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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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Позиции и перспективы России в постиндустриальном мире

Известия Алтайского государственного университета. Серия Биологические науки. Науки о земле. Химия (Российская Федерация). 2014. № 3/1. С. 156–160.
Lopatnikov D. L., Кротов А. В.

The article is devoted to the questions of the world economy post-industrial development and the prospects of Russia. The non-material values as an integral characteristic of the modern «consumer society» are described.
Validity of the application of the expression «industrial appendage» of the Center countries is discussed in the article.
It is shown how the shift from the state industrial development to the post-industrial goes on and what consequences
come. The works of well-known native experts on the various aspects of the post-industrial development who dwelt in detail on some nuances of the modern international geographical division of labor were quoted.
The authors considered possibilities of the industrial structure transformation of domestic economy in the light of transition to "the knowledge economy" and highlighted the main limiting factors of our state inclusion to the vanguard of the world economy. Examples of the successful industrial project of China and possibility of this state inclusion to the elite of the most developed
countries are given as well. In conclusion ecological consequences of the modern specialization of Russia on industrial productions of extracting and manufacturing sectors are analyzed, and unfavorable conclusions are drawn.

Research target: Economics and Management Earth Sciences Biology
Priority areas: economics
Language: Russian
Full text
Text on another site
Keywords: глобализацияglobalizationdevelopmentразвитиепостиндустриализмcenterцентрpost-industrialismsemi-peripheryinternational geographical division of laborполуперифериямеждународное географическое разделение труда
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