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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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Социальный интеллект в экономике знаний (проблемы российской школы)

Педагогические науки. 2011. № 3. С. 7–10.
Tatarchenko L., Yakusheva S. V.

This article attempts to analyze the requirements of modern society living at the time of innovation-driven economy to education and determines the main objectives that, as the authors believe, should become the cornerstone in reforming the system of education.

Priority areas: sociology humanitarian
Language: Russian
Keywords: Единый государственный экзамен (ЕГЭ)экономика знанийинновационная экономикаUnified State Examination (USE)способностиknowledge economyзнанияknowledge social intelligenceeducational objectivesinnovation-driven economyskillsabilitiesсоциальный интеллектзадачи образованияумения
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Rapid development of surveillance technologies is one of the most socially important consequences of the digital age. This paper investigates the factors determining consent to surveillance of various types  of  personal  data and contributes  to  rapidly  growing  research  on  citizens  perceptions  of surveillance practices. Relying on a comprehensive survey experiment, we study the effects of ...
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This study examines the association between health status among elderly individuals living alone and pet ownership (cats, dogs). We employ data from the “Time Use Survey” conducted by the Federal State Statistics Service (Rosstat) in 2019, which contains information on more than 10,000 elderly individuals living alone aged 60 or older in Russia, including data ...
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Non-probability web surveys offer several advantages over face-to-face (F2F) interviews—they are cheaper, faster, more accessible, and reduce interviewer effects and desirability bias. As such, they are increasingly popular in both academic and commercial research. However, they often yield demographically biased samples, raising concerns about the accuracy of the resulting public opinion estimates. Most studies on ...
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