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Google DeepMind

A London-headquartered AI research organisation formed in 2023 by merging DeepMind with Google's Brain team, known for AlphaGo, AlphaFold and the Gemini model family.

Founded 2010Website deepmind.google Era Statistical learning

2024 · 15 20132026
Events per year
79Models & products57Events17People2Investors & partners

What it is

Google DeepMind is an artificial intelligence research organisation headquartered in London, with research centres in the United States, Canada, France, Germany and Switzerland.[1] It states its mission as "to build AI responsibly to benefit humanity".[2] Demis Hassabis is chief executive officer and Lila Ibrahim is chief operating officer. In 2024 the organisation reported revenue of £1.33 billion and net income of £174 million, and in 2025 it had about 6,000 staff.[1]

Origins

The organisation began as DeepMind Technologies, a company incorporated in London on 23 September 2010 and officially launched on 15 November 2010. Its three founders were Demis Hassabis, Shane Legg and Mustafa Suleyman; Hassabis and Legg had met at University College London's Gatsby Computational Neuroscience Unit.[1] Early investors included the venture firms Horizons Ventures and Founders Fund, as well as Scott Banister, Peter Thiel and Elon Musk, while Jaan Tallinn was an early investor and adviser.[1]

Google confirmed its acquisition of DeepMind on 26 January 2014; the price was reported at $400–650 million.[1] The lab continued to work as a research group inside Google while keeping its London base.

Research milestones

Among the lab's research milestones are work on deep reinforcement learning applied to Atari games, AlphaGo's 4–1 win over Lee Sedol in March 2016, AlphaFold's win at CASP13 in December 2018, and AlphaFold2's CASP14 results in 2020, which were described as comparable to laboratory techniques.[1] Reinforcement learning, in general terms, means training a system by rewarding it for good outcomes rather than telling it the right answer in advance; AlphaFold was aimed at the problem of predicting how a protein chain folds into a three-dimensional shape. Taken together, these results trace a line from game-playing systems to prediction problems in science.

In 2024 Hassabis and John Jumper shared half of the Nobel Prize in Chemistry "for protein structure prediction".[5]

Health work and a departure

In September 2015 DeepMind and the Royal Free London NHS Foundation Trust signed a data-sharing agreement for the Streams app, covering about 1.6 million patients.[1] In July 2017 the UK Information Commissioner's Office ruled that the Royal Free had failed to comply with the Data Protection Act, and on 13 November 2018 DeepMind's health unit and Streams were absorbed into Google Health.[1]

Separately, co-founder Mustafa Suleyman announced in December 2019 that he was leaving DeepMind to join Google in a policy role.[1]

Google DeepMind and the Gemini models

On 20 April 2023 Google merged DeepMind with the Brain team from Google Research to form Google DeepMind, led by CEO Demis Hassabis; Jeff Dean became Chief Scientist of Google Research and Google DeepMind.[3] The merged organisation develops the Gemini model family, first announced on 6 December 2023, which powers Google's Gemini app and developer API.[4]

Gemini 3 was announced on 18 November 2025 by Sundar Pichai, Demis Hassabis and Koray Kavukcuoglu, who was then CTO of Google DeepMind and Chief AI Architect of Google.[6] The Gemini 4 family began with Gemini 4 Argon, made generally available on 13 October 2026, followed by Gemini 4 Carbon on 28 October 2026, initially limited to cyber defenders.[7][8]

Open models and where the organisation sits

Google DeepMind also releases the Gemma family of open models; Gemma 4, released on 2 April 2026, was the first released under the Apache 2.0 license, and by then the Gemma family had passed 400 million downloads.[9]

In a little over a decade the organisation has moved from a small London startup founded by three people to the unit inside Google that builds the Gemini models the company ships in its products and offers to developers, while continuing to publish research in areas such as games, protein structure and open-weight models. It remains headquartered in London, with research staff in five other countries.[1]

CapabilitiesReasoningScience

TechniquesFoundation modelsDeep learning

Ecosystem & regionEurope

HistoryResearch history

20267

  1. ReleaseGoogle announces Gemini 4 Carbon

    Google's frontier model announced on 28 October 2026, released first to cyber defenders and reporting leading scores on intelligence, coding and cybersecurity benchmarks.

  2. ReleaseGoogle launches Gemini 4 Argon

    Google gave Gemini 4 Argon to trusted security partners in September 2026 and released it worldwide on 13 October, opening its newest frontier model to developers, enterprises and subscribers while naming Gemini 4 Carbon as the next model in the family.

  3. ReleaseGoogle releases Gemma 4 under Apache 2.0

    On 2 April 2026 Google DeepMind released Gemma 4, a family of open models ranging from small edge versions to a 31B dense model, now published under the commercially permissive Apache 2.0 license.

  4. ReleaseGoogle releases Gemini 3.1 Pro

    On 19 February 2026 Google released Gemini 3.1 Pro in preview, a model that scored 77.1% on the ARC-AGI-2 reasoning benchmark — more than double Gemini 3 Pro — and was made available the same day in the Gemini app, the Gemini API and Vertex AI.

  5. ReleaseApptronik expands its Series A to $935M

    Apptronik reopened its Series A in February 2026, raising the round to $935 million at a reported $5.3 billion valuation, as the humanoid robot maker pushes Apollo into warehouse and industrial work.

