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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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Условия моральной агентности: моральный агент, органический моральный агент, квазиморальный агент

Дискурс. 2023. Т. 9. № 4. С. 29–40.
Глебова С. В., Перова Н. В.

The concept of “moral agent” and its boundaries are not currently clearly defined. Given the connection between moral agency and moral responsibility, it seems necessary to introduce a clear definition of “moral agent”, as well as to differentiate the types of moral agency. The hypothesis of this article is that although the notion of a moral agent in itself is rather limited, there are a number of “borderline” groups, the definition of the status of which needs to be clarified.Methodology and sources. The article provides an ethical and philosophical analysis of approaches to the definition of a moral agency, a comparative analysis of the concepts of a moral agent and a moral subject, as well as approaches to determining the moral statuses of various “borderline” groups in the context of the works of J. MacMurray, A. Taylor, I. Kant, M Rowlands, J. Searle and others.Results and discussion. The article presents an analysis of the definitions of a “moral agent”, highlights the key features that make it possible to speak of a moral agency as an independent moral concept, as well as determine the conditions for the onset of moral agency. To differentiate the types of moral agents, the article introduces the concept of “limited moral agent” to denote the special status of children and the mentally ill. Evidence is provided that people belonging to these categories may have the status of a moral agent, although not to the extent that this status initially implies. As part of the definition of artificial intelligence as a “quasi-moral agent”, the key features of AI in the framework of moral communication between AI and a person are identified.Conclusion. Based on the analysis, the article proposes a number of requirements for a moral agency. Based on these requirements, it is proposed to distinguish such types of moral agency as a limited moral agent, including children and the mentally ill, as well as a quasi-moral agent, which is an artificially created agent, including artificial intelligence.

Language: Russian
Keywords: responsibilityавтономность моральный субъектавтогражданская ответственностьmoral subjectморальный агентmoral agentmoral actorморальный актор
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