GSI/FAIR AI Workshop

The evolution of neural networks from their early conceptual
roots in the 1940s to their modern-day applications are presented.
Starting with McCulloch and Pitts' model of neurons, we explore key
milestones like Rosenblatt’s perceptron, the multiple rediscovery of backpropagation,
the Hopfield networks and boltzmann machines,
and the advent of deep neural networks. The discussion...

EuCAIF is an European initiative for advancing the use of Artificial Intelligence (AI) in Fundamental Physics. Members are working on particle physics, astroparticle physics, nuclear physics, gravitational wave physics, cosmology, theoretical physics as well as simulation and computational infrastructure. The objective of the coalition is to federate on various AI-related aspects (knowledge,...

Ion beam therapy is the most advanced form of radiotherapy, requiring fast, precise, and accurate treatment planning. Speed is a critical factor for cancer patients, as timely interventions can significantly impact outcomes. While Monte Carlo simulations offer high-quality dose calculations, they are too slow for routine clinical workflows. In contrast, analytical pencil beam algorithms...

Particle therapy provides a significantly more precise dose distribution within the patient compared to conventional photon radiotherapy, reducing radiation in healthy tissue but increasing the need for dose verification. A mixed beam of helium and carbon ions, recently first produced at GSI, can enable online range monitoring and simultaneous imaging. In the case of lung cancer, the measured...

The precision of carbon ion therapy offers great potential for more targeted lung cancer therapy. To use the steep dose gradients to target moving tumors requires motion mitigation strategies that rely on real-time motion information acquired, e.g., with optical tracking systems. To utilize the information most effectively requires to predict motion variations. We developed an LSTM model to be...