{"id":135075,"date":"2022-02-01T19:23:49","date_gmt":"2022-02-02T03:23:49","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/02\/this-ai-learned-the-design-of-a-million-algorithms-to-help-build-new-ais-faster"},"modified":"2022-02-01T19:23:49","modified_gmt":"2022-02-02T03:23:49","slug":"this-ai-learned-the-design-of-a-million-algorithms-to-help-build-new-ais-faster","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/02\/this-ai-learned-the-design-of-a-million-algorithms-to-help-build-new-ais-faster","title":{"rendered":"This AI Learned the Design of a Million Algorithms to Help Build New AIs Faster"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/this-ai-learned-the-design-of-a-million-algorithms-to-help-build-new-ais-faster2.jpg\"><\/a><\/p>\n<p>Might there be a better way? Perhaps.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2110.13100\">A new paper published on the preprint server arXiv<\/a> describes how a type of algorithm called a \u201chypernetwork\u201d could make the training process much more efficient. The hypernetwork in the study learned the internal connections (or parameters) of a million example algorithms so it could pre-configure the parameters of new, untrained algorithms.<\/p>\n<p>The AI, called GHN-2, can predict and set the parameters of an untrained neural network in a fraction of a second. And in most cases, the algorithms using GHN-2\u2019s parameters performed as well as algorithms that had cycled through thousands of rounds of training.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Might there be a better way? Perhaps. A new paper published on the preprint server arXiv describes how a type of algorithm called a \u201chypernetwork\u201d could make the training process much more efficient. The hypernetwork in the study learned the internal connections (or parameters) of a million example algorithms so it could pre-configure the parameters [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,6],"tags":[],"class_list":["post-135075","post","type-post","status-publish","format-standard","hentry","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/135075","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\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=135075"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/135075\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=135075"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=135075"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=135075"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}