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 three Nature papers in 18 months and over 100 peer-reviewed papers. 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
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