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Project information
Aplikovaný výzkum v oblastech vyhledávání, analýz a vizualizací rozsáhlých dat, zpracování přirozeného jazyka a aplikované umělé inteligence

Information

This project doesn't include Faculty of Arts. It includes Faculty of Informatics. Official project website can be found on muni.cz.
Project Identification
MUNI/A/1195/2021
Project Period
1/2022 - 12/2022
Investor / Pogramme / Project type
Masaryk University
  • Specific research - support for student projects
MU Faculty or unit
Faculty of Informatics

Big data processing is nowadays a fundamental problem in many applications ranging from text retrieval, data analysis, visualization, and understanding. The backbone of this work is the processing of big data for efficient retrieval, storage, analysis, and visualization using various machine learning and artificial intelligence techniques and designing original approaches. This proposal thus builds on and further develops the results of specific research projects from 2010-2021. It is a project that contributes in a comprehensive way to the development of doctoral studies with a focus on synergies with other research and development projects (especially in relation to the use of research towards applications and the development of the CERIT center and possible collaboration with industrial partners of the department's laboratories), as well as to the development of research and development activities of master's students and to support the provision of student participation in international scientific conferences. The project covers research activities led by the staff of the FI Department of Machine Learning and Data Processing and part of the Department of Visual Informatics.

Sustainable Development Goals

Masaryk University is committed to the UN Sustainable Development Goals, which aim to improve the conditions and quality of life on our planet by 2030.

Sustainable Development Goal No. 4 – Quality education Sustainable Development Goal No. 9 – Industry, innovation and infrastructure

Publications

Total number of publications: 20

2024

2023

2022

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