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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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Подход к автоматизации проверки заданий в области компьютерной графики

Системный администратор. 2016. № 7. С. 138–140.
Gorokhova-Alekseyeva A., Korolev D.

This article describes an approach to assessment of assignments in online course “Computer Graphics” and in-class course “Video Technologies” held on MOOC platform Stepic and self-made platform for evaluation of graphical assignments for editing, encoding and composing video. This approach is suitable for assignments of various formalization.

Research target: Computer Science Education
Priority areas: engineering science
Language: Russian
Full text
Text on another site
Keywords: высшее образованиекомпьютерная графикавидеотехнологииMOOCМООКcomputer graphicshigher educationvideo technologiesautomation of assessmentавтоматизация проверки
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Added: May 29, 2026
Методическая концепция развития навыков саморегуляции у студентов-музыкантов в классе вокала
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Added: May 29, 2026
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Added: May 28, 2026
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Added: May 27, 2026
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Added: May 21, 2026
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Added: April 20, 2026
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The article addresses the problem of developing English argumentation skills among Russian-speaking students. Now that modern education places an emphasis on the development of complex cognitive skills argumentative competence has become a key element of successful academic communication. However, Russian-speaking learners face certain difficulties in mastering this type of competence within the English-language educational context. The ...
Added: April 11, 2026
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