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People who shaped AI. Public professional records only.
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- Aicha EvansAicha Evans is chief executive of Zoox, the autonomous ride-hailing company Amazon acquired, and stayed on to lead it as a standalone business after the deal.
- 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.
- Amnon ShashuaAmnon Shashua is the founder of Mobileye, which grew out of his Hebrew University research into single-camera vehicle detection; he has led the company as chief executive since Intel acquired it in 2017.
- 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.
- Bernt Øyvind BørnichBernt Øyvind Børnich is CEO of 1X Technologies, the robotics company he founded in 2014 as Halodi Robotics; its work spans humanoid robots and the Revo1 servo motor.
- Brett AdcockBrett Adcock is a founder of several technology companies, including the recruiting platform Vettery, the electric aircraft maker Archer Aviation and the humanoid robotics company Figure AI, where he is chief executive.
- Cao XudongCao Xudong, a former Microsoft researcher, founded Momenta, a physical AI company, in 2016 and leads it as chief executive; he took it public in Hong Kong in 2026 and now points it toward robots.
- 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.
- Chris UrmsonChris Urmson is co-founder and chief executive officer of Aurora, the self-driving company he leads. Under him Aurora announced the acquisition of Uber's self-driving unit and put driverless commercial trucks on public roads.
- 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.
- 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.
- Elon MuskElon Musk is an entrepreneur who led SpaceX and Tesla, co-founded PayPal's predecessors and OpenAI, and founded xAI, the company behind the Grok models.
- 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.