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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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ПЕРСПЕКТИВЫ РАЗВИТИЯ РЫНКА ЭЛЕКТРОТРАНСПОРТА И ЗАРЯДНОЙ ИНФРАСТРУКТУРЫ В РОССИИ

СПб. : -, 2021.
Санатов Д. В., Абакумов А. М., Айдемиров А. Ю., Боровков А. И., Васеев И. Е., Гареев Т. Р., Годунова Е. А., Гумеров И. Ф., Кашин А. М., Клепач А. Н., Клявина М. П., Клявин О. И., Княгинин В. Н., Когогин С. А., Матасов М. В., Салкуцан С. В., Таршин А. Ю., Пономарев А. К., Финк П. П., Харитонов М. А.
Under the general editorship: А. И. Боровков, В. Н. Княгинин

The report is prepared by the group of authors, representing electric vehicle market stakeholder organizations consortium: Fund “Center for Strategic Research “North-West”, Saint-Petersburg Polytechnic University of Peter the Great, KAMAZ, Institute of Research and Expertise VEB.RF, Skolkovo Institute of Science and Technology, in partnership with Innovations and Youth Initiatives Support Foundation of Saint-Petersburg. The report provides evaluation of the current state of electric vehicle industry in Russia and abroad. EV market volume and dynamics are evaluated, market entering and significant market penetration measures for Russian EV and component production enterprises are provided. The review of Russian companies’ technical capabilities for EV production is provided and key directions for technology development are suggested. Market development factors are highlighted: electric transport influence on decarbonization and energy balance, consumer demand and EV ownership costs, cross-cutting technologies and markets, government policy. Based on the analysis of the Global and Russian experience, authors provide recommendations for policymaking concerning electric vehicles on the federal and regional levels.

Research target: Economics and Management
Language: Russian
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Keywords: российские компанииавтомобильный рынокэнергобалансэлектромобилидекарбонизацияТехнологическая готовность
ПЕРСПЕКТИВЫ РАЗВИТИЯ РЫНКА ЭЛЕКТРОТРАНСПОРТА И ЗАРЯДНОЙ ИНФРАСТРУКТУРЫ В РОССИИ
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