Wednesday, February 26, 2020 — 12:15 PM EST

Ji Xin, PhD candidate
David R. Cheriton School of Computer Science

Wednesday, February 26, 2020 — 1:30 PM EST

Dmitrii Pasechnik, Department of Computer Science
University of Oxford

Wednesday, February 26, 2020 — 1:30 PM EST

Marcus Brubaker
Department of Electrical Engineering and Computer Science, York University
Research Director, Borealis AI

Modelling and synthesizing image noise is an important aspect in many computer vision applications. The long-standing additive white Gaussian and heteroscedastic (signal-dependent) noise models widely used in the literature provide only a coarse approximation of real sensor noise.

Thursday, February 27, 2020 — 10:30 AM EST

Richard Peng, School of Computer Science
Georgia Institute of Technology

Monday, March 2, 2020 — 10:30 AM EST

Aravind Machiry, Department of Computer Science
University of California, Santa Barbara

Thursday, March 5, 2020 — 10:30 AM EST

Aastha Mehta, Max Planck Institute for Software Systems
Saarbrücken, Germany

Friday, March 13, 2020 — 11:00 AM EDT

Masoumeh Shafieinejad, PhD candidate
David R. Cheriton School of Computer Science

Wednesday, April 1, 2020 — 10:30 AM EDT

Besat Kassaie, PhD candidate
David R. Cheriton School of Computer Science

Thursday, May 14, 2020 — 3:30 PM EDT

Oren Etzioni
Chief Executive Officer, Allen Institute for AI
Professor of Computer Science, University of Washington

Could we wake up one morning to find that AI is poised to take over the world? Is AI the technology of unfairness and bias? My talk will assess these concerns, and sketch a more optimistic view.  

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