  6. PartnershipApple and Google announce Gemini-based collaboration for Apple's foundation models

    On 12 January 2026 Apple and Google announced a multi-year collaboration in which Google's Gemini models and cloud technology would underpin Apple's next generation of foundation models, while Apple said its privacy standards would stay unchanged.

  7. ReleaseBoston Dynamics partners with Google DeepMind on Atlas

    Boston Dynamics and Google DeepMind announced a partnership at CES 2026 to apply DeepMind's AI foundation models to Boston Dynamics robots, with the humanoid Atlas as the first test case.

202513

  1. ReleaseGoogle launches Nano Banana Pro

    On 20 November 2025 Google released Nano Banana Pro, an image model built on Gemini 3 Pro that emphasises correctly rendered text in multiple languages, Search-grounded infographics and 2K/4K output.

  2. ReleaseGoogle launches Gemini 3

    On 18 November 2025 Google announced Gemini 3, starting with Gemini 3 Pro in preview alongside a harder-reasoning Deep Think variant, and reported top scores on public benchmarks and same-day availability in Search.

  3. ReleaseGoogle DeepMind releases Gemini Robotics 1.5

    On 25 September 2025, Google DeepMind announced Gemini Robotics 1.5, a vision-language-action model that reasons in natural language before acting, and Gemini Robotics-ER 1.5, a higher-level planning model offered to developers in preview.

  4. ReleaseGoogle DeepMind announces the real-time Genie 3 world model

    On 5 August 2025 Google DeepMind announced Genie 3, a world model that turns text into navigable environments generated in real time at 24 frames per second and 720p, released as a limited research preview.

  5. BenchmarkGemini Deep Think achieves gold-medal standard at the IMO

    On 21 July 2025, Google DeepMind announced that an advanced Gemini model with Deep Think reached gold-medal standard at the 2025 International Mathematical Olympiad, solving five of six problems for 35 of 42 points under officially certified grading.

  6. PartnershipGoogle hires Windsurf's CEO in a $2.4 billion deal as OpenAI's acquisition falls apart

    In July 2025 OpenAI's $3 billion deal to acquire the AI coding startup Windsurf collapsed; the same day Google DeepMind hired Windsurf's CEO and top researchers, with Google paying $2.4 billion to license the startup's technology.

  7. ReleaseGoogle launches Veo 3 with native audio

    At Google I/O on 20 May 2025, Google introduced Veo 3, a video generation model that produces audio alongside video, together with the image model Imagen 4, the music model Lyria 2 and the AI filmmaking tool Flow.

  8. ReleaseGoogle DeepMind unveils AlphaEvolve

    On 14 May 2025, Google DeepMind announced AlphaEvolve, a Gemini-powered coding agent that designs algorithms; it reported a better compute-scheduling heuristic, a faster 4×4 matrix multiplication method, and gains on open mathematical problems.

  9. ReleaseGoogle releases Gemini 2.5 Pro, its first "thinking model"

    On 25 March 2025 Google announced Gemini 2.5 and introduced Gemini 2.5 Pro Experimental, a thinking model that debuted at #1 on LMArena and became generally available on 17 June 2025.

  10. ReleaseNVIDIA announces Isaac GR00T N1

    On 18 March 2025 NVIDIA announced Isaac GR00T N1, a humanoid robot foundation model released immediately to robotics developers as the first of a family of customizable pretrained models, alongside open simulation tools.

  11. ReleaseGoogle DeepMind introduces Gemini Robotics

    On 12 March 2025, Google DeepMind introduced two robotics models built on Gemini 2.0: Gemini Robotics, a vision-language-action model that outputs robot actions, and Gemini Robotics-ER, which focuses on spatial and embodied reasoning.

  12. ReleaseGoogle releases Gemma 3

    On 12 March 2025 Google released Gemma 3, a family of four model sizes from 1B to 27B with image input and a 128,000-token context window, alongside ShieldGemma 2, an image-safety checker.

  13. HireFormer Google DeepMind VP Wu Yonghui joins ByteDance Seed

    Wu Yonghui, a former research vice president at Google DeepMind, reportedly joined ByteDance on 17 February 2025 to lead foundational research for the Seed large-model team, reporting directly to CEO Liang Rubo.

202415

  1. ReleaseGoogle releases Veo 2

    On 16 December 2024 Google announced Veo 2, a video model it said could produce clips at up to 4K resolution, and put it in its VideoFX experiment; it reached the Gemini app in April 2025.

  2. ReleaseGoogle introduces Gemini 2.0 for the "agentic era"

    On 11 December 2024 Google announced Gemini 2.0, a model line pitched at the "agentic era", with Gemini 2.0 Flash released first to developers and app users.

  3. ReleaseGoogle DeepMind unveils Genie 2 world model

    Genie 2 is a Google DeepMind world model, announced on 4 December 2024, that turns a single image into a playable, action-controllable 3D world that people or AI agents can explore with a keyboard and mouse.

  4. MilestoneHassabis and Jumper share the Nobel Prize in Chemistry for AlphaFold

    The 2024 Nobel Prize in Chemistry went to David Baker for computational protein design and, jointly, to Demis Hassabis and John Jumper of Google DeepMind for AI-based protein structure prediction. The Academy said their work solved a 50-year-old problem.

