Machine vision systems based on deep convolutional neural networks are increasingly utilized in digital humanities projects, particularly in the context of art-historical and audiovisual data. As research has shown, such systems are highly susceptible to bias. We propose that this is not only due to their reliance on ...

The use of the pronoun ich (‘I’) in academic language is a source of constant debate and a frequent cause of insecurity for students. We explore manually annotated instances of I from a German learner corpus. Using machine learning techniques, we investigate to what extent it is possible to automatically distinguish ...

In manufacturing, small and medium-sized enterprises (SMEs) face global competition. In the field of predictive maintenance (PdM), artificial intelligence (AI) helps to prevent machine failures and has the potential to significantly reduce costs and increase process efficiency. Even though PdM has several benefits, it ...