{"id":18039,"date":"2015-10-01T17:47:28","date_gmt":"2015-10-02T00:47:28","guid":{"rendered":"http:\/\/lifeboat.com\/blog\/2015\/10\/machine-learning-used-to-predict-crimes-before-they-happen-memory-report-style"},"modified":"2017-06-04T20:22:18","modified_gmt":"2017-06-05T03:22:18","slug":"machine-learning-used-to-predict-crimes-before-they-happen-memory-report-style","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2015\/10\/machine-learning-used-to-predict-crimes-before-they-happen-memory-report-style","title":{"rendered":"Machine learning used to predict crimes before they happen \u2014 Memory Report style"},"content":{"rendered":"<p><a class=\\'blog-photo\\' href=\"https:\/\/lifeboat.com\/blog.images\/machine-learning-used-to-predict-crimes-before-they-happen-memory-report-style.jpg\"><\/a><\/p>\n<p>The word on every tech executive\u2019s mouth today is data. Curse or blessing, there\u2019s so much data lying around \u2013 with about 2.5 quintillion bytes of data added each day \u2013 that it\u2019s become increasingly difficult to make sense of it in a meaningful way. There\u2019s a solution to the big data problem, though: machine learning algorithms that get fed countless variables and spot patterns otherwise oblivious to humans. Researchers have already made use of machine learning to solve challenges in medicine, cosmology and, most recently, crime. Tech giant Hitachi, for instance, developed a machine learning interface reminiscent of Philip K. Dick\u2019s Minority Report that can predict when, where and possibly who might commit a crime before it happens.<\/p>\n<p><a href=\"http:\/\/www.zmescience.com\/research\/predicting-crimes-before-they-happen-090423423\/\" target=\"_blank\">Read more<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The word on every tech executive\u2019s mouth today is data. Curse or blessing, there\u2019s so much data lying around \u2013 with about 2.5 quintillion bytes of data added each day \u2013 that it\u2019s become increasingly difficult to make sense of it in a meaningful way. There\u2019s a solution to the big data problem, though: machine [\u2026]<\/p>\n","protected":false},"author":384,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,6],"tags":[],"class_list":["post-18039","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/18039","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\/384"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=18039"}],"version-history":[{"count":3,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/18039\/revisions"}],"predecessor-version":[{"id":69437,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/18039\/revisions\/69437"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=18039"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=18039"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=18039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}