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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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Методика и программный комплекс прогнозирования востребованности выпускников высшего профессионального образования

Известия Алтайского государственного университета. 2012. Т. 73. № 1-1. С. 137–141.
Bogoviz A. V., Бушмин И. А., Оскорбин Н. М., Панюкова А. Б.

The article solves a problem of estimating the demand for graduates of the higher vocational training on an example of the Altay Territory by methods of optimization using modern program toolkit.

Priority areas: economics sociology humanitarian IT and mathematics
Language: Russian
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Keywords: высшее образованиемоделированиеemploymentmodelingdemandметоды оптимизациизанятостьmethods of optimizationвостребованностьhigher education
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ML-based Fast Simulation of FARICH Responses
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A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
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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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This study examines the association between health status among elderly individuals living alone and pet ownership (cats, dogs). We employ data from the “Time Use Survey” conducted by the Federal State Statistics Service (Rosstat) in 2019, which contains information on more than 10,000 elderly individuals living alone aged 60 or older in Russia, including data ...
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The development of critical thinking is currently regarded as one of the key objectives of higher education. In this context, there is a growing number of instruments aimed at assessing critical thinking in domain-specific and more authentic educational settings. However, considerably less attention has been paid to the question of the extent to which the ...
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Персонализированная обратная связь на основе искусственного интеллекта: модель для магистратуры гуманитарного профиля
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Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
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Added: January 31, 2026
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