  5. PartnershipGoogle licenses Character.AI's technology and rehires Noam Shazeer

    In August 2024 Google signed a non-exclusive deal to license Character.AI's large language model technology and hired co-founder and CEO Noam Shazeer, reportedly paying $2.7 billion; Shazeer returned to a technical lead role on Gemini.

  6. BenchmarkAlphaProof and AlphaGeometry 2 reach IMO silver-medal standard

    On 25 July 2024, Google DeepMind announced that AlphaProof and AlphaGeometry 2 solved four of the six 2024 International Mathematical Olympiad problems, scoring 28 of 42 points. The company said this reached silver-medal level, just below the 29-point gold threshold.

  7. PolicyGoogle DeepMind introduces its Frontier Safety Framework

    On 17 May 2024 Google DeepMind published a framework of protocols for identifying AI capabilities that could cause severe harm, evaluating models against defined Critical Capability Levels, and applying mitigations when a model reaches them.

  8. ReleaseGoogle introduces Gemini 1.5 Flash at I/O 2024

    On 14 May 2024, at Google I/O, Google introduced Gemini 1.5 Flash, a lighter and faster model distilled from Gemini 1.5 Pro, alongside a 2-million-token context window for 1.5 Pro, Project Astra and Gemma 2.

  9. ReleaseGoogle unveils Imagen 3 and Veo at I/O

    On 14 May 2024 at Google I/O, Google announced Imagen 3, its highest-quality text-to-image model at the time, and Veo, a video model producing 1080p clips over a minute long. Both opened in private preview.

  10. ReleaseGoogle DeepMind shows Project Astra at I/O

    At Google I/O on 14 May 2024, Demis Hassabis presented Project Astra, Google DeepMind's vision for future AI assistants: a system that continuously encodes video and speech into a cacheable timeline of events.

  11. ReleaseGoogle DeepMind and Isomorphic Labs unveil AlphaFold 3

    On 8 May 2024, Google DeepMind and Isomorphic Labs announced AlphaFold 3, a model that predicts the structures and interactions of proteins, DNA, RNA and ligands, and that Google reported as the first AI system to outperform physics-based tools for biomolecular structure prediction.

  12. ReleaseNVIDIA announces the Blackwell platform

    On 18 March 2024 NVIDIA announced Blackwell, the GPU platform succeeding Hopper, claiming it can run real-time generative AI on trillion-parameter models at up to 25 times lower cost and energy.

  13. ReleaseGoogle releases Gemma open models

    On 21 February 2024 Google released Gemma, a family of open models in 2B and 7B sizes, with pre-trained and instruction-tuned versions, weights distributed through Kaggle and Hugging Face and terms permitting commercial use by organisations of any size.

  14. ReleaseGoogle announces Gemini 1.5 Pro with a 1-million-token context window

    Announced on 15 February 2024, Gemini 1.5 Pro was a mixture-of-experts model offering a 128,000-token context window by default and up to 1 million tokens in private preview — far more material taken in at once.

  15. PaperAlphaGeometry solves olympiad geometry problems

    On 17 January 2024 Google DeepMind announced AlphaGeometry, a system that pairs a language model with a symbolic deduction engine and solved 25 of 30 olympiad geometry problems in a benchmark, close to the 25.9 averaged by human gold medallists.

20235

  1. ReleaseGoogle DeepMind introduces Gemini

    On 6 December 2023 Google announced Gemini 1.0, a model family built to learn text, images, audio and video together from the start. Google called its largest version its most capable model yet.

  2. PaperGoogle DeepMind's GNoME finds 2.2 million new crystals

    On 29 November 2023 Google DeepMind announced GNoME, a deep-learning system that predicted 2.2 million new crystal structures, 380,000 of them among the most stable; hundreds of the predictions were independently made by outside researchers.

  3. PaperGraphCast weather model is published in Science

    On 14 November 2023, Google DeepMind announced GraphCast; its Science paper reported beating ECMWF HRES on most test variables, and a live version forecast Hurricane Lee's landfall earlier.

  4. ReleaseGoogle DeepMind introduces RT-2 vision-language-action model

    On 28 July 2023, Google DeepMind introduced RT-2, a vision-language-action model that carries knowledge learned from web data over to robot control and roughly doubled generalisation to unseen scenarios compared with its predecessor.

  5. MilestoneGoogle Brain and DeepMind merge into Google DeepMind

    On 20 April 2023 Google announced that its Brain team and DeepMind would merge into one unit, Google DeepMind, led by Demis Hassabis. Google said the goal was to speed up its AI progress and build capable systems safely and responsibly.

20222

  1. MilestoneAlphaFold database expands to over 200 million protein structures

    On 28 July 2022, DeepMind and EMBL-EBI expanded the AlphaFold Protein Structure Database from nearly 1 million to over 200 million predicted protein structures, covering nearly all catalogued proteins known to science.

  2. ReleaseDeepMind introduces AlphaCode for competitive programming

    On 2 February 2022, DeepMind introduced AlphaCode, a system that writes computer programs at a competitive level and, on average, ranked within the top 54% of participants across 10 Codeforces contests.

