{"id":355304,"date":"2017-03-02T01:48:28","date_gmt":"2017-03-02T09:48:28","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&#038;p=355304"},"modified":"2018-07-25T15:12:39","modified_gmt":"2018-07-25T22:12:39","slug":"ai-summer-school-2017","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/ai-summer-school-2017\/","title":{"rendered":"AI Summer School 2017"},"content":{"rendered":"<p><strong>Links :<\/strong><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/phd-scholarship-europe-middle-east-africa\/\"><span style=\"color: #0060ac;\">Microsoft Research PhD Scholarship Programme<\/span><\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/collaborative-ai-challenge\/\">The Malmo Collaborative AI Challenge<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/phd-summer-school-2016\/\">PhD Summer School 2016<\/a><\/p>\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-cambridge\/\">Microsoft Research Cambridge<\/a><\/p>\n<p><strong>This event is by invitation only.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The AI Summer School continued the tradition of the annual PhD Summer Schools that have been taking place at MSR Cambridge for the past 11 years. <\/p>\n","protected":false},"featured_media":367649,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2017-07-03","msr_enddate":"2017-07-06","msr_location":"Microsoft Research Cambridge UK","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13556],"msr-region":[239178],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-355304","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-europe","msr-event-type-hosted-by-microsoft","msr-locale-en_us"],"msr_about":"<strong>Links :<\/strong>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/phd-scholarship-europe-middle-east-africa\/\"><span style=\"color: #0060ac;\">Microsoft Research PhD Scholarship Programme<\/span><\/a>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/collaborative-ai-challenge\/\">The Malmo Collaborative AI Challenge<\/a>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/event\/phd-summer-school-2016\/\">PhD Summer School 2016<\/a>\r\n\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-cambridge\/\">Microsoft Research Cambridge<\/a>\r\n\r\n<strong>This event is by invitation only.<\/strong>","tab-content":[{"id":0,"name":"About","content":"<img class=\"alignnone wp-image-366191\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/2017_ss_logo-1024x335.png\" width=\"500\" height=\"163\" \/>\r\n\r\nThe AI Summer School continued the tradition of the annual PhD Summer Schools that have been taking place at MSR Cambridge for the past 11 years. The 2017 School focussed on the topic of AI. 93 postgraduate students gathered in the Cambridge Lab in the week of\u00a03 July 2017 to hear about AI, learn general research skills, get to know the MSR Cambridge Lab, and enjoy the opportunity to network and socialize with well-known people in the field as well as getting to know their peers from Universities across Europe and beyond.\r\n\r\nInvited students included PhD students in their first or second year from universities and research institutions with which Microsoft Research partners, as well as winners of <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/collaborative-ai-challenge\/\">the Malmo Collaborative AI Challenge <\/a>and\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/phd-scholarship-europe-middle-east-africa\/\"><span style=\"color: #0060ac\">Microsoft Research PhD Scholars<\/span><\/a>.\r\n<h3>Confirmed\u00a0External Speakers<\/h3>\r\n<ul>\r\n \t<li>Zoubin Ghahramani, Professor, University of Cambridge<\/li>\r\n \t<li>Rebecca Fiebrink, Lecturer, Goldsmiths University of London<\/li>\r\n \t<li>Martin Jaggi, Assistant Professor, EPFL<\/li>\r\n \t<li>Anab Jain, Superflux<\/li>\r\n \t<li>Iain Murray, Reader, University of Edinburgh<\/li>\r\n \t<li>Doina Precup, Associate Professor, McGill University<\/li>\r\n \t<li>Thomas Ristenpart, Associate Professor, Cornell Tech<span lang=\"EN-US\"><span style=\"color: #000000;font-family: Calibri\">\u00a0<\/span><\/span><\/li>\r\n \t<li>John Schulman, OpenAI<\/li>\r\n \t<li>Yee Whye Teh, Professor, University of Oxford<\/li>\r\n \t<li>Shimon Whiteson, Associate Professor, University of Oxford<\/li>\r\n \t<li>Steve Young, Professor, University of Cambridge<\/li>\r\n<\/ul>\r\n<h3>Confirmed\u00a0Microsoft\u00a0Speakers<\/h3>\r\n<ul>\r\n \t<li>Christopher Bishop, Distinguished Scientist and Lab Director, Microsoft Research<\/li>\r\n \t<li>Dan Bohus, Senior Researcher, Microsoft Research<\/li>\r\n \t<li>Antonio Criminisi, Principal Researcher, Microsoft Research<\/li>\r\n \t<li>Jasmin Fisher, Senior Researcher, Microsoft Research<\/li>\r\n \t<li>Katja Hofmann, Researcher, Microsoft Research<\/li>\r\n \t<li>Olya Ohrimenko, Researcher, Microsoft Research<\/li>\r\n \t<li>Simon Peyton Jones, Principal Researcher, Microsoft Research<\/li>\r\n \t<li>Jamie Shotton, Partner Scientist Lead, Microsoft<\/li>\r\n \t<li>Kenji Takeda, Director, Microsoft Research<\/li>\r\n \t<li>Alex Taylor, Researcher, Microsoft Research<\/li>\r\n<\/ul>\r\n<h3>About the Microsoft Research PhD Scholarship Programme<\/h3>\r\nThe Microsoft Research PhD Scholarship Programme was developed in 2004 to support research collaborations between academics in the Europe, Middle East, and Africa (EMEA) region with Microsoft Research researchers in the Cambridge Lab. Currently, there are approximately 100 students working at universities and research organizations across the whole region on peer-reviewed projects and in collaboration with their Microsoft Research Cambridge co-supervisors.\r\n<h3>Organisers<\/h3>\r\n<table style=\"height: 381px;border-collapse: collapse;border-spacing: inherit\" width=\"700\" cellpadding=\"10\">\r\n<tbody>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">\r\n<h4><strong>Scientific Chair<\/strong><\/h4>\r\n<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">\r\n\r\n[caption id=\"attachment_367514\" align=\"alignnone\" width=\"150\"]<img class=\"avatar avatar-180 photo msr-profile-image\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/Chris-Bishop-June-2015-Image-2-150x150.jpg\" alt=\"Christopher Bishop, MSR Cambridge\" width=\"150\" height=\"150\" \/> Christopher Bishop, MSR Cambridge[\/caption]<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">\r\n<h4><strong>Scientific Committee<\/strong><\/h4>\r\n<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">\r\n\r\n[caption id=\"attachment_367520\" align=\"alignleft\" width=\"150\"]<img class=\"avatar avatar-180 photo msr-profile-image\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/Manuel-Costa-150x150.jpg\" alt=\"Manuel Costa, MSR Cambridge\" width=\"150\" height=\"150\" \/> Manuel Costa, MSR Cambridge[\/caption]\r\n\r\n[caption id=\"attachment_367517\" align=\"alignleft\" width=\"150\"]<img class=\"avatar avatar-180 photo msr-profile-image\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/Katja-Hofmann-150x150.jpg\" alt=\"Katja Hofmann, MSR Cambridge\" width=\"150\" height=\"150\" \/> Katja Hofmann, MSR Cambridge[\/caption]\r\n\r\n[caption id=\"attachment_367511\" align=\"alignleft\" width=\"150\"]<img class=\"avatar avatar-180 photo msr-profile-image\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/Cecily-Morrison-150x150.jpg\" alt=\"Cecily Morrison, MSR Cambridge\" width=\"150\" height=\"150\" \/> Cecily Morrison, MSR Cambridge[\/caption]\r\n\r\n[caption id=\"attachment_367532\" align=\"alignleft\" width=\"150\"]<img class=\"avatar avatar-180 photo msr-profile-image\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/Sebastian-Nowozin-150x150.jpg\" alt=\"Sebastian Nowozin, MSR Cambridge\" width=\"150\" height=\"150\" \/> Sebastian Nowozin, MSR Cambridge[\/caption]\r\n\r\n[caption id=\"attachment_367526\" align=\"alignleft\" width=\"150\"]<img class=\"avatar avatar-180 photo msr-profile-image\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/Ryota-Tomioka-150x150.jpg\" alt=\"Ryota Tomioka, MSR Cambridge\" width=\"150\" height=\"150\" \/> Ryota Tomioka, MSR Cambridge[\/caption]<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">\r\n<h4><strong>General Chair<\/strong><\/h4>\r\n<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">\r\n\r\n[caption id=\"\" align=\"alignnone\" width=\"150\"]<img class=\"avatar avatar-180 photo msr-profile-image\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/Scarlet-Schwiderski-Grosche-150x150.jpg\" alt=\"Scarlet Schwiderski-Grosche, MSR Cambridge\" width=\"150\" height=\"150\" \/> Scarlet Schwiderski-Grosche, MSR Cambridge[\/caption]<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">\r\n<h4><strong>Logistics Chair<\/strong><\/h4>\r\n<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 10px;border: inherit\">\r\n\r\n[caption id=\"\" align=\"alignnone\" width=\"150\"]<img class=\"avatar avatar-180 photo msr-profile-image\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/Sue-Flanders-150x150.jpg\" alt=\"Sue Flanders, MSR Cambridge\" width=\"150\" height=\"150\" \/> Sue Flanders, MSR Cambridge[\/caption]<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"},{"id":1,"name":"Agenda","content":"<h2>\u00a0Monday July 3<\/h2>\r\n<table class=\" msr-table-schedule all-borders\" style=\"width: 100%;border-collapse: separate;border-spacing: 2px\" cellspacing=\"2\" cellpadding=\"2\">\r\n<tbody>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit;width: 10%\">\u00a0Time<\/td>\r\n<td style=\"padding: 2px;border: inherit;width: 55%\">\u00a0Session<\/td>\r\n<td style=\"padding: 2px;border: inherit;width: 35%\">\u00a0Speaker<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a012:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">Registration and Lunch<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a013:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><strong>Welcome to Microsoft Research<\/strong><\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cmbishop\/#\">Christopher