Yoshua Bengio

Yoshua Bengio

OC FRS FRSC
Yoshua Bengio; OC FRS FRSC
	Yoshua Bengio in 2019
Born	March 5, 1964; Paris, France
Citizenship	Canada
Alma mater	McGill University
Known for	Deep learning; Neural machine translation; Generative adversarial networks; Attention models; Word embeddings; Denoising autoencoders; Language models; Learning to learn; Generative flow networks;
Awards	Marie-Victorin Prize (2017); Turing Award (2018); AAAI Fellow (2019); Legion of Honor (2022)
	Scientific career
Fields	Machine learning; Deep learning; Artificial intelligence
Institutions	Université de Montréal; MILA; Element AI
Thesis	Artificial Neural Networks and their Application to Sequence Recognition (1991)
Doctoral advisor	Renato de Mori
Notable students	Ian Goodfellow
Website	yoshuabengio.org

Yoshua Bengio OC FRS FRSC (born March 5, 1964) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA).

Bengio received the 2018 ACM A.M. Turing Award (often referred to as the "Nobel Prize of Computing"), together with Geoffrey Hinton and Yann LeCun, for their work on deep learning. Bengio, Hinton, and LeCun are sometimes referred to as the "Godfathers of AI" and "Godfathers of Deep Learning". As of May 2023, he has the highest h-index of any computer scientist.

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