Hybrid
Presenter: Mark Crowley, University of Waterloo
Title: A Dream of Cause and Fire: Musings on the Current and Future Uses of AI for Science
Abstract: In this talk I'll give an overview of some of the research happening recently in my lab and then I will highlight a couple next directions which I am excited about, particularly in the use of Machine Learning in AI for Science research.
Bio: Mark Crowley is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo and is a member of the Waterloo Artificial Intelligence Institute. He and his students carry out research into single-agent and multi-agent Reinforcement Learning large-scale 2D/3D image-like processing, and manifold learning/dimensionality reduction. Some of this research is motivated by theoretical opportunities, particularly in manifold learning and multi-agent reinforcement learning. But most of the work flows out of challenges raised by real-world domains including forest fire management, the automotive domain, medical imaging, and digital chemistry/material design.
The University of Alberta Artificial Intelligence (AI) Seminar is a weekly meeting where researchers (including students, developers, and professors) interested in AI can share their current research. Presenters include local speakers from the University of Alberta and industry as well as other institutions. The seminars discuss a wide range of topics related in any way to Artificial Intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems of interest. Learn more at the AI Seminar website and by subscribing to the mailing list!
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