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  1. Yoshua Bengio. Professor of computer science, University of Montreal, Mila, IVADO, CIFAR. Verified email at umontreal.ca - Homepage. Machine learning deep learning artificial intelligence.

  2. Early life and education. Career and research. Views on AI. Awards and honours. Publications. References. Yoshua Bengio OC FRS FRSC (born March 5, 1964 [3]) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning.

    • Renato de Mori
  3. Research Interests. My long-term goal is to understand the mechanisms giving rise to intelligence; understanding the underlying principles would deliver artificial intelligence, and I believe that learning algorithms are essential in this quest. Since 1986 I have worked on neural networks, in particular on deep learning in this century.

  4. Nov 17, 2021 · Computer Science > Machine Learning. [Submitted on 17 Nov 2021 ( v1 ), last revised 10 Jul 2023 (this version, v4)] GFlowNet Foundations. Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio.

    • Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio
    • 2021
  5. Recognized worldwide as one of the leading experts in artificial intelligence, Yoshua Bengio is most known for his pioneering work in deep learning, earning him the 2018 A.M. Turing Award, “the Nobel Prize of Computing,” with Geoffrey Hinton and Yann LeCun.

  6. 514 343-6804. yoshua.bengio@umontreal.ca. Secondary email: bengioy@iro.umontreal.ca (Travail) ResearchGate. Page professionnelle (faculté,département,école) Site web de l’unité de recherche. CV en anglais. Blogue. LinkedIn. Google Scholar. Autre site web. Profile. Affiliations and responsabilities. Teaching and supervision Currently recruiting.

  7. As of 2020, Google, Facebook, Microsoft and Samsung had all established satellite labs in Montreal. Bengio himself has co-founded several startup firms, most notably Element AI in 2016 which develops industrial applications for deep learning technology.

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