Conférences - Agents logiciels et intelligence artificielle - 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.

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.

Cours et évènements pour étudiants en mathématiques,    Recherche opérationnelle

The Fields Institute for Research in Mathematical Sciences

Scheduled as part of the Focus Program on Data Science, Approximation Theory, and Harmonic Analysis

The Fields Institute for Research in Mathematical Sciences

The goal of the AI Institute on AI and Society is to bring together a diverse group of thoughtful individuals at different career stages to explore some of the most critical questions we face as a society around the development and use of Artificial Intelligence. Potential impacts of AI range from specific, near-term issues such as concerns related to transparency and accountability, algorithmic bias and equity, and liability for autonomous vehicles and other automated physical systems, to longer-term disruptions to employment, economic structure, government functioning and geopolitics. Our goal is to facilitate the production of impactful research outputs that cross disciplinary boundaries of mathematics, computer science, engineering, law, sociology, philosophy, history, and art.

Interface homme-machine, expérience utilisateur,    Réseaux sociaux et aspects sociaux des technologies de l'information