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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. Terry Sejnowski - Wikipedia

    en.wikipedia.org/wiki/Terry_Sejnowski

    His book, The Deep Learning Revolution, was published by the MIT Press in June 2018. His most recent book, ChatGPT and the Future of AI: The Deep Language Revolution, will published by the MIT Press in October 2024. He has co-created (with Professor Barbara Oakley) and teaches Learning How to Learn: Powerful mental tools to help you master ...

  4. Artificial Intelligence: A Modern Approach - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence:_A...

    AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...

  5. 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.

  6. Computational learning theory - Wikipedia

    en.wikipedia.org/wiki/Computational_learning_theory

    Theoretical results in machine learning mainly deal with a type of inductive learning called supervised learning. In supervised learning, an algorithm is given samples that are labeled in some useful way. For example, the samples might be descriptions of mushrooms, and the labels could be whether or not the mushrooms are edible.

  7. History of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/History_of_artificial...

    Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks.Their creation was inspired by biological neural circuitry. [1] [a] While some of the computational implementations ANNs relate to earlier discoveries in mathematics, the first implementation of ANNs was by psychologist Frank Rosenblatt, who developed the perceptron. [1]

  8. 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).

  9. MIT Press - Wikipedia

    en.wikipedia.org/wiki/MIT_Press

    MIT Press is a distributor for Semiotext(e), Goldsmiths Press, Strange Attractor Press, Sternberg Press, Terra Nova Press, Urbanomic, and Sequence Press. In 2000, the MIT Press created CogNet, an online resource for the study of the brain and the cognitive sciences. [7] In 1981, MIT Press published its first book under the Bradford Books ...