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Liquid Neural Networks (LNNs) are a type of AI designed to handle continuous, changing data like video streams, financial ticks, or sensor signals.

Unlike standard neural networks that freeze after training, Liquid Neural Networks use differential equations so their hidden parameters keep adapting dynamically while running ("in the wild"). This makes them extremely compact, highly adaptable to noise, and efficient enough to run on small edge devices like robotics or autonomous drones.
 
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