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Researchers in artificial intelligence and machine learning

171 articles

Dorsa Sadigh

Dorsa Sadigh is a computer scientist and Associate Professor of Computer Science at Stanford University whose research helps robots learn from and adapt to humans.

Douglas B. Lenat

Douglas B. Lenat, also known as Douglas Bruce Lenat, was an American AI researcher who created AM and Eurisko and led the Cyc commonsense project until his death in 2023.

Douglas Hofstadter

Douglas Hofstadter is an American cognitive scientist, physicist, and writer, Distinguished Professor at Indiana University, best known for Gödel, Escher, Bach and for computational models of analogy-making.

Durk Kingma

Durk Kingma (formal name Diederik P. Kingma), born 1983, is a Dutch computer scientist known for the Variational Autoencoder and the Adam optimizer, and an OpenAI co-founder.

Edward Feigenbaum

Edward Feigenbaum, born in 1936, is an American artificial intelligence researcher and Stanford professor emeritus, called the father of expert systems, who won the 1994 Turing Award.

Edward H. Adelson

Edward H. Adelson, known as Ted Adelson, is an American vision scientist at MIT, a National Academy of Sciences member best known for the GelSight tactile sensor.

Eliezer Yudkowsky

Eliezer Yudkowsky (born 1979) is an American AI safety researcher who co-founded the Machine Intelligence Research Institute, seeded the LessWrong community blog, and argues superhuman AI likely means extinction.

Emma Hart (computer scientist)

Emma Hart is an English computer scientist and Professor at Edinburgh Napier University, known for evolutionary robotics, especially jointly evolving a robot's body and controller.

Eric Poe Xing

Eric Poe Xing, who publishes as Eric P. Xing, is a machine learning researcher and the first president of MBZUAI in Abu Dhabi since 2021.

Frank Rosenblatt

Frank Rosenblatt (1928–1971) was an American psychologist at Cornell Aeronautical Laboratory in Buffalo, New York, who invented the perceptron in 1957, a direct ancestor of today's neural networks.

Frederick Jelinek

Frederick Jelinek was an information theorist who pioneered statistical speech recognition and machine translation, leading IBM's speech group and then Johns Hopkins' Center for Language and Speech Processing.

Geoffrey Hinton

Geoffrey Hinton, also known as Geoff Hinton, is a British-Canadian computer scientist who won the 2018 Turing Award and 2024 Nobel Prize in Physics for deep learning.

George Cybenko

George Cybenko is a Dartmouth College engineering professor best known for proving the 1989 universal approximation theorem for neural networks, and a Fellow of the IEEE, SIAM, and AAAS.

Gerard Guy Medioni

Gerard Guy Medioni is a French-American computer vision scientist, a USC professor emeritus and Amazon vice president elected to the National Academy of Engineering in 2023.

Guido de Croon

Guido C. H. E. de Croon is a Dutch artificial-intelligence researcher and full professor at Delft University of Technology's Micro Air Vehicle Laboratory, working on insect-inspired autonomy for small drones.

Guy Hoffman

Guy Hoffman is an Israeli roboticist and associate professor at Cornell University known for expressive, non-anthropomorphic robots built around anticipation and timing, including the improvising marimba player Shimon.

Han Liu

Han Liu is a statistician and machine-learning researcher who won the 2015 PECASE award at Princeton and is now Orrington Lunt Professor of Computer Science at Northwestern University, directing the MAGICS lab.

Hendrycks, Dan

Dan Hendrycks is an American AI safety researcher who earned a PhD at UC Berkeley in 2022 and directs the Center for AI Safety, known for GELU and MMLU.

Heng Huang

Heng Huang is an American-based machine learning researcher working on AI, health computing, and precision medicine, and the inaugural Brendan Iribe Endowed Professor at the University of Maryland.

Herbert A. Simon

Herbert A. Simon (1916–2001) was an American polymath at Carnegie Mellon who co-founded artificial intelligence and won both the 1975 Turing Award and the 1978 Nobel Prize in Economics.

Huan Liu (computer scientist)

Huan Liu is a Regents Professor of computer science at Arizona State University working in data mining, machine learning, and social media mining, and winner of the ACM SIGKDD 2022 Innovation Award.

Huei-Fang Yang

Huei-Fang Yang is a Taiwanese computer scientist and Associate Professor at National Sun Yat-sen University, best known for deep hashing papers on fast image retrieval.

Ian Goodfellow

Ian Goodfellow (Ian J. Goodfellow) is an American machine learning researcher who invented the generative adversarial network (GAN) in 2014 and is lead author of the MIT Press textbook Deep Learning.

Ian Reid (computer vision researcher)

Ian Reid is an Australian computer vision and robotics researcher, professor of computer vision and department chair at MBZUAI in Abu Dhabi, known for visual SLAM including MonoSLAM.

Iyad Rahwan

Iyad Rahwan is an Australian computer scientist who directs the Center for Humans and Machines at the Max Planck Institute for Human Development in Berlin.

James L. McClelland

James L. McClelland is an American cognitive scientist, Lucie Stern Professor at Stanford, known for the Parallel Distributed Processing framework and complementary learning systems theory of memory.

James Zou

James Zou is a Stanford computer scientist working on machine learning for medicine, known for EchoNet and leading the Stanford AI for Science Lab since 2016.

Jan Leike

Jan Leike is a German machine learning and AI alignment researcher who leads Anthropic's Alignment Science team, having previously co-led OpenAI's Superalignment team with Ilya Sutskever.

Janelle Shane

Janelle Shane is an American laser scientist in Colorado known for the AI humor blog AI Weirdness and the 2019 book You Look Like a Thing and I Love You.

Jean Ponce

Jean Ponce is a French computer-vision researcher, professor at the École Normale Supérieure in Paris since 2023, known for the PMVS multiview stereopsis algorithm and the textbook Computer Vision: A Modern Approach.