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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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?

ASEAN in the “Brave Digital World”

P. 57–66.
Kanaev E., Simbolon L., Shaternikov P.

As scholars review ASEAN’s performance, as well as predict likely trends of its future development, the association’s response to the challenges presented by the Fourth Industrial Revolution becomes crucial. Assessing ASEAN’s pre-digital achievements as the foundation of its response to the emerging digital challenges, the authors specify the association’s current and prospective readiness to effectively cope with them. As distinguished from numerous writings on the aftereffects of the Fourth Industrial Revolution for ASEAN, the central argument of the chapter is as follows. The key vulnerability of ASEAN’s policy is the overlap of the long-standing and present ASEAN’s shortcomings as the central reason behind its insufficient preparedness to face the digital challenges rather than the seriousness of these problems per se. The academic novelty of the research comes from distinguishing an appropriate remedy to decrease this vulnerability.

The actuality and the academic significance of the research stem from the authors’ identification and analysis of issues critical for ASEAN’s future evolution. Among these issues, the pivotal are prospects for the association to lose its digital sovereignty as a result of the intensifying Sino-American contradictions over the digital issues, the emergence of new imbalances between and within Southeast Asian states with negative implications for the ASEAN Economic Community. The aftereffects of the on-going digitalization of economic exchanges for ASEAN’s multilateral dialogue platforms and initiatives in the economic and political-security sphere. The authors’ findings on this set of issues, as well as their assessment, determine the academic originality of the paper.

Language: English
Full text
Keywords: глобализацияЮго-Восточная АзияРоссияRussiaASEANАСЕАНsecurityбезопасность авиаперевозокцифровизацияIndo-Pacific regiondigitalizationBelt and Road InitiativeAsia-Pacific multilateralismПрогноз-2020азиатско-тихо- океанское многостороннее сотрудничествоИндо- Тихоокеанский регионИнициатива «Пояс и Путь»

In book

Регионы в современном мире: глобализация и Азия. Зарубежное регионоведение
СПб.: Алетейя, 2020.
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