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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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Задача динамического регулирования потоков воздушного движения задержками вылетов воздушных судов

Труды ГосНИИАС. Серия: Вопросы авионики. 2018. № 2(35). С. 39–53.
Gabeydulin R.

The paper presents a brief introduction to the air traffic flow management problem, describes main terms, rules and also describes the main approaches for solving the problem. Author describes how flow management systems work in Europe, USA and in the Russian Federation. Author proposes a fast greedy algorithm for solving flow management problem defined in dynamic deterministic statement

Research target: Construction Mechanics and Mechanical Engineering Effective Natural Resource Management Computer Science
Priority areas: IT and mathematics engineering science
Language: Russian
Keywords: математическое моделированиеоптимизацияoptimizationComputer modelling and simulationair traffic managementорганизация потоков воздушного движения
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