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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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Targeting on Innovation: Potentials and Limits of Entrepreneurial Universities

Ch. 15. P. 319–327.
Meissner D., Erdil E.

Innovation has become a frequently quoted and lived central missions of universities. This book demonstrates however that the mission is not constant. New challenges and opportunities emerge at different moments in history and there are currently a number of important strategic orientations that universities need to consider and balance. Universities face the challenge to balance their different activities and missions in order to ensure sustainable impact on innovation ecosystems at different levels. The authors argue that entrepreneurial universities as we know them today will change their thinking and activities from being purely demonstrable impact driven towards an activity portfolio approach. The latter considers ongoing institutional and governance change paired with a selected number of activities which provide demonstrable and visible impact but also continuing to invest into the free mind blue sky driven work typical for such institutions. Even beyond this the entrepreneurial university features risk taking by means of a research and innovation friendly internal climate and organization which is driven by rigor but not administration and performance indicators.

Language: English
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Keywords: фундаментальные исследованияинновацииinnovationacademic freedomакадемическая свободагосударственное вмешательствоEntrepreneurial universityпредпринимательский университетgovernment interventionbasic research

In book

Innovation and the Entrepreneurial University
Innovation and the Entrepreneurial University
Springer, 2018.
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