Projects

AI-Observer – Artificial Intelligence for Earth Observation Twinning

Artificial Intelligence (AI) has a major impact on many sectors and its influence is predicted to expand rapidly in the coming years. One area with …

MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by …

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support …

PM4Audit – KI-Lab eurodata – DFKI

Durchführung einer KI-gestützten Buchungssatzanalyse, mit dem Ziel, Buchungen zu unterstützen, zu bewerten bis hin diese zu automatisieren. Dazu …

MaLeBeCo – Machine Learning Application Benchmarking on COTS Inference Processors

The main objectives of the activity cover the following aspects: Generation of a reusable and open reference dataset: For this activity several …

myRPA – Experience-based Robotic Process Automation for Knowledge-based Personal Assistants

Robotic Process Automation (RPA) enables further automation of processes across existing systems. As RPA can act like humans and thus is able to read, …

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 …

SPELL – Semantische Plattform zur intelligenten Entscheidungs- und Einsatzunterstützung in Leitstellen und Lagezentren

Artificial intelligence in the interconnected control center of the future The SPELL project represents the idea of a semantic platform for …

3S Project – Steroid Sample Swapping

Anti-doping analysis is a crucial measure to fight against cheating and doping activities in sports. The Athlete Biological Passport is widely …

resKIL – Resource-efficient AI for Embedded Systems in Agricultural Machines

The application of AI methods appears to be useful in agriculture because the environment is highly dynamic, not fully known and not fully …