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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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Between guns and music: local identity in provincial post-soviet city

P. 215–226.
Obukhov K., Власова Т. А.

The main topic of the article is the analysis of the contradictions of the local identity changes in Izhevsk. The empirical basis for this research consists of the interviews with the experts of different professions and a survey with a combined online and face-to-face strategy. According to data, it is possible to identify three ways of public presentation of Izhevsk: official pattern is associated with the personality of M. T. Kalashnikov, combination of military and soviet industry symbolism, and “antimilitarism” as a city of cultural industries. Residents of Izhevsk tend to support the first two ideas. The third image does not resonate with the townspeople. Contradictions in the representation of local identity affect the level of civic engagement of the population. Expressing a formal interest in urban change, residents are reluctant to invest significant resources in support of cultural institutions.

Language: English
Full text
Keywords: символикакультураcultureрепрезентацияrepresentationлокальная идентичностьsymbolismгородская политикаactivismurban policylocal identityактивизм

In book

Development of Urban Culture
Development of Urban Culture
DALI-BB, Banská Bystrica, v spolupráci s Filozofickou fakultou UMB v Banskej Bystrici, 2021.
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