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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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Методология управления инновационным развитием образования в условиях информационного общества

Дистанционное и виртуальное обучение. 2013. № 11. С. 16–26.
Meshkov N. A.

Prospects of innovative development of education on the basis of realization of the opportunities given by information society are discussed. Conditions of formation and development of the information-communication educational space (ICES) are studied. The task of creating of the information-analytical web-portal of Russian educational complex (REC) as a key system-forming element of innovative infrastructure of ICES is formulated. The technique of modeling and forecasting of innovative development of REC is offered. The concept of an intellectual control system of innovative development of REC in the conditions of information society is proposed and substantiates.

Research target: Education Computer Science
Priority areas: management business informatics
Language: Russian
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Keywords: информационное обществоаутсорсингмодернизация образованияинновационное развитиеoutsourcingинформационно-коммуникационное образовательное пространствороссийский образовательный комплексдистанционное обучениеinformation societyinnovative developmentcrowdsourcingкраудсорсингmodernization of educationинтеллектуальные системы управленияdistance learninginformation-analytical Internet-portalintellectual control systemsинформационно-аналитический Интернет-порталRussian educational complexфункциональные системы П.К.АнохинаnoosourcingP.K.Anokhin`s functional systemsноосорсингinformation-communication educational spacecrowdfundingкраудфандинг
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