Projects
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 ...
Intelligent Neural Systems as InteGrated Heritage Tools (INSIGHT). 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. ...
Neurophysiological investigations of the human and nonhuman primate cerebral cortex: from perception to action KU Leuven
Artifical Intelligence in Meteorological Applications (AIM). University of Antwerp
Snow mass observation based on EO data and machine learning - SNOWTRANE Ghent University
The accurate monitoring of snow water equivalent (SWE) is critical to assess global water resources. Despite the importance, we still lack a basic understanding of how much snow is seasonally stored on Earth, especially in mountains where a major part of the terrestrial snow is located. The central hypothesis of Snowtrane is that Machine Learning Algorithms (MLA), more specifically Artificial Neural Networks, can be trained to address ...