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Please note: This PhD seminar will take place in DC 1331.

Nolan Peter Shaw, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jeff Orchard

Please note: This PhD seminar will take place online.

Zhiying Jiang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Deep neural networks (DNNs) are often used for text classification due to their high accuracy. However, DNNs can be computationally intensive, requiring millions of parameters and large amounts of labeled data, which can make them expensive to use, to optimize, and to transfer to out-of-distributed (OOD) cases in practice.

Monday, April 24, 2023 9:30 am - 12:30 pm EDT (GMT -04:00)

PhD Defence • Computer Algebra • Algorithms in Intersection Theory in the Plane

Please note: This PhD defence will take place in MC 5417 and virtually.

Catherine St-Pierre, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Éric Schost

This thesis presents an algorithm to find the local structure of intersections of plane curves.

Please note: This PhD seminar will take place in DC 1331 and virtually over Zoom.

Ken Jen Lee, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

Wednesday, April 12, 2023 1:30 pm - 3:00 pm EDT (GMT -04:00)

From AlphaGO to ChatGPT Public Talk

Sponsored by the Faculty of Mathematics Data Science Graduate Programs, please join Cheriton School of Computer Science expert in artificial intelligence, Professor Pascal Poupart, for a public talk in which he will describe the key technological advances in recent years that were behind AlphaGo and ChatGPT and ultimately facilitated these breakthroughs.

In recent years, we have seen the following —

Monday, March 27, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Systems and Networking • Rescuing Data Center Processors

Please note: This seminar will take place virtually over Zoom.

Tanvir Ahmed Khan, PhD candidate
Computer Science and Engineering, University of Michigan

Billions of people rely on web services powered by data centers, where critical applications run 24/7. Unfortunately, data center applications are extremely inefficient, wasting more than 60% of all processor cycles, and causing millions of dollars in operational expenses and energy costs.

Please note: This PhD seminar will take place in DC 2564.

Yongqiang (Victor) Tian, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Chengnian Sun