{"id":187248,"date":"2024-04-12T06:24:06","date_gmt":"2024-04-12T11:24:06","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/04\/unlocking-ais-black-box-new-formula-explains-how-they-detect-relevant-patterns"},"modified":"2024-04-12T06:24:06","modified_gmt":"2024-04-12T11:24:06","slug":"unlocking-ais-black-box-new-formula-explains-how-they-detect-relevant-patterns","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/04\/unlocking-ais-black-box-new-formula-explains-how-they-detect-relevant-patterns","title":{"rendered":"Unlocking AI\u2019s Black Box: New Formula Explains How They Detect Relevant Patterns"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/unlocking-ais-black-box-new-formula-explains-how-they-detect-relevant-patterns2.jpg\"><\/a><\/p>\n<p>A UC San Diego team has uncovered a method to decipher neural networks\u2019 learning process, using a statistical formula to clarify how features are learned, a breakthrough that promises more understandable and efficient AI systems. Credit: <a href=\"http:\/\/SciTechDaily.com\">SciTechDaily.com<\/a>.<\/p>\n<p>Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team led by data and computer scientists at the <a href=\"https:\/\/scitechdaily.com\/tag\/ucsd\/\">University of California San Diego<\/a> has given neural networks the equivalent of an X-ray to uncover how they actually learn.<\/p>\n<p>The researchers found that a formula used in statistical analysis provides a streamlined mathematical description of how neural networks, such as GPT-2, a precursor to ChatGPT, learn relevant patterns in data, known as features. This formula also explains how neural networks use these relevant patterns to make predictions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A UC San Diego team has uncovered a method to decipher neural networks\u2019 learning process, using a statistical formula to clarify how features are learned, a breakthrough that promises more understandable and efficient AI systems. Credit: SciTechDaily.com. Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45,2229,6],"tags":[],"class_list":["post-187248","post","type-post","status-publish","format-standard","hentry","category-finance","category-mathematics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/187248","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=187248"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/187248\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=187248"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=187248"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=187248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}