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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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Определение эффективности государственных закупок

Вестник Тверского государственного университета. Серия: Экономика и управление. 2016. № 4. С. 72–76.
Кравцова М. В., Смородова А. А.

The article presents the basic concepts of the state procurement system of the RF, and offers the author’s term of efficiency of state procurement as the ratio of the achieved result to the expense of its achievement. There are shown the principles of state procurement, formed types of efficiency, it is precised the classification of indicators for definition the efficiency of state procurement. It is developed and justified the author’s method that will allow to estimate and increase the efficiency of state procurement at any stage of implementation of state order. The conclusion is that the author’s method contributes to raise the efficiency of state procurement, economical of budgetary funds that in the future can be used in the work of state authorities and customers.

Priority areas: economics
Language: Russian
Text on another site
Keywords: эффективностьefficiencyгосзакупкипоставщикзаказчикstate procurementscustomersupplierЭкономия бюджетных средствeconomical of budgetary funds
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