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.
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In January, Tim Ruhe, PI in project C3 was elected spokesperson of the working group on Physics, modern IT and Artificial Intelligence (AKPIK) within the German Physical Society (DPG). The AKPIK is an interdisciplinary forum of scientists, which addresses current questions in the intersection of data-intense analyses in physics and machine learning.
Chances and risks in the application of state-of-the-art machine learning algorithms is discussed in a close collaboration with Computer Scientists and representatives from industry 4.0. Furthermore, suggestions for the competences and profiles of Data Scientists are worked out. Together with Katharina Morik, Tim Ruhe is the second member of the CRC joining the board of the AKPIK. As the successor of Prof. Dr. Martin Erdmann (RWTH Aachen), Tim Ruhe will initially hold the position as spokesperson for one year.
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