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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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Культурно-историческое измерение современной науки

M. , СПб. , Belgorod : humanitarian initiatives center, 2022.
Under the general editorship: Pruzhinin B. I., Shchedrina T.

The collection of articles was formed as a result of a series of seminars devoted to the philosophical problems of modern natural science. To a certain extent, these seminars restore the traditions of the seminars of the 1970s and 1980s, during which scientists and philosophers discussed acute methodological problems of scientific work. In order to realize the fundamental problems of the modern scientific worldview, philosophers of science must take a step towards scientists today, which is what the authors of the collection tried to do. They focus on actual problems that concern modern scientists: the reproducibility of experimental knowledge, the collective subject in scientific activity, the ecological foundation of natural science knowledge, as well as the problems of "human dimension" and "cultural universals". Specialists in high-energy physics, biologists, psychologists, sociologists, historians, political scientists from various Russian and foreign universities and academic institutions express their opinions in the appendix - a questionnaire on topical aspects of the development of science. The book is intended not only for professional philosophers specialists in the field of philosophy of science but also for a wide range of readers interested in the problems of Russian and world intellectual culture.

Chapters
К истокам человекоразмерности научного знания: разговор в истории медицины
Schedrina I., В кн.: Культурно-историческое измерение современной науки.: М., СПб., Белгород: Центр гуманитарных инициатив, 2022. С. 165–175.
The cultural-historical dimension of modern science implies looking at it from a particular position. First of all, the inclusion of a person in a general scientific context is taken into account - as an actor who is simultaneously inside the scientific process, and at the same time, as an observer who analyzes it from the ...
Added: March 17, 2022
Language: Russian
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Keywords: наукаinterdisciplinarityscienceмеждисциплинарностьестествознаниеnatural history
Культурно-историческое измерение современной науки
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