790 search results for “multi-core machine” in the Public website
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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Correspondence article by Eduard Fosch-Villaronga in Nature Machine Intelligence
Robot technology is flourishing in multiple sectors of society, including retail, health care, industry and education. However, are robots representative towards minority groups of society, like LGBTQ+ people?
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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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Guillermo Guerrero Egido
Science
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Matt Young
Faculty Governance and Global Affairs
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Vince CROFT
Science
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Roozbeh Siyadatzadeh
Science
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Marjolein Fokkema
Faculteit der Sociale Wetenschappen
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Julian Steinke
Faculteit der Sociale Wetenschappen
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Fons Verbeek
Science
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Daniel Vale
Faculteit Rechtsgeleerdheid
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Felix Frohnert
Science
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Elise Dusseldorp
Faculteit der Sociale Wetenschappen
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Hongchang Shan
Science
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Dovile Rimkute
Faculty Governance and Global Affairs
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Julian Karch
Faculteit der Sociale Wetenschappen
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Michael Lew
Science
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Jan van Rijn
Science
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Bertram de Boer
Science
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Matthijs van Leeuwen
Science
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
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Nuno De Mesquita César de Sá
Science
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Evert van Nieuwenburg
Science
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Niki van Stein
Science
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Calculated Moves: Generating Air Combat Behaviour
By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft.
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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: Prof.dr. T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Yingjie Fan
Science
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Jian Wang
Science
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Vidi grant for Angus Mol: ‘Historical games are like time machines’
How do games help shape our perception of the past? Associate Professor Angus Mol receives a Vidi grant to answer this question.
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Babak Rezaeedaryakenari
Faculteit der Sociale Wetenschappen
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Novel analytical approaches to characterize particles in biopharmaceuticals
Particles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g. protein aggregates), or from extrinsic contaminations (e.g. cellulose fibers).
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Aske Plaat
Science
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Pingtao Ding
Science
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Thomas Bäck
Science
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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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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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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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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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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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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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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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English and Tigrinya machine translation
Lecture
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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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Holger Hoos in NRC about AI brain drain
Dutch newspaper NRC contacted four Dutch universities regarding the brain drain in the field of Artificial Intelligence (AI) that is going on in the Netherlands.
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the geopolitical fight between the USA and China about ASML's chip machines in Dutch newspaper 'NRC'
The article that was published on 21 January 2020 claims that chip maker ASML wants to be able to export to China but has been unable to obtain the necessary permits. Last summer, the application by the Dutch Ministry of Foreign Affairs (BZ) was suddenly frozen after pressure from the USA, according…
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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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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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Towards High Performance and Efficient Brain Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…