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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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Интеллектуальная система управления скрытыми труднодоступными группами населения

Проблемы безопасности и чрезвычайных ситуаций. 2013. № 1. С. 96–112.
Bolotova L. S., Сорокин А. Б.

This article discusses features of the management system of hidden hard to reach populations. For a basis of modeling of management process the hidden hard to reach groups of the population took group of consumers of injecting drugs. The main problem which the system has to solve it is deter-mination of number of consumers of injecting drugs, development of operating influences and as-sessment of the situation in the controlled environment. For the solution of these tasks mathematical methods, cognitive modeling and the device of fuzzy logic are used.

Priority areas: IT and mathematics business informatics
Language: Russian
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Keywords: онтологиясистема управлениянейронные сетиметоды оптимизацииontologyhidden hard to reach populations.hybrid intelligent systemsгибридные интеллектуальные системыcontrol systemmethod of double coverageскрытые труднодоступные группы населенияпотребители инъекционных наркотиковметод двойного охватаgeographic information systemsfuzzy expert systemsoptimization techniquesгеографические информационные системынечеткие экспертные системы
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A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
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