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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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Маньяк из соседнего канона: как наука нормализует культовое зло

Философия. Журнал Высшей школы экономики. 2022. Т. 6. № 2. С. 148–167.
Мария Марей

This article is devoted to studying cinematic images of serial criminals in a series of relevant topics: those where scientific and quasi-scientific methods, which are in Russian called “profiling”, are used to calculate and catch them. Assuming that cinema and television can change (and shape) a person's ideas about life, norms, about right or wrong, and proper and improper behaviour, the author refers to the comparison of the novel and the series as artistic phenomena with similar specifics of functioning and impact on the public. Further, the author compares the trickster and the maniac (psychopath or sociopath) found in the research literature and shows why this comparison is incorrect. Based on Foucault's discourse theory and his research of the concept of “abnormality”, the author focuses on the history of this concept in science and philosophy. Also, she stresses how the figure of an expert (criminologist, psychiatrist, doctor) arises and is conceptualized along with clarification of characteristics he is researching. Analyzing John Douglas' works, the author concludes that researchers who are now called profilers can be considered “experts” in the sense that Foucault wrote about it. They described the characteristics of a serial killer maniac, well known to us from films and TV shows. In the future, the images of serial criminals were built into account the data of modern science.

Research target: Philosophy, Ethics, and Religious Studies Psychology
Language: Russian
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DOI
Text on another site
Keywords: наукаМишель ФукоканонтрикстерFoucaultсериалыtricksteracademic scienceпрофилированиеcanonprofilingSerialsManiacsAbnormalityманьяки"Ненормальные"
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