Bishop<\/a>, Microsoft Research<\/div>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/scarlets\/#\">Scarlet Schwiderski-Grosche<\/a>, Microsoft Research\r\n\r\n<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">14:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><strong>AI and Healthcare<\/strong><\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cmbishop\/#\">Christopher Bishop<\/a>, Microsoft Research<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">15:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">Afternoon Break<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">15:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\"><strong>Session \"Language\"<\/strong><\/div>\r\n<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<h5>Chair<\/h5>\r\n<div><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jwinn\/#\">John Winn<\/a>, Microsoft Research<\/div>\r\n<\/div>\r\n<h5>Speakers<\/h5>\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/dbohus\/#\">Dan Bohus<\/a>, Microsoft Research<\/div>\r\n<div class=\"msr-table-schedule-cell\"><a href=\"http:\/\/mi.eng.cam.ac.uk\/~sjy\/\">Steve Young<\/a>, University of Cambridge<\/div>\r\n<\/div>\r\n<div class=\"msr-table-schedule-cell\"><\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">17:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\"><strong>Policy Gradient Methods: Tutorial and New Frontiers<\/strong><\/div>\r\n<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"http:\/\/joschu.net\/\">John Schulman<\/a>, OpenAI<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">18:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\">Welcome Reception<\/div>\r\n<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">21:00<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\">Coach Transfer: Microsoft Research to Selwyn College<\/div>\r\n<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n&nbsp;\r\n<h2>Tuesday July 4<\/h2>\r\n<table class=\" msr-table-schedule all-borders\" style=\"width: 100%;border-collapse: separate;border-spacing: 2px\" cellspacing=\"2\" cellpadding=\"2\">\r\n<tbody>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit;width: 10%\">\u00a0Time<\/td>\r\n<td style=\"padding: 2px;border: inherit;width: 55%\">\u00a0Session<\/td>\r\n<td style=\"padding: 2px;border: inherit;width: 35%\">\u00a0Speaker<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a008:45<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">Coach Transfer: Selwyn to Microsoft Research and Sign In of All Attendees<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">09:30<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><strong>How to Write a Great Research Paper<\/strong><\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/simonpj\/\">Simon Peyton Jones<\/a>, Microsoft Research<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">10:30<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">Morning Break<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a011:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<strong>Session \"Security\"<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<h5>Chair<\/h5>\r\n<div><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/oohrim\/#\">Olya Ohrimenko<\/a>, Microsoft Research<\/div>\r\n<\/div>\r\n<h5>Speakers<\/h5>\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/oohrim\/#\">Olya Ohrimenko<\/a>, Microsoft Research<\/div>\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/rist.tech.cornell.edu\/\">Thomas Ristenpart<\/a>,\u00a0Cornell Tech<\/div>\r\n<\/div>\r\n<div><\/div>\r\n<div class=\"msr-table-schedule-cell\"><\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a012:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0Lunch<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a013:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><strong>\u00a0Session \"Health\"<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<h5>Chair<\/h5>\r\n<div><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kenjitak\/\">Kenji Takeda<\/a>, Microsoft Research<\/div>\r\n<\/div>\r\n<h5>Speakers<\/h5>\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/antcrim\/#\">Antonio Criminisi<\/a>, Microsoft Research<\/div>\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kenjitak\/\">Kenji Takeda<\/a>, Microsoft Research<\/div>\r\n<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a015:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0Afternoon Break<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a015:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<strong>How to Give a Great Research Talk<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/simonpj\/\">Simon Peyton Jones<\/a>, Microsoft Research<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a016:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<strong>Demofest<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">18:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">Coach Transfer: Microsoft Research to Selwyn College\r\n(for those not participating in Evening Activity)<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">18:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\u00a0<strong>Azure Session <\/strong>(optional attendance)\r\n<em>Note: there will be no transportation available to Selwyn College at the end of this Evening Activity<\/em><\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">Led by <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kenjitak\/\">Kenji Takeda<\/a>, Microsoft Research<\/div><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n&nbsp;\r\n<h2>Wednesday July 5<\/h2>\r\n<table class=\" msr-table-schedule all-borders\" style=\"width: 100%;border-collapse: separate;border-spacing: 2px\" cellspacing=\"2\" cellpadding=\"2\">\r\n<tbody>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit;width: 10%\">\u00a0Time<\/td>\r\n<td style=\"padding: 2px;border: inherit;width: 55%\">\u00a0Session<\/td>\r\n<td style=\"padding: 2px;border: inherit;width: 35%\">\u00a0Speaker<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a008:15<\/td>\r\n<td style=\"padding: 2px;border: inherit\">Coach Transfer: Selwyn to Microsoft Research and Sign In of All Attendees<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a009:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<strong>HoloLens: Computer Vision meets Mixed Reality<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jamiesho\/\">Jamie Shotton<\/a>, Microsoft Research<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a010:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0Morning Break<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a010:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<strong>Session \"Design - On the Human Side\u00a0\"<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<h5>Chair<\/h5>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/cecilym\/#\">Cecily Morrison<\/a>, Microsoft Research\r\n<h5>Speakers<\/h5>\r\n<a href=\"http:\/\/www.doc.gold.ac.uk\/~mas01rf\/Rebecca_Fiebrink_Goldsmiths\/welcome.html\">Rebecca Fiebrink<\/a>, Goldsmiths University of London\r\n\r\n<a href=\"https:\/\/www.linkedin.com\/in\/anabjain\/?ppe=1\">Anab Jain<\/a>, Superflux\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ast\/#\">Alex Taylor<\/a>, Microsoft Research<\/div>\r\n<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a012:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0Design Exhibition and Lunch<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a013:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<strong>Probabilistic Machine Learning and AI<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"http:\/\/mlg.eng.cam.ac.uk\/zoubin\/\">Zoubin Ghahramani<\/a>, University of Cambridge<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">14:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><strong>Cancer AI<\/strong><\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jfisher\/\">Jasmin Fisher<\/a>, Microsoft Research<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a015:15<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0Afternoon Break<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">15:45<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\"><strong>Session \"Optimisation\"<\/strong><\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<h5>Chair<\/h5>\r\n<div><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/senowozi\/#\">Sebastian Nowozin<\/a>, Microsoft Research<\/div>\r\n<\/div>\r\n<h5>Speakers<\/h5>\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"http:\/\/people.inf.ethz.ch\/jaggim\/\">Martin Jaggi<\/a>, EPFL<\/div>\r\n<div class=\"msr-table-schedule-cell\"><a href=\"http:\/\/homepages.inf.ed.ac.uk\/imurray2\/\">Iain Murray<\/a>, University of Edinburgh<\/div>\r\n<div><a href=\"http:\/\/www.stats.ox.ac.uk\/~teh\/\">Yee Whye Teh<\/a>, University of Oxford<\/div>\r\n<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a017:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n\r\n<strong><strong>\u00a0<\/strong><\/strong>Walk to Downing College for Evening Dinner\r\n\r\n<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">18:15<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n\r\n<strong><strong>\u00a0<\/strong><\/strong>Drinks and Group Photo\r\n\r\n<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a019:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n\r\n<strong><strong>\u00a0<\/strong><\/strong>Formal Dinner at Downing College\r\n\r\n<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a022:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n\r\n<strong><strong><strong>\u00a0<\/strong><\/strong><\/strong>Coach Transfer: Downing College to Selwyn College\r\n\r\n<\/div><\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n&nbsp;\r\n<h2>Thursday July 6<\/h2>\r\n<table class=\" msr-table-schedule all-borders\" style=\"width: 100%;border-collapse: