Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Forest canopy cover measures the coverage of tree crowns from an aerial view. It shows how much a forest's uppermost layer of branches, leaves and vegetation forms a continuous cover over the ground.

Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.

Babies born with low birth weight (less than 2.5 kg) are 20 times more likely to die. They are also more likely to develop neurological and cardiovascular diseases, diabetes, and growth problems later ...

Machine learning. To create the Arkansas forest canopy cover dataset, ... Machine learning algorithms identify patterns in data, make predictions and adapt to new information.