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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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Proceedings of the 2020 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS).

IEEE, 2020.
Under the general editorship: S. O. Shaposhnikov

The IEEE Russia North West Section, Pastukhov State Academy of Industrial Management (Yaroslavl), and the European Centre for Quality (Moscow) are pleased to present the Proceedings of the 2020 International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS). The Conference was held in Yaroslavl, Russia on September 7-11, 2020, and it was proudly hosted by Pastukhov State Academy of Industrial Management. The Organizing Committee believes and trusts that we have been true to the spirit of collegiality that members of IEEE value whilst also maintaining a high standard as we reviewed papers, provided feedback and now present a strong body of published work in this collection of proceedings. The themes for this year's conference were chosen as a means of bringing together academics and industrialists, engineering and management research, manufacturing and teaching, and providing a basis for discussion of issues arising across the engineering and business community in relation to Quality Management, Information Technologies, Transport and Information Security aimed at developing engineers and managers for the future. The goal of these proceedings has been to present high quality work in an accessible medium, for use in a wide community of academics, engineers, managers, and industrialists, the community united by the key words Science, Education, Quality, Innovations in engineering. To achieve this aim, all papers submitted for publication in this journal of proceedings were subjected to a rigorous reviewing process.

Research target: Electronics and Electrical Engineering
Language: English
DOI
Text on another site
Keywords: teachingmanufacturingEngineeringManagement research
Proceedings of the 2020 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS).
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