Discover the forefront of AI innovation at the Vector Institute's highly anticipated 2024 Research Symposium!
Immerse yourself in the awe-inspiring revelations of AI research showcased by global pioneers in the field – such as Geoffrey Hinton, Brendan Frey, and more to be announced soon!
This dynamic event brings together top-tier researchers, to celebrate the achievements of our research community and showcase cutting-edge advancements in artificial intelligence. Featuring engaging keynote presentations, a panel and poster presentations, attendees will explore groundbreaking projects, gain insights into AI's impact across research areas, and delve into ethical considerations. Join us to connect with each other, learn, and contribute to shaping the future of AI.
This thought-provoking day, crowded with insightful discussions and groundbreaking research presentations, promises to catapult you into the future of AI. Don't miss this opportunity to share, learn, and anticipate the thrilling future.
Agenda
Subject to change; all times EST
9:00 - 10:00 AM |
Registration and breakfast (in person only) |
10:00 - 10:30 AM |
Welcoming remarks and event kick-off |
10:30 - 11:10 AM |
Keynote - Will digital intelligence replace biological intelligence? Geoff Hinton, Pioneer in Deep Learning; Emeritus Professor, University of Toronto; Chief Scientific Adviser, Vector Institute |
11:10 - 11:20 AM |
Break |
11:20 AM - 12:00 PM |
Poster presentations & networking (in person only) |
12:00 - 1:00 PM |
Lunch (in person only) |
1:00 - 1:40 PM |
Keynote - BigRNA: A Foundation Model of RNA Biology That Unlocks Drug Discovery Brendan Frey, Founder & CIO, Deep Genomics |
1:45 - 2:25 PM |
Keynote - Generative Models AAA: Acceleration, Application, Adversary Amin Karbasi, Associate professor of Electrical Engineering, Computer Science, and Statistics & Data Science at Yale University; Staff Scientist, Google NY |
2:30 - 2:40 PM |
Closing remarks |
2:45 - 4:30 PM |
Poster presentations & networking (in person only) |
Speakers

Vector
Emeritus Professor, University of Toronto; Chief Scientific Adviser, Vector Institute


Associate professor of Electrical Engineering, Computer Science, and Statistics & Data Science at Yale University; Staff Scientist, Google NY