902 search results for “deep learning” in the Public website
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Artificial Intelligence (MSc)
The master’s specialisation Artificial Intelligence offers future-oriented topics in computer science with a focus on machine learning, optimization algorithms, and decision support techniques.
- Kickstart your curiosity and learn about science at one of the many stands
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Katharina Riebel
Science
k.riebel@biology.leidenuniv.nl | +31 71 527 5149
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DEEPSEA SOUND: pioneer explorations into biological relevance and anthropogenic disturbance
Are there acoustic cues for settlement stage larvae in deep-sea soundscapes around hydrothermal vents?
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Research
The research at ICLON is organized within one research program. The overarching aim of this research program is to improve the quality of teaching-learning situations through a deep theoretical understanding of teaching and teacher learning.
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Robert Verpoorte
Science
verpoort@chem.leidenuniv.nl | +31 71 527 4528
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Researcher develops Google for archaeologists
An incredible quantity of archaeological reports are stored in digital archives. If you want to search for information in them, you have to do this manually. And that is a real chore. Archaeologist Alex Brandsen has now used deep learning, a form of artificial intelligence, to develop a search engine…
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EUREX: European Registry of Exonerations to learn from miscarriages of justice
The European Registry of Exonerations database provides an overview of miscarriages of justice in Europe with a view to preventing future errors.
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The role of expectancies and avoidance learning in the maintenance of somatic symptoms
Somatic symptoms, such as pain, itch, and fatigue have been shown to have a bidirectional relationship with mental symptoms. Although acute somatic symptoms serve some adaptive properties, chronic symptoms can instead lead to interference in daily activities and lower quality of life.
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Looking Beyond Our Similarities
How Perceived (In)Visible Dissimilarity Relates to Feelings of Inclusion at Work
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Learning from Foes: How Racially and Ethnically Motivated Violent Extremists Embrace and Mimic Islamic State’s Use of Emerging Technologies
This report concerns itself with terrorist technical innovation, particularly with regards to terrorists’ incorporation of emerging technologies into their practices. More specifically, it investigates, through the elaboration of a theoretical learning framework, how terrorist groups can adopt the practices…
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PNAS Paper Prize for quantum machine learning
‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…
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Florence Nightingale Colloquium
Here you can find the recordings of previous Florence Nightingale Colloquia.
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Faint Quasars at Very Low Frequencies
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?
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Two grants for LUMC on AI for precision diagnostics
Two AI research projects receive funding; one in the field of oncology and one in the field of cardiology.
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Learning from nature: using plant-soil feedback principles to improve growth and health of a horticultural crop
Plants and soils from natural ecosystems harbor great diversity of soil microorganisms, which could potentially contribute to the sustainability of horticulture. The knowledge about using wild plant species and soil from natural ecosystem to improve the crop health will advance the application of ecological…
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Characteristics and conditions of reflective dialogue in the context of Dutch primary school teachers that collaborate and work together
Reflective dialogue is an effective instrument for professional learning of teachers. This research considers the characteristics, development, stimulating and limiting conditions for reflective dialogues in the context of Dutch primary school teachers who collaborate and learn together. The goal is…
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Novel system-inspired model-based quantum machine learning algorithm for prediction and generation of High-Energy Physics data
Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.
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Dutch collaboration wins HPC Innovation Excellence Award for the first time
A Dutch collaboration, including the SURF Open Innovation Lab and Leiden Observatory, has won Hyperion Research's HPC Innovation Excellence Award. This is the first time that a Dutch team has won the award. The team received the award for improving large-scale numerical simulations with deep learnin…
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Digital Humanities
Learn new ways to analyse and study cultures and languages and provides insight into how digital methods and artificial intelligence (AI) are changing our personal lives and societies in the minor Digital Humanities and Artificial Intelligence.
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Still learning from the Ancient Greeks
There are still things we can learn from the Ancient Greeks. How they managed to make sure that innovations were accepted, for example. A group of classics scholars, led by Leiden, will be carrying out research on this question funded by the largest ever NWO subsidy.
