Thursday, May 26, 2016
(all day)
Speaker: Melanie Mitchell, Portland State University and Santa Fe Institute
Abstract
Enabling computers to recognize abstract visual situations remains a hard open problems in artificial intelligence. No machine vision system comes close to matching human ability at identifying the contents of images or visual scenes, or at recognizing abstract similarity between different scenes, even though such abilities pervade human cognition. In this talk I will describe my research on getting computers to flexibly recognize visual situations by integrating neural networks for low-level vision with an agent-based model of higher-level concepts and analogy-making.
Biography