Contributions
74 people made field-defining contributions and 507 made major ones, as a model judged their biographies. These levels are provisional: no person has checked them.
Field-defining (74)
- Abraham Lempelco-invented the Lempel-Ziv compression algorithms
- Aja Huanghead programmer and key developer of AlphaGo
- Alan Turingdefined the universal computing machine and limits of computation
- Alec Radfordlead author of GPT, GPT-2 and CLIP
- Alex Krizhevskyco-authored AlexNet, deep convolutional network for ImageNet classification
- Alexei Kitaevproposed topological fault-tolerant quantum computation and phase estimation
- Alfred V. Ahofundamental algorithms and theory of programming-language implementation
- Allen Newellco-developed Logic Theorist, General Problem Solver, and Soar
- Amir Pnueliintroduced temporal logic for specifying and verifying reactive programs
- Andrew Bartoco-founded reinforcement learning with Richard Sutton
- Andrew Yaointroduced communication complexity and Yao's minimax principle
- Andrey Kolmogorovaxiomatic foundations of modern probability theory
- Anton Zeilingercarried out the first successful quantum teleportation experiment
- Barbara H. Liskovcreated CLU and data abstraction; Liskov Substitution Principle
- C. A. R. Hoareinvented Hoare logic and quicksort
- Christian Szegedyco-invented batch normalization; Inception; discovered adversarial examples
- Claude Berrouco-invented turbo codes approaching the Shannon limit
- Claude ShannonFounded information theory, defining information and channel capacity
- Cynthia Dworkproposed differential privacy
- David Bakerdeveloped computational protein design methods, recognized with Nobel Prize
- David Deutschproposed the universal quantum computer
- David J. Winelandfirst laser cooling demonstration; first deterministic multi-qubit gates
- David Rumelhartco-authored 1986 backpropagation paper and Parallel Distributed Processing
- David Silverco-led AlphaGo; AlphaZero self-play
- Diederik P. Kingmaintroduced the Adam optimizer and variational autoencoders
- Donald Gemanco-proposed the Gibbs sampler; proved simulated annealing convergence
- Dzmitry Bahdanauco-introduced attention mechanism for neural machine translation
- E. Allen Emersonco-introduced model checking for formal verification
- Edmund M. Clarkeco-established model checking for formal verification
- Edward Wittenproposed M-theory unifying five string theories
- Frank Rosenblattdeveloped the perceptron and its learning rule
- Geoffrey Hintonco-developed backpropagation for training neural networks
- Gilles Brassardco-invented the BB84 quantum key distribution protocol
- Gordon Plotkinintroduced structural operational semantics
- Herbert A. Simonco-created Logic Theory Machine and General Problem Solver
- Ian Goodfellowproposed generative adversarial networks
- Jeffrey L. Elmanintroduced the Simple Recurrent Network (Elman net)
- Jimmy Baco-invented the Adam optimizer
- John Henry Hollandintroduced genetic algorithms
- John Hopfieldinvented the Hopfield associative-memory neural network
- John Jumperled AlphaFold protein structure prediction, Nobel Prize in Chemistry
- John M. Martinismacroscopic quantum tunneling foundation for superconducting qubits; Nobel Prize
- John McCarthycreated Lisp and co-named AI as a research field
- Judea PearlBayesian networks and causal calculus distinguishing observation from intervention
- Jürgen Schmidhuberco-invented Long Short-Term Memory (LSTM) with Sepp Hochreiter
- K.R. Raoco-invented the discrete cosine transform
- Karen Sparck Jonesintroduced inverse document frequency term weighting
- Kobbi Nissimco-formulated differential privacy
- Kunihiko Fukushimainvented the neocognitron, an early deep convolutional network
- Leo Breimanintroduced CART, bagging and random forests
- Leslie Lamportinvented Paxos consensus and logical clocks for distributed systems
- Leslie ValiantIntroduced formal theory of efficient learning, founding computational learning theory
- Lotfi A. Zadehinvented fuzzy sets, founding fuzzy logic
- Michel Devoretdemonstrated macroscopic quantum effects in circuits, founding superconducting qubits
- Neal Koblitzco-invented elliptic curve cryptography
- Nils Nilssonco-invented A* search and STRIPS planning
- Paul Werbosfirst described training neural networks by backpropagation
- Peter W. Shorinvented Shor's quantum factoring algorithm
- Ray Solomonoffinvented algorithmic probability, launching algorithmic information theory
- Richard Suttonintroduced temporal-difference learning; co-founded modern reinforcement learning
- Robin MilnerCreated LCF, the ML language, CCS and the pi-calculus
- Sanjay Ghemawatco-created MapReduce, Google File System and Bigtable
- Sepp Hochreiterco-invented Long Short-Term Memory (LSTM) recurrent networks
- Sergey Ioffeco-invented Batch Normalization
- Shafi Goldwasserco-introduced probabilistic encryption with Silvio Micali
- Silvio Micalico-authored Probabilistic Encryption, framework for modern cryptography
- Stuart Gemanco-introduced Gibbs sampling; proved simulated annealing convergence
- Tom Brownfirst author of the GPT-3 paper
- Tomas Mikolovdeveloped word2vec word representation learning
- Vint Cerfco-designed the TCP/IP protocol suite
- Vladimir Vapnikco-founded statistical learning theory and support vector machines
- Yann LeCundeveloped convolutional networks for handwriting and document recognition
- Yasunobu NakamuraCo-demonstrated the first superconducting qubit
