one-off grant to TrialSpark, OpenResearch’s attention and funds would now be dedicated to UBI research.
In a lengthy 2021 essay, Altman predicted that AI technologies might be able to pay every American $13,500 a year by 2031, and “that dividend could be much higher if AI accelerates growth.” Last year, he tweeted in favor of a $25 minimum wage: “I think it’s good to force the issue on automating jobs we aren’t willing to pay that much for anyway. Long term, I still think this is all the wrong framing and we will probably need something like UBI.”
And he was ready to put his non-profit’s money where his mouth was.
Altman drew funds in 2021 from OpenAI and made a $75,000 grant to OpenResearch to work on UBI. That work involves designing and evaluating UBI programs, and advising other groups.
It makes sense that Altman turned to OpenAI to fund other projects. After all, OpenAI has had no difficulty in attracting donors. By 2018, it had raked in nearly $100 million to fund research projects into AI gaming, training a dexterous robot hand, organizing machine conferences and building out its AI safety team. But it had yet to make any external grants. The same year, Musk surrendered his board seat, citing possible conflicts of interests with Tesla’s AI efforts.
In 2019, most of OpenAI’s 125 employees transferred over to a new for-profit business, confusingly also called OpenAI, that would seek to commercialize the technologies it had developed, including the GPT large language models and text-to-image generators. Microsoft invested $1 billion, alongside other investors and VCs.
But the original non-profit still had $30 million in the bank. With its AI technologies spun off, it now started to make grants, starting with modest contributions to organizations such as the ACLU, Black Girls Code, and Campaign Zero — a non-profit seeking to end police violence.
Then in 2020, the original OpenAI gave away $10 million, nearly one third of its assets, in a previously unreported donation to a non-profit called UBI Charitable, launched that same year. UBI Charitable does not have a website, or any salaried employees or volunteers, and its address is identical to that of OpenResearch.
A tax filing with the state of California reveals that UBI Charitable’s “primary and only currently planned activity will be grant-making to organizations that run universal basic income programs, and other policies and programs aimed at broadly distributing the benefits of technological advancement.”
UBI Charitable’s president and treasurer is Altman’s long-time friend and ex-Mountain View mayor, Chris Clark. Clark is also director of OpenResearch, as well as head of strategy at OpenAI itself. UBI Charitable’s only other income in 2020, a $15 million donation, came via a donor advised fund that protects its originator’s identity. It received another $5.3 million in 2021.
UBI Charitable started spending almost immediately. Since 2020, it has given $8.3 million to CitySquare, an anti-poverty charity in Dallas, and another $8.2 million to Heartland Alliance, a similar organization in Chicago that is already running a UBI pilot, called Chicago Resilient Communities. At the end of 2021, the most recent year for which tax records are available, UBI Charitable was sitting on assets of nearly $15 million.
Fixing the problem it created
The ethics of both funding AI, a technology that could lead to job losses, and providing for people whose livelihoods it threatens, are undeniably complex.
AI technology itself can see two sides to Altman’s actions. When TechCrunch asked ChatGPT, it noted: “If the entrepreneur’s non-profit is creating a tool that could lead to job loss, he or she may be seen as having a responsibility to mitigate the harm that could result. By funding another non-profit to provide support for those who may lose their jobs, the entrepreneur may be seen as fulfilling this responsibility.”
However, the AI system went on: “If the entrepreneur’s actions are motivated by a desire to protect his or her financial interests, rather than a genuine concern for those who may be impacted by the tool, this could be seen as a conflict of interest and potentially unethical.”
Of course, no one should rely on legal or ethical advice from a chatbot, and as Illingworth notes: “We want billionaires to give away their money as fast as they can.”
Whether Altman is trying to stay ahead of a coming technological tsunami, covering his ass, or some combination of the two, the net result is still millions of dollars being funneled to people in financial need. What remains to be seen is whether Altman’s UBI charity keeps pace with the changes AI seems likely to bring, and the profits ChatGPT seems likely to generate, in the years to come.
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The non-profits accelerating Sam Altman's AI vision • TechCrunch
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The nonprofits accelerating Sam Altmans AI vision TechCrunch The nonprofits accelerating Sam Altmans AI vision His personal investments overlap charities surprising ways Mark Harris 9 hours Elon Musk tweeted Saturday ChatGPT conversation speculated 2019 transition creator, OpenAI, nonprofit forprofit organization. The AI chatbot concluded that, forprofit business nonprofits resources change, highly unethical illegal. It appears Musk ChatGPT didnt facts. Tax filings seen TechCrunch indicate original OpenAI nonprofit retained control financial assets, totaling tens millions dollars, meaning money spin organizations commercial enterprises. The interesting money ended up: financing Universal Basic ome pilots aiming fix problems OpenAIs technologies creating. And thats thread web commercial investments nonprofits tie Sam Altman, best known cofounder startup accelerator Y Combinator OpenAI nonprofit started Musk. His investments span dozen industries, nuclear fusion supersonic planes molecular diagnostics crypto, key wider interests collection nonprofits, run Altman close friends. The story family nonprofits illustrates small group likeminded entrepreneurs leverage charitable donations support personal causes, commercial interests possibly accelerate transformation society. A web nonprofits Its far unusual tech entrepreneurs charitable foundation distribute wealth exactly wish. But Altmans commercial charitable dealings intertwined most. Altman controls nonprofits, OpenAI OpenResearch, provided funding third, previously reported, known UBI Charitable. UBI Charitables mission research deploy Universal Basic ome UBI programs nostringsattached payouts scheme futurists like Altman Musk believe necessary advances robotics AI, similar developed technologists, render human occupations unprofitable. It funding UBI schemes. Understanding connections flows money Altmans businesses charities entities means going 2015. That year Altman cofounded OpenAI Musk, Reid Hoffman others, 501c3 organization safely transparently pursue AI research. It year spun separate nonprofit research lab Y Combinator ultimately called OpenResearch. This research lab launched tackle work required long time horizon, sought answer openended questions develop technology Altman thought owned company. Were goal helping YCs startups succeed adding line, wrote Altman Y Combinators blog time. At risk sounding clich, benefit world. He claimed blog start personally donating 10 million OpenResearch raise money later. A filing IRS shows lab fact received 1 million donations 2016. Funding OpenResearch initially lagged, eventually 10 million 2019. The source money specified. OpenResearch received total nearly 24.5 million funding established, according tax filings. Altman provided 5.2 million loan organization 2016, increased year year. Altman loaned OpenResearch total 14 million end 2021, according latest records forgiven debt. The 2016 filing claimed OpenResearch significant progress diverse areas programming languages, simulation systems, physicalvirtual user interfaces, computermediated studentteacher interaction virtual reality. OpenResearch kept low profile early years. That changed COVID19 pandemic. In March 2020, virus shutting America, Altman tweeted help clinical trials potential therapies, connected computational biologist Benjamine Liu, founder TrialSpark. OpenResearch provided TrialSpark 1 million grant help setup Project Covalence, platform support COVID19 trials community settings patients homes. The projects website stated: The world doesnt time waste. By coordinating efforts, sharing resources, streamlining logistics, halt spread COVID19 together. At trial place, actual therapy, remote diagnostic test COVID antibodies. The trial summer 2020 success, gathering highquality samples positive feedback participants. And yet, late summer 2021, Project Covalences website disappeared. Not long after, Altman led 156 million Series C investment company. TrialSparks valuation pop 1 billion time round closed. When donors give, benefit donations, arguably promoting public good, good, says Patricia Illingworth, philosophy professor Northeastern University author Giving Now, book ethics philanthropy. I reminded practice parents donating schools children attend. The donation element selfdealing it. TrialSpark provided following statement: We wound Project Covalence vaccines therapies authorized approved. We concerns OpenResearchs contribution Project Covalence Sams investment TrialSpark separate things. Altman reached comment, spokesperson OpenResearch supplied statement similar lines: Project Covalence number efforts pandemic, project OpenResearch board felt beneficial public time. It important note Project Covalence different TrialSpark. A press release issued TrialSpark July 2020 described Project Covalence platform TrialSpark. AI vs jobs By 2020, OpenResearch largely abandoned work user interfaces virtual reality. Aside oneoff grant TrialSpark, OpenResearchs attention funds dedicated UBI research. In lengthy 2021 essay, Altman predicted AI technologies able pay American 13,500 year 2031, dividend higher AI accelerates growth. Last year, tweeted favor 25 minimum wage: I think good force issue automating jobs arent willing pay anyway. Long term, I think wrong framing probably need like UBI. And ready nonprofits money mouth was. Altman drew funds 2021 OpenAI 75,000 grant OpenResearch work UBI. That work involves designing evaluating UBI programs, advising groups. It makes sense Altman turned OpenAI fund projects. After all, OpenAI difficulty attracting donors. By 2018, raked nearly 100 million fund research projects AI gaming, training dexterous robot hand, organizing machine conferences building AI safety team. But external grants. The year, Musk surrendered board seat, citing possible conflicts interests Teslas AI efforts. In 2019, OpenAIs 125 employees transferred new forprofit business, confusingly called OpenAI, seek commercialize technologies developed, including GPT large language models texttoimage generators. Microsoft invested 1 billion, alongside investors VCs. But original nonprofit 30 million bank. With AI technologies spun off, started grants, starting modest contributions organizations ACLU, Black Girls Code, Campaign Zero nonprofit seeking end police violence. Then 2020, original OpenAI gave away 10 million, nearly assets, previously unreported donation nonprofit called UBI Charitable, launched year. UBI Charitable website, salaried employees volunteers, address identical OpenResearch. A tax filing state California reveals UBI Charitables primary currently planned activity grantmaking organizations run universal basic income programs, policies programs aimed broadly distributing benefits technological advancement. UBI Charitables president treasurer Altmans longtime friend exMountain View mayor, Chris Clark. Clark director OpenResearch, head strategy OpenAI itself. UBI Charitables income 2020, 15 million donation, came donor advised fund protects originators identity. It received 5.3 million 2021. UBI Charitable started spending immediately. Since 2020, given 8.3 million CitySquare, antipoverty charity Dallas, 8.2 million Heartland Alliance, similar organization Chicago running UBI pilot, called Chicago Resilient Communities. At end 2021, recent year tax records available, UBI Charitable sitting assets nearly 15 million. Fixing problem created The ethics funding AI, technology lead job losses, providing people livelihoods threatens, undeniably complex. AI technology sides Altmans actions. When TechCrunch asked ChatGPT, noted: If entrepreneurs nonprofit creating tool lead job loss, seen responsibility mitigate harm result. By funding nonprofit provide support lose jobs, entrepreneur seen fulfilling responsibility. However, AI went on: If entrepreneurs actions motivated desire protect financial interests, genuine concern impacted tool, seen conflict potentially unethical. Of course, rely legal ethical advice chatbot, Illingworth notes: We want billionaires away money fast can. Whether Altman trying stay ahead coming technological tsunami, covering ass, combination two, net result millions dollars funneled people financial need. What remains seen Altmans UBI charity keeps pace changes AI likely bring, profits ChatGPT likely generate, years come.
| 2,023 |
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] | 1 | 5,112 |
https://techcrunch.com/2023/06/24/this-week-in-ai-big-tech-bets-billions-on-machine-learning-tools/
| 2023-06-24T00:00:00 |
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This week in AI: Big tech bets billions on machine learning tools | TechCrunch
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This week in AI: Big tech bets billions on machine learning tools
Kyle Wiggers
Devin Coldewey
8 hours
Keeping up with an industry as fast-moving as AI is a tall order. So until an AI can do it for you, here’s a handy roundup of the last week’s stories in the world of machine learning, along with notable research and experiments we didn’t cover on their own.
If it wasn’t obvious already, the competitive landscape in AI — particularly the subfield known as generative AI — is red-hot. And it’s getting hotter. This week, Dropbox launched its first corporate venture fund, Dropbox Ventures, which the company said would focus on startups building AI-powered products that “shape the future of work.” Not to be outdone, AWS debuted a $100 million program to fund generative AI initiatives spearheaded by its partners and customers.
There’s a lot of money being thrown around in the AI space, to be sure. 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. And Accenture and PwC have announced that they plan to invest $3 billion and $1 billion, respectively, in AI.
But one wonders whether money is the solution to the AI field’s outstanding challenges.
In an enlightening panel during a Bloomberg conference in San Francisco this week, Meredith Whittaker, the president of secure messaging app Signal, made the case that the tech underpinning some of today’s buzziest AI apps is becoming dangerously opaque. She gave an example of someone who walks into a bank and asks for a loan.
That person can be denied for the loan and have “no idea that there’s a system in [the] back probably powered by some Microsoft API that determined, based on scraped social media, that I wasn’t creditworthy,” Whittaker said. “I’m never going to know [because] there’s no mechanism for me to know this.”
It’s not capital that’s the issue. Rather, it’s the current power hierarchy, Whittaker says.
“I’ve been at the table for like, 15 years, 20 years. I’ve been at the table. Being at the table with no power is nothing,” she continued.
Of course, achieving structural change is far tougher than scrounging around for cash — particularly when the structural change won’t necessarily favor the powers that be. And Whittaker warns what might happen if there isn’t enough pushback.
As progress in AI accelerates, the societal impacts also accelerate, and we’ll continue heading down a “hype-filled road toward AI,” she said, “where that power is entrenched and naturalized under the guise of intelligence and we are surveilled to the point [of having] very, very little agency over our individual and collective lives.”
That should give the industry pause. Whether it actually will is another matter. That’s probably something that we’ll hear discussed when she takes the stage at Disrupt in September.
Announcing the Security Stage agenda at TechCrunch Disrupt
Here are the other AI headlines of note from the past few days:
DeepMind’s AI controls robots: DeepMind says that it has developed an AI model, called RoboCat, that can perform a range of tasks across different models of robotic arms. That alone isn’t especially novel. But DeepMind claims that the model is the first to be able to solve and adapt to multiple tasks and do so using different, real-world robots.
Robots learn from YouTube: Speaking of robots, CMU Robotics Institute assistant professor Deepak Pathak this week showcased VRB (Vision-Robotics Bridge), an AI system designed to train robotic systems by watching a recording of a human. The robot watches for a few key pieces of information, including contact points and trajectory, and then attempts to execute the task.
Otter gets into the chatbot game: Automatic transcription service Otter announced a new AI-powered chatbot this week that’ll let participants ask questions during and after a meeting and help them collaborate with teammates.
EU calls for AI regulation: European regulators are at a crossroads over how AI will be regulated — and ultimately used commercially and noncommercially — in the region. This week, the EU’s largest consumer group, the European Consumer Organisation (BEUC), weighed in with its own position: Stop dragging your feet, and “launch urgent investigations into the risks of generative AI” now, it said.
Vimeo launches AI-powered features: This week, Vimeo announced a suite of AI-powered tools designed to help users create scripts, record footage using a built-in teleprompter and remove long pauses and unwanted disfluencies like “ahs” and “ums” from the recordings.
Capital for synthetic voices: ElevenLabs, the viral AI-powered platform for creating synthetic voices, has raised $19 million in a new funding round. ElevenLabs picked up steam rather quickly after its launch in late January. But the publicity hasn’t always been positive — particularly once bad actors began to exploit the platform for their own ends.
Turning audio into text: Gladia, a French AI startup, has launched a platform that leverages OpenAI’s Whisper transcription model to — via an API — turn any audio into text into near real time. Gladia promises that it can transcribe an hour of audio for $0.61, with the transcription process taking roughly 60 seconds.
Harness embraces generative AI: Harness, a startup creating a toolkit to help developers operate more efficiently, this week injected its platform with a little AI. Now, Harness can automatically resolve build and deployment failures, find and fix security vulnerabilities and make suggestions to bring cloud costs under control.
Other machine learnings
This week was CVPR up in Vancouver, Canada, and I wish I could have gone because the talks and papers look super interesting. If you can only watch one, check out Yejin Choi’s keynote about the possibilities, impossibilities, and paradoxes of AI.
Image Credits: CVPR/YouTube
The UW professor and MacArthur Genius grant recipient first addressed a few unexpected limitations of today’s most capable models. In particular, GPT-4 is really bad at multiplication. It fails to find the product of two three-digit numbers correctly at a surprising rate, though with a little coaxing it can get it right 95% of the time. Why does it matter that a language model can’t do math, you ask? Because the entire AI market right now is predicated on the idea that language models generalize well to lots of interesting tasks, including stuff like doing your taxes or accounting. Choi’s point was that we should be looking for the limitations of AI and working inward, not vice versa, as it tells us more about their capabilities.
The other parts of her talk were equally interesting and thought-provoking. You can watch the whole thing here.
Rod Brooks, introduced as a “slayer of hype,” gave an interesting history of some of the core concepts of machine learning — concepts that only seem new because most people applying them weren’t around when they were invented! Going back through the decades, he touches on McCulloch, Minsky, even Hebb — and shows how the ideas stayed relevant well beyond their time. It’s a helpful reminder that machine learning is a field standing on the shoulders of giants going back to the postwar era.
Many, many papers were submitted to and presented at CVPR, and it’s reductive to only look at the award winners, but this is a news roundup, not a comprehensive literature review. So here’s what the judges at the conference thought was the most interesting:
Image Credits: AI2
VISPROG, from researchers at AI2, is a sort of meta-model that performs complex visual manipulation tasks using a multi-purpose code toolbox. Say you have a picture of a grizzly bear on some grass (as pictured) — you can tell it to just “replace the bear with a polar bear on snow” and it starts working. It identifies the parts of the image, separates them visually, searches for and finds or generates a suitable replacement, and stitches the whole thing back again intelligently, with no further prompting needed on the user’s part. The Blade Runner “enhance” interface is starting to look downright pedestrian. And that’s just one of its many capabilities.
“Planning-oriented autonomous driving,” from a multi-institutional Chinese research group, attempts to unify the various pieces of the rather piecemeal approach we’ve taken to self-driving cars. Ordinarily there’s a sort of stepwise process of “perception, prediction, and planning,” each of which might have a number of sub-tasks (like segmenting people, identifying obstacles, etc). Their model attempts to put all these in one model, kind of like the multi-modal models we see that can use text, audio, or images as input and output. Similarly this model simplifies in some ways the complex inter-dependencies of a modern autonomous driving stack.
