CRIS Connects provides targeted, real-time help from experts. Come and ask experts anything on their topic of expertise and concurrently build your tri-campus networks. DiscoverResearch (https://discover.research.utoronto.ca/) is a tool to […]
The Data Sciences Speaker Series with Prof. Phebe Vayanos, WiSE Gabilan Assistant Professor, Assistant Professor of Industrial & Systems Engineering and Computer Science, Associate Director, CAIS Center for Artificial Intelligence […]
In this workshop, you will learn advanced MPI techniques such as MPI Datatypes, application topology and MPI-IO in the context of a scientific MPI example.
This reports progress with the project to institutionalise colleges’ social role: community colleges and similar types of institutions’ support of social, education, and cultural development in their local communities and […]
This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, […]
The Data Sciences Institute (DSI) Catalyst Grant program is a competitive seed funding program for multidisciplinary teams forming a Collaborative Research Team (https://datasciences.utoronto.ca/community/collaborative-research-teams/) (CRT). Funding from this program supports CRTs […]
Unity Health Toronto and the University of Toronto invite you to attend the third distinguished lecture of Health, Equity, and Research Talks (HEaRT). This webinar will be focused on “Reporting […]
Toronto’s Municipal Code 591 defines “noise” as “a sound that a person finds disturbing to their peace, rest, enjoyment, comfort or convenience,” and “unreasonable noise” as “any noise that would […]
In this workshop, you will learn advanced MPI techniques such as MPI Datatypes, application topology and MPI-IO in the context of a scientific MPI example.
This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, […]
