Hardware Debugging

Hardware debugging encompasses the process of identifying and rectifying errors in hardware designs and implementations, aiming to improve efficiency, reliability, and security. Current research focuses on leveraging machine learning, particularly large language models and explainable vision systems, to automate defect detection and accelerate the testing process, often incorporating techniques like coverage-directed test selection and novelty-driven verification. These advancements are crucial for addressing the increasing complexity of hardware systems and ensuring the trustworthiness of integrated circuits across various applications, from neural network accelerators to biomedical devices.