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
U of T Engineering professor incorporating AI to help decarbonize chemical industries
Joint EMHSeed and XSeed Funding Program to support research on expanding database of metal-organic frameworks for AI analysis
Meet five U of T Engineering graduate students awarded 2023 Vanier Scholarships
Funding supports research in income pools, enhancing nanomaterials, matching performance, drug delivery and space debris
New human-centred automation tools could ease stress on overburdened health-care systems
Professor Enid Montague’s project is one of seven from U of T Engineering to receive funding from the Canada Foundation for Innovation’s John R. Evans Leaders Fund
In Memoriam: Gerald Heffernan (1919-2023)
Gerald and Geraldine Heffernan contributed more than $11 million to support University of Toronto students, programs, researchers and buildings
How U of T Engineering research could improve the design of small-scale modular reactors for the nuclear industry
Three professors recently received grants to study various aspects of this emerging technology
