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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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?

Можно ли защитить в «облаке» конфиденциальную информацию?

Системы высокой доступности. 2012. Vol. 8. No. 2. P. 12–15.
Baranov A.

The direction of cloud computing protection development is considered in the article. It is suggested to consider the structure of a queuing system based on processing data centers (PDC), as the combination of six components: the hardware PDC element; telecommunication PDC resources access element; users and the software associated to them; the «middle» PDC layer, providing calculating virtualization and including control system; application services, provided by PDC as the layer of application software for guest operating systems; data storage systems, especially databases. The ways of data protection in every subsystem, the directions of necessary development and the possibility of different security levels provision are discussed in the article. According to the author, the most complicated objective is to certify access control system in modern database systems like Oracle and DB-2.

Priority areas: IT and mathematics business informatics
Language: English
Keywords: информационная безопасностьоблачные вычисленияcloud computinginformation securitytrusted hypervisornational objectiveдоверенный гипервизорнациональная задача
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Natural hazard database from Internet publications: text mining with a large language model
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Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
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The issue of information and communication technology (ICT) security is becoming increasingly important in the context of international relations and foreign policy. In the present study, the authors analyze the discourse of the Joseph Biden administration in the field of international ICT security in the Latin American dimension, with the aim of identifying the underlying ...
Added: October 7, 2025
Diffusion on language model embeddings for protein sequence generation
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
A Feature Engineering Framework for Computer Vision Based on Topological Data Analysis
Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.
Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
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