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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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The Population-Selection Model of Organization Development and the Scope of its Application

Studia Zarządzania i Finansów (The WSB University in Poznan Studies in Management and Finance) (Польша). 2018. No. 15. P. 57–78.
Vyacheslav Shcherbina, Elena Popova, Sadovnicova L.

The article is devoted to underlying causes and conditions and the content of the
theoretical model of organizational development, which is either a “population-selection version of
organizational ecology” or “a population-selection model of development.” The model was created
by sociologists within the framework of the organization theory. The presentation of a nontrivial explanatory
scheme of the process of organizational development, its prognostic opportunities, scope
and mechanisms that support the development process are the focus of this article. The authors
explain the origin of the model by the crisis of systemic representations in the organizational theory
and the rejection of these representations. They also discuss problems that stimulated the emergence
of this approach, as well as the prospects for its application in management and beyond.

Research target: Economics and Management Sociology (including Demography and Anthropology
Priority areas: sociology management
Language: English
Full text
Text on another site
Keywords: environmentorganizational developmentstructural changesecological (resource) nichesniche widthorganization repertoirefocus perspectivepopulation perspectivestructural inertia
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