The Toronto region is home to the highest concentration of AI startups in the world.
We bring together University of Toronto undergraduate students across all backgrounds.
We are a group of passionate undergraduates interested in artificial intelligence. Our members come from diverse academic backgrounds, including Computer Science, Engineering, Math, Business, Cognitive Science, Biology, Neuroscience, and more.
Through a variety of initiatives, including educational programs, competitions, guest lectures, and conferences, we help UofT students get involved in the growing field of Artificial Intelligence. Our club’s activities introduce our members to an assortment of topics within the field, familiarise them with cutting-edge research, and connect them with a range of career opportunities available in today’s workforce.
Expanding Access to AI
Emphasizing AI for Social Good
Empowering Undergraduate Researchers
Interested in joining us? Click here!
What We Do
An Undergraduate Research Competition
Machine Learning is powerful. We’ve designed this initiative to focus this power on tackling important issues. ProjectX is a five month long machine learning research competition hosted by the University of Toronto involving undergraduate students from all around North America. This year’s theme is Health. With over 20 universities participating and multiple big-name industry partners, this is our biggest project yet! It's ProjectX.
Check out last year's winning submissions from Cornell University, the University of Toronto, and the University of Michigan here!
Want to get involved?
A Simulated Reality Conference
The UofT AI conference will be a two day event, gathering together the brightest minds in artificial intelligence. The goal for this initiative is to inspire the next generation of leaders in this field and to kick start the conversation about using machine learning as a force for good. Conference dates for 2022 are to be announced soon!
Want to come?
An Introductory ML Educational Program
There are hundreds of undergraduate students at the University of Toronto who are eager to learn how they can use machine learning to find meaningful solutions to hard problems. The program which we have developed and named LearnAI aims to satisfy this demand.
LearnAI takes a different educational approach from the standard undergraduate curriculum. Through a carefully balanced combination of theory and practice, we equip our students with the knowledge and problem-solving skills necessary in the modern workforce.