Projects

Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil spi

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

Interdisciplinary tumour conferences with doctors from different disciplines are the key to the best possible diagnosis and therapy of cancer. The information about the patient and the tumour that is

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

The goal of the CONNECT_ED joint project is to improve emergency medical, organizational and administrative processes in the preclinical and clinical phases of emergency care by implementing an intell

Partners Beteiligte wissenschaftliche Einrichtungen: − Carl von Ossietzky Universität Oldenburg (UOL) − Leibniz Universität Hannover (LUH) − Technische Universität Braunschweig (TUBS) − Technische Uni

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

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

The goal of the ECXL project is to develop a design and verification platform for RISC-V based systems. The verification platform will allow models on the abstract electronic system level as well as o