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
From snowy fields to dense forests, this year’s ECMR workshop and competition will tackle SLAM where GPS fails, sensors struggle, and resilience matters most.
The European project Tuples, which includes researchers from the Faculty of Electrical Engineering at the Czech Technical University, is developing trustworthy artificial intelligence for decision-making. The system is already smartly planning waste collection in cities.
Competing against more than 90 universities from around the world, the team secured second place in the Defenders category—earning a $100,000 prize for their AI model’s security and robustness.