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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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Чему еще научит российская революция: фактор П.Я. Чаадаева и политическая воля.

Вопросы философии. 2018. № 12. С. 131–140.
Tulchinskii G. L.

The Russian revolution is a process of ambiguous modernization (since the end of the 19th century), which is still not institutionally completed. The key moment was the events of 2017. Their result was the coming to power of the Bolshevik Party, the Civil War, the formation of the political regime, which gave the very traumatic modernization form for socium. To explain these events, we propose a P.Chaadaev paradox about the prospect of the victory of historically untenable socialism because of the untenable of its opponents. The "Chaadaev factor" content clarified with the help of the concepts of political will and N.Taleb’s "black swans". From this point of view, the society transition into a new state is a matter of a small number of uncompromising people, who are personally interested in the transition, involved in this process. Success comes in the case of simplification of problems and solutions in combination with the accentuated uncompromising minority and sufficient tolerance of the majority, when representatives of this majority have an asymmetry in their choice. The review results are beyond the scope of Russian experience and open up new opportunities for analyzing and solving problems of passionarity and tolerance. For example, if the reciprocity in tolerance conditions will violated, the society may lose immunity in relation to the willful intolerant minority.

Research target: Philosophy, Ethics, and Religious Studies Political Science, International Relations, and Public Administration History and Archeology
Priority areas: humanitarian
Language: Russian
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Text on another site
Keywords: модернизациятолерантностьнационализмmodernizationnationalismtoleranceintoleranceнетерпимостьРоссийская революцияЧаадаевRussian Revolutionpolitical willполитическая воляpassionarityTalebбуржуазная революцияпассионарностьТалебChaadaevbourgeois revolution
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