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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 ...
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Machine learning leads to first regional scale forest mapping using 1-meter measurementsForest canopy cover measures the coverage ... improve their performance over time without being programmed. Machine learning algorithms identify patterns in data, make predictions and adapt ...
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 ...
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