UAlberta Expertise Brings DeepMind Lab to Edmonton
In an historic move for the AI community, one of the world’s leading AI research companies, DeepMind, will open its first international research base outside the United Kingdom later this month. The lab will be based in Edmonton and have close ties to the University of Alberta, a research-intensive university with an illustrious record of AI research excellence.
The new lab, to be called DeepMind Alberta, demonstrates DeepMind’s commitment to accelerating Alberta’s and Canada’s AI research community. It also signals the strength of ties between the University of Alberta and one of the world’s leading AI companies. Having been acquired by Google in 2014, DeepMind is now part of Alphabet. DeepMind is on a scientific mission to push the boundaries of AI, developing programs that can learn to solve complex problems without being taught how. DeepMind Alberta will open with 10 employees.
The DeepMind Alberta team will be led by UAlberta computing science professors Richard Sutton, Michael Bowling, and Patrick Pilarski. All three, who will remain with the Alberta Machine Intelligence Institute at UAlberta, will also continue teaching and supervising graduate students at the university to further foster the Canadian AI talent pipeline and grow the country’s technology ecosystem. The team will be completed by seven more researchers, many of whom were also authors on the influential DeepStack paper published earlier this year in Science.
UAlberta’s connections to DeepMind run deep with roughly a dozen UAlberta alumni already working at the company, some of whom played important roles in some of DeepMind’s signature advances with reinforcement learning in AlphaGo and Atari. In addition, one of the world’s most renowned computing scientists, Sutton was DeepMind’s first advisor when the company was just a handful of people.
“I first met with Rich—our first ever advisor—seven years ago when DeepMind was just a handful of people with a big idea. He saw our potential and encouraged us from day one. So when we chose to set up our first international AI research office, the obvious choice was his base in Edmonton, in close collaboration with the University of Alberta, which has become a leader in reinforcement learning research thanks to his pioneering work,” said Demis Hassabis, CEO and co-founder of DeepMind. “I am very excited to be working with Rich, Mike, Patrick and their team, together with UAlberta, and I look forward to us making many more scientific breakthroughs together in the years ahead.”
Sutton is excited about the opportunity to combine the strength of DeepMind’s work in reinforcement learning with UAlberta’s academic excellence, all without having to leave Edmonton.
“DeepMind has taken this reinforcement learning approach right from the very beginning, and the University of Alberta is the world’s academic leader in reinforcement learning, so it’s very natural that we should work together,” said Sutton. “And as a bonus, we get to do it without moving.”
Working with Hassabis and the DeepMind team both in London and Edmonton, Sutton, Bowling, and Pilarski will combine their staggering academic strength in reinforcement learning to focus on basic AI research. Reinforcement learning functions similarly to the same way humans learn, trying to replicate good outcomes and avoid bad outcomes based on learned experiences.
The DeepMind Alberta announcement is the latest in a slate of AI-related successes for UAlberta. The recent major funding infusion via the federal government’s Pan-Canadian Artificial Intelligence Strategy strengthens the Alberta government’s 15-year investment of more than $40 million. DeepMind Alberta is a further signal that industry is taking notice of UAlberta and its boundary-pushing research.
About the Researchers
A professor in the Department of Computing Science in the University of Alberta’s Faculty of Science, Michael Bowling is best known for his research in poker, most notably with two milestone discoveries, both published in Science, Cepheus in 2015, which solved heads-up limit Texas hold’em followed by DeepStack in late 2016, which achieves professional-level play in heads-up no limit Texas hold’em.
Patrick Pilarski is the Canada Research Chair in Machine Intelligence for Rehabilitation and an assistant professor in the Department of Medicine (Division of Physical Medicine and Rehabilitation). His research interests include reinforcement learning, real-time machine learning, human-machine interaction, rehabilitation technology, and assistive robotics.
A professor in the Department of Computing Science in the University of Alberta’s Faculty of Science, Richard Sutton is world-renowned for his foundational research in reinforcement learning –he literally wrote the textbook–in which machines learn based on their environment. His landmark work has developed the area of temporal difference learning, which uses the future as a source of information for predictions, and also explores off-policy learning, or learning from actions not taken.