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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Статистический анализ рынка рублевых банковских депозитов в России в условиях цифровизации

С. 130–151.
Kopnova E., Османова А. О.

The work is devoted to the study of the ruble bank deposits market in Russia as a tool for attracting domestic monetary resources to stimulate economic growth. The analysis of the share of the studied banks in the total volume of ruble deposits made it possible to assess the concentration of the market, to identify its leaders. The conclusion was made about the high level of monopolization of the market, the uneven distribution of resources between credit institutions. The degree of influence of bank performance indicators on the formation of the deposit market, taking into account its structural features, is investigated. The tools of econometric analysis using panel data for Russian banks for the period from January 2015 to October 2020 were used. Based on the simulation results, a comparative analysis of the degree of influence of such indicators as the volume of assets of a credit institution, the volume of consumer loans issued, net profit, on the volume of ruble deposits was carried out. It is shown that the volume of assets has the strongest influence. At the same time, it was revealed that the impact of the volume of corporate loans issued on the volume of ruble deposits is statistically insignificant.

Language: Russian
Full text
Keywords: панельные данныебанковский сектормодель с фиксированными эффектамиdepositsдепозитыbanking sectorкоммерческие банкиfixed effects model panel data commercial banksmonopolization of the banking sectorмонополизация банковского сектора

In book

Цифровая экономика как драйвер экономического и социального развития: материалы IV международной научной конференции
М.: МГИМО (У) МИД РФ, 2023.
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