separate;border-spacing: 2px\" cellspacing=\"2\" cellpadding=\"2\">\r\n<tbody>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit;width: 10%\">Time<\/td>\r\n<td style=\"padding: 2px;border: inherit;width: 55%\">\u00a0Session<\/td>\r\n<td style=\"padding: 2px;border: inherit;width: 35%\">\u00a0Speaker<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a008:45<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0Coach Transfer: Selwyn to Microsoft Research and Sign In of All Attendees<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a009:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<strong>Representation Construction for Reinforcement Learning<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<a href=\"http:\/\/www.cs.mcgill.ca\/~dprecup\/\">Doina Precup<\/a>, McGill University<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a010:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0Morning Break<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a011:00<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0<strong>Session \"Malmo - Interactive Learning\"<\/strong><\/td>\r\n<td style=\"padding: 2px;border: inherit\">\r\n<div class=\"msr-table-schedule-cell\">\r\n<h5>Chair<\/h5>\r\n<div><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/#\">Katja Hofmann<\/a>, Microsoft Research<\/div>\r\n<\/div>\r\n<h5>Speakers<\/h5>\r\n<div class=\"msr-table-schedule-cell\">\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/kahofman\/#\">Katja Hofmann<\/a>, Microsoft Research<\/div>\r\n<div class=\"msr-table-schedule-cell\"><a href=\"https:\/\/www.cs.ox.ac.uk\/people\/shimon.whiteson\/\">Shimon Whiteson<\/a>, University of Oxford<\/div>\r\n<\/div><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"padding: 2px;border: inherit\">\u00a012:30<\/td>\r\n<td style=\"padding: 2px;border: inherit\">\u00a0AI Summer School Closes | Grab-and-Go Lunch<\/td>\r\n<td style=\"padding: 2px;border: inherit\"><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nOptional Trip to <a href=\"https:\/\/royalsociety.org\/science-events-and-lectures\/2017\/summer-science-exhibition\/\">Royal Society Summer Exhibition<\/a>, London\r\nReturn Transportation Provided (only for those that have confirmed a place at Registration)"},{"id":2,"name":"Speakers","content":"[accordion]\r\n\r\n[panel header=\"Christopher Bishop |\u00a0 Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-230158 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/05\/chris_bishop100x132.jpg\" alt=\"Chris Bishop\" width=\"100\" height=\"132\" \/><\/h3>\r\n<h3>AI and Healthcare<\/h3>\r\n<h4>Abstract<\/h4>\r\nOver the next decade, AI is set to transform the healthcare industry. Microsoft is working in a number of areas to empower healthcare experts with AI solutions to enable more effective treatment and diagnosis, and try to alleviate some of the current burdens on the healthcare system. Chris will cover some of the AI and healthcare projects underway, both within Microsoft Research and wider Microsoft\r\n<h4>Biography<\/h4>\r\nChris Bishop is a Microsoft\u00a0Technical Fellow\u00a0and the Laboratory Director at Microsoft Research Cambridge. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering,\u00a0in 2007 he was elected Fellow of the Royal Society of Edinburgh, and in 2017 he was elected Fellow of the Royal Society.\r\n\r\nChris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. He then joined Culham Laboratory where he worked on the theory of magnetically confined plasmas as part of the European controlled fusion programme.\r\n\r\nFrom there, he developed an interest in pattern recognition, and became Head of the Applied Neurocomputing Centre at AEA Technology. He was subsequently elected to a Chair in the Department of Computer Science and Applied Mathematics at Aston University, where he led the Neural Computing Research Group. Chris then took a sabbatical during which time he was principal organiser of the six month international research programme on Neural Networks and Machine Learning at the Isaac Newton Institute for Mathematical Sciences in Cambridge, which ran in 1997.\r\n\r\nAfter completion of the Newton Institute programme Chris joined the Microsoft Research Laboratory in Cambridge.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Dan Bohus\u00a0 |\u00a0 Microsoft Research\"]\r\n<h3><img class=\"alignright wp-image-380375 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Dan.jpg\" alt=\"Dan Bohus\" width=\"100\" height=\"132\" \/>Timing and Coordination in Physically Situated Language Interaction<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Bohus.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\nOver the recent years, we have seen significant advances in speech recognition, language and dialog technologies. Voice-enabled personal assistants are now deployed in the hands of millions of people. At the same time, numerous challenges remain largely unaddressed in the realm of physically situated language interaction (e.g., in-car systems, robots in public spaces, ambient assistance). In this talk, I will highlight some of these challenges. I will outline a set of basic skills required for supporting dialog in physically situated settings, and I will highlight the importance of fine-grained timing and coordination in regulating language interaction processes like engagement and turn-taking.\r\n<h4>Biography<\/h4>\r\n<span lang=\"EN-US\">Dan Bohus is a Senior Researcher in the Adaptive Systems and Interaction Group at Microsoft Research Redmond. His research agenda is focused on physically situated, open-world spoken language interaction. Before joining Microsoft Research, Dan has received his Ph.D. degree (2007) in Computer Science from Carnegie Mellon University<\/span><span lang=\"EN-US\">.<\/span>\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Antonio Criminisi |\u00a0 Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-379244 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Antonio-Criminisi.jpg\" alt=\"Antonio Criminisi\" width=\"100\" height=\"132\" \/>Assistive AI for Cancer Treatment<\/h3>\r\n<h4>Abstract<\/h4>\r\nI will talk about how a decade of research in machine learning and computer vision is culminating in a tool that helps treat cancer in a more efficient, targeted way. Surprisingly, the technology behind it all was inspired by the work we have done on Kinect. A collaboration with the cancer center at Addenbrookes is helping turn our research into a practical tool with enormous potential impact for the oncologists, and ultimately for the patients too.\r\n<h4>Biography<\/h4>\r\nIn June 2000, Antonio Criminisi joined Microsoft Research in Cambridge (Machine Learning and Perception group) as a visiting researcher. In February 2001, he moved to the Interactive Visual Media Group in Redmond (WA, United States) as a post-doctorate researcher. In October 2002, he moved back to the Machine Learning and Perception Group in Cambridge as a researcher. In September 2011, he became senior researcher and is now leading the Medical Image Analysis team.\r\n\r\nAntonio\u2019s current research interests are in the area of medical image analysis, object category recognition, image and video analysis and editing, one-to-one teleconferencing, 3D reconstruction from single and multiple images with application to virtual reality, forensic science, and history of art.\r\n\r\nAntonio Criminisi was born in 1972 in Italy. In October 1990, he was appointed \u201cAlfiere del Lavoro\u201d by the Italian President F. Cossiga for his successful studies. In July 1996, he received a degree in Electronics Engineering at the University of Palermo and in December 1999, he obtained a PhD in Computer Vision at the University of Oxford. His thesis. Accurate Visual Metrology from Single and Multiple Uncalibrated Images, won the British Computer Society Distinguished Dissertation Award for the year 2000 and was published by Springer-Verlag London Ltd. in August 2001. Antonio was a Research Fellow at Clare Hall College, Cambridge from 2002 to 2005. Antonio has won a number of best paper prizes in top computer vision conferences.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Rebecca Fiebrink |\u00a0 Goldsmiths University of London\"]\r\n<h3><img class=\"alignright wp-image-379232 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Rebecca.jpg\" alt=\"Rebecca Fiebrink\" width=\"100\" height=\"132\" \/>Session \"Design\" - On the Human Side<\/h3>\r\n<h4>Abstract<\/h4>\r\nThis session addresses what is human about artificial intelligence. The session will inspect this question from three very different perspectives.\u00a0 Alex Taylor will discuss human perspectives on AI; Anab Jain will comment on how design is shaping and commenting on AI; and Rebecca Fiebrink will speak about how people can learn to train AI tools for their own use. A commentary across fields, this session is intended to open up the discussion about where AI fits in the lives of people and the research challenges that that presents.\r\n<h4>Biography<\/h4>\r\nDr. Rebecca Fiebrink is a Lecturer at Goldsmiths, University of London. Her research focuses on designing new ways for humans to interact with computers in creative practice, including the use of machine learning as a creative tool. Fiebrink is the developer of the Wekinator system for real-time interactive machine learning, and the creator of a MOOC titled \u201cMachine Learning for Artists and Musicians,\u201d which launched in 2016 on the Kadenze platform. She was previously an Assistant Professor at Princeton University, where she co-directed the Princeton Laptop Orchestra. She has worked with companies including Microsoft Research, Sun Microsystems Research Labs, Imagine Research, and Smule, where she helped to build the #1 iTunes app \"I am T-Pain.\" She holds a PhD in Computer Science from Princeton University.