- Yoshua Bengioneural language models with learned word representations; attention-based translation
Major (507)
- A. P. Dawidconditional independence theory underpinning probabilistic expert systems
- Aakanksha Chowdherytechnical lead for Google's 540B PaLM language model
- Aaron C. Courvilleco-authored Generative Adversarial Nets
- Aäron van den Oordco-introduced WaveNet, VQ-VAE and contrastive predictive coding
- Adam LererCo-led FAIR Diplomacy team behind CICERO
- Adam Paszkecore author of the PyTorch machine-learning library
- Aditya Rameshintroduced DALL·E text-to-image model; co-created DALL·E 2
- Aggelos Kiayiasco-created Ouroboros, first provably secure proof-of-stake blockchain protocol
- Aidan Gomezco-authored the Transformer paper Attention Is All You Need
- Alain Colmerauerco-developed the Prolog logic programming language
- Alan Conrad Bovikco-invented the SSIM image quality index
- Alan Robinsoninvented the resolution inference rule for automated deduction
- Alan Smeatonco-founded TRECVid video retrieval benchmark and its standard datasets
- Alban Desmaisoncore contributor and lead maintainer of the PyTorch framework
- Albert Gudeveloped S4 and Mamba state-space sequence models
- Alex Aceroled team showing DNNs beat GMMs in speech recognition
- Alex Gravesco-introduced connectionist temporal classification for unsegmented sequence labeling
- Alex Rivesstarted and led ESM, first large-scale protein language models
- Alex Waibelinvented the Time-Delay Neural Network, an early convolutional network
- Alexander Bergco-developed ImageNet dataset and competition; SSD detector
- Alexander KolesnikovHelped develop the Vision Transformer for image recognition
- Alexander Pritzelco-developed AlphaFold; co-authored deep continuous-control RL paper
- Alfred Marcel Brucksteinco-developed K-SVD dictionary learning algorithm for sparse representations
- Ali Farhadico-created the YOLO real-time object detector
- Ali Rahimico-introduced random features for large-scale kernel machines
- Amit Singhalrewrote Google's search engine and led its core ranking team
- Amnon Shashuamonocular camera vision system for vehicle detection (Mobileye)
- Andreas Blattmannco-authored latent diffusion models; helped lead Stable Diffusion release
- Andreas Geigerled group that released the KITTI computer-vision benchmark
- Andreas Krauseco-developed GP-UCB linking Gaussian-process optimization and bandits
- Andreas Stolckedesigned SRILM statistical language modeling toolkit
- Andrew Clelandfirst quantum ground state of a mechanical object
- Andrew Fitzgibbonled boujou automatic camera tracking software
- Andrew Houckhelped develop the transmon superconducting qubit
- Andrew M. Daisemi-supervised pretraining of recurrent networks; co-led GLaM and PaLM 2
- Andrew V. Goldbergco-developed the push-relabel maximum-flow method with Robert Tarjan
- Andrew Zissermanco-developed VGG very deep convolutional networks
- Andy Konwinskico-created Apache Spark and Apache Mesos at Berkeley
- Anil K. Jainpattern recognition for fingerprint and face biometric identification
- Anna Goldieco-led AlphaChip reinforcement-learning chip floorplanning
- Antoni Buadesco-authored the non-local means image denoising algorithm
- Aravind K. Joshideveloped the mathematics of tree-adjoining grammars
- Armin Bieredeveloped high-performance open-source SAT solvers underlying many competition winners
- Avi WigdersonShowed randomized algorithms can be derandomized under assumptions
- Avrim Blumco-introduced co-training, initiating multi-view learning
- Azalia Mirhoseinico-led AlphaChip, reinforcement-learning chip layout used in TPUs
- Barret Zophco-introduced neural architecture search; co-introduced Switch Transformers
- Bart Selmanlocal-search SAT solving and planning as satisfiability
- Bartomeu Collco-introduced non-local means image denoising
- Benjamin Rechtco-developed exact matrix completion via convex optimization
- Bernard Widrowco-developed ADALINE and the least mean squares learning method
- Bernardino Romera-Paredesco-authored AlphaFold; equal-contribution author of FunSearch
- Bernhard Schölkopfhelped develop kernel methods for machine learning
- Berthold K. P. Hornco-created the Horn–Schunck optical flow method
- Bill Triggsco-introduced histograms of oriented gradients for human detection
- Bing Liuassociation-rule classification and sentiment analysis papers
- Björn Ommerco-authored latent diffusion models for high-resolution image synthesis
- Brent WatersCo-introduced attribute-based encryption
- Brian W. Kernighanco-created AWK; co-wrote The C Programming Language; contributed to Unix
- C. Lawrence ZitnickCo-authored the Microsoft COCO dataset; developed PhotoDNA
- Carl Edward Rasmussenco-wrote Gaussian Processes for Machine Learning textbook
- Carl Hewittco-introduced the actor model of concurrent computation
- Carlo Tomasico-developed Tomasi-Kanade factorization and bilateral filtering
- Carlos Guestrinco-authored XGBoost scalable tree-boosting system; co-created GraphLab
- Carlton M. Cavesproposed squeezed states to reduce interferometer quantum noise
- Carver Meadpioneered VLSI system design and neuromorphic silicon hardware
- Charles A. Rosenled SRI team that built Shakey mobile robot
- Charles Fillmoreframe semantics and FrameNet lexical resource
- Charless C. Fowlkesco-created the Berkeley Segmentation Dataset
- Chelsea Finnintroduced Model-Agnostic Meta-Learning (MAML)
