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Research & Guest Speaker Events

Research Seminar: Data-Efficient Deep Learning using Physics-Informed Neural Networks

A grand challenge with great opportunities is to develop a coherent framework that enables blending conservation laws, physical principles, and/or phenomenological behaviours expressed by differential equations with the vast data sets available in many fields of engineering, science, and technology. At the intersection of probabilistic machine learning, deep learning, and scientific computations, this work is pursuing the overall vision to establish promising new directions for harnessing the long-standing developments of classical methods in applied mathematics and mathematical physics to design learning machines with the ability to operate in complex domains without requiring large quantities of data.

Friday, March 24
10 a.m. EST

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Research Seminar: Multimodal Machine Learning and Human Centered Computing for Health and Wellbeing

What if we can design data driven + human centered personalized feedback loop systems for patients, clinical stakeholders, and healthy people for processing and modeling multimodal clinical and moment-to-moment data and managing and improving health?

Friday, April 21, 2023
10:00 a.m. EST
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All Topics (February 12 through March 15)