We advance the science of machine learning.
The Machine Learning Group studies how computers learn from data, the theory behind learning algorithms, the methods that make them work safely at scale, and what happens when learning systems meet the real world. Our research spans deep learning, probabilistic and causal inference, optimization, vision, language, reinforcement learning, privacy and security, and applications across the basic sciences.
Our work laid the foundations of modern AI systems, and we continue to push the frontier. Deep belief networks, rectified linear units, dropout, t-SNE, AlexNet, the Adam optimizer: all of them came out of research done here. Today, our members and alumni are building world-leading labs and corporations around the world. There remain fundamental questions that we seek to answer: how can machines learn, how can we make them safe, and how can we build efficient general-purpose intelligence?
Faculty, staff, and students
Our People
We are computer scientists, with close ties to the Vector Institute and to collaborators in medicine, engineering, and the physical sciences. We believe in a simple ethos: solve hard problems together for the benefit of humankind.
Where we are
Department of Computer Science
The group is based in the Bahen Centre for Information Technology in the heart of the St. George campus at the University of Toronto and in close proximity to the Vector Institute. We’re a short streetcar or subway ride from everything that Toronto has to offer.