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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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La colaboración escuela-universidad durante la pandemia : manteniendo las oportunidades educativas y reinventando la educación

ANUIES, Dirección de Producción Editorial, 2021.
Under the general editorship: F. Reimers, F. Marmolejo

Based on twenty case studies of universities worldwide, and on a survey administered to leaders in 101 universities, this open access book shows that, amidst the significant challenges caused by the COVID-19 pandemic, universities found ways to engage with schools to support them in sustaining educational opportunity. In doing so, they generated considerable innovation, which reinforced the integration of the research and outreach functions of the university.

The evidence suggests that universities are indeed open systems, in interaction with their environment, able to discover changes that can influence them and to change in response to those changes. They are also able, in the success of their efforts to mitigate the educational impact of the pandemic, to create better futures, as the result of the innovations they can generate. This challenges the view of universities as “ivory towers” being isolated from the surrounding environment and detached from local problems.

As they reached out to schools, universities not only generated clear and valuable innovations to sustain educational opportunity and to improve it, this process also contributed to transform internal university processes in ways that enhanced their own ability to deliver on the third mission of outreach.

Chapters
Apoyando a la educación primaria y secundaria durante la pandemia: un caso de estudio de la Universidad Nacional de Investigación “Escuela Superior de Economía”
Kosaretsky S., Likhatskikh E., , in: La colaboración escuela-universidad durante la pandemia : manteniendo las oportunidades educativas y reinventando la educación.: ANUIES, Dirección de Producción Editorial, 2021. Ch. 16 P. 273–291.
Added: October 27, 2021
Research target: Education
Language: Spanish
Keywords: Open Access educational innovationHigher Education Leadershipuniversity teaching during COVID-19Leading learning during crises pandemic of 2020
La colaboración escuela-universidad durante la pandemia : manteniendo las oportunidades educativas y reinventando la educación
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