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Jasmin Fisher | Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-269427 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/02\/jasmin-fisher100x132.jpg\" alt=\"jasmin-fisher100x132\" width=\"100\" height=\"132\" \/>Cancer AI<\/h3>\r\n<h4>Abstract<\/h4>\r\nCancers are pathologies driven by genetic mutations that disrupt a multitude of signalling pathways operating across different cell types interacting in highly complex ways. No two cancers, even of the same type, are the same. The holy grail of cancer treatment is to analyse the patient\u2019s genome and predict a sequence and combination of therapies that will destroy that patient\u2019s cancer with no adverse side effects. By developing executable models that can simulate cancer tumours at different levels of abstraction, we are on the threshold of being able to deliver on this vision. The state-of-the-art in executable biology is the use of formal methods and software verification to describe biological systems and explore their properties. Using program synthesis methods we can directly build such models from patients\u2019 data. This approach has already been used to find new more efficient therapies for Leukaemia in partnership with AstraZenenca. The next big question, as we collect more and more patient genomic data and history of cancer treatments, is how can we use AI methods to drive therapeutic regimes directly from patients\u2019 data? In the talk, I will showcase recent results and share some of the ambitions in this space.\r\n<h4>Biography<\/h4>\r\n<span lang=\"EN-US\">Jasmin Fisher is a Senior Researcher at <\/span><span lang=\"EN-US\">Microsoft Research Cambridge and an Associate Professor (Reader) of Systems Biology in the Department of Biochemistry at the University of Cambridge. She is a member of the Cambridge Cancer Centre, Cambridge Systems Biology Centre and the Cambridge Stem Cell Institute, and in 2016 she was elected Fellow of Trinity Hall, Cambridge. Jasmin received her PhD in Neuroimmunology from the Weizmann Institute in 2003. She then started her work on the application of formal methods to biology as a postdoctoral fellow in the Department of Computer Science at the Weizmann Institute, and then continued to work on the development of novel formalisms and tools that are specifically-tailored for modelling biological processes in the School of Computer Science at the EPFL in Switzerland. In 2007, Jasmin joined the Microsoft Research Lab in Cambridge. In 2009, she was also appointed a Research Group Leader in the University of Cambridge. Jasmin has devoted her career to develop methods for Executable Biology. She is a pioneer in using formal verification methods to analyse mechanistic models of cellular processes and disease. Her research group focuses on cutting-edge technologies to understand the molecular basis of cancer and the development of novel drug therapies, currently also in use by the pharmaceutical industry.<\/span>\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Zoubin Ghahramani | University of Cambridge\"]\r\n\r\n<img class=\"wp-image-379241 size-full alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Zoubin.jpg\" alt=\"Zoubin Ghahramani\" width=\"100\" height=\"132\" \/>\r\n<h3>Probabilistic Machine Learning and AI<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Ghahramani.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\nHow can a machine learn from experience? Probabilistic modelling provides a mathematical framework for understanding what learning is, and has therefore emerged as one of the principal approaches for designing computer\u00a0algorithms that learn from data acquired through experience. \u00a0The field of machine learning underpins recent advances in artificial intelligence, and data science, and has the potential to play an important role in scientific data\u00a0analysis. I will highlight some current areas of research at the frontiers of machine learning, including our project on developing an Automatic Statistician.\r\n<h4>Biography<\/h4>\r\nZoubin Ghahramani is a Professor at the University of Cambridge and Chief Scientist at Uber. \u00a0He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, Fellow of the Royal Society and of St John's College.\u00a0He was a founding Director of the Alan Turing Institute and co-founder of Geometric Intelligence. His research focuses on probabilistic approaches to machine learning and AI.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Katja Hofmann Researcher | Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-231598 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/05\/katja_hoffman100x132.jpg\" alt=\"katja_hoffman100x132\" width=\"100\" height=\"132\" \/>The Malmo Collaborative AI Challenge<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Hofmann.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\nA long-term goal of artificial intelligence research is to develop artificial assistants (AI agents) that can collaborate with and empower their users. This goal raises important questions, such as how AI agents may understand a person's goals, plans and beliefs in order to facilitate effective collaboration.\r\n\r\nIn this talk I give an overview of the Malmo Collaborative AI Challenge - a challenge our team recently conducted to increase awareness of these research challenges and enable steps towards solutions. I will give an overview of the challenge task and initial findings. Finally, the winning teams of the challenge will present their approach and insights gained towards developing collaborative AI.\r\n<h4>Biography<\/h4>\r\nKatja Hofmann is a researcher at Microsoft Research Cambridge. As part of the Machine Intelligence and Perception group, she is research lead of Project Malmo. Before joining Microsoft Research, Katja received her PhD in Computer Science from the University of Amsterdam, her MSc in Computer Science from California State University, and her BSc in Computer Science from the University of Applied Sciences in Dresden, Germany. Katja\u2019s main research goal is to develop interactive learning systems. Her dream is to develop AIs that learn to collaborate with human players in Minecraft.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Martin Jaggi | EPFL\"]\r\n<h3><img class=\"alignright wp-image-380381 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Martin.jpg\" alt=\"Martin Jaggi\" width=\"100\" height=\"132\" \/>A Brief Tour Through Optimisation Methods for Machine Learning<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Jaggi.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\nWe'll try to embark on a small guided tour through the current zoo of optimisation algorithms for many machine learning applications. Motivated from convex optimisation, we will cover a selection of main algorithmic building blocks together with their theoretical and practical efficiency properties. Finally, we'll touch on distributed optimisation for current heterogenous and large systems, and some open challenges.\r\n<h4>Biography<\/h4>\r\nMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, US, and at \u00c9cole Polytechnique in Paris, France. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich, interrupted with several shorter stints in industry.\r\n\r\n<span style=\"color: #000000;font-family: Times New Roman\">\u00a0<\/span>[\/panel]\r\n\r\n[panel header=\"Anab Jain | Superflux\"]\r\n<h3><img class=\"size-full wp-image-379223 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Anab.jpg\" alt=\"Anab Jain\" width=\"100\" height=\"132\" \/>Session \u201cDesign\u201d - On the Human Side<\/h3>\r\n<h4>Abstract<\/h4>\r\nThis session addresses what is human about artificial intelligence. The session will inspect this question from three very different perspectives.\u00a0 Alex Taylor will discuss human perspectives on AI; Anab Jain will comment on how design is shaping and commenting on AI; and Rebecca Fiebrink will speak about how people can learn to train AI tools for their own use. A commentary across fields, this session is intended to open up the discussion about where AI fits in the lives of people and the research challenges that that presents.\r\n<h4>Biography<\/h4>\r\nAnab is the Director and Co-founder of\u00a0critically acclaimed design studio\u00a0<a href=\"https:\/\/na01.safelinks.protection.outlook.com\/?url=http%3A%2F%2Fsuperflux.in%2F&amp;data=02%7C01%7Ca-suef%40microsoft.com%7C3d3ca12c8d854e6264fb08d480ca2987%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636275053191602479&amp;sdata=tKbaEoF5RdB20kRDgIsgGXB3bbh%2BdEN6xYShFbqlCHI%3D&amp;reserved=0\">Superflux<\/a>. The Studio consistently produces inventive work in the realm of emerging technologies for business, cultural, and social purposes. Recent clients include\u00a0Govt. of UAE, UNDP, Suncorp, Cabinet Office, Microsoft\u00a0Research and the V&amp;A Museum.\r\n\r\nAnab is also Professor of Industrial Design at the University of Applied Arts in Vienna, Austria.\r\n\r\nShe is the recipient of the Award\u00a0of Excellence ICSID, UNESCO Digital Arts Award, the Grand Prix at Geneva Human Rights Festival, as well as\u00a0awards from Apple and the UK Government\u2019s Innovation Department.\u00a0Her work has been exhibited at MoMA\u00a0New York, V&amp;A Museum, Science Gallery Dublin, National Museum of China, Vitra Design Museum, and Tate\u00a0Modern.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Noboru (Sean) Kuno |\u00a0 Microsoft Research\"]\r\n<h3><img class=\"alignright size-full wp-image-394763\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Sean-Noboru-Kuno.jpg\" alt=\"Sean Noboru Kuno\" width=\"100\" height=\"132\" \/>Session \u201cMalmo - Interactive Learning\u201d<\/h3>\r\n<h4>Biography<\/h4>\r\nSean Kuno is a Research Program Manager of Microsoft Research Outreach. He is based in Redmond U.S.S. and he is a member of Artificial Intelligence Outreach team. Kuno leads the ideation, design and launch of community programs for AI projects such as Project Malmo, working in partnership with universities and government agencies worldwide.