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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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Взаимосвязь колебаний уровня безработицы и производственного травматизма в России

Вопросы экономики. 2024. № 2. С. 145–158.
Zazdravnykh E., Rodionova T.

This study aims to reveal how growth or decline in the rate of unemployment determines occupational injuries in Russia. Based on the regional statistics from 2009 to 2021 with the help of linear panel models we estimate the relationship between the rate of unemployment and fatal or non-fatal occupational injuries rates. The results show that when the economy is decreasing employees or employers prefer to underreport workplace accidents. This effect is especially strong in conditions of rising unemployment due to the release of workers, layoffs or liquidation of enterprises. At the same time, the fluctuations of unemployment do not change the fatal accidents; that is, injuries per se do not have a cyclical behavior. Thus, though there is a decreasing trend in the rate of occupational injuries in Russia, there is a problem of underreporting of accidents as we observe in high-income economies.

Research target: Economics and Management
Language: Russian
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DOI
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Keywords: безработицаохрана трудаunemploymentрегионы Россииregions of Russiaтравматизмoccupational safetyinjuriesнесчастные случаиaccidents
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