{"id":178362,"date":"2023-12-15T09:23:29","date_gmt":"2023-12-15T15:23:29","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/12\/deepmind-ai-outdoes-human-mathematicians-on-unsolved-problem"},"modified":"2023-12-15T09:23:29","modified_gmt":"2023-12-15T15:23:29","slug":"deepmind-ai-outdoes-human-mathematicians-on-unsolved-problem","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/12\/deepmind-ai-outdoes-human-mathematicians-on-unsolved-problem","title":{"rendered":"DeepMind AI outdoes human mathematicians on unsolved problem"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/deepmind-ai-outdoes-human-mathematicians-on-unsolved-problem2.jpg\"><\/a><\/p>\n<p>For the first time ever, researchers show how a large language model can help discover novel solutions to long-standing problems in math and computer science.<\/p>\n<hr>\n<p>The card game Set has long inspired mathematicians to create interesting problems.<\/p>\n<p>Now, a technique based on large language models (LLMs) is showing that artificial intelligence (AI) can help mathematicians to generate new solutions.<\/p>\n<p>The AI system, called FunSearch, made progress on Set-inspired problems in combinatorics, a field of mathematics that studies how to count the possible arrangements of sets containing finitely many objects. But its inventors say that the method, described in <i>Nature<\/i> on 14 December<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-023-04043-w#ref-CR1\">1<\/a><\/sup>, could be applied to a variety of questions in maths and computer science.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>For the first time ever, researchers show how a large language model can help discover novel solutions to long-standing problems in math and computer science. The card game Set has long inspired mathematicians to create interesting problems. Now, a technique based on large language models (LLMs) is showing that artificial intelligence (AI) can help mathematicians [\u2026]<\/p>\n","protected":false},"author":709,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2229,6],"tags":[],"class_list":["post-178362","post","type-post","status-publish","format-standard","hentry","category-mathematics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/178362","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=178362"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/178362\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=178362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=178362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=178362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}