Europe

Alan Turing (1912–1954) was a British mathematician whose 1936 paper defined computation with an abstract machine. His 1950 paper proposed the imitation game, now called the Turing test, and he is counted among the founders of artificial intelligence.

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.

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.

An open-weight text-to-image model released publicly by Stability AI on 22 August 2022, built on latent diffusion and small enough to run on consumer GPUs, which made local image generation widely accessible.

The European Commission is the executive body of the European Union: it proposes laws and policies, monitors how they are applied, manages the EU budget and represents the EU externally.

German computer scientist and co-author, with Sepp Hochreiter, of the 1997 LSTM paper. He has directed the Swiss AI lab IDSIA since 1995 and has publicly argued that some contributions to AI deserve more credit.

German computer scientist who co-developed the long short-term memory (LSTM) network, a recurrent neural network design for learning from sequences such as text and speech. He led the xLSTM work in 2024.

British computer scientist born in 1976 who specialises in reinforcement learning. He led DeepMind's AlphaGo project, co-authored the 2013 deep Q-network paper and later founded Ineffable Intelligence.

Demis Hassabis is a British AI researcher and entrepreneur who co-founded DeepMind and was the last author of the 2016 AlphaGo paper. He shared the 2024 Nobel Prize in Chemistry for work on predicting protein structures.

Czech computer scientist and lead author of word2vec, the 2013 methods that learn word vectors from text. His later work includes the fastText library and research on mathematical models that grow in complexity.

Arthur Mensch is a French AI researcher who worked at DeepMind before co-founding Mistral AI in 2023, where he serves as chief executive. He is a co-author of the Chinchilla scaling paper and the Mistral 7B paper.

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.

The 2016 Nature paper describing AlphaGo, which combined deep neural networks with tree search. In October 2015 its distributed version beat the European Go champion Fan Hui 5-0, the first time a program defeated a professional player in full-sized Go without handicap.

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.

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.

Stability AI is a British generative-AI company founded in 2019 in London. It is known for releasing the open-weight Stable Diffusion image model in 2022, and it has since faced copyright lawsuits over training data.

BLOOM is a 176-billion-parameter open multilingual language model released on 12 July 2022 by the BigScience project, with weights available under a responsible-use license.

Mistral AI is a Paris-based company founded in April 2023. It builds open-weight and commercial large language models, the Le Chat assistant and the Vibe coding agent, and it has grown quickly through several large funding rounds.

Sakana AI is a Tokyo research and development company founded in July 2023 by David Ha, Ren Ito and Llion Jones, known for evolutionary model merging, projects such as The AI Scientist, and Japanese-language models named Namazu.

Mistral AI's first model: a 7.3-billion-parameter language model released in September 2023 under the Apache 2.0 license, built to match much larger models on standard benchmarks.

A UK government research body created in 2023 to study the most powerful AI models and AI safety, renamed in 2025 to focus on national security and serious crime. It advises government but has no regulatory power.

An open-weight sparse mixture-of-experts language model from Mistral AI, released in December 2023: 46.7B total parameters but 12.9B used per token, a 32k-token context, and results above Llama 2 70B on most benchmarks.

Black Forest Labs is a German AI lab based in Freiburg im Breisgau, founded in 2024 by Robin Rombach, Andreas Blattmann and Patrick Esser. It develops the FLUX image models and raised a $300 million Series B in December 2025.

The European AI Office is a body inside the European Commission that supports implementation of the EU AI Act and enforces the rules for general-purpose AI models. It was established in February 2024.

Le Chat is Mistral AI's assistant, launched in beta on 26 February 2024. It gained web search, a Pro tier, Deep Research and other features over 2024 and 2025, and on 28 May 2026 it was merged into the Vibe agent.

Mistral Large is the French company Mistral AI's first flagship proprietary large language model, released on 26 February 2024 with a 32K-token context window, native fluency in five languages, and built-in function calling and JSON output.

Mistral AI's second-generation flagship model, released in July 2024 with 123 billion parameters, a 128K-token context window, wide language and code coverage, and weights published under a research license.

FLUX.1 is a family of 12-billion-parameter text-to-image models released by Black Forest Labs on 1 August 2024 in pro, dev and schnell variants. The dev version is open-weight, and the variants carry different licenses.

FLUX.1 Kontext is a family of image models from Black Forest Labs, announced on 29 May 2025, that generates and edits pictures from both text and image inputs. Its open-weight dev variant followed in June 2025.

