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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?
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?

The Contest for Control: Oil and gas management in Russia

.
Krukov V. A., Yenikeyeff S.

This book consists of eight case studies investigating the political economy of the decision chain involved in natural resource extraction in resource-rich countries, where plunder rather than prosperity has become the norm. Some case studies reveal successes, while others show the decision chain to have failed disastrously.

Language: English
Keywords: development economicsnatural resources and environmental economicsInternational relationseconomic growth and development

In book

Plundered Natons? Successes and Failures in Natural Resource Extraction
NY: Palgrave Macmillan, 2011.
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