{"id":143558,"date":"2022-08-04T04:22:44","date_gmt":"2022-08-04T09:22:44","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/08\/new-algorithm-aces-university-math-course-questions"},"modified":"2022-08-04T04:22:44","modified_gmt":"2022-08-04T09:22:44","slug":"new-algorithm-aces-university-math-course-questions","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/08\/new-algorithm-aces-university-math-course-questions","title":{"rendered":"New algorithm aces university math course questions"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/new-algorithm-aces-university-math-course-questions2.jpg\"><\/a><\/p>\n<p>Multivariable calculus, differential equations, linear algebra\u2014topics that many MIT students can ace without breaking a sweat\u2014have consistently stumped machine learning models. The best models have only been able to answer elementary or high school-level math questions, and they don\u2019t always find the correct solutions.<\/p>\n<p>Now, a multidisciplinary team of researchers from MIT and elsewhere, led by Iddo Drori, a lecturer in the MIT Department of Electrical Engineering and Computer Science (EECS), has used a <a href=\"https:\/\/techxplore.com\/tags\/neural+network+model\/\" rel=\"tag\" class=\"\">neural network model<\/a> to solve university-level math problems in a few seconds at a human level.<\/p>\n<p>The model also automatically explains solutions and rapidly generates new problems in university math subjects. When the researchers showed these machine-generated questions to <a href=\"https:\/\/techxplore.com\/tags\/university+students\/\" rel=\"tag\" class=\"\">university students<\/a>, the students were unable to tell whether the questions were generated by an algorithm or a human.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Multivariable calculus, differential equations, linear algebra\u2014topics that many MIT students can ace without breaking a sweat\u2014have consistently stumped machine learning models. The best models have only been able to answer elementary or high school-level math questions, and they don\u2019t always find the correct solutions. Now, a multidisciplinary team of researchers from MIT and elsewhere, led [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32,41,2229,6],"tags":[],"class_list":["post-143558","post","type-post","status-publish","format-standard","hentry","category-education","category-information-science","category-mathematics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/143558","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=143558"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/143558\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=143558"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=143558"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=143558"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}