Forschungsbereiche

Running Projects

DAIS – Distributed Artificial Intelligent System, is a pan-European project including 48 partners from 11 countries. DAIS's approach is to develop trustworthy AI systems for industrial applications. DAIS will provide lightweight, secure, and highly connectivity intelligent solutions that bring the IoT and AI together.

The production of the Integrated Circuits (ICs) requires several parties, such as a third party for intellectual property (IP) cores and a third party for Electronic Design Automation (EDA) tools. Therefore, several attack scenarios exploit the vulnerabilities of IC-supply chain stages. Jupiter focuses on devising and developing hardware-based security solutions and countermeasures to face such attacks and threats.

Metrology for THz Communication (METERACOM) is a research project funded by the German Research Foundation (DFG), which deals with the development and verification of measurement systems and methods in the field of THz communication. The consortium consists of the Universities of Braunschweig, Illmenau, Paderborn, Marburg, Lübeck and Stuttgart as well as the PTB Berlin/Braunschweig and its London counterpart NPL. The project is divided in four main project areas, which in turn are divided into several sub-projects.

Arrowhead Tools

The Arrowhead Tools project is the European investment for leadership in digitization and automation. The goal of this project is the fast and smooth to digitalization and automation solutions for the European industry.

 

 

In NEUPA, short for "new explainability supported by world models for predictions in autonomous driving", we develop methods to increase explainability in AI systems.

As a use case, we build a driver assistance system that predicts the behavior of pedestrians, cyclists and e-scooter riders in traffic.

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KI-PRO aims to developing a high performance computing platform for sensor data processing in autonomous vehicles. To achieve this target, classical digital components together with novel neuromorphic electronic components are developed, which allow an efficient application of AI methods.

Former Projects