Taking the Long-Term View: Technology Relations between Canada and the Bay Area in the Age of AI
Thurs., April 23 | 12:00 pm | 223 Philosophy Hall | RSVP
Canadians have made foundational contributions to the world’s technological advances. Before Apple and Google dominated the market, Research in Motion’s Blackberry invented the mobile office. Today’s AI landscape rests on the work of titans like Geoffrey Hinton, Yoshua Bengio, Richard Sutton, Joelle Pineau, Doina Precup, and Ilya Sutskever. Their long-term research pursuits at both universities and companies have fueled modern neural networks and machine learning.
The Bay Area, meanwhile, has long been a hub of technological innovation. It is a place where scientific theory mixes with venture funding and engineering expertise to make designs into successful products. The relationship between the Bay Area and Canada’s technological talent has always been strong, and this panel will explore the current landscape and the outlook for the future. How can we ensure that both the long-term research pursuits as well as the start-ups necessary for innovation thrive in both environments? What can we learn from the different ecosystems, and the relationships that we’ve built up to now?
About the Panelists
Timothy Barfoot is a professor at the University of Toronto Institute for Aerospace Studies (UTIAS) and a researcher in robot autonomy and vehicle navigation technologies. He is Director of the UofT Robotics Institute, co-Faculty Advisor of UofT’s self-driving car team, and previously worked as Director of Autonomous Systems at Apple in California. Professor Barfoot holds a BASc from the University of Toronto, and a PhD from UTIAS in robotics.
Carl Choi is the President of RLWRLD USA, a physical AI startup developing robot foundation models for industrial environments. Before joining RLWRLD, he was a partner with Alumni Ventures in Silicon Valley, where he led investments in AI, robotics, and foundational technologies. Mr. Choi holds a bachelor of mathematics from the University of Waterloo, a BBA from Wilfrid Laurier University, and an MBA from UC Berkeley’s Haas School of Business.
Matei Zaharia is an associate professor of Electrical Engineering & Computer Sciences (EECS) at UC Berkeley. His research focuses on computer systems for large-scale workloads such as AI, data analytics and cloud computing. He is also the co-founder and CTO of Databricks, a cloud-based platform for data analytics. Prof. Zaharia holds a bachelor of mathematics from the University of Waterloo, and a PhD from UC Berkeley. Prior to joining the Berkeley faculty, he taught at MIT and Stanford.
Claire Tomlin (moderator) is a professor in the Department of EECS at UC Berkeley and holds the James and Katherine Lau Chair in Engineering. Her research interests include unmanned aerial vehicles, air traffic control and modeling of biological processes. Professor Tomlin holds a BASc from the University of Waterloo, an MSc from Imperial College, London, and a PhD in EECS from UC Berkeley. |