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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
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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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Assessment of the Contribution of Regional Higher Education Systems to the Socio-Economic Development of the Russian Regions

Russian Education and Society. 2017. No. 59. P. 68–93.
Leshukov O., Gromov A., Platonova D., Евсеева Д. Г.

This article analyzes how Russia’s networks of higher education institutions contribute to their host regions in terms of the following three major facets: the economic development; the human capital development; and the innovative development. To ensure the analytical framework used derives relevant and representative findings given the nature of the Russian socio-economic environment, the authors implement a customized methodology that factors in the most appropriate components from various international best practices in assessing university effects on comprehensive societal development. The study will be of interest to a wide audience of stakeholders in higher education and broader contexts, including policy professionals at the federal and regional levels, institutional leadership, researchers and analysts, students in socio-political, economic, and educational majors, etc. 

Priority areas: state and public administration
Language: English
DOI
Text on another site
Keywords: regional developmentimpact of higher education
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