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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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‘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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Knowledge Management in Organizations. 14th International Conference, KMO 2019, Zamora, Spain, July 15–18, 2019, Proceedings

Vol. 1027. Switzerland : Springer, 2019.
Under the general editorship: L. Uden, I. Ting, J. M. Corchado

This book contains the refereed proceedings of the 14th International Conference on Knowledge Management in Organizations, KMO 2019, held in Zamora, Spain, in July 2019. 

The 46 papers accepted for KMO 2018 were selected from 109 submissions and are organized in topical sections on: knowledge management models and analysis;  knowledge transfer and learning; knowledge and service innovation; knowledge creation; knowledge and organization; information systems and information science; data mining and intelligent science; social networks and social aspects of KM; big data and IoT; and new trends in IT.

Chapters
The Topics Dynamics in Knowledge Management Research
Zelenkov Y., , in: Knowledge Management in Organizations. 14th International Conference, KMO 2019, Zamora, Spain, July 15–18, 2019, ProceedingsVol. 1027.: Switzerland: Springer, 2019. P. 324–335.
The intellectual structure of academic discipline can be viewed as a set of interacting topics evolving over time. Dynamics of those topics i.e. changes in their popularity and impact is the subject of special attention because it reflects a shift in actual researchers’ interest. This paper analyzes topics of knowledge management (KM) on the base ...
Added: June 14, 2019
Research target: Computer Science
Priority areas: management IT and mathematics
Language: English
DOI
Text on another site
Keywords: semanticsontologiesInternet of Things (IoT)artificial intelligenceKnowledge-Based Systems
Knowledge Management in Organizations. 14th International Conference, KMO 2019, Zamora, Spain, July 15–18, 2019, Proceedings
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