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
- A1
- open access
Humans program artificial delegates to accurately solve collective-risk dilemmas but lack precision
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Explainable knowledge graph embeddings for industrial process monitoring & control
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- Journal Article
- A2
- open access
Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking
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- Journal Article
- A1
- open access
Dynamic multi-behaviour, orientation-invariant re-identification of Holstein-Friesian cattle
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- Journal Article
- A1
- open access
Electroencephalography decoding with conditional identification generator
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Towards parameter-free attentional spiking neural networks
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InfoClus : informative clustering of high-dimensional data embeddings
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- Journal Article
- A1
- open access
Causalteshap : discerning predictive from prognostic features for treatment effect analysis
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- Journal Article
- A1
- open access
Evaluation of out-of-distribution detection methods for data shifts in single-cell transcriptomics
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RR-GCN : exploring untrained random embeddings for relational graphs