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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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The Fifth Generation of Revolution Studies? A systematic review

2024.
Korotayev A., Ustyuzhanin V., Grinin L. E., Egor Fain
There are grounds for stating that in the 21st century a new ("fifth") generation of revolution studies has emerged. It can be noted that the characteristics of this generation are: a tendency towards a macro approach (both in the historical and geographical sense) together with a systemic approach; the research of separate important types of revolutionary processes (such as Mark Beissinger's "urban civic revolutions") and important revolutionary innovations, such as the role of new information technologies in recent revolutions; innovations regarding the factors and causes of revolutions and innovations in the analysis of the factors influencing the choice of revolutionary strategy and the revolution outcomes; a special interest in the topic of revolutionary waves / "the diffusion of revolution"; a strong understanding that armed and unarmed revolutionary events have significantly different factors, structure and consequences; a focus on the study of unarmed revolutionary episodes / "non-violent maximalist campaigns"; use of global databases of revolutionary events; extensive use of modern methods of quantitative analysis.
Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: sociology
Language: English
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DOI
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Keywords: revolutionsреволюции
Publication based on the results of:
Global challenges to the development of the "Afrasian" macro-zone of instability in the context of Russia's national interests (2024)
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