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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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Educational Inclusion of Indigenous Students in the Russian Federation

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Tatiana Vlasova, Kozlov A., Kozlova M. A.

Abstract Consideration of the challenges of education for indigenous peoples in the chapter requires attention both to the topic of preserving cultural heritage and languages and to the issues of accessibility of higher education for representatives of indigenous minorities. First, we will briefly talk about ethnic and cultural diversity in the Russian Federation, then we will present the key provisions of the Russian educational policy regarding indigenous peoples. In the final part, we present the results of our empirical study of the educational integration of indigenous students at the university.

Language: English
Full text
Keywords: ethnic relationsполиэтническое обществомежэтнические отношения в школеethnic communitiesethnic and cultural identityвзаимная интеграция этнических групп
Publication based on the results of:
The risks of social turbulence and the integrative potential of Russian society (2024)

In book

Inclusive education in the Russian Federation: Scoping International and Local Relevance
Ajsmontas B., Alekhina S., Aleksandrova L., Anchikov K., Bolshakov N., Cherviakova A. A., Iarskaia-Smirnova E. R., Kersha Y., Khalina N., Kosaretsky S., Kozlova M. A., Mertsalova T., Mikheev I. S., Pishnyak A., Prisyazhniuk D., Sinyavskaya O., Vlasova T., Zaichenko N. A. Springer, 2024.
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