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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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Новый магнитный сверхпроводник стехиометрического состава EuRbFe4As4

Успехи физических наук. 2022. Т. 192. № 7. С. 790–798.
Ким Т. К., Перваков К. С., Власенко В. А., Садаков А. В., Усольцев А. С., Евтушинский Д. В., Юн С., В. М. Пудалов

In the new stoichiometric high-temperature iron-based superconductor RbEuFe4As4, superconductivity coexists
with a peculiar long-range magnetic order of the Eu 4f states; their coexistence is an enigma and a challenge for both experiment and theory. Using angle-resolved photoemission spectroscopy (ARPES), resonant photoemission  spectroscopy (ResPES), Andreev reflection spectroscopy, scanning tunnel-ing spectroscpy, and DFT band structure calculations, we have made significant progress in solving this puzzle. Our results unambiguously indicate a separation between the electronic states of Fe (superconductivity) and Eu (magnetism) and demonstrate the existence of superconducting and long-range magnetic orders almost independently of each other.

Research target: Physics
Language: Russian
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Keywords: высокотемпературный сверхпроводникhigh temperature superconductorsantiferromagnetsАнтиферромагнетики
Publication based on the results of:
Experimental and theoretical studies of quantum effects in low-dimensional systems (2022)
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