Marcello Traiola

PERTINENCE method optimizes DNN efficiency by dynamically selecting models

Researchers have developed PERTINENCE, a novel runtime method designed to optimize the computational efficiency of deep neural networks (DNNs). This technique dynamically selects the most appropriate model from a pre-tr…