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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?
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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Современные GR-практики бизнес-образования: кейсы Москвы и Санкт-Петербурга

Бизнес. Общество. Власть. 2023. Т. 50. № 4. С. 43–71.
Kirillina V. N., Vyatskaya Y.

One of the main problems of Russian business is the shortage of qualified personnel, which only worsened in 2022. Professional development, business education are becoming a possible solution to increase the level of human capital of employees. This article will address the following issues: 1) how and who promotes the interests of business education; 2) what is the role of business schools; 3) how do Moscow and St. Petersburg support business education? Using the content analysis method, the key gr practices of Russian business education were analyzed for 3 periods: from 2019 to February 2020.; March 2020 – December 2021 and the whole of 2022. It was revealed that the main gr practice until 2022 was the practice of promoting interests through Russian and international conferences, in 2022 – legislative practice.

Research target: Political Science, International Relations, and Public Administration Education
Language: Russian
DOI
Text on another site
Keywords: business educationбизнес-образованиеinstitutionalizationинституционализациявзаимодействие бизнеса и властиthe interaction of business and governmentGR-практикиgr-practices
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