Optimizing neural network architectures improves AI efficiency and scalability, reducing computational costs, speeding up training, and enabling broader deployment across devices, from edge to cloud.
Optimizing neural network architectures improves AI efficiency and scalability, reducing computational costs, speeding up training, and enabling broader deployment across devices, from edge to cloud.