How to speed up the design and verification of a high-performance AI chip.
As we move to a data-centric world, semiconductor companies across the globe are working at a furious pace to develop and manufacture Artificial Intelligent [AI] chips. AI is all about an algorithm that mimics a human’s ability to learn and decide. For example, AI can be used to interpret and understand an image that helps a doctor make a better diagnosis for a patient. This requires chips to handle massive amounts of mathematical computations to find patterns and make inferences. Hence, AI chips pack a tremendous amount of computing power that provides the ability to quickly process large amounts of data. The requirement to add more functionality on a chip drives chip designers to move to the cutting edge of process technology. This in turn increases the physical verification complexity.
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