Machine Learning Processes Solar Weather Data

Scientists have developed a new machine-learning algorithm that can process data being returned by solar missions, decreasing event detection time.

IMAGE: Using Solar and Heliospheric Observatory data, SwRI developed a tool to efficiently label large, complex datasets, such as the magnetogram on the left, to allow a machine learning application to identify potentially hazardous solar events. Solar flares, coronal mass ejections, prominences and sunspots are all driven by complex magnetic activity within the Sun’s interior and at its surface, illustrated by the ultraviolet image on the right. CREDIT: SwRI

One of the biggest problems we have with all these spacecraft is receiving all of the data they send back to Earth. And once you get all that…