Amsterdam

Lead and main contact for ICAI Amsterdam: Marcel Worring (m.worring@uva.nl).

The senior AI researchers leading an ICAI Lab in Amsterdam share the core values underlying their research in a living document. We encourage you to take a look and provide feedback.

The AI for Oncology lab is a collaboration between the Netherlands Cancer Institute and the University of Amsterdam. Both institutes join forces in the development of AI algorithms to improve cancer treatment. The goal of the collaboration is improved cancer treatment through the aid of Artificial Intelligence. A lot of complex information is acquired from patients during and prior to the treatment through medical imaging, pathology, DNA, and so on. AI solution can assist medical specialists finding and applying the right treatment based on all this information. Moreover, AI algorithms have the potential to guide medical interventions accurately to the location of the tumor without damaging surrounding healthy tissue.

The AIM Lab (AI for Medical Imaging) is a collaborative initiative of the Inception Institute of Artificial Intelligence from the United Arab Emirates and the University of Amsterdam. Together they will focus on using artificial intelligence for medical image recognition. Over the next five years, seven PhD researchers will work in the lab on projects that will focus, among other things, on achieving a quicker diagnosis of Alzheimer’s disease, modelling cardiac rhythms and on generating automatic reports based on X-ray images.

The AI for Retail (AIR) Lab Amsterdam is a joint UvA-Ahold Delhaize industry lab and will conduct research into socially responsible algorithms that can be used to make recommendations to consumers and into transparent AI technology for managing goods flows. The research will take place at Albert Heijn and bol.com, both brands of Ahold Delhaize. In addition, AIRLab Amsterdam will focus on talent development tracks.

Atlas Lab is a collaboration between TomTom and the University of Amsterdam. Atlas Lab will focus on using Artificial Intelligence (AI) for developing advanced, highly accurate and safe high definition (HD) maps for self-driving vehicles. In collaboration with location technology specialist, TomTom (TOM2), the UvA is embarking on research on the use of AI for creating HD maps suitable for all levels of autonomous driving.

The Civic Artificial Intelligence Lab is a collaboration between City of Amsterdam, the University of Amsterdam, and the VU University Amsterdam. Civic AI Lab focuses on the application of artificial intelligence in the fields of education, welfare, environment, mobility and health. Although AI offers great possibilities, there are also disadvantages to deploying AI that increase inequality in a city. With the Civic AI Lab, the City wants to examine examples of such friction so that in the future AI will promote equality and deliver fair opportunities, overcoming its negative side effects. The lab also serves as an information point for residents and businesses who have questions about new technologies and the ethical and inclusive use of them.

Cultural AI Lab bridges the gap between cultural heritage institutes, the humanities, and informatics. It is a collaboration between Centrum Wiskunde & Informatica (CWI), the KNAW Humanities Cluster (KNAW HuC), the National Library of the Netherlands (KB), the Rijksmuseum, the Netherlands Institute for Sound and Vision, TNO, the University of Amsterdam, and the VU University Amsterdam. AI plays a crucial role in analysing digitised cultural collections and making them accessible. Cultural AI Lab wants to harness the potential of AI for cultural research, and make the technology aware of cultural context. Core research themes revolve around public values such as diversity and inclusivity. The lab investigates how technology can deal with biases in data, account for multiple perspectives and subjective interpretations and bridge cultural differences.

Delta Lab is a collaboration between Bosch and the University of Amsterdam. The mission of UvA-Bosch DELTA Lab (Deep Learning Technologies Amsterdam) is to perform world class research in the fundamentals of deep learning, with applications to automotive and computer vision. Researchers at UvA will collaborate with researchers at Bosch through an exchange program. Topics include: Reinforcement Learning, Bayesian Deep Learning, Data Efficient Deep Learning, Multi-Modal Deep Learning, Generative and Unsupervised Deep Learning, Model Compression, and Adversarial Deep Learning.

Discovery Lab is a collaboration between Elsevier, the University of Amsterdam and VU University Amsterdam. This collaboration allows Elsevier’s data scientists to work closer with data scientists in academia, contribute to education and science, and pursue a PhD. Academics in turn gain a better understanding of how AI is used to innovate research platforms to solve real-world societal problems.

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.

Partnership for Online Personalized AI-driven Adaptive Radiation Therapy (POP-AART) is a public-private collaboration between The Netherlands Cancer Institute, the University of Amsterdam and Elekta. The lab focuses on the use of artificial intelligence for precision radiotherapy. It is a major challenge to give patients the right dose of radiation, at the right spot with least damage to healthy tissue, and while the patient and the tumor move and change shape during radiation and over time. And this should happen at each and every treatment session (which varies from 3 to 35). Within the POP-AART lab six PhD researchers develop novel AI strategies for improving the images on which the radiation treatment is based, predicting changes over time of the tumor and incorporating them in automatic treatment planning and adaptation.

QUVA Lab is a collaboration between Qualcomm and the University of Amsterdam. The mission of QUVA lab is to perform world-class research on deep vision. Such vision strives to automatically interpret with the aid of deep learning what happens where, when and why in images and video. Deep learning is a form of machine learning with neural networks, loosely inspired by how neurons process information in the brain (see side bar). Research projects in the lab will focus on learning to recognize objects in images from a single example, personalized event detection and summarization in video, and privacy preserving deep learning.