Explainable artificial intelligence (xAI) is seen as a solution to making AI systems less of a “black box”. It is essential to ensure transparency, fairness, and accountability – which are especially paramount in the financial sector. The aim of this study was a preliminary investigation of the perspectives …

Introduction This study aims to advance theoretical development on digital transformation (DT) skills that are essential for sustainable employment. Rapid and continuous advancements of digital technology, such as increased automation, artificial intelligence (AI), big data, cloud computing, robotics …

The use of algorithmic tools by journalists for information-gathering has received particular attention in recent years. While it might facilitate the research process, there are also concerns about their impact on journalism. Based on reconstruction interviews with 27 journalists, we first answer the …

Critical reflection, addressing students’ attitude, beliefs and values related to pressing topics in the world, plays a crucial role in developing ethical sensitiveness and critical design literacy in design education. Critical reflection is provoked by discussing self-made photos, as is demonstrated …

Hoewel de noodzaak tot samenwerking in de logistiek groot is, blijft de samenwerking tussen organisaties in deze sector achter. De logistiek kent veel mkb ondernemingen, vaak zijn het familiebedrijven die al generaties actief zijn. Logistiek is relatief makkelijk kopieerbaar, mede waardoor de concurrentie …

Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for …

We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the …

Machine Learning techonology is used to recognize piano note based on audio. Thesis descibes progress on research of ML techonlogyitself and the way how model can be develoepd and trained. Specificaly one architecture is described, that is CNN. Note recongition is based model trained on Nsynth3 database. …

Covid-19 made us realize that educational practices in higher education must change AND can change. A possible solution for practicing lab work is working in a remote lab: a real lab in which students and the equipment/instruments are physically apart. The concept of printed touchless electronics was …

This explanatory sequential mixed methods study explores the perceptions of academic and administrative managers responsible for teacher training at a public university in Colombia, as well as their views on improving such training after learning about the performance of teachers student teachers in …