Sessions:
1. AI/ML for ePIC and Beyond (Nov 28, morning)
2. Calibration, Monitoring, and Experimental Control in Streaming Environments (Nov 28, afternoon)
3. AI/ML for Accelerators (Nov 29, morning)
4. AI/ML for Data Analysis and Theory (Nov 29, afternoon)
5. Foundation Models and Trends in Data Science (Nov 30, morning)
6. AI/ML in Production, Distributed ML (Nov 30, afternoon)
Tutorials:
- Tutorial 1 Nov 29, 9-10am
- Tutorial 2 Nov 30, 9-10am
- Tutorial 3 Dec 1, 9-10am
Hackathon:
- Hackathon day, Dec 1, 10am-5pm
