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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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Инструментарий статистического анализа научной и инновационной деятельности российских вузов

Вопросы статистики. 2013. № 2. С. 38–52.
С.А.Заиченко, С.В.Мартынова

The paper illustrates capabilities of a new statistical tool developed for comprehensive in-depth quantitative analysis of research and innovation activity of Russian higher education institutions (HEIs). The results of such analysis are applicable for planning, coordination, and control of addressed public polices in S&T and innovation. The novelty of the approach and its implications to official statistics is explained by critical review of existing standard statistical tools for monitoring HEI potential and activities. The review is followed by detailed description of new methodology. The main part of the paper provides descriptive statistics based on the experimental tool as well as conclusions on application of these results for more in-depth analysis and for policy advise to Russian S&T and innovation policy-makers.

Research target: Economics and Management Mathematics
Priority areas: economics
Language: Russian
Keywords: научная деятельностьинновационная деятельностьвузстатистические показателистатистический инструментарийhigher education institutionsstatistical indicatorsS&T priorities
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