{"id":11539,"date":"2020-07-30T08:34:17","date_gmt":"2020-07-30T12:34:17","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=11539"},"modified":"2020-07-30T08:34:17","modified_gmt":"2020-07-30T12:34:17","slug":"how-pixar-uses-ai-and-gans-to-create-high-resolution-content","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-pixar-uses-ai-and-gans-to-create-high-resolution-content\/11539\/","title":{"rendered":"How Pixar Uses AI and GANs To Create High-Resolution Content"},"content":{"rendered":"Originally published in VentureBeat, July 17, 2020. As digital animators continue to push the boundaries of technology and creativity, the technical teams that support them are turning to artificial intelligence and machine learning to deliver the tools they need. That\u2019s the case at Pixar, where the company has made new machine learning breakthroughs it hopes will both improve quality and reduce costs. Vaibhav Vavilala, technical director at Pixar Animation Studios, has been leading some of those efforts after carefully studying recent scientific literature and monitoring the work at the R&amp;D labs of parent company Disney. Vavilala said those <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-pixar-uses-ai-and-gans-to-create-high-resolution-content\/11539\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in VentureBeat, July 17, 2020. As digital animators continue to push the boundaries of technology and creativity, the technical teams that support them are turning to artificial intelligence and machine learning to deliver the tools they need. That\u2019s the case at Pixar, where the company has made new machine learning breakthroughs it hopes [&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":[879,59,368,1114,243],"class_list":["post-11539","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-analytics","tag-artificial-intelligence","tag-high-resolution","tag-machine-learning"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11539","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=11539"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11539\/revisions"}],"predecessor-version":[{"id":11541,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11539\/revisions\/11541"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=11539"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=11539"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=11539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}