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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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Технологии «Умного города»: оценка социально-экономических эффектов

ЭКО. 2023. Т. 53. № 6. С. 50–71.
Bozhya-Volya A. A.

This study describes a new approach to a comprehensive assessment of the "outcomes" of the "Smart City" projects in Russian practice. We summarize urban, social and economic services for which "smart" technologies can be used; we determine the types of indicators that are appropriate for the assess of such projects; and we suggest a methodology for calculating the integral measurement of the “Smart City” projects in a particular city. To test the developed methodology, we calculate 5 indicators of “Smart City” projects performance in Perm (for the urban mobility and energy efficiency in street lighting and public building).

Research target: Economics and Management
Language: Russian
Full text
DOI
Text on another site
Keywords: умный городцифровые технологииSmart City urban developmenteconomic and social outcomesdigital technologiessocio-economic effectsсоциально-экономические эффектыконечные эффекты
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