{"id":31709,"date":"2016-11-05T10:02:57","date_gmt":"2016-11-05T17:02:57","guid":{"rendered":"http:\/\/lifeboat.com\/blog\/2016\/11\/ai-takeover-googles-deepmind-platform-can-learn-and-think-on-its-own-without-human-input"},"modified":"2017-04-24T19:24:54","modified_gmt":"2017-04-25T02:24:54","slug":"ai-takeover-googles-deepmind-platform-can-learn-and-think-on-its-own-without-human-input","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2016\/11\/ai-takeover-googles-deepmind-platform-can-learn-and-think-on-its-own-without-human-input","title":{"rendered":"AI takeover: Google\u2019s \u2018DeepMind\u2019 platform can learn and think on it\u2019s own without human input"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/TnUYcTuZJpM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>AI good for internal back office and some limited front office activities; however, still need to see more adoption of QC in the Net and infrastructure in companies to expose their services and information to the public net &amp; infrastructure.<\/p>\n<hr>\n<p>Deep learning, as explained by tech journalist Michael Copeland on <a href=\"http:\/\/Blogs.nvidia.com\">Blogs.nvidia.com<\/a>, is the newest and most powerful computational development thus far. It combines all prior research in <a href=\"http:\/\/www.aisystems.news\/\" target=\"_blank\"> artificial intelligence<\/a> (AI) and machine learning. At its most fundamental level, Copeland explains, deep learning uses algorithms to peruse massive amounts of data, and then learn from that data to make decisions or predictions. The Defense Agency Advanced Project Research (DARPA), as <em> Wired <\/em> reports, calls this method \u201cprobabilistic programming.\u201d<\/p>\n<p>Mimicking the human brain\u2019s billions of <a href=\"http:\/\/science.naturalnews.com\/neurons.html\" target=\"_blank\"> neural connections<\/a> by creating artificial neural networks was thought to be the path to AI in the early days, but it was too \u201ccomputationally intensive.\u201d It was the invention of Nvidia\u2019s powerful graphics processing unit (GPU), that allowed Andre Ng, a scientist at Google, to create algorithms by \u201cbuilding massive artificial neural networks\u201d loosely inspired by connections in the human brain. This was the breakthrough that changed everything. Now, according to <a href=\"http:\/\/Thenextweb.com\">Thenextweb.com<\/a>, Google\u2019s Deep Mind platform has been <em> proven<\/em> to teach itself, without any human input.<\/p>\n<p>In fact, earlier this year an AI named AlphaGO, developed by Google\u2019s Deep Mind division, beat Lee Sedol, a world master of the 3000 year-old Chinese game GO, described as the most complex game known to exist. AlphaGO\u2019s creators and followers now say this Deep Learning AI proves that machines <em> can<\/em> learn and <em> may possibly<\/em> demonstrate intuition. This AI victory has changed our world forever.<\/p>\n<p><!-- Link: <a href=\"http:\/\/newstarget.com\/2016-11-04-ai-takeover-googles-deepmind-platform-can-learn-and-think-on-its-own-without-human-input.html\">http:\/\/newstarget.com\/2016&#45;11&#45;04-ai-takeover-googles...input.html<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI good for internal back office and some limited front office activities; however, still need to see more adoption of QC in the Net and infrastructure in companies to expose their services and information to the public net &amp; infrastructure. Deep learning, as explained by tech journalist Michael Copeland on Blogs.nvidia.com, is the newest and [\u2026]<\/p>\n","protected":false},"author":395,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,6],"tags":[],"class_list":["post-31709","post","type-post","status-publish","format-standard","hentry","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/31709","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\/395"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=31709"}],"version-history":[{"count":1,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/31709\/revisions"}],"predecessor-version":[{"id":38612,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/31709\/revisions\/38612"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=31709"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=31709"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=31709"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}