DeepMind was founded in London in 2010 and backed by some of the most successful technology entrepreneurs in the world. Having been acquired by Google in 2014, we are now part of the Alphabet group. We continue to be based in our hometown of London, with additional research centres in Edmonton and Montreal, Canada, and a DeepMind Applied team in Mountain View, California.
We’re on a scientific mission to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be taught how. From climate change to the need for radically improved healthcare, too many problems suffer from painfully slow progress, their complexity overwhelming our ability to find solutions. With AI as a multiplier for human ingenuity, those solutions will come into reach.
By implementing our research in the field of games, a useful training ground, we were able to create a single program that taught itself how to play and win at 49 completely different Atari titles, with just raw pixels as input. And in a global first, our AlphaGo program took on the world’s best player at Go - one of the most complex and intuitive games ever devised, with more positions than there are atoms in the universe - and won.
- Headquarters London, England, UK
- Year Founded 2010
- Company Size 51-200 employees
- Specialties Technology & Internet, Research, Deep Learning, Government, Healthcare
DeepMind Applied builds real-world applications of AI technology, working towards the second part of DeepMind's purpose: to use intelligence to help make the world a better place. We collaborate with experts to build tools that support and augment their work in fields from healthcare to energy efficiency, and apply our cutting-edge research to help improve Google’s products and services. Drawing on the best available technologies, together with our own original research, we’re making meaningful breakthroughs in addressing some of society’s biggest and most complex challenges.
The algorithms we build are capable of learning for themselves directly from raw experience or data, and are general in that they can perform well across a wide variety of tasks straight out of the box. Our world-class team consists of many renowned experts in their respective fields, including but not limited to deep neural networks, reinforcement learning and systems neuroscience-inspired models.
Products and Case Studies
Deepmind - Dqn
We leveraged recent breakthroughs in training deep neural networks to show that a novel end-to-end reinforcement learning agent, termed a deep Q-network (DQN), was able to surpass the overall performance of a professional human reference player.
Deepmind - Alphago
AlphaGo is the first computer program to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history.
Deepmind - Dnc
We introduced a form of memory-augmented neural network called a differentiable neural computer (DNC), and demonstrated that it can learn to use its memory to answer questions about complex, structured data.
Our system, AlphaFold, which we have been working on for the past two years, builds on years of prior research...
In August, we announced the first stage of our joint research partnership with Moorfields Eye Hospital, which showed how AI...
Case Study : The Promising Role Of Ai In Helping Plan Treatment For Patients With Head & Neck Cancers | Deepmind
Early results from our partnership with the Radiotherapy Department at University College London Hospitals NHS Foundation Trust suggest that we...
In 2016, DeepMind and Google jointly developed an AI-powered recommendations system to improve the energy efficiency of Google’s already highly-optimised...
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