The project investigates the use of passive sensors and advanced AI methods to improve autonomous navigation and object detection at night, enabling reliable operation of automated vehicles even under challenging visibility conditions.
GenSeC develops evaluation methods for generative AI models in security-critical applications to ensure their reliability even under complex, time-critical and potentially manipulated conditions.
TrustML develops methods and technologies for secure, reliable and trustworthy AI and machine learning systems, enabling their controlled use even in critical application areas.
In the news-polygraph project, we are developing digital methods for the media industry, with the help of which multimedia content can be checked for manipulation, de-contextualized or misleading content.
The S&R project will design, implement and test a highly interoperable, modular open architecture platform for first responders, capitalising on expertise and technological infrastructure from both COncORDE and IMPRESS FP7 projects.
In the CIAM project, autonomous underwater vehicles (AUVs) are being developed that are capable of autonomous inspection missions with a travel distance of 500km.
