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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
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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?
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Нейрофизиологические корреляты автоматической обработки нулевой морфемы: данные вызванных потенциалов.

Журнал высшей нервной деятельности им. И.П. Павлова. 2022. Т. 72. № 5. С. 666–677.
Alexeeva M., Myachykov A., Shtyrov Y.

Language functioning as a communicative system is described by a multitude of linguistic theories, which are not always consistent with each other and do not have strong cognitive and/or neurobiological bases. One of the most striking examples is the “zero morpheme” proposed by the Universal Grammar theory, which has only an abstract meaning and no phonological representation (for example, null case affix: stol-Ø (Nominative; tableNOM) vs. stol-a (Accusative; tableACC)). To address the question of neurocognitive processing of the zero morpheme, we ran an EEG experiment with passive non-attend design. Experimental stimuli included phrases with correct and incorrect pronoun-verb gender agreement (null: he bought-Ø, filled: *he bought-FEM) and single verbs as a control. During the ERP analysis we found higher activation for the conditions of zero morpheme agreement violations (p = 0.036) started from ~200 ms (ELAN), reflecting an early automatic syntactic processing of the zero morpheme. Results support the priming hypothesis for conditions with zero morpheme and its activation during language processing.

Research target: Psychology Philology and Linguistics
Language: Russian
DOI
Text on another site
Keywords: speech processingобработка речиneurolinguisticsнейролингвистикаEEGЭЭГzero morphemeнулевая морфема
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