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AI radar system that can spot miniature drones 3 kilometers away

A new AI radar system developed by DGIST can detect subminiature drones flying as far as 3km away, thanks to the use of super-resolution algorithm and AESA radar signal processing technology. The system also integrates GANs-based drone cognition technology for real-time detection and identification.

SourceDGIST (Daegu Gyeongbuk Institute of Science and Technology)·JournalIEEE Geoscience and Remote Sensing Letters·DateJul 17, 2019

AI may be better for detecting radar signals, facilitating spectrum sharing

NIST researchers demonstrate deep learning algorithms outperform traditional methods for detecting offshore radars, improving spectrum sharing. The new approach provides occupancy statistics for the 3.5 GHz band, enabling commercial users to determine when to yield to naval operations.

SourceNational Institute of Standards and Technology (NIST)·JournalIEEE Transactions on Cognitive Communications and Networking·DateFeb 20, 2019

Typical mutations in children of radar soldiers

Researchers found that children of radar soldiers who were exposed to high doses of radiation had a higher rate of multisite de novo mutations and chromosomal alterations compared to offspring of non-radiation exposed parents. The results support the idea that accumulation of genotype damage by radiation can occur in the next generation.

SourceUniversity of Bonn·JournalScientific Reports·DateOct 5, 2018

The best spies in the skies analyze Mellaria

The Upper Guadiato Archaeological Ager Mellariensis project has analyzed 49 km2 of the territory containing ancient Roman city Mellaria using the COSMO-SkyMed constellation. The satellite technology has revealed invisible moist and floodable areas, groundwater flow, and lost medieval roads.

SourceUniversity of Córdoba·JournalArchaeological Prospection·DateJul 27, 2018

New method makes weather forecasts right as rain

Researchers from the University of Missouri developed a system that improves rainfall forecast accuracy by considering evaporation. This method uses dual-polarization radar to track raindrops and a model assessing atmospheric humidity, resulting in more accurate forecasts for locations 30 miles or more from National Weather Service radar.

SourceUniversity of Missouri-Columbia·JournalJournal of Hydrology·DateJun 15, 2018