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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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Introduction to the Special Issue on “The Human Being in the Digital World”

Informatica. 2012. Vol. 36. No. 2. P. 119–120.
Fomichov V. A., Fomichova O. S.

The paper is an introduction to the Special Issue of the international scientific journal Informatica (Slovenia) on the problems of the human being in the digital world. The authors of the papers from Croatia, Italy, Mexico, Poland, Romania, and Russia look for constructive ways of contributing to harmonic development of the personality in modern information society. The common feature of the papers is that they either relate to the new scientific discipline called Cognitonics or correspond to its goals.    Cognitonics emerged in the first half of the 2000s. It   aims (a) at explicating the distortions in the perception of the world caused by the information and communication technologies and globalization and (b) at coping with these distortions in different fields by means of elaborating systemic solutions for compensating the negative implications of the kind for the personality and society, in particular, for creating cognitive-cultural preconditions of the harmonic development of the personality in the information society and for ensuring the successful development of national cultures and national languages.

 

 

Research target: Computer Science Psychology Sociology (including Demography and Anthropology Education Philosophy, Ethics, and Religious Studies
Priority areas: sociology humanitarian mathematics
Language: English
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Keywords: информационное обществоинформационно-коммуникационные технологииглобализациясоциология культурыкогнитоникачеловек в информационном обществеinformation societyпсихология личностиglobalilzationcognitonicsanalysis of negative changes in the development of personality and societycreating cognitive-cultural preconditions of the harmonic development of the personalityensuring successful development of national cultures and national languagesгармоничное развитие личностианализ негативных изменений в развитии личности и обществаобеспечение успешного развития национальных культур и языковкогнитивно-культурологические предпосылкисбалансированное развитие личностикультура и личностьсоциальные нормы и ценноститеория дополнительного образованияпроцессы социализациивоспитание в общеобразовательной школемодели восприятия информации в интеллектуальных системахмассовые формы внеколлективного поведения
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