For Faculty
Are you a faculty member at the University of Waterloo? Enhance your research and connect with a network of AI experts by becoming a member of the Waterloo Data & Artificial Intelligence Institute. Click the link below to access the membership form and discover the opportunities waiting for you at Waterloo.AI.
Waterloo.AI uses a “pull” strategy wherein our Corporate and Industry partners put forth their challenges and opportunities. We then utilize a Call for Proposal (CFP) process across our multidisciplinary researchers where our researchers can apply their foundational AI results and experience to solve real-world industry challenges.
For more information, please contact Jacob Witmer jacob.witmer@uwaterloo.ca
News
Reinventing home appraisals with AI nets $5 million raise
A University of Waterloo student who dreamed of becoming an astronaut just raised $5 million to revolutionize home appraisals with AI. Discover how an unexpected co-op twist and a chance family conversation launched him into the startup world.
AI-powered system could help save lives by predicting how modern house fires behave
University of Waterloo researchers are using AI and machine learning to predict how fires behave in modern homes, where energy-efficient construction and new furniture materials create deadly conditions unknown to traditional fire safety codes. The system could transform how emergency responders tackle evacuations, building codes are designed, and toxic smoke hazards are managed.
Waterloo researchers launch climate intelligence company
University of Waterloo researchers have launched ULYSSES Climate Intelligence, an AI-enabled platform that helps companies protect their supply chains by providing early warning alerts and comprehensive risk data for extreme climate events. The venture combines decades of climate science expertise with practical business tools to help organizations move from reactive crisis management to strategic climate adaptation and resilience.
Events
Beyond Parameter Interference: Fine-Tuning, Routing, and Recovery in Model Merging
Join Sungyong Baik to discuss "Beyond Parameter Interference: Fine-Tuning, Routing, and Recovery in Model Merging". This seminar will lead a thought-provoking conversation and will be taking place at DC 1304 on Friday, September 4th — time to be confirmed.