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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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Technology-Intense Service Offerings in the Light of Economic Complexity: Establishing a Holistic Service Ecosystem

Foresight and STI Governance. 2023. Vol. 17. No. 1. P. 7–17.
Belousova V., Chichkanov N., Grigoriy Gashnikov, Krayushkina Z., Thurner T.

Crisis situations, like the COVID-19 pandemic, have historically been identified as times of enhanced innovation and entrepreneurial activities. Innovation actors are required to respond quickly to a new situation bearing in mind the effects of actions across their network of partners and competitors as well as rising economic complexity. Indeed, first indications suggest that this pandemic is no different and has facilitated the use of digital technologies. In order to assess these developments, this paper studies new service offerings based on digital technologies using the example of three major Russian banks. We found that banks have now developed into technology platforms that use their experience to engage in areas like education, advanced robotics, and health care. Technologies developed by partner organizations, such as the integration of blockchain solutions, have spread rapidly.  Thereby, banks have obtained a strategic advantage for launching innovations in the financial industry, including technology and knowledge transfers from other industries.

Research target: Economics and Management
Language: English
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Keywords: банковский сектортехнологические платформысервисные инновацииbankingдиверсификацияdiversificationservice innovationsцифровизацияeconomic complexityфинтехантикризисные стратегииdigitalizationfintechэкономическая сложностьCOVID-19technological platformsCOVID-19anti-crisis strategiesservice offeringsпредложение услуг
Publication based on the results of:
Study of the possibilities of adaptation of the innovation actors to changes in the external environment: institutional, personnel and social aspects (2023)
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