Assistant Professor Aviad Levis and collaborators are developing innovative tools for the imaging black holes with the next generation of radio and optical telescopes.
The 海角视频 of Computer Science hosted the annual Applied Research in Action (ARIA) showcase highlighting cutting-edge research and its intersection with Toronto鈥檚 tech ecosystem.
The AI algorithm helps researchers visualize ultrafast videos from any viewpoint, allowing for the study of how light propagates from multiple perspectives.
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.
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.
The Dynamic Graphics Project lab hosted high school students for a weeklong immersion into graduate school life in one of the world鈥檚 top computer graphics and human-computer interaction labs.
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.
Devin Singh co-founded Hero AI, a clinical automation software platform aimed at reducing patient wait times and improving the deployment of scarce health-care resources through AI-powered insights.
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. 鈥淜elly鈥 Gotlieb.
Hosted by the 海角视频 of Computer Science鈥檚 Master of Science in Applied Computing (MScAC) program, the tenth annual ARIA showcase highlighted technological innovations between academia and industry.
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.
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.
Teaching stream professors Mario Badr and Diane Horton have launched a new podcast about studying computer science at the University of Toronto and the opportunities available to students as they navigate their degree and career.
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.
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.
U of T computer scientists have identified key variables that influence users鈥 experiences with text messaging systems aimed at supporting psychological well-being.
A team of U of T computer scientists explores how an interactive camera robot can assist in creating dynamic tutorial videos based on subtle verbal and non-verbal instructor cues.
