
The Potential of Kolmogorov-Arnold Networks
In the expansive landscape of artificial intelligence, the pursuit of optimizing neural networks is as relentless as it is crucial. The traditional stalwarts of this realm, Multi-Layer Perceptrons (MLPs), though foundational, are not without their limitations—chief among them being their opacity and inefficiency in parameter use. However, a groundbreaking study (not exaggerating) from a team […]
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