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People who shaped AI. Public professional records only.
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- Aidan GomezAidan Gomez is a Canadian computer scientist, co-founder and CEO of Cohere, and one of the eight authors of the 2017 paper that introduced the Transformer architecture.
- Andrej KarpathyAI researcher and educator, born in Bratislava and raised partly in Toronto, who co-founded OpenAI, led AI at Tesla, taught Stanford's CS231n course, and later joined Anthropic's pre-training team.
- Andrew BartoAndrew G. Barto is a computer scientist who helped establish reinforcement learning as a general framework and shared the 2024 ACM A.M. Turing Award with Richard Sutton.
- Ashish VaswaniAshish Vaswani is a computer scientist best known as the first-listed author of “Attention Is All You Need,” the 2017 paper that introduced the Transformer architecture. He also co-founded the AI companies Adept and Essential AI.
- Chelsea FinnChelsea Finn is a computer scientist and assistant professor at Stanford University whose research spans meta-learning, deep reinforcement learning and robot learning; she is a co-founder of Physical Intelligence.
- Chris OlahChris Olah is a Canadian machine learning researcher and co-founder of Anthropic, known for work on mechanistic interpretability, the effort to understand the internal workings of neural networks.
- Christopher ManningChristopher Manning is a Stanford professor of linguistics and computer science, former SAIL director, and former ACL president, recognized with fellowships and academy memberships.
- Clément DelangueClément Delangue is a French entrepreneur who co-founded Hugging Face in 2016 and runs it as CEO, leading its shift from a chatbot app to an open machine-learning platform and model hub.
- David BakerProtein scientist at the University of Washington in Seattle, known for computational protein design: he designed a protein unlike any in nature in 2003 and received one half of the 2024 Nobel Prize in Chemistry.
- David RumelhartDavid Rumelhart (1942–2011) was an American cognitive psychologist. His 1986 work with colleagues helped bring back-propagation and neural-network models to a wide audience.
- David SilverBritish computer scientist born in 1976 who specialises in reinforcement learning. He led DeepMind's AlphaGo project, co-authored the 2013 deep Q-network paper and later founded Ineffable Intelligence.
- Demis HassabisDemis Hassabis is a British AI researcher and entrepreneur who co-founded DeepMind and was the last author of the 2016 AlphaGo paper. He shared the 2024 Nobel Prize in Chemistry for work on predicting protein structures.
- Dowson TongSenior executive at Tencent: Senior Executive Vice President and head of the Cloud and Smart Industries Group since October 2018, previously president of the Social Network Group responsible for QQ, and chairman of Tencent Music Entertainment Group.
- Durk KingmaDurk Kingma is a machine learning researcher and co-author of the variational autoencoder and the Adam optimizer; he has worked at OpenAI, Google Brain / DeepMind and Anthropic.
- Eddie WuEddie Wu is a co-founder of Alibaba Group who has been its chief executive officer and a director since September 2023, after more than two decades in technical and business roles across Alipay, Alimama and Taobao.
- Fei-Fei LiStanford computer scientist Fei-Fei Li created ImageNet, the large-scale image dataset and challenge that gave data-driven computer vision a common benchmark, and has led AI research in both academia and industry.
- Frank RosenblattFrank Rosenblatt (1928–1971) was an American psychologist who developed the perceptron, an early learning machine that adjusted its weights from examples. His Mark I Perceptron is now held by the Smithsonian Institution.
- Geoffrey HintonGeoffrey Hinton is a computer scientist born in London whose research on neural networks, including back-propagation and deep convolutional networks, is central to deep learning. He shared the 2018 ACM A.M. Turing Award and the 2024 Nobel Prize in Physics.
- Ian GoodfellowIan Goodfellow is a machine learning researcher and first author of the 2014 paper that introduced generative adversarial networks, which train a generator and a discriminator against each other. He has worked at OpenAI, Google Brain, Apple and Google DeepMind.
- Illia PolosukhinIllia Polosukhin is one of the eight authors of the 2017 Transformer paper and a co-founder of NEAR Protocol. A 2024 NEAR post identifies him as CEO of the NEAR Foundation.[^1][^3][^6]