1,297 search results for “deep learning” in the Public website
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Developing drugs with artificial intelligence
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.
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Deep Hanging Out in the Age of the Digital; Contemporary Ways of Doing Online and Offline Ethnography
A brief review essay on some of the work that has been recently published in the emergent field of digital ethnography.
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Yolinde van Paridon
Faculteit der Sociale Wetenschappen
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Deep Learning for Beginners: How to Make a Computer Think like a Human
Workshop Series
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Deep Learning for Beginners: How to Make a Computer Think like a Human
Workshop
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Deep Learning for Beginners: How to Make a Computer Think like a Human
Workshop
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Deep Learning for Beginners: How to Make a Computer Think like a Human
Workshop
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Deep Learning for Beginners: How to Make a Computer Think like a Human
Workshop
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Deep Learning for Beginners: How to Make a Computer Think like a Human
Workshop
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Machine Learning and Deep Learning Approaches for Multivariate Time Series Prediction and Anomaly Detection
PhD defence
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Skin Deep? Reading the Surfaces of the Body in Ancient Greek Literature and Science
The skin has recently gained attention within body studies for its many specific cultural and social associations, in addition to its biology. This project aims to examine the different layers of meaning and the functions invested in the skin in ancient Greece: how did ancient Greek literary and medical…
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Employing Artificial Intelligence in the search for archaeological remains
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.…
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LUCDH Lunchtime Speaker Series: Testing linguistic theories with deep learning: a case study on meaning predictability
Lecture
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Teachers’ professional learning preferences
How do secondary school teachers’ professional learning preferences relate to teaching experience and the school context?
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Aske Plaat and Catholijn Jonker at BNR De Nieuwe Wereld
In the BNR Newsradioprogram De Nieuwe Wereld, professors Aske Plaat (Data Science) and Catholijn Jonker (Explainable AI) of the computer science institute of Leiden University discuss about decisions made by computers. From self-driving cars to intelligent soap pumps: should we be able to follow the…
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Learning assessment in online higher education
The main interest of this project concerns learners’ perceived learning outcomes in massive open online courses and the factors related to their perceived learning outcomes.
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Deep Learning For Automated Analysis Of Cardiac Imaging: Applications In Cine And 4D Flow MRI
PhD defence
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Learning labs in conservatoire education
Music profession requires strong reflective, collaborative, creative and improvisational skills, yet prevailing one-to-one tuition in conservatoire education focuses mainly on transmission of craft skills. Examining effects of students' collaborative and experiential learning, as in learning labs, creates…
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Ghost in the machine: the deep features of Yanming Guo
In the 1960s at MIT, cognitive scientist Marvin Minsky told a couple of graduate students to program a computer to perform the simple task of recognising objects in pictures, thinking it would be a nice summer project. Scientists from Leiden and the rest of the world are still working on it today.
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Monsters in the Deep: Using simulations to understand the excess baryonic mass in the centres of high-mass, early-type galaxies
This thesis aims to enhance our understanding of galaxies by testing theoretical models of galaxy formation against observations, particularly in the cases of extreme systems which have been found to have an excess of baryonic mass in their central regions, in the form of either supermassive black holes…
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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LIACS Media Lab (LML)
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.
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Nonverbal Learning Disorder (NLD)
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Automated detection
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.
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Sleep and learning in children
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Collaborative learning in higher education: design, implementation and evaluation of group learning activities
The aim of this study was to provide insight into how teachers in higher education can be supported in the design, implementation and evaluation of group assignments by developing a theoretical and evidence-based framework for the design of group assignments.
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Andreas Paraskeva
Science
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Andreas Sauter
Science
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Education
You can do a degree in Artificial Intelligence at Leiden University, but its role is also increasing in other degree programmes.
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Collaborative learning in conservatoire education: catalyst for innovation
The aim of this research project was to increase understanding of which collaborative learning approaches already exist in conservatoire education, and how implementation of collaborative learning could be supported.
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Increased striatal activity in adolescence benefits learning
Heightened activation of the striatum that adolescents show in response to reward is often associated with risk-taking and negative health consequences. This article in Nature Communications investigates a potential positive side of this heightened activation. It shows that the activity peak in late…
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Professional learning: what teachers want to learn
The aim of this thesis was to examine what teachers want to learn themselves. The main research question was: what, how and why teachers want to learn? And does this depend on their years of teaching experience and the school at which they work?
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Gazing into deep space
Bernhard Brandl, the new Leiden Professor of Infrared Astronomy, is developing instruments for the world’s largest telescopes. These telescopes can be used to observe objects in space that are more than 13 billion years old. Brandl will deliver his inaugural lecture on 26 September.
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Kim Stroet
Faculteit der Sociale Wetenschappen
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Siuman Chung
Faculteit der Sociale Wetenschappen
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Christine Espin
Faculteit der Sociale Wetenschappen
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Elise Swart
Faculteit der Sociale Wetenschappen
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Marit Guda
Faculteit der Sociale Wetenschappen
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Blended learning
The programme is also offered in a blended learning version: this is a combination of distance learning and face-to-face learning. Read more information
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How deep is a mirror?
Light reflects from a mirror, but where exactly does this reflection happen? Well, it depends, Martin van Exter and Corné Koks discovered. Their precise calculations, published in Optics Express, are important for designing optical cavities for quantum communication.
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Deep sea research with microphone
‘Even at the deepest point in the ocean you can still hear the noise from boats,' says biologist Hans Slabbekoorn. ‘And that's while sound is the most important means of communication for underwater life.' What is the effect of all that underwater noise on fish and other animals? Slabbekoorn is on board…
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Learning tools
It is our goal to deliver a convenient, enjoyable, learning experience that goes beyond the basics. All of the apps are an initiative of the HANDS! Lab for Sign Languages and Deaf Studies at Leiden University, as part of the Language Socialization in Deaf Families project funded by the Leiden University…
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Vision and Imaging
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…
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Self-directed learning with mobile technology in higher education
Language learners in higher education increasingly conduct out-of-class self-directed learning facilitated by mobile technology. This project aims to explore how university students use mobile technology for their self-directed language learning and investigate factors that influence their self-directed…
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Collaborative learning in teacher education: Intended, implemented and experienced curriculum
How is collaborative learning in teacher education designed and implemented? How do students experience those collaborative learning assignments? What aspects of the design and the implementation lead to which perceived learning outcomes?
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Student engagement in blended learning in higher education
In what way can teachers support and enlarge student engagement in a blended learning context?
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Archaeology
The Faculty of Archaeology
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University teachers’ learning paths during technological innovation of education
To what extent are university teachers' individual learning paths influenced by their teaching experience, motivation, and conceptions of teaching and learning through educational technology?
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Nurbolat Kenbayev
Science