FLUX.2 is Black Forest Labs' image generation and editing model family, released on 25 November 2025, spanning hosted tiers and open-weight releases, with support for 4-megapixel output and up to 10 reference images.

Mistral AI's flagship model of the Mistral 3 family, released in December 2025: a sparse mixture-of-experts model with 675B total parameters, open weights under Apache 2.0, and image understanding.

FLUX 3 is a multimodal model family from Black Forest Labs, announced on 23 July 2026, covering images, video, audio and action prediction. Its video model became generally available on 4 August 2026.

Kolibri-1 is Aleph Alpha's open-weight German–English mixture-of-experts model: 78.1 billion parameters with 3.46 billion active per token, a 1,048,576-token context window, and weights that fit on a single H200 or B200.

Mistral Large 4 is Mistral AI's flagship open-weight model, with about 1 trillion total parameters, a 1M-token context window and native multimodality. It was previewed on 6 October 2026, and an improved version's weights followed on 29 October 2026.

Durk Kingma is a machine learning researcher and co-author of the variational autoencoder and the Adam optimizer; he has worked at OpenAI, Google Brain / DeepMind and Anthropic.

Bernt Øyvind Børnich is CEO of 1X Technologies, the robotics company he founded in 2014 as Halodi Robotics; its work spans humanoid robots and the Revo1 servo motor.

Koray Kavukcuoglu is a DeepMind computer scientist who co-authored the first deep Q-network paper and later, as Google DeepMind's CTO and Google's chief AI architect, fronted successive Gemini model launches.

Aleph Alpha is the company behind Kolibri, an open-weight model released on 3 October 2026 and built around data sovereignty and German-language specialisation rather than raw scale.

Verne is a Rimac Group company developing an electric two-seater robotaxi with no steering wheel or pedals; with Pony.ai and Uber it launched a commercial driverless service in Zagreb in 2026.

SK hynix is a Korea-headquartered supplier of DRAM and NAND flash memory, and the company that released the first high-bandwidth memory (HBM) and says it has developed and shipped every HBM generation since.

A public research university in Manchester, England, which dates its founding to 1824 and took its present form in 2004; the Manchester Baby, the first electronic stored-program computer, was built there.

University College London (UCL) is a public research university in central London. Geoffrey Hinton led its Gatsby Computational Neuroscience Unit, and Demis Hassabis, a Gatsby postdoctoral researcher, later co-founded DeepMind.

EPFL, the École Polytechnique Fédérale de Lausanne, is a technical university founded in 1853 and renamed in 1969; it organizes its work around three missions: teaching, research and innovation.

A public technical university in Munich, founded in 1868, where Sepp Hochreiter wrote the 1991 thesis that produced the first LSTM results, and where Jürgen Schmidhuber studied and later taught.

Spanish computer scientist (born 1983) who co-invented sequence-to-sequence learning, led DeepMind's AlphaStar research group, and became a technical lead on Gemini before leaving to start Discovery Loop.

Emad Mostaque is a British-Bangladeshi former hedge fund manager who founded Stability AI in 2019 and served as its CEO until he resigned in March 2024.

A Swiss artificial intelligence institute founded in 1988 and now a joint institute of USI and SUPSI, known for LSTM and other neural-network research.

British chip company founded in 2016 in Bristol that designs Intelligence Processing Units for AI workloads; it raised large sums, reported heavy losses, and became a SoftBank Group subsidiary in 2024.

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.

A sparse mixture-of-experts language model from Mistral AI, released in April 2024 under the Apache 2.0 licence with 141 billion total parameters, of which 39 billion are active per token.

Codestral is Mistral AI's family of code models, first released in May 2024 as an open-weight 22B-parameter model with a 32K context window, followed by faster and longer-context versions aimed at IDE code completion.

Mistral NeMo is a 12-billion-parameter language model released by Mistral AI with NVIDIA in July 2024, notable for a 128K-token context window, a new multilingual tokenizer called Tekken, and an Apache 2.0 release.

Pixtral 12B is Mistral AI's first multimodal model, pairing a 12B language decoder with a 400M vision encoder. Released openly under Apache 2.0 in September 2024, it reads images at native resolution and was retired at the end of 2025.

A closed text-to-image model from Black Forest Labs, released on 2 October 2024 and available only through an API. Black Forest Labs said it generates six times faster than its predecessor, and it reached the top of the Artificial Analysis image arena leaderboard.

Ministral 3B and Ministral 8B are two small Mistral AI language models released on 16 October 2024 for on-device and edge use, offering long context, low API prices and, for the 3B, performance Mistral claimed beat its earlier 7B model.

