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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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Hidden and Displayed Liquidity in Securities Markets with Informed Liquidity Providers

The Review of Financial Studies. 2013. Vol. 26. No. 8. P. 2096–2137.
Boulatov A., George T.

We examine the impact on the quality of a securities market of hiding versus displaying orders that provide liquidity. Display expropriates informational rents from informed agents who trade as liquidity providers. The informed then exit liquidity provision in favor of demanding liquidity where they trade less aggressively. Trading costs to uninformed liquidity demanders are higher, bid-ask spreads are wider and midquotes are less informationally ecient when orders that provide liquidity are displayed. Our analysis suggests that market innovations, which might seem to favor the informed over the uninformed, can enhance market quality by intensifying competition among the informed.

Priority areas: economics
Language: English
Text on another site
Keywords: liquidityTrading costs
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