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Research & Innovation

U of T computational imaging researchers harness AI to ‘fly’ with light in motion

U of T computational imaging researchers harness AI to ‘fly’ with light in motion

The AI algorithm helps researchers visualize ultrafast videos from any viewpoint, allowing for the study of how light propagates from multiple perspectives.  

Ubisoft partners with U of T CS professors to transform digital avatars in video games

University of Toronto computer science professors David Lindell and Kyros Kutulakos will be leading an AI research collaboration with Ubisoft to transform digital avatars. The project has the potential to offer improvements and benefits for video game players and developers. 

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In awarding Nobel Prize, committee cites collaborative black hole research including U of T computer scientist Aviad Levis

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In its scientific background for the 2024 Nobel Prize in Physics, the Nobel Committee notes the relevance of artificial intelligence in astrophysics and astronomy, including the first direct visual evidence of a supermassive black hole at the centre of our galaxy, research involving Assistant Professor Aviad Levis.  

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What do we want AI to optimize for?

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How can we improve the alignment of Al systems with human values? CS PhD candidate Silviu Pitis seeks to address this challenge with the support of an OpenAl Superalignment Fast Grant. 

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Inaugural Toronto Climate Summer School co-led by CS professor explores local climate change realities

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Computer Science professor Robert Soden co-led the first-ever session of the Toronto Climate Summer School. During the intensive six-week course, second- and third-year students examined the climate crisis from the perspective of a city like Toronto. 

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Celebrating 60 years of computer science at U of T

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U of T’s Department of Computer Science celebrates 60 years of groundbreaking contributions that span personal computing, theoretical computer science, software systems, graphic design, artificial intelligence and beyond.

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SRI Director David Lie and CS collaborators awarded $5.6 million for cutting-edge research on robust, secure, and safe AI

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SRI Director David Lie, who is cross-appointed to the Department of Computer Science, is leading a team of 18 researchers in a new end-to-end analysis of the AI pipeline—from data acquisition and security to model training, privacy protection, and beyond.

Toyota Research Institute partners with U of T researchers to advance vision-language models for robot manipulation

Toyota Research Institute partners with U of T researchers to advance vision-language models for robot manipulation

Assistant professors Florian Shkurti and Igor Gilitschenski are researching new methods of vision-language models for robot manipulation technologies to improve how robotics systems perceive and safely interact with people and their environment.  

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CentML startup led by Gennady Pekhimenko provides cost-effective machine learning solutions to companies

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CentML startup led by Gennady Pekhimenko provides cost-effective machine learning solutions to companies

A startup co-founded and led by Associate Professor Gennady Pekhimenko helps companies optimize the performance and cost-efficiency of machine learning models.

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U of T CS faculty members receive Ontario Early Researcher Awards

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U of T CS faculty members receive Ontario Early Researcher Awards

Computer science researchers are recipients of Ontario provincial funding for their artificial intelligence projects on reinforcement learning; computer systems; and deep learning tools for heart failure prediction. 

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Initiative trains U of T students to integrate ethical considerations into tech design

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Initiative trains U of T students to integrate ethical considerations into tech design

An award-winning team of University of Toronto computer scientists and philosophers is helping students think about the ethical implications of the technologies they will be developing.  

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Compassion behind the keyboard: How a CS researcher is using AI and community feedback to tackle harmful social media content

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Compassion behind the keyboard: How a CS researcher is using AI and community feedback to tackle harmful social media content

Ishtiaque Ahmed, an assistant professor of computer science, is a 2023-2024 recipient of a Connaught Community Partnership Research Program Award. His project will look at using AI to combat online hate aimed at Chinese and Muslim communities in Canada.  

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Acceleration Consortium seed grants support new research into self-driving labs technology

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Acceleration Consortium seed grants support new research into self-driving labs technology

Computer scientists Nandita Vijaykumar and Joseph Jay Williams are among 12 recipients of grants from the Acceleration Consortium. 

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Reflecting on ‘Social Issues in Computing,’ 50 years later

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Reflecting on ‘Social Issues in Computing,’ 50 years later

University Professor Allan Borodin reflects on the legacy of Social Issues in Computing, marking the 50th anniversary of the book he co-authored with the late Professor Emeritus C.C. “Kelly” Gotlieb.  

U of T researchers leverage AI to decipher lung health from speech

U of T researchers leverage AI to decipher lung health from speech

A team of U of T computer scientists led by PhD student Sejal Bhalla has designed software that uses deep learning algorithms to decipher changes in vocal characteristics that indicate the lung condition of patients with chronic obstructive pulmonary disease. 

U of T computer scientists develop video camera that acts as a ‘microscope for time’

U of T computer scientists develop video camera that acts as a ‘microscope for time’

Computational imaging researchers have developed a novel technique that allows video from highly dynamic scenes to be recorded once and then slowed down and sped up by a factor of billions. 

Why is COVID-19 more severe in some people? Researchers use genetics, data science to find out

Why is COVID-19 more severe in some people? Researchers use genetics, data science to find out

With the help of U of T's Data Sciences Institute, researchers from the university and partner hospitals gathered more than 11,000 full genome sequences from across Canada to help us understand why some people react more severely to COVID-19.