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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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Социально-экономические аспекты распространения пандемии COVID-19: особенности по странам

С. 209–214.
Kashin D.

The article provides an overview of the socio-economic consequences of the spread of the COVID-19 pandemic in different countries of the world. Analyzing open resources, the author revealed that both in developed countries with a stable economy and in developing countries, the coronavirus increased social imbalances among the population and exacerbated economic inequality.

Language: Russian
Full text
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Keywords: коронакризисCOVID-19 pandemicпандемия COVID-19coronacrisis

In book

Приоритетные направления инновационной деятельности в промышленности
Приоритетные направления инновационной деятельности в промышленности
Каз.: ООО «Конверт», 2021.
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