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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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Второй марксизм: история сборника "Проблемы истории докапиталистических обществ" в письмах и документах

Новое литературное обозрение. 2024. Т. 189. № 5. С. 45–60.
Алымов С. С.

The article examines the history of the edited volume
“Problems of the History of Pre-Capitalist Societies”,
which was conceived as a series, but only one issue
was published. The author shows that in connection
with the publication of this volume a circle around
its editor-in-chief, Luidmila V. Danilova, developed
a net work of informal contacts and correspondence
that brought together scholars of several disciplines
interested in the theoretical constructions around
the notion of “primitive society”. The author conclu -
des that this group is an example of the “Second
Marxism” in the USSR, i.e. a group of scholars and
“people of the 60s” who sought to rethink the Marxist
understanding of history through a critical reading of
the works of Marx and Engels, new scientific data,
and a revision of the Stalinist version of historical
materialism.

Research target: History and Archeology
Language: Russian
Full text
DOI
Text on another site
Keywords: этнографияethnographyMarxismпервобытное обществошестидесятникиhistory of humanitiesгуманитарная наукаSoviet "Sixtiers"марксизм
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