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News
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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The MANBRIC-Technologies in the Forthcoming Technological Revolution

Ch. 12. P. 243–261.
Grinin L. E., Grinin A., Korotayev A.

In this chapter, we analyze the relationship between Kondratieff waves and major technological revolutions on the basis of the theory of production principles and production revolutions, and offer some forecasts about the features of the Sixth Kondratieff Wave/the Fourth Industrial Revolution. We show that the technological breakthrough of the Sixth Kondratieff Wave may be interpreted as both the Fourth Industrial Revolution and as the final phase of the Cybernetic Revolution. We assume that the sixth K-wave in the 2030s and 2040s will merge with the final phase of the Cybernetic Revolution (which we call a phase of selfregulating systems). This period will be characterized by the breakthrough in medical technologies which will be capable of combining a number of other technologies into a single system of new and innovative technologies (we denote this system as a system of MANBRIC-technologies—i.e. medical, additive, nano-, bio-, robo-, info-, and cogno-technologies).

Language: English
Full text
DOI
Keywords: нанотехнологииинформационные технологиибиотехнологииinformation technologyмедицинские технологииcognitive technologiesroboticsкогнитивные технологииmedical techlogiesAdditive technologiesNanotechnologiesBiotechnologiesаддитивная технологияроботизация
Publication based on the results of:
Near and Middle East in the context of the global phase transition (2017)

In book

Industry 4.0. Entrepreneurship and Structural Change in the New Digital Landscape
Industry 4.0. Entrepreneurship and Structural Change in the New Digital Landscape
Springer, 2017.
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