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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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Emerging digital media culture in Russia: modeling the media consumption of Generation Z

Journal of Multicultural Discourses. 2020. Vol. 15. No. 2. P. 186–203.
Dunas D., Vartanov S.

Digital media is now the dominant influence of peoples’ everyday lives and social behavior in the global culture of twenty-first century society. Contemporary media usage is associated with the need for affection and involvement in social and cultural communities and approval and integration into the emerging digital culture. Thus, it is possible to observe signs of such important processes as socialization and self-actualization in media practices of the youth audience in digital media culture. These needs are strongly related to cultural and social processes and have been normally achieved in an individual’s cultural and social environments. This becomes crucial for the understanding of new digital media culture (DMC). The paper provides a theoretical discussion of this emerging DMC in Russia, conceptualizes Generation Z’s needs and motives and everyday media practices. In order to do this, the study conducted interviews with Russians aged 10–19 years old from Moscow, Nizhny Novgorod and Rostov-on-Don. The authors use mathematical methods to construct a model of Generation Z’s media consumption.

Research target: Media and Communications Mathematics
Language: English
DOI
Text on another site
Keywords: mathematical modelingDigital Mediamedia culturemedia consumptiongeneration Zmediacommunication industry
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