Projects

CurATime – Cluster für Atherothrombose und individualisierte Medizin

Cardiovascular diseases, in particular myocardial infarction and stroke, are the leading cause of death worldwide. Atherothrombosis underlies almost …

Aviator2_SLT – Augmented Visual Intelligence and Targeted Online Research 2

Augmented visual intelligence and Targeted online research (AviaTor) Phase 2 builds upon the first AviaTor project. AviaTor provides law enforcement …

KIMBi – Auf dem Weg zur KI-gestützten intelligenten Magnetresonanz-Bildgebung

Es soll ein System entwickelt werden, das die Magnetresonanztomographie (MRT) für KI- Anwendungen zugänglich macht. Die MRT ist die flexibelste und …

DECODE – Continual learning for visual and multi-modal encoding of human surrounding and behavior

Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionized Computer Vision in almost all areas. These …

M-RoCK – Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior

The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. …

SeMoSys – Virtual integration of hull segments and installation of systems

Das Verbundprojekt SeMoSys - Sektionsmontage und Systeme hat die Zielsetzung, die Fertigung von Strukturen und die Installation von Systemen in der …

STAR – Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable …

Agri-Gaia – ein agrarwirtschaftliches KI-Ökosystem

The Agri-Gaia project is creating an AI ecosystem for the agricultural and food industry based on Gaia-X. For this purpose, an innovative B2B platform …

RACKET – Rare Class Learning and Unknown Events Detection for Flexible Production

The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is …

KItatta – KI-Verfahren erkennen Qualität von Spenderhornhäuten

In Deutschland werden jährlich mehr als 9.000 Hornhauttransplantationen durchgeführt. Trotz strenger Qualitätskriterien sind bei etwa 4-5 % der …