Description
Artificial intelligence (AI) is transforming scientific research, with deep learning methods playing a central role in data analysis, simulations, and signal detection across particle, nuclear, and astroparticle physics. Within the JENA communities—ECFA, NuPECC, and APPEC—and as part of the EuCAIF initiative, AI integration is advancing steadily. However, broader adoption remains constrained by challenges such as limited computational resources, a lack of expertise, and difficulties in transitioning from research and development (R\&D) to production.
This contribution to the European Strategy in Particle Physics presents recommendations detailed in a strategic roadmap. This roadmap was submitted as a contribution to the JENA White Paper on Federated Computing and is available (in its complete form) on arXiv at \url{https://arxiv.org/abs/2503.14192}. The JENA document on federated computing will be submitted as input to the European Strategy for Particle Physics. As the recommendations in the JENA document summarize those presented here, we are presenting them in this document in their original form.
The recommendations are the result of a community survey aimed at addressing identified barriers. It outlines critical infrastructure requirements, prioritizes training initiatives, and proposes funding strategies to scale AI capabilities across fundamental physics over the next five years.
