A tab will appear, select the third option available “Settings & Privacy” then select “Settings”.\nSelect “Settings & Privacy” – then Settings, followed by “Privacy” in the sidebar on the left.\nIf you’d rather turn off this setting, click on the small downward-facing arrow in the top-right corner of Facebook and click “Settings & Privacy” – then Settings.\nClick on “Settings & Privacy” – then Settings, and then click on “Profile and tagging” in the sidebar that appears on the left.\nReturn to the small downward-facing arrow, then click “Settings & Privacy” – then Settings.
"}}}},{"node":{"postTitle":"Global Neuromorphic Computing Market Report 2021: Image Recognition, Signal Recognition, Data Mining - Forecast to 2026 - ResearchAndMarkets.com","slug":"global-neuromorphic-computing-market-report-2021-image-recognition-signal-recognition-data-mining-forecast-to-2026-researchandmarkets-com","publishDate":"None","createdLocal":"2021-06-03 14:30:46.931358","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"DUBLIN--(BUSINESS WIRE)--The \"Global Neuromorphic Computing Market With COVID-19 Impact by Offering, Deployment, Application (Image Recognition, Signal Recognition, Data Mining), Vertical (Aerospace, Military, & Defense, Automotive, Medical) and Geography - Forecast to 2026\" report has been added to ResearchAndMarkets.com's offering.\nEdge Computing will have highest growth in coming yearsThe edge computing segment is expected to account for a 95% share of the overall neuromorphic computing market by 2026.\nAPAC is attributed to grow at the highest CAGR in the neuromorphic computing market during the forecast period (2021-2026)APAC is expected to hold the second-largest share of ~37% of the global neuromorphic computing market in 2021.\nCountries such as China, Japan, and South Korea are expected to be the major contributors to the neuromorphic computing market in APAC.\nThe neuromorphic computing market was dominated by Intel Corp. (US), IBM Corporation (US), BrainChip Holdings Ltd. (US), Qualcomm (US) and HP Enterprise (US).
"}}}},{"node":{"postTitle":"Inside PyTouch, Facebook’s ML Library For Touch Processing","slug":"inside-pytouch-facebooks-ml-library-for-touch-processing","publishDate":"2021-06-03 10:30:00+00:00","createdLocal":"2021-06-03 14:30:45.833317","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Facebook AI recently launched an open-source machine learning library, PyTouch, to process touch sensing signals.\nHowever, ready-to-use touch processing software is limited, resulting in a high entry barrier for budding developers.\nThe image depicts PyTouch architecture, where tactile touch processing is delivered to the end application ‘as a service’ through released pre-trained models.\nBuilt on a library of pre-trained models, PyTouch provides real-time touch processing functionalities.\n(Source: arXiv.org)Road aheadFacebook is looking to create an extendable library for touch processing similar to what PyTorch and OpenCV are for computer vision.
"}}}},{"node":{"postTitle":"Applying AI to Real-Time Video Processing: The Basics and More","slug":"applying-ai-to-real-time-video-processing-the-basics-and-more","publishDate":"2021-06-01 17:51:03+00:00","createdLocal":"2021-06-02 14:31:04.478646","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"And just like image processing, video processing uses established techniques like computer vision, object recognition, machine learning, and deep learning to enhance this process.\nKeep reading to learn what approach you can take when it comes to using AI in video processing.\nReal-time video processing is an essential technology in surveillance systems using object and facial recognition.\nNow, the goal of any video processing task is to complete these steps as quickly and accurately as possible.\nDespite this, video file splitting isn’t the best option for real-time video processing.
"}}}},{"node":{"postTitle":"Congress Struggles to Control Facial Recognition","slug":"congress-struggles-to-control-facial-recognition","publishDate":"2021-06-01 20:53:26+00:00","createdLocal":"2021-06-02 14:30:56.102009","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"On one hand, lots of people use facial recognition technology several times a day when they unlock their phones.\nA good example of facial recognition where it’s problematic is when facial recognition is used to identify people in crowds.\nFacial recognition used to pick people out of crowds is more difficult.\nAs a result, a patchwork of agencies uses facial recognition technology is a variety of ways with little consistency or guidance.\nAnd that’s the reason for the laws banning facial recognition, and for the call for laws on a federal level setting standards.
"}}}},{"node":{"postTitle":"United States Image Recognition Market – The Shotcaller","slug":"united-states-image-recognition-market-the-shotcaller","publishDate":"None","createdLocal":"2021-06-02 14:30:55.278002","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Latest Research Study on Global Image Recognition Market published by AMA, offers a detailed overview of the factors influencing the global business scope.\nGlobal Image Recognition Market research report shows the latest market insights with upcoming trends and breakdown of the products and services.\nThe report provides key statistics on the market status, size, share, growth… Continue reading Image Recognition Market to See Major Growth by 2025 | Sharp Vision Software, Catchoom, Hitachi
"}}}},{"node":{"postTitle":"Sharp Vision Software, Catchoom, Hitachi – The Shotcaller","slug":"sharp-vision-software-catchoom-hitachi-the-shotcaller","publishDate":"None","createdLocal":"2021-06-02 14:30:54.679072","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Latest Research Study on Global Image Recognition Market published by AMA, offers a detailed overview of the factors influencing the global business scope.\nGlobal Image Recognition Market research report shows the latest market insights with upcoming trends and breakdown of the products and services.\nThe report provides key statistics on the market status, size, share, growth factors, Challenges and Current Scenario Analysis of the Global Image Recognition.\nMaintain a competitive edge by sizing up with available business opportunity in Image Recognition Market various segments and emerging territory.\nAll primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.
"}}}},{"node":{"postTitle":"University of Central Florida Offers Master’s Degree in Computer Vision","slug":"university-of-central-florida-offers-masters-degree-in-computer-vision","publishDate":"2021-06-01 23:20:14+00:00","createdLocal":"2021-06-02 14:30:53.916423","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The University of Central Florida (UCF) will be offering a new master’s degree in computer vision when classes resume in the fall.\nThe number of computer vision job postings was up 116 percent in the Indeed report.\nThe Center for Research in Computer Vision, meanwhile, has been recognized for groundbreaking work in several different areas of computer vision.\nOther applications of computer vision include facial recognition, crowd counting, and surveillance in addition to medical pattern recognition.\n“UCF is well-positioned to offer this master’s degree program with its nationally ranked reputation in computer vision research and strong industry partnerships.”UCF is the first public school in the US to offer a computer vision master’s degree.
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