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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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Правовое положение соотечественников, проживающих в странах постсоветского пространства: сравнительный анализ

-, 2023.
Kramarenko A., Затулин К. Ф., Егоров В. Г., Докучаева А. В., Сакулин С. В., Савина О. В., Авимская М. А., Кузнецова Ю. Ю., Линник Т. С.

The book “The current situation of compatriots living in the countries of the post-Soviet space: a comparative analysis” contains the results of a study conducted in Azerbaijan, Armenia, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Moldova, the Transnistrian Republic of Moldova, Tajikistan, Uzbekistan, and Estonia. The study was carried out by the Institute of Diaspora and Integration (Institute of the CIS countries) in 2021–2022. It included an analysis of normative and legal acts regulating the use of the Russian language in the countries studied, the results of a sociological survey among groups of the population who refer to themselves as Russian compatriots, and a review of previous studies on the problem of Russian language use and its functioning in various spheres of public life. The book is of interest to state and public bodies dealing with the legal protection of compatriots living abroad, as well as to researchers of the Russian diaspora.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
Full text
Keywords: постсоветское пространствороссийская диаспораDiaspora policiesпереселение соотечественниковГосударственная программа переселения соотечественниковState programme for resettlement of compatriotspost Soviet spaceдиаспоральная политикаRussian compatriots
Правовое положение соотечественников, проживающих в странах постсоветского пространства: сравнительный анализ
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