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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.
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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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Маркетинговые практики как фактор формирования доверия к бизнесу в России: результаты исследования потребителей поколения Z

С. 310–329.
Головачева К. С., Rebiazina V. A., Смирнова М. М.

The study aims to defi ne the role of various marketing practices of companies
operating in building broad-scope trust toward business in Russia. The results of
an online survey among generation Z consumers demonstrate that consumers give a
relatively higher rating to such aspects of marketing practices as product quality and
retailing, while pricing and advertising practices received the lowest rating. About half
of the respondents expressed their trust toward business. Besides, a positive evaluation
of pricing, product quality, and retailing contribute to the consumer trust toward
business, while after-sales service and advertising do not have a signifi cant impact on
broad-scope trust. The results do not diff er among consumers with diff erent sex,
income, and educational level, that indicates the homogeneity of the examines sample
of generation Z consumers. Extant results can be used to form a market policy
implemented at the level of both the state and self-regulatory professional associations,
which is aimed at improving the “lagging” aspects of marketing practice to improve
an economic and social well-being in the society.

Language: Russian
Full text
Text on another site
Keywords: маркетинговые практики marketing practicesпоколение zgeneration Zconsumer sentiment toward marketing practicestrust to businesssocio-demographic characteristicsоценка маркетинговых практик потребителямидоверие к]бизнесу
Publication based on the results of:
Повышение конкурентоспособности российских компаний-производителей продуктов питания за счет повышения уровня ориентации на бренд (2019)

In book

Маркетинг сотворчества и глобальные коммуникации доверия
Багиев Г. Л., Юлдашева О. У., Шубаева В. Г., Кетова Н. П., Натхина М. В., Маслобоева О. В., Матковская Я. С., Молчанов Н. Н., Рыбакова Ю. В., Азоев Г. Л., Карпова С. В., Устинова О. Е., Рожков И. В., Конникова О. А., Конников Е. А., Омарова Н. Ю., Светуньков С. Г., Яненко М. Б., Яненко М. Е., Афанасенко И. Д., Борисова В. В., Костин К. Б., Березовская А. А., Мелентьева Н. И., Татаренко В. Н., Руденко М. Н., Грибанов Ю. И., Фирсанова О. В., Байков В. Г., Будрин А. Г., Солдатова А. В., Головачева К. С., Rebiazina V. A., Смирнова М. М., Наумов В. Н., Домнин В. Н., Попова Ю. Ф., Бушуева Л. И., Fiedler M., Kissling M., Fritz W., Горянская Е. Д., Аренков И. А., Бичун Ю. Н., Маслова Т. Д., Божук С. Г., Смирнова Д. В., Омаров М. М., Афанасьева Е. С., Соловьева Ю. Н., Халина Е. В., Белостоцкая А. А., Занина Н. А., Окольнишникова И. Ю., Салихова Я. Ю., Лизовская В. В., Веревкин А. И. СПб.: Издательство Санкт-Петербургского экономического университета, 2020.
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