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Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations.
University of Toronto professors Gillian Hadfield, director of the Schwartz Reisman Institute for Technology & Society, and Anatole von Lilienfeld, of the department of chemistry in the Faculty of Arts & Science, have been named Canada CIFAR AI Chairs in recognition of their global leadership in art
With the goal of accelerating scientific research through the application of artificial intelligence, Schmidt Futures is investing $148-million in nine global universities, including the University of Toronto.
From keeping wind turbines ice-free to catalytically converting waste carbon dioxide into useful products, advanced materials will be critical for developing the sustainable technologies of the future. And a new system known as the ‘Sputtertron’ could help find them.
As it builds a global community to accelerate the discovery of materials for a healthier, more sustainable future, the Acceleration Consortium at the University of Toronto recently welcomed a visit from one of its new industry partners: Merck KGaA, D