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People who shaped AI. Public professional records only.
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- Ali FarhadiAli Farhadi (born 1982) is a computer scientist and professor at the University of Washington who served as chief executive of the Allen Institute for AI from 2023 to 2026, a period that included fully open releases of the OLMo, Molmo and Tülu models.
- Anastasis GermanidisAnastasis Germanidis is a co-founder of Runway, the generative AI video company he started in 2018, and a co-author of the research behind Gen-1, Runway's video-to-video generation model.
- Andreas BlattmannAndreas Blattmann is a researcher on generative image models, second author of the latent diffusion paper behind Stable Diffusion, co-author of the Stable Diffusion 3 paper, and a 2024 co-founder of Black Forest Labs, which released the FLUX.1 models.
- 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.
- Cheng YixiaoCheng Yixiao is a Chinese entrepreneur who co-founded Kuaishou, served as its chief product officer, and has been its chief executive officer since 2021 and chairman since 2023.
- 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.
- Cristóbal ValenzuelaCristóbal Valenzuela is a Chilean-born technologist and the co-founder and CEO of Runway, the New York company behind the Gen series of AI video models.
- David HolzDavid Holz is the founder of Midjourney, a San Francisco independent research lab whose text-to-image tool became one of the best-known AI art generators. He earlier co-founded the hand-tracking hardware company Leap Motion.
- 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.
- Emad MostaqueEmad Mostaque is a British-Bangladeshi former hedge fund manager who founded Stability AI in 2019 and served as its CEO until he resigned in March 2024.
- 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.
- 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.
- Harry ShumHarry Shum is a computer scientist who spent most of his career at Microsoft, helping found Microsoft Research Asia in Beijing and later leading the company's AI and Research group. He is an IEEE Fellow and ACM Fellow recognised for computer vision and graphics.
- 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.
- John McCarthyJohn McCarthy (1927–2011) was an American computer scientist. His 1955 proposal is credited with coining the term “artificial intelligence”, he organised the 1956 Dartmouth workshop, and he created the LISP programming language.
- Julien ChaumondFrench entrepreneur who co-founded Hugging Face in 2016 and serves as its CTO, building the platform where open models and datasets are shared and speaking publicly for open-source AI.
- Kaiming HeKaiming He is a computer-vision and deep-learning researcher, first author of the 2015 ResNet paper that introduced residual connections, now a tenured associate professor at MIT.
- Nat FriedmanNat Friedman is a technology executive who led Xamarin as CEO, became CEO of GitHub after Microsoft acquired it, and later joined Meta to help lead Meta Superintelligence Labs.
- Patrick EsserPatrick Esser is a researcher on generative image and video models: a co-author of the latent diffusion paper that became the basis of Stable Diffusion, lead author of the Stable Diffusion 3 paper, and a 2024 co-founder of Black Forest Labs.
- Quoc LeQuoc Le is a machine-learning researcher whose 2013 Stanford Ph.D. thesis was on scalable feature learning. He co-authored papers on large-scale unsupervised learning, sequence-to-sequence models, neural architecture search and EfficientNet; the sequence-to-sequence paper won a NeurIPS 2024 Test of Time award.