InterCoML Conference – NextGen Synergy: Control Theory & Machine Learning
We are proud to announce the inaugural conference of COST Action CA24136! The NextGen Synergy: Control Theory & Machine Learning conference aims to bridge the gap between Control Theory (CT) and Machine Learning (ML), two dynamic fields that are increasingly intersecting. A broad array of topics will be discussed, including but not limited to the following: Strengthening control-theoretical […]
We co-found a new COST Action on Control Theory and Machine Learning
We are proud to announce that our department is a co-founder of the recently launched COST Action CA24136: Interactions between Control Theory and Machine Learning (InterCoML). Securing this grant was a significant milestone, as the proposal was among the elite 8.3% of applications selected for funding. InterCoML aims to advance research at the intersection of […]
Best Junior Paper Award – 2025
Congratulations to our colleagues in the Best Junior Paper Award 2025 competition. 1st place was awarded to Marko Ruman for his paper „Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function“IEEE Access, vol. 12 (2024), pp. 177204–177218 3rd place was awarded to Antonie Brožová for her paper „Spatial-temporal source term estimation using […]
Seminar: Gaussian-process-based correction of bias in atmospheric inversion
Gaussian-process-based correction of bias in atmospheric inversion Accurate estimation of atmospheric release sources and their time profiles is essential for assessing the environmental impacts of incidents such as the emission of radionuclides from forest fires in Chernobyl in 2020 or the release of ruthenium in 2017, whose source has not been officially confirmed to this […]
Expert Meeting
A representative of our department attended an expert meeting on dual-use technologies held at the Ministry of Industry and Trade on 19 November 2025. The event brought together specialists to discuss prospects for dual-use applications within the National Research and Innovation Strategy for Smart Specialisation of the Czech Republic (National RIS3 Strategy).
Seminar: Towards secure Artificial Intelligence: Private distributed learning and strategic decision making
Towards secure Artificial Intelligence: Private distributed learning and strategic decision making Artificial intelligence faces security challenges at many levels, such as the exposure of sensitive data, the vulnerability of distributed learning systems, and the need to design robust policies under adversarial uncertainty, to name but a few. In this seminar, I will discuss two approaches […]
New website of Department of Adaptive Systems
NEW WEBSITE OF OUR DEPARTMENT! We are thrilled to unveil the new webpage for our department! This platform showcases our latest research, achievements, and upcoming events. We invite you to explore the site and share your feedback with us (as@utia.cas.cz). Your insights are invaluable as we strive to improve. Stay informed and connected with our […]
Seminar: Inverse modeling of atmospheric radioactivity releases
Seminar: Inverse modeling of atmospheric radioactivity releases Atmospheric radioactivity has been increasingly detected in recent years, raising concerns about the sources and possible health consequences, such as the Ru-106 detection in Europe in 2017 and Cs detection during 2020 Chernobyl fire. However, the release of atmospheric radioactivity can only be inversely estimated using remote environmental […]
AWARD OF THE CAS
AWARD OF THE CAS In 2024, the President of the Czech Academy of Sciences presented the Award of the CAS for outstanding results of great scientific significance were received by Ing. Miroslav Kárný, DrSc., nominated by the Institute of Information Theory and Automation of the CAS, for the scientific outcome General prescriptive theory of dynamic […]
BEST JUNIOR PAPER AWARD 2024
BEST JUNIOR PAPER AWARD 2024 3. place for Brožová Antonie, Šmídl Václav: Avoiding Undesirable Solutions of Deep Blind Image Deconvolution, Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024), p.559-566