Delft

AI for Bioscience Lab (AI4B.io Lab) is a collaboration between Delft University of Technology and DSM. The lab focuses on improving production technologies and developing bio-based products using AI. AI4B.io Lab is the first of its kind in Europe to apply artificial intelligence to full-scale biomanufacturing, from microbial strain development to process optimization and scheduling. AI4B.io Lab is aimed at long-term innovation in the domain of AI for developing biobased products and optimizing biobased production technologies. It targets to develop a deep understanding of how novel AI technology (methods, techniques, theories, and algorithms) can strengthen the effectiveness and efficiency of relevant research and/or business processes in the biotech industry.

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.

AI for Fintech Research (AFR) is a collaboration between ING and Delft University of Technology. The mission of AFR is to perform world-class research at the intersection of Artificial Intelligence, Data Analytics, and Software Analytics in the context of FinTech. Over the next five years, ten PhD researchers will work in the lab on projects that will focus, among other things, on autonomous software engineering, data integration, analytics delivery, and continuous experimentation.

The AI for Retail (AIR) Lab Delft is a joint TUDelft-Ahold Delhaize industry lab consisting of a robotics research program and test site focused on developing state-of-the-art innovations in the retail industry. By expanding its focus to robotics, AIRLab Delft will further drive innovations for daily business while building more knowledge of the intersection between retail, AI and robotics. The expansion comprises a robotics research program and test site for developing state-of-the-art innovations in the retail industry.

The Mercury Machine Learning Lab is a collaboration between University of Amsterdam, Delft University of Technology and Booking.com. The lab focuses on the development and applications of artificial intelligence to the specific domain of online travel booking and recommendation service systems. The research projects cover fundamental research topics, ranging from model-based exploration, parallel model-based reinforcement learning, methods for combined online and offline evaluation, prediction methods that correct for undesired feedback loops and selection bias, domain generalization and domain adaptation, and novel language processing models for better generalization. These topics are both of fundamental scientific importance, as well as of immediate practical relevance for modern online businesses like Booking that aim to maximize customer satisfaction in quickly changing markets with the help of sophisticated data analytics.

The National Police Lab AI is a collaborative initiative of the Dutch Police, Utrecht University, University of Amsterdam and Delft University of Technology. Together the lab aims to develop state-of-the-art AI techniques to improve the safety in the Netherlands in a socially, legally and ethically responsible way. The researchers in the lab work on techniques across the full breadth of AI. At the University of Amsterdam, machine-learning techniques for extracting the right information from different sources such as photos, text and video are developed. Utrecht University focuses on models from symbolic AI that allow us to reason with and communicate this information.

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. RAIL Lab is a collaboration between Delft University of Technology, Utrecht University, Dutch Railways, and ProRail.

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). TROIKA Lab is a collaboration between the Delft University of Technology, Maastricht University, Biomax Informatics AG, and Royal DSM.

REAiHL aims to develop and deploy AI technologies that are safe, transparent, and aligned with ethical principles to improve healthcare outcomes. Through synergistic efforts, the academic (ErasmusMC and TU Delft) and non-academic (SAS Institute) stakeholders will foster collaboration and innovation to advance the ethical use of AI in healthcare.