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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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Education, New Technologies and Inequality in Contemporary Russia

Ch. 3. P. 119–134.
Strelnikova A.

Numerous studies show that the Russian educational system generates a number of paradoxical strategies, practices, and attitudes that illustrate various aspects of educational inequality. This paper highlights the paradoxes that accompany the process of instrumental modernization of education: the discrepancies between formal education levels and actual competencies, shifting attitudes toward education, and challenges for teachers in a tech-driven environment. Russians spend comparable time on education as in other countries, yet higher education yields lower competencies and economic returns. At the family level it reproduces inequalities through cultural capital, and the younger generations view diplomas instrumentally as "crusts" for jobs, prioritizing self-education, experience, or proximity over quality of education. 

Language: English
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Keywords: educational inequalityeducational inequality

In book

Sociology of Inequalities in BRICS Countries
Sociology of Inequalities in BRICS Countries
Amin N., Basu C., Castro B., Chattopadhyay R., Chernysh M., Dwyer T., Govender J., Strelnikova A. Palgrave Macmillan, 2026.
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