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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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?

Special Economic Zones in Russia as an Instrument of IT Potential Enhancing

P. 136–147.
Malyzhenkov P. V., Tikhobaev A.

This article is dedicated to the analysis of effectiveness of special economic zones (SEZ), a rather new, but promising phenomenon in Russian Federation economy. It includes general analysis of SEZ, its reaction to the world financial crisis, analysis of innovation implementation SEZ (II SEZ), and, in particular, its IT-potential. At the end, the cases related to IT products realized in these zones are described and some economic and financial indicators suitable to describe the dynamics of development of these agglomerations of IT enterprises are given.

Language: English
Full text
Keywords: innovationinvestmentInformation technologieshigh-techspecial economic zonesinnovation implementation special economic zones

In book

Перспективные направления исследований в области бизнес-информатики: Материалы XI международной конференции
Перспективные направления исследований в области бизнес-информатики: Материалы XI международной конференции
Nizhny Novgorod: Higher School of Economics in Nizhny Novgorod, 2012.
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