Advances in artificial intelligence (AI) are transforming fundamental physics research across the JENA (Joint ECFA, NuPECC, APPEC) communities. This white paper presents 12 strategic recommendations to scale AI capabilities, addressing challenges such as resource limitations, integration, and training gaps. These investments will also strengthen expertise in this important technology in Europe, ensuring long-term benefits beyond fundamental physics.

Caron, S., Ipp, A., Aarts, G., Bíró, G., Bonacorsi, D., Cuoco, E., et al. (2026). Strategic white paper on AI infrastructure for particle, nuclear, and astroparticle physics: Insights from JENA and EuCAIF. MACHINE LEARNING: SCIENCE AND TECHNOLOGY, 7(1), 1-14 [10.1088/2632-2153/ae35cd].

Strategic white paper on AI infrastructure for particle, nuclear, and astroparticle physics: Insights from JENA and EuCAIF

Bonacorsi, Daniele;Cuoco, Elena;
2026

Abstract

Advances in artificial intelligence (AI) are transforming fundamental physics research across the JENA (Joint ECFA, NuPECC, APPEC) communities. This white paper presents 12 strategic recommendations to scale AI capabilities, addressing challenges such as resource limitations, integration, and training gaps. These investments will also strengthen expertise in this important technology in Europe, ensuring long-term benefits beyond fundamental physics.
2026
Caron, S., Ipp, A., Aarts, G., Bíró, G., Bonacorsi, D., Cuoco, E., et al. (2026). Strategic white paper on AI infrastructure for particle, nuclear, and astroparticle physics: Insights from JENA and EuCAIF. MACHINE LEARNING: SCIENCE AND TECHNOLOGY, 7(1), 1-14 [10.1088/2632-2153/ae35cd].
Caron, Sascha; Ipp, Andreas; Aarts, Gert; Bíró, Gábor; Bonacorsi, Daniele; Cuoco, Elena; Doglioni, Caterina; Dorigo, Tommaso; García Pardiñas, Julián;...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1036974
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