Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation ...

will this approach work out? Dave McCarthy, IDC's Cloud and Edge Services research vice president, thinks so: "Red Hat's acquisition of Neural Magic is a strategic enhancement to its AI ...

Inspired by the brain, neural networks are essential for recognizing images and processing language. These networks rely on activation functions, which enable them to learn complex patterns. However, ...

Abstract: In this letter, we experimentally demonstrated the viability of the optoelectronic nonlinear activation module in optical neural networks. By adopting the beam splitter, photo-diode, ...

This layer employs an efficient embedded Gumbel-Softmax technique for discrete sampling and differentiable approximation. To prevent the introduction of duplicate channels, we impose penalties on the ...