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News
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
'The Humanities Serve as a Conscience'
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?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Правовые средства защиты финансовых данных в банковской сфере Российской Федерации

Юрист. 2024. № 12. С. 59–63.
Oshmankevich K.

the issue of legal regulation of financial data protection in the Russian Federation is reviewed in the article. The author highlights the importance and actuality of the issue, providing statistical information. Due to active digitalization of economic relations, the issue of determining the range of data related to financial data, as well as their proper protection, becomes significant. The article reveals the concept of "financial data", analyzes the level of legal regulation of the protection of sensitive financial information. In particular, the powers of the Bank of Russia as a regulator of the financial market of the Russian Federation in the field of ensuring the security of critical information infrastructure and establishing requirements for credit institutions in the field of information protection are considered. The role of the regulations of the Bank of Russia in the field of ensuring information security in the relevant area is noted, but the author notes the absence of the minimum necessary requirements for legal and technical means of protecting information as such. At the end of the study, the author comes to the conclusion that it is necessary to improve legal regulation in this area and makes proposals for amending the legislation and regulatory legal acts of the Bank of Russia.

Research target: Law
Language: Russian
DOI
Text on another site
Keywords: банкиbanksфинансовые данныеfinancial data
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