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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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Do Women Socialize Better? Evidence from a Study on Sociality Effects on Gender Differences in Cooperative Behavior.

P. 41–51.
Babkina T., Peshkovskaya A. G., Мягков М. Г.

Human behavior is greatly influenced by the social context. The current study on men’ and women’s cooperative behavior investigated the influence of long-term and short-term effects of socializing in group. The repeated Prisoner’s dilemma carried out in groups of 6 participants was used as the main experimental situation. The differences were found in changes in the level of cooperation, taking into account the effects of mixing social and gender variables. Socialization made cooperation of group members strength and sustainable. However, men’ and women’s cooperative behavior in groups differed. Women were initially more inclined to cooperate in interaction with strangers. Men showed greater sensitivity to sociality effects. They tended to make cooperative decisions more often if there are friends in the group. Furthermore, men cooperated with previously unknown people after socializing with them significantly more than women.

Language: English
Full text
Keywords: gender differencescooperationsocial dilemmas

In book

Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning (EEML 2017), Dresden, Germany, September 17-18, 2017
Vol. 1968. , Aachen: CEUR Workshop Proceedings, 2017.
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