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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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Book Review: On the Digital Semiosphere: Culture, Media and Science for the Anthropocene

Media International Australia. 2021. No. Online. P. 1–3.
Baysha O.

 

The book On the Digital Semiosphere by John Hartley, Indrek Ibrus, and Maarja Ojamaa is a highly original work that aims to develop a multi-dimensional method of analyzing culture and understanding the relationships among humanity, other living beings, and the planet. The authors offer a holistic method of analyzing complex interconnections between personal sense-making and global ‘big data’, whose trajectories of development appear to be mutually reinforcing. Such a ‘systematic approach to the creation of meaning and thence knowledge, by the whole species across the whole planet, is the analytical minimum needed to understand “what’s occurring”’, the authors claim

Research target: Media and Communications Sociology (including Demography and Anthropology
Priority areas: sociology
Language: English
DOI
Text on another site
Keywords: culturemedia spaceYuri LotmansemiosphereV.I. Vernadsky
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