AI could be one of humanity’s most useful inventions

Who we are

We’re a team of scientists, engineers, ethicists and more, committed to solving intelligence, to advance science and benefit humanity.

Our story

We’ve always been fascinated by human intelligence – it shaped the modern world we live in today. 

Intelligence allows us to learn, imagine, cooperate, create, communicate, and so much more. By better understanding different aspects of intelligence, we can use this knowledge as inspiration to build novel computer systems that learn to find solutions to difficult problems on their own. 

Finding answers

Like the Hubble telescope that helped us look deeper into space, these tools are already expanding human knowledge and making positive global impact. 

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). 

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

Where we began

When we started DeepMind in 2010, there was far less interest in the field of AI than there is today. To accelerate the field, we took an interdisciplinary approach, bringing together new ideas and advances in machine learning, neuroscience, engineering, mathematics, simulation and computing infrastructure, along with new ways of organising scientific endeavour.

We achieved early success in computer games, which researchers often use to test AI. One of our programs learned to play 49 different Atari games from scratch, just from seeing the pixels and score on the screen. Our AlphaGo program was also the first to beat a professional Go player, a feat described as a decade ahead of its time.

Recent progress

We joined forces with Google in 2014 to accelerate our work, while continuing to set our own research agenda. Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

Scientific breakthroughs

These projects build on our breakthroughs published in Nature, Science, and other scientific journals. While there are many unresolved research questions, we're excited at the progress we've made towards making systems capable of creativity and problem-solving.

Real-world impact

We regularly partner with other experts, finding ways to apply our advances to real-world challenges. So far, we've created systems to help save energy, identify eye disease, accelerate scientific discovery, and improve Google products used across the world.

Latest research

Our teams work across some of the most complex challenges in computer science. Explore our research and publications covering a range of disciplines, including neuroscience, machine learning, robotics, language, computer vision, and environments.

Our global community

Giving back to the AI community

We’re inspired by those who came before us and are proud to be a dedicated part of the AI community today. As active members of the academic community, many of our team regularly teach at universities around the world. We also fund scholarships helping students from underrepresented backgrounds get involved in AI.

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Global labs

We started as an interdisciplinary team based in London, and have opened labs across the UK, USA, Canada, and France. DeepMind is home to scientific researchers, ethicists, program managers, game designers, and more. Together, we’re solving some of the most fascinating challenges in AI today. If that sounds exciting, join us!

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We’re on a long-term mission. Our leadership team works across every part of the company and beyond to help chart the right course.

Demis Hassabis

Co-Founder & CEO

Shane Legg

Co-Founder & Chief Scientist

Photo of Lila Ibrahim
Lila Ibrahim

Chief Operating Officer

Koray Kavukcuoglu

Vice President of Research

Colin Murdoch

Chief Business Officer


Our success depends on many teams joining together for a shared goal. No single discipline has all the answers needed to build AI, and we've found that many exciting new ideas come from dedicated collaboration between different fields. Learn more about our dedicated teams and people below.


Our teams work on cutting-edge computer science, neuroscience, ethics, and public policy to responsibly pioneer AI systems. Research scientists and engineers collaborate across DeepMind and with partners to create systems that can benefit all parts of society.


Engineers help accelerate our research by building, maintaining, and optimising tools and environments. From scaling research prototypes to developing bespoke environments, our engineers enable us to perform safe, rigorous experimentation at scale.


Our multidisciplinary group of researchers and engineers collaborate with expert partners on a wide range of scientific problems. From protein folding to quantum chemistry, we’re using AI to unlock some of the most fascinating challenges in the natural sciences.

Ethics & Society

Our interdisciplinary group of policy experts, philosophers, and researchers work with other groups in academia, civil society, and the broader AI community to address using new technologies, putting ethics into practice, and helping society address the impacts of AI.

DeepMind for Google

Researchers and engineers work with partners at Google to apply our systems in the real world. This collaboration has already reduced Google’s energy consumption and improved products that are in the hands of hundreds of millions of people.


Our dedicated teams include experts from program management, people development, travel, property, public engagement and more who work together to maintain, optimise, and nurture our culture and world-leading research.

Access to science

We hope to enable students and those further along in their career to achieve their full potential, regardless of their background. Our internship and scholarship programmes, created in partnership with different organisations, aim to broaden participation in science and protect the future of research and education.

Opportunities for early-career researchers

The DeepMind Academic Fellowship Program provides an opportunity for early-career researchers in the fields of Computer Science and Artificial Intelligence to pursue postdoctoral study and build the experiences and research profile that will enable them to progress to full academic or other research leadership roles in future.

Alongside financial support, DeepMind provides opportunities for fellows to be mentored by senior DeepMind researchers. DeepMind will not direct their research and fellows are free to pursue any research direction they wish.

Fellowships are open to early-career researchers who have completed a PhD in Machine Learning, Computer Science, Statistics or another relevant field by the time they start their postdoc. We particularly encourage candidates who identify as Black to apply because this group is currently underrepresented in AI research.

DeepMind has partnered with three UK universities to launch the Fellowship program. For a detailed eligibility criteria, including how to apply, check out our partner university websites or email the contacts provided.

Queen Mary University of London - Fellow in Machine Learning
University of Cambridge - Fellow in Computer Science
University College London - Fellow in Sustainable Artificial Intelligence

Explore further

Learning resources

Whether you’re a student, researcher or just curious, we want to help you explore the fascinating world of artificial intelligence.

Our talks

Explore selected lectures on the latest in AI, from solving a 50-year-old challenge in biology to pioneering responsibly.

The Podcast

We created DeepMind: The Podcast, a highly praised and award-nominated series, to help answer questions you may have about AI.