Machine learning & AI
Skoltech researchers have trained a neural network to recognize rock samples in core box images efficiently. It sped the analysis process by up to 20 times and made it possible to automate the description of rock samples. ...
Jun 30, 2022
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57
Energy & Green Tech
An international team, which included Skoltech researchers and their colleagues from France, the United States, and Switzerland, found out why energy losses occur during the charge-discharge cycle in lithium-ion batteries ...
Jun 21, 2022
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172
Energy & Green Tech
Researchers from Skoltech, Shandong University, and ORE Catapult have proposed a way to stabilize wind farms under overvoltage conditions, when imbalances in the power grid causing voltage swells can temporarily knock out ...
May 26, 2022
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18
Computer Sciences
Skoltech researchers have trained a neural model to determine the height of trees on satellite imagery to monitor the natural environment, infrastructure, and timber supply. Unlike prior solutions, the model presented in ...
May 20, 2022
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24
Robotics
Skoltech researchers and their colleagues from ESPCI Paris, Chiba University, and Japan Agency for Marine-Earth Science and Technology have used a 3D simulation to show that small fish swimming in a school can sense the position ...
Mar 16, 2022
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6
Computer Sciences
Researchers from Syntelly—a startup that originated at Skoltech—Lomonosov Moscow State University, and Sirius University have developed a neural network-based solution for automated recognition of chemical formulas on ...
Feb 14, 2022
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8
A Skoltech professor and his colleagues from Germany have designed a very small and flat antenna for receiving and transmitting terahertz signals. THz waves are a band of electromagnetic radiation that holds much promise ...
Feb 9, 2022
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66
Computer Sciences
A group of Skoltech scientists—Ph.D. student Egor Nuzhin, Assistant Professor Maxim Panov, and Professor Nikolay Brilliantov—applied artificial intelligence methods to explain an enigmatic natural phenomenon: animal swirling. ...
Jan 24, 2022
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55
Computer Sciences
Scientists from Skoltech and St. Petersburg State University have proposed a mathematical method for interpreting data on underground water flows. The new technique is more efficient and provides more accuracy in imaging ...
Jan 11, 2022
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8
Energy & Green Tech
Skoltech researchers and their colleagues have proposed a new model for the interaction of nations trading electricity and their network lines planning. Described in IEEE Transactions on Power Systems, the model suggests ...
Dec 15, 2021
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4
