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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.
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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.
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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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Fashion Communication: Proceedings of the FACTUM 21 Conference, Pamplona, Spain, 2021

Issue 1. Springer, 2021.
Under the general editorship: T. Sádaba, N. Kalbaska, F. Cominelli, L. Cantoni, M. Torregrosa Puig

These conference proceedings are the output of one of the first academic events of its nature happening globally, targeting fashion from a communication sciences perspective, including, in a broad sense, cultural heritage studies and marketing. The chapters present theoretical and empirical interdisciplinary work on how various communication practices impact the fashion industry and on societal fashion-related practices and values. The special focus of this volume is how digital transformation is changing the field and its utility to practitioners. Using these academic insights, practitioners can understand the core causes and reasons for trends and developments in the field of fashion communication and marketing.

Chapters
Rallying Hashtags as a Tool for Societal Change in Fashion
Karamalak O., Cantoni L., , in: Fashion Communication: Proceedings of the FACTUM 21 Conference, Pamplona, Spain, 2021Issue 1.: Springer, 2021. P. 237–249.
The influencing power of hashtags cannot be overestimated since they can be used as facilitators of some societal change calling for collective action. Following the influential social identity model of collective action (SIMCA) presented by Van Zomeren, Postmes, & Spears (2008), social identity together with collective efficacy beliefs and perceived injustice lead to collective action. ...
Added: November 8, 2021
Research target: Media and Communications Social Sciences Philology and Linguistics
Language: English
DOI
Text on another site
Keywords: marketingvisual culturedigital agevisual communicationmedia industry
Fashion Communication: Proceedings of the FACTUM 21 Conference, Pamplona, Spain, 2021
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