{"id":13440,"date":"2024-03-08T16:17:20","date_gmt":"2024-03-08T21:17:20","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13440"},"modified":"2024-03-08T16:17:20","modified_gmt":"2024-03-08T21:17:20","slug":"balancing-training-data-and-human-knowledge-to-make-ai-act-more-like-a-scientist","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/balancing-training-data-and-human-knowledge-to-make-ai-act-more-like-a-scientist\/13440\/","title":{"rendered":"Balancing Training Data and Human Knowledge to Make AI Act More Like a Scientist"},"content":{"rendered":"Originally published in Tech Xplore, March 8, 2024.\u00a0 When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training\u2014such as the laws of physics\u2014could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task. Researchers\u00a0report\u00a0March 8 in the journal\u00a0Nexus\u00a0that they have developed a\u00a0framework\u00a0for assessing the relative value of rules and data in &#8220;informed\u00a0machine <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/balancing-training-data-and-human-knowledge-to-make-ai-act-more-like-a-scientist\/13440\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Tech Xplore, March 8, 2024.\u00a0 When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training\u2014such as the laws of physics\u2014could make them [&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":[879,1299,368,791,243],"class_list":["post-13440","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-ai-models","tag-artificial-intelligence","tag-deep-learning","tag-machine-learning"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13440","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=13440"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13440\/revisions"}],"predecessor-version":[{"id":13441,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13440\/revisions\/13441"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13440"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13440"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13440"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}