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A grey and green shirt in water.

The inequalities of laundry: U of T research reveals overlooked source of microplastic pollution

washing hands in water tap

Drowning in data: Interdisciplinary case study on Coimbatore’s water supply underlines challenges with open data and smart cities

Researchers with MOF-ChemUnity

New tool harnesses AI to navigate expanding world of metal–organic frameworks

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Veneris and team_credit Jessica MacInnis_700

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