Since 2019 we foster artificial intelligence and machine learning research through a joint laboratory with Avast, the global leader in digital security.
Václav Šmídl
Research interests
- Bayesian system identification in general. More experience with (i) Bayesian factor analysis and linear dimensionality reduction, (ii) Generalized AutoRegressive models, (iii) Forgetting technique.
- Variational Bayes approximation in general.
- Stochastic control and approximation of dynamic programming.
Latest Projects
Research Results
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Latest news
The final round of the DARPA Subterranean Challenge brought our team CTU-CRAS-NORLAB 2nd place in the virtual competition. In the deployment of real robots in the MegaCavern complex in Kentucky, we finished 6th overall.
Our cybersecurity research project that aims to protect people at risk from targeted digital threats received third place in the Sustainable Development Goals (SDGs) Awards.
Advancements in digital technology are a keystone of our modern lives. However, these advancements do not come without risks to our security. With more devices connected to the internet and more devices per user, there is a major increase in the data being collected, transported, and stored.