Abstract In this talk, we will introduce a general analytical framework for large scale data obtained from two-sided markets, especially ride-sharing platforms like DiDi. This framework integrates classical methods including Experiment Design, Causal Inference and Reinforcement Learning, with modern machine learning methods, such as Graph Convolutional Models, Deep Learning, Transfer Learning and Generative Adversarial Network. […]

Deep learning is a term that WEIRDLY connects the praxis of experiential learning and practices of machine learning while AI, artificial intelligence, and A/I artistic intelligence, are also conceptual aspects of interest for our discussion. Location: Robert Gill Theatre Lobby, Koffler Student Services Centre - 3rd floor

Speaker(s): Dr. Trevor Jamieson, Medical Director of IT Implementation and Innovation at St. Michael`s Hospital and Lead, Virtual Care, at WIHV, Dept of Medicine, University of Toronto Dr. Chris O'Connor, President, Think Research Dr. Heather Ross, Loretta A. Rogers Chair in Heart Function, Peter Munk Cardiac Centre, UHN Joby McKenzie, Managing Director (Canada), Babylon  

The Centre for Analytics and Artificial Intelligence Engineering (CARTE) hosts Dr. Shiva Amiri, Director of Research Infrastructure at 23andMe, who will discuss building genomic analytics and machine learning platforms for personalized health and drug discovery. Abstract: This seminar will cover building genomic analytics and machine learning platforms for personalized health and drug discovery using the […]

Abstract: With the rise of large language models such as ChatGPT, there is growing concern that students may use AI to partly or entirely write their assignments. Join us for an informative talk on how these models work, the potential cheating implications, and strategies to discourage their use. We will discuss methods to try to […]