Andes Y. L. Kei, Sherman S. M. Chow PAPER SHAFT: Secure, Handy, Accurate and Fast Transformer Inference Adoption of transformer-based machine learning models is growing, raising concerns about ...

Ultra-low-power TMR switches enable reliable CGM activation by minimizing energy consumption while maintaining accurate, responsive device performance.

Abstract: Smooth activation functions such as Swish, GELU, and Tanhexp have emerged as effective alternatives to ReLU, alleviating issues such as dying ReLU and gradient vanishing while improving ...

Abstract: Activation functions are fundamental components of deep neural networks, providing the nonlinear transformations that enable complex representation learning and strongly influence model ...