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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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Моделирование одометрической системы автономной навигации гусеничного робота, оптимальной по критерию производительности

Автоматика и программная инженерия. 2022. № 1. С. 48–66.
Данилко А. И., Stukach O.

The navigation system of the autonomous moving crawler vehicle in the open area is simulated. The possibility of using odometry as a navigation system for the robot when performing a task and return to the starting position is considered. The designed software is given. An overview of other solutions for the navigation of robots is given, the possibility of using them as an additional tool to improve the accuracy of determining coordinates is defined. An algorithm for converting geographical coordinates into a new coordinate plane has been obtained. An
algorithm for finding a route to the target, a mechanism for calculating the current own position based on completed movements with a mechanism for making corrections to errors based on data received from some peripheral device, such as a gyroscope, and an algorithm for returning to the point of departure has been designed. The description of the software modules implementing the selected solutions is given, its effectiveness is evaluated.
Keywords: robotics, software control, odometry, coordinate define, the robot navigation.

Research target: Electronics and Electrical Engineering
Language: Russian
Full text
Text on another site
Keywords: autonomic transport robotавтономная навигация мобильного робота;
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