{"id":190599,"date":"2024-06-04T14:25:01","date_gmt":"2024-06-04T19:25:01","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/06\/introducing-generative-physical-ai"},"modified":"2024-06-04T14:25:01","modified_gmt":"2024-06-04T19:25:01","slug":"introducing-generative-physical-ai","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/06\/introducing-generative-physical-ai","title":{"rendered":"Introducing Generative Physical AI"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/AYSfcgVv9-U?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p><a href=\"https:\/\/twitter.com\/NVIDIAOmniverse\">@NVIDIAOmniverse<\/a> is a development platform for virtual world simulation, combining real-time physically based rendering, physics simulation, and generative AI technologies.<\/p>\n<p>In Omniverse, robots can learn to be robots \u2013 minimizing the sim-to-real gap, and maximizing the transfer of learned behavior.<\/p>\n<p>Building robots with generative physical AI requires three computers:<\/p>\n<p>- NVIDIA AI supercomputers to train the models.<br \/> - NVIDIA Jetson Orin, and next generation Jetson Thor robotics supercomputer, to run the models.<br \/> - And NVIDIA Omniverse, where robots can learn and refine their skills in simulated worlds.<\/p>\n<p>Read the press release.<\/p>\n<p>#OpenUSD #Robotics #COMPUTEX2024 #IsaacSim<\/p>\n<div class=\"more-link-wrapper\"> <a class=\"more-link\" href=\"https:\/\/lifeboat.com\/blog\/2024\/06\/introducing-generative-physical-ai\">Continue reading \u201cIntroducing Generative Physical AI\u201d | &gt;<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>@NVIDIAOmniverse is a development platform for virtual world simulation, combining real-time physically based rendering, physics simulation, and generative AI technologies. In Omniverse, robots can learn to be robots \u2013 minimizing the sim-to-real gap, and maximizing the transfer of learned behavior. Building robots with generative physical AI requires three computers: \u2014 NVIDIA AI supercomputers to train [\u2026]<\/p>\n","protected":false},"author":513,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[219,6,44],"tags":[],"class_list":["post-190599","post","type-post","status-publish","format-standard","hentry","category-physics","category-robotics-ai","category-supercomputing"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/190599","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\/513"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=190599"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/190599\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=190599"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=190599"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=190599"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}