This interactive workshop invites participants to explore the hidden workings of algorithms—such as those shaping social media, generative AI, and facial recognition—through musical and artistic experimentation. Rather than approaching these technologies purely analytically, participants will engage …

The NO-GIZMOS project has shown that decentralized assets in the low-voltage grid can effectively resolve congestion problems at the medium voltage (MV) level. Our pilot in Ansen demonstrated that a community-based and algorithmically driven Virtual Power Plant of nine household batteries can reduce …

Overal om ons heen nemen algoritmen en AI-systemen beslissingen die mensen raken. In het onderwijs, bij de overheid, in dienstverlening. Vaak gaat het gesprek over wat technisch kan en wat juridisch mag. Maar een cruciale vraag blijft te vaak liggen: wat willen we eigenlijk – en voor wie ontwerpen we …

Presentatie bij Autoriteit Persoonsgegevens over algorithmic affordances en hoe deze hun dienstverlening kunnen verbeteren

Forecasting the thermal behavior of flexible heating assets is essential for real-time energy management in heating systems. While thermal dynamics are complex, the optimization algorithms within energy management systems (EMS) require low-order models with minimal computational load to make rapid, real-time …

Algorithmic affordances—interactive mechanisms that allow users to exercise tangible control over algorithms—play a crucial role in recommender systems. They can facilitate users’ sense of autonomy, transparency, and ultimately ownership over a recommender’s results, all qualities that are central to …

AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults "aging in place." Despite its potential to support several challenges …

Privacy concerns can potentially make camera-based object classification unsuitable for robot navigation. To address this problem, we propose a novel object classification system using only a 2D-LiDAR sensor on mobile robots. The proposed system enables semantic understanding of the environment by applying …

Three-dimensional (3D) reconstruction has become a fundamental technology in applications ranging from cultural heritage preservation and robotics to forensics and virtual reality. As these applications grow in complexity and realism, the quality of the reconstructed models becomes increasingly critical. …

Human Digital Twins zijn een opkomend type Digital Twin dat in de gezondheidszorg wordt gebruikt om persoonlijke ondersteuning te bieden. In navolging van deze trend zijn we van plan om onze virtuele fitnesscoach, een coachingplatform dat gebruikmaakt van draagbare gegevens over fysieke activiteit, naar …