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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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Исследовательские и контрисследовательские объекты: дизайн предоставляемых возможностей

Российский журнал когнитивной науки. 2017. Т. 4. № 2-3. С. 49–59.
Poddiakov A.

This paper discusses the design of exploratory objects that stimulate curiosity and exploration without instructions or explicitly posed problems. It is proposed that such an object can be considered as a specially designed meta-affordance as a challenge to curiosity and exploratory activity containing a variety of different affordances of lower levels. The concepts of deexploratory and counter-exploratory objects are also introduced. Deexploratory objects prevent non-desirable curiosity and exploration. Counter-exploratory objects are designed to do damage during their exploration. It is concluded that the comparison of objects having different specially designed exploratory, deexploratory and counter-exploratory components provide an opportunity to better understand practices of guided activity (management, manipulation) with positive and negative intentions.
English full text: https://www.researchgate.net/publication/322644152_Exploratory_and_Counter-Exploratory_Objects_Design_of_Meta-Affordances

Research target: Psychology Education Art History
Priority areas: sociology humanitarian
Language: Russian
Text on another site
Keywords: affordanceаффордансexploratory objectsdeexploratory objectscounter-exploratory objectsdefordancemeta-affordanceисследовательские объектыдеисследовательские объектыконтрисследовательские объектыдефордансметааффорданс
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