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Contact us
About the programme
To support its ambition to make Europe an AI continent the EU, together with the EU Member States and stakeholders will develop an Apply AI Strategy. It will support the development of world class AI models in the EU and foster the integration of AI technologies into the EU’s most strategic sectors.
Artificial Intelligence is therefore a cross-cutting priority in the Digital Europe Programme.
Under the main work programme 2025-2027, Specific Objective 2 – AI Continent focuses on the following areas:
marie.timmermann@fwo.be
+32 2 550 15 59
Find the contact info on the site of WEWIS
The National Contact Points (NCPs) provide support, guidance, and practical information to potential applicants, helping them navigate funding opportunities and application processes.
The Programme Committee (PC) members represent their country in decision-making about the work programmes, evaluate implementation, and provide strategic input on priorities and calls.
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The Horizon Europe project AI-BOOST has launched 4 specific Generative AI challenges to drive significant research progress in different areas: Challenge 1: GenAI-Based Natural Language Mission Generator for Autonomous Robots in Agriculture (deadline: 25 August 2026) Challenge 2: Agentic AI for Automated CAD Generation and Autonomous Simulation... read more
Infosheets contain edited content on aspects related to this programme. They are reviewed at least yearly.
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The Marie Skłodowska-Curie Action (MSCA) European Innovative Training Network “PBNv2 - Next generation Pass-By Noise approaches for new powertrain vehicles” started in May 2017. Their research has the shared objective of investigating the possibilities to decrease pass-by noise of vehicles.
The project is a collaboration between 17 research institutions and companies in the European automotive R&D and provides a learning environment for 14 PhD fellows. The Belgian partner is the Noise and Vibration Research Group of KU Leuven, and this project is one of the many Horizon 2020 MSCA Innovative Training Networks that the KU Leuven research group participates in.
