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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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Structural changes and economic growth in the world economy and Russia

Russian Journal of Economics. 2019. Vol. 5. P. 1–26.
Mironov V., Konovalova L.

The article considers the problem of the relationship of structural changes and economic
growth in the global economy and Russia in the framework of different methodological
approaches. At the same time, the paper provides the analysis of complementarity of
economic
policy types, which, on the one hand, are aimed at developing the fundamentals
of GDP growth (institutions,
human capital and macroeconomic stabilization), and on
the other hand, at initiating growth (with stable fundamentals) with the help of structural
policy measures. In the study of structural changes in the global economy, new forms of
policies of this kind have been revealed, in particular aimed at identifying sectors — driversof
economic growth based on a portfolio approach. In a given paper a preliminary version
of the model of the Russian economy is provided, using a multisector version of
the Thirlwall’s Law. Besides, the authors highlight a number of target parameters of indicators
of competitiveness of the sectors of the Russian economy that allow us to expect its
growth rate to accelerate above the exogenously given growth rate of the world economy.

Priority areas: economics
Language: English
Full text
DOI
Text on another site
Keywords: economic growthRussiastructure of economyLabour productivitystructural policy
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