Researchers from Columbia University and Google have developed an agentic AI system that automates the analysis and debugging of RTL (Register Transfer Level) waveforms in semiconductor design. The technology aims to reduce the manual effort required in chip verification by enabling AI agents to autonomously identify and troubleshoot issues in hardware designs. This advancement could streamline the semiconductor development process and improve efficiency in chip design workflows.
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