论文标题
物理社区的需求，工具和机器学习资源
Physics Community Needs, Tools, and Resources for Machine Learning
论文作者
论文摘要
机器学习（ML）正在成为尖端物理学研究的越来越重要的组成部分，但其计算要求构成了重大挑战。在这份白皮书中，我们讨论了物理社区的需求，内容涉及跨潜伏期和吞吐量制度，提供解决这些需求的工具和资源，以及如何在未来几年中最好地利用和访问这些需求。
Machine learning (ML) is becoming an increasingly important component of cutting-edge physics research, but its computational requirements present significant challenges. In this white paper, 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.
