In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical doma
The automotive industry in Germany is undergoing major changes. Car manufacturers have to combine more and more software and hardware to enable autonomous driving and electromobility. The high computi
Application of the Ontosight bioscience knowledge graph to support prediction, validation and better interpretation of Al-generated hypotheses based on data from patients and healthy controls in the c
MIRACLE comprises a consortium of academics and industry partners to understand how machine learning can be utilised to predict the risk of relapse for patients with resected non-small cell lung cance
Severely ill children, who are prohibited from having direct contact with relatives, should be enabled to meet their parents or close caregivers in virtual, lifelike worlds. While healthy children and
Klimawandel und stetiger Zuwachs der Weltbevölkerung stellen die Anforderungen des nachhaltigen Landmanagements und die Schonung natürlicher Ressourcen vor große Herausforderungen. Während zahlreiche
The project GreenTwin (Green digital twin with artificial intelligence for CO2-saving cooperative mobility & logistics in rural areas) is dedicated to the development of sustainable regional logistics
Atherosklerose-Targets in Thrombo-Inflammation Partners Universitätsmedizin der Johannes Gutenberg-Universität Mainz TRON - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-U
Cardiovascular diseases are among the most frequent causes of death worldwide. The pathological basis of almost all cardiovascular diseases is atherothrombosis, i.e. atherosclerotic plaque rupture in
The aim of the project "Agile solutions for automated production machines using communication security" (ALPAKA) is to lay important technical foundations for secure communication in distributed (Indu