DynIBaR shows a high-quality and robust method of interacting with video using “dynamic Neural Radiance Fields,” or NeRFs. A deep understanding of the objects in the video allows for things like stabilization, dolly movements, and other things you generally don’t expect to be possible once the video has already been recorded. Again… “enhance.” This is definitely the kind of thing that Apple hires you for, and then takes credit for at the next WWDC.
DreamBooth you may remember from a little earlier this year when the project’s page went live. It’s the best system yet for, there’s no way around saying it, making deepfakes. Of course it’s valuable and powerful to do these kinds of image operations, not to mention fun, and researchers like those at Google are working to make it more seamless and realistic. Consequences… later, maybe.
The best student paper award goes to a method for comparing and matching meshes, or 3D point clouds — frankly it’s too technical for me to try to explain, but this is an important capability for real world perception and improvements are welcome. Check out the paper here for examples and more info.
Just two more nuggets: Intel showed off this interesting model, LDM3D, for generating 3D 360 imagery like virtual environments. So when you’re in the metaverse and you say “put us in an overgrown ruin in the jungle” it just creates a fresh one on demand.
And Meta released a voice synthesis tool called Voicebox that’s super good at extracting features of voices and replicating them, even when the input isn’t clean. Usually for voice replication you need a good amount and variety of clean voice recordings, but Voicebox does it better than many others, with less data (think like 2 seconds). Fortunately they’re keeping this genie in the bottle for now. For those who think they might need their voice cloned, check out Acapela.
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This week in AI: Big tech bets billions on machine learning tools
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This week AI: Big tech bets billions machine learning tools TechCrunch TechCrunch plusbold TechCrunch Open Navigation TechCrunch This week AI: Big tech bets billions machine learning tools Kyle Wiggers Devin Coldewey 8 hours Keeping industry fastmoving asAIis tall order. So AI you, heres handy roundup weeks stories world machine learning, notable research experiments didnt cover own. If wasnt obvious already, competitive landscape AI particularly subfield known generative AI redhot. And getting hotter. This week, Dropbox launched corporate venture fund, Dropbox Ventures, company said focus startups building AIpowered products shape future work. Not outdone, AWS debuted 100 million program fund generative AI initiatives spearheaded partners customers. Theres lot money thrown AI space, sure.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. And Accenture PwC announced plan invest 3 billion 1 billion, respectively, AI. But wonders money solution AI fields outstanding challenges. In enlightening panel Bloomberg conference San Francisco week, Meredith Whittaker, president secure messaging app Signal, case tech underpinning todays buzziest AI apps dangerously opaque. She gave example walks bank asks loan. That person denied loan idea theres [the] probably powered Microsoft API determined, based scraped social media, I wasnt creditworthy, Whittaker said. Im going know [because] theres mechanism know this. Its capital thats issue. Rather, current power hierarchy, Whittaker says. Ive table like, 15 years, 20 years. Ive table. Being table power nothing, continued. Of course, achieving structural change far tougher scrounging cash particularly structural change wont necessarily favor powers be. And Whittaker warns happen isnt pushback. As progress AI accelerates, societal impacts accelerate, continue heading hypefilled road AI, said, power entrenched naturalized guise intelligence surveilled point [of having] very, little agency individual collective lives. That industry pause. Whether actually matter. Thats probably hear discussed takes stage Disrupt September. Announcing Security Stage agenda TechCrunch Disrupt Here AI headlines note past days: DeepMinds AI controls robots:DeepMind says developed AI model, called RoboCat, perform range tasks different models robotic arms. That isnt especially novel. But DeepMind claims model able solve adapt multiple tasks different, realworld robots. Robots learn YouTube: Speaking robots, CMU Robotics Institute assistant professor Deepak Pathak week showcased VRB VisionRobotics Bridge, AI designed train robotic systems watching recording human. The robot watches key pieces information, including contact points trajectory, attempts execute task. Otter gets chatbot game: Automatic transcription serviceOtter announced new AIpowered chatbot week thatll let participants ask questions meeting help collaborate teammates. EU calls AI regulation:European regulators crossroads overhow AI regulated ultimately commercially noncommercially region. This week, EUs largest consumer group, European Consumer Organisation BEUC, weighed position: Stop dragging feet, launch urgent investigations risks generative AI now, said. Vimeo launches AIpowered features: This week, Vimeo announced suite AIpowered tools designed help users create scripts, record footage builtin teleprompter remove long pauses unwanted disfluencies like ahs ums recordings. Capital synthetic voices: ElevenLabs, viral AIpowered platform creating synthetic voices, raised 19 million new funding round. ElevenLabs picked steam quickly launch late January. But publicity positive particularly bad actors began exploit platform ends. Turning audio text: Gladia, French AI startup, launched platform leverages OpenAIs Whisper transcription model API turn audio text near real time. Gladia promises transcribe hour audio 0.61, transcription process taking roughly 60 seconds. Harness embraces generative AI:Harness, startup creating toolkit help developers operate efficiently, week injected platform little AI. Now, Harness automatically resolve build deployment failures, fix security vulnerabilities suggestions bring cloud costs control. Other machine learnings This week CVPR Vancouver, Canada, I wish I gone talks papers look super interesting. If watch one, check Yejin Chois keynote possibilities, impossibilities, paradoxes AI. Image Credits: CVPRYouTube The UW professor MacArthur Genius grant recipient addressed unexpected limitations todays capable models. In particular, GPT4 bad multiplication. It fails product threedigit numbers correctly surprising rate, little coaxing right 95 time. Why matter language model math, ask? Because entire AI market right predicated idea language models generalize lots interesting tasks, including stuff like taxes accounting. Chois point looking limitations AI working inward, vice versa, tells capabilities. The parts talk equally interesting thoughtprovoking. You watch thing here. Rod Brooks, introduced slayer hype, gave interesting history core concepts machine learning concepts new people applying werent invented Going decades, touches McCulloch, Minsky, Hebb shows ideas stayed relevant time. Its helpful reminder machine learning field standing shoulders giants going postwar era. Many, papers submitted presented CVPR, reductive look award winners, news roundup, comprehensive literature review. So heres judges conference thought interesting: Image Credits: AI2 VISPROG, researchers AI2, sort metamodel performs complex visual manipulation tasks multipurpose code toolbox. Say picture grizzly bear grass pictured tell replace bear polar bear snow starts working. It identifies parts image, separates visually, searches finds generates suitable replacement, stitches thing intelligently, prompting needed users part. The Blade Runner enhance interface starting look downright pedestrian. And thats capabilities. Planningoriented autonomous driving, multiinstitutional Chinese research group, attempts unify pieces piecemeal approach weve taken selfdriving cars. Ordinarily theres sort stepwise process perception, prediction, planning, number subtasks like segmenting people, identifying obstacles, etc. Their model attempts model, kind like multimodal models use text, audio, images input output. Similarly model simplifies ways complex interdependencies modern autonomous driving stack. DynIBaR shows highquality robust method interacting video dynamic Neural Radiance Fields, NeRFs. A deep understanding objects video allows things like stabilization, dolly movements, things generally dont expect possible video recorded. Again enhance. This definitely kind thing Apple hires for, takes credit WWDC. DreamBooth remember little earlier year projects went live. Its best for, theres way saying it, making deepfakes. Of course valuable powerful kinds image operations, mention fun, researchers like Google working seamless realistic. Consequences later, maybe. The best student paper award goes method comparing matching meshes, 3D point clouds frankly technical try explain, important capability real world perception improvements welcome. Check paper examples info. Just nuggets: Intel showed interesting model, LDM3D, generating 3D 360 imagery like virtual environments. So youre metaverse overgrown ruin jungle creates fresh demand. And Meta released voice synthesis tool called Voicebox thats super good extracting features voices replicating them, input isnt clean. Usually voice replication need good variety clean voice recordings, Voicebox better others, data think like 2 seconds. Fortunately theyre keeping genie bottle now. For think need voice cloned, check Acapela.
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https://technews.mobi/all-news/2020/02/25/artificial-intelligence-market-industry-analysis-and-opportunity-assessment2019-2029/
| 2020-02-25T00:00:00 |
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Artificial Intelligence Market : Industry Analysis and Opportunity Assessment2019 – 2029
By [email protected]
Published February 25, 2020
All News
Artificial Intelligence Market Insights 2019, is a professional and in-depth study on the current state of the global Artificial Intelligence industry with a focus on the Global market. The report provides key statistics on the market status of the Artificial Intelligence manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry. Overall, the report provides an in-depth insight of 2019-2025 global Artificial Intelligence market covering all important parameters.
Request Sample Report @ https://www.tmrresearch.com/sample/sample?flag=B&rep_id=2858&source=atm
The key points of the Artificial Intelligence Market report:
The report provides a basic overview of the Artificial Intelligence industry including its definition, applications and manufacturing technology.
The report explores the international and Chinese major industry players in detail. In this part, the report presents the company profile, product specifications, capacity, production value, and 2019-2025 market shares for each company.
Through the statistical analysis, the report depicts the global total market of Artificial Intelligence industry including capacity, production, production value, cost/profit, supply/demand and Chinese import/export.
The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
The report then estimates 2019-2025 market development trends of Artificial Intelligence industry. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out.
The report makes some important proposals for a new project of Artificial Intelligence Industry before evaluating its feasibility.
Request For Discount On This Report @ https://www.tmrresearch.com/sample/sample?flag=D&rep_id=2858&source=atm
There are 3 key segments covered in this report: competitor segment, product type segment, end use/application segment.
For competitor segment, the report includes global key players of Artificial Intelligence are included:
Drivers and Restraints
A large number of companies today are concentrating on many different groundbreaking technologies so as to be able to reach out to the customers easily. This happens to be one of the main reasons boosting the global market for artificial intelligence. Such technologies consist of effective marketing practices like social, mobile, analytics and cloud technologies (SMAC) that help the companies to have strong control in the digital business. The need for this market is also arising due to the extended usage of artificial intelligence in various sectors such as E-Commerce, BFSI, retail, health informatics, to name a few. The rise in IT expenditure by companies throughout the globe in the hope of developing enhanced and efficient products will also drive the global artificial intelligence market.
The global market for artificial intelligence is currently facing challenges due to lack of investments. Many of the companies that offer artificial intelligence services have issues in accumulating funds in the initial levels for development and research. This dearth of investment is adversely impacting the task of creating new prototypes along with other technologies. Also, there is a lack of trained professionals in the market to solve advanced technical problems. This lack of professionals also happens to be an important reason in the growth of the global market for artificial intelligence as a whole.
Global Artificial Intelligence Market: Regional Outlook
In the year 2015, North America contributed the most in terms of revenues and it accounted for around 38% of the entire market. The presence of a large number of technology companies is behind the growth of the market for artificial intelligence in North America. Plus, the large investments by the government have proven to be of great help in the technological growth of artificial intelligence in the region. The increased scope of usage of this technology in so many sectors, including retail, BFSI, consumer electronics, media and advertising, and automotive, equally help this market in the North America. Because of these reasons, this region is slated to keep its leadership with it throughout 2024. The Middle East and Africa is expected to register a noticeable CAGR of 38.2% throughout the assessment period, that is the highest in any area. Technological advancements, like the robotic automation, and the rise in the adoption of smart cities, gives impetus to the acceptance of artificial intelligence in the region. The current infrastructure plans like the creation of new airports is making the market in the Middle East and Africa to be full of opportunities.
Global Artificial Intelligence Market: Competitive Landscape
Many of the players are finding it difficult to gather funds for their research which is in early stage. Market players need funds for developing prototypes of their underlying technology and the lack of it is restricting their research. Some of the prominent players within the market include: Nuance Communications, Next IT Corporation, MicroStrategy Inc., eGain Corporation, QlikTech International AB, Microsoft Corporation, Google Inc., Brighterion Inc., IBM Corporation, and IntelliResponse Systems Inc.
Customize This Report @ https://www.tmrresearch.com/sample/sample?flag=CR&rep_id=2858&source=atm
Reasons to Purchase this Report:
* Estimates 2019-2025 Artificial Intelligence market development trends with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Author Recent Posts [email protected] Latest posts by [email protected] (see all) Chip on Board (COB) Light Emitting Diode (LED)Market to Witness Increase in Revenues by 2019-2025 - February 25, 2020 Potassium FluorideMarket Insights, Trends & Future Development Status Recorded During 2019-2025 - February 25, 2020 Stone WoolMarket: Global Trends, Analysis and Forecast 2025 - February 25, 2020
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Artificial Intelligence Market : Industry Analysis Opportunity Assessment2019 2029 TechNews.mobi Market Reports Skip content TechNews.mobi Market Reports Reporting Technology Market Space Electric News NASA Satellite Climate Market Forecast Industry Analysis Market Reports Us Space Electric News NASA Satellite Climate Market Forecast Industry Analysis Market Reports Us Artificial Intelligence Market : Industry Analysis Opportunity Assessment2019 2029 By [emailprotected] Published February 25, 2020 All News Artificial Intelligence Market Insights 2019, professional indepth study current state global Artificial Intelligence industry focus Global market. The report provides key statistics market status Artificial Intelligence manufacturers valuable source guidance direction companies individuals interested industry. Overall, report provides indepth insight 20192025 global Artificial Intelligence market covering important parameters. Request Sample Report @ The key points Artificial Intelligence Market report: The report provides basic overview Artificial Intelligence industry including definition, applications manufacturing technology. The report explores international Chinese major industry players detail. In part, report presents company profile, product specifications, capacity, production value, 20192025 market shares company. Through statistical analysis, report depicts global total market Artificial Intelligence industry including capacity, production, production value, costprofit, supplydemand Chinese importexport. The total market divided company, country, applicationtype competitive landscape analysis. The report estimates 20192025 market development trends Artificial Intelligence industry. Analysis upstream raw materials, downstream demand, current market dynamics carried out. The report makes important proposals new project Artificial Intelligence Industry evaluating feasibility. Request For Discount On This Report @ There 3 key segments covered report: competitor segment, product type segment, end useapplication segment. For competitor segment, report includes global key players Artificial Intelligence included: Drivers Restraints A large number companies today concentrating different groundbreaking technologies able reach customers easily. This happens main reasons boosting global market artificial intelligence. Such technologies consist effective marketing practices like social, mobile, analytics cloud technologies SMAC help companies strong control digital business. The need market arising extended usage artificial intelligence sectors ECommerce, BFSI, retail, health informatics, few. The rise IT expenditure companies globe hope developing enhanced efficient products drive global artificial intelligence market. The global market artificial intelligence currently facing challenges lack investments. Many companies offer artificial intelligence services issues accumulating funds initial levels development research. This dearth investment adversely impacting task creating new prototypes technologies. Also, lack trained professionals market solve advanced technical problems. This lack professionals happens important reason growth global market artificial intelligence whole. Global Artificial Intelligence Market: Regional Outlook In year 2015, North America contributed terms revenues accounted 38 entire market. The presence large number technology companies growth market artificial intelligence North America. Plus, large investments government proven great help technological growth artificial intelligence region. The increased scope usage technology sectors, including retail, BFSI, consumer electronics, media advertising, automotive, equally help market North America. Because reasons, region slated leadership 2024. The Middle East Africa expected register noticeable CAGR 38.2 assessment period, highest area. Technological advancements, like robotic automation, rise adoption smart cities, gives impetus acceptance artificial intelligence region. The current infrastructure plans like creation new airports making market Middle East Africa opportunities. Global Artificial Intelligence Market: Competitive Landscape Many players finding difficult gather funds research early stage. Market players need funds developing prototypes underlying technology lack restricting research. Some prominent players market include: Nuance Communications, Next IT Corporation, MicroStrategy ., eGain Corporation, QlikTech International AB, Microsoft Corporation, Google ., Brighterion ., IBM Corporation, IntelliResponse Systems . Customize This Report @ Reasons Purchase Report: Estimates 20192025 Artificial Intelligence market development trends recent trends SWOT analysis Market dynamics scenario, growth opportunities market years come Market segmentation analysis including qualitative quantitative research incorporating impact economic policy aspects Regional country level analysis integrating demand supply forces influencing growth market. Competitive landscape involving market share major players, new projects strategies adopted players past years Comprehensive company profiles covering product offerings, key financial information, recent developments, SWOT analysis, strategies employed major market players Author Recent Posts [emailprotected] Latest posts [emailprotected] Chip Board COB Light Emitting Diode LEDMarket Witness rease Revenues 20192025 February 25, 2020 Potassium FluorideMarket Insights, Trends Future Development Status Recorded During 20192025 February 25, 2020 Stone WoolMarket: Global Trends, Analysis Forecast 2025 February 25, 2020 Tags: Artificial Intelligence Market Definitions OverviewArtificial Intelligence Market DynamicsArtificial Intelligence Market Segmentation ScopeArtificial Intelligence Market Trends Analy Post navigation Automotive Wheel Market Garner Brimming Revenues 2029Iris Recognition Locks Market 2020: Future Development, Trends, Share Manufacturers Analysis for: Publication Information Us Our Writers Recent Posts Polyglycolic Acid Market Size, Development Growth Status Explored New Research Report 2020 2025: QYR Consulting Wheat Starch Market Development Growth Opportunities Leading Players 2020 2025: QYR Consulting Sucralose Market Size, Industry Growth Status Opportunities Leading Players 2020 2025: QYR Consulting Chip Board COB Light Emitting Diode LED Market Witness rease Revenues 20192025 Biopesticides market : Investigation Growth Forecasted End 2025 2020 TechNews.mobi Market Reports Ezoic review 2020 Massage gun reviews best massage guns
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https://technews.mobi/industry-analysis/2020/02/24/artificial-intelligence-in-healthcare-market-2020-sophisticated-demand-by-2027/
| 2020-02-24T00:00:00 |
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Artificial Intelligence in Healthcare Market 2020 | Sophisticated Demand by 2027 – TechNews.mobi Market Reports
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Artificial Intelligence in Healthcare Market 2020 | Sophisticated Demand by 2027 – TechNews.mobi Market Reports
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Artificial Intelligence in Healthcare Market 2020 | Sophisticated Demand by 2027
By Sagar
Published February 24, 2020
Industry Analysis, Market Forecast
The latest research report on the Artificial Intelligence in Healthcare Market published by Stratagem Market Insights offers a profound awareness of the various market dynamics like trends, drivers, the challenges, and opportunities. The report further elaborates on the micro and macro-economic elements that are predicted to shape the increase of the Artificial Intelligence in Healthcare market throughout the forecast period (2020-2027).
