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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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?

Survival of the smartest

P. 59–81.
Danilova E. E., Udalov Y. B.

The purpose of this paper presents our model “four plus one” knowledge types for the analysis of the sustainability of knowledge production and its transfer in modern society. The model includes everyday knowledge, practical knowledge (working skills), corporate knowledge and scientific knowledge. Fifth type of knowledge, i.e. educational knowledge is listed separately as it has dual function: it preserves the knowledge, but it also transfers it between other knowledge types. Knowledge types, which we have chosen, are all linked to economics and production process. Thus, if we define the correct way to estimate the value of knowledge and compare it with the costs of knowledge production, we can conclude that knowledge-based system is sustainable. Further, we analyze a concrete example of possible threats to sustainability of knowledge in Russia as well over the world, - the process, which we called “the knowledge split”. As a result of this process a decreasing amount of personnel with adequate knowledge and professional skills has to process growing volumes of information that has an increasingly less certain and verifiable quality. The model can be successfully applied to the problems of modernization of corporate, educational and scientific knowledge structures.

Language: English
Full text
Keywords: knowledge splittechnological displacement“multiple knowledge types” modelтехнологическое замещениемногофакторная модель знаний

In book

Инновационные технологии бизнес-коммуникаций: стратегии и тактики. Материалы международной научно-практической конференции (25 ноября 2011 г.)
Инновационные технологии бизнес-коммуникаций: стратегии и тактики. Материалы международной научно-практической конференции (25 ноября 2011 г.)
Вып. 7. , М.: Издательский дом НИУ ВШЭ, 2011.
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