Nine innovative projects will receive a High-Performance Computing and AI boost after they made the cut for the HPC-AI BRIDGES joint call for projects.
In the final list are AID-Care, NEURESA, EASE, Gravity AI, GenePPS, CLAIRE, AI4Kids, RAISE, and HISEED.
Announced by the Luxembourg economy ministry and national research fund the FNR, and launched with Luxinnovation, in Spring 2025 the joint call is designed to encourage collaborative research and development projects via public-private partnerships (PPPs). The beneficiaries receive financial support to develop new applications, services, and technological capabilities that exploit the potential of AI and HPC for the benefit of society.
Discover the nine projects below.
AID-Care
‘Artificial Intelligence for neurodegenerative diseases Care (AID-Care)’, from NTT Luxembourg PSF in collaboration with the Luxembourg Centre for Systems Biomedicine (LCSB) of the University of Luxembourg, leverages AI to transform unstructured health records into interoperable dementia datasets, enabling personalised care and advancing research across Luxembourg and Japan.
Total budget: €1,806 million
NEURESA
“Neuro-Symbolic Reasoning for Embedded System Architectures Design (NEURESA)”, from COGNIFYER and the University of Luxembourg, aims to develop an intelligent agent‑based computer‑aided design (CAD) software that integrates AI‑driven modelling, combined with natural language interfaces, neuro‑symbolic constraint solving, and GPU‑accelerated computation. Combined, the solution enables users to design complex electronic systems for cars in a much more efficient, reliable, and accessible way.
Total budget: €1,135 million
EASE
A collaboration from WEO and the Luxembourg Institute of Science and Technology (LIST), EASE project aims to tackle the growing climate-resilience challenges faced by cities. By combining High-Performance Computing with advanced Super-Resolution (SR) and Explainable AI (XAI) techniques, the project enhances the quality of freely available satellite data, enabling more accurate and interpretable environmental monitoring despite the limitations of costly high-resolution imagery.
Total budget: €1,110 million
Gravity-AI
A collaboration between the Luxembourg Centre for Systems Biomedicine (LCSB) of the University of Luxembourg and Exobiosphere, Gravity-AI is developing an integrated platform combining simulated microgravity experiments. It uses artificial intelligence and high-performance computing for physiologically relevant modelling of Parkinson’s disease.
Total budget: €1,434 million
GenePPS
‘Gene Perturbation Prediction Systems (GenePPS)’ from Helical and the University of Luxembourg seeks to develop hybrid AI models combining graph neural networks and foundation models to predict gene perturbation effects. It proposes to reduce experimental costs, and accelerate precision medicine and drug discovery.
Total budget: €931.000
CLAIRE
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg, and Hydrosat are working on this project to make satellite-to-ground data transmission more efficient and cost-effective. They are developing an end-to-end, AI-powered cloud-detection and compression system for thermal infrared Earth-observation images, using high-performance computing to allow satellites to send data to the ground more easily while using less energy and bandwidth.
Total budget: €1,423 million
AI4Kids
A joint project from LuxAI and the University of Luxembourg, ‘AI4Kids: Norm-First & HPC-Verified Interactive Agents for Child-facing Applications’ targets the development of a child-centred AI framework that integrates norm-first generative AI, goal-directed planning, and explainable decision-making to ensure safe, pedagogically aligned, and compliant interactions for children in sensitive contexts such as education and healthcare.
Total budget: €1,666 million
RAISE
Orange Communications Luxembourg and the Luxembourg Institute of Science and Technology (LIST), is behind “RAISE: Radio Access Intelligence for Saving Energy.” The project aims to design and test AI-powered methods that reduce the energy consumption of mobile Radio Access Networks while maintaining a high quality of service for users. The partners use data-driven modelling and digital-twin simulations to evaluate and optimise network performance under real-world conditions.
Total budget: €1,309 million
HISEED
Paul Wurth and the University of Luxembourg want to reduce carbon emissions in ironmaking. “HISEED” (High-Fidelity Multiphase CFD Simulations for Hydrogen-Based Iron Ore Reduction in Circulating Fluidized Beds) aims to build a simulation framework that can accurately model the process of hydrogen-based direct reduction of iron ore in circulating fluidized bed reactors. To achieve this, it uses detailed fluid-flow simulations supported by high-performance computing.
Total budget: €773.000
A joint call for projects for 2026 and 2027 in the fields of Data, Artificial Intelligence (AI) and/or Quantum will be open for submission from 1 March 2026.
