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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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Çevresel Kuznets Eğrisi Hipotezinin Sektörel Analizi: OECD Ülkeleri Örneği

Journal of Emerging Economies and Policy. 2021. Vol. 6. No. 1. P. 124–136.
Sedat Alataş

The main purpose of this study is to investigate the validity of the environmental Kuznets curve (EKC) hypothesis in the OECD countries at the sectoral level. We cover five different sectors: power industry, buildings, transport, other industrial combustion, and other. We conduct our empirical analysis for the 28 OECD countries over the period 1971-2018 by using the cointegration tests and mean group estimators. The results reveal that the income-environment nexus varies across sectors. The EKC hypothesis is valid for the power and transport sectors, but not for the buildings, industrial combustion, and other sectors. In other words, the income has an inverted U-shaped impact on environmental degradation only for the power and transport sectors. The effect of urbanization on sectoral emissions is negative for the industry, other, and transport sectors. While energy consumption positively affects sectoral emissions, the effect of globalization on emissions is positive only for the energy sector.

Research target: Economics and Management
Language: Turkish
Text on another site
Keywords: OECDDynamic Panel DataSectoral EmissionsEKC hypothesis
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