Machine Learning and Artificial Intelligence for Embedded Systems

Artificial Intelligence has the potential to process high-dimensional data efficiently. We are investigating how the concepts of Deep Neural Networks and Convolutional Neural Networks can be applied to low-power embedded systems.

We also try to incorporate other machine learning techniques into embedded systems and research how these can be used in resource constrained environments.

A more detailed description will follow soon.


Should you have any questions or are interessted in this topic please contact

Prof. Gregor Schiele,


Lukas Einhaus, M.Sc.,

Chao Qian, M.Sc.,

Christopher Ringhofer, B.Sc.,