\r\n\r\nKuno joined Microsoft Research Asia in 2009 as a University Relations Manager in Japan. Before he joined Microsoft, he worked for the Japan Science and Technology Agency (JST), the second largest funding agency in Japan, where he had more than four years\u2019 experience of project funding, program management and program evaluation and promotion of basic science research projects and academic exchange events. Before JST, he worked as a manager of marketing and product &amp; business development in the cable and satellite industry in Japan. He received a bachelor degree (1996) and a master\u2019s degree (1998) in Quantum Engineering and Systems Science from the Graduate School of Engineering, the University of Tokyo.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Cecily Morrison\u00a0 |\u00a0 Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-393908 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Cecily-Morrison.jpg\" alt=\"Cecily Morrison\" width=\"100\" height=\"132\" \/>Session \u201cDesign\u201d - On the Human Side<\/h3>\r\n<h4>Abstract<\/h4>\r\nThis session addresses what is human about artificial intelligence. The session will inspect this question from three very different perspectives.\u00a0 Alex Taylor will discuss how AI can be applied to understanding people; Anab Jain will comment on how design is shaping and commenting on AI; and Rebecca Fiebrink will speak about how people can learn to train AI tools for their own use. A commentary across fields, this session is intended to open up the discussion about where AI fits in the lives of people and the research challenges that that presents.\r\n<h4>Biography<\/h4>\r\nCecily Morrison is a researcher in the Human Experience &amp; Design (HXD) group at Microsoft Research Cambridge. Her research lies at the intersection of Human-Computer Interaction and Artificial Intelligence, understanding how we design and build systems that extend people\u2019s capability through machine and person working in symbiosis.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Iain Murray | University of Edinburgh\"]\r\n<h3><img class=\"alignright wp-image-380378 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/iain_murray_2017.jpg\" alt=\"Iain Murray\" width=\"100\" height=\"132\" \/>Monte Carlo and Machine Learning<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Murray.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\n\"Monte Carlo\" methods use random sampling to understand a system, estimate averages, or compute integrals. Monte Carlo methods were amongst the earliest applications run on electronic computers in the 1940s, and continue to see widespread use and research as our models and computational power grow. In machine learning, random sampling is widely used within optimisation methods, and as a way to perform inference in probabilistic models. Here \"inference\" simply means obtaining multiple plausible settings of model parameters that could have led to some observed data. Obtaining a range of explanations tells us both what we can and cannot know from our data, and prevents us from making overconfident (wrong) predictions.\r\n\r\nThis talk will describe some current research areas in Monte Carlo methods, and their interaction with machine learning.\r\n<h4>Biography<\/h4>\r\nIain Murray is a reader in Machine Learning at the University of Edinburgh. His research interests include probabilistic reasoning using Machine Learning, Density Estimation, and Markov chain Monte Carlo.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Sebastian Nowozin\u00a0| Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-393905 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Sebastian-Nowozin.jpg\" alt=\"Sebastian Nowozin\" width=\"100\" height=\"132\" \/>Session \u201cOptimisation\u201d<\/h3>\r\n<h4>Biography<\/h4>\r\nSebastian Nowozin is a principal researcher at Microsoft Research managing the Machine Intelligence and Perception group. He works on models and algorithms for artificial intelligence. Previous to joining Microsoft Research he received his PhD in 2009 from the Max Planck Institute for Biological Cybernetics and the Technical University of Berlin. Sebastian is associate editor of IEEE TPAMI and the Journal of Machine Learning Research and an area chair at machine learning and computer vision conferences (NIPS, ICML, CVPR, ICCV).\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Olya Ohrimenko | Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-379217 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/05\/olyao_small_100x132.jpg\" alt=\"Olya Ohrimenko\" width=\"100\" height=\"132\" \/>Confidential Machine Learning in the Cloud<\/h3>\r\n<h4>Abstract<\/h4>\r\nIn this talk, I will focus on techniques that allow one to use cloud computing infrastructure for running machine learning algorithms on sensitive and confidential datasets in a secure and privacy-preserving manner. Our goal is to provide users of cloud computing with complete control over their data: no one, including malicious employees and hackers, should be able to access the data without the user\u2019s permission. We start off by isolating machine learning (ML) code and data from the rest of the cloud environment using encryption and secure hardware (for example, Intel SGX). Though this essential step reduces the attack surface significantly, the interaction of the code with untrusted environment via data-dependent accesses to memory can leak confidential information. To this end, we propose data-oblivious counterparts of several machine learning algorithms, including decision trees and neural networks. These algorithms are designed to access memory without revealing secret information about their input. We use algorithmic techniques as well as platform specific hardware features to ensure that only public information, such as dataset size, is revealed. We will see that an efficient implementation of our framework on Intel Skylake processors scales up to realistic datasets, with overheads several orders of magnitude lower than with cryptographic-based approaches.\r\n<h4>Biography<\/h4>\r\nOlya Ohrimenko is a researcher in Constructive Security Group at Microsoft Research, Cambridge, and a research fellow at Darwin College, Cambridge University. Her research interests include privacy, integrity and security issues that emerge in the cloud computing environment. Olya received her Ph.D. degree from Brown University in 2013 and a B.CS. (Hons) degree from The University of Melbourne in 2007. She was an intern at Google, Microsoft Research Redmond and IBM Research Zurich.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Simon Peyton Jones | Microsoft Research\"]\r\n<h3><img class=\"alignright size-full wp-image-230176\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/05\/simonpj.jpg\" alt=\"Simon Peyton Jones\" width=\"100\" height=\"132\" \/>How to Write a Great Research Paper<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Peyton-Jones-Paper.pptx\">View the slides<\/a>\r\n<h3>How to Give a Great Research Talk<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Peyton-Jones-Talk.pptx\">View the slides<\/a>\r\n<h3>Abstract<\/h3>\r\nWriting papers and giving talks are key skills for any researcher, but they aren\u2019t easy. In this pair of presentations, I\u2019ll describe simple guidelines that I follow for writing papers and giving talks, which I think may be useful to you too. I don\u2019t have all the answers-far from it-so I hope that the presentation will evolve into a discussion in which you share your own insights, rather than a lecture.\r\n<h4>Biography<\/h4>\r\nSimon Peyton Jones, MA, MBCS, CEng, graduated from Trinity College Cambridge in 1980. After two years in industry, he spent seven years as a lecturer at University College London, and nine years as a professor at Glasgow University, before moving to Microsoft Research in 1998. His main research interest is in functional programming languages, their implementation, and their application. He has led a succession of research projects focused around the design and implementation of production-quality functional-language systems for both uniprocessors and parallel machines. He was a key contributor to the design of the now-standard functional language Haskell, and is the lead designer of the widely used Glasgow Haskell Compiler (GHC). He has written two textbooks about the implementation of functional languages. More generally, he is interested in language design, rich type systems, software component architectures, compiler technology, code generation, runtime systems, virtual machines, garbage collection, and more. He is particularly motivated by direct use of principled theory to practical language design and implementation-that\u2019s one reason he loves functional programming so much. He is also keen to apply ideas from advanced programming languages to mainstream settings.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Doina Precup | McGill University\"]\r\n<h3><img class=\"alignright wp-image-379226 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Doina.jpg\" alt=\"Doina Precup\" width=\"100\" height=\"132\" \/>Representation Construction for Reinforcement Learning<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Precup.pdf\">View the slides<\/a>\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Thomas Ristenpart | Cornell Tech\"]\r\n<h3><img class=\"size-full wp-image-379238 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Tom.jpg\" alt=\"\" width=\"100\" height=\"132\" \/>Confidentiality and Privacy Threats in Machine Learning<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Ristenpart.