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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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К вопросу о подготовке специалистов по управлению знаниями

Открытое образование. 2018. Т. 22. № 2. С. 14–26.
Гринберг Э. Я., Pleshkova A.

The article is devoted to the identification of key features of training specialists in knowledge management and systematization of information sources available to them. The relevance of the subject is related to the growing need for managerial personnel, capable of organizing work with knowledge at the enterprise in order to achieve competitive advantages.

The study examined the definitions associated with the management of knowledge in the foreign and domestic literature, analyzed the number of subjects taught in Russian specialized universities, revealed the predominance of non-formal education over education in universities. The phenomenon of teaching knowledge management within the framework of such related disciplines as information technology and personnel management has been studied. The article also systematizes the trends in which knowledge management projects are implemented. Based on the above specifics, it is suggested that the main driver of the development of non-formal education in this area is the entrepreneurial initiative of experts. The directions in which the contribution of Russian science to the development of knowledge management as a discipline is manifested to a special extent. Such spheres are the intellectual capital and information technologies.

The article is intended for researchers and practitioners whose professional interests lie in the field of knowledge management. In conclusion, ways of improving education systems in higher education institutions and non-formal education are proposed to increase the competence of all specialists who work in the field of knowledge management.

Research target: Economics and Management Education
Priority areas: management
Language: Russian
Full text
DOI
Text on another site
Keywords: управление знаниямиknowledge managementсамообучениеменеджмент знанийобразование в Россииself-educationeducation in Russiaknowledge management specialistспециалист по управлению знаниями
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