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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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Конкуренция по Курно и по Бертрану: выбор стратегической переменной на примере автомобильного рынка России

Современная конкуренция. 2015. Т. 9. № 6 (54). С. 52–62.
Levina E., Pokatovich E.

The paper analyzes oligopolistic competition in a market for a differentiated product. A comparative analysis of competition models by Cournot (output competition) and Bertrand (price competition) under prerequisites put forward by the authors shows that under Bertrand competition the price level will be lower. Whereas interrelation between firms output and profit is ambiguous (if goods produced are substitutes), and depend, other things being equal, on the attractiveness of the good offered by the firm. The results obtained are illustrated using Russia’s automotive market review. In particular, an attempt is made to classify some decisions made by car producers as the one or the other competition strategy analyzed in the theoretical part of the paper.

Research target: Economics and Management
Language: Russian
Full text
Keywords: продуктовая дифференциацияoligopolyавтомобильный рыноколигополияautomobile marketProduct differentiationконкуренция по БертрануBertrand modelCournot modelautomobile importконкуренция по Курноимпорт автомобилей
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