Global Natural Language Processing Market Overview:Global Natural Language Processing Market Report 2021 comes with an extensive industry analysis of development components, patterns, flows, and sizes.\nThis research study of Natural Language Processing involved the extensive usage of both primary and secondary data sources.\nImpact of COVID-19 on Natural Language Processing Market:The report also contains the effect of the ongoing worldwide pandemic, i.e., COVID-19, on the Natural Language Processing Market and what the future holds for it.\nThe Natural Language Processing Market report also assesses the economic effect on firms and monetary markets.\nIt also throws light on the vendor landscape to help players become aware of future competitive changes in the global Natural Language Processing market.
"}}}},{"node":{"postTitle":"Investigation reveals NYPD may use more facial recognition cameras in neighborhoods of color","slug":"investigation-reveals-nypd-may-use-more-facial-recognition-cameras-in-neighborhoods-of-color","publishDate":"2021-06-04 03:19:31+00:00","createdLocal":"2021-06-04 14:30:52.000819","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"NEW YORK — Cameras are always watching, so there’s nothing private for New Yorkers going out in public.\nBut the NYPD’s facial recognition technology takes being on camera a step further — and exactly where the department’s cameras are in place is raising concerns.\nA new study by Amnesty International shows more than 15,000 NYPD cameras are across neighborhoods of color in Manhattan, the Bronx and Brooklyn.\n“The facial recognition technology is deeply inaccurate, particularly when analyzing the faces of women and people of color,” said Daniel Schwartz, a technology strategist for the New York Civil Liberties Union.\n“The NYPD does not and has never automatically run facial recognition tools against images collected by our security camera network,” a spokesperson for the department told PIX11 News.
"}}}},{"node":{"postTitle":"Artificial Intelligence (AI) in Medical Diagnostics Market – Internet of medical things is making vast strides","slug":"artificial-intelligence-ai-in-medical-diagnostics-market-internet-of-medical-things-is-making-vast-strides","publishDate":"None","createdLocal":"2021-06-04 14:30:50.222202","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"In particular, the effects of AI penetration in medical diagnostics has expanded the canvas for offering high-quality patient care.\nThe image recognition is perhaps the most compelling consumer proposition in the AI in medical diagnostics market.\nFurther, another dimension that spurs research in AI in medical diagnostics market is need for improving the accuracy of diagnosis, either through single or several images.\nSuch developments are expected to open new avenues for various industry stakeholders in the AI in medical diagnostics market.\nSome of the emerging incumbent players in the AI in medical diagnostics market are;Zebra Medical VisionAidenceDay Zero DiagnosticsEnlitic, Inc.XilinxDigital DiagnosticsSiemens HealthineersIntelIBMNVIDIAGet Table of Content of the Report @ https://www.tmrresearch.com/sample/sample?flag=T&rep_id=7413Artificial Intelligence (AI) in Medical Diagnostics Regional AssessmentOn the regional front, North America has been a highly lucrative region.
"}}}},{"node":{"postTitle":"Computer vision and AI: more than just face recognition","slug":"computer-vision-and-ai-more-than-just-face-recognition","publishDate":"2021-06-04 07:12:54+00:00","createdLocal":"2021-06-04 14:30:49.347539","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"When artificial intelligence (AI) hits the headlines, it’s usually bad news pertaining to the perils of face recognition.\nBeyond face recognition: What exactly is computer vision?\nComputer vision, or CV, gives machines the power of visual recognition in a way that emulates human sight.\nTo classify digital images, computer vision tech uses image recognition algorithms that are trained to identify differences in digital images of different classes.\nSeen across sectorsApple’s Face ID is probably the best-known application of computer vision through its face recognition properties.
"}}}},{"node":{"postTitle":"5 Incredible Advances in Gaming Technology","slug":"5-incredible-advances-in-gaming-technology","publishDate":"2021-06-04 08:26:10+00:00","createdLocal":"2021-06-04 14:30:48.800991","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Gaming industry, which is mostly based on technology, has also been smoothly changed by these major improvements.\nSo, if you are curious about the newest innovations in the gaming industry, do not miss this article, because we are going to talk about 5 incredible advances in gaming technology.\nWith such incredible gaming graphics you will also need a 4K display so you can enjoy an amazing Ultra 4K gaming experience.\nThis incredible technology takes the object of the game and places it in real life situations or environments.\nThis technology is just at the beginning and will offer some incredible improvements to the gaming experience we are already used to.
"}}}},{"node":{"postTitle":"China’s massive multimodal AI system isn’t a one-trick pony","slug":"chinas-massive-multimodal-ai-system-isnt-a-one-trick-pony","publishDate":"2021-06-04 09:38:55+00:00","createdLocal":"2021-06-04 14:30:46.923523","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"When Open AI’s GPT-3 model debuted in May 2020, its performance was universally regarded as a literal state of the art.\nGPT-3 set a new standard in deep learning by being able to generate writing unrecognizable from human-crafted language.\nFirst and foremost, Wu Dao is vast.\nUnlike other deep learning models, Wu Dao is multi-modal, similar in theory to Facebook’s anti-hate speech AI or Google’s recently introduced MUM.\n“What we are constructing is a power plant for the future of AI; with mega data, mega computing capacity, and mega models, we will be able to transform data to feed future AI applications.”
"}}}},{"node":{"postTitle":"Image Recognition in Retail Market Increasing Demand with Leading Player, Comprehensive Analysis, Forecast 2027 – The Manomet Current","slug":"image-recognition-in-retail-market-increasing-demand-with-leading-player-comprehensive-analysis-forecast-2027-the-manomet-current","publishDate":"None","createdLocal":"2021-06-04 14:30:45.302689","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Image recognition is the process of analyzing an input image and predicting its category.\nThus, the growing market competition across the globe has led to the adoption of different strategies to increase sales which includes image recognition.\nFurther, the need to increase shelf availability, enhance customer experience and maximize Return on Investment drives the market growth.\nThe regional analysis of global Image Recognition in Retail market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World.\nFactors such as rising disposable income, rising population would create lucrative growth prospects for the Image Recognition in Retail market across Asia-Pacific region.
"}}}},{"node":{"postTitle":"Image recognition Market Size, Top Trends in 2020 – Global Industry Revenue, Forecast to 2027 – Jumbo News","slug":"image-recognition-market-size-top-trends-in-2020-global-industry-revenue-forecast-to-2027-jumbo-news","publishDate":"None","createdLocal":"2021-06-04 14:30:44.560657","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The global Image recognition market is categorized based on product type, application, end-use industry, region, and competitive backdrop.\nDownload FREE sample copy of Image recognition market report@ https://www.emergenresearch.com/request-sample/549Moreover, this section throws light on the key growth prospects for the Image recognition market during the forecast period.\nThe Image recognition market is highly consolidated due to the presence of a large number of companies.\nThe Image recognition market report’s major components also include end-user landscape, solutions and services offered by the leading companies, technological innovations, critical industry-verified facts and figures, and the current as well as emerging Image recognition market trends.\nWhat is the market assessment for the keyword Market as per the market segmented into types and applications?
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