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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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Глобальный демографический переход и фазы дивергенции – конвергенции центра и периферии мир-системы

Вестник Института экономики Российской академии наук. 2015. № 1. С. 149–162.
Korotayev A.

The 19th century saw an explosive growth of the gap between the “First” and the “Third” World as regards per capita incomes and levels of life that has become to be known as the “Great Divergence”. In the 20th century the Great Divergence continued up to the early 1970s, and then – in the late of the 1980s one could observe the beginning of the Great Divergence when the growth rates of the majority of the Third World countries started to exceed systematically the growth rates in the majority of the countries of the First World. We demonstrate that the dynamics of the gap between the First and Third World correlate in an unusually tight way with the dynamics of the world population growth. We also demonstrate that this correlation is not coincidental but reflects a very tight correlation between the phases of the global demographic transition and the phases of the Great Divergence / Great Convergence. The process of the Great Divergence that transforms rather smoothly into the process of the Great Convergence and the global demographic transition (that is the process of global modernization) can be regarded as different sides of a single process – a phase transition in the World System development – the global modernization process.

Research target: Earth Sciences Biology History and Archeology Computer Science Mathematics Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology Philosophy, Ethics, and Religious Studies Economics and Management
Priority areas: economics sociology humanitarian IT and mathematics mathematics
Language: Russian
Full text
Keywords: экономический ростмировая экономикаэкономическое развитиеeconomic developmenteconomic growthworld economydemographic transitionдемографический переходконвергенцияconvergencedemographic trendsдемографические тенденцииGreat DivergenceВеликая Дивергенция
Publication based on the results of:
Monitoring of risks of socio-political destabilization in the "Afro-Asian" zone of instability (2015)
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