20212

  1. PaperDeepMind publishes the 280-billion-parameter Gopher

    On 8 December 2021, DeepMind published three language-model papers, including Gopher, a 280-billion-parameter Transformer, alongside a survey of 21 ethical and social risks and RETRO, a retrieval-based model.

  2. PaperAlphaFold2 structure-prediction research appears in Nature

    In July 2021 the journal Nature published the AlphaFold2 paper from DeepMind. The AI system predicts a protein's three-dimensional shape from its amino-acid sequence, and DeepMind then released its code and a free structure database.

20201

  1. BenchmarkAlphaFold2 achieves near-experimental accuracy at CASP14

    On 30 November 2020 DeepMind announced that the organisers of CASP14 had recognised its AlphaFold system as a solution to the 50-year-old protein-folding problem, with accuracy approaching that of experimental methods.

20192

  1. PaperDeepMind describes MuZero, which plans without knowing the rules

    On 19 November 2019, DeepMind posted a MuZero preprint to arXiv: it plans with a learned model rather than rules, matched AlphaZero in Go, chess and shogi, and set a state of the art on 57 Atari games.

  2. PaperAlphaStar reaches Grandmaster level in StarCraft II

    On 30 October 2019, DeepMind announced that AlphaStar reached Grandmaster level in StarCraft II for all three races, ranking above 99.8% of active players and playing under human-like interface limits.[^1]

20181

  1. BenchmarkAlphaFold tops the CASP13 protein-structure assessment

    In December 2018 DeepMind's AlphaFold placed first overall at CASP13, a blind protein-structure prediction assessment, giving the best prediction for 25 of the 43 hardest targets.

20173

  1. PaperDeepMind's AlphaZero masters chess, shogi and Go

    A preprint posted to arXiv by DeepMind on 5 December 2017 described one general reinforcement-learning algorithm that, given only the rules, learned chess, shogi and Go by self-play and reached superhuman level in all three within 24 hours.

  2. PaperAlphaGo Zero learns Go from scratch

    In 2017, DeepMind announced AlphaGo Zero, a Go system that started from random play, learned only by self-play, and outperformed earlier AlphaGo versions with one neural network and far less hardware.

  3. MilestoneAlphaGo beats Ke Jie 3–0 and retires

    In May 2017 AlphaGo beat Ke Jie, then the world's top-ranked Go player, in all three games of a match at the Future of Go Summit in Wuzhen, China. DeepMind retired the program from competition afterwards.

20164

  1. PaperDeepMind introduces WaveNet for raw audio generation

    On 8 September 2016, DeepMind announced WaveNet, a deep neural network that generates raw audio one sample at a time. In blind listening tests it beat Google's existing text-to-speech systems and narrowed the gap to human speech.

  2. MilestoneAlphaGo defeats Lee Sedol 4–1 in Seoul

    In March 2016 DeepMind's AlphaGo beat Lee Sedol, an 18-time world champion Go player, 4–1 in a five-game match in Seoul, a result watched by more than 200 million people worldwide.

  3. PaperAlphaGo paper in Nature reveals win over Fan Hui

    On 27 January 2016 DeepMind announced AlphaGo alongside a paper in Nature reporting that the program had beaten European Go champion Fan Hui 5–0 in October 2015 — the first time a computer program had beaten a professional Go player.

  4. PartnershipThe Partnership on AI is established

    A multi-stakeholder organisation formally established in late 2016 by researchers from six of the world's largest technology companies to study and share best practices in AI, advance public understanding and provide an open platform for discussion of AI's effects on society.

20141

  1. AcquisitionGoogle acquires DeepMind

    On 26 January 2014 Google confirmed its acquisition of DeepMind, the London AI company founded in 2010. The deal brought a small deep-learning research group known for Atari-playing systems into Google and set up a unit later merged with Google Brain.

20131

  1. PaperDeepMind posts its deep Q-network Atari paper

    On 19 December 2013, DeepMind researchers posted a paper showing that one convolutional network, trained with a variant of Q-learning, could learn Atari 2600 control policies directly from raw pixels and outperform prior methods on six of seven games.

Models and products over time

79
  1. 2013
    • Dec 19, 2013 Deep Q-Network (DQN) Model

      A DeepMind reinforcement-learning agent that combined Q-learning with a convolutional neural network to play Atari 2600 games straight from raw pixels, reaching human-level performance on many titles without being told the rules.

  2. 2016
    • Jan 27, 2016 AlphaGo Model

      AlphaGo is a Go-playing program from DeepMind that combined deep neural networks with Monte Carlo tree search. In 2016 it beat top professional Lee Sedol in a widely watched match, a landmark for learned systems.

    • Sep 8, 2016 WaveNet Model

      A DeepMind generative model that predicts raw audio one sample at a time, bringing neural text-to-speech close to human quality and later powering Google Assistant and Cloud Text-to-Speech voices.

  3. 2017
    • Oct 18, 2017 AlphaGo Zero Model

      A DeepMind Go program that learned the game from scratch by playing against itself, using no human game records, and beat earlier versions of AlphaGo within days.

    • Oct 19, 2017 Mastering the game of Go without human knowledge Paper

      AlphaGo Zero learned Go only by playing against itself, starting from random play, and beat the earlier champion-defeating AlphaGo 100 games to 0 after three days of training. The Nature paper appeared in October 2017.

