This workshop will explore the transformative potential of artificial intelligence (AI) and machine learning (ML) in addressing the immense computational challenges posed by future colliders like CERN’s planned new flagship, the Future Circular Collider (FCC). We will examine how AI can revolutionize both experimental design and data analysis, accelerating scientific discovery and unlocking new physics.

The scale and complexity of future collider experiments demand innovative computational approaches. Traditional methods are becoming increasingly insufficient to handle the sheer volume of data and the intricacy of simulations. AI and ML offer powerful tools to optimize experiment design, accelerate simulations, and enhance data analysis, enabling more efficient use of resources and leading to faster scientific breakthroughs.