RUDN and RSS presented project Territory in Switzerland
The event was held from May 20 to 24 in Geneva. In order to demonstrate the advanced developments of the holding in the field of information technology and create fundamentally new objects of intellectual activity, as well as to promote the Russian initiative on digital transformation of the field of intellectual property, the RCC together with RUDN presented the report “Neural network technologies for processing satellite imagery as objects of legal protection. Project "Territory" (Unique identifier of works RFMEFI57517X0167). The Territory project is being created on behalf of the Ministry of Education and Science of the Russian Federation as part of the federal target program Research and Development in Priority Areas for the Development of the Scientific and Technological Complex of Russia for 2014-2020. The created service with the help of automated remote sensing data processing will help to determine the presence of buildings and structures, quarries, changes in the forest fund in any given territory. The Territory service is the result of scientific research using artificial intelligence methods and modern machine learning algorithms based on neural networks. It will become the basis for creating new products, including in the market of geoinformation support of intellectual property management.
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RUDN University and Russian Space Systems has cooperation activities since 2014.
In 2017 RUDN developed program for innovation development of the RSS until the 2025
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
What is your first association with the word “laboratory”? Flasks and beakers? Microscopes and centrifuges? Yes, many of us would answer the same way.
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.