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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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Потенциал развития несырьевого экспорта Российской Федерации в Латинскую Америку

Торговая политика. 2020. Т. 3. № 23. С. 75–106.
Tsarik E.

An attempt has been made to assess the prospects for increasing non-commodity exports of the Russian Federation to Latin America, despite the low level of existing trade and economic relations between our country and the countries of this region, there is a significant potential for intensifying their mutual trade. A revision of the quantitative assessment methodology is proposed to take into account the potential changes in international trade caused by the coronavirus pandemic and the ongoing crisis in the global economy. In addition, based on the theoretical concept of the discrete Hausman — Klinger commodity space, the rating of the potential for establishing exports to Latin America of non-traditional Russian non-raw material for this market is given.

Research target: Economics and Management
Priority areas: economics
Language: Russian
Full text
Text on another site
Keywords: международная торговляЛатинская Америкаinternational tradeэкспортный потенциалдиверсификация экспортаexport potentialexport diversification Latin America
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