Abstract: Approximate computing benefits applications that are, to some extent, error tolerant with regard to accuracy by trading power for accuracy. In this paper, a ...
A new study digs into why modern AI models stumble over multi-digit multiplication and what kind of training finally makes ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Abstract: This paper presents an energy-efficient FPGA-based hardware accelerator for the convolutional layers of the U-Net architecture used in image segmentation. While digit-serial ...