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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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Роль концепции устойчивого развития в экономической политике Аргентины и Бразилии

Латинская Америка. 2019. № 5. С. 52–63.
Shcherbakova A., Смагина А. В.

The paper examines the main measures of internal and foreign policies of Argentina and Brazil connected with SDG (sustainable development goals) in energy sector and agriculture. The authors provide the short characteristics of the current trends of foreign policies of both countries and then analyze the case studies of the impact of the concept of sustainable development on the internal policies of Brazil and Argentina. As a conclusion the authors name some outcomes about the correspondence of the agenda of Latin American leading countries to SDGs in the spheres of energy, tourism and agriculture.

Priority areas: economics
Language: Russian
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Text on another site
Keywords: сельское хозяйствоБразилиятуризмэнергетикаBrazilArgentinaАргентинаenergy sectorSustainable Development Goals (SDG)Цели устойчивого развития (ЦУР) AgricultureTourism
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