
Acceleration Consortium announces $1.2 million in funding for projects that accelerate scientific discovery
Twelve research projects, from across U of T, will leverage or drive the development of self-driving labs

U of T Engineering volunteers honoured at the 2023 Arbor Awards
Recipients from 2020 to 2023 were invited to celebrate in person for the first time since 2019, when COVID-19 restrictions were put in place

U of T Engineering’s OCCAM partners with Royal Ontario Museum to preserve ancient Greek coins
Characterization studies carried out by MSE researchers support historical conservation, green energy research, advanced manufacturing and more

U of T Engineering student pitches green hydrogen startup at international competition in Berlin
Ambrish Kumar (MSE MEng candidate), who developed his startup at The Entrepreneurship Hatchery, won Falling Walls Lab Toronto

U of T Engineering study finds bigger datasets might not always be better for AI models
New research on materials science datasets shows the amount of training data can be significantly reduced with minimal impact on the performance of the model

This machine learning method aims to speed up the design of next-generation biomedical implants and aerospace materials
A team led by Professor Yu Zou (MSE) is using a deep learning and genetic algorithm framework to achieve application-specific mechanical properties by microstructure optimization