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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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CHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems

NY : Association for Computing Machinery (ACM), 2026.
Under the general editorship: N. Oliver, D. Shamma, H. Candello, P. Cesar, P. Lopes, V. Artizzu, F. Draxler, G. Lopez, A. Reinschluessel, X. Tong, P. Toups Dugas

This book consists of the proceedings of the extended abstracts of the 2026 CHI Conference on Human Factors in Computing Systems.

Chapters
Human-in-the-Loop Egyptology: A System for Ancient Egyptian Text Study
Humonen I., Golyadkin M., Rubanova V. et al., , in: CHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems.: NY: Association for Computing Machinery (ACM), 2026. P. 1–5.
We present a prototype web-based human-in-the-loop system for studying Ancient Egyptian hieroglyphic texts that integrates an image-to-text pipeline into an interactive workspace for iterative refinement. In a formative user study with Egyptologists and students, the system enabled faster work and higher-quality results than a manual workflow. ...
Added: April 14, 2026
Research target: Electronics and Electrical Engineering
Language: English
Text on another site
Keywords: ИнформатикаInformaticsИскусственный интеллектArtificial Intelligence
CHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
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This textbook is an integrated teaching and learning resource for English for Specific Purposes (ESP) in the field of economics of tangible and intangible assets. Its design employs (i) modern corpus linguistics methods, including frequency analysis and keyword extraction based on authentic texts reflecting current trends in professional discourse, and (ii) artificial intelligence technologies for ...
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The problems of metrological assurance for measuring the refractive index of solid optical materials (silicon, germanium, etc.) used in the infrared range of the spectrum (infrared materials) are considered. The refractive index of optical materials in the infrared wavelength range must be known with high accuracy when developing optics for thermal imagers, night vision devices, ...
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Методика оценки функциональной безопасности маршрутизаторов на основе вероятностно-физической модели
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2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Machine Learning Methods for Fast Evaluation of Static IR Drop Effect
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Proceedings of the 2026 8th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)
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We present a prototype web-based human-in-the-loop system for studying Ancient Egyptian hieroglyphic texts that integrates an image-to-text pipeline into an interactive workspace for iterative refinement. In a formative user study with Egyptologists and students, the system enabled faster work and higher-quality results than a manual workflow. ...
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Preface IEEE Russia North West Section and Saint Petersburg Electrotechnical University “LETI” are pleased to present the Proceedings of the 2026 ElCon Conference of Young Researchers in Computing & Processing, and Information Security (2026 ElCon-CP) held in St. Petersburg, Russia, on February 3-5, 2026. This conference was hosted by Saint Petersburg Electrotechnical University “LETI”. The ...
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Added: March 24, 2026
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