Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentie
Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentie
5 Projects, page 1 of 1
assignment_turned_in Project2024 - 2025Partners:Radboud Universiteit Nijmegen, Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentieRadboud Universiteit Nijmegen,Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentieFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: NGF.1609.23.014Physicists have discovered new ways to store information in magnetic fields, allowing for representing and adjusting bits (0/1) at ultra-high speeds with ultra-low energy costs. However, at this microscopic level, it is difficult to manipulate bits without potentially disturbing neighbouring bits, for example due to quantum effects. In this proposal we investigate how this so-called stochastic covariance can be used to make more (energy-) efficient algorithms. We focus at Markov chain Monte Carlo algorithms that quickly explore a state space. This technique is often used in intensive computing simulations like climate change modelling that we want to make more efficient.
more_vert assignment_turned_in ProjectFrom 2025Partners:Universiteit Utrecht, Faculteit Bètawetenschappen, Departement Informatica, Intelligent Systems, Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Institute for Computing and Information Sciences (ICIS), Digital Security (DiS) Group, Radboud Universiteit Nijmegen, Donders Institute - Donders Institute for Brain, Cognition and Behaviour, Radboud Universiteit Nijmegen, Faculteit der Rechtsgeleerdheid, Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentie +1 partnersUniversiteit Utrecht, Faculteit Bètawetenschappen, Departement Informatica, Intelligent Systems,Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Institute for Computing and Information Sciences (ICIS), Digital Security (DiS) Group,Radboud Universiteit Nijmegen, Donders Institute - Donders Institute for Brain, Cognition and Behaviour,Radboud Universiteit Nijmegen, Faculteit der Rechtsgeleerdheid,Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentie,TNOFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: NGF.23.1608.003AI technology in healthcare can assist with diagnosis, development of a personalised treatment plan, and adequate follow-up. In contrast to, for example, building an MRI scanner, the development and inner working of AI technology is substantially less well documented. Doctors and patients can therefor not trust the technology at a comparable level as the MRI scanner. In this ELSA lab we study the technological, legal, and clinical-ethical aspects of AI technology that is certified to be used responsibly.
more_vert assignment_turned_in Project2023 - 9999Partners:Radboud Universiteit Nijmegen, Technische Universiteit Eindhoven - Eindhoven University of Technology, Maastricht University, Faculty of Health, Medicine and Life Sciences, Radboud universitair medisch centrum, Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica +12 partnersRadboud Universiteit Nijmegen,Technische Universiteit Eindhoven - Eindhoven University of Technology,Maastricht University, Faculty of Health, Medicine and Life Sciences,Radboud universitair medisch centrum,Radboud Universiteit Nijmegen, Faculteit der Natuurwetenschappen, Wiskunde en Informatica,VU,Vrije Universiteit Amsterdam,Radboud Universiteit Nijmegen,Universiteit Utrecht, Faculteit Bètawetenschappen, Wiskunde en Informatica, Instituut voor Informatica en Informatiekunde,Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentie,Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Radboud University Nijmegen,Universiteit Utrecht,Maastricht University,Maastricht University,Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen,Radboud universitair medisch centrum,Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Afdeling Informatica (Computer Science)Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: P21-03-
more_vert assignment_turned_in Project2024 - 2024Partners:Radboud Universiteit Nijmegen, Radboud Universiteit Nijmegen, Donders Institute - Donders Institute for Brain, Cognition and Behaviour, Centre for Brain, Cognition and Behaviour, Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentieRadboud Universiteit Nijmegen,Radboud Universiteit Nijmegen, Donders Institute - Donders Institute for Brain, Cognition and Behaviour, Centre for Brain, Cognition and Behaviour,Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentieFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 21400The International Conference on Probabilistic Graphical Models (PGM) is a biennial meeting that brings together international researchers interested in all aspects of mathematical AI models for probabilistic reasoning, decision making, and learning. PGM 2024 is the twelfth edition of this conference. It will take place in Nijmegen between the 11th and the 13th of September 2024.
