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Using Data And AI More Effectively In EDA
Summary by Semiconductor Engineering
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1 Articles
Using Data And AI More Effectively In EDA
Key Takeaways The data being produced by EDA tools tends to be for human consumption and has weak semantics. Agents are attempting to create actionable information from unstructured data. The Model Context Protocol may provide AI with access to better data. Semiconductor design generates a lot of data, but how much of that is useful or currently being used by AI tools? And how much more productive could it be with different or more accessible d…
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