JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@unpublished{edelen:napac2022-tuxe3,
author = {A.L. Edelen},
title = {{Artificial Intelligence and Machine Learning for Particle Accelerators}},
% booktitle = {Proc. NAPAC'22},
booktitle = {Proc. 5th Int. Particle Accel. Conf. (NAPAC'22)},
language = {english},
intype = {presented at the},
series = {International Particle Accelerator Conference},
number = {5},
venue = {Albuquerque, NM, USA},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {10},
year = {2022},
note = {presented at NAPAC'22 in Albuquerque, NM, USA, unpublished},
abstract = {{As existing accelerator facilities are upgraded and new facilities come online, data volumes and velocity are increasing even with shorter data collection times. High-performance computing (HPC) systems doing simulation, data analytics and artificial intelligence/machine learning (AI/ML) are playing a major role in pre-experiment planning, design of experiments, real-time beam line and experiment analysis and control, and post-run data processing. Simulation and AI incorporated into experimental data analysis workflows are making efficient use of expensive facilities and accelerating scientific discoveries. HPC is experiencing its own growth, with exascale computers and AI acceleration coming online at several supercomputer centers. AI/ML is in the midst of rapid growth of techniques and expansion into new application areas. This session will focus on current and emerging technologies in HPC, experimental workflows, and AI/ML techniques to help you incorporate them into your own research. Dr. D. Martin will provide "HPC Overview" followed by "Workflows" by Dr. C. Sweeney. "AI and ML" by Dr. A. Edelen will be followed by community discussions and questions from the audience.}},
}