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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.
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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.
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Letramentos acadêmicos no ensino superior: aspectos verbo-visuais no processo de textualização em contexto semipresen

Linguagem & Ensino. 2013. Vol. 16. No. 1. P. 15–38.
Gambarato R.

This paper discusses writing in the university and investigates the verbal/visual and extra verbal aspects of the process of textualizing in the context of Distance Learning. Based on the concept of academic literacy from New Literacy Studies, it problematizes the relationship between chosen color and image in the process of text production developed by university students (teachers in training) in a distance Pedagogy course of a São Paulo State University, Brazil. This paper intends to contribute to the realm of Language Studies regarding to the establishment of criteria to investigate the integration between various semiosis in the creation of the concept of “text” not restricted to the recognition of its graphic base.

Language: Portuguese
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Keywords: writingdistance learningNew Literacy
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