The "Scientific Machine Learning: Theory, Algorithms, Applications, and Agentic AI Workflows" workshop brings together researchers and practitioners from diverse backgrounds to exchange ideas and share recent advances in the theoretical, computational, and applied aspects of scientific machine learning. Recent developments in digital twin technology, agentic AI workflows, and their combination are also of strong interest.
To learn more about participation and registration, please visit the event website.
This workshop is supported thanks to the generosity of:
- National Science Foundation, Grant No. 2615564
- Notre Dame Research
- The College of Science
- The College of Engineering
- The Data, AI and Computing (DAC) Initiative
- The Department of Applied and Computational Mathematics and Statistics
- The Scientific AI Initiative
Originally published at data-ai-computing.nd.edu.