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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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Процесс трансформации проблемной ситуации в задачу: содержательный анализ

Вестник Томского государственного педагогического университета. 2015. № 9. С. 126–133.
Погожина В. А.

The first step of the problem solving process is problem identification and problem statement. Existing problem analysis models are overspecialized. The article substantiates the approach to building a universal analysis model of a wide range of problem situations, regardless of context and subject fields. The main approaches to the problem analyzing process are mapped; key factors related to the efficiency of the problem to task transformation are identified. It is shown that the model developed on the basis of cognitive approach meets the requirements for the design of a universal problem analysis model. The hypothesis of the research is that the use of this model will allow to develop a complete orientational basis of action of problem to task transformation, regardless of context of the original problem.

Research target: Psychology Education
Language: Russian
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Keywords: задачапроблемная ситуацияrepresentationрешение проблемпсихология мышленияпоэтапное формирование умственных действий, интериоризация, методы психологического исследования, ориентировочная деятельность problem solving
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