{"id":47401,"date":"2012-06-15T17:18:53","date_gmt":"2012-06-15T17:18:53","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/computer-ai-makes-sense-of-psychedelic-trips.php"},"modified":"2012-06-15T17:18:53","modified_gmt":"2012-06-15T17:18:53","slug":"computer-ai-makes-sense-of-psychedelic-trips","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/computer-ai-makes-sense-of-psychedelic-trips.php","title":{"rendered":"Computer AI makes sense of psychedelic trips"},"content":{"rendered":"<p><p>    Artificial intelligence could help us better understand the    effects of psychedelic drugs, by analysing narrative reports    written by people who are using them.  <\/p>\n<p>    Scientists barely understand how existing psychedelic drugs    work to alter perception and intensify emotions, let alone keep    pace with new ones flooding the market  often sold as \"bath    salts\" or \"herbal incense\".  <\/p>\n<p>    Enter artificial intelligence. Matthew Baggott of the University of Chicago    and colleagues used machine-learning algorithms  a type of    artificial intelligence that can learn about a given subject by    analysing massive amounts of data  to examine 1000 reports    uploaded to the website Erowid by people who had taken mind-altering    drugs.  <\/p>\n<p>    They found that the frequency with which certain words appeared    could identify the drug taken with 51 per cent accuracy on    average  compared with 10 per cent by chance. MDMA (ecstasy)    usage was identified with an accuracy of 87 per cent.  <\/p>\n<p>    The drug DMT (N,N-dimethyltryptamine) acts on the brain in    different ways from the drug Salvia (Salvia divinorum),    but the algorithms inferred that both elicit a similar    response. This might be because both are typically smoked and    so enter the bloodstream quickly, says Baggott. \"Smoked    psychedelic drugs may 'hit' people hard and fast in a similar    way.\"  <\/p>\n<p>    Baggott hopes the work will aid research into the effects of    new and existing drugs. \"You need to start with some theories    about the effects of a drug,\" he says. \"Machine learning can    help us form those theories.\"  <\/p>\n<p>    Journal reference: arxiv.org\/abs\/1206.0312  <\/p>\n<p>    If you would like to reuse any content from New    Scientist, either in print or online, please     contact the syndication department first for    permission. New Scientist does not own rights to photos, but    there are a variety of    licensing options available for use of articles and    graphics we own the copyright to.  <\/p>\n<p>      Only subscribers may leave comments on this article. Please      log in.    <\/p>\n<p>      Only personal subscribers may leave comments on this article    <\/p>\n<\/p>\n<p>Read the rest here: <\/p>\n<p><a target=\"_blank\" href=\"http:\/\/feeds.newscientist.com\/c\/749\/f\/10897\/s\/20614054\/l\/0L0Snewscientist0N0Carticle0Cdn219290Ecomputer0Eai0Emakes0Esense0Eof0Epsychedelic0Etrips0Bhtml0DDCMP0FOTC0Erss0Gnsref0Fonline0Enews\/story01.htm\" title=\"Computer AI makes sense of psychedelic trips\">Computer AI makes sense of psychedelic trips<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Artificial intelligence could help us better understand the effects of psychedelic drugs, by analysing narrative reports written by people who are using them. Scientists barely understand how existing psychedelic drugs work to alter perception and intensify emotions, let alone keep pace with new ones flooding the market often sold as \"bath salts\" or \"herbal incense\". Enter artificial intelligence.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/computer-ai-makes-sense-of-psychedelic-trips.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-47401","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\/47401"}],"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=47401"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/47401\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=47401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=47401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=47401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}