Search Results for author:
Found 3 papers, 0 papers with code
LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debugging
To address these challenges, we propose a unique approach to compile a dataset of open source hardware design defects and their remediation steps, utilizing version control data.
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge
The creation of this first pretrained, hardware domain specific large language model marks a significant advancement, offering improved performance in hardware design and verification tasks and illustrating a promising path forward for AI applications in the semiconductor sector.
Contour Loss for Instance Segmentation via k-step Distance Transformation Image
Instance segmentation aims to locate targets in the image and segment each target area at pixel level, which is one of the most important tasks in computer vision.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