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\nMachine learning models are increasingly deployed widely, necessitating an understanding of the often nuanced interplay between ML and security. In this talk, I'll provide a brief introduction to some recent research trends in ML security, and then focus on those that deal with confidentiality and privacy.\r\n\r\nFirst, I will discuss recent work showing how to steal machine learning models from prediction APIs. We show simple approaches for extracting near-exact replicas of target linear models, neural networks, and decision trees from production machine learning cloud services such as Amazon Prediction API and BigML. \u00a0I'll then explore one specific privacy threat that arises from access to models, what we call model inversion. In the model inversion attacks we develop, an adversary can exploit access to a model and some partial information about a person to improve their ability to guess sensitive information about that person, such as a recognizable image of their face, their genotype, or private lifestyle behaviours. Finally, I will discuss the ability of malicious training algorithms to exfiltrate training data using the spare capacity of typical machine learning models.\r\n<h4>Biography<\/h4>\r\nThomas Ristenpart is an Associate Professor at Cornell Tech and a member of the Computer Science department at Cornell University. Before joining Cornell Tech in May, 2015, he spent four and a half years as an Assistant Professor at the University of Wisconsin-Madison. He completed his PhD at UC San Diego in 2010.\u00a0 His research spans a wide range of computer security topics, with recent focuses including new threats to, and improved opportunities for, cloud computing security, confidentiality and privacy in machine learning, and topics in applied and theoretical cryptography.\u00a0 His work has been featured in the New York Times, the MIT Technology Review, ABC News, U.S. News and World Report, and elsewhere.\u00a0 His work has been recognized by the UC San Diego Computer Science and Engineering Department Dissertation Award, an NSF CAREER Award, Best Paper Award at USENIX Security 2014, Distinguished Student Paper Award at Oakland 2016, and a Sloan Research Fellowship.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"\u00a0John Schulman \u00a0| OpenAI\"]\r\n<h3><img class=\"wp-image-379229 size-full alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/John.jpg\" alt=\"John Schulman\" width=\"100\" height=\"132\" \/>Policy Gradient Methods: Tutorial and New Frontiers<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Schulman.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\nIn this tutorial we discuss several recent advances in deep reinforcement learning involving policy gradient methods. These methods have shown significant success in a wide range of domains, including continuous-action domains such as manipulation, locomotion, and flight. They have also achieved the state of the art in discrete action domains such as Atari. We will provide a unifying overview of a variety of different policy gradient methods, and we will also discuss the formalism of stochastic computation graphs for computing gradients of expectations.\r\n<h4>Biography<\/h4>\r\nJohn Schulman is a research scientist at OpenAI. He received his PhD in computer science from UC Berkeley, after receiving a Bachelor of Science in physics from Caltech. He has written various publications on reinforcement learning and robotics, and has twice co-taught a course on deep reinforcement learning at UC Berkeley.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Scarlet Schwiderski-Grosche | Microsoft Research\"]\r\n<h3><img class=\"alignright size-full wp-image-230179\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/05\/scarletschwiderski-grosche100x132.jpg\" alt=\"Scarlet Schwiderski-Grosche\" width=\"100\" height=\"132\" \/>Welcome to AI Summer School 2017<\/h3>\r\n<h4>Biography<\/h4>\r\nScarlet Schwiderski-Grosche is a\u00a0Principal Research Program Manager at Microsoft Research Cambridge, working for Microsoft Research Outreach in the Europe, Middle East, and Africa (EMEA) region. She is responsible for academic research partnerships in the region, especially for the Joint Research Centres with Inria in France and EPFL and ETH Zurich in Switzerland.\u00a0Scarlet has a PhD in Computer Science from University of Cambridge. She was in academia for almost 10 years before joining Microsoft in March 2009. In academia, she worked as Lecturer in Information Security at Royal Holloway, University of London.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Jamie Shotton | Microsoft\"]\r\n<h3><img class=\"size-full wp-image-231601 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/05\/jamie_shotton2100x132.jpg\" alt=\"jamie_shotton2100x132\" width=\"100\" height=\"132\" \/><\/h3>\r\n<h3>HoloLens: Computer Vision meets Mixed Reality<\/h3>\r\n<h4>Abstract<\/h4>\r\n<span style=\"color: #000000\">Microsoft HoloLens is the world\u2019s first fully-untethered, self-contained Holographic computer, and has been made possible by recent advances in computer vision and AI technology. In this talk, we will explore the incredible combination of hardware and software that goes into building a device that can track your head motion without any external sensors, recognize your hand gestures, and reconstruct the room in 3D, all in real-time on a low-power embedded processor. <\/span><span style=\"color: #000000\">Finally, we will see some of the exciting opportunities for HoloLens, for both research and real-world applications.<\/span>\r\n<h4>Biography<\/h4>\r\nJamie Shotton is a Partner Scientist and leads the HoloLens Science team at Microsoft in Cambridge, UK, where his team focuses on the visual understanding of people to improve interaction and communication in mixed reality.\u00a0 He studied Computer Science at the University of Cambridge, where he remained for his PhD in computer vision and machine learning. He joined Microsoft Research in 2008 where he was a research scientist and head of the Machine Intelligence &amp; Perception group, before founding the HoloLens Science Cambridge team in 2016. His research focuses at the intersection of computer vision, AI, machine learning, and graphics, with particular emphasis on systems that allow people to interact naturally with computers.\u00a0He has received multiple Best Paper and Best Demo awards at top-tier academic conferences. His work on machine learning for body part recognition for Kinect was awarded the Royal Academy of Engineering\u2019s\u00a0<a href=\"http:\/\/www.raeng.org.uk\/grants-and-prizes\/prizes-and-medals\/other-awards\/the-macrobert-award\">MacRobert Award <\/a>2011, and he shares Microsoft\u2019s <a href=\"https:\/\/www.microsoft.com\/about\/technicalrecognition\/kinect-skeletal-tracking.aspx\">Outstanding Technical Achievement Award for 2012<\/a> with the Kinect engineering team. In 2014 he received the <a href=\"https:\/\/www.computer.org\/web\/tcpami\/young-researcher-award\">PAMI Young Researcher Award<\/a>, and in 2015 the MIT Technology Review <a href=\"https:\/\/www.technologyreview.com\/lists\/innovators-under-35\/2015\/\">Innovator Under 35 Award<\/a> (\u201cTR35\u201d).\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Kenji Takeda | Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-235995 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/05\/KenjiTakeda_100x132.jpg\" alt=\"KenjiTakeda_100x132\" width=\"100\" height=\"132\" \/>AI for Health<\/h3>\r\n<h4>Abstract<\/h4>\r\nThe pace of technology continues to promise revolutionary improvements in health, and AI has the potential to positively improve lives for patients and citizens. The reality is that improving healthcare is complex due to the myriad of people, processes, and systems that must work together. We are at a pivotal moment where the convergence of seamless communication, artificial intelligence, personalised medicine, and secure, trusted, hyper-scale cloud computing is giving us hope for a brighter future. We will discuss how AI is driving innovation by designing healthcare experiences that are centred around empowering patients, empowering clinicians, and empowering healthcare providers.\r\n<h4>Biography<\/h4>\r\nDr Kenji Takeda is Director for <a href=\"http:\/\/www.azure4research.com\/\">Azure for Research<\/a> at Microsoft Research. He is helping researchers take best advantage of cloud computing, including through data science, high-performance computing, and the internet of things. He is working on the application of AI in health, including in <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/medical-image-analysis\/\">medical imaging<\/a> and using the cloud. He has extensive experience in cloud computing, high performance and high productivity computing, data-intensive science, scientific workflows, scholarly communication, engineering and educational outreach. He has a passion for open science, and developing novel computational approaches to tackle fundamental and applied problems in science and engineering. He is a visiting industry fellow at the Alan Turing Institute, and visiting Associate Professor at the University of Southampton, UK.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Alex Taylor | Microsoft Research\"]\r\n\r\n<img class=\"wp-image-379220 size-full alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Alex.jpeg\" alt=\"Alex Taylor\" width=\"100\" height=\"132\" \/>\r\n<h3>Session \u201cDesign\u201d - On the Human Side<\/h3>\r\n<h4>Abstract<\/h4>\r\nThis session addresses what is human about artificial intelligence. The session will inspect this question from three very different perspectives.\u00a0 Alex Taylor will discuss human perspectives on AI; Anab Jain will comment on how design is shaping and commenting on AI; and Rebecca Fiebrink will speak about how people can learn to train AI tools for their own use. A commentary across fields, this session is intended to open up the discussion about where AI fits in the lives of people and the research challenges that that presents.