"This study proves the feasibility of using the Laboratory's particle data to predict the dynamics of killer electrons. It also highlights the importance of long-term space observations in the age of AI." - Yue Chen, physicist at Los Alamos.
"The PreMevE-MEO model utilizes a sophisticated machine learning algorithm that combines convolutional neural networks with transformers, enabling high-fidelity predictions based on decades of satellite observations."
"This collaboration aims to mitigate the threats posed by 'killer electrons' that move at nearly light speed within Earth's Van Allen belts, posing serious risks to space-borne infrastructure."
"By integrating data from 12 GPS satellites in medium-Earth orbit and one Los Alamos satellite in geosynchronous orbit, the model leverages artificial intelligence to improve the accuracy of space weather predictions."
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