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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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Грядущая кибернетическая революция и технологические трансформации.

Credo new. 2016. № 2.
Grinin L. E., Гринин А.

 In the present paper, on the basis of the theory of production principles and production revolutions we reveal the interrelation between K-waves and major technological breakthroughs in history and make forecasts about features of the sixth Kondratieff wave in the light of the Cybernetic Revolution that, from our point of view, started in the 1950s. 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 self-regulating systems). This period will be characterized by the breakthrough in medical technologies which will be capable to combine many other technologies into a single complex of MBNRIC-technologies (med-bio-nano-robo-info-cognitive technologies). The article offers some forecasts concerning the development of these technologies.

Priority areas: economics
Language: Russian
Text on another site
Keywords: биотехнологииробототехникаperipherycenternanotechnologiescognitive technologiesпромышленная революцияМир-Система нанотехнологии медицинаroboticsWorld-Systemкогнитивные технологииK-wavesпроизводственные революциипринцип производствакибернетическая революциякондратьевские волныProduction revolutionsbiotechnologiesсамоуправляемые системычетвертая К-волнапятая К-волнашестая К-волнаCybernetic Revolutionself-regulating systemsIndustrial Revolution production principle medicine центр периферияthe fourth K-wavethe fifth K-wavethe sixth K-wave
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