We work on machine-learning algorithms to process, understand, and retrieve information from images, videos, and similar sensor data. For example, the project BAMBI uses camera drones and artificial intelligence to monitor animals in the wild. The project aims to analyze the long-term development of wildlife populations to identify impending ecological problems, such as biodiversity loss or overpopulation, on time.

TextileUX proposes the creation of a multi-functional textile-based sensing platform to enable computational environments to be embedded seamlessly into our lives. It aims to broaden the knowledge base at the intersection of material, textile and computer science.

Innovation Playground shows that conscious design of an interior environment and an accompanying tool set with respect to established creative methodologies can lead to more efficient meetings and workshops that can boost company innovation.