News
Developed by U of T Engineering researchers, the tool uses early-stage data to predict the potential real-world use for a new ...
A new study by Professor Isabelle Rao (MIE) provides support for the 'housing first' strategy for treating homelessness and ...
Company aims to transform the way cell culture media is developed, using artificial intelligence to make cell-based therapies ...
The Polanyi Prizes are awarded annually in honour of John C. Polanyi, who won the 1986 Nobel Prize in Chemistry ...
Collaboration between U of T Engineering’s CARTE, South Korea’s IITP and industry partners develops solutions to complex challenges, from health care to consumer electronics and more ...
Students Driven to Compete for Most Fuel-efficient Vehicle in the Americas - U of T Engineering News
Late in the evenings, after most students have trickled out of the Bahen Centre, U of T’s Supermileage team is just getting started. “I got the tires!” announced Michael Stranges (MechE 1T2 + PEY) as ...
Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have created a way to use Google Maps Street View images to assess existing structures. With the aid of machine ...
Professor Milica Radisic (ChemE, BME) has been elected a fellow of the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society. This honour ...
A U of T Engineering team has collaborated with researchers in the Wilfred and Joyce Posluns Centre for Image Guided Innovation and Therapeutic Intervention at The Hospital for Sick Children (SickKids ...
Researchers at U of T Engineering, led by Professor Yu Zou (MSE), are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, published in ...
New funding from NSERC and UK Research and Innovation (UKRI) will advance several U of T Engineering projects related to quantum communication networks, quantum computing and more. Professor Li Qian ...
Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...
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