Network

Fraunhofer strategic research: Cognitive systems, AI and data sovereignty

In its strategic research section , Fraunhofer combines the competences of its institutes to develop comprehensive system solutions for strategically important topics. An example is the future research into cognitive systems, artificial intelligence and data sovereignty which Fraunhofer CCIT is part of. Machines are taking over more and more areas of application and are helping people make better decisions. At the same time artificial intelligence systems are taking over more and more tasks in factories, offices and everyday life. In addition, with digitization, the economy's need for data protection, secure data exchange and data sovereignty is growing.

Lighthouse Project: Machine Learning for Production – ML4P

In the lighthouse project ML4P, six Fraunhofer Institutes are researching the development of a tool-supported procedural model as well as the implementation of corresponding interoperable software tools in order to systematically tap into the optimization potential in production plants through use of machine learning methods.

With its lighthouse projects, Fraunhofer is setting strategic priorities for developing specific solutions for the benefit of businesses based in Germany. The topics are adapted to the requirements of the economy. The aim is to rapidly convert economically original ideas into marketable products.

Research Fab Microelectronics

The Research Fab Microelectronics (FMD) is a global innovation driver which, as the largest multi-site R&D consortium for microelectronics in Europe, offers a unique range of competences and infrastructure. The FMD is the bridge between basic research and customer-specific product development. The FMD is a partnership among the Fraunhofer Group for Microelectronics, the Ferdinand Braun Institute FBH (Leibniz Institute for Ultra High-Frequency Technology) and IHP GmbH (Leibniz Institute for Innovative Microelectronics).

Fraunhofer Clusters

The Fraunhofer Clusters of Excellence promote the cooperative development and processing of system-relevant topics though a research structure that spans the institutes. Organizationally, these research clusters can be thought of as a "virtual institute" spread over several locations. The aim of the research clusters is not only to temporarily implement a single project, but also to follow a roadmap for the long-term development of a complex technology trend.