{"id":13005,"date":"2023-04-27T09:19:45","date_gmt":"2023-04-27T13:19:45","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13005"},"modified":"2023-04-27T09:19:45","modified_gmt":"2023-04-27T13:19:45","slug":"a-new-approach-to-computation-reimagines-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/a-new-approach-to-computation-reimagines-artificial-intelligence\/13005\/","title":{"rendered":"A New Approach to Computation Reimagines Artificial Intelligence"},"content":{"rendered":"Originally published in QuantaMagazine, April 13, 2023. Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are \u201csuper power-hungry,\u201d said\u00a0Cornelia Ferm\u00fcller, a computer scientist at the University of Maryland. \u201cAnd the other issue is [their] lack of transparency.\u201d Such systems are so complicated that no one truly understands what they\u2019re doing, or why they work so well. This, in turn, makes it almost impossible to get them to reason by analogy, which is what humans do \u2014 using <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/a-new-approach-to-computation-reimagines-artificial-intelligence\/13005\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in QuantaMagazine, April 13, 2023. Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are \u201csuper power-hungry,\u201d said\u00a0Cornelia Ferm\u00fcller, a computer scientist at the University of Maryland. \u201cAnd the other issue is [their] [&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":[879,1292,368,1291,230,243,8],"class_list":["post-13005","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-anns","tag-artificial-intelligence","tag-artificial-neural-networks","tag-data-analytics","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13005","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=13005"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13005\/revisions"}],"predecessor-version":[{"id":13006,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13005\/revisions\/13006"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13005"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13005"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13005"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}