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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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Методы редукции параллелизма в процессе высокоуровнего синтеза цифровых интегральных схем

Программная инженерия. 2022. Т. 13. № 6. С. 259–271.
Романова Д. С., Непомнящий О. В., А. И. Легалов, Рыженко И. Н., Сиротинина Н. Ю.

The problems and solutions in the field of ensuring architectural independence and implementation of digital integrated circuits end-to-end design processes are considered. The paper focuses on the need to find a solution to the problem of program portability during the development of integrated circuits. A review of the main software and tools used to design digital circuits (Verilog, System-C, Handel-C, Lava, Hydra, Wired, COLAMO, Chisel and etc.) is presented. The method and language of parallel programming for functional flow synthesis of design solutions PIFAGOR is presented. The example of the source and generated code in the PIFAGOR and Verilog languages is given. During the method implementation, the tasks of reducing parallelism and estimating the occupied resources were highlighted. The main feature of the developed method is the introduction of the additional layer (HDL graph) into the synthesis process. Algorithms for the parallelism reduction have been developed. This method is demonstrated on the example of parallelism reduction while going to the FPGA platform solving the problem of calculating a 4-point FFT (Fast Fourier Transform). As part of the solution of this task, an assessment of memory resources and an assessment of computing resources were carried out. The results of software tools development for design support including the parallelism reduction preprocessor and resource estimation preprocessor and practical VLSI projects are presented.

Research target: Computer Science
Language: Russian
DOI
Text on another site
Keywords: алгоритмпрограммаИнтегральная схемаВысокоуровневый синтезintegrated circuitshigh-level synthesisparallel computing modelfunctional-dataflow languageмодель параллельных вычисленийфункционально-потоковый язык
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