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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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Реалити-шоу: особенности восприятия российским зрителем

Медиаальманах. 2025. № 2. С. 62–68.
Knyazev I. А.

This study is devoted to the analysis of the peculiarities of perception of reality show programs by the Russian audience in the first half of the 2020s. The large number of new reality shows that have appeared on the domestic television market in recent years requires assessment and analysis.

years requires evaluation and analysis, including one of the most important issues is the question of the peculiarities of viewers' perception of such content. In order to conduct

research on this issue we used the survey method, which showed not only how modern viewers perceive this format in general, but also allowed us to identify new features that have appeared in the behavior of users when watching reality shows.

Research target: Media and Communications
Language: Russian
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DOI
Text on another site
Keywords: телевидениеtelevisionaudienceаудиторияТелешоуstreamingTV showsстриминг
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