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 resources bounded learning algorithms may also be applied on extremely large databases on servers.
Currently, active subprojects from LS12 as part of the SFB (external links):
- Data Mining for Ubiquitous System Software (Jan. 2019 - Dec. 2022)
- Methods for Efficient Resource Utilization in Machine Learning Algorithms (Jan. 2019 - Dec. 2022)