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DLI Course: Disaster Risk Monitoring Using Satellite Imagery

In collaboration with the United Nations, DLI is offering a new free online course focused on applying deep learning methods to generate accurate flood detection models. < 1
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Real-Time AI Model Aims to Help Protect the Great Barrier Reef

Google worked with Australia’s national science agency to train ML models that monitor and map harmful coral-eating crown-of-thorns starfish outbreaks along the Great Barrier Reef. 4 MIN READ
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DLI Course: Disaster Risk Monitoring Using Satellite Imagery

Learn to build and deploy a deep learning model for automated flood detection using satellite imagery in this new self-paced course from the NVIDIA Deep Learning Institute. < 1
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Neural Network Generates Global Tree Height Map, Reveals Carbon Stock Potential

Using remote sensing and an ensemble of convolutional neural networks, the study could guide sustainable forest management and climate mitigation efforts. 5 MIN READ
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Accelerating Climate Change Mitigation with Machine Learning: The Case of Carbon Storage

We present a new generation of neural operators, named U-FNO, that empowers a novel technology for solving multiphase flow problems with superior accuracy, speed, and data efficiency. 11 MIN READ
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Airborne Sensors Accurately Monitor Crops in Real Time

Researchers combine advanced remote sensing data and machine-learning algorithms to quickly monitor crop nitrogen levels, central to informing sustainable agriculture. 4 MIN READ