Project: Flanders Artificial Intelligence Research program (FAIR) – second cycle - 2025
2025-01-01 – 2025-12-31
- Abstract
The Flanders AI Research Program is a strategic basic research program with a consortium of eleven partners: the five Flemish universities (KU Leuven, University of Ghent, University of Antwerp, University of Hasselt, Vrije Universiteit Brussel) and six research centers (imec, Flanders Make, VIB, VITO, Sirris and ILVO).
The program brings together 300+ researchers on new AI methods that can be used in innovative applications in health, industry, planet&energy and society. This way, the program contributes to a successful adoption of AI in Flanders. The ambition is for Flanders to occupy a strong international position in the field of strategic basic research in AI, and this within a strong and sustainable Flemish ecosystem.
Five focus research themes have been selected: responsible AI, human-centered AI, sustainable AI (energy-efficient and high-performance), productive and data-efficient AI (systems that require little data, which perform by combining data with domain knowledge and experience of experts) and resilient and high-performant AI (robust against changes in the environment). The description of the work packages and their research tasks defines the aspects within these themes that will be investigated in the program. The AI solutions are demonstrated in real-life use cases. These results not only demonstrate the effectiveness, but also inspire companies for adoption and researchers for further research.
The Flanders AI Research Program is part of the Flanders AI Policy Plan. More info: www.flandersairesearch.be
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- Journal Article
- open access
CARGO: A cytometry analysis framework via Regularized graph optimal-transport
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An EEG-based framework for exploring adaptive rhythmic human–machine interaction
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- Conference Paper
- P1
- open access
Predictive coding-based deep neural network fine-tuning for computationally efficient domain adaptation
(2026) ACTIVE INFERENCE, IWAI 2025. In Communications in Computer and Information Science 2857. p.312-327 -
Next-event prediction in soccer : assessing the impact of team and player information
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- Journal Article
- A1
- open access
A narrative review on the interpretability of fuzzy rule-based models from a modern interpretable machine learning perspective
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Guided by uncertainty : adaptive frequency sampling using Gaussian processes
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- Journal Article
- A1
- open access
Parallel delayed memory units for enhanced temporal modeling in biomedical and bioacoustic signal analysis
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- Journal Article
- A1
- open access
Explainable AI for aquatic environmental intelligence : a SHAP-enhanced LSTM approach using high-frequency water quality data in a river system
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- Miscellaneous
- open access
Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and physically-based model simulations
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- Journal Article
- A1
- open access
Scalable context-preserving model-aware deep clustering for hyperspectral images