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Craig is honoured to receive the award. "It’s satisfying to have my work recognized," she says.

Work at U of T is already demonstrating how advances in machine learning can accelerate gains in health, education, communication and quality of life, as well as the importance of educating students to think about the ethics of the technology.

"What I like to tell my students is: Computer science is really the study of how you go from being just the user of technology to creators of technology," says award recipient David Liu, an assistant professor, teaching stream.

Nick Frosst, a researcher at Google Brain in downtown Toronto, didn’t require a master’s degree or PhD to launch a career in artificial intelligence research – all he needed was a chance meeting at a bar in Koreatown.

Assistant Professor Joseph Jay Williams investigates how people learn by explaining 'why?', as well as applying statistics and machine learning to modeling how people think.

Toronto’s tech boom – driven in part by artificial intelligence research at the University of Toronto – has prompted talk of a "Silicon Valley North." But those actually ensconced in the Bay Area instead paint a picture of a research-driven innovation hub that’s collaborative, inclusive and uniquely Canadian.

Canada has all the ingredients needed to take advantage of the coming artificial intelligence revolution – a shift that promises to supercharge the growth of a wide range of industries from transportation to health care, according to Jensen Huang, the CEO of graphics chip giant Nvidia.

A multidisciplinary team of students from the University of Toronto and a student from the University of Waterloo have been awarded $10,000 from Royal Bank of Canada's (RBC) Amplify program for designing the "most disruptive" technology to monitor email money transfers.

Computer science undergraduates had a unique set of problems to solve during the University of Toronto’s department of computer science undergraduate summer research project program.

The ride-sharing giant said today it will invest more than $200 million in Toronto over the next five years to expand an existing research lab focused on self-driving cars – led by University of Toronto Associate Professor Raquel Urtasun.

The two academic luminaries recently published companion “Viewpoint” pieces in the prestigious Journal of the American Medical Association (JAMA) that seek to demystify deep learning, a branch of AI.