{"id":471014,"date":"2017-03-09T11:13:00","date_gmt":"2017-03-09T09:13:00","guid":{"rendered":"http:\/\/nhub.news\/?p=471014"},"modified":"2017-03-24T18:07:10","modified_gmt":"2017-03-24T16:07:10","slug":"teaching-machines-to-understand-video-could-be-the-key-to-giving-them-common-sense","status":"publish","type":"post","link":"http:\/\/nhub.news\/ru\/2017\/03\/teaching-machines-to-understand-video-could-be-the-key-to-giving-them-common-sense\/","title":{"rendered":"Teaching machines to understand video could be the key to giving them common sense"},"content":{"rendered":"

Yann LeCun says the next frontier in machine vision is software that learns just by observing the world.<\/b>
Five years ago, researchers made a sudden leap in the accuracy of software that can interpret images. The technology behind it, artificial neural networks, underpins the recent boom in artificial intelligence (see \u201c 10 Breakthrough Technologies 2013: Deep Learning \u201d). It is why Google and Facebook now let you search inside your photos, and it has unlocked new applications for facial recognition.<\/p>\n

\u00a9 Source: https:\/\/www.technologyreview.com\/s\/603803\/facebooks-ai-chief-machines-could-learn-common-sense-from-video\/<\/a>
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