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
Research to improve eye disease treatments wins 2023 NSERC Brockhouse Canada Prize
Professor Frank Gu (ChemE), a member of the winning team, is engineering nanomedicines to delay or prevent irreversible blindness caused by glaucoma
U of T ‘self-driving lab’ to focus on next-gen human tissue models
The Self-Driving Laboratory for Human Organ Mimicry is one of six self-driving labs launched by the Acceleration Consortium to drive research across a range of fields
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 researchers unveil sensor for real-time cellular analysis in living zebrafish embryos
Researchers led by Professor Jonathan Rocheleau (BME) share their findings in a new paper published in Science Advances
Two ECE professors win esteemed IEEE awards for pioneering contributions to their field
Professor Hoi-Kwong Lo honoured for his work in quantum information and quantum cryptography, and Professor J.J. Garcia-Luna-Aceves celebrated for his work in computer networks
U of T partnership will bring graduate students from South Korea to Toronto for six-month applied AI program
Initiative will be run through the Centre for Analytics and Artificial Intelligence Engineering (CARTE) and housed in the department of Mechanical and Industrial Engineering
