The PINPOINT project rose from the need to combine process intelligence and domain knowledge, with logic-based formalisms allowing for effective interpretability and explainability. This project report summarises the main contributions made by the …

Deploying large language models (LLMs) on resource-constrained edge device presents significant challenges due to their high computational and memory demands. This paper introduces DLUSEdge, an efficient algorithmic framework designed to …

Should AI research target systems with human-like intelligence or should it serve to improve practical applications for the user? These topics are examined in conjunction with the consideration of various methods beyond the Turing test for …

The Dempster–Shafer theory has garnered significant attention for effectively managing uncertainty across various disciplines. However, the core combination rule within this theory, known as Dempster’s rule, has faced criticism due to its …

“Learning from Learners” (“Von Lernenden Lernen”, “VoLL-KI ” for short) is a is collaborative research project with the goal of creating a practical toolbox of instruments at different levels of abstraction to improve the learning experience and …

Several researchers have focused in recent years on improving the efficiency of abdominal diagnostics by segmenting colonoscopy images with machine learning techniques. Previously, colonoscopy images were manually segmented by experts in this …

In our daily life navigation systems play a pivotal role. These technical aids are used to find a way in unknown environments. Nowadays, they are already integrated into cars or available as smartphone apps. However, navigation is not necessarily …