{"id":451,"date":"2018-01-04T03:34:03","date_gmt":"2018-01-04T03:34:03","guid":{"rendered":"http:\/\/pages.charlotte.edu\/colloquium\/?p=451"},"modified":"2018-01-08T15:55:10","modified_gmt":"2018-01-08T15:55:10","slug":"friday-jan-12-1100am-1200noon-fretwell-315","status":"publish","type":"post","link":"https:\/\/pages.charlotte.edu\/colloquium\/blog\/2018\/01\/04\/friday-jan-12-1100am-1200noon-fretwell-315\/","title":{"rendered":"Friday, Jan 12, 11:00AM-12:00Noon, Fretwell 315"},"content":{"rendered":"<table width=\"637\">\n<tbody>\n<tr>\n<td>Dr. Roman Kazinnik, Data Scientist at Brighthouse Financial<\/td>\n<\/tr>\n<tr>\n<td>Title:<a name=\"m_-6758539435527812225_OLE_LINK4\"><\/a>Deep learning and\u00a0mathematical perspectives: historical developments and modern challenges<\/td>\n<\/tr>\n<tr>\n<td>Abstract: \u00a0<span style=\"font-size: inherit\">Artificial Intelligence (AI) is often viewed as a massive parallel optimization problem,\u00a0and has gained its popularity presumably due to the recent wide availability of parallel computing power. \u00a0<\/span><span style=\"font-size: inherit\">On one hand, AI departs from fundamental mathematical conceptions: it doesn&#8217;t prescribe any PDE when solving inverse problems, and AI learning algorithms do not care\u00a0about dense representations in functional space. However, there is a great deal of mathematical principles\u00a0that are in widely implemented by modern AI.\u00a0<\/span><\/p>\n<div dir=\"auto\"><\/div>\n<div>In this talk I am going to cover some of these techniques and principles that are deployed by AI, and familiar to the applied mathematicians. I will also show how a lack of rigorous underlying model presents, perhaps, one of the major challenges in deploying modern AI methodologies. I consider building such rigorous underlying modeling principles as one of the most interesting modern challenges applied mathematicians can find in AI.<\/div>\n<div class=\"yj6qo ajU\"><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dr. Roman Kazinnik, Data Scientist at Brighthouse Financial Title:Deep learning and\u00a0mathematical perspectives: historical developments and modern challenges Abstract: \u00a0Artificial Intelligence (AI) is often viewed as a massive parallel optimization problem,\u00a0and has gained its popularity presumably due to the recent wide availability of parallel computing power. \u00a0On one hand, AI departs from fundamental mathematical conceptions: it [&hellip;]<\/p>\n","protected":false},"author":333,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-451","post","type-post","status-publish","format-standard","hentry","category-spring-2022"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p3kCtT-7h","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/451","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/users\/333"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/comments?post=451"}],"version-history":[{"count":3,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/451\/revisions"}],"predecessor-version":[{"id":456,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/451\/revisions\/456"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/media?parent=451"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/categories?post=451"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/tags?post=451"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}