{"id":235,"date":"2017-12-11T09:04:33","date_gmt":"2017-12-11T09:04:33","guid":{"rendered":"http:\/\/nopixels.com\/me\/?p=235"},"modified":"2017-12-11T09:04:33","modified_gmt":"2017-12-11T09:04:33","slug":"people-who-dont-exist-gans","status":"publish","type":"post","link":"https:\/\/nopixels.com\/me\/people-who-dont-exist-gans\/","title":{"rendered":"People who don\u2019t exist. GANs"},"content":{"rendered":"<p>This image translation AI makes use of a type of algorithm called a\u00a0<a href=\"https:\/\/www.oreilly.com\/learning\/generative-adversarial-networks-for-beginners\" target=\"_blank\" rel=\"noopener noreferrer\">generative adversarial network (GAN)<\/a>.<\/p>\n<p>In a GAN, two neural networks work together by essentially working against each other. One of the networks generates an image or video, while the other critiques its work.<\/p>\n<p>Typically, a GAN requires a significant amount of labeled data to learn how to generate its own data. For example, a system would need to see pairs of images showing what a street looked like with and without snow in order to generate either image on its own.<\/p>\n<p>However, this new image translation AI developed by Nvidia researchers Ming-Yu Liu, Thomas Breuel, and Jan Kautz can\u00a0<em>imagine<\/em>\u00a0what a snow covered version of a street would look like without ever actually seeing it.<\/p>\n<p><a href=\"https:\/\/thenextweb.com\/artificial-intelligence\/2017\/11\/01\/nvidias-new-ai-creates-people-out-of-thin-air\/\">Read here<\/a>\u00a0or watch the demo:\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=XOxxPcy5Gr4\">Youtube<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This image translation AI makes use of a type of algorithm called a\u00a0generative adversarial network (GAN). In a GAN, two neural networks work together by essentially working against each other. One of the networks generates &#8230;<\/p>\n","protected":false},"author":1,"featured_media":239,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"amp_status":""},"categories":[4,20,40,35],"tags":[],"_links":{"self":[{"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/posts\/235"}],"collection":[{"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/comments?post=235"}],"version-history":[{"count":3,"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/posts\/235\/revisions"}],"predecessor-version":[{"id":238,"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/posts\/235\/revisions\/238"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/media\/239"}],"wp:attachment":[{"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/media?parent=235"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/categories?post=235"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nopixels.com\/me\/wp-json\/wp\/v2\/tags?post=235"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}