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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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Траектории трансформации земельного покрова в зональных типах ландшафтов Индокитая

Известия Русского географического общества. 2019. Т. 151. № 4. С. 1–14.
Tretiachenko D., Климанова О. А., Банчева А. И., Алексеева Н. Н.

The article examines land cover dynamics in Indochina from 2001 to 2012 using MODIS Land Cover data. Geospatial land cover data, which objectively represent land surface characteristics, are widely used for small-scale landscape and ecosystem mapping. Indochina, selected for land cover transformation analysis, has experienced significant land use changes in recent decades due to rapid economic development, population growth, and a shift in the agricultural sector towards external markets. The study analyzes land cover changes across various zonal landscape types and elevation spectra. It was found that the density of changes varies among different landscape types, with the most significant transformations occurring in deciduous monsoon forests, semi-evergreen forests (in the sub-equatorial zone), and river valleys. The main trajectories of land cover change from 2001 to 2012 include: 1) expansion of cropland at the expense of forests, savannas, and grasslands; 2) likely increase in area for perennial plantations (rubber and oil palm); 3) forest degradation and savannization; and 4) fluctuations in land used for shifting cultivation. The commercial production of perennial cash crops became the primary driver of deforestation in the 2000s, with land clearing for these purposes potentially having a greater impact on forest cover than logging itself. The identified land cover change characteristics in Indochina provide a detailed understanding of transformation processes compared to their global typology.

Research target: Earth Sciences
Language: Russian
DOI
Text on another site
Keywords: землепользованиеИндокитайland useland coverназемный покровIndochina states
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