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June 2, 2026
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
June 2, 2026
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
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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Школа в период самоизоляции: что мешает и что помогает подросткам учиться?

Образование и саморазвитие. 2022. Т. 17. № 4. С. 150–164.
Ozornina N., Ефимова П., Тимошенко Н., Bochaver A. A.

The coronavirus pandemic led to a massive transition to distance learning at schools. All participants in the educational process adapt their lifestyle, workplace, communication methods and leisure forms to the new circumstances. Nowadays the consequences of this phenomenon begin to be studied. This article is devoted to the study of the experience of learning, communication and leisure of teenagers in conditions of social isolation and school closure and approbation of the risk and protective factors model in the context of adaptation to the distance learning. Thematic analysis of semi-structured interviews with adolescents aged 13-17 from Moscow, Ryazan, Tomsk, Moscow and Sverdlovsk regions allows us to characterize five thematic categories in terms of the main factors that make it more difficult or easier for schoolchildren to adapt to the distance learning. The categories include: school and teacher relations; supplementary education and hobbies; relationships with peers; family context; individual and personal characteristics of schoolchildren. The pilot nature of this study and a small sample limit the possibilities of extrapolating the conclusions to all groups of Russian schoolchildren, but allow us to problematize the complex nature of the difficulties faced by adolescents and demonstrate a wide range of resources that allow them to cope with them. Based on the results, we developed short recommendations that can be used by the management of educational organizations, teachers, and parents to reduce stress and simplify the adaptation of students during distance learning.

Research target: Psychology Education
Language: Russian
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Keywords: школьное образованиесоциология образованияsociology of educationдистанционное обучениеdistance learningподростковый возрастadolescenceсамоизоляцияself-isolationпандемияpandemicCOVID-19 school educationCOVID-19
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