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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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Technology Learning Practices in an Interactive Museum

2017.
Maximova A. S.
The paper dwells upon encountering interactive objects in museums and demonstrates that people there build their skills and knowledge about technologies on two levels: both understanding museum topics and exploring exhibits, and interacting with devices that serve as media of demonstrating objects. First, how museums became interactive and visitor-focused and embraced technological development is explained. Second, some features of interaction with exhibits in museum space are revealed. We analyze two cases of interactive exhibits and elaborate how people read the script of conduct and affordances of an exhibit, orient themselves and coordinate action, engage in social situations, and overcome problems in communication. We argue that how people use interactive exhibits and make sense of their functioning is an important part of museum experience, allowing for technological learning and exploring properties of new technologies.
Priority areas: humanitarian
Language: English
Full text
Keywords: технологиимузеивзаимодействиеtechnologyinteractionmuseumsvisitor studiesисследования посетителейcomputer-based exhibitsцифровые экспонаты
Publication based on the results of:
«Axial Ages» in the History of Humanities: from Early Modern Times to the Present  (2017)
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