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.
At the same time, our DeepMind Applied team is working with experts in different fields to make meaningful real-world breakthroughs. Our systems are having a major environmental impact by learning how to use vastly less energy in Google’s data centres, and we’re collaborating with clinicians in the UK’s National Health Service on delivering better care for conditions that affect millions of people worldwide.
Our motivation in all we do is to maximise the positive and transformative impact of AI. We believe that AI should ultimately belong to the world, in order to benefit the many and not the few, and we’ll continue to research, publish and implement our work to that end.
- Headquarters London, England, UK
- Year Founded 2010
- Specialties Technology & Internet, Research, 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.
Our system, AlphaFold, which we have been working on for the past two years, builds on years of prior research...
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