Monitoring Earth from above is a messy, inconsistent business. Clouds can block a satellite’s 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 for traditional software to handle 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, a new frontier AI could help—bio-inspired Liquid Neural Networks.
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