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, Vrije Universiteit Amsterdam (VU) and University of Amsterdam (UvA). 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, Vrije Universiteit Amsterdam and University of 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.
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.