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Ian J. Goodfellow (born 1987 [1]) is an American computer scientist, engineer, and executive, most noted for his work on artificial neural networks and deep learning.He is a research scientist at Google DeepMind, [2] was previously employed as a research scientist at Google Brain and director of machine learning at Apple, and has made several important contributions to the field of deep ...
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. [4] [5] [6] 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).
The most cited [3] of these include some of the early works sparking the 2010s deep learning revolution by showing how to explore the many learned representations obtained through deep learning, [4] one of the first deep learning approaches to image captioning, [5] efforts to understand why deep learning works [6] leading to many follow-up ...
LISA was founded in 1993 by Yoshua Bengio, a Turing award winner and one of the founders of the field of deep learning [5] [6] [7] while the RL-Lab was founded in 2001 and is currently co-directed by Professors Prakash Panangaden, Doina Precup, Joëlle Pineau, and Jackie Chi Kit Cheung.
Hinton received the 2018 Turing Award, often referred to as the "Nobel Prize of Computing", together with Yoshua Bengio and Yann LeCun, for their work on deep learning. [24] They are sometimes referred to as the "Godfathers of Deep Learning", [ 25 ] [ 26 ] and have continued to give public talks together.
AI, as we know, may not have existed without Yoshua Bengio. Called the “godfather of artificial intelligence," Bengio, 60, is a Canadian computer scientist who has devoted his research to neural ...
Consequently, for each query, only a small subset of the experts should be queried. This makes MoE in deep learning different from classical MoE. In classical MoE, the output for each query is a weighted sum of all experts' outputs. In deep learning MoE, the output for each query can only involve a few experts' outputs.
Credit - Photo-Illustration by TIME (Source: Courtesy of Yoshua Bengio) Y oshua Bengio, one of the most-cited researchers in AI, is deeply concerned about the dangers that future artificial ...