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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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Статистическая модель для оценки формирования климатогенных угроз по данным мониторинга климата

Метеорология и гидрология. 2020. № 5. С. 59–65.
Semenov S., Попов И. О., Ясюкевич В. В.

A statistical model for the formation of climate-related hazards is proposed. The formation is described by several meteorological variables or applied climatic indices characterizing a calendar year. Their values or data for their calculation are provided by climate monitoring systems. A climate- related hazard arises when these variables or applied climatic indices together go beyond their safe ranges over substantial number of several consecutive years. Respective minimum values for the number of such years are substantiated for different levels of the likelihood of occurrence of a climate-related hazard. The developed methodology was applied to obtain probabilistic estimates of the climatic range of the tick Ixodes ricinus (Linnaeus, 1758), a vector of dangerous human diseases, and its changes in 2001-2010 as compared to 1971-1980. The results are presented in the form of schematic maps.

Language: Russian
Text on another site
Keywords: изменение климатаоценкаmappingclimate change IXODES RICINUSCLIMATE-RELATED HAZARD STATISTICAL MODEL ASSESSMENT EXAMPLECLIMATIC RANGEКЛИМАТОГЕННАЯ УГРОЗАКАРТОГРАФИЧЕСКОЕ ОТОБРАЖЕНИЕКЛИМАТИЧЕСКИЙ АРЕАЛ СТАТИСТИЧЕСКАЯ МОДЕЛЬ
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