5th Annual Rotman Conference on Machine Learning and the Market for Intelligence

Desautels Hall 105 St George Street, Toronto, Canada

At our fifth annual conference, just as in prior years, we'll explore state-of-the-art applications of machine intelligence in a variety of domains, such as business, science, and healthcare. The twist? This year, we'll reflect on these technological advances in the context of their impact on power. While many applications of machine intelligence enhance productivity by […]

Machine Learning in Medicine Symposium

Peter Gilgan Centre for Research and Learning 686 Bay St, Toronto, Ontario, Canada

Learning Objectives Identify the potential role of machine learning in medicine Recognize the difference between machine learning, neural networks, and deep learning Critically evaluate proposed new machine learning tools as it applies to imaging, pathology, pediatrics, brain science and mental health Target Audience Internal Medicine Specialists Laboratory Medicine and Pathology Specialists Medical Imaging Specialists Psychiatry […]

Future Digileaders Workshop (Stockholm)

Future Digileaders is an event for selected early career female researchers interested in the broad area of digitalization technology. The event is a part of the Digitalization days -- a three-day workshop discussing the next wave of digitalization for our sustainable future held on November 25-27, 2019 in Stockholm, Sweden. Day 1 offers the Digileaders […]

OR Seminar: Placement Optimization in Refugee Resettlement

Mechanical Engineering 5 King's College Rd, Toronto, Ontario, Canada

Andrew C. Trapp (Worcester Polytechnic Institute) Abstract: Tens of thousands of refugees are resettled yearly from refugee camps to host countries. Local areas that host refugees are reluctant to open capacity, and most impose tight restrictions on the refugee family types they accept. We model this matching challenge as a 0-1 knapsack variant and explore […]

DiDi Lecture: AI for the Marketplace with Applications to Ride-Sharing

Bahen Centre 40 St George St, Toronto, Ontario, Canada

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. […]

Seminar: Smart “Predict, then Optimize”

Bahen Centre 40 St George St, Toronto, Ontario, Canada

Adam Elmachtoub, Columbia University Many real-world analytics problems involve two significant challenges: prediction and optimization. Due to the typically complex nature of each challenge, the standard paradigm is predict-then-optimize. By and large, machine learning tools are intended to minimize prediction error and do not account for how the predictions will be used in the downstream […]

Colloquium: Bodies. Deep Learning

Koffler Student Services Centre 214 College Street, Toronto, Ontario, Canada

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