The pandemic’s impact on EV and AV R&D is forcing technologists to navigate continued uncertainty around patenting AI technology.\nBy Chethan SrinivasaNot surprisingly, the pandemic impacted the automotive industry, including electric and autonomous vehicle (E/AV) research and development.\nE/AV companies laid off workers, delayed testing, and postponed vehicle launches.\nIn spite of the negative impacts of the pandemic, and the uncertainty around AI patents, E/AV companies continued to innovate at a breakneck pace and leverage their patent portfolios to secure significant funding amidst the pandemic.\nWhile the pandemic had negative impacts across numerous industries, E/AV companies continued to innovate and achieve their business objectives using a consistent and strategic approach to patenting E/AV technology leveraging narrow AI.
"}}}},{"node":{"postTitle":"Automatic Identification Data Capture Market Share, Statistics, Size, Share, Regional Analysis by Key Players","slug":"automatic-identification-data-capture-market-share-statistics-size-share-regional-analysis-by-key-players","publishDate":"None","createdLocal":"2021-05-25 14:30:58.799707","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Based on the Automatic Identification Data Capture industrial chain, this report mainly elaborates the definition, types, applications and major players of Automatic Identification Data Capture market in details.\nGlobal Automatic Identification Data Capture Market Report 2019 – Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Automatic Identification Data Capture industry.\nHere are the questions we answer…What are the future opportunities in store for the vendors operating in the Automatic Identification Data Capture market?\nWhich emerging technologies are believed to impact the Automatic Identification Data Capture market performance?\nWhat are the latest technologies or discoveries influencing the Automatic Identification Data Capture market growth worldwide?
"}}}},{"node":{"postTitle":"Keflavik International Airport: Implementation of the EU","slug":"keflavik-international-airport-implementation-of-the-eu","publishDate":"None","createdLocal":"2021-05-25 14:30:57.861530","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Keflavik International Airport: Implementation of the European Entry/Exit System0 SHARESPosted: 25 May 2021 | IDEMIA |By 2022, Iceland, like all Schengen states, will have to comply with European Entry/Exit System (EU/EES) regulations.\nKeflavik International Airport (KEF) has in past years welcomed up to 29 airlines, covering 78 destinations.\nHowever, when it comes to the field of border control, Iceland is at the forefront of innovation.\nSimulation is used to execute the capacity analysis and evaluate the different setups and locations needed for this new border control facility.\nBacked by this new system, Iceland will comply in time with EU Entry/Exit System (EU-EES) regulations.
"}}}},{"node":{"postTitle":"Seychellois patents translation messaging app Know What I Mean for 60 languages, plans to add creole option","slug":"seychellois-patents-translation-messaging-app-know-what-i-mean-for-60-languages-plans-to-add-creole-option","publishDate":"None","createdLocal":"2021-05-25 14:30:56.057146","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"OKFor optimum operation, this website makes use of cookies.\nFor more information click here
"}}}},{"node":{"postTitle":"OnePlus patents TV with pop-up camera that watches you watching television even if you move","slug":"oneplus-patents-tv-with-pop-up-camera-that-watches-you-watching-television-even-if-you-move","publishDate":"None","createdLocal":"2021-05-25 14:30:47.779443","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The Chinese manufacturer OnePlus has patented an idea for a smart TV that incorporates a rotating pop-up camera in its body.\nWhile other companies have already released televisions with static pop-up cameras, this OnePlus smart TV would be able to track a user who was moving around a room or viewing space.\nAs shared by LetsGoDigital, the Chinese patent is for a smart TV that features a camera that is capable of extending out of the device’s frame and rotating as required.\nThe patent for the OnePlus smart TV with rotating pop-up camera states that “the camera module has a relatively large photographing range”, so users could expect it to follow them all around a room.\nHowever, OnePlus wants to make sure its rotating camera can keep a watchful eye over its user.
"}}}},{"node":{"postTitle":"AI Image Recognition Market Size, Share to Record Significant Growth Through 2026","slug":"ai-image-recognition-market-size-share-to-record-significant-growth-through-2026","publishDate":"2021-05-25 16:43:17","createdLocal":"2021-05-25 14:30:46.800345","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"This AI Image Recognition report also states Company Profile, sales, AI Image Recognition Market revenue and price, market share, market growth and gross margin by regions, Strategic recommendations for the new entrants, Market forecasts for a minimum of five years of all the mentioned segments, sub segments and the regional markets.\nAdditional highlights from the AI Image Recognition market report:Based on product terrain, AI Image Recognition market is bifurcated into Hardware,Software andServices.\nAsk for Discount on AI Image Recognition Market Report at: https://www.marketstudyreport.com/check-for-discount/3777024?utm_source=algosonline&utm_medium=ADSTable of Contents:Executive Summary: It includes key trends of the AI Image Recognition market related to products, applications, and other crucial factors.\nIt also provides analysis of the competitive landscape and CAGR and market size of the AI Image Recognition market based on production and revenue.\nMarket Segments: This part of the report discusses about product type and application segments of the AI Image Recognition market based on market share, CAGR, market size, and various other factors.
"}}}},{"node":{"postTitle":"MSG considered facial recognition technology to ID Charles Oakley: ‘Shattered’","slug":"msg-considered-facial-recognition-technology-to-id-charles-oakley-shattered","publishDate":"None","createdLocal":"2021-05-25 14:30:46.116899","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Madison Square Garden considered using facial recognition technology to identify whether former Knicks great Charles Oakley attempted to attend a game at the Garden, according to a former MSG employee who spoke with the podcast \"Shattered: Hope, Heartbreak and the New York Knicks.\"\nIn 2017, a few months after Oakley was removed from the Garden by MSG security, the former employee said he was asked by a manager to build out a plan for how the Garden could run its security cameras through an image recognition system.\nThe system described by the former employee in Episode 8 of the podcast matches a 2018 report from the New York Times revealing MSG’s use of facial recognition technology for security purposes.\nMultiple sources familiar with MSG’s technological capabilities told “Shattered” that the company was developing a multi-purpose image recognition system in 2017.\nEpisode 8 of “Shattered” details the night Oakley was thrown out of the Garden, as well as the internal fallout at MSG from that night.
"}}}},{"node":{"postTitle":"The business value of neural networks","slug":"the-business-value-of-neural-networks","publishDate":"2021-05-25 00:00:00","createdLocal":"2021-05-25 14:30:43.677588","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Neural networks are the backbone of algorithms that predict consumer demand, estimate freight arrival time, and more.\nNeural networks began rising to prominence in 2010, when it was shown that GPUs make backpropagation feasible for complex neural network architectures.\nAround this time, neural networks won multiple competitions in handwriting recognition without prior knowledge about the languages to be learned.\nNow, neural networks are used in domains from logistics and customer support to ecommerce retail fulfillment.\nNeural networks can solve otherwise intractable problems, such as those that render traditional analytical methods ineffective.
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