Computer scientists, led by PhD students Marta Skreta and Naruki Yoshikawa, have developed a framework called CLAIRify that converts natural language inputs into a domain-specific language that chemistry robots can understand and follow.
Recent PhD graduates Alberto Camacho and Rodrigo Toro Icarte were recognized for their doctoral theses at the 2023 International Conference on Automated Planning and Scheduling.
New research, co-authored by Associate Professor Yang Xu,demonstrates that word meaning extension, observed in both children and the historical evolution of language, relies on a common cognitive foundation of knowledge and how things relate to each other.
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.
Alumnus Christian Muise and professors Sheila McIlraith and J. Christopher Beck received an Influential Paper Award for their 2012 paper, “Improved Non-deterministic Planning by Exploiting State Relevance.”
Chevalier, an assistant professor of computer science and statistics, was made a knight in France’s national order recognizing exemplary services to education and culture.
U of T computer scientists have identified key variables that influence users’ experiences with text messaging systems aimed at supporting psychological well-being.
The Canadian Artificial Intelligence Association has presented Professor Richard Zemel with a 2023 CAIAC Lifetime Achievement Award in recognition of his outstanding research excellence in artificial intelligence during his academic career.
