Machine learning (ML) is becoming an increasingly important component of
cutting-edge physics research, but its computational requirements present significant challenges. In this poster, we discuss the needs of the physics
community regarding ML across latency and throughput regimes, the tools and
resources that offer the possibility of addressing these needs, and how these can
be best utilized and accessed in the coming years.
|In-person or Virtual?||In-person|