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U of T Engineering researchers and startup boutIQ solutions partner to advance heart repair therapies

Maikawa in a blue labcoat stands with arms crossed and smiles at the camera. two other researchers are working in the background in the lab.

Professor Caitlin Maikawa wins 2024 John Charles Polanyi Prize for Chemistry

Graduate students present their research project

International partnership brings students from South Korea to participate in Toronto’s AI ecosystem

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U of T Engineering blockchain project receives funding injection from Connaught Fund

Professor Moshovos and his team. Front row, left to right: Zissis Poulos, Dylan Malone Stuart, Professor Andreas Moshovos; back row, left to right: Sayeh Sharifymoghaddam, Kevin Siu, Mostafa Mahmoud, Patrick Judd, Alberto Delmas Lascorz, Milos Nikolic. (Credit: Tyler Irving)

Building the computing engines that will power the machine learning revolution

Smart cities professor Mark Fox.

It takes a village to build a smart city: Mark Fox on culture of collaboration at School of Cities

On the left of each quadrant is a real X-ray image of a patient’s chest and beside it, the syntheisized X-ray formulated by the DCGAN. Under the X-ray images are corresponding heatmaps, which is how the machine learning system sees the images (Image courtesy of: Hojjat Salehinejad/MIMLab).

Training artificial intelligence with artificial X-rays