Student teams develop innovative machine learning applications for semicon sector

How can you deploy AI talent to tackle real-world challenges in the high-tech industry? On Thursday 4 June, fourteen student teams from Radboud University provided a compelling answer to this question during the final presentations of the student challenges withinthe ‘Applied Machine Learning for Industries’ programme.

The challenges form part of the Master’s programme in Artificial Intelligence at Radboud University and bring students into direct contact with real-world business challenges. This year, the teams worked on assignments set by companies from the Lifeport Semicon Industries network, including ASMPT, Nexperia and Imec. Under the supervision of Assistant Professor Mahyar Shahsavari, they developed machine learning solutions for current real-world challenges.

Promising results for the semicon sector

During the final presentations, the results were enthusiastically received by the companies present. The developed models showed how artificial intelligence can contribute to more efficient processes, better analyses and smarter decision-making within the semicon industry. Several companies spoke of promising outcomes that, after further validation and testing on additional datasets, could potentially be further developed towards practical application.

Student presentations 4 June 2026

Working with real data

For the students, it was precisely the practice-oriented nature that was an important added value. Instead of academic datasets, they worked with real industrial data and imagery from the high-tech sector. This brought new challenges, but at the same time gave a realistic picture of the complexity and possibilities of AI applications within industry.

The importance of this approach was also stressed from the university. Allowing students to work on concrete issues from industry creates a valuable interaction between academic knowledge and industrial innovation.

Building the future of High Tech and Semicon together

The student challenges show how education and business can strengthen each other. Companies gain access to new insights and innovative ideas, while students gain experience with the technologies, datasets and issues at play within the High Tech and Semicon sector.

The positive reactions from students, teachers and companies make it clear that this cooperation tastes like more. The ambition is to offer new challenges next academic year as well, thus connecting even more AI talent to the region's innovation challenges.

This collaboration between the education sector and the business community was established by OnePlanet.