Projects

Cyber-AG-RSML – Cyberagentur: Robustes und Sicheres Machine Learning

Forschung und Entwicklung von Ansätzen hinsichtlich robustem und sicherem Machine Learning für sicherheits- und verteidigungsrelevante Einsatzsysteme

Eventful – timely models for individual & societal health

This project focusses on the interconnected problems of measuring and predicting health and well-being. Health and well-being exist at two levels: …

CurAEducate – Nachwuchsförderung & Weiterbildung

Um aus exzellenten Forschungsergebnissen in curATime innovative Behandlungs- und Präventionskonzepte zu entwickeln und in die klinische Anwendung zu …

curATarget – Atherosklerose-Targets in Thrombo-Inflammation

Atherosklerose-Targets in Thrombo-Inflammation Partners Universitätsmedizin der Johannes Gutenberg-Universität Mainz TRON - Translationale Onkologie …

CurAIvasc – AI-based analysis of vascular imaging

Cardiovascular diseases are among the most frequent causes of death worldwide. The pathological basis of almost all cardiovascular diseases is …

KI-AIM – AI-based anonymization in medicine

The use of artificial intelligence (AI) offers the opportunity to fundamentally support and revolutionize knowledge-intensive activities. In business …

Carve-DL – KI in der digitalen Forensik

Transferlab für KI für innere Sicherheit: DeepLearning für Carvingverfahren Teilvorhaben: Deep Learning Verfahren für das Carving und die …

SustainML_SDS – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

EASY – Energy-efficient analytics and control processes in the dynamic edge-cloud continuum for industrial manufacturing

The EASY project aims at the energy-efficient analysis and execution of manufacturing and control processes in the context of dynamic industrial …

SustainML_EI – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

This project is based on the insight that in order to significantly reduce the CO2 footprint of ML applications power-aware applications must be as …