Traditional methods of assessing damage after a disaster can take weeks or even months, delaying emergency response, insurance claims and long-term rebuilding efforts. New research might change that.
It started as a low, haunting roar building in the distance. It grew into a deafening thunder that drowned out all else. The sky turned an unnatural shade of green, then black. The wind lashed at ...
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AI is quietly transforming how we protect nature
From tracking elusive species to predicting ecosystem changes, AI-powered monitoring is reshaping conservation. By combining deep learning, IoT, and advanced sensors, researchers can gather faster, ...
A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral similarity with global ...
Recent research highlights how artificial intelligence, IoT, and geospatial technologies are revolutionizing agriculture, from precision crop and livestock monitoring to automated pest control. These ...
A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral ...
Lithium thionyl chloride (Li-SOCl 2) batteries are the current gold standard for long-term remote deployments. Li-SOCl 2 ...
Texas A&M researchers have developed a new method to assess damage assessments and estimate recovery times following a tornado using artificial intelligence and restoration modeling. It started as a ...
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