Solve intelligence. Use it to make the world a better place.

DeepMind is the world leader in artificial intelligence research and its application for positive impact.

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.

If we’re successful, we believe this will be one of the most important and widely beneficial scientific advances ever made, increasing our capacity to understand the mysteries of the universe and to tackle some of our most pressing real-world challenges. 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.

As in all long-term research efforts there are many hurdles ahead, but our team of renowned scientists and engineers is making exciting progress.

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.

The progress we’ve made is in part down to our approach, which combines the long-term thinking and interdisciplinary collaboration of academia, the energy and focus of a technology start-up, and the social purpose of a team fervent about amazing impact.

We set our own independent research agenda and roadmap as an autonomous company in the Alphabet group. We’re committed to openly publishing our work, with over 200 peer-reviewed papers, including in Nature and Science.

Recognising that there are strong opinions on the safe and ethical use of AI, and that no one team has all the answers, we’re also deeply involved in working through these issues with wider academic and research communities.

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.

The company

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.

Dr Demis Hassabis

Co-Founder & CEO, DeepMind

Demis is a former child chess prodigy, who finished his A-levels two years early before coding the multi-million selling simulation game Theme Park aged 17. Following graduation from Cambridge University with a Double First in Computer Science he founded the pioneering videogames company Elixir Studios producing award winning games for global publishers such as Vivendi Universal. After a decade of experience leading successful technology startups, Demis returned to academia to complete a PhD in cognitive neuroscience at UCL, followed by postdocs at MIT and Harvard, before founding DeepMind. His research into the neural mechanisms underlying imagination and planning was listed in the top ten scientific breakthroughs of 2007 by the journal Science. Demis is a 5-times World Games Champion, a Fellow of the Royal Society of Arts, and the recipient of the Royal Society’s Mullard Award and the Royal Academy of Engineering's Silver Medal.

Mustafa Suleyman

Co-Founder & Head of Applied AI

Mustafa Suleyman is co-founder and Head of Applied AI at DeepMind, where he is responsible for the application of DeepMind’s technology to real-world problems, as part of DeepMind’s commitment to use intelligence to make the world a better place. In February 2016 he launched DeepMind Health, which builds clinician-led technology in the NHS. Mustafa was Chief Product Officer before DeepMind was bought in 2014 by Google in their largest European acquisition to date. At 19, Mustafa dropped out of Oxford University to help set up a telephone counselling service, building it to become one of the largest mental health support services of its kind in the UK, and then worked as policy officer for then Mayor of London, Ken Livingstone. He went on to help start Reos Partners, a consultancy with seven offices across four continents specializing in designing and facilitating large-scale multi-stakeholder ‘Change Labs’ aimed at navigating complex problems. As a skilled negotiator and facilitator Mustafa has worked across the world for a wide range of clients such as the UN, the Dutch Government and WWF.

Dr Shane Legg

Co-Founder & Chief Scientist, DeepMind

Shane obtained his PhD from IDSIA in Switzerland, supervised by Prof. Marcus Hutter, the leading authority on theoretical models of super intelligent machines. His thesis proposed a formal definition of machine intelligence, for which he was awarded the $10,000 Canadian Singularity Institute research prize. He spent a post doctoral year at the Swiss Finance Institute building models of human decision making, followed by two years at the Gatsby Computational Neuroscience Unit at UCL studying the algorithmic organisation of the brain. In 2010 he co-founded DeepMind Technologies with Demis Hassabis and Mustafa Suleyman. After three years of rapid growth and a number of research breakthroughs, DeepMind was acquired by Google.