Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for
gathering knowledge and automating complex tasks in many areas of science and practice …

Artificial Intelligence (AI) covers a broad spectrum of computational problems and use cases.
Many of those implicate profound and sometimes intricate questions of how humans interact …

The discussion around the rapid evolution and omnipresence of Artificial Intelligence (AI) is
already rich, and AI is expected to be integrated into most aspects of everyday life. At the …

Modern production facilities are becoming increasingly complex, as companies battle to
meet the increasingly customer-specific demands with shorter lead times and higher …

This article outlines issues that emerge from the evolution of the Information Society towards
Ambient Intelligence (AmI) environments, focusing on the diversity of human needs, the …

In any industrial sector an increasing number of interconnected objects along with more
sensors relying on shortened query rates cause large data volumes that can be utilized for …

The digitization of manufacturing industry has led to leaner and more efficient production,
under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and …

Purpose The aim of this article is to map the use of AI in the user experience (UX) design
process. Disrupting the UX process by introducing novel digital tools such as artificial …

This paper builds on the on-going research in industrial AI, namely use cases from Business-
to-Business (B2B) factory automation, focusing on Artificial Intelligence (AI) technology and …

The abundance of information and increase in computing power currently enable
researchers to tackle highly complicated and challenging computational problems. Solutions …