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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Вопросы лексикографического портретирования слов с общим значением странный

Филологические науки. Вопросы теории и практики. 2017. № 4-1(70). С. 179–185.
Лукошус О. Г., Сулейманова О. А.

The article is devoted to questions connected with the lexicographic portraiture and description of the meaning of adjectives entering the synonymic row with the common meaning “strange” – strange, weird, odd, queer. The article offers a description  of the semantics of the words belonging to the group “strange”, obtained as a result of the experimental research. The proposed description can serve as a basis for their more accurate and adequate lexicographic portraiture. 

Research target: Philology and Linguistics
Language: Russian
Keywords: значениекогнитивная семантикасинонимылексикографическое портретирование
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The theory of social representations developed by S. Moskovichi is not in demand in Russian studies of media communication, while abroad, on the contrary, it is productively used by media researchers. Taking into account one of the main provisions of the theory about the formation of social representations in the communication process, as well as ...
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The article aims to show that the task of grounding categorial constituents in the specific founded acts of perception yields the problem field of phenomenological inquiry, within the framework of which remains Heidegger’s project of fundamental ontology. To achieve this goal the article reconstructs, first, the problem of the possibility of a priori correspondence between ...
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The problem of determining semantic similarity between words affects the understanding of synonymy 13 and creates obstacles to the work of lexicographers. The study was carried out as a part of a larger 14 research project on expert assessment of synonymic rows in RuWordNet thesaurus (a WordNet–like 15 thesaurus for the Russian language). The aim ...
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В данной работе обосновывается когнитивный подход к обучению с акцентом на оптимизацию содержательного компонента образовательной стратегии, а именно: введение элементов когнитивной семантизации, реструктуризацию отбора языкового материала с учетом лексического и грамматического комментария, учитывающего когнитивный фон этого материала и его культурную нагруженность. Такой анализ языковых явлений с точки зрения имплицитно проявляющихся в них особенностей восточного мировосприятия ...
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Дискурс-анализ
Ilyin M., Пахалюк К. А., Fomin I., В кн.: Современная политическая наука. Методология.: Аспект Пресс, 2019. С. 464–483.
Дискурс-анализ (анализ дискурса) — набор исследовательских подходов и аналитических приемов, используемых при изучении дискурсов. Конкретные методы используемые при таком изучении могут существенно различаться в зависимости от исследовательской традиции, дисциплины или научной школы, в рамках которой выполняется анализ. К разновидностям дискурс-анализа относятся, например, дискурс-исторический подход (Р. Водак), социо-когнитивный подход (Т. ван Дейк), социально-акторный подход (Т. ван ...
Added: August 24, 2021
Слабый vs Сильный искусственный интеллект
Raikov A., Информатизация и связь 2020 № 1 С. 81–88
It is proposed to distinguish between the traditional, so-called, weak, artificial intelligence (AI) and strong artificial intelligence, or artificial general intelligence (AGI). The latter is not considered as the evolutionary stage of the development of AI, but something else related to the construction of an informal and non-causal phenomenological space, as a kind of opposite ...
Added: December 7, 2020
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