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DTSTAMP:20260521T072406Z
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 91ɬÂþ 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:
  91ɬÂþ 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 Mark Coates\n	10:00 - 
 11:00 AM | Keynote presentation: Towards AI that learns and acts with Worl
 d 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. A
 ditya Mahajan\, Tim Xie\, and Jiangbo Yu\n	12:00 - 1:00 PM | Lunch\n	1:00 - 
 2:15 PM | Lightning talks: Profs. Fiona Zhao\, Guillaume Durandau\, and Jo
 zsef 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 register
 \n\n \n\nKeynote presentation: Towards AI that learns and acts with World 
 Models\n\nKeynote speaker: Michael Rabbat\n\nIn this talk\, Michael Rabbat
  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 tha
 t learn through observation of the physical world. By learning directly fr
 om video without the need for human‑labeled data\, this self‑supervised ap
 proach offers a more efficient path toward machines that can model the und
 erlying dynamics of their environment. He will outline how this direction 
 enables the development of the next generation of intelligent agents—syste
 ms 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 bui
 lding a new breed of AI systems focused on understanding and reasoning abo
 ut the world. He is also an Associate Industry Member at Mila.\n	\n	Previous
 ly\, Michael was a Research Director at Meta\, where he was a founding mem
 ber of FAIR Montréal\, contributing to the company's fundamental AI resear
 ch efforts. Prior to that\, he spent over a decade as a professor at McGil
 l University in Electrical and Computer Engineering. He earned his PhD fro
 m the University of Wisconsin\, Madison.\n\nThroughout his career he has w
 orked on a variety of topics across signal processing\, learning\, and opt
 imization\, including distributed optimization and federated learning. His
  current research is focused on learning world models and using them for p
 lanning 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:/engineering/channels/event/taylor-symposium-appli
 ed-ai-372808
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