Meetings/Workshops on Software Agents and Intelligent Agents in Artificial Intelligence in Canada
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AIML — AI and ML Strategies Summit
15 Sep 2020 - 16 Sep 2020 • Toronto, Canada
AI and Machine Learning have evolved from a "nice-to-have" to an imperative for all organizations across all industries within the last year. It is your turn to build an AI and Machine Learning strategy by learning about the latest technologies and implementations from high-profile companies. Over a course of two full days, learn from TD, Air Canada, Modiface, LG, and more about proven strategies and detailed action plans. Our events allow for valuable networking opportunities with business leaders from across North America. Registration is limited - save you spot and join us on Sept 15-16, 2020 in Toronto, ON.
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AAAI-21 — Thirty-Fifth AAAI Conference on Artificial Intelligence
02 Feb 2021 - 09 Feb 2021 • Vancouver, Canada
Association for the Advancement of Artificial Intelligence (AAAI)
The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines.
Optimization under Uncertainty: Learning and Decision Making
07 Feb 2021 - 12 Feb 2021 • Banff Centre in Alberta, Canada
Banff International Research Station for Mathematical Innovation and Discovery (BIRS)
Uncertainty pervades all areas of the natural sciences, engineering, and operations research. Such uncertainty may arise due to noisy measurements, model ambiguity, or unknown parameters. Moreover, optimal decision making under uncertainty is crucial to arrive at reliable solutions, which are resilient to catastrophe. Despite the inherent need to do so, including uncertainty in our models in the form of random parameters leads to a veritable explosion in the dimension of the resulting optimization or control problems; especially for models of complex engineering systems. Recent advances in the fields of uncertainty quantification and machine learning present exciting opportunities to help combat this curse of dimensionality. This workshop is intended is to join researchers in optimization under uncertainty, uncertainty quantification, and machine learning, whose work stands to benefit from cutting-edge machine learning techniques for intricate, data-driven models of real-world phenomena.
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Last updated: 07 July 2020