    • Dec 5, 2017 AlphaZero Model

      AlphaZero is a general game-playing system from DeepMind, described in a preprint in December 2017, that reached a superhuman level in chess, shogi and Go within 24 hours starting from random play, using only the rules of each game.

    • Dec 5, 2017 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play Paper

      A 2017 arXiv paper, later published in Science, reporting that a single self-play reinforcement learning algorithm, AlphaZero, mastered chess, shogi and Go and beat strong specialised programs in each.

  4. 2018
    • Dec 2018 AlphaFold (first version) Model

      DeepMind's first protein-structure prediction system, which placed first overall in the 2018 CASP13 blind assessment by estimating probability distributions of distances between residues.

  5. 2019
    • Jan 2019 AlphaStar Model

      AlphaStar is a DeepMind system that plays StarCraft II. In 2019 it reached Grandmaster level with all three races, ranking above 99.8% of active players on Battle.net.

    • Nov 19, 2019 MuZero Model

      MuZero is a DeepMind reinforcement-learning algorithm that pairs tree-based search with a learned model. It reached superhuman play in Atari, Go, chess and shogi without being given the environment's rules.

    • Nov 19, 2019 Mastering Atari, Go, chess and shogi by planning with a learned model Paper

      MuZero is a DeepMind reinforcement-learning algorithm that learns a model of its environment and plans inside that model, mastering Atari, Go, chess and shogi without being given the rules of those games.

  6. 2020
    • Nov 30, 2020 AlphaFold2 Model

      AlphaFold2 is DeepMind's protein structure prediction system, announced in 2020. It reached accuracy competitive with experimental methods in many cases, and work in this area received half of the 2024 Nobel Prize in Chemistry.

  7. 2021
    • Dec 8, 2021 Gopher Model

      Gopher is DeepMind's 280-billion-parameter language model, announced in December 2021 alongside a study of what scale does to language models and a companion taxonomy of their risks.

  8. 2022
    • Feb 2, 2022 AlphaCode Model

      AlphaCode is a DeepMind code-generation system for competitive programming, announced in February 2022. On Codeforces contests held after its training data, it reached an estimated rank around the median participant. A Gemini-based AlphaCode 2 followed in December 2023.

    • Apr 28, 2022 Flamingo Model

      Flamingo is a DeepMind visual language model announced in April 2022. It takes prompts that mix images, videos and text and replies in language, learning new tasks from only a few examples.

    • May 12, 2022 Gato Model

      Gato is a generalist agent from DeepMind, announced on 12 May 2022. A single network with one set of weights handles text, images, Atari games and robot control, aiming at multi-task, multi-embodiment learning.

    • Dec 24, 2022 Learning skillful medium-range global weather forecasting Paper

      GraphCast is a graph neural network trained on four decades of reanalysis data that produces 10-day global weather forecasts at 0.25 degree resolution in under a minute, outperforming the leading operational deterministic systems on most verification targets.

  9. 2023
    • Feb 6, 2023 Gemini app Product

      Google's consumer AI assistant, announced as Bard in 2023 and renamed Gemini in 2024. It is where ordinary users meet Google's Gemini models, first as a chat box and later through voice, research agents and subscriptions.

    • Jul 12, 2023 NotebookLM Product

      A Google research and note-taking tool that answers only from the sources a user supplies and cites the passages it used. Launched in 2023 under the name Project Tailwind, it became widely known for turning documents into podcast-style Audio Overviews.

    • Jul 28, 2023 RT-2 (Robotic Transformer 2) Model

      RT-2 is a vision-language-action model from Google DeepMind, announced on 28 July 2023, that turns images and text instructions into robot actions written as text tokens. In over 6,000 trials it reached 62% on unseen scenarios, up from 32% for RT-1.

    • Nov 14, 2023 GraphCast Model

      GraphCast is a Google DeepMind machine-learning model that makes global weather forecasts up to 10 days ahead, producing a 10-day forecast in under a minute on a single TPU and outperforming ECMWF's HRES on most tested variables.

    • Nov 16, 2023 Lyria Model

      Lyria is Google DeepMind's family of music-generation models, first announced in November 2023. It writes instrumental and vocal music from prompts, carries inaudible SynthID watermarks, and has reached users through YouTube Shorts, Vertex AI and the Gemini API.

    • Nov 29, 2023 GNoME (Graph Networks for Materials Exploration) Model

      GNoME is a Google DeepMind deep-learning tool, announced on 29 November 2023, that predicts new inorganic crystals; it produced 2.2 million candidate structures, of which 380,000 were predicted to be stable.

    • Nov 29, 2023 Scaling deep learning for materials discovery Paper

      A 2023 Nature paper from researchers at Google DeepMind presenting a scaled-up deep-learning approach to predicting stable crystal structures, screening 2.2 million candidates and reporting a large jump in stability-prediction accuracy.

    • Dec 2023 Imagen 2 Model

      Google's second-generation text-to-image model, released in December 2023, whose standout feature was rendering legible text and logos inside generated images.

