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(Artificially) Intelligent Verification

By Brian Bailey, Semiconductor Engineering

While it seems like an obvious application, utilizing data for verification is highly nuanced and harder than it looks.

Functional verification produces a lot of data, but does that make it suitable for Artificial Intelligence (AI) or Machine Learning (ML)? Experts weigh in about where and how AI can help and what the industry could do to improve the benefits.


Acquiring sufficient amounts of good data is only part of the challenge, though. “It’s important to look at what questions you want to ask about the data,” says Raik Brinkmann, president and CEO of OneSpin Solutions. “You can run your simulation or emulation and you get these traces, but what’s there to be asked? What’s the thing that you want to know about it?”



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