Frontiers in Scientific Machine Learning (FSML)

The Frontiers in Scientific Machine Learning (FSML) Seminar Series at the University of Michigan is organized by Sahil Bhola and Aniket Jivani. This is a platform dedicated to exploring the intersection of machine learning with scientific research and engineering.  This series will feature talks from leading experts and student researchers in the field, covering cutting-edge topics and fostering discussions on the latest advancements and challenges in scientific ML.

Lecture Format: The seminars are held in hybrid format, with the audience joining in-person and online via Zoom. Presenters give talks ranging from 30 to 45 minutes in duration, followed by discussions and Q & A. 

Time: Fridays (every two weeks), 12pm – 1pm Eastern Time

Next talk: October 18, 2024, 12-1pm ET – Dr. Christopher Wentland (Sandia National Laboratories) – Domain Decomposition and Coupling Data-driven Models of Fluid Flows

Venue: 2636 GGBA and Zoom

Recordings of previous talks can be found on our YouTube Channel – https://www.youtube.com/@SciMLSeminarsatUMich

 

Details of upcoming talks can be found at the U-M Events Page.

Upcoming Lectures

Events

Previous Lectures

To see past seminars that were held as part of CMU’s ACED-Differentiate program, visit www.cmu.edu/aced/sciML.html

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