    • Dec 6, 2023 Gemini 1.0 (Ultra, Pro, Nano) Model

      Gemini 1.0 is the first generation of Google DeepMind's multimodal model family, announced on 6 December 2023 in Ultra, Pro and Nano sizes; Google reported its Ultra version as the first model to beat human experts on MMLU.

  10. 2024
    • Jan 17, 2024 AlphaGeometry Model

      AlphaGeometry is a Google DeepMind system that pairs a neural language model with a symbolic deduction engine to solve olympiad geometry problems, reaching near gold-medal level on a benchmark of 30 problems.

    • Feb 15, 2024 Gemini 1.5 Pro Model

      A mid-size multimodal model in Google's Gemini 1.5 generation, announced in February 2024, known for a context window that reached one million tokens and later two million.

    • Feb 21, 2024 Gemma Model

      Gemma is a family of lightweight open language models from Google DeepMind, released in February 2024 in 2B and 7B sizes, built from the same research and technology as Gemini and offered for commercial use under Google's terms.

    • Feb 23, 2024 Genie Model

      A Google DeepMind generative world model with 11 billion parameters that turns text, images or sketches into controllable virtual worlds, described as the first generative interactive environment trained on unlabelled internet videos without action labels.

    • May 8, 2024 AlphaFold 3 Model

      AlphaFold 3 is a structure-prediction model from Google DeepMind and Isomorphic Labs, announced on 8 May 2024. It predicts the structures and interactions of proteins, DNA, RNA, ligands and chemical modifications, extending structure prediction beyond proteins alone.[^1]

    • May 8, 2024 Accurate structure prediction of biomolecular interactions with AlphaFold 3 Paper

      AlphaFold 3, published in Nature in May 2024, extends structure prediction to biomolecular interactions, reporting greater accuracy than docking tools for protein–ligand binding and than AlphaFold-Multimer v.2.3 for antibody–antigen complexes.

    • May 14, 2024 Project Astra Agent

      Project Astra is a Google DeepMind research prototype of a universal AI assistant that watches and listens while it responds, shown at Google I/O in May 2024 and later rebuilt on Gemini 2.0.

    • May 14, 2024 AI Overviews and AI Mode in Google Search Product

      AI Overviews are AI-written summaries placed at the top of Google Search results, launched across the US in May 2024 and later joined by AI Mode, a separate search experiment. They became one of the most widely used consumer applications of generative AI.

    • May 14, 2024 Imagen 3 Model

      Google's text-to-image model announced at I/O in May 2024, which Google described as its highest-quality image generator, with fewer visual artifacts and improved text rendering.

    • May 14, 2024 Veo Model

      Veo is a generative video model from Google DeepMind, announced at Google I/O on 14 May 2024. Google described it as its most capable video model, able to produce 1080p clips longer than a minute and later succeeded by Veo 2.

    • May 14, 2024 Gemini 1.5 Flash Model

      Gemini 1.5 Flash is a lightweight, fast model in Google's Gemini 1.5 family, announced on 14 May 2024 and trained by distillation from 1.5 Pro, with a 1-million-token context window.

    • Jun 27, 2024 Gemma 2 Model

      Google's second-generation Gemma open models, announced on 27 June 2024 in 9-billion and 27-billion-parameter sizes, using grouped-query attention, an 8,192-token context window and a license permitting commercial use.

    • Jul 25, 2024 AlphaProof Model

      AlphaProof is a Google DeepMind reinforcement-learning system that proves mathematical statements in the formal language Lean. At the 2024 International Mathematical Olympiad it solved three problems, and together with AlphaGeometry 2 reached silver-medal level.

    • Dec 4, 2024 Genie 2 Model

      Genie 2 is a foundation world model from Google DeepMind, announced on 4 December 2024, that turns a single prompt image into a playable 3D environment that a person or an AI agent can explore with keyboard and mouse controls.

    • Dec 11, 2024 Gemini Deep Research Agent

      A feature in the Gemini app that plans multi-step web research, gets the user's approval, browses for a few minutes and returns a report with links to its sources; later offered to developers as a managed agent in the Gemini API.

    • Dec 11, 2024 Project Mariner Agent

      Project Mariner is a Google research prototype of a browser agent, announced with Gemini 2.0 in December 2024. Running as an experimental Chrome extension, it completes web tasks by understanding what is on the screen, and its computer-use capabilities later moved toward Google's developer APIs.

    • Dec 11, 2024 Jules Agent

      Jules is Google's asynchronous AI coding agent: it takes a task such as a GitHub issue, works in a secure cloud virtual machine, and returns a diff for review. It was previewed in December 2024 and reached general availability in August 2025.

    • Dec 11, 2024 Gemini 2.0 Flash Model

      Gemini 2.0 Flash is the first model of Google's Gemini 2.0 generation, released as an experimental model in December 2024 with multimodal output and native tool calling, and made generally available in February 2025.

    • Dec 16, 2024 Veo 2 Model

      Veo 2 is a video-generation model Google announced on 16 December 2024, emphasising real-world physics and human movement, with outputs up to 4K that can extend to minutes.

  11. 2025
    • Feb 5, 2025 Gemini 2.0 Pro Model

      An experimental Google model released in February 2025 as part of the Gemini 2.0 family, described by Google as its best yet for coding and complex prompts, with a 2-million-token context window and tool use.

