Projects

curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose Partners Universitätsmedizin der Johannes Gutenber

Das erste Ziel von curAIscid ist für den Anwendungsfall Atherothrombose und Atherosklerose dem Problem der kleinen Daten (small data) auf verschiedene Weise zu begegnen: durch Transferlernen (bei dem

In close collaboration with the Rwanda Space Agency, we develop machine learning tools to understand and monitor extreme weather events. We specifically focus on the use of remote sensing data for lar

Partners Zeiss group

As laid down in the European Strategy for data in 2020, data is the fuel of the 21st century. This is the reason why the European Commission supports the development of Common European Data Spaces in

A new framework for experimentation-driven analytics Extreme data characteristics represent a challenge for advanced data-driven analytics and decision-making in critical domains such as crisis manage

Subproject: Visualisation In the project, technically, economically and architecturally advantageous basic solutions for the solarization of the building envelope are developed and made available digi

SciLake tackles the fragmentation, diversity, and disorganisation of scientific knowledge, which hinders discovery and the extraction of valuable insights needed for informed decision-making in resear

Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the

SHARESPACE will demonstrate a radically new technology for promoting ethical and social interaction in eXtended Reality (XR) Shared Hybrid Spaces (SHS), anchored in human sensorimotor communication. O