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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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The Dataset for Optimal Circulant Topologies

Big Data and Cognitive Computing. 2023. Vol. 7. No. 2. Article 80.
Romanov A.

This article presents software for the synthesis of circulant graphs and the dataset obtained. An algorithm and new methods, which increase the speed of finding optimal circulant topologies, are proposed. The results obtained confirm an increase in performance and a decrease in memory consumption compared to the previous implementation of the circulant topologies synthesis method. The developed software is designed to generate circulant topologies for the construction of networks-on-chip (NoCs) and multi-core systems reaching thousands of computing nodes. The developed software makes it possible to achieve high performance on an ordinary research workstation commensurate with similar solutions created for a supercomputer. The use cases of application of the created software for the analysis of routing algorithms in circulants and the regression analysis of the generated dataset of graph signatures to predict the characteristics of graphs of any size are described.

Research target: Computer Science Mathematics Electronics and Electrical Engineering
Language: English
Full text
DOI
Keywords: суперкомпьютерыsupercomputingсеть на кристаллеnetwork-on-chiprouting algorithmциркулянтная топологияалгоритм маршрутизацииcirculant graphcirculant topologies dataset
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