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New Lawson Climate Institute at U of T will accelerate climate solutions

A large group of students pose on steps with a Canadian flag held in the middle of the group

Shaking things up: U of T Seismic Design Team earns second-place finish at international competition

Professor Alfred and two students stand over a mannequin in a hospital bed

Centre for Healthcare Engineering partners with William Osler Health System to improve clinical practice

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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