{"id":1348,"date":"2014-05-29T13:37:12","date_gmt":"2014-05-29T13:37:12","guid":{"rendered":"http:\/\/sites.uac.pt\/amendes\/?p=1348"},"modified":"2014-05-29T13:37:12","modified_gmt":"2014-05-29T13:37:12","slug":"data-centers","status":"publish","type":"post","link":"https:\/\/sites.uac.pt\/amendes\/data-mining\/data-centers\/","title":{"rendered":"Better data centers through machine learning"},"content":{"rendered":"<div id=\"attachment_1165\" style=\"width: 204px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/googleblog.blogspot.in\/2014\/05\/better-data-centers-through-machine.html\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-1165\" class=\"size-full wp-image-1165\" src=\"http:\/\/sites.uac.pt\/amendes\/files\/2014\/01\/google-scholar.gif\" alt=\"Exemplo de aplica\u00e7\u00e3o de algoritmos de aprendizagem autom\u00e1tica\" width=\"194\" height=\"40\" \/><\/a><p id=\"caption-attachment-1165\" class=\"wp-caption-text\">Exemplo de aplica\u00e7\u00e3o de algoritmos de aprendizagem autom\u00e1tica<\/p><\/div>\n<p>It\u2019s no secret that we\u2019re obsessed with saving energy. For over a decade we\u2019ve been <a href=\"http:\/\/www.google.com\/about\/datacenters\/\">designing and building data centers<\/a> that use half the energy of a typical data center, and we\u2019re always  looking for ways to reduce our energy use even further. In our pursuit  of extreme efficiency, we\u2019ve hit upon a new tool: machine learning.  Today we\u2019re releasing a <a href=\"https:\/\/docs.google.com\/a\/google.com\/viewer?url=www.google.com\/about\/datacenters\/efficiency\/internal\/assets\/machine-learning-applicationsfor-datacenter-optimization-finalv2.pdf\">white paper<\/a> (PDF) on how we\u2019re using <a href=\"http:\/\/en.wikipedia.org\/wiki\/Artificial_neural_network\">neural networks<\/a> to optimize data center operations and drive our energy use to new lows.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>It\u2019s no secret that we\u2019re obsessed with saving energy. For over a decade we\u2019ve been designing and building data centers that use half the energy of a typical data center, and we\u2019re always looking for ways to reduce our energy use even further. In our pursuit of extreme efficiency, we\u2019ve hit upon a new tool: [&hellip;]<\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[103,150],"tags":[74,120],"class_list":["post-1348","post","type-post","status-publish","format-standard","hentry","category-data-mining","category-materiais-para-profissionais","tag-analise-de-dados","tag-previsao"],"_links":{"self":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1348","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/comments?post=1348"}],"version-history":[{"count":2,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1348\/revisions"}],"predecessor-version":[{"id":1350,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/1348\/revisions\/1350"}],"wp:attachment":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/media?parent=1348"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/categories?post=1348"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/tags?post=1348"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}