<ul><li>The Kolmogorov-Arnold Network (KAN) is a new architecture from MIT that promises to revolutionize neural networks.</li><li>KAN redefines the role of activation functions by incorporating univariate functions that act as both weights and activation functions.</li><li>This innovative approach allows for activation at edges and modular non-linearity, potentially enhancing learning dynamics and input influence on outputs.</li><li>KAN has the potential to enable networks that are fundamentally more capable of handling complex tasks.</li></ul>

A Simplified Explanation Of The New Kolmogorov-Arnold Network (KAN) from MIT

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