People

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• AAidan 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.
• AAlexandr WangAmerican entrepreneur born in 1997 who co-founded Scale AI, a data-labelling and model-evaluation company, and became Meta's chief AI officer and leader of Meta Superintelligence Labs in 2025.
• AAndrej 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.
• AAndrew 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.
• AAshish 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.
• CChelsea 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.
• CChris 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.
• CChristopher ManningChristopher Manning is a Stanford professor of linguistics and computer science, former SAIL director, and former ACL president, recognized with fellowships and academy memberships.
• CClaude ShannonAmerican mathematician and electrical engineer whose 1948 paper "A Mathematical Theory of Communication" gave communication engineering a mathematical foundation.
• CClément 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.
• DDavid 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.
• DDavid 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.
• DDavid 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.
• DDemis 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.
• DDurk 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.
• FFei-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.
• FFrank 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.
• GGavin NewsomAmerican politician born in San Francisco in 1967; founder of the PlumpJack Group, former mayor of San Francisco, and California's 40th governor, who has both signed and declined to sign frontier-AI legislation.
• GGeoffrey 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.
• IIan 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.