The analysis of complex and large data sets requires the development of specific and adapted methods to exploit their value and ensure their security. The department currently focuses on three main topics: Machine Learning, Causal Inference and Distributed Intelligence & Open Innovation.
The Machine Learning group is concerned with the development of novel machine learning methods with a particular focus on deep learning. These methods are detached from concrete applications, but are oriented towards the needs of the DLR. ...[more]
Distributed Intelligence & Open Innovation
Technological solutions can help to overcome current and future economic and societal challenges. The basic prerequisite for the effectiveness of these solutions, for example in the form of increasing resilience, are corresponding transformation processes. ...[more]
The Causal Inference group develops theoretical foundations, algorithms, and accessible software tools for causal inference and machine learning and closely works with domain experts within DLR as well as national and international partners. ...[more]