JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Edelen, J.P. AU - Abell, D.T. AU - Brown, K.A. AU - Bruhwiler, D.L. AU - Calder, S. AU - Coleman, S.J. AU - Cook, N.M. AU - Diaw, A. AU - Edelen, A.L. AU - Einstein-Curtis, J.A. AU - Hall, C.C. AU - Hoffmann, C.M. AU - Huang, E.-C. AU - Kilpatrick, M.C. AU - Nash, B. AU - O’Shea, B.D. AU - Piot, P. AU - Pogorelov, I.V. AU - Roussel, R.J. AU - Tennant, C. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Facilitating Machine Learning Collaborations Between Labs, Universities, and Industry J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - It is clear from numerous recent community reports, papers, and proposals that machine learning is of tremendous interest for particle accelerator applications. The quickly evolving landscape continues to grow in both the breadth and depth of applications including physics modeling, anomaly detection, controls, diagnostics, and analysis. Consequently, laboratories, universities, and companies across the globe have established dedicated machine learning (ML) and data-science efforts aiming to make use of these new state-of-the-art tools. The current funding environment in the U.S. is structured in a way that supports specific application spaces rather than larger collaboration on community software. Here, we discuss the existing collaboration bottlenecks and how a shift in the funding environment, and how we develop collaborative tools, can help fuel the next wave of ML advancements for particle accelerators. PB - JACoW Publishing CP - Geneva, Switzerland SP - 164 EP - 169 KW - controls KW - simulation KW - software KW - operation KW - framework DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-MOPA55 UR - https://jacow.org/napac2022/papers/mopa55.pdf ER -