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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
‘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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"Добро пожаловать в клуб": положение женщин в советской науке 1920-х годов

Социологические исследования. 2019. № 2. С. 97–107.
Долгова Е. А., Streltsova E.

The paper is devoted to the position of women in science in the early soviet period, when several reforms were made to promote gender equality in this sphere. It was the first time in the country, women got an institutionally guaranteed opportunity to be professional researchers or teachers in universities. Empirically, the paper is based on archived data and uses the lists of female ‘research workers’ – residents of Moscow and Leningrad in the late 1920s – supplemented with the documentary materials on their social and demographic characteristics and positions in science and higher education. As a result of a statistical analysis of this information, the authors discuss the structure of the soviet female scientific (sub)community in the period critical for its development. Also they seek to determine whether the institutional changes have actually helped the inclusion of women in science, or just transformed ‘the stone walls’ into ‘the grass celling’.

Research target: Sociology (including Demography and Anthropology History and Archeology
Priority areas: sociology humanitarian
Language: Russian
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DOI
Text on another site
Keywords: научное сообществогендерное равенствоgender equalityscientific communitywomen in scienceженщины в наукеSoviet scienceсоветская наука
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