Institute of Information Theory and Automation
The Czech Academy of Sciences
We conduct basic and applied research and educate in Artificial Intelligence, Signal and Image Processing, Systems Science and Applied Mathematics.
Artificial
Intelligence
Artificial Intelligence is a transformative field focused on developing algorithms and models that enable machines to perform tasks typically requiring human intelligence. We integrate AI into all research areas pursued within the Institute, specializing in machine learning, natural language processing, knowledge representation, econometrics, and computer vision.
Signal and Image Processing
Signal and Image Processing is a field that focuses on the analysis, transformation, and interpretation of signals and images to extract meaningful information. We are engaged namely in texture analysis, image restoration, blind deconvolution, superresolution, and video tracking, and we also transfer the developed algorithms to embedded devices.
System
Science
Systems Science is an interdisciplinary field that studies complex, dynamic and adaptive systems, their behavior, and the principles governing their structure, functioning, and evolution. It provides a holistic framework for understanding how different components within a system interact to produce the system's overall behavior.
News
4/27-30/2026 Conference NextGen Synergy: Control Theory & Machine Learning
11/03/2026Join us for the Control Theory & Machine Learning conference in Prague! Department of Adaptive Systems at UTIA CAS, invites you to the COST Action CA24136 Conference NextGen Synergy: Control Theory & Machine Learning on April 27–30, 2026 in Prague, CZ. In partnership with PEF CZU, this conference will provide a platform for experts to present recent advancements and discuss emerging trends at the intersection of control theory and machine learning.
Read moreWe are co-founder of the COST Action Interactions between Control Theory and Machine Learning
27/02/2026We are proud to announce that Department of Adaptive Systems 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 control theory and machine learning by fostering structured collaboration between academic institutions and industrial partners across Europe. The initiative will support the development of new theoretical foundations, methodologies, and applications in these rapidly evolving fields.
Read moreÚTIA joins the MSCA Doctoral Network EXPLORA
18/02/2026The Institute of Information Theory and Automation (ÚTIA) of the Czech Academy of Sciences has joined the newly launched European project EXPLORA, funded under the Marie Skłodowska-Curie Actions Doctoral Networks scheme. EXPLORA focuses on understanding how humans actively explore materials, objects and space, and how perceptual experience is shaped through dynamic interaction with the environment. The project brings together research from science, engineering, design and the arts, aiming to improve models of perception and to support the development of multisensory and interactive technologies.
Read more2/11-16/2026 Research Visit of Dr. Eddie Gerba from the Bank of England
09/02/2026From 11 to 16 February 2026, we will welcome Dr. Eddie Gerba, Head of PRA Research at the Bank of England, to the Institute of Information Theory and Automation of the Czech Academy of Sciences (UTIA). During his visit, he will continue his collaboration with Prof. Jozef Baruník on their ongoing research project.
Read more2/2-6/2026 Winter School of Image Processing – Mariánská 2026
29/01/2026From February 2 to 6, 2026, the traditional Winter School organized by the Department of Image Processing at UTIA will take place in Mariánská. The program will include expert lectures focused on image processing and artificial intelligence, as well as opportunities for professional discussion and informal meetings among colleagues.
Read more1/12/2026 AI for Doctoral Students
19/01/2026Under the auspices of the AV21 Strategy “AI: Artificial Intelligence for Science and Society”, a full-day training focused on the use of artificial intelligence in doctoral studies and research took place on 12 January 2026 during an off-site workshop of Silesian University in Opava.
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Welcome to UTIA
Let the director doc. RNDr. Jiřina Vejnarová, CSc.
give you a tour of the Institute (in Czech)
UTIA in the Strategy AV21
Hopes and risks of the digital age: prof. Ing. Jan Flusser, DrSc. presents a large-scale successful project, through which the Institute joined the AV21 Strategy programme (in Czech)





