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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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Загрузка объектной рабочей памяти и перцептивное сходство при решении задач зрительного поиска множественных стимулов

Экспериментальная психология. 2019. Т. 12. № 3. С. 119–134.
Kozlov K., Gorbunova E. S.

Subsequent search misses can occur during visual search for several targets. SSM is a decrease in accuracy at finding a second target after successful detection of a first one. Two experiments investigated the effect of object working memory load, target stimuli similarity and the similarity of stimuli in visual search task and working memory tasks on the SSM. It was found that targets perceptual similarity is significant, as well as memory load in case of working memory task and visual search task stimuli similarity. In addition, we found a significant interaction between working memory load and number of shared features between two target stimuli, which may indicate a common mechanism underlying the role of working memory load and perceptual similarity factors.

Language: Russian
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Keywords: working memoryрабочая памятьзрительный поискvisual searchsubsequent search missesпропуски при продолжении поиска
Publication based on the results of:
Investigation of psychological mechanisms for perceptual, motor and mental tasks solving by digital interfaces users (2019)
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