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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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The 10-th Annual conference Embodied and Situated Language Processing (ESLP)

M. : 2017.

The general topic of this Anniversary edition of ESLP is Interdisciplinary Approaches to Embodied and Situated Cognition. ESLP 2017 will showcase new theoretical and empirical research by individuals and groups who transcend traditional research fields’ boundaries and combine research methodologies in their investigations of embodied and situated nature of linguistic and conceptual knowledge.

Chapters
Acquiring of new word meaning by auditory-motor associations in trial-and-error learning paradigm
Chernyshev B. V., Zhukova A. A., Nikolaeva A. Y. et al., , in: The 10-th Annual conference Embodied and Situated Language Processing (ESLP).: M.: [б.и.], 2017. P. 44–45.
According to the embodied cognition theory, speech is largely based on the body motor and sensory experience. The question, which is crucial for our understanding of the origin of language, is how our brain transforms sensory-motor experience into word meaning. We have developed an auditory-motor experimental procedure that allowed investigating neural underpinning of word meaning ...
Added: October 27, 2017
Research target: Psychology Philology and Linguistics
Language: English
Full text
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Keywords: linguisticspsycholinguisticslanguage processing
The 10-th Annual conference Embodied and Situated Language Processing (ESLP)
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