\r\n<h4>Biography<\/h4>\r\nAlex Taylor is a sociologist in the Human Experiences &amp; Design group at Microsoft Research, Cambridge. He has been contributing to both academic and industrial research in Science and Technology Studies and Human-Computer Interaction for almost fifteen years. Showing a broad fascination for the entanglements between social life and machines, his research ranges from empirical studies of technology in everyday life to explorations into method, and the \u2018inventive methods' that are afforded through speculative and material interventions.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Shimon Whiteson | University of Oxford\"]\r\n<h3><img class=\"size-full wp-image-379235 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Shimon.jpg\" alt=\"Shimon Whiteson\" width=\"100\" height=\"132\" \/>Counterfactual Multi-Agent Policy Gradients<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Whiteson.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\nMany real-world problems, such as network packet routing and the coordination of autonomous vehicles, are naturally modelled as cooperative\u00a0multi-agent systems.\u00a0In this talk, I overview some of the key challenges in developing reinforcement learning methods that can efficiently learn decentralised policies for such systems.\u00a0I also propose a new multi-agent actor-critic method called counterfactual multi-agent (COMA) policy gradients. COMA uses a centralised critic to estimate the Q-function and\u00a0decentralised actors to optimise the agents' policies. \u00a0In addition, to address\u00a0the challenges of multi-agent credit assignment, it uses a counterfactual\u00a0baseline that marginalises out a single agent's action, while keeping the other\u00a0agents' actions fixed. COMA also uses a critic representation that allows the\u00a0counterfactual baseline to be computed efficiently in a single forward pass. Finally, I present results\u00a0evaluating COMA in the testbed of StarCraft unit micromanagement.\r\n<h4>Biography<\/h4>\r\nShimon Whiteson is an associate professor in the Department of Computer Science at the University of Oxford, and a tutorial fellow at St. Catherine's College.\u00a0His research focuses on artificial intelligence, with a particular focus on\u00a0machine learning and decision-theoretic planning. In addition\u00a0to theoretical work on these topics, he has in recent years also focused on applying them to practical problems in robotics and search engine optimisation. He\u00a0studied English and Computer Science at Rice University before completing a doctorate in Computer Science at the University of Texas at Austin in 2007. \u00a0He then spent eight years as an Assistant and then an\u00a0Associate Professor at the University of Amsterdam before joining Oxford as an Associate Professor in 2015. \u00a0He was awarded an ERC Starting Grant from the European Research Council in 2014 and a Google Faculty Research Award in 2017.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Yee Whye Teh | University of Oxford\"]\r\n<h3><img class=\"alignright size-full wp-image-394766\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/YWTeh-Oxford.png\" alt=\"Portrait of Yee Whye Teh\" width=\"100\" height=\"132\" \/><\/h3>\r\n<h3>Distributed\u00a0Bayesian\u00a0Learning\u00a0with\u00a0Stochastic\u00a0Natural-gradient\u00a0Expectation Propagation and the\u00a0Posterior\u00a0Server<\/h3>\r\n<h4>Abstract<\/h4>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Whye-Teh.pdf\">View the slides<\/a>\r\n\r\nWe make two contributions to\u00a0Bayesian\u00a0machine\u00a0learning\u00a0algorithms. Firstly, we propose\u00a0stochastic\u00a0natural\u00a0gradient\u00a0expectation propagation (SNEP), a novel alternative to expectation propagation (EP), a popular variational inference algorithm. SNEP is a black box variational algorithm, in that it does not require any simplifying assumptions on the distribution of interest, beyond the existence of some Monte Carlo sampler for estimating the moments of the EP tilted distributions. Further, as opposed to EP which has no guarantee of convergence, SNEP can be shown to be convergent, even when using Monte Carlo moment estimates.\r\n\r\nSecondly, we propose a novel architecture for\u00a0distributed\u00a0Bayesian\u00a0learning\u00a0which we call the\u00a0posterior\u00a0server. The\u00a0posterior\u00a0server\u00a0allows scalable and robust\u00a0Bayesian\u00a0learning\u00a0in cases where a dataset is stored in a\u00a0distributed\u00a0manner across a cluster, with each compute node containing a disjoint subset of data. An independent Markov chain Monte Carlo (MCMC) sampler is run on each compute node, with direct \u00a0access only to the local data subset, but which targets an approximation to the global\u00a0posterior\u00a0distribution given all data across the whole cluster. This is achieved by using a\u00a0distributed\u00a0asynchronous implementation of SNEP to pass messages across the cluster. We demonstrate SNEP and the\u00a0posterior\u00a0server\u00a0on\u00a0distributed\u00a0Bayesian\u00a0learning\u00a0of logistic regression and neural networks.\r\n<h4>Biography<\/h4>\r\nYee Whye Teh\u00a0is a Professor of Statistical Machine Learning at the <a href=\"http:\/\/www.ox.ac.uk\/\">University of Oxford<\/a>, working as a University Lecturer at the <a href=\"http:\/\/www.stats.ox.ac.uk\/\">Department of Statistics<\/a>, and as a Research Scientist at <a href=\"http:\/\/deepmind.com\/\">DeepMind<\/a>. He is\u00a0a <a href=\"http:\/\/erc.europa.eu\/\">European Research Council<\/a> Consolidator Fellow and an <a href=\"http:\/\/www.turing.ac.uk\/\">Alan Turing Institute<\/a> Faculty Fellow.\r\n\r\nFrom 2013 to 2016\u00a0he was also a Tutorial Fellow at <a href=\"http:\/\/www.univ.ox.ac.uk\/\">University College, Oxford<\/a>. From 2007 to 2012 Yee Whye\u00a0was Lecturer then Reader of Computational Statistics and Machine Learning at the <a href=\"http:\/\/www.gatsby.ucl.ac.uk\/\">Gatsby Computational Neuroscience Unit, UCL<\/a>. Prior to UCL he was <a href=\"http:\/\/www.nus.edu.sg\/dpr\/funding\/lky.html\">Lee Kuan Yew Postdoctoral Fellow<\/a> at the <a href=\"http:\/\/www.nus.edu.sg\/\">National University of Singapore<\/a> and a postdoctoral fellow at <a href=\"http:\/\/www.berkeley.edu\/\">University of California at Berkeley<\/a> working with <a href=\"http:\/\/www.cs.berkeley.edu\/~jordan\/\">Michael I. Jordan<\/a>.\r\n\r\nHe\u00a0obtained his Ph.D. in <a href=\"http:\/\/web.cs.toronto.edu\/\">Computer Science<\/a> at the <a href=\"http:\/\/www.utoronto.ca\/\">University of Toronto<\/a> in 2003 with <a href=\"http:\/\/www.cs.toronto.edu\/~hinton\/\">Geoffrey Hinton<\/a>, and his\u00a0B.Math. in <a href=\"https:\/\/cs.uwaterloo.ca\/\">Computer Science<\/a> and <a href=\"https:\/\/uwaterloo.ca\/pure-mathematics\/\">Pure Mathematics<\/a> at the <a href=\"https:\/\/uwaterloo.ca\/\">University of Waterloo<\/a> in 1997.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"John Winn |\u00a0 Microsoft Research\"]\r\n<h3><img class=\"size-full wp-image-393911 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/John-Winn.jpg\" alt=\"John Winn\" width=\"100\" height=\"132\" \/>Session \u201cLanguage\u201d<\/h3>\r\n<h4>Biography<\/h4>\r\nDr John Winn is a principal researcher in machine learning at Microsoft Research Cambridge.\u00a0 He obtained his Ph.D. in 2003 from the University of Cambridge, having previously studied at the Massachusetts Institute of Technology AI Lab. \u00a0John\u2019s research focuses on tools and languages that make it easier to do machine learning \u2013 with applications including information retrieval, computational biology, healthcare and machine vision.\u00a0 His work has been used in the Xbox Kinect body tracker and for detecting email clutter in Microsoft Office.\u00a0 In addition, he has created a deep learning paint program that could only paint horses and an object recognizer that caused Bill Gates to take off his glasses.\u00a0 His current focus is on probabilistic programming for very large scale text understanding.\r\n\r\n[\/panel]\r\n\r\n[panel header=\"Steve Young | University of Cambridge \"]\r\n<h3><img class=\"size-full wp-image-380384 alignright\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Steve-Young.jpg\" alt=\"Steve Young\" width=\"100\" height=\"132\" \/>Applications of Deep Learning in Spoken Dialogue Systems<\/h3>\r\n<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/03\/Young.pdf\">View the slides<\/a>\r\n<h4>Abstract<\/h4>\r\nSpoken dialogue systems (SDS) provide the core enabling technology for building intelligent personal assistants.\u00a0 The function of an SDS is to understand each user input, decode the users intention or goal and then respond accordingly. Whereas historically much of this functionality has been provided by hand-crafted rule systems, modern systems increasingly rely on statistical models and machine learning. This talk will briefly review the structure and components of a modern SDS and show how they can be implemented using deep neural networks.\u00a0The provision of adequate quantities of annotated training data is a major limitation on progress and the talk will conclude with some recent work on end-to-end training which has the potential to greatly reduce or even eliminate the need for labelled data.\r\n<h4>Biography<\/h4>\r\nSteve Young is Professor of Information Engineering at Cambridge\u00a0University and a Senior Member of Technical Staff in the Apple Siri Development team based in Cambridge,\u00a0UK. \u00a0His\u00a0main research interests lie in the area of statistical spoken\u00a0language systems including speech recognition, speech synthesis and dialogue\u00a0management.