¹û¶³´«Ã½-led AI consortium Foundation for Industry receives a 4.4 million grant from NWO

Competitive industry with AI
Foundation for Industry (FIND) - Large AI models for a resilient high-tech industry
The FIND project develops large artificial intelligence (AI) models that contribute to automating complex industrial tasks. The applications targeted by the researchers require new, more powerful AI-models with improved robustness and transparency. Moreover, these models must be able to work with various unexplored types of data. They must be able to be hosted on edge devices such as smartphones or tablets to speed decision-making while maximizing privacy. Increasing automation across the high-tech, chip industry, and healthcare segments helps maintain an efficient and competitive Dutch industry and society. The project builds on international, state-of-the-art AI technology and will develop a novel pre-competitive AI ‘toolkit’ comprising documented and open-source trained models, the necessary software for training and integration, and validated research results.
Broad consortium
The project consists of a diverse group of experts and stakeholders:
- Project leaders: Dr. Gijs Dubbelman (TU Eindhoven) and Dr. Dave Marples (Technolution)
- Knowledge institutes: Delft University of Technology, Eindhoven University of Technology, Leiden University, NKI, TNO, University of Amsterdam, Vrije Universiteit Amsterdam
- Companies: ASML, ASMPT, Brainport Development, Canon, KAIKO, KeyGene, NXP, Perciv.AI, Shell, Signify, Stryker, Technolution
The total project budget is 6.4 million euros of which €4.4 million is contributed by NWO and €2.0 million is contributed by the industry partners.
Dr. Gijs Dubbelman, project leader and Associate Professor at TU Eindhoven, emphasizes the importance of this grant: "We advance AI, to make Dutch industries more productive and stay competitive“.
The FIND project starts in May 2025 and is expected to generate 12 innovative applications in 3 domains: Healthtech, Smart Industry and Mobility & Robotics.
The project will last 6 years and will include 12 PhD and 3 Postdoc positions.
Project researchers
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