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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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Социально-демографические факторы бедности в современной России

Гл. 5. С. 106–121.
Lezhnina Y. P.

The chapter analyzes the impact of various socio -demographic characteristics of the individual to the risk of poverty. It is demostrated that the  certain features are not just factors of poverty, along with the structural characteristics of individuals, but their role is great. Still, they are mostly complementary and corrective, rather than the main causes of poverty/ and the last is mostly determined by position in the labor market . Exceptions are the cases of very high dependency load and belonging to single-parent or multi-children families .

Language: Russian
Full text
Keywords: бедностьinequalitypovertyнеравенствофакторы бедностиfactors of poverty

In book

Бедность и бедные в современной России
Бедность и бедные в современной России
М.: Весь мир, 2014.
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