Recent years have seen a phenomenal rise in the performance and applications of
transformer neural networks. The family of transformer networks, including Bidirectional …

Large Language Models (LLMs) have emerged as powerful tools for natural language
processing tasks, revolutionizing the field with their ability to understand and generate …

Artificial intelligence hardware accelerator is an emerging research for several applications
and domains. The hardware accelerator's direction is to provide high computational speed …

Liver cancer is one of the most common malignant diseases worldwide. Segmentation and
reconstruction of liver tumors and vessels in CT images can provide convenience for …

The Vision Transformer (ViT) models have demonstrated excellent performance in computer
vision tasks, but a large amount of computation and memory access for massive matrix …

The design of convolutional neural network (CNN) hardware accelerators based on a single
computing engine (CE) architecture or multi-CE architecture has received widespread …

Recently, transformer-based models have achieved remarkable success in various fields,
such as computer vision, speech recognition, and natural language processing. However …

High Energy Physics studies the fundamental forces and elementary particles of the
Universe. With the unprecedented scale of experiments comes the challenge of accurate …

Attention mechanism acceleration is becoming increasingly vital to achieve superior
performance in deep learning tasks. Existing accelerators are commonly devised …

We address the challenges associated with deploying neural networks on CPUs, with a
particular focus on minimizing inference time while maintaining accuracy. Our novel …