Civic AI Lab is one of the seven University of Amsterdam projects to be awarded 10.000€ from the "Gewaardeerd!" fund of the Ministry of Education. We aim to use these resources to spread the word about developing AI technology that promotes economic and social human rights, such as the right to health, education and employment, while respecting fundamental human rights such as non-discrimination and equality of opportunity.
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Civic AI Lab
The Civic AI Lab is a 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, health, ethics, and governance.
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Atlas Lab
Atlas Lab is a a collaboration between ‘location technology specialist’ TomTom (TOM2) and the University of Amsterdam (UvA). The public-private research lab focuses on using Artificial Intelligence (AI) for developing advanced, highly accurate and safe high definition (HD) maps for self-driving vehicles. The lab is based at Amsterdam Science Park.
Autonomous driving
The lab focuses on the use of AI for creating HD maps suitable for all levels of autonomous driving. Theo Gevers, one of the Scientific Directors at Atlas Lab, comments: “At the UvA we are already doing research on automated recognition of items in images and videos. Yet the recognition of items and creation of HD maps in highly complex situations like a moving car, is still a huge challenge. This collaboration with TomTom provides an extra dimension to new and challenging AI-research.”LIDAR
Five PhD students work on projects contributing to automated recognition of items like traffic signs, 3D-localization of vehicles and combining LIDAR (light detection and ranging) laser and camera images. For retrieving data, mobile mapping vans equipped with sensors, like LIDAR-systems and cameras, are being used.High definition (HD) maps
“TomTom is pushing the boundaries of the use of AI for making HD maps for self-driving cars,” said Harold Goddijn, TomTom’s CEO. “We need groundbreaking research into AI technology, which is why we’re collaborating with UvA’s world-leading AI department on this initiative. This will move us a step closer to an autonomous future with safer roads, free of congestion and emissions.”Source: ICAI - Atlas Lab
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Cultural AI Lab
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.
Artificial Intelligence 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.
Cultural AI Lab’s mission is the study, design and development of socio-technological AI systems that are implicitly or explicitly aware of the subtle and subjective complexity of human culture. The lab is as much about using AI for understanding human culture as it is about using knowledge and expertise from the humanities to analyse and improve AI technology. It studies how to deal with input and output data in the context of the intended (or other) application areas, how to deal with cultural bias in data and technology and how to build AI technology that is optimised for cultural and ethical values.
For more information: ICAI - Cultural AI Lab or Website Cultural AI Lab
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AIM Lab
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. It focuses on using artificial intelligence for medical image recognition.
Medical practice requires more and more interpretation of digital images. Human experts are expensive, error prone and get tired. Recent developments in image recognition, in particular through ‘deep learning’, have shown that computers can extract more information from images and are sometimes more reliable than people due to their increased accuracy. However, image recognition has mainly focused on natural images such as those on Instagram and YouTube. Adapting and further developing image recognition to the characteristics of medical images is an important challenge for the AIM Lab. For 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. From a technical perspective, work will be done on fundamental and relatively general AI models and algorithms that can be applied to specific disease.For more information: ICAI - AIM Lab -
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AIRLab Amsterdam
The AI for Retail (AIR) Lab Amsterdam is a joint UvA-Ahold Delhaize industry lab and conducts 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 takes place at Albert Heijn and bol.com, both brands of Ahold Delhaize. In addition, AIRLab Amsterdam focuses on talent development tracks.
A selection of the research topics
Self-learning forecast & event management
As good as required- customer demand forecast that is automated and self-learning on both short- and long-term, differentiated by location and article, while taking into account events, seasonal trends, promos, and external factors.
Smart Online Content
Gather, sort and classify the content (i.e. the actual displayed text and images) of millions of products.
Smart Orders
Creating optimal orders that meet local differentiated availability while being cost efficient and environmental friendly in the end-to-end supply chain.
People
The lab consists of a Professor, a Lab director, seven PhD’s, ten research assistants and a Software Engineering Support. Staff of the AIR Lab is working at the Innovation Center for Artificial Intelligence (ICAI), at Science Park Amsterdam and at the teams of the participating brands, for at least five years.
For more information: ICAI - AIRLab
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Discovery Lab
Discovery Lab is a collaboration between the Vrije Universiteit Amsterdam, the University of Amsterdam and Elsevier. The lab’s philosophy is to drive scientific discovery using machine intelligence. The researchers study and develop technology, infrastructure and methods to support the current transformation of science. They focus on data-driven activity, where scientists increasingly rely on intelligent tooling for searching and reading scientific literature, to formulate hypotheses, and to interpret data.
For more information: Website Discovery Lab
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Police Lab AI
The National Police Lab AI is a collaborative initiative of the Dutch Police, Utrecht University and the University of Amsterdam. They aim to develop state-of-the-art AI techniques to improve the safety in the Netherlands in a socially, legally and ethically responsible way.
The lab works 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. Aspects such as transparency, privacy and explainability are just as important as algorithmic aspects such as accuracy, computability and efficiency.
Locations and people
The Police Lab AI consists of two locations at the Utrecht Science Park and Amsterdam Science Park. In addition, the PhDs and Postdocs of the Police Lab AI also work part-time at the police innovation teams in Driebergen and Amsterdam.
For more information: ICAI - Police Lab AI
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QUVA
The mission of the 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. Research projects in the lab focus on learning to recognize objects in images from a single example, personalized event detection and summarization in video, and privacy preserving deep learning. The research is published in the best academic venues and secured in patents.
For more information: Website QUVA