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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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Мозговые корреляты опознания направления взгляда другого человека: исследование с использованием подсказки взглядом

С. 153–157.
Грищенко Д. И., Falikman M., Pechenkova E., Мершина Е. А.

The human gaze is a significant source of information during social interactions, and as such, it has been the focus of intensive study by researchers from various scientific disciplines for many decades. Two types of social gaze that develop sequentially in phylogeny and ontogeny are gaze following and mutual gaze. Previous behavioral research has identified statistically significant differences in reaction times in detection tasks for these two types of gaze. The aim of this study is to compare the brain correlates of visual information processing for gaze following and mutual gaze using functional magnetic resonance imaging. In addition to contributing to the study of social perception in human gaze, our study will enhance knowledge of the brain mechanisms of social interactions and bridge the knowledge of two disparate fields of psychology: social psychology and cognitive psychology.

Language: Russian
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Keywords: фМРТfMRIjoint attentionсовместное вниманиеgaze cueing paradigmgaze followingmutual gazesocial gazeметодика подсказки взглядомпрослеживающий взглядвстречный взглядсоциальный взгляд

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Когнитивная наука в Москве: новые исследования. Материалы конференции 25 – 26 июня 2025
Когнитивная наука в Москве: новые исследования. Материалы конференции 25 – 26 июня 2025
М.: Буки Веди, 2025.
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