Radboud University
Radboud AI is a campus-wide initiative connecting all activities on Artificial Intelligence and Data Science within Radboud University and Radboudumc. We take an integrated perspective on AI, where the collaboration of scientists from different fields is essential for the development of AI technologies.
Every month we send out a newsletter about new projects, developments and events, from and for Radboud AI researchers.
Are you part of a large company or other organisation and would you like to collaborate with us?
radboudai [at] ru.nl (Collaborate with Radboud AI)
Are you an entrepreneur at an SME and would you like to know what AI can do for your company? The SME Datalab-East can help you out! Our AI and Data Science students will, under supervision of our researchers, work on a AI projects for your SME.
Discover what the SME Datalab-East can offer
Why study Artificial Intelligence in Nijmegen? Understanding and simulating the brain occupies a special place in the Artificial Intelligence programme at Radboud University. Besides, we have a close collaboration with several world-renowned research institutes, which are located on our campus, e.g. the Donders Institute for Brain, Cognition & Behaviour, and the Max Planck Institute for Psycholinguistics. Read more.
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 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)
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.
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.
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.
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.
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.
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 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).
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 few 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 UnitWe collaborate with various partners, including other universities and leading industrial partners, from regional to international levels. As a university, we are at the heart of society. It is precisely at the intersection of government, business, social organizations, and other knowledge and educational institutions that collaboration creates opportunities. We are also affiliated with networks such as CLAIRE AI, AI Hub East Netherlands and the Netherlands AI Coalition.
Collaborate with Radboud AI
Lotte van Elteren, a philosopher at Radboud University, joined Radboud Science Snacks. This podcast features Radboud University scientists discussing a small aspect of their field in the time it takes to eat a bowl of popcorn. In this ultra-short episode, Lotte talks about the dizzying possibilities and potential dangers of AI.
The board of Radboud AI consists of Tom Heskes, Serge Thill, Pim Haselager, Sasha Caron, Colin Jacobs, Martha Larson, Bram van Ginneken, Jeroen van der Laak, Mustafa Acikyurek, Andre Marquand, Dirk van Schaijk, Esther van Straten and Fleur Hendriks.
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.
