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Collaborative Research Center SFB 876 - Providing Information by Resource-Constrained Data Analysis


The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms for known learning tasks. These resource bounded learning algorithms may also be applied on extremely large data bases on servers.



Katharina Morik as new member of the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts

Katharina Morik at the bestowal of the certificate

Katharina Morik, speaker of the collaborative research center SFB 876, has been appointed as a new member of the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts for the group Engineering and Economic Science. The academy puts its focus on fundamental research. It provides a platform for discussion via regular public events and bridges the gap between research, government and industry. The certficate of appointment will be granted at the yearly academy ceremony on 11th of March 2016.

By the appointment of Katharina Morik does the acadamy acknowledge her outstanding resarch profile, her achievements as speaker of the research center SFB 876 and her international reputation and research in machine learning.


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