Projects

B5GCyberTestV2X – Beyond 5G Virtuelle Umgebung für Cybersicherheitstests von V2X-Systeme

The overall goal of the project is to enable safe and efficient autonomous driving by developing a virtual environment for cybersecurity testing of …

OrthoSuPer – Sichere Datenplattform und intelligente Sensorik für die Versorgung der Zukunft in der Orthopädie

Muskel-Skelett-Erkrankungen, vor allem Rücken- und Knieleiden, sind in Deutschland einer der häufigsten diagnostizierten Krankheiten. Zum Teil auch …

SECAI – Sustainable heating through Edge-Cloud-based AI systems

Das Projekt SECAI setzt durch den Einsatz von Künstlicher Intelligenz im Edge-Cloud-Umfeld intelligente, ökologisch nachhaltige und schnell …

6G-Terafactory – Open-RAN basiertes Campusnetz für industrielle Echtzeitanwendungen

The 6G-Terafactory project explores innovative 6G campus network technologies in practical field deployment. Building on an open RAN approach and …

6G-NeXt – 6G Native Extensions for XR (extended reality) Technologies

Future services and applications, especially in the area of multimedia, will generate an unprecedented amount of data for industry, media and private …

6G-Health – Holistische Entwicklung leistungsfähiger 6G-Vernetzung für verteilte medizintechnische Systeme

Research and development in the field of 6G, one of the key technologies for applications and infrastructure in the healthcare sector in the coming …

AI-Observer – Artificial Intelligence for Earth Observation Twinning

Artificial Intelligence (AI) has a major impact on many sectors and its influence is predicted to expand rapidly in the coming years. One area with …

EASY – Energy-efficient analytics and control processes in the dynamic edge-cloud continuum for industrial manufacturing

The EASY project aims at the energy-efficient analysis and execution of manufacturing and control processes in the context of dynamic industrial …

SustainML_EI – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

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 …