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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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Заключение

Гл. 7. С. 333–353.
Vishnevsky A., Zakharov S. V.
Language: Russian
Full text
Text on another site
Keywords: рождаемостьсмертностьмеждународная миграцияlife expectancyпродолжительность жизниmortalityinternational migrationвнутренняя миграция в Россииfertilityinternal migration in RussiaRussia and OECD countriesРоссия и страны ОЭСР
Publication based on the results of:
Demographic trends in Russia and in the OECD countries: comparative analysis and implications for policy (2015)

In book

Население России 2014. Двадцать второй ежегодный демографический доклад
Население России 2014. Двадцать второй ежегодный демографический доклад
М.: Издательский дом НИУ ВШЭ, 2016.
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Russia's Maternal Capital policy initially increased total fertility rates, stimulating much discussion on whether it would result in more births or only earlier births. Effects of that policy upon different ethnic groups within Russia, however, have not received systematic attention. Varying demographic, socioeconomic and cultural characteristics of ethnic groups in Russia provide a unique opportunity ...
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