\u00a0\u00a0He is the recipient of a\u00a0number of awards including an IEEE Signal Processing Society Technical\u00a0Achievement\u00a0Award, an ISCA Medal for Scientific Achievement and an IEEE James L\u00a0Flanagan Speech and Audio Processing Award. He is a Fellow of the\u00a0Royal Academy\u00a0of Engineering and the Institute of Electrical and Electronics Engineers (IEEE).\r\n\r\n[\/panel]\r\n\r\n[\/accordion]"},{"id":3,"name":"Leisure","content":"<h2>Food and Drink<\/h2>\r\n<ul>\r\n \t<li><a href=\"http:\/\/www.cambridgerestaurants.com\/\">Cambridge Restaurants Guide<\/a><\/li>\r\n \t<li><a href=\"http:\/\/www.cambridgepubs.com\/\">Cambridge Pubs Guide<\/a><\/li>\r\n<\/ul>\r\n<h2>Cinema<\/h2>\r\n<a href=\"http:\/\/www.picturehouses.co.uk\/cinema_home_date.aspx?venueId=camb\">The Arts Picture House<\/a>\r\n38-39 St Andrews Street, Cambridge, CB2 3AR\r\nTel: 01223 572929\r\n\r\n<a href=\"http:\/\/www.cineworld.co.uk\/cinemas\/7\">Cineworld<\/a>\r\nCambridge Leisure Park, Clifton Road, Cambridge, CB1 7DY\r\nTel: 0871 200 2000\r\n\r\n<a href=\"http:\/\/www.myvue.com\/cinemas\/facilities\/cinema\/cambridge\">Vue Cinema<\/a>\r\nThe Grafton Centre, East Rd, Cambridge, CB1 1PS\r\nTel: 0871 2240240\r\n<h2>Theatres<\/h2>\r\n<a href=\"http:\/\/www.cambridgeartstheatre.com\/\">Cambridge Arts Theatre<\/a>\r\n6 St Edwards Passage, Cambridge, CB2 3PL\r\nTel: 01223 578933\r\n\r\n<a href=\"http:\/\/www.adctheatre.com\/\">ADC Theatre<\/a>\r\nPark Street, Cambridge, CB5 8AS\r\nTel: 01223 359547\r\n\r\n<a href=\"http:\/\/www.anglia.ac.uk\/ruskin\/en\/home\/microsites\/mumford_theatre.html\">Mumford Theatre<\/a>\r\nAnglia Polytechnic University, East Road, Cambridge, CB1 1PT\r\nTel: 0845 196 2320\r\n\r\n<a href=\"http:\/\/www.cornex.co.uk\/\">Cambridge Corn Exchange<\/a>\r\n3, Parson Court, Wheeler Street, Cambridge, CB2 3QE\r\nTel: 01223 357851\r\n\r\n<a href=\"http:\/\/www.junction.co.uk\/\">The Junction<\/a>\r\nCambridge Leisure Park, Clifton Road, Cambridge, CB1 7GX\r\nTel: 01223 511511"},{"id":4,"name":"FAQs","content":"[accordion]\r\n\r\n[panel header=\"What is the week-long agenda? \"]\r\n\r\nThe agenda will be full of exciting events including demonstrations, talks and discussions, which will enable you to interact with together with networking events. Please see the agenda tab for more details.\r\n\r\n[\/panel][panel header=\"When should I arrive at Selwyn College? \"]\r\n\r\nAI Summer School 2017 will start with registration at the Microsoft Research LAB from 12-13.30 on Monday 3rd July 2017 with sessions planned for the rest of the afternoon including an evening Welcome Reception. Transportation will be arranged from Microsoft LAB to Selwyn College after the Welcome Reception event has finished. Check in at Selwyn College will be at the Porter\u2019s Lodge.\r\nIf you are travelling with luggage, this can be stored securely for you.\r\n<ul>\r\n \t<li><a href=\"http:\/\/www.sel.cam.ac.uk\/selwyn-college\/directions-selwyn-college\/\">Directions to Selwyn College<\/a><\/li>\r\n<\/ul>\r\n[\/panel][panel header=\"When should I book my travel? \"]\r\n\r\nBook your travel as soon as possible so that you can be sure to arrive no later than 12:00 for registration and lunch on Monday, 3rd July 2017 and leave no earlier than 12:00 on Thursday, 6th July 2017 if you are NOT planning to attend our optional trip to the Summer Science Exhibition in London.\r\nIf you are planning to attend the Summer Science Exhibition, lunch and transportation will be made available but it is your responsibility for arranging any additional accommodation for the night of July 6th and beyond as well as any additional meals.\r\n<strong>Travel tips:<\/strong>\r\n<ul>\r\n \t<li>Where possible, fly into either London Stansted or London City Airport, which are closer to Cambridge and less congested.<\/li>\r\n \t<li>Avoid flying into London Heathrow or London Gatwick airports, which are quite a distance from Cambridge.<\/li>\r\n \t<li>Cambridge Airport runs flights to and from a limited number of European destinations.<\/li>\r\n \t<li>Use the train where possible; it\u2019s better for the environment!<\/li>\r\n<\/ul>\r\n[\/panel][panel header=\"How do I register for accommodation? \"]\r\n\r\nPlease register for your accommodation via the link in your invitation by 30 May 2017. Reservations should not be made directly. Ensure to request a room for the day that you arrive.\r\n\r\n[\/panel][panel header=\"When should I check out from Selwyn College? \"]\r\n\r\nCheckout is before 09:30 am on Thursday 6th July 2017.\r\n\r\n[\/panel][panel header=\"Where can I store my luggage when I check out from Selwyn College? \"]\r\n\r\nLuggage cannot be left at Selwyn College once you have checked out on Thursday 6th July, but can be stored securely at Microsoft Cambridge whilst you attend the final morning of Summer School.\r\n\r\n[\/panel][panel header=\"What should I do if I require a visa? \"]\r\n\r\nAll non-Microsoft visitors to the Microsoft Cambridge Research Office requiring a Business Travel Support letter to support their visa should request this letter directly via the <a href=\"https:\/\/businesstravelletter.microsoft.com\/Account\/Login\/?wa=wsignin1.0&amp;wtrealm=https%3a%2f%2fbusinesstravelletter.microsoft.com&amp;wctx=rm%3d0%26id%3dpassive%26ru%3d%252f&amp;wct=2016-05-04T15%3a41%3a33Z\">Business Travel Letter Tool<\/a>. <strong>NB:<\/strong> All non-Microsoft visitors must have or create a Microsoft account, such as Outlook.com or Hotmail.com to access the Business Travel Letter Tool and submit a request.\r\n\r\nDuring this process, you will be asked for the name of the Microsoft sponsor. Please provide <a href=\"mailto:scarlets@microsoft.com\">Scarlet Schwiderski-Grosche<\/a> as the FTE who will be asked to approve your request once you have submitted this in the tool.\r\n\r\nNote \u2013 please apply for your Business Support Letter immediately after registering to attend this event as the visa process can take a few weeks to complete and we don\u2019t want you disappointed if this does not come through in time.\r\n\r\n[\/panel][panel header=\"What about transportation? \"]\r\n\r\nYou are responsible for getting to Selwyn College and should follow the travel reimbursement guidelines. All transportation during Summer School will be provided, including transfers between Selwyn College and Microsoft Research.\r\n\r\n[\/panel][panel header=\"What is the dress code? \"]\r\n\r\nThe dress code whilst you are at Microsoft Cambridge for Summer School is smart\/casual.\r\n\r\nNo caps\/baseball hats or shorts will be permitted at Downing College Dinner. Smart dress is encouraged but not mandatory and if men are going to wear T-shirts they should be collared.\r\n\r\n[\/panel][panel header=\"Will I be able access the Internet during this event? \"]\r\n\r\nSelwyn College will offer free Wi-Fi in the bedrooms and public areas. Microsoft Research will offer free Wi-Fi access in the building. There will be instructions available when you access the building.\r\n\r\n[\/panel][panel header=\"What should I do if I have a special dietary need? \"]\r\n\r\nVegetarian options will be provided for all meals and snacks. Should you have any additional special dietary needs, please make sure you let us know during your registration.\r\n\r\n[\/panel][panel header=\"What should I do if I have any other special requirements? \"]\r\n\r\nPlease email <a href=\"mailto:a-suef@microsoft.com\">a-suef@microsoft.com<\/a> to advise of any other special requirements that you require whilst staying with us during Summer School. Microsoft have a prayer room for those students wishing to use this.\r\n\r\n[\/panel][panel header=\"Will I be able to have the contact details of the other attendees? \"]\r\n\r\nYes, if you have consented to sharing your details during your online registration.\r\n\r\n[\/panel][panel header=\"Will I be able to access any of the photographs taken during Summer School? \"]\r\n\r\nIf you consented to sharing your photographs during your online registration, you will have access to the photographs after the event.\r\n\r\n[\/panel][panel header=\"What should I do if I need a doctor or have a medical emergency? \"]\r\n<ul>\r\n \t<li><strong>In a medical emergency<\/strong>, dial 999<\/li>\r\n \t<li><strong>For a non-emergency<\/strong>, a list of local medical surgeries can be found <a href=\"http:\/\/www.healthcentre.org.uk\/medical-centres\/find-cambridge.html\">here<\/a> or ring one listed below:\r\n<ul>\r\n \t<li>Cherry Hinton Medical Centre 0844 8151440<\/li>\r\n \t<li>Bridge Street Medical Centre 08444 773939<\/li>\r\n \t<li>Petersfield Medical Practice 01223 350 647<\/li>\r\n \t<li>York Street Medical Practice 01223 364 116<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t<li>In the case of sickness or an emergency, where possible, please notify Sue Flanders, PhD Scholarship Programme Manager on 01223 476 996 or by email <a href=\"mailto:a-suef@microsoft.com\">a-suef@microsoft.com<\/a> as soon as you can.<\/li>\r\n<\/ul>\r\n[\/panel]\r\n\r\n[\/accordion]"}],"msr_startdate":"2017-07-03","msr_enddate":"2017-07-06","msr_event_time":"","msr_location":"Microsoft Research Cambridge UK","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"July 3, 2017","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"<img width=\"960\" height=\"390\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/header.jpg\" class=\"img-object-cover\" alt=\"a group of people standing in front of a building\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/header.jpg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/header-300x122.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/header-768x312.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/header-1024x416.jpg 1024w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","event_excerpt":"The AI Summer School continued the tradition of the annual PhD Summer Schools that have been taking place at MSR Cambridge for the past 11 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