- Chengxiang ZhaiDeveloped statistical language models for information retrieval
- Chenlin Mengco-authored Denoising Diffusion Implicit Models (DDIM) sampling method
- Chih-Jen Lincreated widely used LIBSVM and LIBLINEAR machine learning software
- Chris J. Maddisoncore contributor to AlphaGo
- Chris Malachowskyengineering leadership turning GPUs into parallel computing platforms
- Christopher D. Manningstatistical and neural NLP methods, GloVe, and Stanford CoreNLP
- Christopher Réco-developed Hogwild! lock-free parallel SGD; co-developed S4 state-space model
- Clark Glymourdeveloped automated causal discovery methods and the TETRAD project
- Claude Crépeauco-authored the 1993 quantum teleportation paper
- Clemens Meyerled DeepMind's AlphaFold project
- Constantinos Daskalakisshowed computing Nash equilibria is computationally intractable
- Corinna Cortesco-developed soft-margin support vector machines with Vapnik
- Csaba Szepesvárico-invented UCT Monte Carlo tree search algorithm
- Curtis Priemarchitected first PC graphics processor; NVIDIA co-founder and CTO
- Dan Bonehco-created Boneh–Franklin identity-based encryption; pairing-based cryptography
- Dana H. Ballardco-authored predictive coding model of visual cortex
- Daniel D. Leeco-developed non-negative matrix factorization for learning parts
- Daniel ScharsteinMiddlebury stereo benchmark datasets and stereo method taxonomy
- Daniel Spielmanco-developed smoothed analysis of algorithms; Kadison–Singer result
- Daron AcemogluNobel-winning studies of how institutions form and affect prosperity
- David Allen McAllesterdeveloped PAC-Bayesian theorems in learning theory
- David Cournapeauoriginal author of the scikit-learn machine learning library
- David Donohosparse signal recovery and compressed sensing
- David Ferrucciprincipal investigator of IBM Watson, which won Jeopardy!
- David Harelinvented Statecharts for reactive systems, adopted into UML
- David HausslerLed team behind public human-genome assembly and UCSC Genome Browser
- David Lorge Parnasconcept of information hiding in software engineering
- David M. Bleico-created Latent Dirichlet Allocation topic model
- David Mumfordco-created the Mumford–Shah functional for image segmentation
- David Pooledeveloped lifted inference and independent choice logic
- David Warde-Farleyco-authored Generative Adversarial Nets
- Dawson Englerinferring bugs as deviant behavior; static analysis commercialized as Coverity
- Dedre Gentnerdeveloped structure-mapping theory of analogy
- Demetri Terzopoulosdeformable models and active contours for vision and graphics
- Demis Hassabisled DeepMind, whose AlphaFold solved protein-structure prediction
- Denny Zhouco-authored chain-of-thought prompting and self-consistency decoding
- Dhruv BatraVisual Question Answering, which started a vision-and-language research strand
- Didier Duboisco-developed possibility theory for handling uncertainty
- Dieter Foxco-developed Monte Carlo Localization for mobile robots
- Doina Precupoptions framework and option-critic architecture in reinforcement learning
- Dominik Lorenzcoauthored latent diffusion; helped lead Stable Diffusion release
- Donald Knuthcreated TeX typesetting system; authored The Art of Computer Programming
- Donald W. Lovelanddeveloped model elimination for automated theorem proving
- Dorin ComaniciuMean Shift methods for image segmentation and real-time tracking
- Douwe Kielaled the Meta AI team that introduced retrieval-augmented generation
- Dragomir Radevco-created LexRank graph-based extractive summarization
- Dumitru Erhanco-authored Inception architecture and adversarial examples paper
- Edward A. Feigenbaumdeveloped knowledge-based AI and expert systems through DENDRAL
- Edward Farhico-introduced the Quantum Approximate Optimization Algorithm (QAOA)
- Edward H. Shortliffeprincipal developer of the MYCIN medical expert system
- Edward Yangcore PyTorch contributor and co-author of the PyTorch paper
- Eero Simoncellico-developed the SSIM image quality model; steerable pyramid representations
- Ekin Dogus Cubukco-created AutoAugment automated data augmentation search
- Elad Hazanco-developed the AdaGrad optimization method
- Ellen M Voorheesmanaged and built TREC large-scale search evaluation program
- Erik Learned-Millerdeveloped Labeled Faces in the Wild face recognition benchmark
- Erkki Ojadeveloped Oja's rule for principal-component neural learning
- Ernst Dickmannsearly autonomous driving with the VaMoRs robot van
- Evan Shelhamerled Caffe framework development; co-authored Fully Convolutional Networks
- Fei-Fei Liled the team that developed the ImageNet dataset
- Felix Gersintroduced the forget gate to LSTM
- Florent Perronninintroduced Fisher kernels for large-scale image classification
- François Cholletcreated the Keras deep learning library
- Frank Dellaertco-developed the Monte Carlo localization algorithm
- Frank HutterAutoML systems Auto-WEKA, auto-sklearn and tabular model TabPFN
- Frank McSherryCo-founded differential privacy via noise calibrated to sensitivity
- Franz Josef Ochstatistical machine translation; minimum error rate training; Google Translate
- Friedrich Leischco-founded CRAN and implemented R's package management system
- G. David Forneyintroduced concatenated codes; popularized the Viterbi algorithm
- Gail Carpenterco-developed adaptive resonance theory and ARTMAP neural networks
- Gao Huangfirst author of DenseNet
- Gary R. Bradskistarted the OpenCV open-source computer vision library
