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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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Компании-«газели» в российской экономике: устойчивость роста, инновационность, реакция на кризисы

Российский журнал менеджмента. 2023. Т. 21. № 2. С. 164–197.
Medovnikov D., Розмирович С. Д., Oganesyan T. K., Stepanov A. K., Мазурова С. А.

Goal: verification of the most popular hypotheses found in the world academic literature on High Growth Companies (HGCs) using Russian empirical data and statistics.

Research methodology: desk research of publications; analysis of statistics from Ruslana, the database of Russian and Ukrainian companies (maintained by Bureau van Dijk — a Moody’s Analytics company) which contains financial indicators, tax reporting data, and other information; analysis of information from the Professional Market and Company Analysis System (SPARK) and Federal Institute of Industrial Property (Rospatent) databases on intellectual property ownership; and review of companies through formal questions in survey interviews.

Findings: this study demonstrates the key contribution of the HGCs sector to economic growth: HGCs, which represent 15% of the total number of companies with revenues and more than 10 employees, generate 60% of the revenue growth of all Russian companies and employment growth from 1.5 million to 2.5 million in 2017–2020. In the past, 77% of HGCs grew sporadically, which does not support the hypothesis of unsustainable growth for most HGCs and can be the basis for using the rapid growth criterion for selective government support of business entities. There is evidence that innovative companies have more stable rates of rapid growth over the five-year period prior to this research. Based on the company survey, an assumption is formulated about the high resilience of Russian HGCs to external shocks including pandemic, Russia’s military operations, and sanctions against the country, and the HGCs’ willingness to continue growth despite existing difficulties and risks.

Originality and contribution of the authors: for the first time in Russia, this study analyzes the full set of Russian HGCs using a comprehensive statistical database. This allows us to compare HGCs from different industries and identify their industry-specific characteristics. In addition, we identify a group of innovative HGCs and show the characteristics of this type of companies. The materials obtained as a result of the review of companies supplement the results of the analysis of statistical data.

Research target: Economics and Management
Language: Russian
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Keywords: экономический ростинновацииeconomic growthinnovationsustainable growthустойчивый ростбыстрорастущие компанииsanctionshigh-growth companiesкомпании-газелиhigh-growth firmsгазелиантироссийские санкциипандемия коронавирусаcoronavirus pandemicотношение к пандемиипандемия COVID-19влияние пандемииgazelles2022 sanctionsсанкции 2022 годаrapid growthsanctions against Russiaбыстрый рост
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