Projects

Health care is undergoing a transformation from a paternalistic to a patient-centred approach. Medical decision-making is therefore a collaborative process between patients, their relatives and doctor

The aim of the project is to automate mentoring processes through knowledge services using hybrid AI methods. For this purpose, the didactic knowledge of mentoring processes in rule based systems and

MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by integrating robustness and explainability. The aim of the pr

Ensuring industrial quality through new research The ML-SYNTHOM project is developing an AI-based test procedure for quality assurance for new types of components in industrial production. The innovat

In emergency rooms, speed is of the essence. According to the regulations on emergency care, emergency staff must assess within ten minutes how urgently patients need to be treated. Especially in phas

According to the World Bank and the UN, some US$1tn is paid in bribes every year. Corrupt financial transactions divert funds from legitimate public services, as well as distort free markets—potential

Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such defects immediately when they occur, th

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under

Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while matching extremely dynamic manufacturing contexts

The Covid 19 pandemic has shown that model-based forecasts based on historical data often overestimate infection numbers, which weakens public acceptance of these forecasts as a basis for policy decis