Ji Xin, PhD candidate
David R. Cheriton School of Computer Science
Dmitrii Pasechnik, Department of Computer Science
University of Oxford
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.
Richard Peng, School of Computer Science
Georgia Institute of Technology
Aravind Machiry, Department of Computer Science
University of California, Santa Barbara
Aastha Mehta, Max Planck Institute for Software Systems
Saarbrücken, Germany
Ryan Goldade, PhD candidate
David R. Cheriton School of Computer Science
Masoumeh Shafieinejad, PhD candidate
David R. Cheriton School of Computer Science
Besat Kassaie, PhD candidate
David R. Cheriton School of Computer Science
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.
