AI Co-Mathematician
AI Co-Mathematician is an interactive, agentic research system built by Google DeepMind to help professional mathematicians work on open-ended research problems.
Google DeepMind
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Showing 1-60 of 106 articles
Agent57
Agent57 is a model-free distributed reinforcement learning algorithm developed by Google DeepMind and reported in 2020.
AlphaChip
AlphaChip is a reinforcement-learning method developed by Google DeepMind for designing the physical layout of computer chips, specifically the placement of large circuit components known as macros.
AlphaCode
AlphaCode is an artificial intelligence system developed by Google DeepMind that generates computer programs capable of solving competitive programming problems at a human-competitive level
AlphaCode 2
AlphaCode 2 is a competitive-programming system built by Google DeepMind that uses a fine-tuned version of the Gemini family of language models to generate, filter, and rank candidate solutions to algorithmic…
AlphaDev
AlphaDev is an artificial intelligence system built by Google DeepMind that used deep reinforcement learning to discover faster algorithms for common computing tasks, most notably small-scale sorting and…
AlphaEvolve
AlphaEvolve is an evolutionary coding agent developed by Google DeepMind and announced on May 14, 2025 .
AlphaFold 3
AlphaFold 3 is a biomolecular structure prediction system developed jointly by Google DeepMind and Isomorphic Labs and published in Nature on May 8, 2024.
AlphaFold-Multimer
AlphaFold-Multimer is a deep learning system for predicting the three-dimensional structures of protein complexes, released by Google DeepMind in October 2021 as an extension of AlphaFold 2.
AlphaGenome
AlphaGenome is a unified deep learning model developed by Google DeepMind that predicts thousands of functional genomic properties from raw DNA sequences.
AlphaGenome Atlas
AlphaGenome Atlas is a precomputed catalog of molecular-effect predictions for genetic variants, released by Google DeepMind on September 8, 2026.
AlphaGeometry
AlphaGeometry is a neuro-symbolic artificial intelligence system developed by Google DeepMind that solves competition-level geometry problems at a standard comparable to human Olympiad gold medalists.
AlphaGeometry 2
AlphaGeometry 2 (often abbreviated AG2) is a neuro-symbolic artificial intelligence system built by Google DeepMind that solves Olympiad-level Euclidean geometry problems by pairing a Gemini-based language…
AlphaGo Zero
AlphaGo Zero is a Go-playing computer program developed by DeepMind that reached a superhuman level entirely through self-play reinforcement learning, starting from random play with no human game data.
AlphaMissense
AlphaMissense is a machine learning model from Google DeepMind that predicts whether a missense variant, a single amino-acid substitution in a protein, is likely to cause disease.
AlphaProof
AlphaProof is a reinforcement-learning system from Google DeepMind that finds and verifies formal mathematical proofs in the Lean 4 theorem prover
AlphaProof Nexus
AlphaProof Nexus is a formal proof search system from Google DeepMind that pairs a general-purpose language model with the Lean proof assistant in an agentic loop, submitting each candidate proof step to the…
AlphaProteo
AlphaProteo is a machine learning system developed by Google DeepMind for the de novo design of high-affinity protein binders, novel proteins that attach tightly to a chosen target.
AlphaQubit
AlphaQubit is a neural-network decoder for quantum error correction developed jointly by Google DeepMind and Google Quantum AI.
AlphaStar
AlphaStar is an artificial intelligence system built by Google DeepMind that in 2019 became the first AI to reach Grandmaster level in the real-time strategy game StarCraft II
AlphaTensor
AlphaTensor is an artificial-intelligence system from DeepMind that uses deep reinforcement learning to discover faster algorithms for matrix multiplication.
AlphaZero
AlphaZero is a general-purpose reinforcement learning algorithm developed by DeepMind that taught itself to play chess, shogi (Japanese chess), and Go at a superhuman level from scratch, using only the rules…
BIG-Bench Extra Hard
BIG-Bench Extra Hard (BBEH) is a reasoning benchmark released by Google DeepMind in February 2025 that replaces each of the 23 tasks in BIG-Bench Hard (BBH) with a new
BigGAN
BigGAN is a class-conditional generative adversarial network that, when introduced by DeepMind researchers Andrew Brock, Jeff Donahue, and Karen Simonyan in 2018, set a new state of the art for AI image…
Chinchilla
Chinchilla is a 70-billion-parameter transformer large language model and an accompanying family of compute-optimal scaling laws, both introduced in the March 2022 paper Training Compute-Optimal Large Language…
DQN
The Deep Q-Network (DQN) is a model-free, off-policy reinforcement learning algorithm that combines Q-learning with a deep neural network function approximator, learning to act directly from raw pixels.
David Silver
David Silver is a British computer scientist whose work has defined the modern field of deep reinforcement learning and computer game-playing.
Demis Hassabis
Sir Demis Hassabis (born July 27, 1976) is a British artificial intelligence researcher, neuroscientist, video game designer, and entrepreneur who is the co-founder and Chair of Google DeepMind, the Chief…
DiLoCo
DiLoCo (Distributed Low-Communication training) is a distributed optimization algorithm for neural networks introduced by Google DeepMind in November 2023 to train large language models across loosely…
DiffusionGemma
DiffusionGemma is an experimental open-weight large language model developed by Google DeepMind for multimodal text generation through discrete diffusion.
