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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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Субъективная неопределённость в решении комплексных проблем

Психология. Историко-критические обзоры и современные исследования. 2012. № 2-3. С. 78–102.
Eliseenko A.

The study is focused on the role of uncertainty in solving various complex problems. Solving of complex problems is a relatively new and exciting area of research. Indeed, there is a great interest among researchers to understand how people deal with complex, novel task situations. The main target is to understand how uncertainty changes when the participants try to find the solution in complex dynamic situation. The uncertainty can be defined as cognitive and emotional estimates of unknown, unclear and unanticipated consequences of actions in context of complex situations. In that way the uncertainty seems to be a mix of subjective feeling and estimations. The complex task was simulated by the computer-based scenario proposed by D. Dörner- "Chocolate Factory 2.13". The experimental results for problem-solving behavior in complex dynamic systems describe the dynamics of subjective uncertainty. In this case the subjective uncertainty is gradually reduced. The main factor of this process is the dynamics of motivation which depends on the efficiency of complex problem solving.

 

Research target: Psychology
Priority areas: humanitarian
Language: Russian
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Keywords: динамикаuncertaintyпсихология личностиcomplex problem solvingdynamiccomplex dynamic scenarioрешение комплексных проблемсубъективная неопределённостькомплексный динамический сценарий
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