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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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Cognitive flexibility and cognitive demands: An eye tracking investigation

Ch. 37. P. 1–3.
Zhanna Chuikova, Anastasiia Liashenko, Myachykov A., Shtyrov Y., Izmalkova A.

Cognitive flexibility is crucial for adapting behavior to shifting demands, particularly in tasks with varying cognitive requirements. This study examines the relationship between cognitive flexibility levels and eye movement parameters across six difficulty levels. Results show that highly flexible individuals consistently outperform those with lower flexibility, demonstrating more fixations, shorter fixation durations, and reduced blinking. Notable differences in eye movement patterns become apparent at the highest difficulty levels (5-6), emphasizing the importance of switching abilities in complex cognitive tasks. These findings offer new perspectives on psychophysiological measurements of higher-order cognition, with significant implications for cognitive theory.

Language: English
DOI
Text on another site
Keywords: eye trackingcognitive flexibilitycognitive workload

In book

ETRA '25: Proceedings of the 2025 Symposium on Eye Tracking Research and Applications
Association for Computing Machinery (ACM), 2025.
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