Machine Learning, Dynamical Systems and Control

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(Virtual) February 14-15, 2023


Machine learning and AI are now being used broadly in the engineering and physical sciences, with a tremendous diversity of architectures and algorithms being developed across disciplines and applications.  The AI Institute in Dynamic Systems aims to annually host practitioners in the field, domain experts and ML/AI developers, to help build a common task framework for evaluating algorithms.  An overarching goal is to develop a taxonomy of enabling architectures and algorithms for the various tasks required in applications, including estimation, forecasting, sensing and control.  This is in keeping with the AI Institute’s mission to build and support sustainable challenge data sets for evaluating algorithms and methods for solving modern problems in science and engineering.

Join us for this exciting opportunity to bring together a broad range of researchers at the interface of data-driven modeling of systems in engineering and science.

The event will be primarily virtual, but graduate students and postdocs are especially encouraged to attend in person on the University of Washington campus as the workshop will be followed up by a one day hands-on programming workshop (Feb. 16th) dedicated to training machine learning algorithms and learning how to implement a diversity of architectures for engineering problems.




Schedule for Tuesday, February 14

10-12 PST— The Impact of the CTF in AI
Speakers: David L. Donoho, Professor of Statistics at Stanford; Sean Mooney, Chief Research Information Officer at UW Medicine; Jake Albrecht, Director, Challenges and Benchmarks at Sage Bionetworks


1-3 PST — Framing Scientific and Engineering Challenges for the CTF
Speakers: Hod Lipson, Professor of Mechanical Engineering at Columbia; Jorn Dunkel, Professor of Mathematics at MIT; Laure Zanna, Professor of Mathematics & Atmosphere/Ocean Science at the Courant Institute


Schedule for Wednesday, February 15

10-12 PST — CTF in Dynamic Systems
Panel with AI Institute in Dynamic Systems members


1-3 PST — The CTF for Education and DEI
Panel with AI Institute in Dynamic Systems members

4-6 PST — Workshop reception and poster session (for in-person attendees)


Schedule for Thursday, February 16 (For in-person graduate students and postdocs)

9-5 PST — Deep Learning Tutorials and Hackathon
Sessions with AI Institute in Dynamic Systems members
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