- Gautam Kamathdiscrete Gaussian mechanism; Gödel Prize robust high-dimensional estimators
- Georgy Adelson-Velskyco-invented the AVL tree, first balanced binary search tree
- Gerald J. TesauroCreated TD-Gammon, self-play reinforcement learning for backgammon
- Gerald Jay Sussmanco-invented the Scheme programming language; co-authored SICP
- Gerard Saltonled SMART retrieval testbed that introduced the vector processing model
- Gerhard Weikumco-created the YAGO knowledge base
- Giuseppe Carleointroduced neural-network representation of many-particle quantum wave functions
- Glenn R. Shaferdeveloped Dempster-Shafer theory of evidence
- Grady Boochauthored Booch method; co-developed the Unified Modeling Language
- Greg S. Corradoco-authored word2vec; co-founded Google Brain
- Gregory Chananoriginal author and core maintainer of PyTorch
- H. Sebastian Seungco-developed non-negative matrix factorization algorithm
- Hado van Hasseltintroduced Double Q-learning
- Hans BerlinerBKG beat backgammon champion; led Hitech chess machine, B-star search
- Hans J. Briegelco-introduced the one-way (measurement-based) quantum computer
- Hans Kampintroduced discourse representation theory (DRT)
- Hans MoravecLed lab developing 3D occupancy grids for robot spatial representation
- Hans-Paul Schwefelhelped develop evolution strategies for numerical optimization
- Hans-Peter KriegelDeveloped R*-tree, DBSCAN, OPTICS and Local Outlier Factor
- Harald Weinfurterco-authored the first experimental quantum teleportation
- Hartmut Nevenfounded and led Google Quantum AI, behind Sycamore and Willow
- Hector LevesqueProposed the Winograd Schema Challenge; co-developed GOLOG
- Heiga Zenoriginal author of HTS speech synthesis; co-authored WaveNet
- Heng-Tze Chengfounded and led Wide & Deep Learning for recommender systems
- Henri Pradeco-developed possibility theory for reasoning under uncertainty
- Henry Fuchsco-developed the binary space partitioning (BSP) tree
- Herbert Bayco-authored the SURF interest point detector and descriptor
- Herbert FreemanInvented the chain code for representing line drawings
- Hermann Neyco-developed Kneser–Ney smoothing; GIZA++ alignment; speech recognition beam search
- HERSCHEL A. RABITZinvented learning-algorithm approach to coherent quantum control
- Hongyu Renco-created GPT-4o and OpenAI reasoning models; led post-training group
- Hovav Shachamintroduced return-oriented programming
- Hugh Durrant-Whytenonlinear filtering work leading to SLAM for robot navigation
- Hugo Touvronfirst author of LLaMA foundation language models
- Hyeonwoo Nohled visual understanding research for GPT-4
- I. J. Goodoriginated the concept of an intelligence explosion
- Ian Horrocksdesigned the W3C OWL ontology language and its reasoning algorithms
- Ian Wittenintroduced tabular TD(0); led widely used Weka toolkit
- Ido Daganco-established the textual entailment recognition paradigm
- Illia Polosukhinco-authored the Transformer paper
- Ilya Sutskeverco-developed AlexNet, the ImageNet-winning network
- Iryna Gurevychco-developed Sentence-BERT sentence embeddings
- Isabelle Guyonco-developed the support vector machine with Vladimir Vapnik
- Ivan Laptevintroduced Space-Time Interest Points for video
- Ivar Jacobsonintroduced use cases; developed OOSE; co-developed UML
- Iz Beltagyresearch lead of OLMo; co-introduced Longformer and SciBERT
- J. C. R. Lickliderled ARPA information processing research that led to ARPANET
- J. I. Ciracco-proposed the trapped-ion quantum computer with Peter Zoller
- J. Strother Mooreco-created Boyer-Moore theorem prover, string-search algorithm, and ACL2
- Jacob Devlinco-wrote BERT, bidirectional Transformer pre-training
- Jakob Uszkoreitco-authored the Transformer paper
- Jakub Pachockiled GPT-4 research at OpenAI
- James C. Bezdekdeveloped the fuzzy c-means clustering algorithm
- James E. Rumbaughcreated OMT and co-created the Unified Modeling Language
- James Kennedyco-originated particle swarm optimization with Russell Eberhart
- James Pustejovskyauthored The Generative Lexicon theory of word meaning
- Jamie Kirosco-invented layer normalization
- Jan Koenderinkoriginated scale-space image representation in 1984
- Jan Leikeco-authored foundational learning-from-human-preferences experiments
- Janet L. Kolodnerdeveloped case-based reasoning in AI
- Jascha Sohl-Dicksteinintroduced diffusion-based generative models
- Jason Weifirst author of chain-of-thought prompting and FLAN instruction tuning
- Jason Westonco-wrote influential 2008 deep neural networks for NLP paper
- Jay Gambettaled IBM cloud quantum platform and started Qiskit
- Jay McClellandco-founded Parallel Distributed Processing group; interactive activation model
- Jean-Baptiste Alayracfirst author of Flamingo; Gemini multimodal vision co-lead
- Jean-Michel Morelco-introduced non-local means image denoising
- Jeff Deanco-created MapReduce for large-scale distributed data processing
- Jeffrey David UllmanFundamental algorithms and theory for programming language implementation; database theory
- Jeffrey Uhlmannco-developed the Unscented Transform and Covariance Intersection
- Jens Lehmannco-started DBpedia knowledge graph
- Jerry M. Mendelintroduced type-2 fuzzy logic systems; co-created Wang-Mendel method
- Jia Dengcoauthored ImageNet dataset paper
- Jiahui Yuled o4-mini training; co-led Gemini multimodal work
- Jian Sunco-authored deep residual learning (ResNet) and Faster R-CNN
