In The Godfather in Conversation, Geoffrey Hinton explains why, after a lifetime spent developing a type of artificial intelligence known as deep learning, he is suddenly warning about existential threats to humanity.
Graduating student Varun Lodayareflects on studying computer science at the University of Toronto and how he found his calling in machine learning and artificial intelligence in his first year.
Assistant Professor Robert Soden weighs in on using AI to help inform an equity-based response to the climate crisis, in an episode of U of T’s Sustainable Future – Challenge Accepted!
A new paper by MScAC alumna Aparna Balagopalan demonstrates why labelling data with normative prompts can yield better outcomes in machine learning models. Its co-authors include Assistant Professor, Status-Only Marzyeh Ghassemi and CS graduate student David Madras.
Assistant Professor Ashton Anderson recently conversed with Mounia Lalmas, senior director of research at Spotify about some of the behind-the-scenes techniques used by the world’s largest music streaming platform.
Led by Professor Alán Aspuru-Guzik, the consortium works to develop “self-driving labs” that combine artificial intelligence, robotics and advanced computing to discover new materials and molecules in a fraction of the usual time and cost.
Assistant Professor Rahul G. Krishnan is studying how deep learning tools, like biomedical large language models, can be used to improve clinical care.
