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A study by researchers from Ariel University published in the Astrophysical Journal used deep learning to analyze radiation data from communications satellites that NASA has been collecting since the 1990s and succeeded with the help of machine learning to predict
Weather forecasting in space, which may affect the activity of satellites, the health of astronauts and the power grids about 24 hours before the occurrence can be done using machine learning methods that rely on past events in combination
This is what Dr. Ofer Cohen of the Harvard-Smithsonian Observatory says, during the "Solar Cycle No. 24 and its Impact on Ground and Space Infrastructures" seminar that took place yesterday at the Open University
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