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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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Quiet Contributors: The Role of the Arts, Humanities and Social Sciences in Innovation

Foresight and STI Governance. 2018. Vol. 12. No. 3. P. 6–12.
Linton J.

Many countries are directing their attention to the support of technological innovation with the intent to obtain economic and social benefits at home while positioning themselves for high margin, high technology export markets. The under-considered and under-exploited role of arts, humanities and social science in innovation is explored in this study. Examples of programs and activities in a variety of countries are illustrated. Insight into why the arts, humanities and social sciences are important to the generation of social and economic benefits through innovation is  offered. Furthermore, recommendations are provided for better accessing the benefits that the arts, humanities and social science can provide.

Language: English
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Keywords: технологические инновацииорганизационные инновациисоциокультурные инновацииbusiness model innovationorganizational innovationsocial innovationArts, Humanities and Social Sciencestechnological innovationadministrative innovationcross-disciplinary collaborationинновации в области бизнес-процессовадминистративные инновациимеждисциплинарное сотрудничество
Publication based on the results of:
Foresight tools for the study of digital transformation processes in the economy and the society (2018)
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