Cyber Cognitive Intelligence (CCI)

Vast amounts of data are generally required to utilize machine learning. However, large data sets are not always available, and data collection and annotation are invariably expensive and time-consuming. Research on data-efficient AI therefore looks at how this problem can be overcome and how effective machine learning models can be implemented even in cases where real data is sparse.

The Department Cyber Cognitive Intelligence (CCI) supports manufacturing companies and their suppliers across a wide range of innovation topics from the initial idea to the final implementation. The range of services includes feasibility studies, quick checks and workshops, as well as the development of complex technical manufacturing modules utilizing machine learning. Project formats range from short-term, compact developments to specific assignments and long-term strategic cooperation.

Together with Porsche AG, Fraunhofer IPA is developing an AI-based production planning and control system. The aim is to anticipate customer wishes at an early stage and incorporate them in the order planning process. This will make planning more robust, especially in times where supply chains are volatile.

In the ML4SAFETY project, an integrated framework for verifying “safeML” is being developed, which will allow innovative machine learning methods to be used in applications where safety plays a major role. This will help manufacturers and suppliers of autonomous, safety-critical systems as well as testing and approval institutions to bring demonstrably safe ML-based systems onto the market.