Geoffrey Hinton, University Professor Emeritus received an honorary degree from the University of Toronto in recognition of his excellence as a global pioneer in deep learning.
Professor Raquel Urtasun, one of the world’s leading experts in machine learning and computer vision, has launched Waabi, a startup that aims to leverage AI’s full potential for self-driving technology.
U of T computer science alumni Ivan Zhang, Aidan Gomez and Nick Frosst are the co-founders of an artificial intelligence startup that has big-name backers, including top researchers at Google, Apple, Uber and Nvidia.
The Department of Computer Science is among the U of T academic departments providing workshops as part of the Pursue STEM program for black students from high schools in the Greater Toronto Area.
Associate Professor Jessica Burgner-Kahrs, the director of the Continuum Robotics Lab at U of T Mississauga, and her team are building very slender, flexible and extensible robots, a few millimetres in diameter, for use in surgery and industry.
JALI Research, which grew out of research in the Department of Computer Science, has developed a suite of tools that power hyper-realistic facial animations for video game characters.
Deep learning pioneer and University Professor Emeritus Geoffrey Hinton kicked off this year’s Collision technology conference, held in partnership with U of T.
Professor Alán Aspuru-Guzik leads a new global coalition of academia, industry, and government that will use artificial intelligence and robotics to accelerate the design and discovery of materials that don’t yet exist.
A multi-talented educator, mentor, and innovator, Jacqueline Smith has made significant contributions to undergraduate education at the Department of Computer Science since 2015.
Professor Graeme Hirst, an expert in natural language processing, is part of a team of U of T researchers training software to read medieval texts to allow for easier comparison and analysis.
CS undergraduates emerged victorious in a global competition that challenged teams to apply machine learning solutions to the impacts of climate change.
