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 Vladyslav Andriiashen (CI)
Data-driven X-ray image generation for industrial applications
Scientific Computing Seminar Anh Khoa Doan (TU/e)
Machine Learning Tools for Extreme Events Detection/Prediction in Turbulence
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?
Scientific Computing Seminar Jemima Tabeart (TU/e)
Inaugural Lecture and Seminar Jurjen Helmus
On 3 June Jurjen Helmus will deliver his inaugural lecture for the Industrial Digital Twins research group, titled: Future of Industry – Industry of the Future. Prior to the lecture, the research group is organizing an interactive seminar, where you can explore applications of industrial digital twins and related technologies. Additionally, the goal is to collaboratively develop a research agenda with all industrial partners that addresses the current challenges facing the sector.
Machine Learning Seminar Guido van de Ven (U Leuven)
A new direction for continual learning: ask not just where to go, also how to get there
Scientific Computing Seminar Ahmed Elgazzar
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