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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
‘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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Индустрия 4.0: перспективы и вызовы для общества

Государственное управление. Электронный вестник. 2017. № 60. С. 197–215.
Yudina M.

The article is devoted to the concept of the fourth industrial revolution and its place in sociological discussion about the modern society. The basics of “Industry 4.0” are: interoperability, virtualization, decentralization and real-time work. Cyber-physical systems, cloud computing and big data, the Internet of things becoming more and more popular in business, along with vertical and horizontal integration, virtualization and digitalization of the whole value chain production. Many developed countries and the business leaders are active participants in the fourth industrial revolution: there are state programs, commercial enterprises and non-profit organizations, which have one main goal: the elimination of all barriers to the creation of “Industry 4.0”. But in its quest to maximize profits, to be the first on the market with the latest technological solutions, corporations as well as the governments tend to underestimate the possible negative social consequences of the new stage of technical progress. Displacement of humans by robots and programs in production process, inflation of diplomas, the general decline of human values and fundamental changes in the understanding of human nature itself - that is only an incomplete list of problems provoked by the coming fourth revolution. The paper shows the need to predict the social consequences of the introduction of new technologies for risk management, a competent expert response to modern challenges and for coordinated work of the society and the state for the benefit of man in the rapidly cyberneticizing world.

Research target: Social Sciences Economics and Management Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: информационное обществоинформационно-коммуникационные технологиивиртуализацияискусственный интеллектinformation societyinformation and communication technologies (ICT)virtualizationtechnological risksтехнологические рискисетевое обществоartificial intelligenceкиберфизические системысоциальные вызовыcyber-physical systemsИндустрия 4.0. четвертая промышленная революцияIndustry 4.0BIOTECHNOLOGY REVOLUTIONSOCIAL CHALLENGESOBJECTUALIZATIONБИОТЕХНОЛОГИЧЕСКАЯ РЕВОЛЮЦИЯтехногенные рискиобъектуализация
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