Earth From Orbit Is Unpredictable and Messy. Could ‘Liquid’ AI Clear the View?

View of Eritrea, partially covered in clouds, taken form the ISS. Credit - Earth Science and Remote Sensing Unit, NASA Johnson Space Center

Monitoring Earth from above is a messy, inconsistent business. Clouds can block a satellite view, the angle of the Sun can create huge shadows, and orbital paths might not take a system across the same general area for weeks. That inconsistency is hard to deal with for traditional software, and can even confuse standard deep learning algorithms. But, according to a new review paper by researchers Raul-Alexandru Gorgan and Dorian Gorgan of the Technical University of Cluj-Napoca, there’s a new type of frontier AI that could be able to help – bio-inspired Liquid Neural Networks.

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