{"id":22058,"date":"2016-02-13T02:48:16","date_gmt":"2016-02-13T10:48:16","guid":{"rendered":"http:\/\/lifeboat.com\/blog\/2016\/02\/mit-researchers-develop-artificial-intelligence-chip-for-mobile-devices"},"modified":"2017-06-04T20:11:18","modified_gmt":"2017-06-05T03:11:18","slug":"mit-researchers-develop-artificial-intelligence-chip-for-mobile-devices","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2016\/02\/mit-researchers-develop-artificial-intelligence-chip-for-mobile-devices","title":{"rendered":"MIT Researchers Develop Artificial Intelligence Chip For Mobile Devices"},"content":{"rendered":"<p><a class=\"blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/mit-researchers-develop-artificial-intelligence-chip-for-mobile-devices.jpg\"><\/a><\/p>\n<p>MIT researchers have developed a chip that can run neural networks. It\u2019s 10 times more efficient than a mobile graphics processors, and it could allow us to have AIs on mobile devices.<\/p>\n<p>Despite the <a href=\"http:\/\/futurism.com\/googles-ai-scheduled-compete-highest-ranked-go-player-world\/\">advances<\/a> in artificial intelligence (AI) technology, most mobile devices remain behind in adapting and implementing these changes in their software. More glaringly, any kind of mobile software that utilizes AI software (such as <a href=\"http:\/\/futurism.com\/microsoft-neural-net-shows-deep-learning-can-get-way-deeper\/\">deep learning<\/a> and neural networks) offloads these tasks online to outside networks.<\/p>\n<p>It\u2019s all due to one main reason: Power consumption.<\/p>\n<p><a href=\"http:\/\/futurism.com\/mit-researchers-develop-artificial-intelligence-chip-mobile-devices\/\" target=\"_blank\">Read more<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>MIT researchers have developed a chip that can run neural networks. It\u2019s 10 times more efficient than a mobile graphics processors, and it could allow us to have AIs on mobile devices. Despite the advances in artificial intelligence (AI) technology, most mobile devices remain behind in adapting and implementing these changes in their software. More [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1523,6],"tags":[],"class_list":["post-22058","post","type-post","status-publish","format-standard","hentry","category-computing","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/22058","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=22058"}],"version-history":[{"count":3,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/22058\/revisions"}],"predecessor-version":[{"id":68476,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/22058\/revisions\/68476"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=22058"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=22058"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=22058"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}