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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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ENERGY INDUSTRY: EFFECTIVENESS FROM INNOVATIONS

International Journal of Energy Economics and Policy. 2018. Vol. 8. No. 4. P. 83–89.
Kosov M., Akhmadeev R. G., Smirnov D. A., Solyannikova S. P., Rykova I. N.

Putting the energy industry on the way of innovations is a task of utmost importance, whose success will shape up future development and competitiveness of emerging economies to a great extent. Research of the main trends of innovative development of distributed generation demonstrated that they are characterized by high spending both on installation of innovative power equipment and on its creation. Our research of financing in the Russian distributed energy and power engineering demonstrated that the bulk of capital investment is done from companies’ own funds, which points to the unaffordability of other funding instruments, credit included.  Consequently, the process of creating and using innovations in distributed energy is accompanied by significant investment risks. This scientific research offers an approach to innovations in distributed energy based on coordination of economic interests of innovation process subjects with the aim of optimizing the task of looking for a threshold price through defining and comparing the effectiveness of a novelty for its creators, consumers and the state with the help of an internal rate of return. The use of a business approach to the introduction of innovations in the distributed energy will coordinate the interests of the producer of innovative equipment and the energy company. Such an approach will ensure co-financing of innovation research and development of all subjects of the relations.

Priority areas: economics
Language: English
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Keywords: economytaxationcapital investment energy efficiencyheat energyinnovation processespower energypower equipmentdigital information
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