DeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory and a subsidiary of Alphabet Inc. Founded in the UK in 2010, it was acquired by Google in 2014 and merged with Google AI's Google Brain division to become Google DeepMind in April 2023. The company is headquartered in London, with research centres in the United States, Canada, France, Germany, and Switzerland.
DeepMind is known for its work in Machine learning and Deep learning, particularly in developing neural network models trained with reinforcement learning to play video games and board games. It made headlines in 2016 after its AlphaGo program beat Lee Sedol, a Go world champion, in a five-game match, which was later featured in the documentary AlphaGo. A more general program, AlphaZero, beat the most powerful programs playing go, chess and shogi after a few days of play against itself using reinforcement learning. DeepMind has since trained models for game-playing (MuZero, AlphaStar), for mathematics (AlphaGeometry, FunSearch), and for algorithm discovery (AlphaEvolve, AlphaDev, AlphaTensor).
History
The start-up was founded by Demis Hassabis, Shane Legg and Mustafa Suleyman in November 2010. Hassabis and Legg first met at the Gatsby Computational Neuroscience Unit at University College London. The goal of the founders was to create a general-purpose AI that could be useful and effective for almost anything. Hassabis said that the start-up began working on artificial intelligence technology by teaching it how to play Atari video games from the 1970s and 1980s, including Breakout, Pong, and Space Invaders. AI was introduced to the games without any programmed knowledge of how to play. After a period flailing around, AI would eventually learn what worked, and over time even become an expert in it. The cognitive processes which the AI goes through are said to be very like those of a human who had never seen the game would use to understand and attempt to master it.
Major venture capital firms Horizons Ventures and Founders Fund invested in the company, as well as entrepreneurs Scott Banister, Peter Thiel, and Elon Musk. Jaan Tallinn was an early investor and an adviser to the company. DeepMind needed a well-funded backer to pay its employees, provide compute resources and further expand. It was courted by Facebook, Musk, Google and some others.
On 26 January 2014, Google confirmed its acquisition of DeepMind for a price reportedly ranging between $400 million and $650 million. The company was afterwards renamed Google DeepMind and kept that name for about two years. In 2014, DeepMind received the "Company of the Year" award from Cambridge Computer Laboratory.
Looking for opportunities to benefit society, DeepMind started a pilot program with the NHS to modernize its information systems which were often still using plain paper and fax machines. In September 2015, DeepMind and the Royal Free NHS Trust signed their initial information sharing agreement to co-develop a clinical task management app, Streams.
After Google's acquisition, the company established an artificial intelligence ethics board. The ethics board for AI research was a mystery, with both Google and DeepMind declining to reveal who sat on the board. DeepMind opened a new unit called DeepMind Ethics and Society and focused on the ethical and societal questions raised by artificial intelligence, featuring prominent philosopher Nick Bostrom as advisor. In October 2017, DeepMind launched a new research team to investigate AI ethics.
In December 2019, co-founder Suleyman announced he would be leaving DeepMind to join the parent company Google, working in a policy role.
In April 2023, DeepMind merged with Google AI's Google Brain division to form Google DeepMind, as part of the company's continued efforts to accelerate work on AI in response to OpenAI's release of ChatGPT to the general public. This marked the end of a years-long struggle from DeepMind executives to secure greater autonomy from Google. In the summer of 2026, DeepMind moved into Google's Platform 37 building in King's Cross Central.
Products and technologies
As of 2020, DeepMind has published over a thousand papers, including thirteen papers that were accepted by Nature or Science. DeepMind received media attention during the AlphaGo period; according to a LexisNexis search, 1842 published news stories mentioned DeepMind in 2016, declining to 1363 in 2019.
Games
Unlike earlier AIs, such as IBM's Deep Blue or Watson, which were developed for a pre-defined purpose and only function within that scope, DeepMind's initial algorithms were intended to be general. They used reinforcement learning, an algorithm that learns from experience using only raw pixels as data input. Their initial approach used deep Q-learning with a convolutional Neural network. They tested the system on video games, notably early arcade games, such as Space Invaders or Breakout. Without altering the code, the same AI was able to play certain games more efficiently than any human ever could. In July 2018, researchers from DeepMind trained one of its systems to play the computer game Quake III Arena.
In 2013, DeepMind published research on an AI system that surpassed human abilities in games such as Pong, Breakout and Enduro, while surpassing state of the art performance on Seaquest, Beamrider, and Q*bert. This work reportedly led to the company's acquisition by Google. DeepMind's AI had been applied to video games made in the 1970s and 1980s; work was ongoing for more complex 3D games such as Quake, which first appeared in the 1990s. In 2020, DeepMind published Agent57, an AI Agent which surpasses human level performance on all 57 games of the Atari 2600 suite. In July 2022, DeepMind announced the development of DeepNash, a model-free multi-agent reinforcement learning system capable of playing the board game Stratego at the level of a human expert.
#### AlphaGo and successors
In October 2015, a computer Go program called AlphaGo, developed by DeepMind, beat the European Go champion Fan Hui, a 2 dan professional, five to zero. This was the first time an artificial intelligence program had beaten a professional Go player. In March 2016, AlphaGo defeated Lee Sedol, a 9 dan world champion, in a five-game match in Seoul, South Korea. The match was watched by an estimated 200 million people worldwide and was later featured in the documentary AlphaGo.
In December 2017, DeepMind introduced AlphaZero, a more general version of AlphaGo that learned to play go, chess and shogi from scratch using self-play and reinforcement learning. AlphaZero beat the most powerful programs playing these games after a few days of training. In 2020, DeepMind published MuZero, which mastered go, chess, shogi and Atari games without needing to know the rules of the game in advance.
AlphaFold and scientific research
In 2020, DeepMind made significant advances in the problem of protein folding with AlphaFold, which achieved state of the art records on benchmark tests for protein folding prediction. In July 2022, it was announced that over 200 million predicted protein structures, representing virtually all known proteins, would be released on the AlphaFold database. This work has been widely recognized as a major breakthrough in biology and medicine.
Large language models and generative AI
Google DeepMind has become responsible for the development of two large language model families: the proprietary Gemini and open-weight Gemma, as well as other generative AI models, such as Imagen (text-to-image), Veo (text-to-video), and Lyria (text-to-music). These models are part of the broader field of Generative AI and Large language model research.
Impact and legacy
DeepMind's work has had a significant impact on the field of Artificial intelligence, particularly in the areas of reinforcement learning and deep learning. Its research has been published in top scientific journals and has influenced the development of AI technologies across various industries. The company's acquisition by Google and subsequent merger with Google Brain has positioned it as a key player in the global AI landscape, competing with other major labs such as OpenAI and Anthropic.
DeepMind's contributions to science, particularly in protein folding, have been compared to the work of Nokia Bell Labs and Xerox PARC in their respective eras. The company's research culture, which combines insights from neuroscience, computer science and mathematics, has been influential in shaping modern approaches to AI development.