{"id":184727,"date":"2024-03-09T03:14:32","date_gmt":"2024-03-09T09:14:32","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/03\/researchers-reach-new-ai-benchmark-for-computer-graphics"},"modified":"2024-03-09T03:14:32","modified_gmt":"2024-03-09T09:14:32","slug":"researchers-reach-new-ai-benchmark-for-computer-graphics","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/03\/researchers-reach-new-ai-benchmark-for-computer-graphics","title":{"rendered":"Researchers reach new AI benchmark for computer graphics"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/researchers-reach-new-ai-benchmark-for-computer-graphics2.jpg\"><\/a><\/p>\n<p>Computer graphic simulations can represent natural phenomena such as tornados, underwater, vortices, and liquid foams more accurately thanks to an advancement in creating artificial intelligence (AI) neural networks.<\/p>\n<p>Working with a multi-institutional team of researchers, Georgia Tech Assistant Professor Bo Zhu combined computer graphic simulations with machine learning models to create enhanced simulations of known phenomena. The new benchmark could lead to researchers constructing representations of other phenomena that have yet to be simulated.<\/p>\n<p>Zhu co-authored the paper \u201cFluid Simulation on Neural Flow Maps.\u201d The Association for Computing Machinery\u2019s Special Interest Group in Computer Graphics and Interactive Technology <a href=\"https:\/\/www.siggraph.org\/\">(SIGGRAPH)<\/a> gave it a best paper award in December at the SIGGRAPH Asia conference in Sydney, Australia.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computer graphic simulations can represent natural phenomena such as tornados, underwater, vortices, and liquid foams more accurately thanks to an advancement in creating artificial intelligence (AI) neural networks. Working with a multi-institutional team of researchers, Georgia Tech Assistant Professor Bo Zhu combined computer graphic simulations with machine learning models to create enhanced simulations of known [\u2026]<\/p>\n","protected":false},"author":709,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[493,1965,6],"tags":[],"class_list":["post-184727","post","type-post","status-publish","format-standard","hentry","category-climatology","category-mapping","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/184727","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\/709"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=184727"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/184727\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=184727"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=184727"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=184727"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}