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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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Адаптация концепции умной специализации для развития регионов России

Вопросы государственного и муниципального управления. 2021. № 3. С. 75–110.
Еферин Я. Ю., Kutsenko E.

The economy of Russian regions is undergoing financial and economic crises. It forces regional authorities to find new ways for diversification of the regional economy expressed in strategic planning and setting of long-term priorities. Federal authorities provide financial support measures for the implementation of regional projects and initiatives. At the same time, at the federal level there is no unified approach to the choice of supported industries in regions that takes into account, among other things, priorities of regional authorities. In this paper, the authors aim to develop recommendations for improving the effectiveness of regional development support in Russia, based on the experience of the European Union in implementing the concept of smart specialization. The authors adapt European approaches to the Russian reality clarifying recommendations for stimulating economic diversification and interregional cooperation. For this purpose, the paper analyzes the consequences of structural changes that have occurred in the economy of Russian regions over the past ten years: from 2005 to 2015. The Russian version of the smart specialization concept should take into account important national features identified in this study. First, to encourage related variety in regions with a lower level of GRP per capita and to provide support for unrelated one in richer regions. Secondly, to prioritize support of interregional cooperation based on regions with large agglomerations. Third, to eliminate duplication of regional priorities with the exception of regions with a lower level of GRP per capita. The article proposes recommendations for optimizing allocation of budgetary funds from federal sources for the development of industries in regions: proposals for the law on strategic planning and the rules for granting subsidies for regional projects.

Research target: Political Science, International Relations, and Public Administration Economics and Management
Language: Russian
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Keywords: диверсификация экономики региональная экономическая политикамежрегиональное взаимодействиеумная специализация
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