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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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9TH INTERNATIONAL JOINT CONFERENCE ON AUTOMATED REASONING

Issue 10900. Springer International Publishing AG, part of Springer Nature 2018, 2018.
Academic editor: D. Galmiche
Under the general editorship: S. Schulz, R. Sebastiani

9th International Joint Conference, IJCAR 2018, Held as Part of the Federated Logic Conference, FloC 2018, Oxford, UK, July 14-17, 2018, Proceedings

Chapters
A Logical Framework with Commutative and Non-commutative Subexponentials
Kanovich M., Kuznetsov S., Nigam V. et al., , in: 9TH INTERNATIONAL JOINT CONFERENCE ON AUTOMATED REASONINGIssue 10900.: Springer International Publishing AG, part of Springer Nature 2018, 2018. P. 228–245.
Logical frameworks allow the specification of deductive systems using the same logical machinery. Linear logical frameworks have been successfully used for the specification of a number of computational, logics and proof systems. Its success relies on the fact that formulas can be distinguished as linear, which behave intuitively as resources, and unbounded, which behave intuitionistically. ...
Added: July 11, 2018
Priority areas: IT and mathematics
Language: English
Full text
DOI
Text on another site
Keywords: formal logicartificial intelligenceautomated reasoningLogical Frameworkcomputability
9TH INTERNATIONAL JOINT CONFERENCE ON AUTOMATED REASONING
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