Abstract: In medical imaging, diagnostic accuracy depends on clear images, which are frequently damaged by noise. To address this researchers have developed a number of noise reduction techniques, ...

Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...