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  1. mila.quebec › fr › yoshua-bengioYoshua Bengio | Mila

    Yoshua Bengio. Membre académique principal. Chaire en IA Canada-CIFAR. Professeur titulaire, Université de Montréal, Département d'informatique et de recherche opérationnelle. Directeur scientifique, Équipe de direction. Observateur, Conseil d'administration, Mila. Site web.

  2. Yoshua Bengio Ph. D. F.R.S. O.C. S.R.C., né à Paris en France, est un chercheur québécois d'origine marocaine, spécialiste en intelligence artificielle, et pionnier de l' apprentissage profond. En 2020, il est professeur au département d'informatique et de recherche opérationnelle de l' Université de Montréal.

  3. How Rogue AIs may Arise. Published 22 May 2023 by yoshuabengio. The rise of powerful AI dialogue systems in recent months has precipitated debates about AI risks of all kinds, which hopefully will yield an acceleration of governance and regulatory frameworks. Although there is a general consensus around the need to regulate AI to protect the ...

  4. 13 de nov. de 2023 · Fireside Chat with Dawn Song and Yoshua Bengio at the Responsible Data Summit, July 28, 2020. Priors for Semantic Variables presentation at the Institute for Advanced Study Seminar on Theoretical Machine Learning, July 23, 2020. Deep Learning for System 2 Processing presentation at the AAAI-20 Turing Award winners 2018 special event, February 9 ...

  5. www.nature.com › articles › nature14539Deep learning | Nature

    27 de mai. de 2015 · Yoshua Bengio. View author publications. You can also search for this author in PubMed Google Scholar ...

  6. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. CIFAR’s Learning in Machines & Brains Program Co-Director, he is also the founder and ...

  7. 24 de jun. de 2023 · Published 24 June 2023 by yoshuabengio. I have been hearing many arguments from different people regarding catastrophic AI risks. I wanted to clarify these arguments, first for myself, because I would really like to be convinced that we need not worry. However, sharing them and opening up the discussion more broadly might also be useful.