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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.
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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Методическая концепция развития навыков саморегуляции у студентов-музыкантов в классе вокала

Музыкальное искусство и образование. 2025. Т. 13. № 4. С. 73–91.
Ван Г., Торопова А. В.

Contemporary vocal pedagogy faces a complex set of methodological challenges that encompass not only the search for ways to improve technical vocal skills for the realization of artistic vision, but also the development of self-control and self-regulation in future singers, as well as the entire creative process. A successful artist cannot function without the ability to effectively manage their physical state, psychological balance, emotional state, and stress responses, as well as the cognitive processes of memory and imagination during performance. This article discusses the question of whether it is possible to foster a sustainable capacity for self-regulation and self-control in the academic and professional life of musicians and vocalists. Is it possible to integrate this capacity into the teacher's methodological approach to developing self-control skills in students not only on stage but also during lessons with a teacher, rehearsals, exam preparation, and performances at assessment events? Based on an analysis of scientific, methodological, and autobiographical sources, the authors clarify the key concept of “self-regulation of the learning process”. This, coupled with the skill of emotional self-regulation during academic, examination, and concert practice, essentially means developing a meta-ability for self-regulation of state and activity both in situations of onstage stress (situational) and in the longterm educational process (personal). The authors propose the rationale and content of their methodical concept for developing self-regulation of students in vocal classes, revealing proven approaches, principles, conditions, and methods of implementation, and substantiating criteria for evaluating its effectiveness.

Research target: Psychology Education
Language: Russian
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Keywords: саморегуляцияself-regulationvocal artSTAGE STRESSTYPES AND LEVELS OF SELF-REGULAвокальное искусствосценический стресстипы и уровни саморегуляции
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