The RAIL Lab is a research lab dedicated to developing AI technology to increase the overall logistic rail capacity. The lab works towards algorithmic support to ensure safe and reliable logistic operations and capacity planning that is trusted by human experts. The lab‘s research goal is to tackle long–term challenges related to the dynamic management of transport demand on railway nodes, with the aim of responding quickly and adequately to changing circumstances.

The TROIKA Lab is a research lab that seeks to extend and enhance state-of-the-art Artificial Intelligence (AI) methods for semantic knowledge engineering, human-centered AI, and crowd computing to develop the TRustworthy cOllaboratIve Knowledge Accelerator (TROIKA). The lab is a collaboration between the Delft University of Technology, Maastricht University, Biomax Informatics AG, and Royal DSM.

The AI-FAIR Lab is focused on improving the completeness, generalization, explainability, and deployability of deep data-driven methods for automotive imaging radar processing, with a primary use case of collision risk prediction with vulnerable road users. The AI-FAIR Lab is a collaboration between the Eindhoven University of Technology, NXP Semiconductors, and NLAIC.

The REM Lab is researching the use of AI in the media industry to develop transparent and explainable AI systems, investigate the value of actions and predictions across media platforms, and create methods for automatically generating content to support independent and transparent news and media organizations in the Netherlands. REM Lab is a collaboration between DPG Media, the Jheronimus Academy of Data Science, and the University of Amsterdam.

STROKE Lab focuses on improving the outcome of stroke patients by developing AI-based models for various stages in the patient journey and assessing these models for clinical practice. The lab is a collaboration between Erasmus MC and the Erasmus University of Rotterdam, who bring in clinical domain and academic expertise, and Philips interested in the development of products for clinical decision support.

The research of TAMRI Lab aims to improve the accuracy and reduce the costs of MRI-based diagnosis using AI methods, with a focus on neurological and musculoskeletal diseases. TAMRI Lab is a collaboration between Erasmus MC, General Electric Healthcare, and the Erasmus University of Rotterdam.

The research of the SAFEGUARD Lab is focused on developing and validating new auditing theories, tools, and methodologies to ensure that AI-enabled enterprise systems and applications have a high degree of integrity. SAFEGUARD Lab is a collaboration between Deloitte and the Jheronimus Academy of Scientific Data Science.

ILUSTRE is a living lab in the Caribbean with the objective to develop, implement and test AI innovations that will accelerate the use of clean energy and advance solutions in water treatment and wastewater recycling/purification.

The Philips AI4MRI lab will research the use of Artificial Intelligence (AI) to optimize Magnetic Resonance Imaging (MRI) in terms of speed, image quality, robustness, and integration, in collaboration with Philips, Leiden University Medical Center, and Leiden University.

The AI for Parkinson Lab is researching the use of AI-based tools to process raw wearable sensor and video data into digital biomarkers to monitor Parkinson’s disease in real-life, in order to provide more reliable and sensitive assessments than current clinical assessments. The AI for Parkinson Lab is a collaboration between Radboud UMC, Verily, Radboud University, and the Donders Institute at Radboud University.

The research of the MERAI Lab is about developing AI-supported software solutions for healthcare to improve the accuracy of imaging interpretation in the lung oncology field, reduce the time needed to report scans, and improve the cost-effectiveness of the healthcare system. MERAI Lab is a collaboration between Radboud UMC and MeVis Medical Solutions.

The ASMPT Lab focuses on developing trustworthy AI models, algorithms, and technology for real-time inference, prediction, and control of high-throughput data streams in the semiconductor industry. The partners involved in this research are ASM Pacific Technology and the AI Department of the Donders Institute at Radboud University.

The AI for Energy Grids Lab is focused on developing methods and tools that use grid data to improve the efficiency, sustainability, and reliability of the medium-low voltage grid. It combines the expertise of Alliander data scientists, electrical engineers, and the latest digitalization programs for grid data, with academic expertise on methods from artificial intelligence. The lab’s collaboration network includes all Dutch Distribution system operators, as well as academic institutions such as Delft University of Technology, Radboud University, and the University of Twente.

CARA Lab researches automated segmentation and characterization of intravascular structures and lesions, optimizing OCT-based algorithms to assess physiologic characteristics, high-risk plaque identification, and predicting stent-related complications, with the goal of increasing the usability, reliability, and applicability of intravascular OCT in interventional cardiology through the use of trustworthy AI. The lab is a collaboration between Abbott, Radboud University Medical Center, and Amsterdam University Medical Center.

The research at the HEALTHY-AI Lab aims to develop trustworthy, robust artificial intelligence (AI) technology for use in healthcare, with a primary focus on assisting with prostate cancer diagnosis using magnetic resonance imaging (MRI) and exploring the ethical challenges of achieving trustworthy AI. The HEALTHY-AI Lab is a collaboration between RadboudUMC, Siemens Healhtineers, UMC Groningen, and the University of Twente.

The TAIM lab brings together two of the strongest groups on personalization and recommender systems in the Netherlands, the University of Amsterdam and the University of Maastricht, and a leading media organization, RTL, to develop trustworthy and personalized media.

The FEPlab (Free Energy Principle Laboratory) is a collaboration between Eindhoven University of Technology (TU/e) and GN Hearing. The mission of the lab is to ameliorate the participation of hearing-impaired people in formal and informal social settings. The lab will focus its research on transferring a leading physics/neuroscience-based theory about computation in the brain, the Free Energy Principle (FEP), to practical use in human-centered agents such as hearing devices and VR technology.