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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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Генезис и семантический кризис новизны

Социологическое обозрение. 2025. Т. 24. № 2. С. 164–189.
Khestanov R., Suvalko A.

The article examines the genesis of the concept of novelty and argues that modern difficulties in defining and identifying the new are a symptom of a semantic crisis, which is based on the loss of strategic normativity of novelty in modern culture. Three historical-semantic models of novelty are identified and analyzed: cyclical (characteristic of prehistoric societies), invented (peculiar to the modern era), and routine (reflecting modern trends). In the cyclical model, novelty and the ways of representing time were subject to strict control, and the future was interpreted through ritualized myth. The invented novelty model, which combined two perspectives on the origin of novelty — reproduction and combination — affirmed the value of rationally constructing the future. The routine model of novelty is characterized, on the one hand, by the algorithmization of the generation of the new, on the other hand, by the normativization of novelty in all spheres of modern man’s activity. The paper demonstrates how, in the context of digital culture, there is a transformation in the ways of identifying the new through discretization, combinatorics, and externalization of psycho-social existence in “aesthetically charged environments.” Particular attention is paid to the analysis of algorithmic forecasting which, unlike statistical prognostics, does not so much predict as shape the future. The research shows that the semantic crisis of novelty reflects fundamental changes in the temporality of contemporary culture and requires rethinking the role of novelty in the digital age.

Research target: Other Humanities Other social sciences
Language: Russian
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Text on another site
Keywords: креативностьновизнакомбинаторикатемпоральностьcreativitytemporalitycombinatoricsалгоритмизацияnoveltyalgorithmizationдискретизацияdiscretizationэстетически заряженная средаstrategic normativityaesthetically potent environmentстратегическая нормативность
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