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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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Особенности представления пространства в сознании носителей русского языка (по данным ассоциативного эксперимента)

Этнопсихолингвистика. 2025. № №2 (21). С. 74–92.
Belova P.

The article presents the results of studying the peculiarities of space reflection in the minds of native Russian speakers using methods of associative experiment and subjective definitions, and describes diachronic changes in the content of the associative field of the word-stimulus space. In general, native Russian speakers perceive space primarily as a large unfilled area located outdoors and not limited in size, and only then as a specific place in which something can be located and which can be mastered. At the same time, for modern people, internal, personal space is important, which is a zone of physical and psychological comfort of a person. When describing space, people pay attention not only to its functionality, but also to its aesthetic properties, and also mention those who inhabit it and are around.

Language: Russian
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Keywords: spaceязыковая картина мирапространствоассоциативный экспериментlinguistic picture of the worldassociative experimentmental categorymethod of subjective definitionsментальная категорияметод субъективных дефиниций
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