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News
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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?

Decision Support System for Scientific and Technical Expertise

P. 3–7.
Aleksandr V. Belov, Bulat I. Bikbaev, Gevondyan M. S., Darya A. Levitan, Irina Yu. Panina

Currently in the Russian Federation the state actively supports IT companies that are engaged in research and development work (R&D) as part of the implementation of the state program to create a digital economy. One of the forms of state support for IT companies is the provision of tax benefits to them. In this regard a very important process of verifying the validity of the provision of tax benefits is the examination of scientific and technical documentation provided by IT companies to the tax authorities. The paper considers the issues of creating a support system for conducting scientific and technical examinations of materials submitted by IT companies to confirm the correctness of classifying the work performed as R&D.

In this article, we offer the specialized software named Support System which allows taxpayers to provide information about completed R&D projects in a checklist format in a declarative manner. Criteria for compliance of implemented IT projects with R&D projects are defined. The reporting documentation undergoes a multi-stage check in accordance with the developed algorithms for loading and analyzing text materials for compliance with the established criteria. The adequacy of used algorithms is confirmed by the results of computer simulation. The developed prototype of the support system for conducting scientific and technical examinations is planned to be introduced into the activities of tax inspections.

Language: English
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Keywords: taxpayerR&D projects digital economy

In book

Proceedings of the 2023 Seminar on Information Computing and Processing (ICP), 27-28 Nov. 2023
, 2023.
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