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  1. 1991-1995 Learning to learn papers with Samy Bengio, starting with IJCNN 1991, “Learning a synaptic learning rule”. The idea of learning to learn (particularly by back-propagating through the whole process) has now become very popular, but we lacked the necessary computing power in the early 90’s. 1993-1995 Uncovering the fundamental ...

  2. Jun 24, 2023 · 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.

  3. 约书亚·本吉奥(Yoshua Bengio),1964年3月5日出生于法国巴黎,2018年图灵奖得主,英国皇家学会院士,蒙特利尔大学教授,Element AI联合创始人。约书亚·本吉奥于1986年获得麦吉尔大学计算机工程学士学位;1988年获得麦吉尔大学计算机科学硕士学位;1991年获得麦吉尔大学计算机科学博士学位;1991年至 ...

  4. Nov 13, 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

    May 27, 2015 · Bengio, Y., Simard, P. & Frasconi, P. Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Networks 5 , 157–166 (1994). CAS PubMed Google Scholar

  6. Jun 17, 2019 · Prof. Yoshua Bengio at the MILA. On June 7th, 2019 at the MILA (Montreal Institute for Learning Algorithms) in Montreal, Canada, I conducted my interview with Professor Yoshua Bengio, who is one of the pioneers of AI (Artificial Intelligence). He is well-known as the “father of AI” for his great contribution to developing so-called deep ...

  7. 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 ...