The AI researchers at Radboud University and Radboudumc are working together with businesses and other organisations to take artificial intelligence to the next level. We share expertise in the broadest sense of the word, including in the fields of machine learning, neurotechnology, ethics, and health. Through interdisciplinary collaboration between researchers, we promote the development of innovative and socially relevant AI solutions. We do this with Radboud AI: a campus-wide initiative involving all seven faculties of Radboud University and Radboudumc.
Radboud AI
For professionals
Radboud AI strengthens the AI ecosystem by actively connecting companies and networks with our institutes, from regional to international. Are you working at a (large) company or another organisation and would like to collaborate with us? Email us at: radboudai [at] ru.nl. Or explore some examples of current collaborations, from MKB Datalab Oost to our partnerships with organisations like Alliander and ASMPT.
MKB Datalab-Oost
Are you a small or medium-sized business (SMB) owner and would you like to explore how AI can benefit your company? MKB Datalab-Oost can help with this! Our AI and Data Science students, under the guidance of our lecturers, carry out a project for your business.
Discover what MKB Datalab Oost can offer youAI education for professionals
At Radboud University, you learn how to apply AI responsibly to optimise business processes, while also considering societal opportunities and risks.
Discover our education for professionalsThis is how we collaborate with ASMPT
Faysal Boughorbel is the Director of R&D AI and Computer Vision at ASMPT, a global company in the semiconductor industry. Since 2017, he has been collaborating with Radboud AI. What does this collaboration bring to both parties?
Read moreAlliander and Radboud University
By better aligning education, research, and the professional field, the energy network company Alliander and Radboud University aim to contribute to the energy transition. The shift towards more sustainable energy use requires strategic collaboration.
Discover our collaborationRadboud AI: a broad perspective on AI
AI & Energy
How can we use AI to achieve the energy transition? Collaborations in this area include the AI for Energy Grids Lab (ICAI lab) and the strategic partnership with Alliander.
AI & Health
AI is being developed for a wide range of medical applications, from monitoring Parkinson's disease and detecting cancer to diagnosing heart conditions. Collaborations include: Radboud AI for Health (ICAI lab), HealthyAI Lab (ICAI lab), MERAI Lab (ICAI lab), AI for Parkinson Lab (ICAI lab), AI for Precision Health, Nutrition & Behaviour (ICAI lab) and the CARA Lab (ICAI lab)
AI & Language and Speech Technology
Radboud University researchers focus on an innovative development of language and speech technology, including within the Centre for Language and Speech Technology (CLST). Topics range from the use of Large Language Models (LLMs), computational linguistics, natural language processing (NLP), and speech recognition to chatbots, in various application areas. Check out: Responsible AI for Voice Diagnostics (RAIVD), ManuscriptAI and HYBRIDS.
AI & Chemistry
Can AI help us develop new chemical compounds and materials of the future? This is being researched and implemented in the Robotlab for Big Chemistry. This programme will combine chemistry research, high-end robotics technology, big data and AI.
AI & Education
Scientists and companies are collaborating with primary, secondary, and special education on smart technology for teachers and students in the National Education Lab AI (NOLAI). NOLAI researches the opportunities and risks involved with using new intelligent technology in education in practice, together with education and businesses, and it develops reliable products for teachers and students.
AI & Legal, Ethical, and Societal Aspects
How are AI and digitalization changing our norms, practices, and laws? What is the impact of AI and digitalization on our democracy, freedom, justice, solidarity, privacy, security, and ways of working? All of this is being researched within iHub.
AI & Data
Developing new AI algorithms is only possible with well-structured data. We are establishing a sustainable digital infrastructure for the entire Radboud campus within the Healthy Data programme.
AI basic principles & machine learning
We research and improve AI algorithms through mathematics-based theories, methods, and tools, and train a new generation of machine learning researchers within the ELLIS Unit. Check also Foundations for Robust Runtime monitoring (FuRoRe): the team aims to develop several algorithms applied to warning mechanisms in different domains in a lab setting.
AI & Neurotechnology
AI is being used to restore vision in the blind, hearing in the deaf, and communication possibilities in paralyzed individuals. Additionally, new machine learning algorithms are being developed to create brain-inspired computing technologies. These advancements are taking place at the Donders AI for Neurotech Lab (ICAI lab) and the ASMPT ICAI Lab (ICAI lab).
Radboud AI Event: See you in 2026!
Over 350 AI professionals attended on Thursday 13 February 2025 at De Vasim. Radboud AI, in collaboration with Radboud Healthy Data, organised the event Collaboration for Sustainable Growth. Keynote speaker Pim Haselager emphasized that "the EU must invest heavily in sustainable AI." The next edition will be held in 2026. Sign up for our newsletter to stay informed.
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About Radboud AI
Radboud AI encompasses all 7 faculties, more than 200 researchers, 50 PhD students, and 1,000 students. Understanding and simulating the brain also holds a special place within the Bachelor's and Master's AI programmes at Radboud University. Additionally, we have close collaborations with several world-renowned research institutes located on our campus, such as the Donders Institute and the Max Planck Institute.
Board
The Radboud AI board consists of Tom Heskes, Serge Thill, Pim Haselager, Sasha Caron, Colin Jacobs, Martha Larson, Bram van Ginneken, Jeroen van der Laak, Vera Blazevic, Andre Marquand, Dirk van Schaijk and Esther van Straten.
Advisory Board
The Radboud AI advisory board consists of Alain van Gool, Bert Kappen, André Janssen, Inge Molenaar, Wilhelm Huck, Natascha Rietdijk, Tibor Bosse and Marcel van Gerven.
Collaborations
ELLIS
The European Lab for Learning and Intelligent Systems (ELLIS) brings together excellent academic institutions in the field of machine learning. Radboud University is one of the three universities in the Netherlands with an ELLIS Unit. The mission of the ELLIS Unit Nijmegen is to promote theoretical and applied research in machine learning and to train the next generation of machine learning researchers.
Read more about our ELLIS unit
CLAIRE, AI-hub Oost-Nederland and Netherlands AI Coalition
We collaborate with various partners, including other universities and leading industrial partners, at both regional and international levels. As a university, we are deeply embedded in society. It is precisely at the intersection of government, business, societal organisations, and other knowledge and educational institutions that collaboration creates opportunities.
Radboud AI is affiliated with several networks, including CLAIRE, AI-hub Oost-Nederland, and the Netherlands AI Coalition.