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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.
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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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Simulation of quality level dependence of human-machine system on the parameters of the operator labor organization

P. 410–414.
Alexander N. Varnavsky

Dependence of the integral evaluation of the human-machine system quality from the parameters of the operator labor organization is modeled based on a simulation model. The simulation model describes employee activities in the form of sequences of work and rest intervals. It is obtained the family of dependencies curves of private quality indicators and integrated assessment of the human-machine system quality from the number of rest intervals at different values of the initial work activity, the intensities of fatigue and recovery of operator.

Language: English
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DOI
Keywords: quality indicators simulation modelintensity of fatigue

In book

2016 5th Mediterranean Conference on Embedded Computing, MECO 2016 - Including ECyPS 2016, BIOENG.MED 2016, MECO: Student Challenge 2016
IEEE, 2016.
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