{"id":695877,"date":"2020-09-22T16:30:36","date_gmt":"2020-09-22T23:30:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=695877"},"modified":"2020-10-04T16:27:33","modified_gmt":"2020-10-04T23:27:33","slug":"ai-breakthroughs-2020-research-talks-qa-panel","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/ai-breakthroughs-2020-research-talks-qa-panel\/","title":{"rendered":"Microsoft Research AI Breakthroughs 2020: 20 minute research talks + Q&A panel"},"content":{"rendered":"<p>20 minute research talks + Q&A panel<\/p>\n<ul>\n<li>(0:59) Debadeepta Dey: Efficient Forward Neural Architecture Search<\/li>\n<li>(15:45) Subho Mukherjee: Resource-efficient Learning for Neural Language Understanding at Scale<\/li>\n<li>(32:50) Jina Suh: Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications<\/li>\n<li>(51:10) Alekh Agarwal: Reinforcement Learning at Research at Redmond<\/li>\n<li>(1:14:15) Q&A Panel<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>20 minute research talks + Q&A panel (0:59) Debadeepta Dey: Efficient Forward Neural Architecture Search (15:45) Subho Mukherjee: Resource-efficient Learning for Neural Language Understanding at Scale (32:50) Jina Suh: Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications (51:10) Alekh Agarwal: Reinforcement Learning at Research at Redmond (1:14:15) Q&A Panel<\/p>\n","protected":false},"featured_media":695880,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-695877","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/e-11Q0A4QzE","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/695877"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/695877\/revisions"}],"predecessor-version":[{"id":695928,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/695877\/revisions\/695928"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/695880"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=695877"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=695877"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=695877"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=695877"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=695877"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=695877"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}