AI-beyond

Research Group for Spatial AI

Modern IT infrastructure and AI-accelators, in particular, yield strong increases in energy and water consumption. Developing efficient computational models is the key to forge a sustainable environmental footprint of AI-Systems.

Prof. Dr. Matthias Schubert, Head of AI-Beyond

Reinforcement Learning

Reinforcement Learning trains autonomous agents to optimize their behaviour. Our work in Reinforcement Learning is focused on optimizing mobility and resource allocation tasks.

Projects on Reinforcement Learning

Computer Vision and Remote Sensing

One of the driving areas of Deep Learning is computer vision. In our group, we are particularly interested in applications from the remote sensing areas which yield challenges with the availability of ground truth, noise, resolution, and larger cardinalities of input channels.

Computer Vision and Remote Sensing Projects