
Read the Siemens EDA white paper ‘How AI is transforming IC sign-off and manufacturing’
To achieve this, open, secure, and customizable AI capabilities are specifically integrated throughout the entire process, from design to manufacturing. This helps shorten development times and improve yield, while ensuring that control over critical decisions remains with humans. From AI-assisted physical verification, which categorizes violations by their causes, to machine learning that accelerates Optical Proximity Correction (OPC) by two-thirds or more: These solutions augment engineers’ expertise rather than replacing it.
In the future, AI will evolve from a targeted tool into a predictive engine that covers the entire design lifecycle. This will enable teams to make data-driven decisions that optimally balance performance, power consumption, and cost, while simultaneously reducing the number of respins and shortening time-to-silicon.
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Related Links
👉 Read the white paper “How AI is transforming IC signoff and manufacturing”
👉 www.siemens.com/software
👉 www.siemens.com/de-de/technology/electronic-design-automation-eda/
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