Pixtral Large is Mistral AI's open-weight multimodal model announced on 18 November 2024, built on Mistral Large 2, combining a 123B-parameter decoder with a 1B vision encoder and a 128K-token context window. It was retired in May 2026.

Mistral Small 3 is a 24-billion-parameter open-weight language model from Mistral AI, released in January 2025 under Apache 2.0 and tuned for low-latency inference on a single GPU or laptop.

Mistral Small 3.1 is an open-weight model released by Mistral AI in March 2025 that adds image understanding and a 128K-token context window to the Small line, runs on a single consumer GPU, and was later superseded by newer Small releases.

Mistral Medium 3 is a proprietary model released by Mistral AI on 7 May 2025, marketed as a mid-sized system that nears larger competitors at a much lower price and can be self-hosted on four GPUs.

Magistral is Mistral AI's first family of reasoning models, launched in June 2025 with an open-weight Small model and an enterprise Medium model. It supports multilingual reasoning and was later updated and retired.

Voxtral is Mistral AI's family of speech-understanding models, released on 15 July 2025 in 24B and 3B sizes under Apache 2.0; it transcribes long audio, answers questions about it, and turns spoken requests into function calls.

Mistral Vibe is Mistral AI's open-source command-line coding agent, announced in December 2025 with Devstral 2; it later grew into a broader agent product with cloud sandbox sessions, a VS Code extension and monthly plans.

A 128B-parameter open-weights multimodal model from Mistral AI, listed in April 2026 for agentic and coding work, briefly the default in Le Chat before being superseded by Mistral Large 4.

Shane Legg is a New Zealand AI researcher and co-founder of DeepMind, known for helping popularise the term "artificial general intelligence" and for leading the company's AGI safety work.

XRCE's computer-vision team competed in the ImageNet challenge and won the 2011 classification task using high-dimensional image signatures, product quantization and linear SVMs; its Fisher-vector methods performed strongly across the 2010–2014 challenges.

First author of the latent diffusion paper that underlies Stable Diffusion, and later co-founder and CEO of Black Forest Labs, the company behind the FLUX image models.

Andreas Blattmann is a researcher on generative image models, second author of the latent diffusion paper behind Stable Diffusion, co-author of the Stable Diffusion 3 paper, and a 2024 co-founder of Black Forest Labs, which released the FLUX.1 models.

Patrick Esser is a researcher on generative image and video models: a co-author of the latent diffusion paper that became the basis of Stable Diffusion, lead author of the Stable Diffusion 3 paper, and a 2024 co-founder of Black Forest Labs.

French entrepreneur who co-founded Hugging Face in 2016 and serves as its CTO, building the platform where open models and datasets are shared and speaking publicly for open-source AI.

Thomas Wolf is a co-founder and chief science officer of Hugging Face, and the first author of the 2019 paper that introduced the company's open-source Transformers library to researchers and practitioners.

Clément Delangue is a French entrepreneur who co-founded Hugging Face in 2016 and runs it as CEO, leading its shift from a chatbot app to an open machine-learning platform and model hub.

Bolt describes itself as Europe's first multi-modal mobility app, offering ride-hailing, car sharing, scooters and food and grocery delivery, with more than 200 million passengers and 4.5 million earning partners.

Timothée Lacroix is a co-founder and the Chief Technology Officer of Mistral AI, and a co-author of the LLaMA paper and the Mistral 7B paper.

Guillaume Lample is a co-founder and Chief Science Officer of Mistral AI. He was the last of 14 authors on the LLaMA paper and co-authored the Mistral 7B paper.

Codestral Mamba is a 7B open code model from Mistral AI, released in July 2024, that swaps the Transformer for the Mamba state-space architecture to get linear-time inference.

A 7-billion-parameter model released by Mistral AI on 16 July 2024 for mathematical and STEM reasoning, built on Mistral 7B, openly licensed, and now listed as deprecated.

Mistral OCR is a document-understanding API released by Mistral AI on 6 March 2025 that reads text, tables, equations and embedded media across thousands of scripts and languages, and was later superseded by newer OCR versions.

Voxtral TTS is Mistral AI's first text-to-speech model, released in March 2026: about 4B parameters, nine languages, cloning from a three-second clip, open weights for non-commercial use and an API priced per character.

Robostral Navigate is Mistral AI's first embodied navigation model: an 8-billion-parameter system that steers wheeled, legged or flying robots from RGB images and a plain-language instruction, using a single ordinary camera and no depth sensor.