This study highlights the vital indicators of Market growth which comes with a comprehensive analysis of this value chain, CAGR development, and Porter’s Five Forces Analysis. This data may enable readers to understand the quantitative growth parameters of this international industry that is Artificial Intelligence in Healthcare.
Get Sample Copy of this Report: https://www.stratagemmarketinsights.com/sample/12863
The report also highlights opportunities and future scope in the Artificial Intelligence in Healthcare market at the global and regional levels. The study encompasses market attractiveness analysis, wherein the service is benchmarked based on market size, growth rate, and general Artificial Intelligence in Healthcare industry share.
The major manufacturers covered in this report:
NVIDIA Corporation; Nuance Communications, Inc.; Microsoft; Intel Corporation; and DeepMind Technologies Limited
Market Segmentation:
The Artificial Intelligence in Healthcare Market has been segregated into various crucial divisions including applications, types, and regions. Each market segment is intensively studied in the report contemplating its market acceptance, worthiness, demand, and growth prospects. The segmentation analysis will help the client to customize their marketing approach to have a better command of each segment and to identify the most prospective customer base.
Regional Insights of Artificial Intelligence in Healthcare Market
In terms of region, this research report covers almost all the major regions across the globe such as North America, Europe, South America, the Middle East, and Africa and the Asia Pacific. Europe and North America regions are anticipated to show an upward growth in the years to come. While Artificial Intelligence in Healthcare Market in Asia Pacific regions is likely to show remarkable growth during the forecasted period. Cutting edge technology and innovations are the most important traits of the North America region and that’s the reason most of the time the US dominates the global markets. Artificial Intelligence in Healthcare Market in the South, America region is also expected to grow in the near future.
Get Exclusive Discount: https://www.stratagemmarketinsights.com/discount/12863
Key Questions Answered in Report:
What is the major factor which leads this market to the next level?
What will the market Demand and what will be Growth?
What are the latest opportunities to Artificial Intelligence in Healthcare Market in the future?
What are the strengths of the key players?
What is the key to Artificial Intelligence in Healthcare Market?
Artificial Intelligence in Healthcare Market Report provides future growth drivers and the competitive landscape. This will be beneficial for buyers of the market report to gain a clear view of the important growth and subsequent market strategy. The granular information in the market will help monitor future profitability and make important decisions for growth.
Our Study Report Offers:
Market share analysis for the regional and country-level segments.
Artificial Intelligence in Healthcare Market share analysis of the best business players.
Strategic proposal for the new entrants.
Market forecasts for the next five years of all the mentioned segments, sub-segments and conjointly the regional markets.
Market Opportunities, Trends, Constraints, Threats, Challenges, Drivers, Investment and suggestions.
Strategic steerage in key business segments supported the market estimations.
Competitive landscaping mapping the key common trends.
Company identification with careful methods, financials, and up so far developments.
provide chain trends mapping the foremost recent technological advancements.
The report’s conclusion reveals the overall scope of the Global Artificial Intelligence in Healthcare Market in terms of feasibility of investments in the various segments of the market, along with a descriptive passage that outlines the feasibility of new projects that might succeed in the market in the near future.
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Artificial Intelligence Healthcare Market 2020 Sophisticated Demand 2027 TechNews.mobi Market Reports Skip content TechNews.mobi Market Reports Reporting Technology Market Space Electric News NASA Satellite Climate Market Forecast Industry Analysis Market Reports Us Space Electric News NASA Satellite Climate Market Forecast Industry Analysis Market Reports Us Artificial Intelligence Healthcare Market 2020 Sophisticated Demand 2027 By Sagar Published February 24, 2020 Industry Analysis, Market Forecast The latest research report Artificial Intelligence Healthcare Market published Stratagem Market Insights offers profound awareness market dynamics like trends, drivers, challenges, opportunities. The report elaborates micro macroeconomic elements predicted shape increase Artificial Intelligence Healthcare market forecast period 20202027. This study highlights vital indicators Market growth comes comprehensive analysis value chain, CAGR development, Porters Five Forces Analysis. This data enable readers understand quantitative growth parameters international industry Artificial Intelligence Healthcare. Get Sample Copy Report: The report highlights opportunities future scope Artificial Intelligence Healthcare market global regional levels. The study encompasses market attractiveness analysis, service benchmarked based market size, growth rate, general Artificial Intelligence Healthcare industry share. The major manufacturers covered report: NVIDIA Corporation; Nuance Communications, .; Microsoft; Intel Corporation; DeepMind Technologies Limited Market Segmentation: The Artificial Intelligence Healthcare Market segregated crucial divisions including applications, types, regions. Each market segment intensively studied report contemplating market acceptance, worthiness, demand, growth prospects. The segmentation analysis help client customize marketing approach better command segment identify prospective customer base. 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This beneficial buyers market report gain clear view important growth subsequent market strategy. The granular information market help monitor future profitability important decisions growth. Our Study Report Offers: Market share analysis regional countrylevel segments. Artificial Intelligence Healthcare Market share analysis best business players. Strategic proposal new entrants. Market forecasts years mentioned segments, subsegments conjointly regional markets. Market Opportunities, Trends, Constraints, Threats, Challenges, Drivers, Investment suggestions. Strategic steerage key business segments supported market estimations. Competitive landscaping mapping key common trends. Company identification careful methods, financials, far developments. provide chain trends mapping foremost recent technological advancements. The reports conclusion reveals overall scope Global Artificial Intelligence Healthcare Market terms feasibility investments segments market, descriptive passage outlines feasibility new projects succeed market near future. If special requirement let know offer report want. Talk Our Analyst Special RequirementCustomization report: Author Recent Posts Sagar Latest posts Sagar Online Hyperlocal Services Market Is trending In Key Regions To Reach At Next Level In Coming Years? February 24, 2020 Business Intelligence Analytics Market 2020 Industry Analysis, Latest Innovations, Developments, Opportunities Up 20202027 February 24, 2020 Gel Documentation Systems Market SWOT Analysis, Recent Development, Emerging Opportunities, 20202027 February 24, 2020 Tags: Artificial Intelligence Healthcare Market ReportArtificial Intelligence Healthcare Market ShareArtificial Intelligence Healthcare Market SizeArtificial Intelligence Healthcare Market Trends Post navigation Ambient Lighting Software Market Insights, Impressive Growth, Trends Industry Forecast Report 20202027Animal Stem Cell Therapy Market 2020 Trends Analysis, Market Size, Growth Strategies Forecast Till 2027 for: Publication Information Us Our Writers Recent Posts Fiberglass Mold Market Industry Analysis, Opportunity Assessment Forecast 2019 2025 Portal Hypertension Market Growth, Statistics, By Application, Production, Revenue Forecast To 2018 2028 Tractors Tire Market Analysis Value Forecast Snapshot Enduse Industry 20192020 Autolysed yeast extract market display solid growth forecast period 2018 2026 Dysphagia Management Market Intelligence Analysis Period 20162024 2020 TechNews.mobi Market Reports Ezoic review 2020 Massage gun reviews best massage guns
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Revealed by means of MarketsandResearch.biz, the file titled World Edge AI Chips Marketplace 2020 by way of Producers, Sort and Software, Forecast to 2025 supplies an summary of the worldwide marketplace protecting the marketplace panorama and its evolution predictions right through the forecast length from 2020 to 2025. The file permits the patron to evaluate the long-term based totally call for and estimate specific implementations. The file watchfully analyzes and researches every pattern of the worldwide Edge AI Chips marketplace. It delivers an specific research of world Edge AI Chips marketplace proportion research for the brand new entrants & most sensible business gamers, regional and nation stage segments, alternatives, demanding situations, threats funding alternatives. Skilled business analysts analyze the marketplace dimension, expansion alternatives, packages, firms, and provide chains.
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Key gamers functioning on this international Edge AI Chips marketplace are indexed mixed with their marketplace proportion, corporate profiles, regional outlook, product portfolio, fresh traits, strategic research, key gamers available in the market, gross sales, distribution chain, production, manufacturing, new marketplace entrants. The find out about additionally accommodates down-stream and upstream worth chain research, technical traits, and porter’s 5 forces research. Additionally, new approaches for investments in more than a few era and product/carrier sorts are tested on this file.
Some vital business gamers within the international marketplace: Nvidia, Google, Samsung Electronics, Intel, IBM, Xilinx, Apple, Qualcomm Applied sciences, Micron Era, Microsoft, Huawei
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By way of the end-users/software, the marketplace file covers the next segments: Smartphone, Pill, Speaker, Wearable Electronics, Different
The file comprises the region-wise segmentation North The united states (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South The united states (Brazil, Argentina, and so on.), Center East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa) of the marketplace. Within the regional segmentation, the areas dominating the Edge AI Chips marketplace are integrated at the side of the areas the place the expansion of the marketplace is gradual.
ACCESS FULL REPORT: https://www.marketsandresearch.biz/file/85367/global-edge-ai-chips-market-2020-by-manufacturers-type-and-application-forecast-to-2025
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World Edge AI Chips Marketplace 2020 Key Stakeholders, Subcomponent Producers, Trade Affiliation 2025 TechnoWeekly Skip content Menu Android coronavirus Energy News Science Space Technologies for: TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies for: Flash News Scientific Oxygen Concentrator Marketplace Key Distributors, Present Tendencies Producers, International locations Forecast 2026 Invacare, Teijin Pharma, Chart Industries, Inogen Clinical Oxygen Programs Marketplace Trade Alternatives, Research Building Evaluation way 2026 Chart Industries, Oxyplus Applied sciences NOVAIR, OGSI, Oxymat AS International Cruise Tourism Marketplace 2020 Key Avid gamers, Complete Analysis, SWOT Research Forecast means 2025 World Eyesight Take look Instrument Marketplace 2020 Key Gamers, Complete Analysis, SWOT Research Forecast way 2025 20202026 Centered Ion Beam FIB Methods Marketplace Is Booming International International Trade Dimension, Expansion, Segments, ome, Producers Scientific Plastics Extrusion Marketplace Key Distributors, Regional Research Aggressive Panorama Forecast 2026 Vesta, Vention Scientific, Putnam Plastics, Pexco World Steel Subject material Primarily based 3D Printing Marketplace 2020 Key Gamers, Complete Analysis, SWOT Research Forecast means 2025 World Luxurious Vinyl Tile LVT Carpet Marketplace 2020 Key Gamers, Complete Analysis, SWOT Research Forecast means 2025 World Endoscope Washing machineDisinfectors Marketplace 2020 Key Avid gamers, Complete Analysis, SWOT Research Forecast way 2025 Scientific Power Sensors Marketplace Packages, Producers, Developments Research Forecast way 2026 TE Connectivity Size Specialties, Honeywell, NXP Freescale, Amphenol Wednesday, January 20, 2021 News World Edge AI Chips Marketplace 2020 Key Stakeholders, Subcomponent Producers, Trade Affiliation 2025 david January 20, 2021 Revealed means MarketsandResearch.biz, file titled World Edge AI Chips Marketplace 2020 way Producers, Sort Software, Forecast 2025 supplies summary worldwide marketplace protecting marketplace panorama evolution predictions right forecast length 2020 2025. The file permits patron evaluate longterm based totally estimate specific implementations. The file watchfully analyzes researches pattern worldwide Edge AI Chips marketplace. It delivers specific research world Edge AI Chips marketplace proportion research brand new entrants sensible business gamers, regional nation stage segments, alternatives, demanding situations, threats funding alternatives. Skilled business analysts analyze marketplace dimension, expansion alternatives, packages, firms, provide chains. NOTE: Our file highlights key problems hazards businesses possibly come unparalleled outbreak COVID19. Document Creation: The marketplace analysis comprises ancient forecasts marketplace knowledge, for, software main points, value traits, corporate stocks main gamers way geography. It explains prevailing standing long run possibilities worldwide Edge AI Chips marketplace 20152025. Extra importantly, file covers key international locations marketplace accordance kind alertness. Our exploration consultants spotlight indepth valuation long term developments foundation previous knowledge provide cases marketplace. Analytical figures reference diagrams exhibit insights marketplace assist spice corporates trade gross sales actions. DOWNLOAD FREE SAMPLE REPORT: Key gamers functioning international Edge AI Chips marketplace indexed mixed marketplace proportion, corporate profiles, regional outlook, product portfolio, fresh traits, strategic research, key gamers available market, gross sales, distribution chain, production, manufacturing, new marketplace entrants. The additionally accommodates downstream upstream worth chain research, technical traits, porters 5 forces research. Additionally, new approaches investments era productcarrier sorts tested file. Some vital business gamers international marketplace: Nvidia, Google, Samsung Electronics, Intel, IBM, Xilinx, Apple, Qualcomm Applied sciences, Micron Era, Microsoft, Huawei By way product kind, marketplace basically cut into: Device Studying, Herbal Language Processing By way enduserssoftware, marketplace file covers segments: Smartphone, Pill, Speaker, Wearable Electronics, Different The file comprises regionwise segmentation North The united states United States, Canada Mexico, Europe Germany, France, UK, Russia Italy, AsiaPacific China, Japan, Korea, India Southeast Asia, South The united states Brazil, Argentina, on., Center East Africa Saudi Arabia, Egypt, Nigeria South Africa marketplace. Within regional segmentation, areas dominating Edge AI Chips marketplace integrated areas place expansion marketplace gradual. ACCESS FULL REPORT: Marketplace Document Is helping You Working out: Main rising pattern research, elaborate references key drivers, restraints, threats, demanding situations Product categorization addition business chain research jointly influences uniform expansion The worldwide Edge AI Chips marketplace file specializes vital trade priorities funding alternatives wellliked way key gamers addition contributing gamers The marketplace file discusses core expansion trend marketplace dimensions Customization Document: This file custom designed fulfill buyers necessities. Please hook gross sales group gross [emailprotected], sure file fits wishes. Youll able additionally contact executives 12014654211 proportion analysis necessities. Marketsandresearch.biz number international Marketplace Analysis company offering skilled analysis answers, relied way productive. We perceive significance understanding international customers watch purchase, additional usage similar record prominent analysis studies. Marketsandresearch.biz international presence facilitate actual marketplace intelligence usage newest technique, bestinclass analysis ways costeffective measures globals main analysis execs companies. We customers additional 100 international locations provide maximum view traits conduct international. Marketsandresearch.biz number supplier CompleteProvider Analysis, World Undertaking Control, Marketplace Analysis Operations Online Panel Services products. Touch Us Mark Stone Head Trade Building Telephone: 12014654211 Email: gross [emailprotected] Internet: Edge AI ChipsEdge AI Chips MarketEdge AI Chips Market AnalysisEdge AI Chips Market Growth RateEdge AI Chips Market ResearchEdge AI Chips Market Shares DemandGlobal Edge AI Chips Market 2020Google News Post navigation Sure Displacement Blower Marketplace Affect COVID19 Segmentation, SWOT Research, Alternatives Forecast To 2025 John Zink Hamworthy Combustion, KAESER, Korea Hugle Electronics, Martignoni Elettrotecnica, Meech GlobalInternational Automobile Auto Dimming Rear View Mirrors Marketplace 2020 Key Stakeholders, Subcomponent Producers, Business Affiliation 2025 for: Recent Posts Scientific Oxygen Concentrator Marketplace Key Distributors, Present Tendencies Producers, International locations Forecast 2026 Invacare, Teijin Pharma, Chart Industries, Inogen Clinical Oxygen Programs Marketplace Trade Alternatives, Research Building Evaluation way 2026 Chart Industries, Oxyplus Applied sciences NOVAIR, OGSI, Oxymat AS International Cruise Tourism Marketplace 2020 Key Avid gamers, Complete Analysis, SWOT Research Forecast means 2025 World Eyesight Take look Instrument Marketplace 2020 Key Gamers, Complete Analysis, SWOT Research Forecast way 2025 20202026 Centered Ion Beam FIB Methods Marketplace Is Booming International International Trade Dimension, Expansion, Segments, ome, Producers BlogsBackpack Travel Bag Market Exclusive Report Analysis 20212026Widening possibilities electric cars help customers, changing environmentThe UN leader advocates expeditious shift fossil fuels clean energiesThe rapid growth India clean energySungrow Exceeds 10 Gigawatts Solar Power Inverters AmericasThere need reliable, clean energy supply chainThe UK Gets Highest Renewable Generation Record EverThe quest minimize space debrisTeslas investors worried losing ground EuropeThe Partnering Electric Nation Vehicle Igloo Energy Grid ProjectExpansion Kentucky Automotive SceneNew Ventures Renewable Energy Generation PartnershipsL3Harris develop satellite prototype capable detecting hypersonic weaponsItaly witnesses localities energy hub solar powerRocket Lab plans launch German companys supersecret satelliteSpaceXs Counterreflective darker Starlink Satellites better, slightly, Astronomers claimOn space broadband network, European Union speedSmart EV charging Ease Pressure GridChina begin utilizing hydrogen energy way ventured solar energyEV industry set Grow Leaps New Administration Google NewsOral Surgical procedure Chairs Market Measurement, Development Evaluation, Alternatives, Traits, Developments Forecast 2026Air Ships Market Foraying Emerging Economies 2024Allergic reaction Rhinitis Drug Marketplace Software Research 20202025Auto Weatherstripping Market : Facts, Figures Analytical Insights, 2019 2028Steady Configuration Automation Gear Marketplace 2020 By way Measurement Construction Developments, Aggressive Panorama And Key Areas 2025Elbow Orthoses Marketplace Main Era Giants Buzz Once Hanger Health center, Complete Prosthetics OrthoticsFlaked Cereals Market Estimated Experience Hike Growth 2025Global Automotive Part Die Casting Market Industry Growth, Trend, Geography Trends Forecasts 20202025GLOBAL ATHLETIC FOOTWEAR MARKET 2019: TOP KEY PLAYERS, TRENDS, SALE, SUPPLY, DEMAND, SEGMENTATION, OPPORTUNITIES FORECAST TO 2025Global Digital Elevation Models Market Share Smart Manufacturing 2019 Telecommunications Industry, Planning Construction Industry, Air Traffic Routes Navigation, Weather Service, Geological Exploration Industry Proudly powered WordPress Theme: TimesNews By . 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] | 1 | 5,116 |
https://techstory.in/poker-playing-ai-to-change-the-game/
| 2021-04-18T00:00:00 |
en
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Poker Playing AI to Change the Game - TechStory
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Poker Playing AI to Change the Game - TechStory
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HomeFuture TechAI
Poker Playing AI to Change the Game A Big Leap in StrategizingDurga PrabhuApril 18, 2021AI
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This Poker Playing AI Could Change the World
Video Credits: Great Big Story, YouTube
Artificial Intelligence (AI) never fails to surprise us. With its limitless possibilities and an extensive capacity to adapt and learn has always been a topic of curiosity. Artificial Intelligence (AI) has proven to extremely useful in many fields. As the scientists and researchers continue to expand what this technology is capable of, we are faced with a new capability every day.
