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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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Разработка системы управления запасами запчастей при осуществлении технического обслуживания

Логистика и управление цепями поставок. 2017. Т. 81. № 4. С. 81–88.
Zdorovenkova E.

This article presents an approach on the organization of spare parts inventory management for maintenance support using the Deming-Shuhart - PDCA principle, supplemented with Lean Methodology tools: SMART objectives, continuous improvement, “5 Why?” method, Ishikawa diagram. The approach includes the consistent alignment of the strategic spare parts management goal, coordinated with the overall maintenance strategy, spare parts inventory management system by database creation, spare parts inventory model development, delivery schedule agreement, business processes and KPIs development, plans implementation, results monitoring and follow-up actions adjustment. The information system is a basis for the effective spare parts management operation. Continuous improvement is provided by the possibility of constant movement through the PDCA cycle.

Priority areas: management
Language: Russian
Keywords: техническое обслуживаниеуправление запасамиkey performance indicatorsspare partsзапчастиinventory managementcontinuous improvementключевые показатели деятельностинепрерывное совершенствованиеmaintenance supportдиаграмма Исикавыspare parts management systemIshikawa diagramPDCAсистема управления запчастямиPDCA
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Added: October 26, 2022
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