- Jiawei Hanintroduced pattern-growth methods for frequent pattern mining
- Jiri Matasco-introduced MSER and PROSAC for robust image matching
- Jitendra Malikled group behind normalized cuts, shape contexts, R-CNN
- Joakim Nivreleads Universal Dependencies multilingual grammatical annotation project
- Joan Bresnanco-designed Lexical-Functional Grammar
- Joan Brunaco-proposed convolutional networks on graphs (spectral graph CNNs)
- Johan Suykensdeveloped least squares support vector machines
- Johannes L. Schönbergercreated COLMAP structure-from-motion and multi-view stereo pipeline
- John A. Smolinhelped build the first quantum cryptography device with Bennett
- John Cannyinvented the Canny edge detector
- John D. Laffertyco-introduced conditional random fields for sequence labeling
- John F. Sowadesigned conceptual graphs for knowledge representation
- John Gustav Daugmaninvented the iris recognition algorithm
- John Langforddeveloped Vowpal Wabbit online learning system; contextual-bandit recommendation
- John M. Vlissidesco-authored the Design Patterns book
- John R. Andersondeveloped the ACT and ACT-R cognitive architectures
- John Raritydemonstrated path entanglement; early practical quantum cryptography experiments
- John Ross Quinlandeveloped ID3 and C4.5 decision tree induction methods
- John Schulmancoauthored TRPO and Proximal Policy Optimization reinforcement learning methods
- John SearleFormulated the Chinese Room argument; speech act theory
- Jon Doyleintroduced the truth maintenance system for belief revision
- Jon KleinbergInvented the HITS hubs-and-authorities link analysis algorithm
- Jon Louis Bentleyinvented the k-d tree for multidimensional search
- Jonathan Longco-invented fully convolutional networks for semantic segmentation
- Jonathan Rossstarted Google's TPU effort and designed first-generation chip elements
- Jonathan Schaefferled Chinook checkers program and solving of checkers
- Jörg Hoffmanncreated the FF automated planning system
- Joseph F. EngelbergerCo-developed Unimate, the first industrial robot arm on a production line
- Joseph Redmonco-created YOLO real-time object detection
- Joseph Weizenbaumcreated ELIZA, the early conversational program
- Josh Abramsonequal first author of AlphaFold 3
- Joshua Lederbergdiscovered bacterial genetic recombination; co-devised DENDRAL expert system
- Julian Schrittwieserequal-contribution lead author of AlphaGo Zero
- Junyang Linled development and open-sourcing of Alibaba's Qwen model series
- Kai Chenco-authored word2vec word representation papers
- Kai Lico-authored the ImageNet database paper
- Kaiming Hejoint work on ResNet, Mask R-CNN and masked autoencoders
- Kalyanmoy Debdeveloped the NSGA-II multiobjective evolutionary algorithm
- Karen Simonyanco-created VGG deep convolutional networks; co-authored WaveNet
- Kenneth Churchmutual information word association measure from corpus counts
- Kenneth L. McMillansymbolic model checking, recognized with Kanellakis Award
- Kenneth Stanleycreated the NEAT neuroevolution algorithm
- Kenton Leeco-wrote BERT language representation model
- Kevin Bowyerco-authored SMOTE oversampling method for imbalanced data
- Kilian Weinbergerco-authored DenseNet; contributed LMNN and Word Mover's Distance
- Klaus Mølmerco-proposed trapped-ion gate; co-developed Monte Carlo wave-function method
- Klaus-Robert Müllerdeveloped theoretical foundations for support-vector machines with Vapnik
- Koray Kavukcuoglufounded DeepMind deep-learning team behind DQN and WaveNet
- Kristina N. Toutanovaco-authored BERT language model
- Kunle Olukotunled Hydra chip multiprocessor; pioneering multicore and multithreaded processors
- Kyunghyun Choco-authored RNN encoder-decoder and attention for neural translation
- L. R. Rabinerhelped create hidden Markov modeling for speech recognition
- Latanya Sweeneyco-introduced k-anonymity; showed re-identification of anonymous health records
- Laurens van der Maatenco-created t-SNE visualization; co-authored DenseNet
- Laurent Ittico-created the saliency-based model of visual attention
- Laurent Sifreco-authored AlphaGo, AlphaGo Zero, MuZero and Chinchilla papers
- Lawrence J. Fogeldevised evolutionary programming
- Leo de Mouraled the Z3 SMT solver and created the Lean theorem prover
- Léon Bottoustochastic gradient methods and trade-offs of large-scale learning
- Leon Chuapostulated the memristor; co-introduced cellular neural networks
- Leonid Rudinco-developed the total variation method for image denoising
- Levent Alpögeexplicit counterexample to the Jacobian conjecture using AI tools
- Li Denghelped bring deep neural networks into speech recognition with Hinton
- Li-Jia Licoauthored ImageNet large-scale hierarchical image database
- Lila Gleitmanproposed syntactic bootstrapping theory of language acquisition
- Lin Xiaoregularized dual averaging method for stochastic and online learning
- Linda B. Smithshowed shape bias in children's early word learning
- Llion Jonesco-authored the Transformer paper, Attention Is All You Need
- Long Ouyangfirst author of InstructGPT, aligning language models via human feedback
- Lu Fangled ONNX; core contributor to PyTorch and Caffe2
- Lucas Beyerco-authored Vision Transformer; co-led multimodal research
- Łukasz Kaiserco-authored the Transformer architecture
- Luke MetzCo-authored DCGAN; co-developed VeLO learned optimizer
- Luke TierneyR Core Team member building and maintaining R
- Luminița Veseco-created the Chan–Vese active-contour segmentation method
