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Subject
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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Текстогенные трансформации инфосферы. Методологический эскиз становления Интернета.

M. : Higher School of Economics Publishing House, 2012.
Shilina M. G.

The analysis of Internet communication realities enabled the researcher to identify such an essential characteristic as “textogenicness’” of the socioeconomic discourse. The effectiveness of its development is determined by the efficiency of texts and the interaction of communicators; technological characteristics of the current iteration of the Internet also depend on the behavior of users. Thus, philological dimension becomes the main criteria of the effectiveness of social development.
Besides, it is the philological explanation of textogenicness’, and not the technological one, that becomes an essential element of the theoretical concepts and practices of online communication, Public Relations, media. This explanation provides text / philological / liberal arts dimensions.

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: Russian
Keywords: информацияинтернет-коммуникациятекстогенностьписьморечь
Текстогенные трансформации инфосферы. Методологический эскиз становления Интернета.
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