End-to-end integration might be the ultimate vision in chip and system development, but in the race for better performance and efficiency, there’s another crucial transformation often overlooked — the adoption of advanced statistical methods. These approaches revolutionize how design and planning are executed in VLSI and embedded systems by enabling predictive insights instead of relying solely on historical trends. From yield estimation to power-performance optimization, statistical modeling delivers enhanced accuracy, automation, and confidence — especially in early-stage design forecasting.
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