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Article . 2025
License: CC BY
Data sources: Datacite
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МЕТОДЫ И НАУЧНЫЕ ПОДХОДЫ ДЛЯ РЕШЕНИЯ ПРОБЛЕМЫ ИНТЕГРАЦИИ КОГНИТИВНЫХ ТЕХНОЛОГИЙ В ОБРАЗОВАТЕЛЬНОЙ И ЭКОНОМИЧЕСКОЙ СИСТЕМАХ УЗБЕКИСТАНА И БЕЛАРУСИ

МЕТОДЫ И НАУЧНЫЕ ПОДХОДЫ ДЛЯ РЕШЕНИЯ ПРОБЛЕМЫ ИНТЕГРАЦИИ КОГНИТИВНЫХ ТЕХНОЛОГИЙ В ОБРАЗОВАТЕЛЬНОЙ И ЭКОНОМИЧЕСКОЙ СИСТЕМАХ УЗБЕКИСТАНА И БЕЛАРУСИ

Abstract

В современном мире когнитивные технологии, такие как искусственный интеллект (ИИ), машинное обучение, обработка естественного языка (NLP) и анализ больших данных, становятся ключевыми инструментами для повышения эффективности в различных сферах, включая образование и экономику. Узбекистан и Беларусь, как страны с развивающейся экономикой и образовательной системой, могут значительно выиграть от внедрения таких технологий. Цель исследования — создание экосистемы когнитивных технологий, которая будет способствовать улучшению экономических и образовательных результатов в обеих странах.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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