{"id":11513,"date":"2020-07-26T14:05:11","date_gmt":"2020-07-26T18:05:11","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=11513"},"modified":"2020-07-26T14:05:11","modified_gmt":"2020-07-26T18:05:11","slug":"challenges-of-comparing-human-and-machine-perception","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/challenges-of-comparing-human-and-machine-perception\/11513\/","title":{"rendered":"Challenges of Comparing Human and Machine Perception"},"content":{"rendered":"Originally published in The Gradient, July 6, 2020 Deep Neural Networks (DNNs) have become very successful in the domain of artificial intelligence. They have begun to directly influence our lives through image recognition, automated machine translation, precision medicine and many other solutions. Furthermore, there are many parallels between these modern artificial algorithms and biological brains: The two systems resemble each other in their function &#8211; for example, they can solve surprisingly complex tasks &#8211; and in their anatomical structure &#8211; for example, they contain many hierarchically structured neurons. Given these apparent similarities, many questions arise: How similar are <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/challenges-of-comparing-human-and-machine-perception\/11513\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in The Gradient, July 6, 2020 Deep Neural Networks (DNNs) have become very successful in the domain of artificial intelligence. They have begun to directly influence our lives through image recognition, automated machine translation, precision medicine and many other solutions. Furthermore, there are many parallels between these modern artificial algorithms and biological brains: [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-11513","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11513","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=11513"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11513\/revisions"}],"predecessor-version":[{"id":11516,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11513\/revisions\/11516"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=11513"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=11513"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=11513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}