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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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Design of a Robotic Injection Device for Medical Applications

P. 492–504.
Sulaiman S., Safarova L., Imamov N., Li H., Magid E.

Robotic injection devices represent a significant advancement in medical technology, aimed at improving efficiency and accuracy of drug delivery. By utilizing advanced mechanisms, healthcare professionals can administer treatments with greater ease, thereby enhancing patient comfort and compliance during medical procedures. In this paper, an injection device attached to a robotic arm has been designed for administering medications into a human body. It comprises a syringe attached to a cylinder and a piston mechanism operated using a pneumatic power source. Design of the injection device is generated using a CAD software. Motion capabilities of the device are validated using a simulation study.

Language: English
DOI
Text on another site
Keywords: designCAD modellingInjection deviceMedical robotics

In book

6th International Conference, CIT&DS 2025, Volgograd, Russia, September 22–25, 2025, Proceedings. Creativity in Intelligent Technologies and Data Science. (CCIS, volume 2803)
Cham: Springer, 2025.
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