1,147 search results for “artifical intelligence” in the Public website
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Solving problems in your head and in the world
Until recently, the role of external information processing in intelligence has rarely been investigated quantitatively or experimentally. A group of researchers from Erasmus University Rotterdam, Leiden University, GGZ Rivierduinen, and University of Edinburgh measured in a new way how and when people…
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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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Bart Custers presents at law and AI research in Tokyo
On 22 December 2018, Dr. Bart Custers, Associate Professor and Head of Research at eLaw, Center for Law and Digital technologies, presented research results of the e-SIDES project at the Artificial Intelligence and Cloud Computing Conference (AICCC 2018) in Tokyo, Japan. His presentation dealt with…
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Using smartphone behaviour to understand healthy ageing and neurological disease
Leiden University researchers and their collaborators report the development of new research frameworks that use day-to-day smartphone behavior gathered from a large sample of healthy people to help understand aging, and how aging alters with epilepsy and stroke. These reports occupy two back-to-back…
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Contact
Do you have any questions about the minor Intelligence Studies? Please contact us!
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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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Tycho de Graaf
Faculteit Rechtsgeleerdheid
t.j.de.graaf@law.leidenuniv.nl | +31 71 527 4989
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Elise Dusseldorp
Faculteit der Sociale Wetenschappen
elise.dusseldorp@fsw.leidenuniv.nl | +31 71 527 8046
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Bram Klievink
Faculty Governance and Global Affairs
a.j.klievink@fgga.leidenuniv.nl | +31 70 800 9486
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Yumeng Wang
Science
y.wang@liacs.leidenuniv.nl | +31 71 527 2727
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Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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Marjolein Fokkema
Faculteit der Sociale Wetenschappen
m.fokkema@fsw.leidenuniv.nl | +31 71 527 7996
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Weiyan Low
Faculteit der Sociale Wetenschappen
w.low@fsw.leidenuniv.nl | +31 71 527 2727
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Milco Wansleeben
Faculteit Archeologie
m.wansleeben@arch.leidenuniv.nl | +31 71 527 2930
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Quentin Bourgeois
Faculteit Archeologie
q.p.j.bourgeois@arch.leidenuniv.nl | +31 71 527 2453
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Daphne Wong-A-Foe
Faculteit der Sociale Wetenschappen
d.l.wong-a-foe@fsw.leidenuniv.nl | +31 71 527 2727
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Cor Veenman
Science
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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Masha Medvedeva
Faculteit Rechtsgeleerdheid
m.medvedeva@law.leidenuniv.nl | +31 71 527 2727
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Roeland Merks
Science
merksrmh@math.leidenuniv.nl | +31 71 527 7106
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Ramira van der Meulen
Science
a.van.der.meulen@liacs.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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Michael Lew
Science
m.s.lew@liacs.leidenuniv.nl | +31 71 527 7034
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Hongchang Shan
Science
h.shan@liacs.leidenuniv.nl | +31 71 527 7491
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Mert Yazan
Science
m.yazan@liacs.leidenuniv.nl | +31 71 527 2727
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Fons Verbeek
Science
f.j.verbeek@liacs.leidenuniv.nl | +31 71 527 5773
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Madalina Busuioc
Faculty Governance and Global Affairs
e.m.busuioc@fgga.leidenuniv.nl | +31 70 800 9400
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Jaap van den Herik
Faculteit Rechtsgeleerdheid
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Serge Rombouts
Faculteit der Sociale Wetenschappen
romboutssarb@fsw.leidenuniv.nl | +31 71 526 9111
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Thijs Brocades Zaalberg
Faculty of Humanities
t.w.brocades.zaalberg@hum.leidenuniv.nl | +31 71 527 2770
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Anthe Janssen
Science
a.p.a.janssen@lic.leidenuniv.nl | +31 71 527 4362
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Joost Batenburg
Science
k.j.batenburg@liacs.leidenuniv.nl | +31 71 527 6985
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Tessa Verhoef
Science
t.verhoef@liacs.leidenuniv.nl | +31 71 527 7903
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Hermen Overkleeft
Science
h.s.overkleeft@chem.leidenuniv.nl | +31 71 527 5037
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Sebastian Fajardo Bernal
Science
s.d.fajardo.bernal@liacs.leidenuniv.nl | +31 71 527 2727
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Jan van Rijn
Science
j.n.van.rijn@liacs.leidenuniv.nl | +31 71 527 2727
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Grant for Elastix medical imaging software
LUMC researcher Marius Staring will receive a $ 200,000 grant from the Chan Zuckerberg Initiative to improve the accessibility, interoperability and efficiency of the Elastix imaging software. This will give the popular 2003 software package a much-needed new impulse.
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Reijer Passchier to teach course in the nationwide AI course Ethics
This course in ethics is a continuation of the popular Nationale AI-Cursus from 2018. In which over 300,000 people have since participated.
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Free symposium reveals surprising uses of AI
Artificial Intelligence (AI) can help humans in many different ways: from customised medicine and self-driving cars to preserving our cultural heritage. On 4 April academics from Leiden will talk about the achievements and opportunities of AI. A research dossier on AI is also online now, which looks…
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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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Data Science
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.
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Contact
Do you have any questions about the minor Artificial Intelligence and Society? Please contact us!
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First SAILS Symposium 'The future of AI is human': a photo impression
On October 14, the first symposium of the university-wide initiative SAILS took place. Scientists from Leiden University and other Dutch universities came together to share their enthusiasm and expertise in the field of Artificial Intelligence in a festive symposium, in the atmospheric Museum of Eth…
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About the programme
The two-year Artificial Intelligence programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.
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Programme structure
This programme is aimed at students who have a strong interest in programming and computer science, as well as an interest in the cognitive psychology and artificial intelligence.
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Media & interaction
Media & interaction is where artificial intelligence and machine learning meet philosophy, cognitive science, and the creative arts. Examples of research questions in this domain are: 'Can an algorithm be creative by human standards?', 'Can creative processes, such as composing music or writing poetry,…
- Public lecture "From Collective Intelligence to Artificial Intelligence and Back Again"
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From filter bubbles to sex care robots: come to the online talk show ‘The Future of AI is Human’
How does it feel to be spied on by robots? Did you know that they too discriminate? Our entanglement with technology makes life easier, but there’s a downside too. Artists and researchers will show all aspects of this in the SAILS online talk show The Future of AI is Human. Join in on Tuesday 15 December…
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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…
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…