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Mike Bartley

As seen in: Kickstarter, EE Times, EIN Presswire, EE Times Asia, DataQuest India, Double Take with Mike and Max
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Articles

AI in Design Verification Shifts Focus from Task Automation to Measurable Capability

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By Mike Bartley
| EE Times Asia
Article By : Mike Bartley AI adoption in design verification increasingly depends on measurable engineering outcomes rather than productivity gains alone. AI in design verification, or “AI in DV”, has moved from speculative discussion into practical engineering trials. Verification teams are already examining AI-assisted approaches for regression triage, debug support, coverage analysis, failure clustering, log summarization, and knowledge retrieval.
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AI in Design Verification: From Experimentation to Measurable Capability

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By Mike Bartley
| EE Times Verified
designLines AI & Big Data Designline AI in design verification no longer asks if AI helps tasks, but does it measurably improve real verification flows?
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Where AI Actually Delivers in Design Verification

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By Mike Bartley
| EE Times Asia
AI has moved from theory to practical assistance in parts of design verification. This matters because verification remains one of the most time- and resource-intensive parts of front-end IC development, with functional verification still consuming the largest share of effort in many real workflows. The attraction is clear: Any tool that can reduce manual debugging, accelerate coverage closure, or shorten regression cycles will get serious attention from engineering teams.
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