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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.
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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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Социальная ответственность бизнеса в контексте теории стейкхолдеров: взгляд российских исследователей

.
Danilova L.

The aim of the study is to consider the concept of social responsibility of business (further - SRB) from the perspective of the theory of stakeholders.

The methodological base of the study is the theory of stakeholders developed by R.E. Freeman, as well as the concepts of social responsibility of business considered by modern researches in relation to stakeholders («corporate egoism», «corporate altruism», «reasonable egoism»). The main method of the empirical research is a multivariate content analysis of 200 Russian publications on the issues of SRB for the period from 2013 to 2018.

The results of the study demonstrate that the state and society are identified as key stakeholders in the aspect of social responsibility of business by Russian researchers, and the contradictory nature of relations with them in the context of SRB is noted. It is concluded that despite the declared significance of all those concerned parties, in Russian realities organizations have the opportunity to satisfy the interests predominantly of key financial stakeholders.

The prospect of the study consists in a comprehensive understanding of the discourse around the issues of social responsibility of business in the circles of modern Russian researchers, including not only the aspect of stakeholders, but also such areas in the study of the SRB as the conceptual framework, assessment of foreign experience, standardization and reporting, etc.

Key words: social responsibility of business; stakeholder theory; stakeholders; state; society; employee.

Language: Russian
Full text
Keywords: обществогосударствоgovernmentработникиsocietysocial responsibilitystakeholder theoryсоциальная ответственность бизнесастейкхолдерыstakeholdersemployees

In book

Вестник ЮРГТУ (НПИ)
Т. 13. Вып. 5. , Южно-Российский государственный политехнический университет (НПИ) им. М.И. Платова , 2020.
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