With edge computing, real-time inference of deep neural networks (DNNs) on custom hardware has become increasingly relevant. Smartphone companies are incorporating artificial intelligence (AI) chips ...

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...

Running advanced AI models on everyday laptops is now achievable due to advancements in optimization methods. Prompt Engineering examines how techniques like selective quantization and SSD streaming ...