In CCLS several subgroups have formed, below you can find an overview of these groups with the names of the leading researchers and a short outline of the project.

Machine learning - on classical computers- has made great progress in the past five years. Computer translation of speech and text is just one example. In Leiden, some researchers expect that machine learning, empowered by quantum systems, even if they only contain a few dozen qubits, can lead to a…

SAILS likes to occasionally organise workshops about topics that relate to our programme. On this page you can find more information about previous workshops.

Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values.…

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

Empirical and experimental research focusing on literary, legal, medical and audiovisual translation.

The goal is to reduce single use coffee cup use both at the university cafés and cofee machines.

Europe falls behind China and the United States in the field of artificial intelligence (AI), which creates a brain drain for talented students and scientists. A high standard research institute for AI can turn the tide, claims initiator Holger Hoos, Professor of Machine Learning.

PhD defence

Here you can find the recordings of previous Florence Nightingale Colloquia.

Here you can find the recordings of previous Florence Nightingale Colloquia.

If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.

Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.

Lecture

Proving a quantum computer to be quicker than a normal one is one step closer. After a breakthrough in speeding up classical algorithms, researchers Vedran Dunjko and Casper Gyurik showed that only one quantum algorithm could beat its classical counterpart. They discuss their discovery in Quanta Mag…

Lecture, Anthropological & Descriptive Discussion Group

Hass

Promotor: Prof.dr. T.H.W. Bäck

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

Life Sciences Artificial Intelligence Data Science

Top scientists of three Dutch universities are working on software and systems for quantum computers. Researchers of the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION) are developing new algorithms to make those super computers work. The coming years,…

Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

Leiden Institute of Advanced Computer Science (LIACS)

Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.

Lecture

Lecture

The Leiden Computational Network Science Lab (CNS Lab) researches methods for knowledge discovery from real-world network data.

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

Did you know that algorithms can help with the prevention of air pollution and ships sinking in the sea? A team of Leiden University researchers have worked together with the Dutch Ministry of Infrastructure and Water Management to look in data-driven inspection of ships. In this interview, Gerrit Jan…

Read all papers and other types of publication created by the project.

The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…

The master's specialisation Bioinformatics at Leiden University focuses on research, development and application of computational tools and approaches for expanding the use of biological, medical, behavioral and health data.

The Ada Lovelace Distinguished Lecture Series brings outstanding computer scientists from around the world to Leiden University. The lecturers will share exciting ideas and results from the forefront of computer science.

PhD defence

In high school, Tim van Erven read about an artificially intelligent algorithm that could solve mazes. From that moment on, he was sold: ‘There’s something magical about algorithms. With a list of fixed rules you can make them learn the most diverse things.’ This year, he won a Vidi grant, which he…

Collecting data in sports increased in importance the last few years.

The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.

Quantum computing is a novel paradigm for computation, which is nearing real-world impact with the coming generation of limited, but nonetheless powerful quantum devices.

The recently promoted Hao Wang from the Leiden Institute of Advanced Computer Science teaches computer programmes how to solve real-world problems. His goal is to make the process of problem-solving more efficient. On 1 November, he obtained his doctorate with the predicate cum laude. ‘I hope to solve…

By making two final network connections and entering a command, Martijn Ridderbos (Deputy Chairman of the Executive Board) , Geert de Snoo (Dean of the Faculty of Science) and Bart Hoogervorst (Head of Department Operations ICT Shared Service Centre) ceremonially booted up the university’s latest supercomputer,…

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

At Leiden University, researchers from all disciplines work together to find answers and design innovations in the field of artificial intelligence.

This master’s programme combines Physics with Data Science. You will learn how physics has its own tricks to deal with big data and how techniques from machine learning and deep learning can be applied to classical and quantum data. The first focus of attention is on classical data, including data mining,…

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

By making smart use of available data, the health and care of people can be substantially improved. Marco Spruit wants to use language and machine learning in the coming years to identify and solve the biggest care issues in the region of The Hague. He has been appointed Professor of Advanced Data Science…

Lecture

Conference