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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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Совершенствование статистического учета научно-технологической сферы: классификаторы и их типология

Социология науки и технологий. 2025. Т. 16. № 1. С. 208–226.
Shashkov A., Malekova D. K., Veselitskaya N.

Nowadays, there is an accelerated development of technology, which requires more rapid collection of science and technology data to track the dynamics of change, monitor results and identify promising areas of development. Systematic structure of existing and developing areas of research and technology is impossible without detailed classifications of the scientific and technological sphere. These classifications play a vital role as the main tools for collecting and analyzing statistical information in accordance with the established structure and hierarchy. The purpose of the article is to create a new classifier for statistical accounting of technologies. This work is based on the analysis of existing classifiers of the scientific and technological sphere, their advantages and disadvantages. In this paper it has been developed a typology of classifiers in the scientific and technological sphere, which was previously absent in the research field. This typology plays an important role in creating a new classification system for statistical accounting of new technologies, since it defines various parameters such as coverage of areas, purposes of using classifiers, etc. It is also necessary for collecting and analyzing statistical data on science and technology, development information retrieval systems and preparation strategies in this area.

Research target: Economics and Management
Language: Russian
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Text on another site
Keywords: statistical datasciencetechnologyстатистический учетtypologyinformation retrieval systemsнаучно-технологическое развитиеstatistical accountingclassifiersклассификаторы научно-технологической сферытипология классификаций агрегирование статистических данных
Publication based on the results of:
Trends and factors of sustainable science and technology development (2025)
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