The future of surgical tech may conjure up certain images: robot surgeons assisting humans; hologram anatomies projected above patients.\nBut, while he is a surgeon familiar with AI, Jeelani posits another acronym as more useful to the future of surgical tech: natural intelligence (NI).\nGoogle maps for the human bodyJeelani’s view is that AI-as-panacea is myth, exercising more of a need for NI in surgical tech.\nSurgical platform developer Theator raised a $15.5m series A round this year off the back of its surgical tech video tools.\nThrough desktop and mobile apps, surgeons have access to an indexed library of over 400,000 minutes of surgical video encompassing over 80,000 moments.
"}}}},{"node":{"postTitle":"There’s More To Machine Learning Than CNNs","slug":"theres-more-to-machine-learning-than-cnns","publishDate":"2021-06-09 07:01:22+00:00","createdLocal":"2021-06-09 14:30:51.182511","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Neural networks – and convolutional neural networks (CNNs) in particular – have received an abundance of attention over the last few years, but they’re not the only useful machine-learning structures.\n“Neural networks can do all this really complex pattern recognition stuff, especially the convolutional neural networks,” said Elias Fallon, software engineering group director, custom IC & PCB group at Cadence.\nConventional neural networksArtificial neural networks (ANNs), the most familiar structures, deepen the original perceptron idea.\nConvolutional neural networks (CNNs) arguably have the most dedicated hardware solutions.\nThe difference is that in the older case, the decisions were specifically created by the developer, while the machine learns the heuristics in a decision tree.
"}}}},{"node":{"postTitle":"What to Know About the Newest iPhone and Android Software","slug":"what-to-know-about-the-newest-iphone-and-android-software","publishDate":"2021-06-09 00:00:00","createdLocal":"2021-06-09 14:30:49.021414","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"For each of those, you then decide which people and apps can cause notifications to appear on your phone.\nDuring work, you can set the phone so that only your boss’s messages appear as notifications; other notifications will be muted.\nThat means Android and Windows users can use their browsers to video chat with iPhone users in a FaceTime session by clicking on a link.\nSharePlay will allow iPhone owners on a FaceTime call to use an app together.\nIf an Android user is on the FaceTime call, though, the SharePlay function won’t work at all.
"}}}},{"node":{"postTitle":"What you need to know about the latest iPhone and Android software","slug":"what-you-need-to-know-about-the-latest-iphone-and-android-software","publishDate":"2021-06-09 09:31:20+00:00","createdLocal":"2021-06-09 14:30:48.522423","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Mobile phone software, which was the most important tool in the pandemic, is also evolving towards this new reality.\nThis change is a courtesy of Apple and Google, which recently announced the latest phone software designed for the hybrid remotework era, where the new coronavirus is accelerating.\nFaceTime, Apple’s video conferencing software, is also the biggest expansion since its debut over a decade ago.\nlast month, Introduced by Google Android 12 is the latest operating system for mobile devices.\nThe company focused on streamlining software design to help people work more efficiently, including shortcut menus for quick access to their favorite tools.
"}}}},{"node":{"postTitle":"Image Recognition Software Market: Year 2021-2028 and its Detail Analysis by Focusing on Top Key Players like Microsoft, AWS, OpenCV, Google, Sight Machine, Scikit-image, Clarifai, Ximilar – The Couri","slug":"image-recognition-software-market-year-2021-2028-and-its-detail-analysis-by-focusing-on-top-key-players-like-microsoft-aws-opencv-google-sight-machine-scikit-image-clarifai-ximilar-the-couri","publishDate":"None","createdLocal":"2021-06-09 14:30:47.362662","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Global Image Recognition Software Market is expected to develop at a substantial CAGR in the coming years.\nThe market has also been segmented on the basis of the provincial players, out of which some are well established while some have newly entered the global market.\nOpportunity Highlights: Image Recognition Software Market research is a totally dependable investment guide which provides versatile references of the several dynamic chances with promising earnings potential.\nIt provides overview and forecast of the global Image Recognition Software market based on various segments.\nThe Image Recognition Software market by each region is later sub-segmented by respective countries and segments.
"}}}},{"node":{"postTitle":"Image Tagging and Annotation Services Market Growth Prospectus till 2028 – Business Opportunities by Kili Technology, Lionbridge Technologies, Inc., Lionbridge Technologies, Inc., Qualitas Global Serv","slug":"image-tagging-and-annotation-services-market-growth-prospectus-till-2028-business-opportunities-by-kili-technology-lionbridge-technologies-inc-lionbridge-technologies-inc-qualitas-global-serv","publishDate":"None","createdLocal":"2021-06-09 14:30:46.624080","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Further, increasing digitalization, growing deployment of image tagging & annotation tools to accurately label vast volumes of AI training data also positively impact the growth of the image tagging and annotation services market.\nThe growing adoption of image tagging & annotation services by machine learning and artificial intelligence companies are the primary factor boosting the demand for image tagging and annotation services market across the globe.\nHence, image tagging and annotation service providers focus on developing specified techniques to facilitate the automation of 3D and 2D annotation for image data.\nThis, in turn, increasing demand for the image tagging and annotation services market during the forecast period.\nWhat are the prominent market trends influencing the development of the Image Tagging and Annotation Services market across different regions?
"}}}},{"node":{"postTitle":"As novel sights become familiar, different brain rhythms, neurons take over","slug":"as-novel-sights-become-familiar-different-brain-rhythms-neurons-take-over","publishDate":"2021-06-09 00:00:00","createdLocal":"2021-06-09 14:30:45.820585","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"PV neurons are known to produce high frequency gamma rhythms in the cortex.\nGamma rhythms give way to lower frequency beta rhythms and the activity of PV neurons dies out in favor of a rise in activity by inhibitory somatostatin (SOM) expressing neurons.\nIn parallel experiments, they engineered some mice so that their PV or SOM neurons would flash brightly when active.\nPV neurons responded strongly to images when they were novel but that activity became replaced by increasing SOM activity over several days as the image became familiar.\nSOM neurons are believed to suppress PV neurons, Bear said, but to prove that SOM inhibition of PV accounts for visual recognition memory, the lab still needs to perform more experiments.
"}}}},{"node":{"postTitle":"Cameras Allow NYPD to Track People Throughout City: Report","slug":"cameras-allow-nypd-to-track-people-throughout-city-report","publishDate":"2021-06-09 00:00:00","createdLocal":"2021-06-09 14:30:45.402388","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Surveillance cameras throughout New York City allow police to track citizens via invasive facial recognition software, Amnesty International reported.\nThe ongoing project is collecting data on cameras in the remaining two boroughs, Queens and Staten Island, though Amnesty International said 38,831 locations across the city had been tagged.\nCamera imagery run through facial recognition technology (FRT) allows the NYPD to track every individual who has been captured visually as they move throughout the city.\nAmnesty International used 3D modeling to calculate the estimated distance by which an NYPD Argus camera could capture video footage processable by facial recognition software.\nThe report said the NYPD has used FRT in 22,000 cases since 2017.
"}}}}]}},"pageContext":{"limit":8,"skip":1896,"irNumPages":301,"currentPage":238}}}