Projects

Im Bereich der Künstlichen Intelligenz (KI) sind Black-Box-Modelle gegenüber konventionellen Verfahren zwar überlegen, liefern allerdings keine Erklärung über das Zustandekommen ihrer Entscheidungen u

Despite astonishing progress in the field of Machine Learning (ML), the robustness of high-performance models, especially the ones based on Deep Learning technologies, has been lower than initially pr

This project aims to develop the next generation of the digital twin, which is self-learning and proactive. This means firstly, it learns from existing, real data to run like processes. Secondly, it c

Das Konzept der Smart Data Innovation Challenges (SDI-C) erweitert das Smart Data Innovation Lab (SDIL) um eine wichtige Komponente. Geforderte schnellere, innovative Forschung kann damit niederschwel

The goal of the PLASS project is the development of a prototypical B2B platform for AI-based decision support for supply chain management. The focus is on the automatic recognition of decision-relevan

The analysis of relationships between agents is key to understanding and explaining social phenomena. A lack of knowledge about the availability of suitable data, but also of relevant analysis technol

Industrielle Datenanalyse eröffnet produzierenden Unternehmen innovative Möglichkeiten zur nachhaltigen Optimierung von Produkten und Prozessen und ermöglicht die Initiierung neuer Geschäftsmodelle un

The goal of this project is the development of efficient methods for analyzing and for learning to analyse the user behavior during interactions with an expert system. The considered scenario includes

Betriebswirtschaftliche Auswertungen (BWA) stellen Informationen aus der Finanzbuchhaltung in aggregierter Form zur Verfügung. Durch die Aggregation der Daten ist der Einsatz von Machine-Learning-Algo

With 24 official EU and many more additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs). European LT business i