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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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Принудительная фотометрия объектов обзора Pan-STARRS1 по данным обзора WISE

Письма в Астрономический журнал. 2022. Т. 48. № 3. С. 167–176.
Буренин Р. А.

We discuss the technique and results of photometric measurements based on data from the WISE infrared survey for all Pan-STARRS1 objects under the assumption that the object coordinates are known (``forced'' photometry). The photometry has been performed by taking into account a complete point spread function model and a refined background model in the WISE survey. The fluxes or upper limits on the flux in the 3.4 and 4.6  μμ m bands have been measured for more than three billion optical objects in the northern sky at declinations  δ>−30∘δ>−30∘ . These measurements will be used to identify galaxy clusters, active galactic nuclei, and quasars in the all-sky surveys of the eROSITA and Mikhail Pavlinsky ART-XC telescopes onboard the Spektr-Roentgen-Gamma space observatory.

Research target: Physics
Language: Russian
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Keywords: sky surveysобзоры небаphotometryфотометрия
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