Research
Core Aspects

Embedded Machine Learning
Artificial Intelligence has the potential to process high-dimensional data very efficiently. We investigate how concepts of Deep Neural Networks or Convolusional Neural Netowrks can be applied to embedded systems.

Programming Adaptive Systems
To cope with the rising performance requirements of future embedded systems we are developing new energy efficient hardware- and software solutions. We specifically focus on devices that incorporate reconfigurable and adaptive hardware.

Previous Research
In our research archive you will find an overview of all previous research foci of the department.