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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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Когда задача кажется проще: влияние иллюзорного размера цели на точность попадания

Современная зарубежная психология. 2024. Т. 13. № 2. С. 142–153.
Кулиева А. К.

The article investigates the influence of subjective beliefs about one's efficiency on the results of sensorimotor activity through experimental studies using size illusions. Sensorimotor learning is a process of increasing the efficiency of activity as it is practised. It involves a two-way relationship between performance expectations and performance outcomes. Performance expectations are subjective beliefs about the likely success of a particular task. Visual illusions are often used to investigate this relationship. Illusorily larger targets are perceived as easier compared to illusorily smaller ones; as a consequence, subjects are more efficient at hitting targets that appear easier to them. However, results that do not fit the model are still observed. The paper proposes an explanation for the inconsistent results by a possible "failure" in a three-level mechanism involving replication of the size illusion, perception of targets as different in difficulty, and changing performance prediction according to difficulty. The paper analyses the design and results of 18 experimental studies conducted from 2012 to 2023 and suggests possible modifications of the experimental paradigms at each of the three levels of the mechanism of the effect of performance prediction on sensorimotor activity.

Research target: Psychology
Language: Russian
DOI
Text on another site
Keywords: самоэффективностьself-efficacy sensorimotor learningefficacy predictionсенсомоторное научениеsize illusionпрогноз эффективностииллюзии размера
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