Artificial Intelligence

On this page:


Acceleration Consortium (AC)

The Acceleration Consortium (AC) is a flagship University of Toronto initiative that leverages artificial intelligence, robotics, and automation to dramatically accelerate the discovery and deployment of advanced materials and molecules. Through the development of AI-guided self-driving laboratories, the AC integrates machine learning, robotics, chemistry and engineering to rapidly identify materials critical for applications such as life-saving medicines, biodegradable plastics and renewable energy technologies. By uniting academic, industry and government partners, the AC translates foundational AI research into scalable technologies with cross-sector impact.


Centre for Analytics and Artificial Intelligence Engineering (CARTE)

The Centre for Analytics and Artificial Intelligence Engineering (CARTE), an applied AI hub within the Faculty of Applied Science and Engineering, is focused on translating cutting-edge research into real-world impact. CARTE connects partners with over 100 faculty across engineering disciplines to tackle complex challenges through collaborative research, industry partnerships, and customized training. With an emphasis on implementation over theory, CARTE supports organizations in deploying AI solutions, developing workforce capabilities, and leveraging funding programs to accelerate innovation across sectors.


Data Sciences Institute (DSI)

The Data Sciences Institute (DSI) serves as a university-wide hub for data science research, training, and partnerships. DSI researchers develop cutting-edge methodologies to collect, clean, link, govern and interpret complex datasets across domains including health, public policy, energy, environment and Indigenous governance. The Institute strengthens Canada’s AI ecosystem by advancing data infrastructure, improving methods to assess uncertainty and bias and delivering public-facing reskilling programs that enhance national data and AI literacy.


Schwartz Reisman Institute for Technology and Society (SRI)

The Schwartz Reisman Institute for Technology and Society (SRI) conducts interdisciplinary research on the societal impacts of advanced technologies, including safe and aligned AI development, fairness in machine learning, trusted data sharing, and AI for social good. SRI contributes to the development of governance approaches for powerful emerging technologies by integrating technical research with social analysis and legal and regulatory frameworks. Its work supports democratic, agile and effective governance that aligns technology development with human agency, accountability and public values.


Vector Institute

The Vector Institute for Artificial Intelligence is an independent, non-profit AI research organization based in Toronto focused on advancing machine learning, deep learning, foundational AI research and trustworthy AI to push the technical frontiers of artificial intelligence and its real-world applications in health, climate and other domains. Its global research community of top scientists works on cutting-edge AI models and methods while also influencing AI governance, ethical frameworks and the broader Canadian AI ecosystem. U of T is a founding partner of the Vector Institute and collaborates with Vector to strengthen AI research and training in Canada.

Connect with Vector Institute

vectorinstitute.ai


SciNet

SciNet High Performance Computing Consortium is the supercomputing centre at the University of Toronto, providing Canadian researchers with massive computational resources (e.g., the Trillium supercomputer and other advanced clusters), high-performance storage and expertise to run large-scale simulations, data analysis, and research computing across fields from climate science to biomedical engineering to astrophysics.

Connect with SciNet

scinethpc.ca


Creative Destruction Lab Artificial Intelligence Stream (CDL AI)


The CDL AI Stream is an objectives-based accelerator that helps early-stage ventures built around core AI and machine learning innovations, including areas like machine learning models, natural language processing, computer vision and generative AI. It brings together companies developing foundational AI technologies and applications to engage with leading researchers and experts on advancing the frontiers of AI research and real-world AI systems while helping refine and scale those innovations. In addition, the CDL Defence Stream augments this initiative by helping ventures align to real buyer needs, navigate government pathways, and build evidence toward testing and procurement with allied partners.

What are you searching for today?
magnifiercrosschevron-down