- Lydia E. Kavrakico-developed probabilistic roadmap motion planning
- Madhu Sudanwork on probabilistically checkable proofs and error-correcting codes
- Makoto Nagaoproposed example-based machine translation
- Manfred K. Warmuthinvented the weighted majority online learning algorithm
- Manuel BlumTuring Award work on complexity and cryptography; co-developed CAPTCHA
- Marc AndreessenCo-created the Mosaic graphical web browser
- Marc RaibertLed Leg Lab research establishing scientific basis for dynamic robots
- Marco Dorigointroduced Ant System and ant colony optimisation
- Marco Gorico-authored The Graph Neural Network Model
- Marcus Hutterdeveloped AIXI, a mathematical theory of general intelligence
- Marian CroakHelped establish VoIP fundamentals; over 200 communication patents
- Mark Chenfirst author of Codex code-generation model
- Mark Galesproposed constrained MLLR and Parallel Model Combination
- Mark GirolamiRiemann manifold Langevin and Hamiltonian Monte Carlo methods
- Martha Palmerco-created the Proposition Bank semantic-role annotated corpus
- Martin AbadiTensorFlow large-scale machine learning system
- Martin Hairercreated the theory of regularity structures for stochastic PDEs
- Martin Kaydeveloped chart parsing and functional unification grammar
- Martin RiedmillerDeveloped Rprop; co-authored DQN Nature paper
- Marvin MinskyPerceptrons analysis with Papert; helped found early AI research
- Mary Beckmanco-developed ToBI, the standard for labeling English prosody
- Masahiro Moriintroduced the uncanny valley concept in robotics
- Matei Zahariastarted Apache Spark distributed data processing system
- Matthew Turkco-developed eigenfaces near-real-time face recognition
- Matthijs Douzeco-created the Faiss similarity search library
- Max JaderbergCo-wrote Spatial Transformer Networks
- Max Wellingco-authored Auto-Encoding Variational Bayes and SGLD
- Mehdi Mirzaintroduced conditional GANs; coauthored original GAN paper
- Mehryar Mohricore algorithms underlying many deployed speech recognition systems
- Micha Sharirco-laid foundations of algorithmic motion planning in robotics
- Michael A. Suttoncreated digital image correlation for measuring structural deformation
- Michael BowlingMonte Carlo counterfactual regret solvers for imperfect-information games
- Michael Eladco-created the K-SVD algorithm for sparse representations
- Michael F. Cohendeveloped practical radiosity methods for realistic image synthesis
- Michael Figurnovdesigned the Evoformer architecture for AlphaFold 2
- Michael I. Jordanintroduced Latent Dirichlet Allocation; variational methods for graphical models
- Michael Isarddeveloped Condensation, bringing particle filters to computer vision
- Michael J. Jonesco-created Viola-Jones boosted cascade face detector
- Michael Kassco-wrote Snakes active contour model; optimization in graphics
- Michael Orenco-created the Oren–Nayar rough-surface reflectance model
- Michael P. Georgeffco-created the Procedural Reasoning System and BDI agent architectures
- Michael Tanenhauscreated the visual world paradigm for spoken language comprehension
- Michal Zielinskibuilt data, analytics and inference systems for AlphaFold 2
- Michio Sugenoco-proposed Takagi-Sugeno fuzzy model; introduced Sugeno integral
- Mihir Bellarepractice-oriented provable security and the random oracle model
- Mikhail Belkinco-created Laplacian Eigenmaps; proposed double descent curve
- Miles Congrevehelped establish fragment-based drug design; co-invented Kisqali
- Mira Muratiled OpenAI teams behind DALL-E and ChatGPT
- Miroslaw Truszczynskico-wrote Stable Logic Programming, helping establish answer-set programming
- Mitchell P. Marcuscreated and led the Penn Treebank annotated corpus project
- Murray S. Campbellcore Deep Blue contributor: position evaluation and opening book
- Nancy Levesoncreated the STAMP accident model for system safety
- Navneet Dalalco-invented HOG, a computer-vision feature method
- Nelson Morganco-developed hybrid neural network/HMM speech recognition; co-invented RASTA
- Nicholas Carlinico-developed the Carlini & Wagner adversarial attack algorithms
- Nikhil Srivastavaco-solved the Kadison–Singer problem
- Niki Parmarco-authored the Transformer paper "Attention Is All You Need"
- Nitesh Chawlaco-created SMOTE oversampling for imbalanced classification
- Noam Brownco-built Libratus and Pluribus poker systems beating professionals
- Noam Shazeerco-authored the Transformer and sparse mixture-of-experts papers
- Nobuyuki Otsuinvented Otsu's method for histogram-based image thresholding
- Oded Goldreichco-developed zero-knowledge proofs for NP and multi-party protocols
- Olaf Ronnebergerco-created U-Net for biomedical image segmentation
- Oriol Vinyalsco-authored sequence-to-sequence learning
- P. Jonathon Phillipsco-led FERET face-recognition program and FRVT evaluations
- Partha Niyogico-created Laplacian Eigenmaps for manifold learning
- Pascal R. Van Hentenryckdesigned and implemented CHIP and OPL constraint/optimization languages
- Patrick Esserco-developed latent diffusion; led research on Stable Diffusion's core model
- Paul Christianopioneered deep reinforcement learning from human preferences (RLHF)
- Paul Resnickco-developed GroupLens, the first academic recommender system
- Paul S. Rosenbloomco-developed the Soar cognitive architecture and its chunking mechanism
- Paul Smolenskyco-developed Optimality Theory with Alan Prince
