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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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Развитие понятий в младенческом возрасте и раннем детстве: когнитивные и нейронные основы

Психология. Журнал Высшей школы экономики. 2022. Т. 19. № 3. С. 626–641.
Котова Т. Н., Kotov A. A.

The present article contains a review of contemporary research on the development of concepts in children in infancy and early childhood. Human concepts underlie such fundamental cognitive functions as thinking, problem solving, planning, and decision making. The study of children's formation of concepts has recently been gaining popularity in cognitive developmental psychology. The main topics are determining the type of categories available to children for learning, establishing the age boundaries in which this learning typically occurs, and the factors that influence success. The review will present crucial research demonstrating that the development of concepts and categories in infancy and early childhood is the basis for many speech- and language-based cognitive processes. In addition, we will also discuss the possibilities of using language and verbalization to develop categorization ability and category learning at different ages, and whether training in verbalization ability could theoretically help children at an earlier age to learn different types of categories and to be aware of the categorization rule. The effects of early categorization are structured in the review in regards to two directions of study of concept development: multiple systems learning theory and categorization level development. We show that the development of concepts and categories supports the formation of basic cognitive functions: long-term memory, selective attention, and communication. The experimental data and theoretical concepts presented in this review are virtually unreported in Russian articles

Research target: Psychology
Language: Russian
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Keywords: cognitive developmentкогнитивное развитие
Publication based on the results of:
Brain and math: Cognition, age, and environmental factors (2022)
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