Projects

DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins. A Digital Twin is the virtual representation of a product, …

Infinity – Artificial Intelligence and advanced big Data Analytics for Law Enforcement Agencies

The ambition of the project INFINITY is to become a flagship project against society’s most pressing cybercriminal, terrorist and hybrid threats. …

SPAICER – Scalable adaptive production systems through AI-based resilience optimization

The innovation competition "Artificial Intelligence as a Driver for Economically Relevant Ecosystems" (AI Innovation Competition) of the Federal …

Managed_Forgetting_Phase_2 – Sustaining Grass-roots Organizational Memories: Methods and Effects of Applying Managed Forgetting in Administrative Corporate Scenarios

Partners Universität Hannover (Gottfried Wilhelm Leibniz Universität Hannover) Pädagogische Hochschule Ludwigsburg (Fakultät III: Sonderpädagogik …

KICK – Künstliche Intelligenz in Kommunikationsnetzen

Das Ziel von KICK ist es, den Betrieb von künftigen 5G-Campus-Netzen durch den Einsatz von KI-Methoden signifikant zu vereinfachen und zu verbessern. …

KOSMOX – Entwicklung einer neuartigen lokalen kontrafaktischen Erklärungsmethode und -schnittstelle unter Berücksichtigung kognitiver Modelierungsansätze

Im Bereich der Künstlichen Intelligenz (KI) sind Black-Box-Modelle gegenüber konventionellen Verfahren zwar überlegen, liefern allerdings keine …

hILDe – Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors

Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted …

KI-EKG – Development of a evaluation methodology for energy efficiency measurement of AI hardware using the example of ECG analysis

Significant improvements in the energy efficiency of AI hardware are a prerequisite for the growing spread of this computationally intensive …

SimLearn – Completing Training Data by Iteratively Learning Simulation

Machine learning methods based on existing training data have proven to be very effective in identifying patterns and implicit dependencies even in …

EDeL – Efficient Data Processing for Deep Learning

The astonishing speed of developments in deep learning, especially in the field of computer vision, is largely based on the availability of …