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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Автоматизация низкоуровневого моделирования сетей на кристалле

Проблемы разработки перспективных микро- и наноэлектронных систем (МЭС). 2021. № 1. С. 46–50.
Lezhnev E.

The process of designing a network-on-chip communication subsystem is a complex and time-consuming process, the task of which is to select the optimal characteristics in a given range of values. Although low-level modeling is time-consuming compared to high-level, but only this process allows to get the exact characteristics of the network. Comprehensive research, which is used in most models of networks-on-chip, is often redundant, because during one simulation iteration, only one of its parameters is checked. A low-level model is proposed that allows automated modeling of the communication subsystem, as well as the routing algorithm for networks-on-chip. The experiments carried out on the example of the study of circulant topologies, which showed the correctness and usefulness of such a model for various applications.

Research target: Engineering and Technology
Language: Russian
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Keywords: network on chipсеть на кристаллеautomation modelавтоматизация моделированиянизкоуровневое моделированиеlow level model
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Formation control of unmanned aerial vehicle swarms for outdoor monitoring in search and rescue tasks
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