The project group “Cognitive Material Diagnostics” (KogMat^D) of Fraunhofer IKTS at the Cottbus site is already practicing regional networking to strengthen the advantages of the location. In three projects funded by the BMBF and initiated by the project group, the IKTS scientists, in close cooperation with regional companies and local universities, are dealing with future topics such as digitalization and predictive maintenance. “In all projects currently being worked on at the Cottbus site, we can profitably apply our competencies in the fields of artificial intelligence (AI), machine learning (ML), pattern recognition and data analysis,“ explains Dr. Constanze Tschöpe, who established the project group in Cottbus 2.5 years ago and has headed it since its founding.

The Fraunhofer IKTS project group “Cognitive Material Diagnostics” has been developing novel self-learning and intelligent systems for material diagnostics based on artificial intelligence and machine learning since 2019. To enable a swift transfer of research results into application, the project group combines the know-how of Fraunhofer IKTS on non-destructive testing and the expertise of the Brandenburg University of Technology on artificial intelligence. The state of Brandenburg is supporting the project with 2.6 million euros, for a period of five years. The Fraunhofer-Gesellschaft is contributing 1 million euros to the project.