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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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Генезис полидисциплинарного коммуникативного метадискурса: о становлении науки о коммуникации в России

Коммуникации. Медиа. Дизайн. 2016. Т. 1. № 4. С. 106–129.
Sharikov A.

The paper attempts to explain why modern Russian communication science has a multidisciplinary theoretical basis. The author hypothesizes that modern Russian "communicative-theoretical eclecticism" formed historically, being genetically related to the entry into the Russian scientific lexicon the word "communication" with different meanings at different times in different disciplinary spheres; this in turn led to the emergence of a number of traditions that differ for different scientific areas and paved the way for the coexistence of a variety of concepts, constituting now the field of communication studies. The author shows disciplinary structure of Russian Communication Studies on the example of the array analysis of 4635 abstracts of theses on various issues of communication, defended from 1987 to 2015. Reveal 20 scientific fields, which are conducted communication studies from 23 possible in the classification of the Higher Attestation Commission under the Ministry of Education and Science of the Russian Federation. Special analysis of housing Russian scientific publications since the end of the XIX century to the present, in which there is the key word "communication", allowed to clarify the chronology of its appearance in a particular disciplinary field, which led to the identification of the traditional areas of communication studies in Russia. Among them are the key ones: philological, psychological, sociological (social science), biological (animal psychology), cybernetic.

Research target: Media and Communications
Priority areas: sociology
Language: Russian
Full text
Text on another site
Keywords: коммуникацияcommunicationобщениеcommunication studiesintercoursecommunication scienceкоммуникативные наукикоммуникативные исследования
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