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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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?

Вызовы социальной гипермобильности: дизайн для прекариата

Техническая эстетика и дизайн-исследования. 2024. Т. 6. № 3. С. 67–75.
Rodkin P. E.

The article is devoted to the critical analysis and rethinking of the social object of design activity at a new stage of development of socio-economic system and changing technological mode. Design is considered in the context of the development of consumer society, the crisis of late globalization and the resulting challenge of social hypermobility. The precariat, which is "invisible" to the design industry at the functional, aesthetic and ethical level, is singled out as a new social object of design. Analyzing the characteristics and needs of this social group is necessary to understand the subject of modern designer's activity and to answer the questions of design industry development in general: what needs does design serve; what problems does it solve; what is the basis of new forms and design solutions? This problem is relevant in the context of self-identification of the design industry as sustainable and socially responsible within the framework of modern creative industries.

Research target: Media and Communications Other social sciences Social Sciences Humanities
Language: Russian
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Keywords: креативная экономикаобщество потреблениядизайнcreative classcreative industriesкреативные индустрииdesignпрекариатconsumer societyprecariatlate globalizationпоздняя глобализация creative economysocial hypermobilitydesign industriesсоциальная гипермобильностьдизайн-индустриякреативный класс
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