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Subject
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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Возможности оптимизации выбора контрагента по многим критериям в условиях неопределенности

С. 54–62.
Brodetskiy G., Gusev D., Shidlovskii I.
In press
Language: Russian
Full text
Keywords: многокритериальная оптимизациявыбор контрагентавыбор в условиях неопределенности

In book

Сборник трудов IV Международной научно-практической конференции «Цифровая трансформация промышленности: тенденции, управление, стратегии» (DTI-2022)
Институт экономики УрО РАН, 2022.
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In today’s inventory management, there is a need to optimize new models in order to select the best solution to ensure order fulfillment. These models must take into account various uncertainties, as well as the concept of time value of money. At the same time, it is important to note that in practice, appropriate solutions ...
Added: December 11, 2025
Optimization of Multi-Currency Deposit Structure by Two Indicators (Income and Risk) under Uncertainty
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A two-criteria vector optimization problem – finding Pareto-optimal solutions in linear systems with interval uncertainty of coefficients – is considered. The problem of resource allocation to multiple activities is investigated. The uncertainty-adjusted income is a bilinear function, linear by strategy under fixed uncertainty and by uncertain parameters under fixed strategy. Guaranteed income is a linear ...
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Research and developing methods of solving engineering optimization problems for parallel structure robots
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Added: November 11, 2020
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The article considers the problem of multi-criteria optimization of the state regulation of the quality of human capital in the information society. It describes human capital's dynamic by discrete model, taking into account the age dynamics of awareness and cognitive abilities of the individual as a carrier of information. Lifelong indices of human capital are ...
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