Amongst many things that Artificial Intelligence (AI) can do, poker playing has been newly added. A poker playing bot was developed by researchers from Carnegie Mellon University and from Facebook’s AI lab. This Artificial Intelligence (AI) system was able to beat world’s top players in Texas Hold’em poker games.
This six player no limit is the world’s most popular form of poker. The name of this AI system developed is ‘Pluribus’. This AI system was developed by Tuomas Sandholm, Angel Jordan Professor of Computer Science and Noam Brown currently a PhD candidate from Carnegie Mellon’s Computer Science Department and a research scientist at Facebook AI.
Tuomas Sandholm while explaining the process of Pluribus says, “Pluribus achieved superhuman performance at multi-player poker, which is a recognized milestone in artificial intelligence and in game theory that has been open for decades. Thus far, superhuman AI milestones in strategic reasoning have been limited to two-party competition. The ability to beat five other players in such a complicated game opens up new opportunities to use AI to solve a wide variety of real-world problems.”
Pluribus learnt to play poker by playing with the copies of itself. This is known as common technique called self play which is generally employed in the training process of Artificial Intelligence (AI). Pluribus was able to master the game of poker in mere 8 days. It did it with the help of a single powerful server with 64 processor cores equipped with less than 512GB of RAM.
Winning against humans is still considered to a milestone when it comes to Artificial Intelligence (AI) development. No computer program has been able to defeat a human so far. Pluribus was able to defeat one of the top players in the world for the poker game. At the end of the game the AI system was able to win a huge amount of $ 48,000.
Daniel “Kid Poker” Negreanu who is a professional poker player, speaking about the involvement of Artificial Intelligence (AI) in the game said, “The game of poker, the way it looked when I started playing in the late-’90s, is very different than what you see today. The advance of AI and different software programs you can use to figure out stuff that, in the past, old-school gamblers kind of just figured out by trial and error. Now there’s actual evidence of in this situation, this is what you should do. That never was around before. A lot of the top players at the very highest level use that to improve their game.”
Speaking about the ease of developing Artificial Intelligence (AI) services Noam Brown says that it can be easily developed with the help of a cloud computing serving for a small amount of $150. Due to this, such technology can be easily applied to the other domains.
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Poker Playing AI Change Game TechStory Send Us A Tip Calling Tech Writers Advertise Games Log Join News Startups Crypto Gadgets Gaming Cars AI Videos Business Women Log In Remember Me Lost password? Yes, add mailing list A password emailed you. News Startups Crypto Gadgets Gaming Cars AI Videos Business Women HomeFuture TechAI Poker Playing AI Change Game A Big Leap StrategizingDurga PrabhuApril 18, 2021AI Facebook Twitter LinkedIn Email WhatsApp Reddit Flipboard This Poker Playing AI Could Change World Video Credits: Great Big Story, YouTube Artificial Intelligence AI fails surprise us. With limitless possibilities extensive capacity adapt learn topic curiosity. Artificial Intelligence AI proven extremely useful fields. As scientists researchers continue expand technology capable of, faced new capability day. Amongst things Artificial Intelligence AI do, poker playing newly added. A poker playing bot developed researchers Carnegie Mellon University Facebooks AI lab. This Artificial Intelligence AI able beat worlds players Texas Holdem poker games. This player limit worlds popular form poker. The AI developed Pluribus. This AI developed Tuomas Sandholm, Angel Jordan Professor Computer Science Noam Brown currently PhD candidate Carnegie Mellons Computer Science Department research scientist Facebook AI. Tuomas Sandholm explaining process Pluribus says, Pluribus achieved superhuman performance multiplayer poker, recognized milestone artificial intelligence game theory open decades. Thus far, superhuman AI milestones strategic reasoning limited twoparty competition. The ability beat players complicated game opens new opportunities use AI solve wide variety realworld problems. Pluribus learnt play poker playing copies itself. This known common technique called self play generally employed training process Artificial Intelligence AI. Pluribus able master game poker mere 8 days. It help single powerful server 64 processor cores equipped 512GB RAM. Winning humans considered milestone comes Artificial Intelligence AI development. No program able defeat human far. Pluribus able defeat players world poker game. At end game AI able win huge 48,000. Daniel Kid Poker Negreanu professional poker player, speaking involvement Artificial Intelligence AI game said, The game poker, way looked I started playing late90s, different today. The advance AI different software programs use figure stuff that, past, oldschool gamblers kind figured trial error. Now theres actual evidence situation, do. That before. A lot players highest level use improve game. Speaking ease developing Artificial Intelligence AI services Noam Brown says easily developed help cloud computing serving small 150. Due this, technology easily applied domains. 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| 2,021 |
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https://telecom.economictimes.indiatimes.com/news/australian-ai-star-appen-flags-first-half-loss-shares-plunge/93291244
| 2022-08-02T00:00:00 |
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Appen Ltd: Australian AI star Appen flags first-half loss, shares plunge, Telecom News, ET Telecom
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Appen Ltd: Australian AI star Appen flags first-half loss, shares plunge, Telecom News, ET Telecom
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Australian AI star Appen flags first-half loss, shares plungeThe warning on Tuesday shows how hefty spending cuts by global tech giants, facing raging inflation and rising interest rates, are filtering into the Australian share market where Appen has been an analyst favourite due to its high-profile customer base.Reuters Updated: August 02, 2022, 12:22 IST
By Byron Kaye and Upasana SinghAustralia's Appen Ltd, which runs artificial intelligence training for Facebook, Google and Amazon.com Inc, said a spending slowdown by clients would bring its first half-year loss since listing, sending its shares tumbling.The warning on Tuesday shows how hefty spending cuts by global tech giants, facing raging inflation and rising interest rates, are filtering into the Australian share market where Appen has been an analyst favourite due to its high-profile customer base.Adding to Appen's challenges, new privacy features in Apple Inc products have reduced the ability of big advertisers including Facebook, which is owned by Meta Platforms Inc, and Alphabet Inc's Google to target users, impacting their appetite for pinpoint-accurate user data, say analysts.Appen's business model involves outsourcing hundreds of data-checking projects to contractors who manually check and label online content, which clients then feed into their algorithms.After warning of a profit decline in May, Appen said it now expects a net loss of $3.8 million in the six months ended June, which would be its first interim loss since listing in 2015, from a net profit of $12.5 million a year earlier."Conditions have changed through the year," Chief Executive Officer Mark Brayan said on an analyst call."We believe this is a slowdown, rather than a competitive situation," he added, when asked if the company had lost business to rivals like Canada's Telus International, which along with Appen dominates the global market for so-called artificial intelligence training.Shares of Appen fell as much as 29% by midsession, against a half percentage point decline on the broader market."Visibility of earnings has historically been low and in this environment of weakening global ad spend... it seems likely that visibility has taken a step down," Jefferies analyst John Campbell wrote in a research note.RBC Capital Markets analyst Garry Sherriff said cooling investor sentiment was "likely to continue ... given multiple material downgrades and questions on revenue visibility and strategy".Follow and connect with us on Twitter, Facebook, Linkedin, YoutubeInternetAppen Ltdprivacy features in Applemetagoogleglobal tech giantsfacebookartificial intelligenceappen sharesamazon
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Appen Ltd: Australian AI star Appen flags first-half loss, shares plunge, Telecom News, ET Telecom
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Appen Ltd: Australian AI star Appen flags firsthalf loss, shares plunge, Telecom News, ET Telecom We updated terms conditions privacy policy Click Continue accept continue ET Telecom Accept updated privacy cookie policy Dear user, ET Telecom privacy cookie policy updated align new data regulations European Union. Please review accept changes continue website.You privacy policy cookie policy. We use cookies ensure best experience website.If choose ignore message, assume happy receive cookies ET Telecom. AnalyticsNecessaryNewsletter NameProviderExpiryTypePurpose Google AnalyticsGoogle1 YearHTTPSTo track visitors site, origin behaviour.iBeat AnalyticsIbeat1 YearHTTPSTo track articles statisticsGrowthRx AnalyticsGrowthRx1 YearHTTPSTo track visitors site behaviour NameProviderExpiryTypePurpose optoutTimes Internet1 YearHTTPSStores users cookie consent state current domainPHPSESSIDTimes Internet1 dayHTTPSStores users preferencesaccessCodeTimes Internet2.5 HoursHTTPSTo serve content relevant regionpfuuidTimes Internet1 YearHTTPSUniquely identify userOSTIDTimes Internet1 YearHTTPSOauth secure tokenOSSOIDTimes Internet1 YearHTTPSOauth user identifierOSTPID Times Internet1 YearHTTPSused sync accross portalsfpidTimes Internet1 YearHTTPSBrowser Fingerprinting uniquely identify client browsers NamePurpose Daily NewsletterReceive daily list important newsPromo MailersReceive information events, industry, etc. Ive read accepted terms conditions NEWS SITES Auto News Retail News Health News Energy News CIO News Real Estate News Brand Equity CFO News IT Security News BFSI News Government News Hospitality News HR News Legal News ET TravelWorld News Infra News B2B News CIOSEA News HRSEA News HRME News Upcoming Event: CFO Meet discussion Revised Companies Act Sign inSign Follow us: News 3G4GDevicesEnterpriseFinancial ResultsIndustryInfrastructureInternationalInternetMVASAppsPeople MovementPolicyReviewsSmartphoneWith 208 billion them, Gautam Adani Mukesh Ambani face off1 hr agoTelcos debt rise, Jio, Airtel unlikely face strain strong balance sheet: Analysts5 hrs ago5G auction ends; Jio tops table Rs 88,078 crore bidsExpect upto Rs 3 lakh crore investment telecom sector: Ashwini VaishnawInvestors comfortable telecom industry, says telecom ministerJio buys spectrum Rs 88,078 crore, geared 5G rollout shortest timeAirtel acquires 19,800 MHz spectrum 5G auction Rs 43,084 crore, plans launch 5G starting key citiesVodafone Idea buys spectrum 3300 MHz 26 GHz bands, strengthen 4G experience 5G rollout5G: Infrastructure hurdles limited use cases play spoilsport initial years rollout5G auction 39th round Day 7, auction continue till UPEast excess demand settles: AnalystsBids spectrum auction cross Rs1.5 lakh croreFeatures InsightsTrends ETT Special Slideshows TeleBytes Live Sessions Brand Solutions Our Networked FutureUnderstand CommScope creates network technolog..ETTelecom India Mobile Conclave 2021Network Transformation: Empowering Telcos ..Built India Virtual Digital Telco Summit 2022Telecom Transformation The Digital Digital Telco Virtual Summit 2021Telecom Transformation The Digital Awards 2022Celebrating Excellence TelecomETTelecom The 5G Congress 2022The Next Big DisruptionWorld Telecom DayUnsung HeroesNokiaSpectrum Auction 2016Transform Your NetworkIndia Mobile CongressThe Elastic Network 3G4G SatCom Digital India Infrastructure Devices Jobs MVASApps TeleStats Policy Industry Smartphone CXO Corner More x Telecom NewsLatest Telecom NewsInternet Exclusive Australian AI star Appen flags firsthalf loss, shares plungeThe warning Tuesday shows hefty spending cuts global tech giants, facing raging inflation rising rates, filtering Australian share market Appen analyst favourite highprofile customer base.Reuters Updated: August 02, 2022, 12:22 IST By Byron Kaye Upasana SinghAustralias Appen Ltd, runs artificial intelligence training Facebook, Google , said spending slowdown clients bring halfyear loss listing, sending shares tumbling.The warning Tuesday shows hefty spending cuts global tech giants, facing raging inflation rising rates, filtering Australian share market Appen analyst favourite highprofile customer base.Adding Appens challenges, new privacy features Apple products reduced ability big advertisers including Facebook, owned Meta Platforms , Alphabet Google target users, impacting appetite pinpointaccurate user data, analysts.Appens business model involves outsourcing hundreds datachecking projects contractors manually check label online content, clients feed algorithms.After warning profit decline May, Appen said expects net loss 3.8 million months ended June, interim loss listing 2015, net profit 12.5 million year earlier.Conditions changed year, Chief Executive Officer Mark Brayan said analyst call.We believe slowdown, competitive situation, added, asked company lost business rivals like Canadas Telus International, Appen dominates global market socalled artificial intelligence training.Shares Appen fell 29 midsession, half percentage point decline broader market.Visibility earnings historically low environment weakening global ad spend... likely visibility taken step down, Jefferies analyst John Campbell wrote research note.RBC Capital Markets analyst Garry Sherriff said cooling investor sentiment likely continue ... given multiple material downgrades questions revenue visibility strategy.Follow connect Twitter, Facebook, Linkedin, YoutubeInternetAppen Ltdprivacy features Applemetagoogleglobal tech giantsfacebookartificial intelligenceappen sharesamazon Read App Read App Recommended ColombiaSponsored Stories Newsletter 400000 Industry Leaders read everyday I read Terms Conditions agree receive newsletters communications email ID. Most Read This Week This Month Maharashtra beats 5 states VedantaFoxconns Rs 2.06 lakh crore investment electronics The deal, single biggest investment kind Maharashtra coveted Gujarat, Tamil Nadu, Karnataka, Telangana Himachal Pradesh signed presence Chief Minister Eknath Shinde Deputy Chief Minister Devendra Fadnavis. Nokia, Ericsson, Samsung win 5G deals Jio, Airtel; Huawei, ZTE 5G race Government receives record Rs 1.45 lakh crore worth bids day 1 spectrum sale Jio, Airtel, Adani 5G auction ends; Jio tops table Rs 88,078 crore bids Maharashtra beats 5 states VedantaFoxconns Rs 2.06 lakh crore investment electronics The deal, single biggest investment kind Maharashtra coveted Gujarat, Tamil Nadu, Karnataka, Telangana Himachal Pradesh signed presence Chief Minister Eknath Shinde Deputy Chief Minister Devendra Fadnavis. Nokia, Ericsson, Samsung win 5G deals Jio, Airtel; Huawei, ZTE 5G race BSNLs panIndia 4G rollout 1824 months: TCS Adani group participate 5G spectrum auction, foray telecom sector Most Read Internet This Week This Month Excitel aims rope 2.5million subscribers 100 cities Indian IT wins half deals 2020 Apple Pay finally work Chrome, Edge, Firefox iOS 16 KITE pact BSNL internet Oracle planned laying thousands save 1 billion: Report Excitel aims rope 2.5million subscribers 100 cities Amazon ramps India hiring cheaper Internet service Musks Starlink quits Indian IT wins half deals 2020 ETTelecom Interviews: Vodafone Ideas Arvind Nevatia MSME focus, pvt 5G networks opportunity 01:06:26 ETTelecom Roundtables: Indias telecom revolution 2G 5G road ahead 03:43 ETTelecom Interviews: MoC Ashwini Vaishnaw 5G ecosystem development India 08:13 ETTelecom Interviews: DoT Secretary telecom reforms, designled manufacturing 5G View More TrendsOneWebStarlinkSatcomISROISPASpaceXIndustry News Auto News Retail News Health News Energy News CIO News Real Estate News Brand Equity CFO News IT Security News BFSI News Government News Hospitality News HR News Legal News ET TravelWorld News Infra News B2B News CIOSEA News HRSEA News HRME News FeaturesJobs CareersData AnalyticsProduct LaunchesTelecomTVWebinarsInsightsTrendsStartupsInterviewsTeleTalkDataReports US Advertise We options advertise including Events, Advertorials, Banners, Mailers, Webinars etc. Please contact know details. 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] | 1 | 5,118 |
https://telecom.economictimes.indiatimes.com/news/devices/nvidia-shows-new-research-on-using-ai-to-improve-chip-designs/99047648
| 2023-03-28T00:00:00 |
en
|
Nvidia shows new research on using AI to improve chip designs, Telecom News, ET Telecom
|
Nvidia shows new research on using AI to improve chip designs, Telecom News, ET Telecom
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Nvidia shows new research on using AI to improve chip designsOn Monday, Nvidia released a paper showing that it could use a combination of artificial intelligence techniques to find better ways to place big groups of transistors. The paper aimed to improve on a 2021 paper by Alphabet Inc's Google, whose findings later became the subject of controversy.Reuters March 28, 2023, 07:43 IST
FILE PHOTO: A smartphone with a displayed NVIDIA logo is placed on a computer motherboard in this illustration taken March 6, 2023. REUTERS/Dado Ruvic/IllustrationBy Stephen NellisNvidia Corp, the world's leading designer of computer chips used in creating artificial intelligence, on Monday showed new research that explains how AI can be used to improve chip design.The process of designing a chip involves deciding where to place tens of billions of tiny on-off switches called transistors on a piece of silicon to create working chips. The exact placement of those transistors has a big impact on the chip's cost, speed and power consumption.Chip design engineers use complex design software from firms like Synopsys Inc and Cadence Design Systems Inc to help them optimize the placement of those transistors.On Monday, Nvidia released a paper showing that it could use a combination of artificial intelligence techniques to find better ways to place big groups of transistors. The paper aimed to improve on a 2021 paper by Alphabet Inc's Google, whose findings later became the subject of controversy.The Nvidia research took an existing effort developed by University of Texas researchers using what is called reinforcement learning and added a second layer of artificial intelligence on top of it to get even better results.Nvidia chief scientist Bill Dally said the work is important because chip manufacturing improvements are slowing with per-transistor costs in new generations of chip manufacturing technology now higher than previous generations.That goes against the famous prediction by Intel Corp co-founder Gordon Moore that chips would always get cheaper and faster."You're no longer actually getting an economy from that scaling," Dally said. "To continue to move forward and to deliver more value to customers, we can't get it from cheaper transistors. We have to get it by being more clever on the design." Follow and connect with us on Twitter, Facebook, Linkedin, YoutubeDevicesNvidiasynopsys incNvidia CorpIntelchip designsartificial intelligenceAlphabet Inc
