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  • Скорость роста концентрации диоксида углерода в приповерхностном слое в конце ХХ века и начале XXI века
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News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Скорость роста концентрации диоксида углерода в приповерхностном слое в конце ХХ века и начале XXI века

Метеорология и гидрология. 2020. № 3. С. 95–99.
Semenov S., Кузовкин В. В.

The rate of change in the concentration of CO2 in the near-surface layer of the atmosphere at the end of the 20th century is considered. at different points in the geographic space. For the analysis, we used the series of mean monthly concentrations at the monitoring stations of the Global Atmosphere Watch network. Estimates of the average rate of increase in CO2 concentration and their standard deviations were obtained for 64 stations for two periods of time. It is shown that during the periods under consideration, the growth rate slightly changes with latitude, but at the beginning of the XXI century. practically for each station significantly exceeds the value noted at the end of the XX century. Thus, the acceleration of the growth of CO2 concentration is observed everywhere despite international efforts to limit global anthropogenic emissions.

Language: Russian
Keywords: concentrationконцентрацияcarbon dioxideДиоксид углеродаmonitoring stationrate of change in CO2 concentrationстанция мониторингаскорость изменения концентрации CO2
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