- Paul Violaco-invented the boosted cascade rapid object detector
- Pedro Felzenszwalbdeveloped the deformable parts model for object detection
- Peter J. Flemingbrought Pareto optimality into evolutionary multiobjective optimisation
- Peter Meerco-developed the mean-shift approach to feature space analysis
- Philip Lenzco-developed the KITTI autonomous-driving vision benchmark
- Philip Nicholas Johnson-Lairddeveloped mental-model theory of human reasoning
- Philipp Koehnbuilt Europarl corpus and Pharaoh/Moses phrase-based translation systems
- Phillip RogawayCo-proposed the random-oracle model; co-designed OCB authenticated encryption
- Pieter Abbeelco-authored Trust Region Policy Optimization and Model-Agnostic Meta-Learning
- Piotr Indyklocality-sensitive hashing for approximate nearest-neighbor search
- Piotr Skowronco-introduced the Method of Equal Shares committee rule
- Prafulla Dhariwalleads team building GPT-4o; co-wrote diffusion beats GANs
- Quoc Leintroduced neural architecture search; co-authored sequence-to-sequence learning
- Rachid Derichederived the recursive optimal edge detector from Canny's criteria
- Radford M. Nealslice sampling and practical Hamiltonian Monte Carlo methods
- Radhia Cousotco-created abstract interpretation framework for static program analysis
- Raj ReddyTuring Award-winning work on large-scale AI systems
- Rajat Mongaco-founded and led TensorFlow at Google
- Ramakrishnan Srikantco-authored fast algorithms for mining association rules
- Rangasami L. Kashyapco-developed the Ho-Kashyap linear classification procedure
- Raymond Laflammeco-developed theory of quantum error-correcting codes with Knill
- Raymond Reiterformalized default logic and closed-world reasoning
- Reinhard F. Wernerintroduced Werner states; co-introduced matrix product states
- Richard E. Fikesco-developed the STRIPS automated planning system
- Richard G. Baraniuksingle-pixel camera and foundational compressive sensing contributions
- Richard JozsaDeutsch–Jozsa algorithm; co-invented quantum teleportation
- Richard M. Shiffrinco-developed Atkinson–Shiffrin memory model and SAM model of recall
- Richard P. Gabrielcreated the Gabriel Benchmarks, standard for Lisp implementations
- Richard Zemeldeveloped the autoencoder in doctoral work; co-authored Learning Fair Representations
- Risto Miikkulainenco-introduced NEAT neuroevolution method
- Robert A. Kowalskicontributed logical ideas leading to the design of Prolog
- Robert E. Schapireweak learnability and boosting with Yoav Freund
- Robert Endre Tarjanco-invented splay trees; fundamental algorithms and data structures
- Robert L. Mercerco-developed IBM statistical machine translation models
- Robert M. Grayco-developed the Linde-Buzo-Gray vector quantizer design algorithm
- Robert Mahonyco-developed nonlinear complementary attitude filters (Mahony filter) for drones
- Robert NishiharaCo-created Ray distributed system and RLlib
- Robin R Murphyfounded the search-and-rescue robotics field
- Robin Rombachco-developed latent diffusion models and co-led Stable Diffusion V1
- Roger Shepardinvented nonmetric multidimensional scaling; universal law of generalization
- Ronald Faginproved Fagin's theorem, helping found finite model theory
- Ronald J. Williamsco-authored back-propagation paper; introduced REINFORCE algorithm
- Ronald M. Kaplanco-developed lexical-functional grammar and active-chart parsing
- Ronald Parrco-introduced Least-Squares Policy Iteration for reinforcement learning
- Ronald W. Schaferextended the cepstrum for speech processing and recognition
- Ronan Collobertco-created Torch library and multitask deep NLP network
- Rosalind Picardfounded affective computing with her 1997 book
- Ross Girshicksole author of Fast R-CNN; co-developed R-CNN object detection
- Ross Overbeekdeveloped the AURA automated theorem prover
- Rudolf Ahlswedeco-introduced network coding in "Network information flow"
- S. M. Girvinco-developed circuit QED for superconducting quantum computing
- Saining Xieco-proposed diffusion transformers (DiT) with William Peebles
- Salvatore J Stolfocreated the area of machine learning for computer security
- Sam McCandlishco-authored neural language model scaling laws and GPT-3
- Samy Bengioco-wrote the Torch open-source machine-learning library
- Santosh Divvalaco-wrote YOLO, the real-time object detection paper
- Sebastian Thrunled Stanley to win 2005 DARPA Grand Challenge; Probabilistic Robotics
- Serge Belongieco-created the Microsoft COCO dataset
- Serge Massarexponential lower bounds on extended formulations (Gödel Prize)
- Sergio Verdúformalized multiuser detection for CDMA receivers
- Seymour Papertcoauthored Perceptrons and co-developed the Logo language
- Shakir Mohamedco-introduced normalizing flows for variational inference
- Sham Kakadefoundational theory for reinforcement learning and Gaussian process bandits
- Shaoqing Renco-authored ResNet and Faster R-CNN
- Sherjil Ozairco-authored Generative Adversarial Networks
- Sherry Moorecore coauthor of the TensorFlow machine-learning system
- Shohei Shimizuintroduced LiNGAM, the linear non-Gaussian acyclic model for causal discovery
- Shun-ichi Amariestablished information geometry and proposed the natural gradient
- Simon Kohlcore AlphaFold 2 developer; built its pLDDT uncertainty prediction
- Simon Osinderoco-wrote the fast learning algorithm for deep belief networks
- Simon Willisonco-created the Django web framework
