Speaker: Kevin Cheung
About the presentation: Recent advances in machine learning research have led to systems that rival or even exceed human performance in a variety of domains that include image classification, medical diagnosis, voice recognition, and game playing. Interestingly, some of the core ideas on which these systems are based have been in existence for decades. In this presentation, we will take a look at a few of the important milestones in artificial intelligence research. We will take a quick dive into artificial neural networks and consider some of the issues in their design and training. We end by making some speculations on the future impact of machine learning.
About the speaker: Kevin Cheung has been a faculty member of the School of Mathematics and Statistics at Carleton University since 2005. After completing his PhD. at the University of Waterloo in 2003, he spent two years at the Massachusetts Institute of Technology as a Natural Sciences and Engineering Research Council (NSERC) Postdoctoral Fellow. In addition to discrete optimization, his current academic interests include designing and developing teaching tools and exploiting technology to help students attain mastery.