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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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Представления Россиян о будущем России

Социологические исследования. 2022. № 10. С. 49–61.
Андреев А. Л., Андреев И. А., Slobodenyuk E.

The subject of the article is the social ideals of Russians and their ideas about the prospects and the ways for the development of the country. Based on the results of All–Russian sociological surveys, including those conducted in 2021-2022, the article analyzes consolidated Russians’ demand for future options, clears up the conceptual foundations of such demand and identifies their social subjects. Comparing the results of sociological studies of various years, the authors of the article note stable ideas of the Russian population about the further development of the country. In the first place among the qualities that Russia of the future should possess, most Russians call social justice, overcoming corruption, mitigating social inequalities, transition to an innovative economy, strengthening the country's international positions. At the same time, as shown in the article, in their understanding of national goals and in their requests for the future, Russians rely on collective historical experience, the quintessence of which is the conviction by the majority of citizens that "Russia should live by its own mind", not looking at imported models and patterns, including Western ones. Accordingly, liberal values in their Western understanding attract only a minority of citizens. In this regard, the article raises the question of how differing perceptions of what is due and desirable in regard to Russia’s future of correlate with basic social differences (gender, age, education, place of residence, etc.). It is shown that the differentiation of Russians' views on this issue is practically not related to standard socio-demographic differences being rooted in their worldview choice. It is shown that, despite growing anxieties caused by the change in the political situation in the world, values and demands of Russians for the future basically fit into the trends traceable in sociological surveys of the past two decades.

Research target: Sociology (including Demography and Anthropology Social Sciences
Language: Russian
Full text
DOI
Keywords: российское обществобудущееrussian societyмодель развитияроссийская ментальностьimages of the futuresociology of the futurerussian mentalitydevelopment modelобразы будущегосоциология будущего
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