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June 2, 2026
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
June 2, 2026
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
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.

 

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?

Online Communication in Apartment Buildings

P. 52–55.
Vadim Voskresenskiy, Kirill Sukharev, Ilya Musabirov, Daniel Alexandrov

In this paper we explore main patterns of communication and cooperation in online groups created by residents of apartment buildings in St.Petersburg in social networking site “VK”. Using word-frequency analysis and Latent Dirichlet Allocation (LDA) we discovered main discussion topics in online groups. We have also found that communication of neighbors in these groups is predominantly connected with material needs and directed to solve common problems, such as related to building improvement, management company and in-fill constructions near their house. Based on online observations of city activists, we suggest that dynamic nature of SNS allows online community which is dedicated to particular problem to avoid it’s breakdown after the resolution of the original issue.

Language: English
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DOI
Text on another site
Keywords: urban studiestopic modelingonline communitiesNLPsocial informaticssocial computing
Publication based on the results of:
School differentiation and its effects (2015)

In book

Lecture Notes in Computer Science
Vol. 8852: SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers. , NY: Springer, 2015.
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