In today's landscape, smartphones have evolved into hubs for hosting a multitude of deep
learning models aimed at local execution. A key realization driving this work is the notable …

Deep learning has become the cornerstone of artificial intelligence, playing an increasingly
important role in human production and lifestyle. However, as the complexity of problem …

Large Language Models (LLMs) like GPT and LLaMA are revolutionizing the AI industry with
their sophisticated capabilities. Training these models requires vast GPU clusters and …

Deep Learning (DL) is increasingly being integrated into Web applications through a
method known as" in-browser inference", where the DL processes occur directly within Web …

Web applications have increasingly adopted Deep Learning (DL) through in-browser
inference, wherein DL inference performs directly within Web browsers. The actual …

Recent advances in large language models have brought immense value to the world, with
their superior capabilities stemming from the massive number of parameters they utilize …

Large language models (LLMs) have demonstrated powerful capabilities, requiring huge
memory with their increasing sizes and sequence lengths, thus demanding larger parallel …

Deep learning is experiencing a rise in foundation models that are expected to lead in
various fields. The massive number of parameters necessitates the use of tensor model …

The rapid advancements in artificial intelligence, big data analytics, and cloud computing
have precipitated an unprecedented demand for computational resources. However, the …

In the current AI era, mobile devices such as smartphones are tasked with executing a
myriad of deep neural networks (DNNs) locally. It presents a complex landscape, as these …