The huge number of images shared on the Web makes effective cata loguing methods for efficient storage and retrieval procedures specifically tai lored on the end-user needs a very demanding and crucial issue. In this paper, we investigate the applicability of Automatic Image Annotation (AIA) for im age …

In the past few years, the EU has shown a growing commitment to address the rapid transformations brought about by the latest Artificial Intelligence (AI) developments by increasing efforts in AI regulation. Nevertheless, despite the growing body of technical knowledge and progress, the governance of …

Machine learning models have proven their use in the medical field, assisting physicians in early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could benefit from early detection, but the amount of data available to train accurate models is limited. This challenge could …

An extensive inventory of 137 Dutch SMEs regarding the most important considerations regarding the use of emerging digital technologies shows that the selection process is difficult. En trepreneurs wonder which AI application suits them best and what the added (innovative) value is and how they can implement …

Multilevel models using logistic regression (MLogRM) and random forest models (RFM) are increasingly deployed in industry for the purpose of binary classification. The European Commission’s proposed Artificial Intelligence Act (AIA) necessitates, under certain conditions, that application of such models …

De opkomst van Chat GPT laat zien hoe AI ingrijpt in ons dagelijks leven en het onderwijs. Maar AI is meer dan Chat GPT: van zoekmachines tot de gezichtsherkenning in je telefoon: data en algoritmes veranderen de levens van onze studenten en hun toekomstige werkveld. Wat betekent dit voor de opleidingen …

This white paper is the result of a research project by Hogeschool Utrecht, Floryn, Researchable, and De Volksbank in the period November 2021-November 2022. The research project was a KIEM project1 granted by the Taskforce for Applied Research SIA. The goal of the research project was to identify the …

According to literature, digital transformation requires an organization to develop a broad, holistic, and business ecosystem perspective on how digital technologies can be used to rethink and improve business models, products, services, and processes. The objective of this research is to empirically …

As robotic applications become increasingly diverse, more domains of human lives are being involved, now also extending to educational, therapeutic, and social situations, with a trend to even more complex interactions. This diversity generates new research questions that need to be met with an adequate …

Voice intelligence is a revolutionary “zero-touch” type of human-machine interaction based on spoken language. There has been a recent increase in the number and variations of voice assistants and applications that help users to acquire information. The increased popularity of voice intelligence, however, …