Abstract: In deep learning models, the increasing complexity of activation functions makes hardware optimization crucial. This paper proposes an efficient computation framework for 4 elementary ...
Abstract: Nonlinear function approximation has been studied for decades. With the rise of transformer-based AI models, the need for efficient, low-complexity circuit implementations for functions like ...
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