Flanders AI Research Program
The Flanders AI Research Program stands for strategic basic research into artificial intelligence, based on the needs and demands of companies, organizations, the government, and citizens.
Our goal is the successful adoption of AI in Flanders. In this way, we contribute to a sustainable and prosperous human-centered digital future in Flanders, as well to economic growth and innovation in our region. All our research is also aligned with the European ambition and strategies for AI and the digital agenda for 2030.
Field of study/sector
- Government & Administration
- Business & management
- Human resources (HR)
- Across all disciplines (AI in general)
Permanent courses
Demystifying Artificial Intelligence
book - De Gruyter, KBC, Flanders AI Research Program
Integrating Subspace Identification and Prediction Error Methods
Webinar AI for Times Series with Michel Verhaegen (TU Delft) - Online - VAIA, Flanders AI Research & KU Leuven STADIUS
Kernel Based Transfer Function Estimation with Enhanced Prior Knowledge
Webinar AI for time series with John Lataire - Online - KU Leuven STADIUS & Flanders AI Research & VAIA
Decision Support for the Low Voltage Distribution Grid; the Role of Electricity Consumption Time Series
Webinar AI for time series with Koen Vanthournout - online - KU Leuven STADIUS & Flanders AI Research & VAIA
Statistical Learning of Knowledge from Sequence Data
Webinar AI for Times Series webinar with Nick Harley - Online - VAIA, KU Leuven ESAT Stadius & Flanders AI Research
Distribution-free prediction intervals for time series forecasting
Webinar AI for Times Series with Willem Waegeman - Online - VAIA, KU Leuven ESAT Stadius & Flanders AI Research
Seizure Detection with Wearable Devices and AI
Webinar - VAIA, Flanders AI Research & KU Leuven STADIUS
Past courses
Multi-period financial stress testing: an integrated risk view
seminar - Leuven & online - an AI for Times Series Seminar with Tony Van Gestel (Dexia) - VAIA, Flanders AI Research & KU Leuven STADIUS
Semiparametric Time Series Modelling
seminar - Leuven & online - an AI for Times Series Seminar with Kurt Barbé (VUB, Department Biostatistics and Medical Informatics) - VAIA, Flanders AI Research & KU Leuven STADIUS
Data-driven Model Learning in Interconnected Systems
seminar - Leuven - an AI for Times Series Seminar with Paul Van den Hof (TU Eindhoven) - VAIA, Flanders AI Research & KU Leuven STADIUS
Machine Learning Approaches for Analyzing Time Series from Sports
webinar with Jesse Davis, online, KU Leuven STADIUS & Flanders AI Research & VAIA
Kernel Machines for Dynamical Systems Modelling
online & live seminar - an AI for Times Series Seminar with Johan Suykens of KU Leuven ESAT-STADIUS & Leuven.AI Institute - VAIA, Flanders AI Research & KU Leuven STADIUS
Constraint Guided Deep Learning to Add Semantics to Acoustic Signals
webinar - an AI for Times Series Seminar with Peter Karsmakers (KU Leuven DTAI) - VAIA, Flanders AI Research & KU Leuven STADIUS
Multi-view Analysis of Temporal Data
online & live seminar - an AI for Times Series Seminar with Elena Tsiporkova (Sirris) - VAIA, Flanders AI Research & KU Leuven STADIUS
Experts
Bart De Moor
Voorzitter VAIA (Vlaamse AI Academie), Co-auteur van het Vlaamse Beleidplan Artificiële Intelligentie, Gewoon hoogleraar - KU Leuven
Sabine Demey
imec - Flanders AI Research Program
Kevin D'hooge
Flanders AI Research Program
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