About DeepMind Artificial Intelligence company in London, United Kingdom
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 scie
Weve 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 worlds 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 worlds 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#39;re excited at the progress we#39;ve made towards making systems capable of creativity and problem-solving.
Find out more
Real-world impact
We regularly partner with other experts finding ways to apply our advances to real-world challenges. So far we#39;ve created systems to help save energy identify eye disease accelerate scientific discovery and improve Google products used across the world.
Find out more
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.
Find out more
Our global community
Giving back to the AI community
Were 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.
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 were solving some of the most fascinating challenges in AI today. If that sounds exciting join us!
Leadership
Were 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 amp; CEO
Teams
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#39;ve found that many exciting new ideas come from dedicated collaboration between different fields. Learn more about our dedicated teams and people below.
Research
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.
Find out more Explore Research jobs
Engineering
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.
Find out more Explore Engineering jobs
Science
Our multidisciplinary group of researchers and engineers collaborate with expert partners on a wide range of scientific problems. From protein folding to quantum chemistry were using AI to unlock some of the most fascinating challenges in the natural sciences.
Find out more Explore Science jobs
Ethics amp; Society
O
With AI as a multiplier for human ingenuity, those solutions will come into reach.
