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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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Финансовая поддержка социально ориентированных некоммерческих организаций в регионах России

Вопросы государственного и муниципального управления. 2021. № 2. С. 61–86.
Philippova A.

Currently, socially oriented nonprofit organizations (SO NPOs) in Russia are actively engaged in the process of social services provision. The support provided to them, including the financial support provided by the regional authorities, is extremely important for SO NPOs. This article describes the reasons why the state involves NPOs in social services provision and gives them support, and the advantages and disadvantages of NPOs in services provision. We analyze the size, structure and dynamics of financial support for nonprofit organizations at the regional level and factors related to the size of support, as well as the criteria for granting subsidies (one of the types of support). The criteria were analyzed based on the regional legislation of 52 regions of Russia. The analysis of the size, structure and dynamics of financial support was conducted on the data from registers of SO NPOs that received support of 43 regions of Russia for 2016–2018. Our analysis demonstrates an increase in the total amount of support and a significant intraregional and interregional differentiation in the size of support. Using the method of ordinary least squares, we found that the average per capita value of financial support provided to the SO NPOs at the regional level is positively associated with per capita regional budget revenues, the share of education expenditures in the total amount of regional budget expenditures and the quality of life in the region.

Research target: Political Science, International Relations, and Public Administration Economics and Management
Priority areas: economics state and public administration
Language: Russian
Full text
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Keywords: некоммерческие организацииsocial policyфинансовая поддержкарегионы Россиисоциальная политика в Россииregions of Russiafinancial supportNonprofit organizations (NPOs)Социально ориентированные некоммерческие организации (СО НКО)Socially oriented nonprofit organizations (SO NPOs)
Publication based on the results of:
The Monitoring of the state of civil society (Wave 16) (2021)
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