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News
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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Информационные технологии проектирования радиоэлектронных средств

M. : HSE, 2013.
Kofanov Y. N., Shalumov A. S., Uvaysov S. U., Sotnikova S.
Editor-in-chief: Kofanov Y. N.

This monograph discusses the latest version of the automated system , we ensure the reliability and quality of equipment ( ASONIKA ®), create this collective Scientific School " ASONIKA " (head prof . Kofanov YN ) of the Department " Electronics and Telecommunications" HSE in collaboration with scientific school of modeling , information technologies and automated systems (head prof . Shalumov AS ) . In this version of the system includes subsystems ASONIKA we develop the following information technology designing of electronic means (RECs ) to ensure electromagnetic compatibility , finite element modeling of mechanical processes with optimization , increasing the resistance of electronic equipment using vibration isolators , and analysis of fatigue destruction conclusions radioelements ; modeling of thermal processes in the construction of RES , the development of a database system , etc. ASONIKA Most of the questions included in this monograph titled lectures for students HSE, as well as themes are further studies conducted by Masters and PhD students . Version of the system described ASONIKA may be useful for engineering and scientific workers of industrial enterprises engaged in the introduction of new information technologies.

Research target: Education Electronics and Electrical Engineering Computer Science
Priority areas: engineering science
Language: Russian
Full text
Keywords: информационные технологиирадиоэлектронные средстваавтоматизированная системаАСОНИКА
Информационные технологии проектирования радиоэлектронных средств
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