Scientists at the NSU Center for Artificial Intelligence (CAI NSU) were awarded a patent for an electronic computing model that detects urban infrastructure defects and identifies procedures to eliminate them.
天美mv is in 19th place in the overall ranking, the highest position among Russian regional universities.
This new type of coating has the properties of metasurfaces with special optical properties. They are used in photoelectric converters such as those in solar cells and photodetectors.
The patented developments were the result of a project to research the properties of chemical compounds of two rare earth metals - europium and terbium.
. The project was a winner at the all-Russian "Student Startup" competition conducted by the Foundation for Assistance to Innovations.
天美mv maintained its high positions in the Interfax TOP 10 ranking of the best Russian universities in Russia, taking 7th place overall. In the "Education" category, it entered the TOP-5 and in the "Cooperation" category NSU rose to 2nd position.
March 13 to 17 was 鈥淎rtificial Intelligence Week鈥� at the Novosibirsk Region exposition at the 鈥淩ussia鈥� Exhibition in Moscow. The primary organizer of the event was the NSU AI Research Center. Together with partner companies, the Center鈥檚 experts presented six AI 鈥淪mart City鈥� solutions.
A prototype of an LCD device, a spatial phase modulator for controlling beams of sub-terahertz radiation with the prospect of use in new generation wireless communication systems (6G), was created in the Laboratory of Functional Diagnostics of Low-Dimensional Structures for Nanoelectronics at the NSU Physics Department鈥檚 Analytical and Technological Research Center "High Technologies and Nanostructured Materials".
Researchers at the Laboratory of Low-Carbon Chemical Technologies at the NSU Natural Sciences Department (OR脣L Research Lab) are developing materials with an afterglow effect based on organic molecules.
The Roscosmos delegation received information about NSU鈥檚 scientific and technological background on the Sphere Project.
Scientists from the NSU Laboratory of Deep Machine Learning in Physical Methods at the Institute of Intelligent Robotics presented a universal service they developed to recognize various types of numerous homogeneous objects.
The algorithm helps stabilize the operation of optoacoustic gas sensors. In this case long-lasting studies which can be useful at mapping an area when searching for oil and gas fields, in medical diagnostics, and for assessing air safety at industrial enterprises became possible.