Objective: To study modern intellectual methods, models and tools for creating software and hardware systems with intelligent functions.
Areas of research
- intelligent systems for identifying the structure and patterns in the data;
- development of intellectual software and hardware systems
- the use of fuzzy methods for parallel processing of data.
Staff
- Andriy Yerokhin, Head of Educational and scientific laboratory, dean of the faculty of Computer Science, professor, doctor of science (andriy.yerokhin@nure.ua);
- Oleksii Turuta, Associated Professor, PhD, Software engineering department;
- Andrii Babii, Senior Lecturer, PhD, Software engineering department.
Relationship with the educational process:
- О.В. Рябишев(ст. групи ІПЗздм-19-1), А.Л. Єрохін, А.Г. Бахмет (Здобувач освіти за 3-м освітньо-науковим рівнем). Аналіз тональності тексту українською мовою: Біоніка інтелекту. 2021. No 1 (96). С. 15–21. (ІПЗздм-19-1)
- В.О. Нечіпор (ст. групи ІПЗздм-19-1), А.Л. Єрохін. Модифікація метода класифікації Байєса для задачі виявлення спаму українською мовою: Біоніка інтелекту. 2021. No 1 (96).
Students took part in an experiment to train neural networks for computer vision systems. The analysis of bio-identification problems is used in teaching the discipline “Security of programs and data” in the topic “Systems of biometric identification.
Main scientific achievements for the reporting period:
Grant agreement for participation in the COST Action CA18231 project (https://www.cost.eu/actions/CA18231). Title: Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation. Project management is carried out in accordance with the norms of international law and the rules of the COST Association project.
room 128А
Laboratory page: https://nure.ua/en/branch/educational-and-scientific-laboratory-of-intelligent-hardware-and-software-systems-ihss
Web-site:
https://researchlabs.github.io/stage1.html