Institute of Information Theory and Automation

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Department: ZOI Duration: 2024 - 2026 Grantor: GACR
Current convolutional networks work with inefficient pixel-wise image representation, which does not provide almost any invariance. This leads to using very large training sets and massive augmentation.
Department: ZS Duration: 2023 - 2026 Grantor: FG
The main aim of the EECONE project is to reduce e-waste on a European scale. The environmental impact arising from e-waste can thus be reduced by working in three principal areas: 1) Increase service lifetime of electronic products by application of ecodesign guidelines for increasing their reliability and their repair rate, thereby reducing the volume of e-waste.
Department: ZOI Duration: 2023 - 2024 Grantor:
This interdisciplinary scientific project aims to examine the creative context of one of Leonardo's most reproduced subjects: the Salvator Mundi.
Department: ZS Duration: 2023 - 2026 Grantor: FG
The European research project Listen2Future started with 27 partners from 7 countries.
Department: E Duration: 2023 - 2025 Grantor: GACR
Decentralized finance has been often synonymized with cryptocurrencies, cryptoassets, or even simply with Bitcoin not only in the public perception but to a high degree also in financial research. This project aims to dive deeper into decentralized finance and in a comprehensive manner explore and describe its structural aspects.
Department: ZS Duration: 2022 - 2025 Grantor: FG
Project HiPE brings together 13 participants covering the whole value chain, to develop a new highly energy-efficient, cost-effective, modular, compact and integrated wide bandgap (WBG) power electronics solutions for the next generation of battery electric vehicles (BEV), and to facilitate a significant market penetration of WBG in the automotive sector.
Department: ZOI Duration: 2022 - 2025 Grantor: FG
At a time of cloud computing and cyber-physical systems like computer-assisted driving, software complexity is growing faster than the rate of improvement in related quality assurance techniques. The ERC-funded VAMOS project will develop monitoring software to identify potential vulnerabilities, errors, and unfair decisions at runtime.
Department: AS Duration: 2022 - 2026 Grantor: FG
The aim of the project is to promote understanding of complex interactions and the dynamics of decision making (DM) under complexity and uncertainty. The theory under consideration should be applicable to dynamic DM and interaction within a flat structure without any coordination. It will support modelling a living agent acting within a complex network of interacting heterogeneous agents.
Department: SI Duration: 2022 - 2024 Grantor: GACR
The project deals with the development of active fault diagnosis (AFD) algorithms for stochastic discrete-time large-scale systems. To achieve the feasibility of the algorithms, tensor decompositions (TDs) will be employed in several components of the AFD algorithm design.
Department: ZOI Duration: 2022 - 2025 Grantor: TACR
The project addresses AI forensic data mining - a new SW platform for detecting objects of interest based on complex spatio-temporal relationships with object attributes and indexed relationships. It will enable AI training directly in the forensic environment using semi-automatic and weakly supervised learning.The lack and accessibility of training data will be considered.
Department: RO Duration: 2022 - 2024 Grantor: GACR
Real-world comprises thousands of materials having different surface appearances.
Department: SI Duration: 2022 - 2024 Grantor: GACR
We shall study and develop aggregations of two or more research methodologies, optimal with respect to the observed data, in order to reach the most accurate conclusion. The task is also to aggregate adequately several available datasets. We shall follow mainly applications in economics, business and insurance.
Department: SI Duration: 2022 - 2024 Grantor: GACR
The project is aimed at research in the field of stochastic systems in infinite dimensions, especially stochastic partial differential equations with non-Markovian and non-Gaussian noise terms. The main goal is to study basic properties thereof, in particular, the existence, uniqueness and regularity in time and space.
Department: ZS Duration: 2021 - 2024 Grantor: FG
The main objective of the storAIge project is the development and industrialization of FDSOI 28nm and next generation embedded Phase Change Memory (ePCM) world-class semiconductor technologies, allowing the prototyping of high performance, Ultra low power and secured & safety System on Chip (SoC) solutions enabling competitive Artificial Intelligence (AI) for Edge applications. The main cha