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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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Результаты комплексного исследования протомеотского погребения всадника из Адыгеи

История, археология и этнография Кавказа. 2025. Т. 21. № 1. С. 124–140.
Леонтьева А. С., Эрлих В. Р., Ерёменко К. Ю., Добровольская М. В., Абрамова А. Н., Киселёва Д. В., Шарко Ф. С., Nedoluzhko A.

This paper reports on a proto-Maeotian burial complex of a horseman warrior discovered in 2023 in the foothills of Adygea (N 44.22787800, E 40.12983900). The burial assemblage included weaponry, notably an axe-scepter, a Colchian fibula, an equine skeleton, and a set of bronze horse bridles contemporary with the Novocherkassk treasure. Based on these findings, the authors date the burial to the late 8th century BC. Comprehensive analyses, including natural science methods, were conducted on the burial. Anthropological examination determined the interred individual to be a male over 55 years of age who had sustained a cranial injury during his lifetime, potentially in military engagements. The authors propose that this elderly proto-Maeot horseman warrior may have participated in the “Cimmerian campaigns” in the Transcaucasia and Western Asia. Strontium isotope analysis of human and equine tooth enamel samples did not corroborate their habitation in the immediate vicinity of the burial site, nor did it indicate an origin in Western Transcaucasia. The unusual proportions of the horse skeletal remains prompted an investigation into a potential hybrid origin for the animal. However, detailed morphometric and molecular genetic analyses did not confirm the presence of a mule or hinny. Establishing definitive evidence for a specific local horse breed in the Early Iron Age of the North Caucasus necessitates dedicated genomic research.

Research target: Biology History and Archeology
Language: Russian
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Keywords: Северный КавказNorth Caucasusгеномancient DNAЛошадиHorsesProto-Meotпротомеотыдревняя ДНК
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