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  • ЦИФРОВАЯ ИДЕНТИФИКАЦИЯ В СИСТЕМЕ ВЗАИМОДЕЙСТВИЯ БИЗНЕСА И ГОСУДАРСТВА В РФ
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News
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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ЦИФРОВАЯ ИДЕНТИФИКАЦИЯ В СИСТЕМЕ ВЗАИМОДЕЙСТВИЯ БИЗНЕСА И ГОСУДАРСТВА В РФ

Бизнес. Общество. Власть. 2026. № 1 (59). С. 171–179.
Mytenkov S., Домарева П. В.

The article provides a comprehensive analysis of the methods and problems of digital identification in the Russian Federation in the context of interaction between government agencies and business. The article examines the evolution of the regulatory framework, in particular, the transition from Federal Law 152 to Federal Law 572, which regulates biometric data and GIS "EBS". A comparative analysis of Russian legislation and the European General Data Protection Regulation is carried out, revealing key differences in approaches to responsibility and rights of subjects. The GOSTECH platform is considered as an example of an effective public-private partnership. It is concluded that digital identification has transformed from a technical task into a strategic element of GR, requiring businesses to work together with the government to ensure security.

Language: Russian
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Keywords: персональные данныеcybersecurityкибербезопасностьутечки данныхdigital identificationdata breachesцифровая идентификация
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