CERN scientists see AI shaping next-generation collider research
CERN scientists say AI is becoming increasingly central to particle physics, supporting real-time data analysis today while helping shape future collider experiments and detector design.
CERN researchers are expanding the use of AI across particle physics, deploying AI both during experiments and in the analysis of collision data.
According to CERN physicists, AI systems are already being used to help identify potentially significant particle collisions in real time, enabling researchers to process the enormous volumes of data generated by the Large Hadron Collider (LHC).
Scientists say AI’s role is expected to grow as CERN upgrades the LHC to the High-Luminosity LHC and develops plans for the Future Circular Collider (FCC), a proposed successor that is expected to begin operation in the 2040s. Beyond analysing experimental data, researchers are exploring how AI could support the design of detectors, optimise collider components and improve operational efficiency.
According to CERN physicist Maurizio Pierini, new AI techniques, including neural-network-based trigger systems and anomaly detection, could help identify unexpected events that existing theories do not predict. Researchers also expect AI to improve the precision of data analysis and assist with the design and operation of future particle physics experiments.
Why does it matter?
CERN’s work illustrates how AI is becoming part of the scientific research infrastructure rather than simply a tool for analysing results after experiments. The technology is increasingly being integrated into the design, operation and interpretation of large-scale scientific facilities, with potential implications for how future discoveries are made across research disciplines.
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