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Biotransformation of plant metabolites in microorganisms
- How to deconvolute metabolic mixture of precursors and products by biontransformation? - How to optimize the reaction conditions to produce bioactive compounds in biotransformation? - What is the effect of co-treating fungi or bacteria for biotransformations?
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SRS seminar series: Deep history of violence and security
Seminar series
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Lifelong learning at university
From business administrator to engineer and from communication professional to agronomist. Whether you want to improve the world or your chances on the job market, you can continue to develop your skills at university throughout your life. Today, the universities of the Netherlands launched the new…
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Machine learning predicts preferences
Cláudio de Sá predicted the preferences of people using rankings. He adjusted ‘classical’ machine learning approaches, making them suitable for predicting preferences. His work can be applied in the prediction of election results. PhD defence on 16 December.
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About the programme
The process of doing ethnographic research enables you to develop the capacity to engage, analyse and report from a social science perspective.
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Elise Dusseldorp
Faculteit der Sociale Wetenschappen
elise.dusseldorp@fsw.leidenuniv.nl | +31 71 527 8046
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Guillermo Guerrero Egido
Science
g.guerrero.egido@biology.leidenuniv.nl | +31 71 527 4791
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Matt Young
Faculty Governance and Global Affairs
m.m.young@fgga.leidenuniv.nl | +31 70 800 9400
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Marjolein Fokkema
Faculteit der Sociale Wetenschappen
m.fokkema@fsw.leidenuniv.nl | +31 71 527 7996
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Vasilii Bokov
Science
v.bokov@liacs.leidenuniv.nl | +31 71 527 2727
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Alina Karakanta
Faculty of Humanities
a.karakanta@hum.leidenuniv.nl | +31 71 527 2978
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Jochanan Veerbeek
Faculteit der Sociale Wetenschappen
j.veerbeek@fsw.leidenuniv.nl | +31 71 527 3399
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Felix Frohnert
Science
f.frohnert@liacs.leidenuniv.nl | +31 71 527 2727
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Ilse van de Groep
Faculteit der Sociale Wetenschappen
i.h.van.de.groep@fsw.leidenuniv.nl | +31 71 527 2727
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Roozbeh Siyadatzadeh
Science
s.r.siyadatzadeh@liacs.leidenuniv.nl | +31 71 527 4799
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Ruchella Kock
Faculteit der Sociale Wetenschappen
r.m.d.kock@fsw.leidenuniv.nl | +31 71 527 2727
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Steven Miletic
Faculteit der Sociale Wetenschappen
s.miletic@fsw.leidenuniv.nl | +31 71 527 2727
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Franz Wurm
Faculteit der Sociale Wetenschappen
f.r.wurm@fsw.leidenuniv.nl | +31 71 527 2727
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Daniel Vale
Faculteit Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | +31 71 527 8838
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Wilma Resing
Faculteit der Sociale Wetenschappen
resing@fsw.leidenuniv.nl | +31 71 527 2727
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Jan van Rijn
Science
j.n.van.rijn@liacs.leidenuniv.nl | +31 71 527 7492
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Dovile Rimkute
Faculty Governance and Global Affairs
d.rimkute@fgga.leidenuniv.nl | +31 70 800 9067
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Neeltje van den Bedem
Faculteit der Sociale Wetenschappen
n.p.van.den.bedem@fsw.leidenuniv.nl | +31 71 527 2727
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Anna van Duijvenvoorde
Faculteit der Sociale Wetenschappen
a.c.k.van.duijvenvoorde@fsw.leidenuniv.nl | +31 71 527 3853
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Hongchang Shan
Science
h.shan@liacs.leidenuniv.nl | +31 71 527 7491
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Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Mert Yazan
Science
m.yazan@liacs.leidenuniv.nl | +31 71 527 2727
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Working for SAILS
Leiden University's interdisciplinary research programme SAILS funds young interdisciplinary scientists working at the intersection of AI and other fields. How do these researchers experience the work?
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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.