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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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Сетевая модель взаимодействия кафедры вуза и компаний-партнеров для развития эмоционального интеллекта у студентов – будущих HR-менеджеров

Педагогика и психология образования. 2020. № 2. С. 112–131.
Isaeva O., Savinova S. Y.

The article discusses the development of emotional intelligence of HR- managers. Experience of organization of network interaction of the Department of Organizational Psychology of  "Higher School of Economics" in Nizhny Novgorod and HR’s as a way of development of emotional intelligence in students studying at specialization "Human resource management" is presented. The need for cooperation in order to develop emotional intelligence of students on the basis of network interaction is due to the relevance of practical vocational training, combining the resources of partners, expanding their capabilities. The directions, tasks, forms of network interaction, necessary resources, as well as roles implemented by partners are presented. The article draws attention to the importance of creating conditions for interdisciplinary communication in the process of training, "leaving" the main and secondary forms of training for the development of emotional intelligence, the development of a generalizing independent course "Emotional intelligence in business".

Research target: Psychology Education
Priority areas: humanitarian
Language: Russian
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DOI
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Keywords: эмоциональный интеллектHR-менеджерыразвитие эмоционального интеллекта emotional intelligence HR-managersdevelopment of emotional intelligencenetwork of interaction resourcesсетевая модель взаимодействия
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