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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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Нейропсихологическая диагностика и реабилитация пациентов с нарушениями регуляторных (управляющих) функций при поражениях головного мозга различной этиологии

Национальный психологический журнал. 2023. Т. 18. № 4. С. 63–77.
Баулина М. Е., Григорьева В., Varako N. A., Зинченко Ю. П., Ковязина М. С., Микадзе Ю. В., Skvortsov A., Фуфаева Е. В.

Background.

Disorders of regulatory (control) functions are often observed in neuropsychological practice in brain le-

sions. This fact determines the high practical significance of timely neuropsychological diagnosis and rehabilitation for

this category of patients. Daily functioning with impaired regulatory (control) functions is carried out in conditions of

limited capabilities of the patient, which significantly worsens the quality of his/her life and the social well-being of the

family. Realisation of the patient’s rehabilitation potential is impossible without taking into account psychological and be-

havioural features, as well as organising a partnership with the immediate social environment and with a multidisciplinary

team of specialists.

Objective.

The article aims to analyse and generalise diagnostic and rehabilitation experience accumulated in neuro-

psychology, as well as to develop quality criteria for neuropsychological diagnostics and rehabilitation of patients with

disorders of regulatory (control) functions arising from brain injuries.

Results.

The analysis of applied research and practical manuals was carried out. On this basis, recommendations on diag-

nostics of regulatory (control) function disorders were developed. The main methodical techniques of rehabilitation work,

which demonstrated their effectiveness, were generalised.

Conclusion.

The criteria of neuropsychological assistance highlighted in the article can be recommended for use by a

practicing clinical psychologist when working with patients with disorders of control functions resulting from brain dam-

age.

Research target: Psychology Health Studies
Language: Russian
Full text
DOI
Text on another site
Keywords: нейропсихологияneuropsychologyнейропсихологическая реабилитацияclinical psychologyneuropsychological rehabilitationрегуляторные функциинейропсихологическая диагностикаклиническая психологияregulatory (control) functionsneuropsychological diagnostics
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