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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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Гендерное равенство как фактор профессиональной карьеры в сфере науки и технологий

Мир России: Социология, этнология. 2021. Т. 30. № 2. С. 98–122.
Popova I. P.

The characteristics of professional careers in the field of science and technology are examined here from the viewpoint of gender equality and justice in employment. Our analysis of career research in this field is based on approaches that focus on the structural conditions and contexts of career formation (here we analyze the data up to March 2020). Modern programs and initiatives in science and technology recognizing gender equality in professional careers at national and international levels are becoming one of the factors of these conditions. In this context, approaches that justify gender equity (the capabilities approach), and issues of positive discrimination in relation to employment and professional advancement in this area are utilized. We analyze the aspects of managing a scientific career, which, in the biographical narratives of scientists, are recognized and reconsidered as manifestations of gender inequality in the experience of familiarization with programs within the policy of gender equality in scientific activity. The analysis is based on narrative-biographical semi-structured interviews with scientists in the field of natural sciences (N=40, 2018-2019). Assessments of the manifestations of gender inequality pertain to employment, role distribution within a team in accordance with informal norms, and the balancing of professional and family roles. We conclude that with regard to gender inequality in employment in the science, the manifestations of which often go unnoticed, creating opportunities for their examination and assessment by the scientists themselves is relevant and should be regulated by scientific policy instruments. Institutional support for gender equality should happen in conjunction with support for the status and prospects of Russian science in general.

Research target: Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: справедливостьscience and technologyнаучная политикагендерное равенствогендерgender equalityпрофессиональная карьераjusticeprofessional career genderнаука и технологиипозитивная дискриминацияscience policypositive discriminationисследования карьерыcareer studies
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