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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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Прогнозирование добычи нефти и газового конденсата в вычислимой модели денежного обращения российской экономики

Экономика и математические методы. 2017. Т. 53. № 2. С. 50–65.
Afanasyev A. A.

The author proposes a modification of a computable simulation model for money circulation in the Russian economy developed in the Laboratory of social simulation CEMI together with academician V.L. Makarov and researcher A.A. Losev due to disaggregation of a block “Oil and gas industry” agent on the two modified model block – a block “Exploration of oil and gas” and a block “Oil and gas production”. In this article we will explore a model related to the exploration and production of oil and gas condensate leaving development of similar models for natural and associated gas for the next study. For modeling of crude oil and gas condensate production, we decide to divide all the 144 Russian oil fields and oil production centers into five groups according to the level of oil production in 2014. On the basis of the model’s two sub-blocks of exploration and production of oil and gas condensate, designed to computable monetary economy of Russia, we forecast volumes of Russian oil and gas condensate production up to 2035 for five aggregated centers of oil production, the federal districts and Russia as a whole under the inertial scenario of economic development in 2014. Given values of internal oil prices, the rate of tax of oil extraction, price and rental rates for new fixed assets, other fixed costs in the production of oil, given at the 2014 level the calculations show a decrease in volumes of oil and gas condensate production in Russia by 5% for 2035.

Research target: Economics and Management Mathematics
Priority areas: economics IT and mathematics
Language: Russian
Text on another site
Keywords: российская экономикаRussian economyforecastingпрогнозированиегеологоразведкаcrude oil and gas condensate productioncomputable simulation model for money circulationoil fieldsexplorationдобыча нефти и газового конденсатавычислимая модель денежного обращениянефтяные месторождения
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