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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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?

Organizational questions of ERM implementing in non-financial companies

P. 170–180.
Makarova V. A.

This article represents a practical model of risk management and internal control sys-tems integration within corporate governance structure. The provided model reduces the risk of duplicate management functions, minimizes bureaucracy and costs intensity of processes, motivates management to obtain results and covers all levels of company management. The ability to evaluate the management processes efficiency in relation to the main objectives of the company as well as the opportunity to control the management process at each level are distinctive features of the model.

Language: English
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Keywords: ключевые показатели эффективностивнутренний контрольinternal controlkey performance indicatorsкорпоративный риск-менеджментenterprise risk managementorganizational modelорганизационная модель

In book

Proceedings of MAC-MME (Multidisciplinary Academic Conference - Management, Marketing and Economics) 2016. International Conference
Proceedings of MAC-MME (Multidisciplinary Academic Conference - Management, Marketing and Economics) 2016. International Conference
Prague: MAC Praque consulting LTD, 2016.
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