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.
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.
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.
Polskoy S., В кн.: Лаборатория понятий. Перевод и языки политики в России XVIII века: Коллективная монография.: М.: Новое литературное обозрение, 2022. Гл. II.1 С. 236–314.
The author in the chapter shows that until the 1760s almost all the translated “political” literature in Russia was distributed in manuscripts. Obviously the interest in political writings of one of the commissioners of translations of that type of literature, Prince Dmitrii Mikhailovich Golitsin, explains to some extent the abundance of the copies of handwritten translations ...
Grishchenko A., Понарядов В. В., Урало-алтайские исследования 2021 № 4 (43) С. 7–34
The paper for the first time publishes monuments of the Old Permian language written with Abur, or the script of St. Stephen of Perm; these sources are previously unknown or have not been introduced into academic circulation. They are published here as facsimiles, with transliteration, transcription, and Russian translation. Perhaps the oldest of these inscriptions ...