We describe the current and future plans for using artificial intelligence and machine learning (AI/ML) methods at the National Synchrotron Light Source II (NSLS-II), a scientific user facility at the Brookhaven National Laboratory. We discuss the opportunity for using the AI/ML tools and techniques developed in the data and computational science areas to greatly improve the scientific output of large scale experimental user facilities. We describe our current and future plans in areas including from detecting and recovering from faults, optimizing the source and instrument configurations, streamlining the pipeline from measurement to insight, through data acquisition, processing, analysis. The overall strategy and direction of the NSLS-II facility in relation to AI/ML is presented.

我们描述了在布鲁克海文国家实验室的科学用户设施国家同步加速器光源 II (NSLS-II) 使用人工智能和机器学习 (AI/ML) 方法的当前和未来计划。我们讨论了使用在数据和计算科学领域开发的 AI/ML 工具和技术来大大提高大规模实验用户设施的科学输出的机会。我们描述了我们当前和未来的计划，包括从检测和从故障中恢复、优化源和仪器配置、简化从测量到洞察的管道，通过数据采集、处理和分析。介绍了与 AI/ML 相关的 NSLS-II 设施的总体战略和方向。