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
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
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
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
Professor Nicolas Papernot elected to the Royal Society of Canada’s College of New Scholars, Artists and Scientists
Papernot is cross-appointed to The Edward S. Rogers Sr. Department of Electrical & Computer Engineering and the Department of Computer Science
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
