Fraunhofer CCIT Research Centers
At three research centers, each with a different focus, the Fraunhofer Cluster of Excellence Cognitive Internet Technologies CCIT develops the key technologies necessary for a cognitive internet. The competences combined in the Fraunhofer CCIT lead to a strategic overall vision designed to enable companies to preserve their digital sovereignty and strengthen their ingenuity and competitiveness at the same time. Synergetic use of the expertise of the total of more than 20 Fraunhofer Institutes forms an alternative to the companies’ own or external innovation hubs which work on stand-alone solutions for limited deployment scenarios. A manufacturer-independent research program, closely aligned to the requirements of industry and safeguarding the interests of society, is an essential prerequisite for maintaining and future-proofing the business location.
IoT-COMMs Research Center
The IoT-COMMs (FIOT) Research Center advances research into the basic technologies of networking, localization and information security and combines them in terms of Internet-of-Things (IoT) communication. The focus here is on the key sectors for the Internet of Things (IoT): agile and mobile production systems in the industry 4.0 environment as well as mobility applications and autonomous driving. In particular, attention is centered on robustness, interference resistance and short delay times as well as information security and the kind of unambiguous location information that many application scenarios require.
Data Spaces Research Center
The Data Spaces Research Center (FDS) focuses on data infrastructure and thus constitutes the link between the physical communication (FIOT) and the application level (FML). Here, the work concentrates on data sovereignty and data economy as the basis for the data-driven value chain made possible by the Fraunhofer CCIT. Through the "International Data Spaces" (IDS) initiative, a reference architecture model exists and serves as a blueprint for other initiatives, such as the Medical and the Mobility Data Space.
Machine Learning Research Center
The aim of the Machine Learning Research Center (FML) is to establish "Informed Machine Learning" on a broad footing. This is taken to mean solutions that not only learn from data but also leverage the expertise and models often found in industry in order to improve performance. In this way, flexible and self-improving, intelligent systems are created which even with small amounts of data come up with precise forecasts, recommendations and measures. At the same time, the traceability and reliability of the results are assured, thereby bringing about the preconditions for trustworthy cognitive internet technologies.