Apart from a scientific semester programme CWI organizes mini-symposia, masterclasses, lectures with renowned speakers (like the Abel prize winners from 2022), hackathons and data challenges. Additionally, we organize and host other regular scientific meetings like reading groups, seminars, collaboration sessions and open-problem sessions. The format is flexible to meet the preferences of the participants.
Events
Find future and past events.
PhD Defence Sebastian Zur A&C / QuSoft
Multidimensional Quantum Walks and the Multiplicative Ladder Adversary. Promotor is Prof. S.M. Jeffery. The co-promotor is Dr K. Guo.
PhD Defence Niels Neumann A&C / QuSoft
Adaptive Quantum Computers. Decoding and state preparation. Promotors are Prof. H.M. Buhrman and Prof. F. Phillipson. The co-promotor is Dr J. Briët.
Truth is in the Eyes of the Machines - Symposium
This symposium is part of the Research Semester Programme on Misinformation Detection and Countering in the era of Large Language Models.
CWI Distinguished Lecture by Thomas Rothvoss
On Wednesday 14 May, Thomas Rothvoss (University of Washington) will give a CWI Distinguished lecture on "Integer programming from Lenstra to Kannan and Lovász and Beyond". This lecture is part of a one month sabbatical visit at CWI (1 May through 6 June), which was made possible with support from CWI's visiting researcher programme and the Networks & Optimization group.
PhD Defence Vladyslav Andriiashen (CI)
Data-driven X-ray image generation for industrial applications
Workshop on Modern Applications of Control Theory and Reinforcement Learning
Following our Spring School and workshop on Themes across Control and Reinforcement Learning, of the research semester programme on Control Theory and Reinforcement Learning, we have a workshop on Modern Applications of Control Theory and Reinforcement Learning.
Workshop: Information Disorder Network Netherlands - From mis-/disinformation to hate speech (and beyond)
This Research Semester Programme is part of Truth Is in the Eyes of the Machines. How do misinformation and hate speech fuel and influence each other? How can sustainable and FAIR data (Findable, Accessible, Interoperable and Reusable) be developed to independently investigate misinformation and hate speech? How robust are generative AI models at detecting and actively countering information disorders?
Van Dantzig Seminar
Nationwide series of lectures in statistics: speakers Wouter Koolen and Dragi Anevski
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