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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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Проблемы имплементации искусственного интеллекта в сфере образования

Перспективы науки и образования. 2020. Т. 46. № 4. С. 23–35.
Maksimenko A., Духанина Л. Н.

Today, the introduction of artificial intelligence and robots into the economy, production, education, science, healthcare and other spheres of life has become inevitable. A person as an object influencing the course of the production cycle is replaced by programs that determine the way of thinking of artificial intelligence and the behavior of robots using digital algorithms, in this regard, the topic of research into the implementation of artificial intelligence becomes very topical. The purpose of this study was an attempt to analyze the diversity of currently used different definitions of the concept of "artificial intelligence", the use of artificial intelligence in education, as well as the results of a sociological survey conducted in August 2019 on the topic "Attitude of Russians to artificial intelligence." In addition, a comparison of various approaches to the disclosure of the concept of "artificial intelligence" is carried out, and the issues of responsibility for the work of artificial intelligence are considered. As a toolkit, the author's questionnaire was proposed to identify the attitude of Russians to the use of artificial intelligence in various spheres of public life. In the course of the online survey, 3,739 people were interviewed. As a result of the sociological study, the attitude of Russians to the content of the concept of "artificial intelligence", the need for its control by a person was revealed, the most demanded, from the point of view of respondents, areas of knowledge in which a person could effectively interact with artificial intelligence, as well as the public sphere and personal life in which his presence would be unacceptable. The scientific novelty of this study lies both in the measurement of public opinion regarding the attitude of Russians to artificial intelligence and the interpretation of its results, as well as in the generalization of theoretical questions on the topic, including those of foreign researchers in the field of using AI in education and training. The practical significance of the results lies in the simultaneous study of the experience of Western countries, introducing AI in education, and in taking into account the opinion of Russians regarding its implementation.

Research target: Psychology Social Sciences Education Sociology (including Demography and Anthropology Computer Science
Priority areas: sociology humanitarian business informatics
Language: Russian
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Text on another site
Keywords: искусственный интеллектonline surveyонлайн-опросыartificial intelligence the problems of introducing artificial intelligence into training and educationphobias and barriers to the implementation of artificial intelligencethe ethical aspects of introducing artificial intelligenceпроблемы внедрения искусственного интеллектаобучение и образованиефобии и барьеры имплементации искусственного интеллектаэтические аспекты внедрения искусственного интеллекта
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