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, […]
Community-Based Research Canada presents “Moving the Dial”: our 2023 E-Learning series. This series will highlight action-oriented community-based research that is ‘moving the dial’ on today’s pressing societal challenges. An important […]
The Inequity Speaker Series with Professor Filiz Garip, Department of Sociology and Public Affairs, Princeton University. Registration required Climate Change, Migration, and Inequality Existing work presents mixed findings on the […]
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, […]
