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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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Russian Federation

Ch. 13. P. 347–365.
Gokhberg L., Kuznetsova T.

The centrepiece of the government's new economic model are 13 ambitious projects that align with The 2030 Agenda for Sustainable Development. Over a six-year period to 2024, the government is investing more than than US$ 1 trillion in science, the digital economy, ecology, health, education, housing and other areas. Readiness for the Fourth Industrial Revolution is a cross-cutting priority of the 13 projects and the national strategy for artificial intelligence. The government is espousing a goal-oriented management system to strengthen national competitiveness, independence and security. There are plans to develop world-class infrastructure in selected regions for ‘a new geography of science’. One challenge will be to raise expenditure on research and education, especially since improving the quality of public universities is a priority. Since 2015, solar, gas and wind consumption have progressed each year but the use of renewable energy is being hampered by the centralized management of the Russian energy sector, higher consumer prices for renewable energy and the rigours of the country’s cold climate.

Language: English
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Keywords: science and technology policySTI policyscience policyRussian FederationFourth Industrial Revolution
Publication based on the results of:
Research on the efficiency of innovation generation processes: resources and factors (2021)

In book

UNESCO Science Report: The race against time for smarter development
P.: UNESCO, 2021.
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