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Toward AI-assisted manufacturing of critical aerospace and medical components

Reference number
Coordinator Lunds universitet - Lunds Tekniska Högskola Inst f maskinvetenskaper
Funding from Vinnova SEK 1 000 000
Project duration July 2026 - June 2027
Status Ongoing
Venture Advanced digitalization - Industrial needs-driven innovation
Call US collaborations in AI, digital infrastructure and cybersecurity Stage 2

Purpose and goal

The project aims to strengthen cooperation between Swedish and U.S. partners in applied AI and digital manufacturing. Its purpose is to explore how complementary academic and industrial capabilities can be combined in a practical, responsible way. The goal is to create a common foundation for future collaboration, knowledge exchange and joint development, while supporting Sweden’s competitiveness and deeper links to U.S. research and innovation environments across industry and education sectors.

Expected effects and result

The expected results are a common collaboration platform, shared methods and a limited set of public presentations. The work should help Swedish and U.S. partners build trust, compare capabilities, and prepare follow-on activities. Effects are expected mainly through stronger networks, new skills, academic and industrial exchange, and a clearer route for future bilateral work in responsible AI-enabled manufacturing for industry and academic settings.

Planned approach and implementation

The project will be implemented as a focused cooperation between Swedish and U.S. partners, using coordinated planning, regular meetings, and selected exchanges. Work will proceed in stages: define shared requirements, carry out limited trials, develop and test digital methods, and evaluate a demonstrator in partner environments. Information sharing will be controlled, with public communication limited to general aims, learning outcomes and future collaboration opportunities across the partners.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 24 August 2026

Reference number 2026-01577