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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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Анализ и прогнозирование притока оплат на массовых открытых онлайн-курсах (МООК) на платформе Coursera

Вестник экспертного совета. 2018. № 4 (15). С. 122–128.
Taratuhina Y., Bleskina I.

This paper is devoted to the analysis of the MOOCs by the example of NRU HSE MOOCs on Coursera. It is assumed that the user’s behavior at the MOOCs depends on a number of factors, such as the name of the course , language, theme, etc. Thus, in this article we attempt to analyze the MOOCs and predict the profitability of an online course with certain parameters that allow to pre-determine and configure the parameters for creating a MOOCs demanded by the audience.

Research target: Education
Priority areas: business informatics
Language: Russian
Full text
Text on another site
Keywords: MOOCМООКanalysis of payments on MOOCsforecasting the functions of payments on MOOCsforecasting profitability of MOOCsанализ оплат на МООКпрогнозирование поведения функций оплат на МООКпрогнозирование прибыльности МООК
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