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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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?

Homo Transmutans: Challenges of Educational Discourse in a Digital Multicultural Class

Ch. 2. P. 108–148.
Elena V. Moshnyaga

The focus of the study is on the transformation of individuals as communicators in a digital multicultural educational environment, a large-scale worldwide transition that was caused by pandemic (COVID-19) restrictions and the consequences of which have dramatically changed the formats and forms of communication in educational settings. Adapting to the virtual space of intercultural communication and the new, electronic, continuum of educational discourse, students, transforming themselves, transform the communicative community and their learning environment. The purpose of the study is to identify and conceptualize the signs of transformation of the multicultural class participants’ identities when studying under international programs in the virtual space of communication. The research methods involved participant longitudinal observation (during the period of 2020–2024: the pandemic and the immediate post-pandemic years), survey, discourse analysis, and conceptual and axiological analyses. Among the results reflecting the dynamics of communication transformation processes in digital intercultural education are the encapsulation of communication, transcultural communication, and the development of multimodal competency, to name but a few.

Language: English
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Keywords: educational discourse intercultural communicationtranscultural communicationmulticultural classcapsule communicationtransmodern situationmultimodel competency

In book

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