BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20260506T105405EDT-9169DC4Uw7@132.216.98.100
DTSTAMP:20260506T145405Z
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 McGill 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:
  McGill 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 Montréal\, 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:https://www.mcgill.ca/engineering/channels/event/taylor-symposium-appli
 ed-ai-372808
END:VEVENT
END:VCALENDAR