On November 8, 2023, the AIR-Initiative and the Regensburg Center for Artificial Intelligence RCAI jointly hosted a project ideation workshop at OTH Regensburg focused on the funding guideline “Flexible, resiliente und effiziente Machine-Learning-Modelle” des Bundesministeriums für Bildung und Forschung (BMBF).
The goal is to launch a project and strengthen Regensburg as a hub for AI. Nicole Höß, coordinator of the RCAI, began by providing an overview of the funding framework. The objective of the funding guideline is the interdisciplinary advancement of machine learning models in the following key areas:
- Learning algorithms with greater robustness and generalizability to new application domains
- New methods of informed AI for integrating domain knowledge into models and datasets
- Further development of established simulation models through machine learning (particularly in the natural sciences)
- New datasets and architectures for robust and efficient foundation models
Prof. Dr.-Ing. Marcus Wagner and Philipp Stocker provided fascinating insights into current and future AI research in the field of the finite element method.
Afterward, it was the participants’ turn to introduce themselves and their project ideas. Together, they developed project approaches and laid the groundwork for forming a consortium tasked with turning these ideas into a project outline. In addition, potential avenues for collaboration were identified that extend beyond the scope of the funding guidelines.