Category: People

This category contains 20 pages.

  • Alex Krizhevsky · Canadian computer scientist who wrote and trained AlexNet, the GPU-based convolutional network whose 2012 ImageNet victory launched the deep learning era, and created the CIFAR-10 and CIFAR-100 datasets.
  • Andrej Karpathy · Slovak-Canadian computer scientist; co-founder of OpenAI, director of AI at Tesla from 2017 to 2022, creator of Stanford's CS231n course and of educational artifacts including nanoGPT, and a pretraining research lead at Anthropic since 2026.
  • Andrew Ng · British-American computer scientist who co-founded Google Brain and Coursera, served as Baidu's chief scientist from 2014 to 2017, and built online machine learning courses taken by millions of students.
  • Arthur Samuel · American computer pioneer whose IBM checkers program (1952-1967) was the first celebrated self-improving machine and whose 1959 paper gave machine learning its name.
  • David Rumelhart · American psychologist who led the 1980s connectionist revival through the PDP volumes and the 1986 Nature paper that popularized backpropagation; his past-tense model ignited the rules-versus-associations debate.
  • David Silver · British computer scientist who led the AlphaGo and AlphaZero projects at DeepMind; 2019 ACM Prize in Computing laureate and founder of Ineffable Intelligence.
  • Demis Hassabis · British AI researcher and entrepreneur; co-founder and CEO of Google DeepMind and co-recipient of the 2024 Nobel Prize in Chemistry for AlphaFold's protein structure prediction.
  • Frank Rosenblatt · American psychologist who invented the perceptron, the first neural network trained by a provably convergent learning rule, at Cornell Aeronautical Laboratory in 1957.
  • François Chollet · French software engineer and AI researcher, creator of Keras and the Xception architecture, author of On the Measure of Intelligence and the ARC-AGI benchmark, and co-founder of the AGI lab Ndea.
  • Geoffrey Hinton · British-Canadian computer scientist who popularized backpropagation, co-invented the Boltzmann machine, led the deep learning revival behind AlexNet, won the 2018 Turing Award and the 2024 Nobel Prize in Physics, and left Google in 2023 to warn about AI risk.
  • Ian Goodfellow · American computer scientist who invented the generative adversarial network, co-authored the Deep Learning textbook, and held research roles at Google Brain, OpenAI, Apple, and Google DeepMind.
  • Ilya Sutskever · Israeli-Canadian computer scientist who co-created AlexNet and sequence-to-sequence learning, co-founded OpenAI and served as its chief scientist through the GPT era, and co-founded Safe Superintelligence in 2024.
  • John Hopfield · American physicist whose 1982 associative-memory model, the Hopfield network, helped restart neural network research; co-recipient of the 2024 Nobel Prize in Physics.
  • John Jumper · American chemist and computer scientist who led the AlphaFold project at Google DeepMind; co-recipient of the 2024 Nobel Prize in Chemistry for protein structure prediction.
  • Paul Werbos · American researcher who first described backpropagation in his 1974 Harvard dissertation, pioneered recurrent backpropagation and adaptive critic designs, and directed neural network funding at NSF from 1988 to 2015.
  • Richard Sutton · Canadian computer scientist who built the conceptual and algorithmic foundations of reinforcement learning and won the 2024 ACM Turing Award with Andrew Barto.
  • Walter Pitts · American logician who co-created the first mathematical model of the neuron in 1943 with Warren McCulloch, founding the theory of neural networks.
  • Warren McCulloch · American neurophysiologist and psychiatrist who co-founded neural network theory with the 1943 McCulloch-Pitts paper and chaired the Macy conferences on cybernetics.
  • Yann LeCun · French-American computer scientist who invented convolutional neural networks for document recognition, founded and led Meta's FAIR laboratory as chief AI scientist, co-received the 2018 Turing Award, and left Meta in 2025 to found the world-model startup AMI Labs.
  • Yoshua Bengio · Canadian computer scientist at the Université de Montréal, founder of Mila, pioneer of neural language models and attention-based machine translation, co-recipient of the 2018 Turing Award, and since 2023 a leading scientific voice on AI catastrophic risk.