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"If nobody outside a company can see what these systems are doing, it’s very hard to tell whether they’re safe," says Professor Nicolas Papernot (ECE). (photo by Nick Iwanyshyn)

U of T researcher calls for independent testing of powerful AI models

Left to right: Weixiang Ben (Year 3 MSE), Jiaze Wu (MSE PhD student) and Professor Kai Huang (MSE) are three members of the team who designed a new type of nanoparticle that can upconvert light from low-energy photons into high-energy ones. (photo by Tyler Irving)

New light-emitting nanoparticles can detect subtle chemical differences to enhance pharmaceutical manufacturing, pollution prevention and more

University Professor Elizabeth Edwards (ChemE) has conducted groundbreaking research on the remediation of contaminated groundwater, wastewater treatment and anaerobic digestion. (photo courtesy of Daria Perevezentsev)

University Professor Elizabeth Edwards awarded the Royal Society of Canada’s Miroslaw Romanowski Medal

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Dr. Tarek Awad, a researcher in U of T’s Department of Materials Science & Engineering, shows two samples: at left, a stainless steel surface treated to trap simple cooking oil, and at right, an uncoated surface. The uncoated surface can accumulate food residue and encourage the growth of food-borne pathogens. (Credit: Liz Do)

Cooking oil coating prevents bacteria from growing on food processing equipment

Mona Gridseth (left, UTIAS PhD candidate) and Keenan Burnett (EngSci 1T6+PEY, UTIAS MASc candidate) work on Zeus, a self-driving vehicle that recently took the top prize at the first competition of the three-year AutoDrive Challenge™. U of T Engineering’s new Engineering Science major in Machine Intelligence launches this September. It joins an MEng emphasis in Analytics that began January 2018. (Credit: Laura Pedersen)

U of T Engineering launches Canada’s first engineering undergraduate program in Machine Intelligence

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