{"id":171210,"date":"2023-09-03T22:24:12","date_gmt":"2023-09-04T03:24:12","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/09\/better-paths-yield-better-ai-enhancing-pre-existing-architectures"},"modified":"2023-09-03T22:24:12","modified_gmt":"2023-09-04T03:24:12","slug":"better-paths-yield-better-ai-enhancing-pre-existing-architectures","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/09\/better-paths-yield-better-ai-enhancing-pre-existing-architectures","title":{"rendered":"Better paths yield better AI: Enhancing pre-existing architectures"},"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\/b8vVDHYmmHE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>Deep Learning (DL) performs classification tasks using a series of layers. To effectively execute these tasks, local decisions are performed progressively along the layers. But can we perform an all-encompassing decision by choosing the most influential path to the output rather than performing these decisions locally?<\/p>\n<p>In an article published today in <i>Scientific Reports<\/i>, researchers from Bar-Ilan University in Israel answer this question with a resounding \u201cyes.\u201d Pre-existing deep architectures have been improved by updating the most influential paths to the output.<\/p>\n<p>\u201cOne can think of it as two children who wish to climb a mountain with many twists and turns. One of them chooses the fastest local route at every intersection while the other uses binoculars to see the entire <a href=\"https:\/\/techxplore.com\/tags\/path\/\" rel=\"tag\" class=\"\">path<\/a> ahead and picks the shortest and most significant route, just like Google Maps or Waze. The first child might get a <a href=\"https:\/\/techxplore.com\/tags\/head+start\/\" rel=\"tag\" class=\"\">head start<\/a>, but the second will end up winning,\u201d said Prof. Ido Kanter, of Bar-Ilan\u2019s Department of Physics and Gonda (Goldschmied) Multidisciplinary Brain Research Center, who led the research.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deep Learning (DL) performs classification tasks using a series of layers. To effectively execute these tasks, local decisions are performed progressively along the layers. But can we perform an all-encompassing decision by choosing the most influential path to the output rather than performing these decisions locally? In an article published today in Scientific Reports, researchers [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1965,6],"tags":[],"class_list":["post-171210","post","type-post","status-publish","format-standard","hentry","category-mapping","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/171210","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\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=171210"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/171210\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=171210"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=171210"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=171210"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}