Network Initiatives

Develops modular digital twins for autonomous accelerator and robotics control, combining hybrid AI and LLM interfaces to enable interpretable, adaptive, and energy-efficient operations.

Aims to deliver a secure, trustworthy, and reusable platform for AI-generated digital twins (DTs) across European Research Infrastructures.

Aims to reduce the environmental and climate footprint of European Research Infrastructures (RIs) through AI-powered eco-design, operation optimisation, real-time materials characterisation, and soil reconstitution, validated at TRL 6–7 in flagship accelerators and observatories.

Advanced initiative connecting AI applications across accelerator physics domains through innovative network approaches and collaborative frameworks.

Machine Learning for Accelerator Systems Technology - National initiative developing ML-based solutions for accelerator control and optimization systems.

IN2P3 funded master project to support French network initiatives around AI applications for particle accelerators.