Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.

This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

PhD defence

PhD defence

Thanks to deep learning, computer program AlphaZero plays better chess than the best person. The computer wins because it can predict further ahead than a human being through pattern recognition. Aske Plaat discusses this special development in Dutch newspaper NRC. He expects the major tech companies…

How did Google’s computer programme AlphaGo become so good at board game Go that it could defeat the world champion? On June 29, developer Aja Huang will speak about this during a lecture in the Gorlaeus building.

How did Google's computer programme AlphaGo become so powerful? On June 29, developer Aja Huang elaborated on this during a lecture in the Gorlaeus building.

How Perceived (In)Visible Dissimilarity Relates to Feelings of Inclusion at Work

PhD defence

In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…

Lecture

In this thesis, we use low-frequency and high-frequency radio observations to address the following questions regarding quasars: is the radio loud/quiet quasar dichotomy real?

The goal of the LIACS Media Lab (LML) at Leiden University is to conduct state-of-the-art research in the areas of deep learning, artificial intelligence and computer vision.

Environmental Humanities LU Talk

Supercomputer ALICE has been expanded, making it even more powerful and faster. This means researchers and students can work with heavier models. From language research to brain activity scans, this expansion is good news for a variety of disciplines. So who gets to work with this prima donna?

Lecture

This thesis utilises the exceptional sensitivity and resolution of LOFAR to explore the low-frequency Universe, while simultaneously advancing the telescope's capabilities to enable new scientific discovery.

The results of the investigations by citizens are used in an innovative research project that investigates the potential of machine learning and automated detection in archaeology.

PhD defence

PhD defence

PhD defence

PhD defence

PhD defence

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

You can do a degree in Artificial Intelligence at Leiden University, but its role is also increasing in other degree programmes.

On the basis of the characteristic aspects of a picture, certain computers can tell us what the picture is showing. They can learn this in the same way that young children are able to learn to recognize images. Further improving these techniques opens the way to a whole range of new applications. Biology…

Developing new drugs is a difficult process. With the aid of artificial intelligence, Pharmaceutical scientist Xuhan Liu has developed methods that can help make drug design cheaper and faster. PhD defence on 15 February.

The Faculty of Archaeology

Science begets technology but technology also begets science. Anne Urai from the Leiden Institute of Psychology is part of an international team team that rolls out a new, user-friendly, plug-and-play AI tool they hope will become an engine of discovery by quantifying the growing volume of recorded…

The chaotic years after the Civil War are often seen as a time of uniquely American idealism—a revolutionary attempt to rebuild the nation that paved the way for the civil rights movement of the twentieth century. But Adam Fairclough rejects this prevailing view, challenging prominent historians such…

Agricultural foods naturally vary in their detailed internal structure. To facilitate early detection of health hazards due to contamination or disease, predict maturity and minimize wastage, it is critical to take into account the internal characteristics of each individual product, as these enable…

The AI Humanities Lab in Huizinga 0.09c is an innovative space where researchers explore the intersection of Artificial Intelligence and the Humanities. 

In this course, you will gain a deep insight into the rules that govern armed conflict, and aim to mitigate human suffering on the battlefield. You will explore the why and how of International Humanitarian Law, followed by the different types of conflict.

FAIR-ASSESS is supported by a scientific committee comprising internal members connected to Leiden University and external members from outside the university with expertise in the field.

Wouter Verschoof-van der Vaart has developed a way to use Deep Learning and geography software to rapidly and systematically map prehistoric barrows, Celtic fields, and medieval charcoal kilns. This innovative method has been tested on high-resolution elevation maps from the Veluwe, the Netherlands.…

Workshop Series

Workshop

Workshop

Workshop

Workshop

Workshop

In this thesis, we examine various systems through the lens of several numerical methods.

The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.