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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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Подходы США и КНР к глобальному управлению киберпространством: «новая биполярность» в «сетевом обществе»

Вестник международных организаций: образование, наука, новая экономика. 2021. Т. 16. № 3. С. 7–33.
Degterev D. A., Рамич М. С., Пискунов Д. А.

From the perspective of power transition theory, international relations system is gradually entering the phase of "power transition" where the United States, as a global hegemon, seeks to maintain the existing world order, and China establishes alternative international formats to reorganize the system of international relations and strengthen its structural power.  Cyberspace and technological sphere are becoming the field of non-violent competition between states, which makes the study of global governance of cyberspace critical for the understanding of the outlines of the "new bipolarity".

The analysis in the paper is focused on U.S. & China approaches to global governance of cyberspace through the prism of Manuel Castells' theory of "network society". The authors aimed to determine the directions of the U.S. and China policy in the course of four types of "power" in cyberspace: networking power, network power, networked power and network-making power.

Present analysis concludes that the United States play crucial role in the course of all four types of "power" at the expense of decentralized model of Internet governance which is based on the idea of "multistakeholderism". NGO and other entities play a decisive role in such a model. Nonetheless, China has already developed necessary tools for reforming the present system of global governance of cyberspace based on centralized model with the leading role of United Nations as an international governance organization and state as a basic actor. The main beneficiaries of the centralized model are developing countries, which are unable to influence the global governance of cyberspace under the dominance of private companies from developed countries.

Research target: Political Science, International Relations, and Public Administration Economics and Management Media and Communications
Language: Russian
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Keywords: СШАглобальное управлениеUSAChinaКНРglobal governanceкиберпространствоcyberspaceсетевое обществоnetwork societynew bipolarityновая биполярность
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