JACoW logo

Journals of Accelerator Conferences Website (JACoW)

JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.

RIS citation export for MOPA55: Facilitating Machine Learning Collaborations Between Labs, Universities, and Industry

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  -