Projects
Digital revolution in Belgian Federal Government: an open governance ecosystem for big data, artificial intelligence, and blockchain (DIGI4FED). University of Antwerp
BALaTAI: Belgian Art Links & Tools for Artificial Intelligence Ghent University
The FED-tWIN research profile BALaTAI is a collaboration between the Royal Institute for Cultural Heritage in Brussels and the Research Group for Artificial Intelligence and Sparse Modelling (GAIM) of Ghent University. The goal of the research is to valorize KIK-IRPA’s digital collection and to raise new research questions with innovative artificial intelligence-technologies. These technologies will be applied to the digital art-historical ...
Digital revolution in Belgian federal government: an open governance ecosystem for big data, artificial intelligence and blockchain. KU Leuven
Context:
Three contextual factors define the context by which DIGI4FED is influenced. The first factor is the growing attention for the potential impact of Big Data (BD) and Artificial Intelligence (AI) on traditional government information processes. The second factor is the growing expectation of society from public administrations, to adopt new technological means to advance efficient and effective governance and ...
Using Artificial Intelligence to defend telecommunications and satellite positioning systems from the interference of space weather events KU Leuven
Our focus is the now- and fore-casting of the three elements that can directly influence the propagation of critical electromagnetic signals: the global geomagnetic, the global ionospheric, and solar energetic states. In this project we will exploit existing open databases of ground and space measurements of these three systems. This data will be used to perform corrections on existing standard models to take into account non-standard ...
Towards a KBR Data Science Lab using Knowledge and Data-Driven Artificial Intelligence for Digitization, Informatics, Iconography and Communication in the Cultural Heritage Sector Vrije Universiteit Brussel
Artifical Intelligence in Meteorological Applications (AIM). University of Antwerp
INSIGHT: Intelligent neural systems as integrated heritage instruments Ghent University
Many cultural heritage collections are nowadays going through a phase of mass-digitization, whereby heritage objects are digitized, catalogued and published at an unprecedented scale using computational means. This process is challenging because of the rapid pace at which it progresses: the digitization of cultural artefacts itself is already an expensive, and time-consuming process and yet, in the end, it only yields low-level data (e.g. ...