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  2. Ian Goodfellow - Wikipedia

    en.wikipedia.org/wiki/Ian_Goodfellow

    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 ...

  3. Yoshua Bengio - Wikipedia

    en.wikipedia.org/wiki/Yoshua_Bengio

    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).

  4. Deep backward stochastic differential equation method

    en.wikipedia.org/wiki/Deep_backward_stochastic...

    Deep learning encompass a class of machine learning techniques that have transformed numerous fields by enabling the modeling and interpretation of intricate data structures. These methods, often referred to as deep learning , are distinguished by their hierarchical architecture comprising multiple layers of interconnected nodes, or neurons.

  5. Geoffrey Hinton - Wikipedia

    en.wikipedia.org/wiki/Geoffrey_Hinton

    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.

  6. Mixture of experts - Wikipedia

    en.wikipedia.org/wiki/Mixture_of_experts

    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.

  7. AI 'Godfather' Yoshua Bengio: We're 'creating monsters more ...

    www.aol.com/finance/ai-godfather-yoshua-bengio...

    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 ...

  8. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  9. TIME100 AI 2024: Yoshua Bengio - AOL

    www.aol.com/news/time100-ai-2024-yoshua-bengio...

    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 ...

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