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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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Установки по отношению к домашнему насилию: категории отношения, измерения, предикторы и последствия

Современная зарубежная психология. 2025. Т. 14. № 4. С. 77–86.
Ananyeva O. A.

Context and relevance. Domestic violence (DV) is a global problem that worsens during social crises and international conflicts, especially in countries that lack legislative protection against DV, including Russia. Public opinion polls show that Russians agree that DV is a serious problem, but disagree on whether Russian society needs to adopt a law on DV prevention. Low willingness to support legislative initiatives to protect the population from DV may be associated with attitudes towards DV. Objective. To analyze and summarize results of modern foreign research on measurements, predictors and consequences of attitudes towards DV. Research question. What categories of attitudes towards the problem of DV, predictors and consequences of attitudes towards DV are distinguished in the modern research field? Methods and materials. Theoretical analysis of foreign publications in the Web of Science, Scopus, PsycINFO databases over the past 5 years. Results. Categories of attitudes towards DV include legitimation, acceptability, attitudes towards intervention, and perceived severity. The predictors and consequences of attitudes towards DV are presented. Conclusions. Classification of different attitudes’ categories is necessary for studying psychological mechanisms hindering or facilitating positive change in the fight against domestic violence.

Research target: Psychology
Language: Russian
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Keywords: установкиattitudesнасилиепоследствияизмеренияviolenceconsequencesдомашнее насилиеmeasurementsdomestic violencepredictorsпредикторы
Publication based on the results of:
The diversity of forms, effects and barriers to integration of modern Russian society in synchronic and diachronic dimensions (2025)
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