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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Интеллектуальные системы

M. : -, 2016.
Yasnitsky L.

Describes the history of establishment of the scientific field of "artificial intelligence", describes the main directions of its development and scope of mapping the three main strategic approaches to creation of intellectual systems: the technology of expert systems, neural network technology and technologies of evolutionary modelling. Theoretical bases and examples of the development of intelligent systems and examples of their application to the data mining, in Economics, in business, in psychology, in sociology and other fields. The book builds and expands the worldview of the graduates, improving his ranking in life. At the same time, the book is a comprehensive guide to mastering technologies for creating neural network intelligent systems and their applications for solving a wide range of problems encountered in many fields of human activity. For students of higher educational institutions.

Research target: Computer Science Basic Medicine Health Studies Education Political Science, International Relations, and Public Administration Psychology Mathematics Economics and Management
Priority areas: economics sociology humanitarian IT and mathematics business informatics engineering science
Language: Russian
Full text
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Keywords: математическое моделированиеискусственный интеллектдолгосрочное прогнозированиеинтеллектуальные системыdata mining экономика и обществоинтеллектуальный анализ данныхartificial neural networksискусственные нейронные сетиcomputer modellingartificial intelligenceintelligence systems
Интеллектуальные системы
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