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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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Логистика эмоционального воздействия и вопросы обеспечения национальной безопасности

Инновационная наука. 2015. № 11-1. С. 61–63.
Uvarov S., Григорьев М. Н.
Priority areas: economics management state and public administration
Language: Russian
Keywords: логистикагосударственное управлениеэмоциинациональная безопасность
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There remains a pronounced interregional differentiation in the level of digital development across the Russian Federation, which necessitates a comprehensive analysis of the factors influencing the digital maturity of public administration bodies in the country’s regions. This article offers a quantitative assessment of the impact of external socioeconomic, institutional, and technological factors on the level ...
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Rapid development of surveillance technologies is one of the most socially important consequences of the digital age. This paper investigates the factors determining consent to surveillance of various types  of  personal  data and contributes  to  rapidly  growing  research  on  citizens  perceptions  of surveillance practices. Relying on a comprehensive survey experiment, we study the effects of ...
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