    • Mar 12, 2025 Gemini Robotics Model

      Gemini Robotics is a vision-language-action model from Google DeepMind, built on Gemini 2.0, that outputs physical actions to control robots. It was announced on 12 March 2025 alongside Gemini Robotics-ER.

    • Mar 12, 2025 Gemma 3 Model

      Gemma 3 is Google's third generation of open Gemma models, released on 12 March 2025 in 1B to 27B sizes, with a 128,000-token context window, image input on the larger variants, and support for more than 140 languages at the pretrained level.

    • Mar 25, 2025 Gemini 2.5 Pro Model

      Gemini 2.5 Pro is Google's first model in the Gemini 2.5 family, released in March 2025 as a "thinking model" with a 1-million-token context window, debuting at number one on LMArena.

    • Apr 17, 2025 Gemini 2.5 Flash Model

      A model in Google's Gemini 2.5 family, released in preview in April 2025 and generally available that June. Google called it its first fully hybrid reasoning model, letting developers turn thinking on or off with a token budget.

    • May 14, 2025 AlphaEvolve Model

      AlphaEvolve is a Google DeepMind coding agent announced on 14 May 2025 that pairs Gemini models with automated evaluators to evolve algorithms, yielding a Borg scheduling heuristic, faster kernels and new mathematical results.

    • May 20, 2025 Imagen 4 Model

      Imagen 4 is a Google text-to-image model announced on 20 May 2025 that outputs images at up to 2K resolution with improved fine detail and typography, shipping in the Gemini app, Whisk, Vertex AI and Workspace before its API models were retired in 2026.

    • May 20, 2025 Veo 3 Model

      Veo 3 is Google's video generation model, announced at Google I/O on 20 May 2025, that generates video with native audio, including dialogue with lip syncing; its outputs carry SynthID watermarks.

    • Jun 17, 2025 Gemini 2.5 Flash-Lite Model

      Gemini 2.5 Flash-Lite is the lowest-cost model in Google's Gemini 2.5 family, built for high-throughput work such as classification and summarisation, with thinking off by default and a controllable thinking budget.

    • Jun 25, 2025 Gemini CLI Agent

      Gemini CLI is an open-source AI agent released by Google on 25 June 2025 that brings Gemini models into the terminal, with a free personal-account tier and support for the Model Context Protocol.

    • Jun 26, 2025 Gemma 3n Model

      Gemma 3n is a mobile-first open model in Google's Gemma family, released in June 2025 in two sizes that run in roughly 2–3 GB of memory and natively accept image, audio, video and text input.

    • Aug 1, 2025 Gemini 2.5 Deep Think Model

      An enhanced reasoning mode for Gemini 2.5 Pro that weighs multiple hypotheses in parallel before answering, announced experimentally in 2025 and known for reaching gold-medal standard at the International Mathematical Olympiad.

    • Aug 5, 2025 Genie 3 Model

      Genie 3 is Google DeepMind's general-purpose world model, announced on 5 August 2025. It turns text prompts into interactive 720p environments that can be navigated in real time at 24 frames per second, and was released as a limited research preview.

    • Aug 26, 2025 Nano Banana (Gemini 2.5 Flash Image) Model

      Nicknamed "nano-banana", Gemini 2.5 Flash Image is Google's image generation and editing model released on 26 August 2025, able to blend images, keep characters consistent across edits and apply targeted natural-language edits.

    • Sep 25, 2025 Gemini Robotics 1.5 Model

      A pair of robotics models announced by Google DeepMind in September 2025: Gemini Robotics 1.5, a vision-language-action model that reasons in natural language before it moves, and Gemini Robotics-ER 1.5, an embodied-reasoning planner that can call tools.

    • Oct 15, 2025 Veo 3.1 Model

      Veo 3.1 is an October 2025 update to Google's Veo 3 video model, adding audio across Flow's features plus new editing tools; its API previews were retired in October 2026.

    • Nov 18, 2025 Google Antigravity Agent

      Google Antigravity is a free, agent-first software development platform released by Google on 18 November 2025 for macOS, Windows and Linux, which runs Gemini models alongside rival models and later expanded into a CLI, SDK and managed API agent.

    • Nov 18, 2025 Gemini 3 Pro Model

      Gemini 3 Pro is the first model of Google's Gemini 3 generation, released in preview in November 2025 with a 1-million-token context window and top-ranked results on arena leaderboards and reasoning, coding and multimodal benchmarks.

    • Nov 20, 2025 Nano Banana Pro (Gemini 3 Pro Image) Model

      Nano Banana Pro (Gemini 3 Pro Image) is Google's image generation and editing model built on Gemini 3 Pro, announced on 20 November 2025. It renders legible text, pulls live information from Search, and outputs up to 4K.

    • Dec 3, 2025 Gemini 3 Deep Think Model

      Gemini 3 Deep Think is Google's enhanced reasoning mode for Gemini 3, announced with Gemini 3 Pro on 18 November 2025 and released to Google AI Ultra subscribers on 3 December 2025, with an upgraded version following in February 2026.

    • Dec 17, 2025 Gemini 3 Flash Model

      Gemini 3 Flash is a fast, lower-cost model in Google's Gemini 3 family, released on 17 December 2025. It scored close to Gemini 3 Pro on several benchmarks while using fewer tokens and costing far less per token.

