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News
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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Образ мира и содержание образования

Мир психологии. Научно-методический журнал. 2017. № 2 (90). С. 44–53.
Shadrikov V.
The process of world image formation in its relation to educational content is discussed in the article. The examination of this process is based on the sensual perception, primitive thinking, science knowledge system acquisition, individual and collaborative activities, outer world cognition, sense of self and others. Reflecting the world and person’s being is to master spiritual culture. The acquisition of the science foundations is addressed to necessity of developing personalized meaning of learning knowledge and to qualities of science knowledges as developing system. The complexity of science knowledge system submission to content of school education is analyzed.
Research target: Psychology
Priority areas: humanitarian
Language: Russian
Full text
Keywords: культураcultureсодержание образованияsubjectпознаниеcognitionобраз мираworld imageeducational contenteducational functionsфункции образованияучебный предмет
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