{"id":12553,"date":"2022-04-05T13:01:19","date_gmt":"2022-04-05T17:01:19","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12553"},"modified":"2022-04-05T13:01:19","modified_gmt":"2022-04-05T17:01:19","slug":"toward-a-broad-ai","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/toward-a-broad-ai\/12553\/","title":{"rendered":"Toward a Broad AI"},"content":{"rendered":"Originally published in Communications of the ACM, April 2022, Vol. 65 No. 4, Pages 56-57 Despite big successes in artificial intelligence (AI) and deep learning, there have been critical assessments made to current deep learning methods.8\u00a0Deep learning is data hungry, has limited knowledge transfer capabilities, does not quickly adapt to changing tasks or distributions, and insufficiently incorporates world or prior knowledge.1,3,8,14\u00a0While deep learning excels in natural language processing and vision benchmarks, it often underperforms at real-world applications. Deep learning models were shown to fail at new data, new applications, deployments in the wild, and stress tests.4,5,7,13,15\u00a0Therefore, practitioners harbor <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/toward-a-broad-ai\/12553\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Communications of the ACM, April 2022, Vol. 65 No. 4, Pages 56-57 Despite big successes in artificial intelligence (AI) and deep learning, there have been critical assessments made to current deep learning methods.8\u00a0Deep learning is data hungry, has limited knowledge transfer capabilities, does not quickly adapt to changing tasks or distributions, and [&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":[],"class_list":["post-12553","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12553","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=12553"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12553\/revisions"}],"predecessor-version":[{"id":12555,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12553\/revisions\/12555"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12553"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12553"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12553"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}