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REUTERSDado RuvicIllustrationBy Stephen NellisNvidia Corp, worlds leading designer chips creating artificial intelligence, Monday showed new research explains AI improve chip design.The process designing chip involves deciding place tens billions tiny onoff switches called transistors piece silicon create working chips. The exact placement transistors big impact chips cost, speed power consumption.Chip design engineers use complex design software firms like Synopsys Cadence Design Systems help optimize placement transistors.On Monday, Nvidia released paper showing use combination artificial intelligence techniques better ways place big groups transistors. The paper aimed improve 2021 paper Alphabet Google, findings later subject controversy.The Nvidia research took existing effort developed University Texas researchers called reinforcement learning added second layer artificial intelligence better results.Nvidia chief scientist Bill Dally said work important chip manufacturing improvements slowing pertransistor costs new generations chip manufacturing technology higher previous generations.That goes famous prediction Intel Corp cofounder Gordon Moore chips cheaper faster.Youre longer actually getting economy scaling, Dally said. To continue forward deliver value customers, cheaper transistors. We clever design. Follow connect Twitter, Facebook, Linkedin, YoutubeDevicesNvidiasynopsys incNvidia CorpIntelchip designsartificial intelligenceAlphabet Read App Read App Recommended ColombiaSponsored Stories Newsletter Join community 2M industry professionals I read Terms Conditions agree receive newsletters communications email ID. Most Read This Week This Month iQOO launches Z7 5G smartphone India Rs 18,999 The iQOO Z7 5G smartphone sports 6.38inch FHD AMOLED display 90Hz refresh rate, 360Hz touch sampling rate. It comes 16MP selfie camera. Vodafone Idea launches selfKYC prepaid, postpaid customers DoT seeks Rs 33,111 cr BSNL AGR dues, expects PSU profitable FY 2027 HFCL partner private telcos, BSNL deploy private 5G solutions ETTelecom Interviews: Sunil Mittal BSNL, Vodafone Idea, 5G investment, tariff hike OneWeb launch Right investment phase. Monetization come side...To me, right now, create base right focused rollout 5G network. And mind theres offload happening 4G network 5G, improve 4G quality, said Mittal. Nokia changes iconic logo signal strategy shift Infosys Mohit Joshi joins Tech Mahindra MD CEO BSNL starts getting equipment TCSled consortium, aims 4G launch April: Report Most Read Devices This Week This Month iQOO launches Z7 5G smartphone India Rs 18,999 Oppo Mobiles Indias finance manager held ITC fraud Rs 19 crore Madhav Sheth elevated global strategy role Realme ChinaRussia bonhomie ominous Indias global chip making dream iQOO launches Z7 5G smartphone India Rs 18,999 Apple drive jobs India speed dial manufacturing Fastrack launches Revoltt FS1 smartwatch Bluetooth calling Rs 1,695 Foxconn reassures Karnataka Telangana investment plans ETTelecom Interviews: Jio 5G enterprises, private networks, ecosystem collaboration 04:16 ETTelecom Interviews: Vodafone Idea CTO Open RAN, new technologies telecom, local tech stack 03:10 ETTelecom Interviews: GSMA Head APAC discusses 5G roll outs India challenges, 5G FWA 26:11 5G act catalyst enterprise transformation View More TrendsOneWebStarlinkSatcomISROISPASpaceXIndustry News Auto News Retail News Health News Energy News CIO News Real Estate News Brand Equity CFO News IT Security News BFSI News Government News Hospitality News HR News Legal News ET TravelWorld News Infra News B2B News CIOSEA News HRSEA News HRME News FeaturesJobs CareersData AnalyticsProduct LaunchesTelecomTVWebinarsInsightsTrendsStartupsInterviewsTeleTalkDataReports US Advertise We options advertise including Events, Advertorials, Banners, Mailers, Webinars etc. Please contact know details. 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https://telecom.economictimes.indiatimes.com/news/facebook-parent-meta-creates-powerful-ai-supercomputer/89104801
| 2022-01-25T00:00:00 |
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Facebook: Facebook parent Meta creates powerful AI supercomputer, Telecom News, ET Telecom
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Facebook: Facebook parent Meta creates powerful AI supercomputer, Telecom News, ET Telecom
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Telecom NewsLatest Telecom NewsDevicesFacebook parent Meta creates powerful AI supercomputerThe social media giant said it hopes the machine will help lay the groundwork for its building of the metaverse, a virtual reality construct intended to supplant the internet as we know it today.AP January 25, 2022, 07:50 IST
Facebook employees take a photo with the company's new name and logo outside its headquarters in Menlo Park, Calif., Oct. 28, 2021. Facebook’s parent company Meta on Monday, Jan. 24, 2022 said it has created what it believes is among the fastest artificial intelligence supercomputers running today. The social media giant said it hopes the machine will help lay the groundwork for its building of the metaverse, a virtual reality construct intended to supplant the internet as we know it today. Facebook said it believes the computer will be the fastest in the world once it is fully built around the middle of the year. (AP Photo/Tony Avelar)MENLO PARK: Facebook's parent company Meta on Monday said it has created what it believes is among the fastest artificial intelligence supercomputers running today.The social media giant said it hopes the machine will help lay the groundwork for its building of the metaverse, a virtual reality construct intended to supplant the internet as we know it today.Facebook said it believes the computer will be the fastest in the world once it is fully built around the middle of the year. Supercomputers are extremely fast and powerful machines built to do complex calculations not possible with a regular home computer. Meta did not disclose where the computer is located or how much it is costing to build.The computer, which is already up and running but is still being built, is called AI Research SuperCluster. Meta says it will help its AI researchers build "new and better" artificial intelligence models that can learn from "trillions" of examples and work across hundreds of different languages simultaneously and analyze text, images and video together. The way Meta is defining the power of its computer is different from how conventional and more technically powerful supercomputers are measured because it relies on the performance of graphics-processing chips, which are useful for running "deep learning" algorithms that can understand what's in an image, analyze text and translate between languages, said Tuomas Sandholm, a computer science professor and co-director of the AI center at Carnegie Mellon University."We hope RSC will help us build entirely new AI systems that can, for example, power real-time voice translations to large groups of people, each speaking a different language, so they can seamlessly collaborate on a research project or play an AR game together," Meta said in a blog post.The company said its supercomputer will incorporate "real-world examples" from its own systems into training its AI. It says its previous efforts used only open-source and other publicly available data sets. "They are going to, for the first time, put their customer data on their AI research computer," Sandholm said. "That would be a really big change to give AI researchers and algorithms access to all that data."Follow and connect with us on Twitter, Facebook, Linkedin, YoutubeDevicesFacebooksupercomputerMetaverseMetaInternationalFaceboookartificial intelligenceAI supercomputerai research supercluster
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Facebooks parent company Meta Monday, Jan. 24, 2022 said created believes fastest artificial intelligence supercomputers running today. The social media giant said hopes machine help lay groundwork building metaverse, virtual reality construct intended supplant internet know today. Facebook said believes fastest world fully built middle year. AP PhotoTony AvelarMENLO PARK: Facebooks parent company Meta Monday said created believes fastest artificial intelligence supercomputers running today.The social media giant said hopes machine help lay groundwork building metaverse, virtual reality construct intended supplant internet know today.Facebook said believes fastest world fully built middle year. Supercomputers extremely fast powerful machines built complex calculations possible regular home computer. Meta disclose located costing build.The computer, running built, called AI Research SuperCluster. Meta says help AI researchers build new better artificial intelligence models learn trillions examples work hundreds different languages simultaneously analyze text, images video together. The way Meta defining power different conventional technically powerful supercomputers measured relies performance graphicsprocessing chips, useful running deep learning algorithms understand whats image, analyze text translate languages, said Tuomas Sandholm, science professor codirector AI center Carnegie Mellon University.We hope RSC help build entirely new AI systems can, example, power realtime voice translations large groups people, speaking different language, seamlessly collaborate research project play AR game together, Meta said blog post.The company said supercomputer incorporate realworld examples systems training AI. It says previous efforts opensource publicly available data sets. They going to, time, customer data AI research computer, Sandholm said. That big change AI researchers algorithms access data.Follow connect Twitter, Facebook, Linkedin, YoutubeDevicesFacebooksupercomputerMetaverseMetaInternationalFaceboookartificial intelligenceAI supercomputerai research supercluster Read App Read App Recommended ColombiaSponsored Stories Newsletter 400000 Industry Leaders read everyday I read Terms Conditions agree receive newsletters communications email ID. Most Read This Week This Month Jio No. 1 home broadband turf November, BSNL No. 2: Trai data The Mukesh Ambaniled telco added 0.19 million JioFibre customers November 2021, taking fixed broadband user base 4.3 million, overtaking BSNL 4.2 million Bharti Airtel 4.1 million emerging countrys No 1 wired broadband operator years launching service commercially, Nomura Research said research note seen ET. Delhi high court restrains HFCL manufacturing, sales multitube cable STL claims patent infringement Drop customer base tariff hike, SIM consolidation: Vodafone Ideas Ravinder Takkar Vodafone Idea Q3 net loss widens Rs 7234.1 crore; ARPU rises Rs 115 Telecom Diary: Is worst Vodafone Idea? On Tuesday, Vi decided convert deferred spectrum adjusted gross revenue AGR payments government equity. Starlink India head Sanjay Bhargava quits Vodafone Idea upgrades national backbone network Ciena prepare 5G rollout Telecom department considering use street furniture 5G network proliferation Most Read Devices This Week This Month Qualcomm partners Vodafone, Thales demonstrate iSIM technology Huawei seeks chip money China fights US pressure Apple, Samsung handsets worth 5 billion FY22 India smartphone market shipments grow 11 169 million units 2021: Counterpoint Airtel starts piloting XSafe home surveillance solution DelhiNCR; add cities Customs duty evasion: India issues notices Xiaomi recover Rs653 crore CES gadget stages wary return amid COVID19 Sops knock 6570 chips fab setup costs companies Session Enabling Digital Transformation 5G 01:01:10 ETTelecom Roundtables: Airtel, Vodafone Idea, COAI, IAFI discuss policy roadmap sectoral health 23:23 ETTelecom Interviews: BTs Harmeen Mehta talks telcos digital transformation, India market 35:14 ETTelecom Interviews: Airtel Chief Product Officer Adarsh Nair telco techco transition View More TrendsTRAIVodafone NewsReliance Jio NewsIndustry News Auto News Retail News Health News Energy News CIO News Real Estate News Brand Equity CFO News IT Security News BFSI News Government News Hospitality News HR News Legal News ET TravelWorld News Infra News B2B News CIOSEA News HRSEA News HRME News FeaturesJobs CareersData AnalyticsProduct LaunchesTelecomTVWebinarsInsightsTrendsStartupsInterviewsTeleTalkDataReports US Advertise We options advertise including Events, Advertorials, Banners, Mailers, Webinars etc. Please contact know details. 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https://telecom.economictimes.indiatimes.com/news/internet/moderate-democratic-coalition-creates-ai-working-group/102777225
| 2023-08-16T00:00:00 |
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Moderate Democratic coalition creates AI working group
The New Democrat Coalition announced the formation of the group on Tuesday, saying it would work with the Biden administration, companies and other lawmakers to develop "sensible, bipartisan policies to address this emerging technology."
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Updated On Aug 16, 2023 at 07:16 PM IST
Moderate Democrats in the U.S. House of Representatives have formed a working group on artificial intelligence aimed at tackling the issue of what restrictions, if any, should be put on the technology. The New Democrat Coalition announced the formation of the group on Tuesday, saying it would work with the Biden administration, companies and other lawmakers to develop "sensible, bipartisan policies to address this emerging technology." While artificial intelligence has been used for several years, it surged in popularity earlier this year with the rise of ChatGPT because of generative AI's ability to use data to create human-seeming prose. Lawmakers are assessing ways to mitigate the potential harms - particularly to national security - while taking advantage of its strengths.
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The group is to be headed by Representative Derek Kilmer, a Democrat from Washington state. Vice chairs are Representatives Don Beyer of Virginia, Jeff Jackson from North Carolina, Sara Jacobs of California, Susie Lee of Nevada and Haley Stevens from Michigan. In July, the White House announced that AI companies including OpenAI, Alphabet and Meta Platforms had made voluntary commitments to implement measures such as watermarking AI-generated content to help make the technology safer. In the Senate, Majority Leader Chuck Schumer said last month that lawmakers would hear from developers, executives and experts later this year on possible legislative safeguards.
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Published On Aug 16, 2023 at 07:12 PM IST
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Moderate Democratic coalition creates AI working group, Telecom News, ET Telecom X We use cookies ensure best experience We use cookies tracking technologies improve browsing experience site, personalize content targeted ads, analyze site traffic, understand audience coming from. You read privacy policy, We use cookies ensure best experience website. By choosing I accept, continuing website, consent use Terms Conditions. Analytics Performance Targeted Advertising Get App News IndustryDevicesSatcomInterviewsETTSpecialPolicyMVASAppsInternetReviewsTelecom Equipment Enterprise ServicesPrepaidPostpaid5G CornerView News Exclusives Leaders Speak Events Awards Webinars More Newsletters MasterClasses Us Advertise With Us Satcom Industry Policy Telecom Equipment Enterprise Services Devices Mobile Apps TeleTalk More Jobs CareersTeleStatsSmartphone More Internet 1 min read Moderate Democratic coalition creates AI working group The New Democrat Coalition announced formation group Tuesday, saying work Biden administration, companies lawmakers develop sensible, bipartisan policies address emerging technology. Telegram Facebook Copy Link Reuters Updated On Aug 16, 2023 07:16 PM IST Moderate Democrats U.S. House Representatives formed working group artificial intelligence aimed tackling issue restrictions, any, technology. The New Democrat Coalition announced formation group Tuesday, saying work Biden administration, companies lawmakers develop sensible, bipartisan policies address emerging technology. While artificial intelligence years, surged popularity earlier year rise ChatGPT generative AIs ability use data create humanseeming prose. Lawmakers assessing ways mitigate potential harms particularly national security taking advantage strengths. Advt The group headed Representative Derek Kilmer, Democrat Washington state. Vice chairs Representatives Don Beyer Virginia, Jeff Jackson North Carolina, Sara Jacobs California, Susie Lee Nevada Haley Stevens Michigan. In July, White House announced AI companies including OpenAI, Alphabet Meta Platforms voluntary commitments implement measures watermarking AIgenerated content help technology safer. In Senate, Majority Leader Chuck Schumer said month lawmakers hear developers, executives experts later year possible legislative safeguards. Reuters Published On Aug 16, 2023 07:12 PM IST Telegram Facebook Copy Link Be comment. Comment Now COMMENTS Comment Now Read Comment 1 All Comments Post Post Find Comment Offensive? Choose reason click submit button. This alert moderators actions REASONS FOR REPORTING Foul Language Defamatory iting hatred certain community Out Context Spam Others Report Join community 2M industry professionals newsletter latest insights analysis. Download ETTelecom App Get Realtime updates Save favourite articles Scan download App ai working group generative AI CHatgpt moderate democrats New Democrat Coalition ai internet HomeNewsInternetModerate Democratic coalition creates AI working group 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 Newsletter By continuing agree Terms Conditions Advertise With Us We options advertise including Events, Advertorials, Banners, Mailers, etc. Get Touch Download ETTelecom App Save favourite articles seamless reading experience Get updates preferred social platform Follow latest news, insider access events more. Us Newsletters GuestPost Guidelines RSS Feed Sitemap RSS Feed Sitemap GuestPost Guidelines The Economic Times Business Verticals Auto Retail Health Energy CIO Real Estate Marketing Advertising CFO IT Security BFSI Government Hospitality HR Legal ET TravelWorld Infra B2B CIOSEA HRSEA HRME Education Trending OneWeb Starlink Satcom ISRO ISPA SpaceX . All Right Reserved.
| 2,023 |
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https://telecom.economictimes.indiatimes.com/news/internet/scientists-warn-of-ai-dangers-but-dont-agree-on-solutions/99973180
| 2023-05-04T00:00:00 |
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Artificial Intelligence: Scientists warn of AI dangers but don't agree on solutions, ET Telecom
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Artificial Intelligence: Scientists warn of AI dangers but don't agree on solutions, ET Telecom
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Internet 5 min read
Scientists warn of AI dangers but don't agree on solutions
Humanity's survival is threatened when "smart things can outsmart us," so-called Godfather of AI Geoffrey Hinton said at a conference Wednesday at the Massachusetts Institute of Technology.
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File - Computer scientist Geoffrey Hinton poses at Google's Mountain View, Calif, headquarters on Wednesday, March 25, 2015. Computer scientists who helped build the foundations of today's artificial intelligence technology are warning of its dangers, but that doesn't mean they agree on the risks or how to prevent disastrous outcomes. (AP Photo/Noah Berger, File)By Matt O'BrienCAMBRIDGE: Computer scientists who helped build the foundations of today's artificial intelligence technology are warning of its dangers, but that doesn't mean they agree on what those dangers are or how to prevent them.
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Humanity's survival is threatened when "smart things can outsmart us," so-called Godfather of AI Geoffrey Hinton said at a conference Wednesday at the Massachusetts Institute of Technology.After retiring from Google so he could speak more freely, the 75-year-old Hinton said he's recently changed his views about the reasoning capabilities of the computer systems he's spent a lifetime researching."These things will have learned from us, by reading all the novels that ever were and everything Machiavelli ever wrote, how to manipulate people," Hinton said, addressing the crowd attending MIT Technology Review's EmTech Digital conference from his home via video. "Even if they can't directly pull levers, they can certainly get us to pull levers.""I wish I had a nice simple solution for this, but I don't," he added. "I'm not sure there is a solution."Fellow AI pioneer Yoshua Bengio, co-winner with Hinton of the top computer science prize, told The Associated Press on Wednesday that he's "pretty much aligned" with Hinton's concerns brought on by chatbots such as ChatGPT and related technology, but worries that to simply say "We're doomed" is not going to help."The main difference, I would say, is he's kind of a pessimistic person, and I'm more on the optimistic side," said Bengio, a professor at the University of Montreal. "I do think that the dangers - the short-term ones, the long-term ones - are very serious and need to be taken seriously by not just a few researchers but governments and the population."