- Soumith Chintalahelped start PyTorch; coauthored DCGAN
- Stanley Osherco-developed total-variation noise removal
- Stefano Ermonco-developed score-based SDE generative modeling and DPO
- Stephane Mallatdeveloped multiresolution wavelet methods and scattering representations
- Stephen Grossbergco-developed adaptive resonance theory with Gail Carpenter
- Stephen Robertsonco-developed BM25 probabilistic retrieval scoring function
- Stephen Wolframcreated Mathematica and the SMP computer algebra system
- Steven M. LaValleinvented the rapidly exploring random tree (RRT) motion planner
- Steven Seitzco-created Photo Tourism and large-scale 3D reconstruction from photos
- Stuart Russellco-wrote the standard AI textbook AI: A Modern Approach
- Surya Gangulico-authored the original diffusion generative model paper
- Susan Careycoined fast mapping; theory of conceptual change in childhood
- Svetlana Lazebnikco-developed spatial pyramid matching, winner of Longuet-Higgins Prize
- Sylvain Gellyco-authored MoGo Go program; co-authored Vision Transformer paper
- Taco Cohendeveloped group-, spherical- and gauge-equivariant neural networks
- Tadayoshi Kohnofirst experimental security analyses of modern automobiles
- Tamara Bergco-created Labeled Faces in the Wild dataset; Baby Talk captioning
- Tamara Koldaco-developed the widely used Tensor Toolbox for MATLAB
- Terence Taoco-proved primes contain arbitrarily long arithmetic progressions
- Tero Karrasprimary author of the StyleGAN family of generative models
- Terrence Sejnowskico-invented the Boltzmann machine with Geoffrey Hinton
- Teuvo Kohoneninvented the self-organizing map
- Thang Luonginvented Luong attention for neural machine translation
- Thomas Broxco-created U-Net and FlowNet; prize-winning optical flow work
- Thomas Glen Diettericherror-correcting output codes, multiple-instance learning, hierarchical RL
- Thomas Hofmannintroduced probabilistic latent semantic analysis
- Thomas Hubertco-authored AlphaGo Zero; co-led AlphaProof development
- Thomas M. Covernearest-neighbor pattern classification rule with Peter Hart
- Thomas N. Kipfco-introduced graph convolutional networks for semi-supervised classification
- Thomas Repsinterprocedural program slicing, dataflow analysis, context-bounded analysis
- Thomas Wiegandedited and co-chaired the H.264/AVC video coding standard
- Thorsten JoachimsSVM-light and SVM-struct learning software
- Timothy Francis Cootesco-developed Active Shape Models and Active Appearance Models
- Tin Kam Hocreated the first random decision forests algorithm
- Tom Drummondco-created the FAST corner detector
- Tomasz ImielińskiStarted association-rule mining with 1993 paper
- Trapit Bansalcocreated OpenAI's o-series reasoning models
- Trevor Darrellco-created Caffe and co-authored fully convolutional networks
- Tri Daointroduced FlashAttention; co-authored Mamba state-space model
- Tsung-Yi Linco-created the Microsoft COCO dataset; co-authored Focal Loss
- Tuomas W. Sandholmco-developed Libratus and Pluribus, poker AIs that beat professionals
- Victor Lempitskyco-proposed domain-adversarial training via gradient reversal
- Victor R. LesserSystem architect of Hearsay-II blackboard architecture
- Victor Shoupco-invented Cramer–Shoup CCA-secure cryptosystem; created NTL
- Vijay Vasudevanco-wrote TensorFlow system paper; co-authored NASNet and AutoAugment
- Vinod Vaikuntanathanco-constructed efficient fully homomorphic encryption from LWE
- Vladimir KolmogorovCharacterized graph-cut-minimizable energies; co-created GrabCut, TRW-S, Blossom V
- Vladimir Lifschitzco-introduced stable model semantics, basis of answer set programming
- Volker Marklled Stratosphere project that became Apache Flink
- Volodymyr Mnihdeep Q-network for Atari; asynchronous actor-critic methods
- W. Bruce Crofthelped develop the language modeling approach to search
- W. Ross Ashbylaw of requisite variety and the Homeostat in cybernetics
- Wei Dongco-wrote the ImageNet paper; developed NN-Descent
- William DallyTorus Routing chip pioneering wormhole routing and virtual-channel flow control
- William Fedusco-introduced Switch Transformers sparse expert models
- William S. Clevelandintroduced LOWESS and LOESS local regression
- Wojciech Zarembadropout regularization for LSTMs; led robot-hand Rubik's Cube team
- Wolfgang Dürco-introduced the W state; co-founded quantum repeater theory
- Xiangyu Zhangco-authored deep residual learning (ResNet)
- Xuezhi Wangco-developed chain-of-thought prompting and self-consistency
- Yaakov Bar-Shalomintroduced probabilistic and joint probabilistic data association filters
- Yangqing Jiacreated the Caffe deep learning framework
- Yarin Galshowed dropout approximates Bayesian inference for uncertainty estimation
- Yee Whye Tehco-developed fast deep belief network learning and hierarchical Dirichlet processes
- Yi Maco-authored Robust Principal Component Analysis; Marr Prize reconstruction work
- Yi Tayco-captained IMO-gold Gemini model; PaLM 2 architecture co-lead
- Yonghui Wufirst author of Google's Neural Machine Translation system paper
- Yoram Singerco-authored adaptive subgradient methods (AdaGrad) for online learning
- Yuanzhong Xuco-created GSPMD automatic parallelization used to train PaLM and Gemini
- Zeming Linled ESMFold protein structure prediction with language models
- Zhibin Goucore contributor to DeepSeek-R1; co-led ToRA tool-integrated reasoning
- Zhou Wangco-developed the structural similarity (SSIM) image quality index