  12. 2026
    • Feb 19, 2026 Gemini 3.1 Pro Model

      Gemini 3.1 Pro is Google's preview upgrade to Gemini 3 Pro, released on 19 February 2026, scoring a verified 77.1% on ARC-AGI-2 and shipped through the Gemini API, the Gemini app and NotebookLM.

    • Feb 26, 2026 Nano Banana 2 (Gemini 3.1 Flash Image) Model

      Nano Banana 2 is Google's product name for Gemini 3.1 Flash Image, an image generation and editing model in the Gemini API, released in preview on 26 February 2026 and later replaced by Nano Banana 2.1.

    • Mar 3, 2026 Gemini 3.1 Flash-Lite Model

      Gemini 3.1 Flash-Lite is a low-cost, low-latency multimodal model in Google's Gemini 3 family, released in preview in March 2026 and generally available from May 2026 for high-frequency, lightweight tasks.

    • Apr 2, 2026 Gemma 4 Model

      Gemma 4 is Google's fourth generation of open-weight models, released in April 2026 and built on the same research and technology as Gemini 3, ranging from phone-sized E2B and E4B to a 26B mixture-of-experts and a 31B dense model.

    • May 19, 2026 Gemini Spark Agent

      Gemini Spark is Google's personal AI agent inside the Gemini app, announced at Google I/O on 19 May 2026. It runs around the clock and carries out tasks on the user's behalf, moving from trusted testers to the macOS app and to more than 160 countries.

    • May 19, 2026 Gemini Omni Flash Model

      Gemini Omni Flash is a Google DeepMind generative model that makes and edits video from text, image, audio and video prompts. Video creation arrived in the Gemini app on 19 May 2026, and the model later became the recommended replacement for Google's Veo 3.1 API previews.

    • May 19, 2026 Gemini 3.5 Flash Model

      Gemini 3.5 Flash is Google's first Gemini 3.5 model, announced on 19 May 2026 and built for agentic and coding work; it became the default model in the Gemini app and in AI Mode in Search.

    • Jul 21, 2026 Gemini 3.5 Flash-Lite Model

      The fastest model in Google's Gemini 3.5 series, released in July 2026 for high-throughput agentic work, and slated to replace gemini-3.1-flash-lite and take over traffic from gemini-2.5-flash.

    • Jul 21, 2026 Gemini 3.6 Flash Model

      Gemini 3.6 Flash is the Gemini model Google released on 21 July 2026 and called its workhorse: better coding, knowledge work and multimodal results than 3.5 Flash, fewer output tokens, built-in computer use and tiered pricing.

    • Aug 13, 2026 Gemini 3.7 Flash Model

      A Google model released on 13 August 2026 as its most intelligent workhorse for coding and agents, priced with a scheduled increase and superseded three weeks later by 3.8 Flash.

    • Sep 2, 2026 Gemini 3.8 Flash Model

      Gemini 3.8 Flash is Google's fast, low-cost model released on 2 September 2026, alongside a cybersecurity variant, Gemini 3.8 Flash Cyber, with introductory pricing that doubles at the start of 2027.

    • Oct 13, 2026 Gemini 4 Argon Model

      Gemini 4 Argon is the first model in Google's Gemini 4 family, announced on 30 September 2026 and made generally available on 13 October 2026, built for long multi-step work and shipped with a one-million-token output limit.

    • Oct 28, 2026 Gemini 4 Carbon Model

      Gemini 4 Carbon is a Google DeepMind frontier model announced on 28 October 2026, two weeks after Gemini 4 Argon, with Google claiming state-of-the-art cybersecurity and long-horizon capabilities.

People17

Jan Leike–2021Kaiming HeDemis Hassabis2010–Noam Shazeer2024–2026Mustafa Suleyman2010–2019Arthur Mensch2020–2023Jeff Dean2023–Koray KavukcuogluJohn JumperDavid Silver2013–2026Richard Sutton2017–2023Ian Goodfellow2022–Oriol Vinyals2016–2026Shane Legg2010–Wu Yonghui2023–2025Barret Zoph2026–Aravind Srinivas

Successor of1

Google Brain2023–

Part of1

Google

Notes and sources

  1. Google DeepMindhttps://en.wikipedia.org/wiki/Google_DeepMind
  2. About Google DeepMindhttps://deepmind.google/about/
  3. Google DeepMind: Bringing together two world-class AI teamshttps://blog.google/technology/ai/april-ai-update/
  4. Introducing Gemini: our largest and most capable AI modelhttps://blog.google/technology/ai/google-gemini-ai/
  5. Press release: The Nobel Prize in Chemistry 2024https://www.nobelprize.org/prizes/chemistry/2024/press-release/
  6. A new era of intelligence with Gemini 3https://blog.google/products/gemini/gemini-3/
  7. Gemini 4 Argon: Built to solve your hardest problemshttps://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/
  8. Gemini 4 Carbon: our next frontier modelhttps://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/
  9. Gemma 4: Byte for byte, the most capable open modelshttps://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/

Cite this page: Google DeepMind. TellWorld, https://www.tellworld.net/companies/google-deepmind. Updated 2026-11-08