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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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Критериально-уровневый подход к разработке учебно-диагностических материалов для формирования финансовой грамотности

Отечественная и зарубежная педагогика. 2023. Т. 2. № S1 (90). С. 65–87.
Рутковская Е. Л., Козлова А. А., Kolachev N.

The relevance of the article is determined by the need to introduce a criteria-level approach into the educational process, which is relevant for the modern school in the context of solving the problems of achieving the educational results declared in the Federal state educational standards. The article reveals approaches to determining the criteria and levels of complexity of tasks included in the Bank of tasks for financial literacy, developed in 2019–2022 at the Institute for Education Development Strategy of the Russian Academy of Education under the state assignment of the Ministry of Education of the Russian Federation as part of the project “Monitoring the formation of a functional student literacy.” The subject of the analysis was the criteria for identifying the levels of complexity of financial literacy tasks, multi-level complex tasks for financial literacy, and the results of their approbation.

Research target: Education
Language: Russian
Text on another site
Keywords: финансовая грамотностьФункциональная грамотность financial literacy functional literacytask difficulty levelscomplex tasksbank of financial literacy tasksуровни сложности заданий комплексные заданиябанк заданий по финансовой грамотности
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