{"id":134577,"date":"2022-01-23T23:22:32","date_gmt":"2022-01-24T07:22:32","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/01\/one-step-closer-to-flexible-ai"},"modified":"2022-01-23T23:22:32","modified_gmt":"2022-01-24T07:22:32","slug":"one-step-closer-to-flexible-ai","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/01\/one-step-closer-to-flexible-ai","title":{"rendered":"One Step Closer to Flexible AI"},"content":{"rendered":"<p style=\"padding-right: 20px\"><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/one-step-closer-to-flexible-ai.jpg\"><\/a><\/p>\n<p>The Korea Advanced Institute of Science and Technology (KAIST) announced on Jan. 5 that professor Lee Sang-wan and his research team at its Department of Bio and Brain Engineering found a way to solve overfitting and underfitting in machine learning.<\/p>\n<p>Artificial intelligence models present optimal solutions to various problems. However, their situational flexibility is still at a very low level. On the other hand, people focus on given problems while responding flexibly to changing conditions and situations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Korea Advanced Institute of Science and Technology (KAIST) announced on Jan. 5 that professor Lee Sang-wan and his research team at its Department of Bio and Brain Engineering found a way to solve overfitting and underfitting in machine learning. Artificial intelligence models present optimal solutions to various problems. However, their situational flexibility is still [\u2026]<\/p>\n","protected":false},"author":556,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-134577","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/134577","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\/556"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=134577"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/134577\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=134577"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=134577"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=134577"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}