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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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Об издержках, порождаемых проблемами измерения инфляции

Вопросы статистики. 2016. № 10. С. 12–21.
Bessonov V. A.

The article examines problems related to the measurement of Russian inflation that lead to distorted perception of economic reality which economic agents have. The authors discuss recent changes in methods for constructing the Russian consumer price index (CPI) and the effect this will have on the economic policy. The change in the information base upon which the weights are based, has resulted in the fact that (all other things being equal) the CPI, calculated according to the new methodology, shows a somewhat higher rate of inflation. This creates a more pessimistic view of the situation in the economy and provokes a more stringent monetary policy.

The paper discusses approaches to the analysis of tendencies in the prices dynamics on the example the accelerating inflation episode of the end of 2014 - early 2015. It is shown that common incorrect methods for analysis of short-term trends lead to conclusions about the duration of the episode and the dating of the respective turning points that are known to be wrong.

The author review those features of the CPI constructing technique, which affect the accuracy of inflation measurement amid economic crises. An incomplete accounting of household expenditures on housing is shown to result in an overestimation of the CPI growth rate for the cost of living in the initial phase of the crisis and in their underestimation at the stage of post-crisis recovery. All these distortions can the cause of sub-optimal decisions and influence the operation of economy. The paper discusses the nature of this influence and associated costs.

Research target: Mathematics Economics and Management
Priority areas: economics
Language: Russian
Full text
Keywords: кризисcrisisэкономическая статистикаeconomic statisticsвременной рядиндекс ценtime seriesprice indexprice statisticsстатистика цен
Publication based on the results of:
Factors of long-term Russian economic development in global context (2016)
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