ePIC Software & Computing Weekly Meeting: Fast ML for Science

US/Eastern
Dmitrii Kalinkin (University of Kentucky), Markus Diefenthaler (Jefferson Lab), Torre Wenaus (BNL), Wouter Deconinck (University of Manitoba)
Description

Nhan Tran from Fermilab presented on Fast Machine Learning for Science, a broader initiative aimed at real-time and accelerated machine learning applications in fundamental sciences. The EIC community contributed to the initiative's white paper in 2022, and their next conference will take place on September 1–5.  

We will use Zoom for the remote meeting: 

    • 11:00 12:00
      ePIC and AI
      • 11:00
        FastML for Science 30m
        Speaker: Nhan Tran (Fermilab)
      • 11:30
        Q&A 15m