AI in CERN could applied in Digital Twins for different industries

CERN (the European Organization for Nuclear Research) is one of the world’s largest and most respected centers for scientific research, particularly in the field of particle physics. Established in 1954, CERN’s primary mission is to explore the fundamental properties of matter and the universe by conducting experiments that allow scientists to study the smallest particles known to exist. Its research helps us understand the forces and particles that make up the universe at its most basic level.

A Digital Twin is a digital replica or simulation of a physical system, process, or environment, which allows for real-time monitoring, analysis, and optimization. At CERN, the concept of a Digital Twin is being explored and applied to the organization’s complex systems, particularly in the Large Hadron Collider (LHC) and other experimental facilities. By creating digital counterparts of CERN’s massive and intricate systems, researchers can better understand their behavior, optimize performance, and predict future scenarios—all without interfering with real-world experiments.

Professor Nicola Serra gave a presentation at MIT on Oct 16 2024 about the use of AI in the SHiP experiment at CERN. This is a fascinating and important topic because it highlights the growing intersection between artificial intelligence (AI) and particle physics—fields that are both advancing rapidly and opening new possibilities for discovery.

AI-enabled Digital Twins have immense potential beyond traditional applications like physics-based simulations. Here’s an overview of how they are being discussed and utilized in areas like drug discovery, logistics, and beyond.