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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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Кибернетическая революция и исторический процесс (технологии будущего в свете теории производственных революций)

Философия и общество. 2015. № 1. С. 17–47.
Grinin L. E., Гринин А. Л.

The article analyzes the technological shifts which took place in the second half of the twentieth and early twenty-first centuries and on the basis of the opportunities provided by the theory of production revolutions the authors thoroughly study the latest production revolution which is denoted as ‘Cybernetic’. There are given some forecasts about its development in the nearest five decades. It is shown that the development of various self-regulating systems will be the main trend of this revolution and the initial transition to the final phase of the Cybernetic Revolution will start in the field of medicine (in some its innovative branches). Then, a convergence of innovative and cognitive technologies will start and this will form a complex of MBNRIC technologies (that is a complex of medical, biological and nanotechnologies, robotics, information and cognitive technologies, named after the initial letters of the names of these technologies). By the example of the development of future medical technologies which also involve achievements in other innovative technologies, the authors give a detailed analysis of the future breakthroughs in terms of the development of self-regulating systems with their growing ability to select optimal modes of functioning as well as of other characteristics of the Cybernetic Revolution (resources and energy saving, miniaturization, and individualization).

Research target: History and Archeology Economics and Management
Priority areas: economics
Language: Russian
Text on another site
Keywords: информационные технологииInformation technologiesнанотехнологияминиатюризацияиндивидуализацияnanotechnologiesгенная инженерияindividualizationmedicineкибернетическая революцияпроизводственная революцияbiotechnologiesgenetic engineeringбиотехнологиясамоуправляемые системыCybernetic Revolutionself-regulating systemsproductive revolutioncyborgizationкиборгизация, медицина
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Added: March 4, 2026
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