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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
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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.
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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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Back to Nukes? Global Governance’s Transitional Moment

P. 73–86.
G. Flôres Jr R.

This chapter speaks of a transitional moment triggered by, among others, three forces: the slow decline of the global hegemon and the concentrating aspects of modern capitalism and science; simultaneously alienating segments of society, via income inequality; and groups of countries, by the asymmetric distribution of information processing capabilities. I venture that the transition will involve a more chaotic, dangerous period of poorer governance, in which the key feature will be a proliferation of states, either claiming a greater voice in world affairs or defying hegemonic intentions. The way to back such behaviour, and protect a disputed or menaced sovereignty, is to arm oneself with nuclear weapons. This would maintain and increase a state of flux in global governance (GG), beyond dominating and conditioning other transformations and processes—most importantly that of capitalism itself or its oft-predicted demise. If the hard times ahead do not lead to the end of the world, new forms of governance might eventually emerge. The transition would then have been concluded, and a new cycle could begin.

Language: English
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Keywords: nukes

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Global Governance in Transformation Challenges for International Cooperation
Springer, 2020.
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