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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
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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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Intangible-driven value creation: supporting and obstructing factors

Measuring Business Excellence. 2014. Vol. 18. No. 3. P. 87–100.
Shakina E., Molodchik M.

Purpose: This study investigates the factors that support or obstruct market value creation through intangible capital.

Design/methodology/approach: We explore the impact of intangibles and exogenous shocks on corporate attractiveness for investors measured by Market Value Added (MVA). Specifically we analyse the relationship between intangible-driven outperformance of companies, measured by Economic Value Added (EVA) and a number of intangible drivers on macro-, meso- and micro- levels. We suppose that the process of value creation is not only confined to companies’ performances. Our empirical research was conducted on more than 900 public companies from Europe and US during the period 2005-2009.

Findings: Our study establishes that investment attractiveness is affected by intangibles. We found that a company’s experience, size and innovative focus facilitate value creation. An unexpected result was revealed concerning countries’ education level, which appears to be an obstructive condition for intangible-driven value creation.

Research limitations/implications: The study reveals the significance of industry belonging for intangible-driven value creation. Nevertheless, it does not discover the particular characteristics of industry that influence corporate attractiveness for investors. These issues could be addressed in future research.      

Practical implications: Our findings extend the understanding of the phenomenon of intangible capital and enable the improvement of investment decision-making.          

Originality/value: The study emphasizes the holistic framework of market value creation by analysing a number of strategic crucial factors in line with Economic Value Added.  

Priority areas: economics
Language: English
Full text
DOI
Keywords: value creationEmpirical study market valueeconomic value addedintangibles
Publication based on the results of:
The study of an intangible-intensive company’s behavior under uncertainty (2014)
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