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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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Сетевые эффекты при внедрении системы бережливого производства

Управленец. 2017. № 4 (68). С. 14–23.
Dolgopyatova T. G., Шиляева Е. В.

The article is dedicated to the investigation of network effects arising in the process of implementation the lean manufacturing system. The study focused on the development of the lean manufacturing in Russian machine-building and metallurgical companies: based on in-depth study of the system implementation process in Public Joint-stock Company (PJSC) KAMAZ, cases for several metallurgical companies and empirical research of a large sample of enterprises. Received network effects, which differ in origin, direction of action and scope of action, are discussed.

Research target: Economics and Management
Priority areas: management
Language: Russian
Full text
Text on another site
Keywords: система управлениябережливое производствоlean productionmanagement systemсетевые эффектыNetwork effectsконкурентоспособность промышленного предприятияthe competitiveness of an industrial enterprise
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