Addressing complex interfaces and memory protocols for SoCs, 3D-ICs, chiplets, and FW/SW integration.
In today’s rapidly advancing digital landscape, the role of functional verification has never been more critical. As systems become increasingly complex, ensuring their reliability and performance poses significant challenges for both design and verification engineers. The stakes are high; verification failures can lead to costly recalls, safety risks, and damage to brand reputation. The latest Wilson Research numbers show the amount of right-first-time silicon projects falling to 14% — its lowest level since the study began over 20 years ago — and 75% of ASIC projects are behind schedule. In response to these challenges, the industry is on the brink of a revolutionary shift driven by artificial intelligence (AI).
Considering these newly available AI capabilities, Siemens EDA is introducing new innovations and an approach that will transform established norms and break free of constraints that have become entrenched in the industry over the last three decades. We are enabling organizations to enhance accuracy, reduce time-to-market, and improve overall productivity. By leveraging data-driven approaches and machine learning (ML) algorithms, verification teams can gain insights previously unattainable and streamline workflows that have historically been time-consuming and error-prone.
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