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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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Silencing alternative voices in times of war in Ukraine and Russia

Ch. 6. P. 101–118.
Baysha O., Chukasheva K.

The ongoing Russia-Ukraine war has turned out to be not only a full-fledged military conflict but also a war against oppositional journalism. In Ukraine, several independent journalists and bloggers were also arrested for “spreading Russian propaganda," but the the violations of freedom of expression in Ukraine have not become a popular subject of academic analysis. With the aim of contributing to this research area, this chapter discusses how both Russian and Ukrainian authorities have been striving to shut down alternative discourses, trying to stabilize meanings favourable to their political goals. The chapter also analyses four cases of convicted oppositionists, comparing their interpretations of the war, and tracing what alternative meanings were silenced and marginalized.

Language: English
DOI
Text on another site
Keywords: alternative mediadiscourse analysisRussia-Ukraine military conflictmainstream media

In book

Media, Dissidence and the War in Ukraine
NY: Routledge, 2024.
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