{"613007":{"#nid":"613007","#data":{"type":"news","title":"TRIAD Hosts Deep Learning Workshop","body":[{"value":"\u003Cp\u003EEarlier this month, TRIAD, the Transdisciplinary Research Institute for Advancing Data Science at Georgia Tech, hosted a workshop on the Theoretical Foundation of Deep Learning for over 100 participants from both academia and industry.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeep learning has been a major driving force in the recent surge of interest in artificial intelligence (AI) and machine learning. While deep learning has resulted in tremendous empirical success, the theoretical understanding of deep learning remains an important research field rife with opportunity.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In other words, understanding why and how AI works or doesn\u0026rsquo;t work is not clear,\u0026rdquo; said Xiaoming Huo, a professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) and executive director of TRIAD.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The theory needs significant development, so the workshop brought together people who have been working on this problem and enabled them to exchange ideas,\u0026rdquo; he noted.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe workshop\u0026rsquo;s interdisciplinary focus was reflected in both the diversity of speakers, including experts in fields ranging from statistics and optimization to computer science and applied mathematics, and its sponsors, which included ISyE; Georgia Tech\u0026rsquo;s colleges of Computing, Engineering, and Sciences; Hong Kong University of Science and Technology\u0026rsquo;s Big Data Institute; the Statistical and Applied Mathematical Sciences Institute (SAMSI); and the American Statistical Association (ASA).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPromising ideas on the theoretical foundation of deep learning have emerged, and the TRIAD workshop provided an avenue for researchers in related fields to review existing work, communicate new results, and seek new research directions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbout TRIAD\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETRIAD is a cross-disciplinary institute that was established in 2017 as part of the National Science Foundation\u0026rsquo;s TRIPODS (Transdisciplinary Research in Principles of Data Science) program. TRIAD unites statistics, mathematics, and theoretical computer science to further develop the foundations of data science. TRIAD brings together senior, mid-career, and junior faculty members, postdoctoral fellows, graduate and undergraduate students, all from Tech\u0026rsquo;s colleges of Computing, Engineering, and Sciences, and data science practitioners-at-large using focused working groups, national and international workshops, and organized innovation labs.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe theoretical understanding of deep learning remains an important research field rife with opportunity.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The theoretical understanding of deep learning remains an important research field rife with opportunity."}],"uid":"28766","created_gmt":"2018-10-19 14:15:53","changed_gmt":"2019-01-18 23:33:22","author":"Shelley Wunder-Smith","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-10-19T00:00:00-04:00","iso_date":"2018-10-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"613005":{"id":"613005","type":"image","title":"Poster Session at the TRIAD Workshop","body":null,"created":"1539957834","gmt_created":"2018-10-19 14:03:54","changed":"1540237331","gmt_changed":"2018-10-22 19:42:11","alt":"Poster Session at the TRIAD Workshop","file":{"fid":"233377","name":"TRIAD Workshop Square.jpg","image_path":"\/sites\/default\/files\/images\/TRIAD%20Workshop%20Square.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/TRIAD%20Workshop%20Square.jpg","mime":"image\/jpeg","size":524951,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/TRIAD%20Workshop%20Square.jpg?itok=TBSLZYwE"}},"613006":{"id":"613006","type":"image","title":"Professor Xiaoming Huo","body":null,"created":"1539958239","gmt_created":"2018-10-19 14:10:39","changed":"1539958239","gmt_changed":"2018-10-19 14:10:39","alt":"Professor Xiaoming Huo","file":{"fid":"233378","name":"Huo Xiaoming - Bust.jpg","image_path":"\/sites\/default\/files\/images\/Huo%20Xiaoming%20-%20Bust.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/Huo%20Xiaoming%20-%20Bust.jpg","mime":"image\/jpeg","size":1009545,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Huo%20Xiaoming%20-%20Bust.jpg?itok=XbHtM8wi"}}},"media_ids":["613005","613006"],"related_links":[{"url":"http:\/\/pwp.gatech.edu\/fdl-2018\/","title":"Theoretical Foundation of Deep Learning 2018 website"}],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"},{"id":"1243","name":"The Supply Chain and Logistics Institute (SCL)"},{"id":"602673","name":"TRIAD "}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:swundersmith3@gatech.edu\u0022\u003EShelley Wunder-Smith\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E404.385.4745\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["swundersmith3@gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}