ERQA
ERQA (Embodied Reasoning Question Answering) is a multimodal benchmark released by Google DeepMind in March 2025 to evaluate the embodied reasoning capabilities of vision-language models (VLMs) on robotics…
Flamingo (visual language model)
Flamingo is a family of visual language models (VLMs) built by DeepMind and introduced in April 2022 that brought few-shot, in-context learning to multimodal inputs.
Frontier Safety Framework (Google DeepMind)
The Frontier Safety Framework (FSF) is Google DeepMind's risk-management framework for identifying and mitigating severe risks from advanced frontier AI models, first published on 17 May 2024 and updated to…
FunSearch
FunSearch is a method from Google DeepMind that pairs a large language model with an automated evaluator to discover new solutions to hard problems in mathematics and computer science.
GNoME
GNoME (Graph Networks for Materials Exploration) is a deep-learning system from Google DeepMind that predicts the thermodynamic stability of inorganic crystals and uses those predictions to search for new…
Gato (DeepMind)
Gato is a single generalist AI agent built by DeepMind and described in the May 2022 paper "A Generalist Agent" (arXiv:2205.06175).
Gemini (language model)
Gemini is a family of natively multimodal large language models developed by Google DeepMind, first announced on December 6, 2023, that can reason across text, images, audio, video, and code within a single…
Gemini 1.0
Gemini 1.0 is the first generation of Gemini, the family of natively multimodal AI models that Google DeepMind announced on 6 December 2023 .
Gemini 1.5 Flash
Gemini 1.5 Flash is a lightweight, low-latency multimodal large language model from Google DeepMind, released at Google I/O on May 14, 2024, as the fast and cost-efficient member of the Gemini 1.5 family.
Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal large language model developed by Google DeepMind and announced on February 15, 2024, as the flagship model of the Gemini 1.5 generation.
Gemini 2.0 Flash
Gemini 2.0 Flash is a fast, low-cost multimodal large language model built by Google DeepMind as the flagship workhorse of the Gemini 2.0 generation, designed for the agentic era with native tool use, a 1…
Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is an experimental reasoning model released by Google as part of the Gemini 2.0 family.
Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is a large language model developed by Google DeepMind and released as the most cost-efficient member of the Gemini 2.0 model family.
Gemini 2.5 Deep Think
Gemini 2.5 Deep Think is Google DeepMind's enhanced reasoning mode for the Gemini 2.5 Pro model that uses a technique called "parallel thinking" to explore many candidate solution paths at once before…
Gemini 2.5 Flash
Gemini 2.5 Flash is a fast, cost-optimized multimodal large language model developed by Google DeepMind and the mid-tier member of the Gemini 2.5 family.
Gemini 2.5 Pro
Gemini 2.5 Pro is the flagship reasoning large language model of Google's Gemini 2.5 family, developed by Google DeepMind and first released as an experimental preview on March 25, 2025
Gemini 3
Gemini 3 is the third major generation of the Gemini family of multimodal models from Google DeepMind, launched on November 18, 2025 with Gemini 3 Pro as the flagship and described by Google as "our most…
Gemini 3.1 Pro
Gemini 3.1 Pro is a large language model developed by Google DeepMind and released on 19 February 2026 as a point-release upgrade to Gemini 3 Pro .
Gemini 3.5 Flash
Gemini 3.5 Flash is a fast frontier large language model developed by Google DeepMind, announced at Google I/O 2026 on May 19, 2026 and made generally available the same day .
Gemini 3.5 Transcribe
Gemini 3.5 Transcribe is a family of speech recognition models developed by Google DeepMind and introduced by Google on August 26, 2026.
Gemini 3.8 Flash
Gemini 3.8 Flash is a multimodal model in Google's Gemini family. Google DeepMind released it on September 2, 2026 as a generally available model for software engineering, tool-using agents, and knowledge work.
Gemini 3.8 Flash Cyber
Gemini 3.8 Flash Cyber is a restricted-access model for AI in cybersecurity in Google's Gemini family. Google DeepMind announced it on September 2, 2026 alongside the generally available Gemini 3.8 Flash.
Gemini Diffusion
Gemini Diffusion is an experimental text generation model from Google DeepMind that produces text and code using a diffusion process rather than the autoregressive
Gemini Omni
Gemini Omni is a family of proprietary multimodal AI models from Google DeepMind for generating and editing media.
Gemini Robotics
Gemini Robotics is a family of robot foundation models developed by Google DeepMind that extends the Gemini multimodal model line into the physical world.
Gemini Robotics 2
Gemini Robotics 2 is a family of three robotics models announced by Google DeepMind on July 30, 2026: a vision-language-action (VLA) model of the same name, an embodied reasoning model called Gemini Robotics…
Gemini Ultra
Gemini Ultra (branded Ultra 1.0) was the largest and most capable model in the Gemini 1.0 family, the first generation of natively multimodal large language models from Google DeepMind.
Gemma
Gemma is a family of open-weight models developed by Google DeepMind. The family began in February 2024 with text-only decoder models derived from research used for Google's Gemini systems, then expanded to…
Gemma 2
Gemma 2 is a family of open-weights large language models developed by Google DeepMind and released starting June 27, 2024, in three parameter sizes: 2 billion (2B), 9 billion (9B), and 27 billion (27B).
Gemma 3
Gemma 3 is a family of open-weight large language models developed by Google DeepMind and released on March 12, 2025.