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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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Medicine on Russian-Language Social Media

Ch. 30. P. 350–360.
Karpova Y., Vasilyev P.

This article focuses on the Russian case as leading in global blogging about evidence-based medicine (EBM). We suggest that before February 2022 Russophone bloggers represented the growing trend in medical communication. Since the mid-2010s, Russian-speaking physicians from Ukraine, Belarus, and Russia started launching educational pages with the twin aim of educating the public and discussing new research and clinical guidelines with their colleagues. These pioneers were the employees of private clinics that promoted EBM (translated into Russian as dokazatel’naia meditsina, literally ‘proof-based medicine’) as opposed to clinical practice based on the authority of Head Physicians. In addition, dokazatel’naia meditsina emerged as an antidote to a range of alternative medical practices – from ‘folk’ treatments going back to the preindustrial past or invented in the twentieth century, to cleansing marathons and fad diets promoted by fitness guru. Medical bloggers often unite these diverse practices in the Russian term mrakobesiie (‘obscurantism’). The characteristics ‘klinika dokazatel’noi meditsiny’ (‘evidence-based medicine clinic’) and ‘dokazatel’nyi vrach’ (‘evidence-based physician’) became central in medical social media. ‘Evidence-based’ private clinics chose socia media platforms to present their progressive approach to healthcare, and the administration encouraged the employees to launch personal pages in addition to the clinics’ corporate pages. Doctors' individual pages appeared as advancing the public image of their employers. Then some doctors from public healthcare sector followed suit.

Language: English
Keywords: доказательная медицинаRunetрусскоязычный интернетevidence-based medicinemedical bloggingмедицинские блоги

In book

The Rowman & Littlefield Handbook of Bioethics
Lanham: Rowman and Littlefield Publishers, 2022.
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