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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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Firms’ efficiency, exits and government procurement contracts

European Journal of Political Economy. 2023. Vol. 76. Article 102253.
Bessonova E.

This study shows that productivity trends in Russia are similar to those in other countries where technology leaders enjoy productivity growth, with a gap increasing between them and other companies. The survival analysis suggests that the most efficient firms quit the market at a faster rate than other companies do. Survival functions of the least efficient firms do not always differ significantly from those of other enterprises. Additional financial support from government contracts helps firms in all efficiency groups survive but this effect is stronger for laggards. The shift of gains from the public procurement system towards low productive firms leads to the distorted allocation of resources in the economy and, in the long run, may undermine economic growth by allowing inefficient companies to stay in the market significantly longer than would be the case in a more competitive environment.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: TFP growthproductivity gapEfficiencyGovernment procurement contractsFirms’ exits
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