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There are plenty of signs that governments are listening. The White House has called in the CEOs of Google, Microsoft and ChatGPT-maker OpenAI to meet Thursday with Vice President Kamala Harris in what's being described by officials as a frank discussion on how to mitigate both the near-term and long-term risks of their technology. European lawmakers are also accelerating negotiations to pass sweeping new AI rules.But all the talk of the most dire future dangers has some worried that hype around superhuman machines - which don't yet exist - is distracting from attempts to set practical safeguards on current AI products that are largely unregulated.Margaret Mitchell, a former leader on Google's AI ethics team, said she's upset that Hinton didn't speak out during his decade in a position of power at Google, especially after the 2020 ouster of prominent Black scientist Timnit Gebru, who had studied the harms of large language models before they were widely commercialized into products such as ChatGPT and Google's Bard."It's a privilege that he gets to jump from the realities of the propagation of discrimination now, the propagation of hate language, the toxicity and nonconsensual pornography of women, all of these issues that are actively harming people who are marginalized in tech," said Mitchell, who was also forced out of Google in the aftermath of Gebru's departure. "He's skipping over all of those things to worry about something farther off."Bengio, Hinton and a third researcher, Yann LeCun, who works at Facebook parent Meta, were all awarded the Turing Prize in 2019 for their breakthroughs in the field of artificial neural networks, instrumental to the development of today's AI applications such as ChatGPT.Bengio, the only one of the three who didn't take a job with a tech giant, has voiced concerns for years about near-term AI risks, including job market destabilization, automated weaponry and the dangers of biased data sets.But those concerns have grown recently, leading Bengio to join other computer scientists and tech business leaders like Elon Musk and Apple co-founder Steve Wozniak in calling for a six-month pause on developing AI systems more powerful than OpenAI's latest model, GPT-4.Bengio said Wednesday he believes the latest AI language models already pass the "Turing test" named after British codebreaker and AI pioneer Alan Turing's method introduced in 1950 to measure when AI becomes indistinguishable from a human - at least on the surface."That's a milestone that can have drastic consequences if we're not careful," Bengio said. "My main concern is how they can be exploited for nefarious purposes to destabilize democracies, for cyber attacks, disinformation. You can have a conversation with these systems and think that you're interacting with a human. They're difficult to spot."Where researchers are less likely to agree is on how current AI language systems - which have many limitations, including a tendency to fabricate information - will actually get smarter than humans.Aidan Gomez, co-founder and CEO Cohere, is photographed at an office in Palo Alto, Calif., Wednesday, April 12, 2023. Gomez, whose research behind the so-called “transformer” technique put the “T” at the end of ChatGPT, says some fearmongering is “detached from the reality” of AI’s true capabilities, but he’s among a growing number of experts pushing for safeguards. (AP Photo/Jeff Chiu)Aidan Gomez was one of the co-authors of the pioneering 2017 paper that introduced a so-called transformer technique - the "T" at the end of ChatGPT - for improving the performance of machine-learning systems, especially in how they learn from passages of text. Then just a 20-year-old intern at Google, Gomez remembers laying on a couch at the company's California headquarters when his team sent out the paper around 3 a.m. when it was due."Aidan, this is going to be so huge," he remembers a colleague telling him, of the work that's since helped lead to new systems that can generate humanlike prose and imagery.Six years later and now CEO of his own AI company called Cohere, which Hinton has invested in, Gomez is enthused about the potential applications of these systems but bothered by fearmongering he says is "detached from the reality" of their true capabilities and "relies on extraordinary leaps of imagination and reasoning.""The notion that these models are somehow gonna get access to our nuclear weapons and launch some sort of extinction-level event is not a productive discourse to have," Gomez said. "It's harmful to those real pragmatic policy efforts that are trying to do something good."
AP
Published On May 4, 2023 at 07:44 AM IST
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Artificial Intelligence: Scientists warn of AI dangers but don't agree on solutions, ET Telecom
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Artificial Intelligence: Scientists warn AI dangers dont agree solutions, ET Telecom X We use cookies ensure best experience We use cookies tracking technologies improve browsing experience site, personalize content targeted ads, analyze site traffic, understand audience coming from. You read privacy policy, We use cookies ensure best experience website. By choosing I accept, continuing website, consent use Terms Conditions. Analytics Performance Targeted Advertising Get App News IndustryPolicyTelecom Equipment DevicesMVASAppsEnterprise ServicesSatcomInternetPrepaidPostpaidInterviewsReviews5G CornerETTSpecialShow All News Exclusives Leaders Speak Events Awards Webinars More Newsletters MasterClasses Us Advertise With Us Satcom Industry Policy Telecom Equipment Enterprise Services Devices Mobile Apps TeleTalk More Jobs CareersTeleStatsSmartphone More Internet 5 min read Scientists warn AI dangers dont agree solutions Humanitys survival threatened smart things outsmart us, socalled Godfather AI Geoffrey Hinton said conference Wednesday Massachusetts Institute Technology. Telegram Facebook Copy Link AP Updated On May 4, 2023 07:47 AM IST File Computer scientist Geoffrey Hinton poses Googles Mountain View, Calif, headquarters Wednesday, March 25, 2015. Computer scientists helped build foundations todays artificial intelligence technology warning dangers, doesnt mean agree risks prevent disastrous outcomes. AP PhotoNoah Berger, FileBy Matt OBrienCAMBRIDGE: Computer scientists helped build foundations todays artificial intelligence technology warning dangers, doesnt mean agree dangers prevent them. Advt Humanitys survival threatened smart things outsmart us, socalled Godfather AI Geoffrey Hinton said conference Wednesday Massachusetts Institute Technology.After retiring Google speak freely, 75yearold Hinton said hes recently changed views reasoning capabilities systems hes spent lifetime researching.These things learned us, reading novels Machiavelli wrote, manipulate people, Hinton said, addressing crowd attending MIT Technology Reviews EmTech Digital conference home video. Even directly pull levers, certainly pull levers.I wish I nice simple solution this, I dont, added. Im sure solution.Fellow AI pioneer Yoshua Bengio, cowinner Hinton science prize, told The Associated Press Wednesday hes pretty aligned Hintons concerns brought chatbots ChatGPT related technology, worries simply Were doomed going help.The main difference, I say, hes kind pessimistic person, Im optimistic side, said Bengio, professor University Montreal. I think dangers shortterm ones, longterm ones need taken seriously researchers governments population. Advt There plenty signs governments listening. The White House called CEOs Google, Microsoft ChatGPTmaker OpenAI meet Thursday Vice President Kamala Harris whats described officials frank discussion mitigate nearterm longterm risks technology. European lawmakers accelerating negotiations pass sweeping new AI rules.But talk dire future dangers worried hype superhuman machines dont exist distracting attempts set practical safeguards current AI products largely unregulated.Margaret Mitchell, leader Googles AI ethics team, said shes upset Hinton didnt speak decade position power Google, especially 2020 ouster prominent Black scientist Timnit Gebru, studied harms large language models widely commercialized products ChatGPT Googles Bard.Its privilege gets jump realities propagation discrimination now, propagation hate language, toxicity nonconsensual pornography women, issues actively harming people marginalized tech, said Mitchell, forced Google aftermath Gebrus departure. Hes skipping things worry farther off.Bengio, Hinton researcher, Yann LeCun, works Facebook parent Meta, awarded Turing Prize 2019 breakthroughs field artificial neural networks, instrumental development todays AI applications ChatGPT.Bengio, didnt job tech giant, voiced concerns years nearterm AI risks, including job market destabilization, automated weaponry dangers biased data sets.But concerns grown recently, leading Bengio join scientists tech business leaders like Elon Musk Apple cofounder Steve Wozniak calling sixmonth pause developing AI systems powerful OpenAIs latest model, GPT4.Bengio said Wednesday believes latest AI language models pass Turing test named British codebreaker AI pioneer Alan Turings method introduced 1950 measure AI indistinguishable human surface.Thats milestone drastic consequences careful, Bengio said. My main concern exploited nefarious purposes destabilize democracies, cyber attacks, disinformation. You conversation systems think youre interacting human. Theyre difficult spot.Where researchers likely agree current AI language systems limitations, including tendency fabricate information actually smarter humans.Aidan Gomez, cofounder CEO Cohere, photographed office Palo Alto, Calif., Wednesday, April 12, 2023. Gomez, research socalled transformer technique T end ChatGPT, says fearmongering detached reality AIs true capabilities, hes growing number experts pushing safeguards. AP PhotoJeff ChiuAidan Gomez coauthors pioneering 2017 paper introduced socalled transformer technique T end ChatGPT improving performance machinelearning systems, especially learn passages text. Then 20yearold intern Google, Gomez remembers laying couch companys California headquarters team sent paper 3 a.m. due.Aidan, going huge, remembers colleague telling him, work thats helped lead new systems generate humanlike prose imagery.Six years later CEO AI company called Cohere, Hinton invested in, Gomez enthused potential applications systems bothered fearmongering says detached reality true capabilities relies extraordinary leaps imagination reasoning.The notion models gonna access nuclear weapons launch sort extinctionlevel event productive discourse have, Gomez said. Its harmful real pragmatic policy efforts trying good. AP Published On May 4, 2023 07:44 AM IST Join community 2M industry professionals newsletter latest insights analysis. Enter Email Download ETTelecom App Get Realtime updates Save favourite articles Scan download App Telegram Facebook Copy Link Artificial intelligence INternet Google Facebook Meta dangers artificial intelligence technology news artificial intelligence technology HomeNewsInternetScientists warn AI dangers dont agree solutions 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 Newsletter By continuing agree Terms Conditions Advertise With Us We options advertise including Events, Advertorials, Banners, Mailers, etc. Get Touch Download ETTelecom App Save favourite articles seamless reading experience Get updates preferred social platform Follow latest news, insider access events more. 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| 2,023 |
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] | 1 | 5,122 |
https://thealgorithmicbridge.substack.com/p/act-1-how-adept-is-building-the-future
| 2022-09-21T00:00:00 |
en
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ACT-1: How Adept Is Building the Future of AI with Action Transformers
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ACT-1: How Adept Is Building the Future of AI with Action Transformers
The Algorithmic BridgeSubscribeSign inShare this postACT-1: How Adept Is Building the Future of AI with Action Transformersthealgorithmicbridge.substack.comCopy linkTwitterFacebookEmailACT-1: How Adept Is Building the Future of AI with Action TransformersThe future of AI is digital and physical agents that can act in the world guided by human commands.Alberto Romero6 hr ago21Share this postACT-1: How Adept Is Building the Future of AI with Action Transformersthealgorithmicbridge.substack.comCopy linkTwitterFacebookEmailCredit: Author via MidjourneyOne of AI’s most ambitious goals is to build systems that can do everything a human can. GPT-3 can write and Stable Diffusion can paint, but neither can interact with the world directly. AI companies have been trying to create intelligent agents this way for 10 years. This seems to be changing now.One of my latest articles covers Google’s PaLM-SayCan (PSC), a robot powered by PaLM, the best large language model to date. PSC’s language module can interpret human requests expressed in natural language and transform them into high-level tasks that can be further broken down into elemental actions. The robotic module can then perform those actions in the real world to fulfill the user’s request. Although it has important limitations (that I reviewed), Google’s PSC is one of the first examples of the integration of last-generation AI with robotics — the digital connected to the physical.But physical robots aren’t the only AI agents that can affect the world directly. Another promising line of research is that of digital agents that can interact with software through open-ended action. I’m not talking here about GPT-3 or DALL·E which only have an extremely constrained action space (they lack any type of motor system, physical or digital) and thus can only affect the world indirectly (after a human reads or sees their generations). I’m referring, for instance, to OpenAI’s Video PreTraining model (VPT. I covered it here), which learned to play Minecraft by watching humans play — mimicking, to some extent, their behavior.So far, there aren’t many systems like VPT because it’s a very new technology. It’s hard to train and build these systems: Whereas GPT-3 can only modify the world’s information, VPT can also modify the world’s state—even if at the digital level. VPT enjoys a higher degree of agency and represents a step closer to general intelligence.But today I won’t be talking about Google’s PSC or OpenAI’s VPT.SubscribeAdept builds the first Action Transformer (ACT-1)Today’s article features a new AI startup, Adept, which was launched earlier this year to build “useful general intelligence.” Adept has brought together great talent from Google, DeepMind, and OpenAI — including the guys who invented the transformer in 2017. Their main goal is, like most other AI companies, to build intelligent agents, but their vision is rather unique.Instead of building an AGI that could do everything we can — which would lead to eventual mass replacements of the human workforce — they want to build an intelligent interface that can act as a natural translator between humans and the digital world — AI and humans working in collaboration instead of competition. As researcher David Luan says (now working at Adept, previously at Google and OpenAI), “we want to build a natural language interface… — an NL frontend to your computer.”Adept has now announced its first AI model: The Action Transformer (ACT-1). They haven’t disclosed any technical details except that it’s “a large-scale transformer trained to use digital tools.” (They will publish a paper shortly. I’ll update this article to include new info.) Adept’s ACT-1 is a digital agent intended to communicate with other programs and apps and serve as an interface between us and the digital world, a natural human-computer interface (HCI).Adept has released a few short demo videos in which you can see ACT-1 in action. It can take high-level requests expressed in natural language and perform them— pretty much like Google’s PSC. The tasks can take up several steps across software tools and websites, varying in complexity. ACT-1 can do tasks that involve various tools at different points of the process and can take in user feedback to improve.Most importantly, ACT-1 can perform actions that we wouldn’t know how to do. This is where ACT-1’s usefulness becomes apparent. ACT-1 can act as a multitasking meta-learner capable of handling all kinds of software apps. To make it work we’d only have to know how to communicate with ACT-1 and the outcome we want. If ACT-1 worked perfectly, we wouldn’t have to learn to use Excel, Photoshop, or Salesforce. We’d simply delegate the work to ACT-1 and focus on more cognitively challenging problems.If you re-read the last paragraph you can glimpse the two key aspects of ACT-1 (and digital agents in general) to which I’ll devote the rest of the article. First, we have a very big “if” in “if ACT-1 worked perfectly.” If it didn’t, how could we know when to trust it when we’re faced with a task for which we lack the ability or knowledge (e.g., you have to organize some data but don’t know how to use Excel)? Second, using ACT-1 correctly requires that we know how to communicate with it — which reinforces just how important prompting will be in the future (if it wasn’t already clear from GPT-3 or Stable Diffusion).Let’s go with the first point.Big promises at the other side of daunting challengesOne of the main limitations of transformer-based models like GPT-3 is that they’re too unreliable to be used in high-stake settings (e.g., mental health therapy). The reason is these models (GPT-3 but also VPT or ACT-1) are trained on internet data and optimized to learn the next token/action given a history of previous ones. This means they lack common sense, the ability to express intent, or a deep understanding of how the world works. These AI systems are inherently limited in what they can do and how well they work. Some limitations could be a matter of scale (more data and more parameters would solve them), but others seem to be intrinsic to how they’re designed and developed.ACT-1, although intended for a different purpose than GPT-3 — and despite its larger action space—, falls under the same category of models and is therefore limited for the same reasons. Its ability to interpret human requests doesn’t include the ability to understand intention. In one of the demo examples, the user asks ACT-1 to find a house in Houston for less than 600K. ACT-1 goes and finds a house that meets the criteria, but it doesn’t know — unlike any human who would instantly infer it — that the user wants the house for something else. There’s some intention behind the request and some real-world context needed to make the right decisions. ACT-1 can’t access that information.Now, let’s go for that big “if” I mentioned above. In the house-search case, it’s expected that the user knows how to do it without ACT-1. But what if the user makes a request they wouldn’t know how to complete otherwise? One reasonable possibility is that the user would blindly trust the AI system to be doing the right action (we, foolishly, do this all the time). That’s the perfect recipe to develop an unhealthy dependence on AI we can’t trust.You could argue that we’re already dependent on many, many layers of abstraction that, if broken apart, would leave us — and everyone else—completely defenseless. That’s true, but we tend to build those layers with sufficient trustworthiness (e.g., planes seem to work just right although you most likely don’t have a clue how they work or whether they’re reliable. You trust that society has an incentive to build them so they don’t crash). In contrast, deep learning-based systems — even state-of-the-art ones — aren’t built with this kind of reliability.The other possibility is if the user, aware of how AI works and knowledgeable of its risks, decided to not trust the system blindly. But, even in this case, they wouldn’t have the means to assess whether ACT-1 did the right thing or not. The same happens when we ask GPT-3 something we don’t know the answer to. In some cases, we could simply check it by ourselves (which ruins the very utility of the system) but in other cases, we couldn’t.If the user’s distrust is strong enough, it could lead them to not use the system. But then another question arises: What if society starts to heavily rely on these types of natural language digital interfaces (like it did in social media or smartphones)? Big trouble.Until we can build AI we can trust (as professor Gary Marcus would say), the promises of systems like ACT-1 are just that, promises. If it can’t work reliably, ACT-1 is just a very expensive tool that can only do tasks we can also do — and oftentimes we’d have to go and redo what it did wrong.ACT-1’s ultimate purpose is ambitious but there are important challenges ahead before companies like Adept (or OpenAI or DeepMind) can get there.SubscribePrompting is the future of human-computer interactionNow, to the second point: the importance of prompting (I’ve previously written about this in “Software 3.0 — How Prompting Will Change the Rules of the Game”).You’re likely quite familiar already with the concept of prompting (state-of-the-art generative models like GPT-3, LaMDA, DALL·E, Stable Diffusion, etc. all work with prompts). In case you aren’t, prompting is simply a way to communicate with AI systems (and, more generally, with computers) using human natural language (English, for instance), to make them do some specific action or task.Prompting is how we make generative AI models do what we want. If you want GPT-3 to write an essay you can say: “Write a 5-paragraph essay on the risks of AI.” That’s a prompt. If you want DALL·E to create a beautiful image you can say: “A cat and a dog playing with a ball on a summer day, in a vibrant and colorful style, HD.” That’s another prompt. Google’s PSC and Adept’s ACT-1 work the same way.Prompting contrasts with programming languages in that it’s highly intuitive for us. Programming languages like Python or C are the most common HCIs today. Computers are built to understand these languages natively but we have a harder time learning them (they can require years of practice to master). Because prompting is nothing else than natural language, we can learn it right away.Some have drawn analogies between prompting and no-code tools, but there’s an important difference. Although no-code software removes the need to learn to code, it still requires users to learn each specific tool separately — no-code tools aren’t meta-tools. To make