MDSI – Shaping the Future with Data

MDSI Core Member Prof. Fabian Theis gives insights into his research and also shares personal thoughts. The 3sat Nano team talked with him about biomedical data analysis based on AI methods. (in German only) [read more]

UniGuide takes a step toward a unified approach to molecular generation. By bridging the gap between task-specific models, it not only accelerates drug discovery but also sets a foundation for future innovations in molecular design, both in terms of novel tasks that can now be tackled and novel… [read more]

Elementary school students experience lessons with robots and AI tools at the TUM Center for Educational Technologies, led by MDSI Core Member Prof. Enkelejda Kasneci. [read more]

Designing new cars is expensive and time consuming. As a result, manufacturers tend to make only minor changes from one model generation to the next. With DriverAerNet++, researchers at the Technical University of Munich (TUM) around MDSI COre Member Prof. Angela Dai and the Massachusetts Institute… [read more]

Artificial intelligence (AI) based on machine learning offers opportunities for the life sciences. However, problems often arise in practice. One cause is data leakage, the illicit spillover of information from the training to the test data. Researchers from the Technical University of Munich (TUM),… [read more]