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
Jakub Mareček’s LION 19 keynote presents a framework for reasoning about repeated uses of AI systems and the new Interconnect toolkit for long-run properties therein.
For the second year in a row, our popular online course is open to the public. The 14-week course begins in September 2025 and is now also available to industry professionals seeking an EU microcertificate.
In a world increasingly shaped by algorithmic decisions, ensuring that artificial intelligence (AI) systems are explainable and trustworthy has never been more urgent. Dr. John Dorsch from CETE-P argues that we've been looking at this the wrong way.