ACT-1—a meta-tool—do something you only need one skill; prompting. It’s a form of no-code, true, but it’s also a transversal, natural skill — the ultimate dream of non-tech-savvy people.To put prompting in historical context, we can see it as the last step of a long history of HCIs (punch cards, machine code, assembly, low-level programming languages, and high-level programming languages). We’ve been climbing up the stairs from talking in machine language to talking in human language. We’ve built increasingly abstract layers on top of the previous ones with the goal to hide the complexity behind human-computer communication to make it easier for us.Prompting is the latest, simplest, and most intuitive way to make a computer do something. It’s the most powerful communicative HCI because it allows us to feel comfortable in our territory. It reduces the barriers to digital users to the very minimum. For these reasons, I think prompting HCIs will be as ubiquitous in a few years as smartphones are today. A tool we’ll use daily, for anything that has to do with the digital world.Prompting is intuitive, but a skill neverthelessBut even if prompting is the most natural way to communicate with computers yet, it’s not an innate ability. It’s a skill that requires practice to master (even if the amount it requires isn’t comparable to learning to program). You can think of it as a new mode of discourse — equivalent to how we modify our tone, style, and vocabulary when talking to a kid, or how politicians use rhetoric when talking to us. Prompting is natural language communication directed toward a particular target, in a particular form. Is in that sense that it takes time to master.Tech blogger Gwern suggests framing prompting as a new programming paradigm. This definition can alienate non-coding people but it helps them understand that it’s not innate. It’s a skill that, although highly intuitive, requires practice, too (e.g. Making GPT-3 output what you want may take several attempts before you get something decent).As Gwern explains, if we imagine prompting as a programming language, each prompt can be understood as a program. When you input a request in English to GPT-3, you are “programming” it to do a task that other versions of it don’t know how to do. You’re creating a slightly different version of it. Thus, prompting isn’t just a way to communicate our wants and needs to computers. It’s also a way to teach them to do new tasks with natural language.Gwern emphasizes that prompting is a skill using GPT-3 as an example. He says one of the main criticisms GPT-3 received early on was its inability to correctly perform some basic language tasks. He managed to prove the critics wrong by finding better prompts. He proved not all prompts are equally good or equally valid to achieve some result—in the same way that talking to a fellow human can be seen as a skill and can be performed better or worse (if we extend this argument to the infinite, we find that everything is a skill).Even if AI systems like GPT-3 or ACT-1 prove to be very useful, people will still need to learn to create good prompts (similarly to what we now do with GPT-3 or Stable Diffusion, which are tools not everyone has mastered to the same degree).Anyway, although prompting isn’t the panacea, it’s definitely a great leap forward in human-computer interaction — and will democratize the ability to leverage computers, programs, apps, and other tools for people that otherwise wouldn’t be able to.Ambiguity and context: Prompting’s Achilles’ HeelHowever, despite the great advantages and upsides that prompting entails compared to previous HCIs, it’s not perfect. It has one important shortcoming: The inherent ambiguity of human language combined with the lack of context.If you think about programming languages (and even no-code tools) there’s no room for interpretation. The syntax is rigid and clear. If you type a sentence in Python, it can only mean one thing and the computer doesn’t need to “reason about” or “understand” its meaning. It can immediately act according to the request. Because prompts live in the domain of natural languages, they lose the rigidity and non-ambiguity of traditional code. This is a critical problem if we want HCIs that work with prompts.We, humans, understand each other (although not necessarily always) because we have access to both a pool of shared knowledge that we assume is common and to the contextual information that surrounds any given interaction. That’s the pragmatic side of language, which can’t be integrated into GPT-3 or ACT-1’s requests.On the one hand, these systems lack common sense and access to our shared knowledge about the world. On the other hand, they lack the specific context of any given interaction, because that context is often intransmissible through explicit means (that is, written or spoken language). This implies that when there’s ambiguity, ACT-1 will have to either take a guess or stop right there and not finish the task.I’ve previously written about this key limitation of large language models (now also present in these digital agents, and even in physical robots like PSC or the upcoming Tesla bot) and I don’t see how we could overcome it.The only solution I see is to design and develop these AI systems like we teach and educate children. They’d need to grow up in the world and interact with it to interiorize all the knowledge they’re missing. Another option is to limit their scope to any task that wouldn’t require context, but that’s probably too restrictive for them to be useful. We’ll have to wait to see if I’m wrong here and there’s another way.ConclusionsAdept has begun the ambitious quest to build AI agents that can act in the world. Like OpenAI, DeepMind, or Google, it has daunting challenges ahead to develop AI that’s not only very capable, but reliable.Adept’s vision and goals reinforce the importance of prompt programming as a new software paradigm to communicate with AI systems and computers in general. They also reveal the advantages over traditional HCIs, like programming languages, and the seemingly insurmountable limitations.All in all, Adept is definitely a company worth keeping an eye on. The first Action Transformer, ACT-1, opens a promising line of research that will give a lot to talk about in the coming months/years.SubscribeShareLeave a commentLike this post1Share this postACT-1: How Adept Is Building the Future of AI with Action Transformersthealgorithmicbridge.substack.comCopy linkTwitterFacebookEmail1 CommentCreate your profileYour nameYour bio Subscribe to the newsletter0 subscriptions will be displayed on your profile (edit)Skip for nowSave & Post CommentOnly paid subscribers can comment on this postSubscribeAlready a paid subscriber? Sign inCheck your emailFor your security, we need to re-authenticate you.Click the link we sent to , or click here to sign in.Dan Greller5 hr agoAlberto - another great piece that soundly balances hope and hype. As someone in the enterprise tech space, I am intrigued by this potential product. It is a very clever way to layer NLP on top of billions of dollars of existing software investments. It will be interesting for Adept to release more details on the state of ACT-1. The demos are slick but there is no further evidence of capability. I’m also curious how the model was trained. I agree that there are challenges to creating an NLP that can handle every user intent for an Excel spreadsheet. But I could see where it could still be highly effective. I’m guessing that a lot of spreadsheet use follows a Pareto distribution. A small number of capabilities like highlighting, or creating a profit column, likely make up a disproportionate volume of user activities. Just solving for those use cases could provide significant lift. Expand full commentReplyCollapseTopNewCommunityNo postsReady for more?Subscribe© 2022 Alberto RomeroPrivacy ∙ Terms ∙ Collection notice Publish on Substack Get the appSubstack is the home for great writing
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ACT-1: How Adept Is Building the Future of AI with Action Transformers
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ACT1: How Adept Is Building Future AI Action Transformers The Algorithmic BridgeSign inShare postACT1: How Adept Is Building Future AI Action Transformersthealgorithmicbridge.substack.comCopy linkTwitterFacebookEmailACT1: How Adept Is Building Future AI Action TransformersThe future AI digital physical agents act world guided human commands.Alberto Romero6 hr ago21Share postACT1: How Adept Is Building Future AI Action Transformersthealgorithmicbridge.substack.comCopy linkTwitterFacebookEmailCredit: Author MidjourneyOne AIs ambitious goals build systems human can. GPT3 write Stable Diffusion paint, interact world directly. AI companies trying create intelligent agents way 10 years. This changing now.One latest articles covers Googles PaLMSayCan PSC, robot powered PaLM, best large language model date. PSCs language module interpret human requests expressed natural language transform highlevel tasks broken elemental actions. The robotic module perform actions real world fulfill users request. Although important limitations I reviewed, Googles PSC examples integration lastgeneration AI roboticsthe digital connected physical.But physical robots arent AI agents affect world directly. Another promising line research digital agents interact software openended action. Im talking GPT3 DALLE extremely constrained action space lack type motor system, physical digital affect world indirectly human reads sees generations. Im referring, instance, OpenAIs Video PreTraining model VPT. I covered here, learned play Minecraft watching humans playmimicking, extent, behavior.So far, arent systems like VPT new technology. Its hard train build systems: Whereas GPT3 modify worlds information, VPT modify worlds stateeven digital level. VPT enjoys higher degree agency represents step closer general intelligence.But today I wont talking Googles PSC OpenAIs VPT.Adept builds Action Transformer ACT1Todays article features new AI startup, Adept, launched earlier year build useful general intelligence. Adept brought great talent Google, DeepMind, OpenAIincluding guys invented transformer 2017. Their main goal is, like AI companies, build intelligent agents, vision unique.Instead building AGI canwhich lead eventual mass replacements human workforcethey want build intelligent interface act natural translator humans digital worldAI humans working collaboration instead competition. As researcher David Luan says working Adept, previously Google OpenAI, want build natural language interfacean NL frontend computer.Adept announced AI model: The Action Transformer ACT1. They havent disclosed technical details largescale transformer trained use digital tools. They publish paper shortly. Ill update article include new info. Adepts ACT1 digital agent intended communicate programs apps serve interface digital world, natural humancomputer interface HCI.Adept released short demo videos ACT1 action. It highlevel requests expressed natural language perform thempretty like Googles PSC. The tasks steps software tools websites, varying complexity. ACT1 tasks involve tools different points process user feedback improve.Most importantly, ACT1 perform actions wouldnt know do. This ACT1s usefulness apparent. ACT1 act multitasking metalearner capable handling kinds software apps. To work wed know communicate ACT1 outcome want. If ACT1 worked perfectly, wouldnt learn use Excel, Photoshop, Salesforce. Wed simply delegate work ACT1 focus cognitively challenging problems.If reread paragraph glimpse key aspects ACT1 digital agents general Ill devote rest article. First, big ACT1 worked perfectly. If didnt, know trust faced task lack ability knowledge e.g., organize data dont know use Excel? Second, ACT1 correctly requires know communicate itwhich reinforces important prompting future wasnt clear GPT3 Stable Diffusion.Lets point.Big promises daunting challengesOne main limitations transformerbased models like GPT3 theyre unreliable highstake settings e.g., mental health therapy. The reason models GPT3 VPT ACT1 trained internet data optimized learn tokenaction given history previous ones. This means lack common sense, ability express intent, deep understanding world works. These AI systems inherently limited work. Some limitations matter scale data parameters solve them, intrinsic theyre designed developed.ACT1, intended different purpose GPT3and despite larger action space, falls category models limited reasons. Its ability interpret human requests doesnt include ability understand intention. In demo examples, user asks ACT1 house Houston 600K. ACT1 goes finds house meets criteria, doesnt knowunlike human instantly infer itthat user wants house else. Theres intention request realworld context needed right decisions. ACT1 access information.Now, lets big I mentioned above. In housesearch case, expected user knows ACT1. But user makes request wouldnt know complete otherwise? One reasonable possibility user blindly trust AI right action we, foolishly, time. Thats perfect recipe develop unhealthy dependence AI trust.You argue dependent many, layers abstraction that, broken apart, leave usand elsecompletely defenseless. Thats true, tend build layers sufficient trustworthiness e.g., planes work right likely dont clue work theyre reliable. You trust society incentive build dont crash. In contrast, deep learningbased systemseven stateoftheart onesarent built kind reliability.The possibility user, aware AI works knowledgeable risks, decided trust blindly. But, case, wouldnt means assess ACT1 right thing not. The happens ask GPT3 dont know answer to. In cases, simply check ruins utility cases, couldnt.If users distrust strong enough, lead use system. But question arises: What society starts heavily rely types natural language digital interfaces like social media smartphones? Big trouble.Until build AI trust professor Gary Marcus say, promises systems like ACT1 that, promises. If work reliably, ACT1 expensive tool tasks doand oftentimes wed redo wrong.ACT1s ultimate purpose ambitious important challenges ahead companies like Adept OpenAI DeepMind there.Prompting future humancomputer interactionNow, second point: importance prompting Ive previously written Software 3.0 How Prompting Will Change Rules Game.Youre likely familiar concept prompting stateoftheart generative models like GPT3, LaMDA, DALLE, Stable Diffusion, etc. work prompts. In case arent, prompting simply way communicate AI systems and, generally, computers human natural language English, instance, specific action task.Prompting generative AI models want. If want GPT3 write essay say: Write 5paragraph essay risks AI. Thats prompt. If want DALLE create beautiful image say: A cat dog playing ball summer day, vibrant colorful style, HD. Thats prompt. Googles PSC Adepts ACT1 work way.Prompting contrasts programming languages highly intuitive us. Programming languages like Python C common HCIs today. Computers built understand languages natively harder time learning require years practice master. Because prompting natural language, learn right away.Some drawn analogies prompting nocode tools, theres important difference. Although nocode software removes need learn code, requires users learn specific tool separatelynocode tools arent metatools. To ACT1a metatooldo need skill; prompting. Its form nocode, true, transversal, natural skillthe ultimate dream nontechsavvy people.To prompting historical context, step long history HCIs punch cards, machine code, assembly, lowlevel programming languages, highlevel programming languages. Weve climbing stairs talking machine language talking human language. Weve built increasingly abstract layers previous ones goal hide complexity humancomputer communication easier us.Prompting latest, simplest, intuitive way something. Its powerful communicative HCI allows feel comfortable territory. It reduces barriers digital users minimum. For reasons, I think prompting HCIs ubiquitous years smartphones today. A tool use daily, digital world.Prompting intuitive, skill neverthelessBut prompting natural way communicate computers yet, innate ability. Its skill requires practice master requires isnt comparable learning program. You think new mode discourseequivalent modify tone, style, vocabulary talking kid, politicians use rhetoric talking us. Prompting natural language communication directed particular target, particular form. Is sense takes time master.Tech blogger Gwern suggests framing prompting new programming paradigm. This definition alienate noncoding people helps understand innate. Its skill that, highly intuitive, requires practice, e.g. Making GPT3 output want attempts decent.As Gwern explains, imagine prompting programming language, prompt understood program. When input request English GPT3, programming task versions dont know do. Youre creating slightly different version it. Thus, prompting isnt way communicate wants needs computers. Its way teach new tasks natural language.Gwern emphasizes prompting skill GPT3 example. He says main criticisms GPT3 received early inability correctly perform basic language tasks. He managed prove critics wrong finding better prompts. He proved prompts equally good equally valid achieve resultin way talking fellow human seen skill performed better worse extend argument infinite, skill.Even AI systems like GPT3 ACT1 prove useful, people need learn create good prompts similarly GPT3 Stable Diffusion, tools mastered degree.Anyway, prompting isnt panacea, definitely great leap forward humancomputer interactionand democratize ability leverage computers, programs, apps, tools people wouldnt able to.Ambiguity context: Promptings Achilles HeelHowever, despite great advantages upsides prompting entails compared previous HCIs, perfect. It important shortcoming: The inherent ambiguity human language combined lack context.If think programming languages nocode tools theres room interpretation. The syntax rigid clear. If type sentence Python, mean thing doesnt need reason understand meaning. It immediately act according request. Because prompts live domain natural languages, lose rigidity nonambiguity traditional code. This critical problem want HCIs work prompts.We, humans, understand necessarily access pool shared knowledge assume common contextual information surrounds given interaction. Thats pragmatic language, integrated GPT3 ACT1s requests.On hand, systems lack common sense access shared knowledge world. On hand, lack specific context given interaction, context intransmissible explicit means is, written spoken language. This implies theres ambiguity, ACT1 guess stop right finish task.Ive previously written key limitation large language models present digital agents, physical robots like PSC upcoming Tesla bot I dont overcome it.The solution I design develop AI systems like teach educate children. Theyd need grow world interact interiorize knowledge theyre missing. Another option limit scope task wouldnt require context, thats probably restrictive useful. Well wait Im wrong theres way.ConclusionsAdept begun ambitious quest build AI agents act world. Like OpenAI, DeepMind, Google, daunting challenges ahead develop AI thats capable, reliable.Adepts vision goals reinforce importance prompt programming new software paradigm communicate AI systems computers general. They reveal advantages traditional HCIs, like programming languages, seemingly insurmountable limitations.All all, Adept definitely company worth keeping eye on. The Action Transformer, ACT1, opens promising line research lot talk coming monthsyears.ShareLeave commentLike post1Share postACT1: How Adept Is Building Future AI Action Transformersthealgorithmicbridge.substack.comCopy linkTwitterFacebookEmail1 CommentCreate profileYour nameYour bio newsletter0 subscriptions displayed profile editSkip nowSave Post CommentOnly paid subscribers comment postAlready paid subscriber? Sign inCheck emailFor security, need reauthenticate you.Click link sent , click sign in.Dan Greller5 hr agoAlberto great piece soundly balances hope hype. As enterprise tech space, I intrigued potential product. It clever way layer NLP billions dollars existing software investments. It interesting Adept release details state ACT1. The demos slick evidence capability. Im curious model trained. I agree challenges creating NLP handle user intent Excel spreadsheet. But I highly effective. Im guessing lot spreadsheet use follows Pareto distribution. A small number capabilities like highlighting, creating profit column, likely disproportionate volume user activities. Just solving use cases provide significant lift. Expand commentReplyCollapseTopNewCommunityNo postsReady more? 2022 Alberto RomeroPrivacy Terms Collection notice Publish Substack Get appSubstackis home great writing This site requires JavaScript run correctly. Please turn JavaScript unblock scripts
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] | 1 | 5,123 |
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US sanction forces China’s AI firm SenseTime to delay IPO
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US sanctioned the firm for its alleged role in creating facial-recognition software used to oppress Uyghur Muslims.Read more https://www.aljazeera.com/economy/2021/12/13/us-sanction-forces-chinas-ai-firm-sensetime-to-delay-ipo
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https://theenterpriseleader.com/2020/11/27/matrix-ai-network-man-one-day-volume-tops-91945-00.html
| 2020-11-27T00:00:00 |
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Matrix AI Network (MAN) One Day Volume Tops $91,945.00 - Enterprise Leader
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Matrix AI Network (MAN) One Day Volume Tops $91,945.00 - Enterprise Leader
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Matrix AI Network (MAN) One Day Volume Tops $91,945.00
Posted by Liza Goodheart on Nov 27th, 2020
Matrix AI Network (CURRENCY:MAN) traded down 32.8% against the dollar during the 1-day period ending at 11:00 AM ET on November 27th. During the last seven days, Matrix AI Network has traded down 21.1% against the dollar. Matrix AI Network has a market cap of $1.54 million and $91,945.00 worth of Matrix AI Network was traded on exchanges in the last 24 hours. One Matrix AI Network token can currently be purchased for about $0.0072 or 0.00000043 BTC on popular exchanges including HADAX, CoinEgg, DDEX and Kucoin.
Here’s how other cryptocurrencies have performed during the last 24 hours:
Get Matrix AI Network alerts:
Litecoin (LTC) traded 6.1% lower against the dollar and now trades at $67.32 or 0.00402229 BTC.
