Automation of Pre- and Post-Silicon Verification using Artificial Intelligence Methods

Abstract

The core of the research focuses on the integration of Artificial Intelligence (AI) to facilitate the (semi-)automation of analog circuit design. Specifically, the project explores AI-based methodologies for the multi-criteria optimization of circuit element sizing, allowing for a more robust and efficient design process compared to traditional manual iterations. Furthermore, the scope extends to the automation of pre- and post-silicon verification phases. By leveraging AI-driven techniques in the verification pipeline, the project seeks to identify potential failures earlier and streamline the transition from design to hardware.

Research Domains