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News
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Дидактические возможности нейросетей в контексте полимодального обучения иностранным языкам (на примере генерации изображений).

Иностранные языки в школе. 2024. № 10. С. 78–85.
Popova A.

The development of artificial intelligence technologies, and neural networks in particular, is accelerating every day. The process of their integration into foreign language teaching is becoming increasingly obvious to teachers and students. Thanks to the various functions of neural networks, new opportunities for teaching foreign languages are opening up. This article is a continuation of the series of articles on the integration of neural networks into multimodal teaching of foreign languages, published in №№ 7 and 9 in 2024. The author focuses on the multimodal approach, which combines different ways of perceiving information, and explains how neural networks can help in the implementation of this approach. The article describes neural networks created for generating images and their unique didactic capabilities, which they represent and allow to significantly diversify and enrich the learning process, making it more adaptive and interactive.

Research target: Education
Language: Russian
Keywords: изображениевизуализациянейросетьпромптискусственный интеллект в изучении иностранного языкаИнформационные технологииполимодальное обучение
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Informal Workers’ Capabilities and Recognition of Prior Learning. Current Practice and Alternatives
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