Faculty members Geoffrey Hinton, Gennady Pekhimenko and Raquel Urtasun, along with alumnus Nick Frosst, discuss Toronto’s status as a leading hub for AI.
Associate Professor Aleksandar Nikolov is among the experts quoted on a long-sought advance in the mathematics of fair division, bringing researchers closer to proving a 30-year-old conjecture.
Associate Professor Sanja Fidler launches a Toronto startup aimed at using AI-generated simulated worlds to train robots, securing US$90-million in venture funding.
In an op-ed, Professor, Teaching Stream Michelle Craig, Professor, Teaching Stream Karen Reid and co-authors argue that computing education must be fundamentally reimagined now that AI tools can write code on students' behalf.
Recent U of T computer science graduate Yuchen Wang is featured for his research applying AI to patient care, including work at Toronto Rehab and the Vector Institute.
Professor Lisa Strug argues that data science must be central to Canada's AI strategy — and that without more funding and training, AI tools risk producing unreliable results.
An examination of AI-powered plain-language database tools features Professor Nick Koudas on the risks of queries that look correct but miss what a user actually meant.
Assistant Professor Gururaj Saileshwar explains a newly discovered weakness that could let attackers take full control of a computer by exploiting its graphics card memory.