751 search results for “machine” in the Public website
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Roozbeh SiyadatzadehFaculty of Science
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Hongchang ShanFaculty of Science
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Julian KarchSocial & Behavioural Sciences
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Julian SteinkeSocial & Behavioural Sciences
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Mert YazanFaculty of Science
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Matt YoungFaculty of Governance and Global Affairs
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Michael LewFaculty of Science
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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Our facilities
In support of the research and education, the Leiden Institute of Advanced Computer Science (LIACS) has a Research and Education laboratory at its disposal. Within this environment, we can offer machines that go beyond normal office automisation and production.
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Matthijs van LeeuwenFaculty of Science
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Tom WilderjansSocial & Behavioural Sciences
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Bertram de BoerFaculty of Science
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Nuno De Mesquita César de SáFaculty of Science
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Lifeng HanFaculty of Science
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AutoAI4EO
Advancing AutoML systems targeting machine learning tasks based on Earth Observation (EO) Datasets.
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Webinars
On this page you will find a collection of presentations and videos of the Florence Nightingale Colloquia, seminars at the faculty and other event recordings hosted by the Data Science Research Programme.
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BNAIC/Benelearn conference big success
Reinforcement learning, agents and classification: these are just some of the topics researchers on Artificial Intelligence and Machine Learning discussed at the BNAIC/BeneLearn conference 2020. It was the first time Leiden University hosted the annually held Belgium Netherlands Artificial Intelligence…
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High-contrast spectroscopy of exoplanet atmospheres
More than 5,000 exoplanets have been found over the past couple of decades. These exoplanets show a tremendous diversity, ranging from scorching hot Jupiters, common super-Earths, to widely separated super-Jupiters on the planet/brown dwarf boundary.
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POST_SIGNATURE
To what extent is creative ownership in contemporary (graphic) design practices changing now that we are co-creating with machines? And can machines have copyrights, too?
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The Hybrid Intelligence Centre
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.…
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Discovering the preference hypervolume: an interactive model for real world computational co-creativity
In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.
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Vincent Croft-Faculty of Science
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Ruchella KockSocial & Behavioural Sciences
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Pascal chair 2023
Peter Flach is Professor of Artificial Intelligence at the University of Bristol. An internationally leading scholar in the evaluation and improvement of machine learning models using ROC analysis and calibration, he has also published on mining highly structured data, on knowledge-driven and explainable…
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Flagships
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.
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Socially Embedded AI Systems
This interdisciplinary research project explores several adaptive machine learning methods which can give insight into the interaction between human and machine. The ultimate goal is open and natural communication between humans and AI that should result in mutual trust, cooperation and coordination…
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Jan van RijnFaculty of Science
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Algorithms for quantum software
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,…
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Previous SAILS Workshops
SAILS likes to occasionally organise workshops about topics that relate to our programme. On this page you can find more information about previous workshops.
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HealthBox
The Metabolic syndrome affects over 5 million people in the Netherlands. The HealthBox is an initiative from LUMC and NeLL to provide an innovative solution to help prevent and manage this chronic condition.
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Guillermo GuerreroFaculty of Science
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Md Faysal TareqFaculty of Science
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Alina KarakantaFaculty of Humanities
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Florence Nightingale Colloquium
Here you can find the recordings of previous Florence Nightingale Colloquia.
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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Proteins in harmony: Tuning selectivity in early drug discovery
This thesis describes the importance of being able to control the selectivity of potential drug candidates.
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On the optimization of imaging pipelines
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…
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Reduction of single use coffee cups
The goal is to reduce single use coffee cup use both at the university cafés and cofee machines.
- Meet our staff
- Data Science & Artificial Intelligence
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Automated Design and Analysis of Algorithms
The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.
- Publications
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LTP Lecture Machine Learning in Science: Just a toy?
Lecture
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From pixels to patterns: AI-driven image analysis in multiple domains
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.
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Hunting for the fastest stars in the Milky Way
The high velocity tail of the total velocity distribution of stars provides essential insight into fundamental properties of the Galaxy.
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Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron, Co-Promotor: P. van der Putten
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Sparsity-Based Algorithms for Inverse Problems
Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…
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Not just a protein machine: How ribosomes regulate immune response
PhD defence
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Tessa Verhoef: 'An algorithm still has a lot to learn from human interaction'
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.
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Scientific computing for Drug Discovery in Python and/or R
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.