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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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Agent-based simulation modelling for regional ecological-economic systems. A case study of the Republic of Armenia

Journal of machine learning and data analysis. 2016. Vol. 2. No. 1. P. 104–115.
Akopov A. S., Beklaryan A., Beklaryan L. A., Saghatelyan A. K.

In the article, actual problems of modeling of ecologic-economic systems on the example of the Republic of Armenia (RA) are considered. Based on methods of agent modeling and system dynamics the simulation model of ecological-economic system, which has allowed constructing the RA Ecological Map was created. The important purpose of the offered approach is search of scenarios of rational modernization of the agent-enterprises, which are the main sources of emissions of emissions with simultaneous definition of effective strategy of the government regulation. The bi-criterial optimization problem for the ecological-economic system of RA is formulated and solved with the help of the developed genetic algorithm

Research target: Computer Science Economics and Management Mathematics
Priority areas: management IT and mathematics business informatics
Language: English
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Keywords: имитационное моделированиемногокритериальная оптимизация system dynamics системная динамикаagent-based modelingsimulation modelingecological-economic systemэколого-экономическая системаmulti-objective optimizationагентно-ориентированное моделирование
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