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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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SPBPU IDE '19: Proceedings of the 2019 International SPBPU Scientific Conference on Innovations in Digital Economy

NY , United States of America : Association for Computing Machinery (ACM), 2019.

The processes of innovation diffusion during fourth industrial revolution reshape economic systems and cause structural changes in different economic sectors and spheres. These innovations have become the basis of the new digital infrastructure of society. The conference SPBPU IDE-2019 has brought together experts from academia and industry to uncover the challenges and solutions to ensuring digital transformation of economic systems. The objective of the conference is to discuss recent contributions to the understanding of the innovations in digital economy and their consequences for modern societies. This conference disseminates the most recent advances in this field and promote collaborations to maximize opportunities for innovative solutions. We hope the conference will continue annually in order to continue sharing recent developments in the sphere of digital economy.

Chapters
Developing a Cybersecurity Risk Analysis System for High-Tech Equipment in Machine Industry
Grishunin S., Сулоева С. Б., Бурова Е. Е., , in: SPBPU IDE '19: Proceedings of the 2019 International SPBPU Scientific Conference on Innovations in Digital Economy.: NY, United States of America: Association for Computing Machinery (ACM), 2019. Ch. 21 P. 1–6.
The paper is dedicated to developing a system for identifying and assessing cyber-risks to support investment decision-making in a machine industry enterprise. It is designed for projects related to high-tech equipment development and introduction. The problem is acute because the existing methods of cyber-risk analysis have some drawbacks, which prevent them from being used at ...
Added: March 25, 2020
Priority areas: economics management IT and mathematics
Language: English
Text on another site
Keywords: computer machineryКомпьютерное оборудование
SPBPU IDE '19: Proceedings of the 2019 International SPBPU Scientific Conference on Innovations in Digital Economy
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