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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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Exploring corporate venture capital investments in clean energy—a focus on the Asia-Pacific region

Applied Energy. 2023. Vol. 334. Article 120677.
Kolte A., Festa G., Ciampi F., Meissner D., Rossi M.

Climate change has been posing an increasing threat to the planet at the environmental and economic levels, and the rise of clean energy (CE) is ever more fundamental for ensuring a qualified alternative for the energy mix, attracting the financial interest of different investment entities. In this respect, the significance of corporate venture capitalists (CVCs) has been on a steady rise for every sector, even for CE, since the 1990 s, and it is shaping up to become a major force behind the worldwide innovation. The aim of this research is to investigate the essential profiles about the phenomenon regarding CVCs that are active in CE, with a focus on the Asia-Pacific (APAC) region, to understand how they act in pursuing their strategic intention. The specific contribution of this study, which adopts a quantitative approach to operate a descriptive analysis on the dynamics operating in the context under investigation by combining relating data from several institutional databases, is to provide a scenario analysis with explorative intention that may define the main characteristics, roles in innovation, and growing participation of CVCs in the CE sector, especially in the APAC area.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: clean energyrenewable energyCircular economycorporate venture fund (CVC)Corporate venture capitalistsAPAC
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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