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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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Адаптация и развитие производителей молока в новых экономических условиях

Молочное и мясное скотоводство. 2020. № 6. С. 3–7.
Pajurova E., Суровцев В. Н.

The article analyzes the problems in the Russian milk and dairy products market in the context of the global economic crisis. An assessment of new opportunities and threats to the development of the industry was carried out: on the part of consumers – rising food prices, lower incomes; from the perspective of dairy producers –  reduction in purchase prices, increased requirements for raw materials for the production of products with extended periods, labor shortages, the likely reduction in state support as a result of lower prices for hydrocarbons, attempts to regulate prices; on the part of processing enterprises – reduction of demand, reduction of prices for finished goods following world prices. The investment priorities in dairy cattle breeding and the main forms of improving state support for the industry, ensuring the effective adaptation of milk producers to new economic conditions, increasing the sustainability of the industry with increasing macroeconomic risks, are substantiated.

Research target: Livestock and Dairy Farming Agriculture, Forestry, and Fisheries
Priority areas: economics
Language: Russian
DOI
Text on another site
Keywords: state supportdairy farmingagricultural exportsгосударственная поддержка аграрного сектораагропродовольственный экспортмолочное скотоводствоCOVID-19 pandemicпандемия COVID-19
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