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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?
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Drivers for innovation in KIBS: evidence from Russia

. 2021. Vol. 41. No. 7-8. P. 489–511.
Chichkanov N., Miles I. D., Belousova V.

Knowledge-intensive business services (KIBS) significantly contribute to the economic growth and competitive advantage of emerging markets, including Silk Road countries. KIBS are not only intermediaries that transfer knowledge through the economy but are also innovators themselves. This paper aims to explore how major innovation drivers influence the implementation of innovation in KIBS. Using a sample of 519 KIBS enterprises from Russia, the results show that human capital increases the implementation of technological innovation, while the link between standardisation and technological innovations is nonlinear (an inverted U-shaped). In addition, the multiregional branch network promotes the implementation of all types of innovation, while advertising investments enhance the implementation of technological and marketing ones. These results help to provide some practical suggestions for both innovation managers and policy-makers.

Research target: Economics and Management
Priority areas: management
Language: English
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DOI
Text on another site
Keywords: инновациисфера услугinnovationKnowledge-Intensive Business Services (KIBS)отрасли сектора интеллектуальных услугSilk RoadService industries
Publication based on the results of:
Measuring and modeling patterns of innovation activities: heterogeneity of actors (2019)
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