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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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Place and Nature: Introduction

P. 1–25.
Moon D., Breyfogle N., Alexandra Bekasova, Lajus J.

­This is the introduction to the book that offers new perspectives on the environmental history of the lands that have come under Russian and Soviet rule by paying attention to ‘place’ and ‘nature’ in the intersection between humans and the environments that surround them. Through a series of carefully selected, linked case studies, the book highlights the importance of local environments and the specificities of individual places in understanding the human-environment nexus. ­This focus is accentuated by the fact that the authors have travelled extensively in the places they write about. ­They have first-hand experience of the specificities of local natural systems, and have gained a sense of how these places look, sound, taste, feel and smell. ­They have met, talked to, interviewed and in other ways engaged with members of the local populations, including the specialists in a variety of disciplines who study these places and ecosystems and the people who manage and administer them. In this way, our collective research also makes an important methodological intervention to the research and practice of environmental and perhaps also other elds of history: that to write robust history, historians need to embed themselves in the places and environments they study. In this way, our work underscores that ‘place’ and ‘nature’ are both topics of study and theoretical models and methodological approaches for scholarship.

Language: English
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Keywords: окружающая средаenvironmentистория Россииприродаместоhistory of Russianatureenvironmental historyplace

In book

Place and Nature: Essays in Russian Environmental History
White Horse Press, 2021.
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