{"id":89417,"date":"2013-09-21T10:40:40","date_gmt":"2013-09-21T14:40:40","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/facebook-working-on-deep-learning-artificial-intelligence-to-improve-news-feed.php"},"modified":"2013-09-21T10:40:40","modified_gmt":"2013-09-21T14:40:40","slug":"facebook-working-on-deep-learning-artificial-intelligence-to-improve-news-feed","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/facebook-working-on-deep-learning-artificial-intelligence-to-improve-news-feed.php","title":{"rendered":"Facebook working on \u201cdeep learning\u201d artificial intelligence to improve news feed"},"content":{"rendered":"<p><p>    Facebook is aiming to get inside its users minds,    figuratively speaking, to find out what they mean when posting    statuses. Such is coming by way of an artificial intelligence    being created by the social network that MIT reports    as functioning with simulated networks of brain cells, all of    them crunching away at data to perform deep learning, helping    it to ascertain the emotions and subtleties behind a    status.  <\/p>\n<\/p>\n<p>    The goal behind what is being referred to as the deep learning    system is the ability to analyze a status and figure out what    the events or likely emotions were behind the words, though    neither may be specified. The artificial intelligence could    also learn to pinpoint what objects are in photographs, and    learn to predict what users may do in the future.  <\/p>\n<p>    Such information comes from Facebooks Chief Technology Officer    Mike Schroepfer, who says the project is being worked on by    eight individuals who are collectively known as the AI Team.    The deep learning project is new, and the social network is    remaining tight-lipped about most of its details, not    surprisingly. But some of the ends goals have been revealed,    among them being a boost to users news feeds.  <\/p>\n<p>    In particular, Facebook aims to improve what status updates    Facebook users see in their news feed, selecting the ones    amidst the barrage that happens every day that each user is    mostly likely to want to see. The company already does this    using more conventional means, attempting to provide status    updates from friends that each user would likely be most    interested in, a necessity given the vast amount posted every    day.  <\/p>\n<p>    Said Schroepfer, The data set is increasing in size, people    are getting more friends, and with the advent of mobile, people    are online more frequently. Its not that I look at my news    feed once at the end of the day; I constantly pull out my phone    while Im waiting for my friend, or Im at the coffee shop. We    have five minutes to really delight you.  <\/p>\n<p>    SOURCE: MIT Technology Review  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See the rest here: <\/p>\n<p><a target=\"_blank\" href=\"http:\/\/www.slashgear.com\/facebook-working-on-deep-learning-artificial-intelligence-to-improve-news-feed-20298682\/\" title=\"Facebook working on \u201cdeep learning\u201d artificial intelligence to improve news feed\">Facebook working on \u201cdeep learning\u201d artificial intelligence to improve news feed<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Facebook is aiming to get inside its users minds, figuratively speaking, to find out what they mean when posting statuses. Such is coming by way of an artificial intelligence being created by the social network that MIT reports as functioning with simulated networks of brain cells, all of them crunching away at data to perform deep learning, helping it to ascertain the emotions and subtleties behind a status <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/facebook-working-on-deep-learning-artificial-intelligence-to-improve-news-feed.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-89417","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/89417"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=89417"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/89417\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=89417"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=89417"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=89417"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}