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.