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
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
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
Being able to guarantee unrestricted access to fresh drinking water is generally taken for granted. However, the appearance of clean water is deceptive - climate change and urbanization in particular
Um KI-Technologien für die medizinische Forschung zu entwickeln, werden immense Datenmengen aus aktuellen und bereits abgeschlossenen Krankheitsfällen zum Lernen benötigt. Zwar werden solche Daten in
The project aims at reducing the sample and model complexity of robot learning algorithms. For that, known physical equations are merged with machine learning models in order to adapt faster to unknow
PerSim - Perception Nodes for Simulation-Based Environment Representation Dieses Projekt schlägt die Integration von Informationen in einen übergeordneten vollständigen und interaktiven Prozess zur Da
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