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Showing 61-98 of 98 articles
Oriol Vinyals
Oriol Vinyals (born 1983, Sabadell, Catalonia, Spain) is a Spanish machine learning researcher who is a co-founder of Discovery Loop, a public benefit corporation launched on August 5, 2026 with the stated…
Panoptic Segmentation
Panoptic segmentation is a computer vision task that assigns every pixel in an image a semantic class label and, for countable objects, an instance identity.
Paper2Video
Paper2Video (full title: Paper2Video: Automatic Video Generation from Scientific Papers) is a research project from Show Lab at the National University of Singapore that formalizes and evaluates automatic…
Papers
The most influential AI research papers are the small set of publications that introduced the architectures, training methods, and benchmarks that every modern system is built on, from "Attention Is All You…
Pathways (Google AI)
Pathways is the name Google has used for two related but distinct things in its artificial-intelligence work: a research vision for a next-generation AI architecture, first articulated by Jeff Dean in October…
Percy Liang
Percy Liang is an associate professor of computer science at Stanford University and the founding director of the Stanford Center for Research on Foundation Models (CRFM), the lab that coined the term…
Planetary Prediction Engine
Planetary Prediction Engine (PPE) is an experimental geospatial modeling system developed by Google Research.
Program Synthesis
Program synthesis is the task of automatically constructing a program that satisfies a specification expressed at a higher level than the code itself: a logical formula, a set of input-output examples, a…
Proto (Generative Biology)
Proto is an open-source programming framework for generative biology developed by researchers at Stanford University and the Arc Institute.
Quoc V. Le
Quoc Viet Le (Vietnamese: Lê Viết Quốc, born 1982) is a Vietnamese-American computer scientist and a co-founder of Discovery Loop, a public benefit corporation focused on automating machine learning, science…
RAGEN-2
RAGEN-2 is a 2026 research paper and public code extension for diagnosing and mitigating reasoning collapse during reinforcement learning of multi-turn large language model agents.
RWKV-7 (Goose)
RWKV-7, codenamed Goose, is an attention-free, RNN-style large-language-model architecture introduced in March 2025 that runs inference in linear time with constant memory per token while still training in…
Recursive Superintelligence
Recursive Superintelligence is an artificial intelligence research lab that came out of stealth on May 13, 2026 with roughly $650 million in funding at a reported $4.65 billion valuation .
Recursive language model
A recursive language model (RLM) is an inference strategy in which a large language model does not read its input prompt directly.
Redwood Research
Redwood Research is a nonprofit AI safety organization founded in 2021 and headquartered in Berkeley, California, best known for pioneering the "AI control" research paradigm and for its landmark December 2024…
Research & Analysis
Research & Analysis in the AI sense refers to the use of artificial intelligence, especially large language models paired with retrieval-augmented generation, to find information, read sources, summarise…
Retentive Network (RetNet)
RetNet (Retentive Network) is a sequence-modeling architecture proposed by Microsoft Research and Tsinghua University in July 2023 as a successor to the Transformer for large language models.
Richard S. Sutton
Richard Stuart Sutton (born 1957 or 1958) is a Canadian-American computer scientist regarded as one of the founders of modern computational reinforcement learning, and a co-recipient, with Andrew G. Barto
Richard Socher
Richard Socher (born August 1983) is a German-born computer scientist, entrepreneur, and investor best known for pioneering the application of deep learning to natural language processing, for co-authoring the…
Rob Fergus
Rob Fergus is a British computer scientist known for his work in computer vision and deep learning, and a professor of computer science at New York University.
Robin Rombach
Robin Rombach is a German computer scientist and entrepreneur best known as the lead author of the latent diffusion models paper that underpins Stable Diffusion
Sanjay Ghemawat
Sanjay Ghemawat (born 1966) is an American computer scientist and software engineer, best known for co-creating the core distributed-systems infrastructure that powered Google's rise, including the Google File…
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models is a landmark research paper published by OpenAI on January 23, 2020 (arXiv:2001.08361) that established that the test loss of a neural language model falls as a smooth…
Scaling Monosemanticity
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet is the May 21
Segment Anything Model and Dataset (SAM and SA-1B)
Segment Anything Model (SAM) is a promptable image segmentation foundation model released by Meta AI on April 5, 2023 that lets users "cut out" any object in an image with a single click, box, or mask prompt…
Sleeper Agents (paper)
"Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training" is a January 2024 Anthropic research paper (arXiv:2401.05566, submitted 10 January 2024) that deliberately trained large language…
TacticAI
TacticAI is an artificial intelligence system that gives football (soccer) coaches tactical advice on corner kicks.
The Anthropic Institute
The Anthropic Institute is a research organization within Anthropic dedicated to studying the societal challenges posed by increasingly powerful artificial intelligence systems.
The Bitter Lesson
The Bitter Lesson is a short essay by Canadian-American computer scientist Richard S. Sutton, published on his personal blog at incompleteideas.net on March 13, 2019.
Towards Monosemanticity
Towards Monosemanticity is an October 2023 mechanistic interpretability paper from Anthropic that used a sparse autoencoder to decompose the internal activations of a small language model into thousands of…
Toy Models of Superposition
Toy Models of Superposition is a September 2022 mechanistic interpretability paper from Anthropic that shows how a neural network can represent more features than it has dimensions by packing them into…
Training AI to Paint with Code
Training AI to Paint with Code is an experimental AI art project published by designer and researcher Surya Narreddi in March 2026.
Tri Dao
Tri Dao is a computer scientist who created the FlashAttention family of GPU attention algorithms and co-created the Mamba selective state-space architecture
Tülu 3
Tülu 3 is a fully open post-training recipe and a corresponding family of instruction-tuned language models released by the Allen Institute for AI (Ai2) on November 21, 2024.
Weak-to-Strong Generalization
Weak-to-Strong Generalization is an empirical research direction, introduced in a December 2023 paper by OpenAI's Superalignment team
WordNet
WordNet is a large lexical database of English developed at Princeton University beginning in 1985.
Yejin Choi
Yejin Choi (born 1977) is a South Korean-American computer scientist and the Dieter Schwarz Foundation HAI Professor and Professor of Computer Science at Stanford University