Training the Next Generation of AI-Driven Accelerator Scientists
We are delighted to announce a new article in Europhysics News: “Artificial Intelligence for Advancing Particle Accelerators”, which explores how AI is transforming the design and operation of accelerators across the globe.
As these powerful machines become increasingly vital for applications ranging from fundamental physics to advanced medical therapies, the demands on beam performance, precision, and reliability grow exponentially.
This article underscores how leveraging machine learning algorithms for tasks such as data-driven optimization and predictive maintenance can drastically improve accelerator performance while minimizing downtime.
“AI has rapidly emerged as a game-changer in accelerator research,” says LIV.INNO Director Professor Carsten P Welsch. “It empowers our students and researchers to tackle real-world challenges, expand the frontiers of beam physics, and make a meaningful impact in global scientific and industrial endeavours.”
The LIV.INNO CDT trains the next generation of scientists and engineers, positioning them at the forefront of research in fields like data science, AI, and beam physics. Through interdisciplinary training and hands-on experience, doctoral candidates gain the unique skill set required to shape the future of science and innovation, including in the area of particle accelerators. They help make complex facilities more efficient, reliable, and capable of supporting new breakthroughs.
Discover more by reading the full article:
Artificial Intelligence for Advancing Particle Accelerators