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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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Методология организационного проектирования в логистике и SCM

Логистика и управление цепями поставок. 2016. № 6. С. 57–68.
Sergeyev V., Dybskaya V.

In the article the actual problems and the methodology of organizational structure design by companies, which target Russian market, in terms of logistics and SCM departments formation are considered. The classification and main characteristics of organizational structures as well as comparative analysis of hierarchic and adaptive types are given.

Key features connected with logistic and supply chain management (SCM) departments design in the companies’ organizational structures are reflected. It is shown that organizational structure development by the logistics should be initiated by the strategy and key logistic business processes, while the logistics (SCM) department design is connected with the decision-making process concerning specialization, departamentalization, department size and delegation of authority by company’s top management. The model of company’s logistics department organizational structure design is given. It is demonstrated that the organizational design evolution in logistics and SCM is closely related with logistics development.

The main research methodology aspects of logistics and SCM departments organizational design with a foundation of systematic approach (analysis), economic cybernetics methods, operation research, mathematical statistics, decision theory and SCM theory are given. The investigation problem statement for logistics and SCM organizational design evolution in Russian companies is given.

Research target: Economics and Management
Priority areas: management
Language: Russian
Full text
Keywords: логистикауправление цепями поставокметодологияорганизационная структура управления снабжениемmethodologyorganizational structureorganizational designорганизационное проектирование logistics supply chain managementdepartamentalizationдепартаментализация
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