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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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?

Системообразующие компании на отечественном страховом рынке (на примере ООО «Росгосстрах»)

ЭКО. 2017. № 4. С. 178–189.
Tarasova J., Еркина Д. Ю.

The aim of the study is to identify the degree of dependence of the domestic market activity from the major companies on the example of «Rosgosstrakh». The results of the work are: evaluation of the dynamics of the domestic insurance market in the near future; analysis of financial condition over three years; construction of the regression model, which will assess the impact of companies on the market. The evaluation will be carried out from the data presented on the website of the Central Bank of Russia on the insurance portal «Insurance Today», the financial statements and consolidated most of the insurance company. The analysis will be conducted using the coefficients of the method of comparative analysis, econometric analysis.

Priority areas: economics
Language: Russian
Full text
Keywords: Центральный банк Россииregressionрегрессияinsurance market of Russiaстраховой рынок РоссииThe Central Bank of the Russian Federationsystem-forming insurersRosgosstrakhсистемообразующие страховщикиРосгосстрах
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