While AI is one of many tools used at CASUS, it was center stage at the Schloss Dagstuhl seminar. Titled “AI-Augmented Facilities: Bridging Experiment and Simulation with machine learning (ML)”, the seminar brought together experimental and computational scientists, experts on edge and HPC computing, and machine learning researchers. The participants’ experiences came from a variety of application areas ranging from physics to life sciences to manufacturing. But they all had a common goal in mind: integrating predictive computation and simulations on one side and world-class experimentation on the other side with the help of AI. “A common language, or at least a coordinated process could speed up the exchange of insights from from one side to the other. In the end, both sides – simulations and experiments – will benefit heavily from this integration”, says Bussmann.

In the course of the week, the participants drafted a perspectives paper that they aim to publish in a peer-reviewed journal later this year. Besides Bussmann, also the designated director of CASUS, Prof. Thomas D. Kühne, was among the seminar participants. “I enjoyed the highly productive atmosphere of the event. This topic will gain importance in the years to come and it will certainly continue to be on the research agenda of CASUS”, Kühne reckons.