more_vert assignment_turned_in ProjectPartners:Universiteit Twente, Faculty of Behavioural, Management and Social sciences (BMS), Department of Philosophy, HvA, Universiteit van Amsterdam, Kohnstamm Instituut, Universitair Medisch Centrum Utrecht, Julius Centrum, Universitair Medisch Centrum Utrecht +29 partnersUniversiteit Twente, Faculty of Behavioural, Management and Social sciences (BMS), Department of Philosophy,HvA,Universiteit van Amsterdam, Kohnstamm Instituut,Universitair Medisch Centrum Utrecht, Julius Centrum,Universitair Medisch Centrum Utrecht,Technische Universiteit Delft, Faculteit Elektrotechniek, Wiskunde en Informatica, Software Technology,Erasmus Universiteit Rotterdam, International Institute of Social Studies (ISS),Technische Universiteit Delft, Faculteit Techniek, Bestuur en Management (TBM), Values, Technology and Innovation,Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit - Department of Industrial Engineering & Innovation Sciences, Information Systems (IS),Rijksuniversiteit Groningen, Campus Fryslân, Governance and Innovation,Radboud Universiteit Nijmegen,Technische Universiteit Eindhoven - Eindhoven University of Technology,Universiteit Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Datamanagement & Biometrics (DMB),Universiteit van Amsterdam, Faculteit Economie en Bedrijfskunde, Amsterdam Business School,Universiteit Utrecht, Faculteit Bètawetenschappen,Universiteit Utrecht, Faculteit Bètawetenschappen, Departement Informatica, Intelligent Systems,Universiteit Twente, Faculty of Behavioural, Management and Social sciences (BMS), Cognitive Psychology & Ergonomics,Universiteit Utrecht,Rijksuniversiteit Groningen, Faculteit der Letteren, Internationale Betrekkingen en Internationale Organisatie,Universiteit Utrecht, Faculteit Sociale Wetenschappen, Departement Maatschappijwetenschappen, Methoden en Statistiek,Erasmus Universiteit Rotterdam, Erasmus School of History, Culture and Communication ESHCC, Media en Communicatie,Technische Universiteit Delft, Faculteit Elektrotechniek, Wiskunde en Informatica, Software Technology, Algorithmics,Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit - Department of Industrial Engineering & Innovation Sciences,Universiteit Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Computer Science, Services and CyberSecurity (SCS),Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Behavioural Science Institute - BSI,Universiteit Utrecht, Faculteit Bètawetenschappen, Departement Informatica, Research Institute for Information and Computing Sciences,Wageningen University & Research, Afdeling Agrotechnologie & Voedingswetenschappen, Humane Voeding en Gezondheid,Universiteit Twente, Faculty of Behavioural, Management and Social sciences (BMS),Saxion,Waag | technology & society,Universitair Medisch Centrum Utrecht, Julius Centrum, Huisartsgeneeskunde,Radboud Universiteit Nijmegen, Faculteit der Sociale Wetenschappen, Artificiële intelligentie,Universiteit Twente, Faculty of Behavioural, Management and Social sciences (BMS), Department of Learning, Data analytics and Technology (LDT), Instructional Technology (IST),Jheronimus Academy of Data ScienceFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: NWA.1766.24.031Citizens are increasingly confronted with decisions made about them by AI-systems in, e.g., healthcare and government services. Often without the AI-system being able to explain that decision. The DECIDE project wants to change this. Scientists from various disciplines, such as computer science, philosophy, ethics, psychology, law, public administration and business sciences together with citizens, are developing a new generation of more transparent and democratic AI systems. This gives citizens more control over decisions affecting their lives. We also develop new AI-systems as intelligence-enhancing-technology for use by citizens. This will ensure that AI contributes to a fair transformation of society.
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