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.
Peter Marwedel gives the opening talk "Cyber-Physical Systems: Opportunities, Challenges, and (Some) Solutions" at the 21. workshop on Synthesis And System Integration of Mixed Information technologies (SASIMI) in Matsue, Japan. He presents opportunities and challenges of the design of cyber-physical systems. He will additionally attend the panel "What is the next place to go, in the era of IoT and AI?".
