Quantum machine learning, in particular quantum deep reinforcement learning (QDRL), has gained tremendous attention in the scientific community in recent years, as promising results for simple tasks i
The 6G-Terafactory project explores innovative 6G campus network technologies in practical field deployment. Building on an open RAN approach and using state-of-the-art software practices, a blueprint
Future services and applications, especially in the area of multimedia, will generate an unprecedented amount of data for industry, media and private users, which must be transmitted at a speed and re
Research and development in the field of 6G, one of the key technologies for applications and infrastructure in the healthcare sector in the coming decade, is the focus of the 6G Health project. Netwo
DataBri-X aims to develop a user-friendly toolbox that enables the creation and integration of data spaces for data-driven applications. This toolbox enhances data and metadata interoperability, usabi
This project is based on the insight that in order to significantly reduce the CO2 footprint of ML applications power-aware applications must be as easy to develop as standard ML systems are today. Us
The chances of success of a transplant have steadily improved thanks to medical progress; this also applies to the kidney, the most frequently transplanted organ in Germany. Nevertheless, especially i
The QuDa-KI project pursues two scientific goals. The qubit-based representation of (robot-related) data streams, in particular sensors and actuators, is being developed in order to be able to use the