UNUS SED LEO (LEO) traded up 0.8% against the dollar and now trades at $1.34 or 0.00008009 BTC.
Dogecoin (DOGE) traded 2.6% lower against the dollar and now trades at $0.0031 or 0.00000019 BTC.
Verge (XVG) traded 4.3% lower against the dollar and now trades at $0.0063 or 0.00000037 BTC.
Bytom (BTM) traded 2% lower against the dollar and now trades at $0.0628 or 0.00000375 BTC.
Syscoin (SYS) traded 7.2% lower against the dollar and now trades at $0.0743 or 0.00000444 BTC.
XeniosCoin (XNC) traded 1% higher against the dollar and now trades at $0.46 or 0.00002719 BTC.
Polymath (POLY) traded 2.3% lower against the dollar and now trades at $0.0630 or 0.00000377 BTC.
Hellenic Coin (HNC) traded 6.2% lower against the dollar and now trades at $0.46 or 0.00002763 BTC.
TTC Protocol (TTC) traded down 5.3% against the dollar and now trades at $0.0992 or 0.00001073 BTC.
About Matrix AI Network
Matrix AI Network (CRYPTO:MAN) is a proof-of-work (PoW) token that uses the Scrypt hashing algorithm. Its genesis date was June 26th, 2017. Matrix AI Network’s total supply is 647,450,056 tokens and its circulating supply is 214,302,042 tokens. Matrix AI Network’s official Twitter account is @peoplecoinnews and its Facebook page is accessible here. The Reddit community for Matrix AI Network is /r/MatrixAINetwork and the currency’s Github account can be viewed here. The official website for Matrix AI Network is www.matrix.io.
Matrix AI Network Token Trading
Matrix AI Network can be traded on these cryptocurrency exchanges: Kucoin, DDEX, Ethfinex, HitBTC, LBank, HADAX, Gate.io, CoinEgg and IDEX. It is usually not possible to purchase alternative cryptocurrencies such as Matrix AI Network directly using US dollars. Investors seeking to acquire Matrix AI Network should first purchase Bitcoin or Ethereum using an exchange that deals in US dollars such as Changelly, GDAX or Gemini. Investors can then use their newly-acquired Bitcoin or Ethereum to purchase Matrix AI Network using one of the exchanges listed above.
Receive News & Updates for Matrix AI Network Daily - Enter your email address below to receive a concise daily summary of the latest news and updates for Matrix AI Network and related cryptocurrencies with MarketBeat.com's FREE CryptoBeat newsletter.
« PREVIOUSUSD Coin Reaches Market Capitalization of $2.90 Billion (USDC) » NEXTOrmeus Ecosystem (ECO) 1-Day Trading Volume Hits $189,502.00
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Matrix AI Network (MAN) One Day Volume Tops $91,945.00
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Matrix AI Network MAN One Day Volume Tops 91,945.00 Enterprise Leader Home About Business Economy Health Markets Technology Daily Ratings News Matrix AI Network Complete form receive latest headlines analysts recommendations Matrix AI Network free daily email newsletter: Follow Recent Posts Aurora Cannabis TSE:ACB Price Target Lowered C14.00 CIBC GE Announces Its Plan To Sell The Distributed Power Business To Advent International Ebang Communication Resorts To The Filing Of An IPO In Hong Kong How Open DAA, VCD, NRG, IMG, MDF Files Smart Risky? 3 Ways Tell Your Next Business Move Mistake Foxconn Launches Investigation After Reports Of Harsh Working Conditions At Its Factory Flagstar Bancorp Acquires 52 Retails Branches Belonging To Wells Fargo UK Government Unloads Another Stake In Royal Bank Of Scotland RBS; Bailout Losses Reach 5.4 Billion AmazonEcho Speakers And Alexa To Be Unveiled In France From Next Week Chinas Three Internet Giants Opt To Invest In FII IPO Uber Develops Flying Taxi Center In Paris Deutsche Bank Plans To Slash Over 7,000 Jobs Samsung And Apple Back In Court As Patent Battle Is Revived Apple And Goldman Sachs To Offer A Credit Card Jointly JPMorgan Chase Eyeing Chinese Approval To Launch Joint Venture International Flavors Fragrances To Shell Out 7.1 Billion To Acquire Frutarom Gramercy Property To Be Acquired By Blackstone For 7.6 Billion Boeing To Spend 3.2 Billion On KLX Acquisition Guitar Maker Gibson On The Verge Bankruptcy Israeli Startup Sues Apple Over DualLens Camera Technology Matrix AI Network MAN One Day Volume Tops 91,945.00 Posted Liza Goodheart Nov 27th, 2020 Matrix AI Network CURRENCY:MAN traded 32.8 dollar 1day period ending 11:00 AM ET November 27th. During seven days, Matrix AI Network traded 21.1 dollar. Matrix AI Network market cap 1.54 million 91,945.00 worth Matrix AI Network traded exchanges 24 hours. One Matrix AI Network token currently purchased 0.0072 0.00000043 BTC popular exchanges including HADAX, CoinEgg, DDEX Kucoin. Heres cryptocurrencies performed 24 hours: Get Matrix AI Network alerts: Litecoin LTC traded 6.1 lower dollar trades 67.32 0.00402229 BTC. UNUS SED LEO LEO traded 0.8 dollar trades 1.34 0.00008009 BTC. Dogecoin DOGE traded 2.6 lower dollar trades 0.0031 0.00000019 BTC. Verge XVG traded 4.3 lower dollar trades 0.0063 0.00000037 BTC. Bytom BTM traded 2 lower dollar trades 0.0628 0.00000375 BTC. Syscoin SYS traded 7.2 lower dollar trades 0.0743 0.00000444 BTC. XeniosCoin XNC traded 1 higher dollar trades 0.46 0.00002719 BTC. Polymath POLY traded 2.3 lower dollar trades 0.0630 0.00000377 BTC. Hellenic Coin HNC traded 6.2 lower dollar trades 0.46 0.00002763 BTC. TTC Protocol TTC traded 5.3 dollar trades 0.0992 0.00001073 BTC. About Matrix AI Network Matrix AI Network CRYPTO:MAN proofofwork PoW token uses Scrypt hashing algorithm. Its genesis date June 26th, 2017. Matrix AI Networks total supply 647,450,056 tokens circulating supply 214,302,042 tokens. Matrix AI Networks official Twitter account Facebook accessible here. The Reddit community Matrix AI Network rMatrixAINetwork currencys Github account viewed here. The official website Matrix AI Network Matrix AI Network Token Trading Matrix AI Network traded cryptocurrency exchanges: Kucoin, DDEX, Ethfinex, HitBTC, LBank, HADAX, , CoinEgg IDEX. It usually possible purchase alternative cryptocurrencies Matrix AI Network directly US dollars. Investors seeking acquire Matrix AI Network purchase Bitcoin Ethereum exchange deals US dollars Changelly, GDAX Gemini. Investors use newlyacquired Bitcoin Ethereum purchase Matrix AI Network exchanges listed above. Receive News Updates Matrix AI Network Daily Enter email address receive concise daily summary latest news updates Matrix AI Network related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSUSD Coin Reaches Market Capitalization 2.90 Billion USDC NEXTOrmeus Ecosystem ECO 1Day Trading Volume Hits 189,502.00 Latest News Aurora Cannabis Price Target Lowered C14.00 CIBC GE Announces Its Plan To Sell The Distributed Power Business To Advent International Ebang Communication Resorts To The Filing Of An IPO In Hong Kong How Open DAA, VCD, NRG, IMG, MDF Files Smart Risky? 3 Ways Tell Your Next Business Move Mistake Foxconn Launches Investigation After Reports Of Harsh Working Conditions At Its Factory Business Economy Health Markets Technology 20062020 Enterprise Leader
| 2,020 |
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https://theenterpriseleader.com/2022/06/19/zeta-global-nasdaqzeta-vs-soundhound-ai-nasdaqsoun-financial-survey.html
| 2022-06-19T00:00:00 |
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Zeta Global (NASDAQ:ZETA) vs. SoundHound AI (NASDAQ:SOUN) Financial Survey - Enterprise Leader
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Zeta Global (NASDAQ:ZETA) vs. SoundHound AI (NASDAQ:SOUN) Financial Survey - Enterprise Leader
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Zeta Global (NASDAQ:ZETA) vs. SoundHound AI (NASDAQ:SOUN) Financial Survey
Posted by Maurice Goldstein on Jun 19th, 2022
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Zeta Global (NASDAQ:ZETA – Get Rating) and SoundHound AI (NASDAQ:SOUN – Get Rating) are both small-cap business services companies, but which is the superior stock? We will compare the two companies based on the strength of their analyst recommendations, profitability, earnings, dividends, valuation, risk and institutional ownership.
Analyst Recommendations
Get Zeta Global alerts:
This is a breakdown of current recommendations for Zeta Global and SoundHound AI, as provided by MarketBeat.
Sell Ratings
Hold Ratings
Buy Ratings
Strong Buy Ratings
Rating Score
Zeta Global
0
2
7
0
2.78
SoundHound AI
0
0
0
0
N/A
Zeta Global currently has a consensus target price of $12.81, indicating a potential upside of 143.58%. Given Zeta Global’s higher possible upside, research analysts plainly believe Zeta Global is more favorable than SoundHound AI.
Institutional and Insider Ownership
23.3% of Zeta Global shares are held by institutional investors. Strong institutional ownership is an indication that large money managers, endowments and hedge funds believe a company is poised for long-term growth.
Valuation & Earnings
This table compares Zeta Global and SoundHound AI’s gross revenue, earnings per share (EPS) and valuation.
Gross Revenue
Price/Sales Ratio
Net Income
Earnings Per Share
Price/Earnings Ratio
Zeta Global
$458.34 million
2.33
-$249.56 million
($3.34)
-1.57
SoundHound AI
N/A
N/A
-$980,000.00
N/A
N/A
SoundHound AI has lower revenue, but higher earnings than Zeta Global.
Profitability
This table compares Zeta Global and SoundHound AI’s net margins, return on equity and return on assets.
Net Margins
Return on Equity
Return on Assets
Zeta Global
-61.52%
-389.93%
-77.78%
SoundHound AI
N/A
-24,694.44%
-19.47%
Summary
Zeta Global beats SoundHound AI on 5 of the 8 factors compared between the two stocks.
About Zeta Global (Get Rating)
Zeta Global Holdings Corp. operates an omnichannel data-driven cloud platform that provides enterprises with consumer intelligence and marketing automation software in the United States and internationally. Its Zeta Marketing Platform analyzes billions of structured and unstructured data points to predict consumer intent by leveraging sophisticated machine learning algorithms and the industry's opted-in data set for omnichannel marketing; and Consumer Data platform ingests, analyzes, and distills disparate data points to generate a single view of a consumer, encompassing identity, profile characteristics, behaviors, and purchase intent. It also offers various types of product suites, such as opportunity explorer, and CDP+, which helps in consolidating multiple databases and internal and external data feeds and organize data based on needs and performance metrics. The company was incorporated in 2007 and is headquartered in New York, New York.
About SoundHound AI (Get Rating)
SoundHound AI, Inc. develops independent voice artificial intelligence (AI) platform that enables businesses across industries to deliver high-quality conversational experiences to their customers. Its products include Houndify platform that offers a suite of Houndify tools to help brands build conversational voice assistants, such as automatic speech recognition, natural language understanding, wake words, custom domains, text-to-speech, and embedded voice solutions The company is headquartered in Santa Clara, California.
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Head-To-Head Analysis: Enovis (ENOV) & Its Competitors
Head to Head Comparison: Hyzon Motors (NASDAQ:HYZN) and FuelCell Energy (NASDAQ:FCEL)
Comparing Greenidge Generation (NASDAQ:GREE) and Zendesk (NYSE:ZEN)
Critical Comparison: Codex DNA (DNAY) and Its Rivals
TransUnion (NYSE:TRU) Receives $115.33 Average PT from Brokerages
INDUS Realty Trust, Inc. (NASDAQ:INDT) Receives $80.50 Consensus Target Price from Analysts
Cara Therapeutics, Inc. (NASDAQ:CARA) Given Consensus Recommendation of “Buy” by Brokerages
VTEX (VTEX) versus The Competition Head-To-Head Contrast
Absci (ABSI) and The Competition Financial Contrast
Reviewing AST SpaceMobile (ASTS) & The Competition
Atara Biotherapeutics, Inc. (NASDAQ:ATRA) Receives $28.29 Consensus Target Price from Analysts
Needham & Company LLC Boosts Blink Charging (NASDAQ:BLNK) Price Target to $27.00
Business
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© 2018-2022 Enterprise Leader
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Zeta Global (NASDAQ:ZETA) vs. SoundHound AI (NASDAQ:SOUN) Financial Survey
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Zeta Global NASDAQ:ZETA vs. SoundHound AI NASDAQ:SOUN Financial Survey Enterprise Leader Skip main content Home About Business Economy Health Markets Technology Home About Business Economy Health Markets Technology Zeta Global NASDAQ:ZETA vs. SoundHound AI NASDAQ:SOUN Financial Survey Posted Maurice Goldstein Jun 19th, 2022 Share Twitter Share Facebook Share LinkedIn Share Stocktwits Zeta Global NASDAQ:ZETA Get Rating SoundHound AI NASDAQ:SOUN Get Rating smallcap business services companies, superior stock? We compare companies based strength analyst recommendations, profitability, earnings, dividends, valuation, risk institutional ownership. Analyst Recommendations Get Zeta Global alerts: This breakdown current recommendations Zeta Global SoundHound AI, provided MarketBeat. Sell Ratings Hold Ratings Buy Ratings Strong Buy Ratings Rating Score Zeta Global 0 2 7 0 2.78 SoundHound AI 0 0 0 0 NA Zeta Global currently consensus target price 12.81, indicating potential upside 143.58. Given Zeta Globals higher possible upside, research analysts plainly believe Zeta Global favorable SoundHound AI. Institutional Insider Ownership 23.3 Zeta Global shares held institutional investors. Strong institutional ownership indication large money managers, endowments hedge funds believe company poised longterm growth. Valuation Earnings This table compares Zeta Global SoundHound AIs gross revenue, earnings share EPS valuation. Gross Revenue PriceSales Ratio Net ome Earnings Per Share PriceEarnings Ratio Zeta Global 458.34 million 2.33 249.56 million 3.34 1.57 SoundHound AI NA NA 980,000.00 NA NA SoundHound AI lower revenue, higher earnings Zeta Global. Profitability This table compares Zeta Global SoundHound AIs net margins, return equity return assets. Net Margins Return Equity Return Assets Zeta Global 61.52 389.93 77.78 SoundHound AI NA 24,694.44 19.47 Summary Zeta Global beats SoundHound AI 5 8 factors compared stocks. About Zeta Global Get Rating Zeta Global Holdings Corp. operates omnichannel datadriven cloud platform provides enterprises consumer intelligence marketing automation software United States internationally. Its Zeta Marketing Platform analyzes billions structured unstructured data points predict consumer intent leveraging sophisticated machine learning algorithms industrys optedin data set omnichannel marketing; Consumer Data platform ingests, analyzes, distills disparate data points generate single view consumer, encompassing identity, profile characteristics, behaviors, purchase intent. It offers types product suites, opportunity explorer, CDP, helps consolidating multiple databases internal external data feeds organize data based needs performance metrics. The company incorporated 2007 headquartered New York, New York. About SoundHound AI Get Rating SoundHound AI, . develops independent voice artificial intelligence AI platform enables businesses industries deliver highquality conversational experiences customers. Its products include Houndify platform offers suite Houndify tools help brands build conversational voice assistants, automatic speech recognition, natural language understanding, wake words, custom domains, texttospeech, embedded voice solutions The company headquartered Santa Clara, California. Receive News Ratings Zeta Global Daily Enter email address receive concise daily summary latest news analysts ratings Zeta Global related companies FREE daily email newsletter. PREVIOUS HEADLINEBanco Santander Brasil S.A. NYSE:BSBR Given Average Rating Hold Analysts NEXT HEADLINE Virgin Galactic Holdings, . NYSE:SPCE Receives Consensus Recommendation Hold Analysts You interested in: Allianz SE Given Average Recommendation Buy Brokerages Virgin Galactic Holdings, . Receives Consensus Recommendation Hold Analysts Barratt Developments plc Receives 754.67 Average Target Price Brokerages Zeta Global vs. SoundHound AI Financial Survey Head Head Comparison: Central Puerto Heliogen Comparing Sera Prognostics Its Competitors Daily Ratings News Zeta Global Complete form receive latest headlines analysts recommendations Zeta Global free daily email newsletter: Follow Recent News Allianz SE OTCMKTS:ALIZY Given Average Recommendation Buy Brokerages Virgin Galactic Holdings, . NYSE:SPCE Receives Consensus Recommendation Hold Analysts Barratt Developments plc OTCMKTS:BTDPY Receives 754.67 Average Target Price Brokerages Zeta Global NASDAQ:ZETA vs. SoundHound AI NASDAQ:SOUN Financial Survey Head Head Comparison: Central Puerto NYSE:CEPU Heliogen NYSE:HLGN Comparing Sera Prognostics SERA Its Competitors Banco Santander Brasil S.A. NYSE:BSBR Given Average Rating Hold Analysts Contrasting Basilea Pharmaceutica OTCMKTS:BPMUF Avalo Therapeutics NASDAQ:AVTX HeadToHead Analysis: Enovis ENOV Its Competitors Head Head Comparison: Hyzon Motors NASDAQ:HYZN FuelCell Energy NASDAQ:FCEL Comparing Greenidge Generation NASDAQ:GREE Zendesk NYSE:ZEN Critical Comparison: Codex DNA DNAY Its Rivals TransUnion NYSE:TRU Receives 115.33 Average PT Brokerages INDUS Realty Trust, . NASDAQ:INDT Receives 80.50 Consensus Target Price Analysts Cara Therapeutics, . NASDAQ:CARA Given Consensus Recommendation Buy Brokerages VTEX VTEX versus The Competition HeadToHead Contrast Absci ABSI The Competition Financial Contrast Reviewing AST SpaceMobile ASTS The Competition Atara Biotherapeutics, . NASDAQ:ATRA Receives 28.29 Consensus Target Price Analysts Needham Company LLC Boosts Blink Charging NASDAQ:BLNK Price Target 27.00 Business Economy Health Markets Technology 20182022 Enterprise Leader
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