BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260502T213011EDT-0104oxp6hb@132.216.98.100 DTSTAMP:20260503T013011Z DESCRIPTION:Please join us for the inaugural Taylor Symposium on Applied AI on May 15th\, which focuses on emerging trends in artificial intelligence .\n \n The event showcases the various applied AI research and initiatives u nderway within the Faculty of Engineering\, with a special keynote lecture by Michael Rabbat\, former ɬŔď·¬ professor in Electrical and Computer En gineering\, and Co‑Founder and Vice President of World Models at AMI. Plea se register below.\n\nThe symposium is organized by the Faculty of Enginee ring and made possible through the generous support of Scott Taylor. \n\nT o register\n\nEvent info and schedule:\n\nDate: May 15\, 2026\n\nLocation:  ɬŔď·¬ Faculty Club (3450 Rue McTavish)\n\n\n 8:00 Am | Registration / Bre akfast\n 8:30 AM | Welcome / Introduction\n 8:45 - 10:00 AM | Lightning talk s: Profs. James Clark\, Brett Meyer\, Lili Wei\, and Michael Coates\n 10:00 - 11:00 AM | Keynote presentation: Towards AI that learns and acts with W orld Models by Michael Rabbat\, Co-founder and VP World Models at AMI\n 11: 00 - 11:15 AM | Coffee break\n 11:15 AM - 12:00 PM | Lightning talks: Profs . Tim Xie\, and Jiangbo Yu\n 12:00 - 1:00 PM | Lunch\n 1:00 - 2:15 PM | Ligh tning talks: Profs. Fiona Zhao\, Audrey Sedal\, Guillaume Durandau\, and J ozsef Kovecses\n 2:15 - 3:00 PM | Panel discussion\n 3:00 - 3:15 PM | Coffee break\n 3:15 - 4:30 PM | Lightning talks: Profs. Roussos Dimitrakopoulos\, Mustafa Kumral\, Samuel Huberman\, Natalie Reznikov\, and Codruta Ignea\n 4:30 PM | Closing remarks\n 4:45 PM | Cocktail reception\n  \n\n\nTo registe r\n\n \n\nKeynote presentation: Towards AI that learns and acts with World Models\n\nKeynote speaker: Michael Rabbat\n\nIn this talk\, Michael Rabba t explores the next frontier in AI - World Models. He discusses how recent work on V‑JEPA 2 moves AI beyond simple word prediction toward systems th at learn through observation of the physical world. By learning directly f rom video without the need for human‑labeled data\, this self‑supervised a pproach offers a more efficient path toward machines that can model the un derlying dynamics of their environment. He will outline how this direction enables the development of the next generation of intelligent agents—syst ems that do not merely communicate\, but can truly understand\, plan\, and act in the physical world.\n\nBio:\n\nMichael Rabbat is Co-founder and VP World Models at Advanced Machine Intelligence (AMI Labs)\, where he is bu ilding a new breed of AI systems focused on understanding and reasoning ab out the world. He is also an Associate Industry Member at Mila.\n \n Previou sly\, Michael was a Research Director at Meta\, where he was a founding me mber of FAIR MontrĂ©al\, contributing to the company's fundamental AI resea rch efforts. Prior to that\, he spent over a decade as a professor at McGi ll University in Electrical and Computer Engineering. He earned his PhD fr om the University of Wisconsin\, Madison.\n\nThroughout his career he has worked on a variety of topics across signal processing\, learning\, and op timization\, including distributed optimization and federated learning. Hi s current research is focused on learning world models and using them for planning and control.\n\n \n DTSTART;VALUE=DATE:20260515 DTEND;VALUE=DATE:20260515 LOCATION:Faculty Club\, CA\, QC\, Montreal\, H3A 0E5\, 3450 rue McTavish SUMMARY:Taylor Symposium on Applied AI URL:/chemeng/channels/event/taylor-symposium-applied-a i-372808 END:VEVENT END:VCALENDAR