Siilcon Chip Design and Verification (Image: Synopsys)
By Ron Wilson
What’s at Stake:
Advances in AI could change the way chips are designed, potentially slashing design time, engineering staffing, and risk. Or they could be a huge, expensive distraction. Either way, AI is attracting attention and investment in the chip-design community.
Ever since the explosive debut of ChatGPT, a cascade of punditry — with varying degrees of information and understanding — has told us that this changes everything about creative human activities. Given the enormous investment and risk going into chip design in the semiconductor industry, we need to ask just how advances in AI will affect electronic design automation (EDA) — the engine that makes chip design possible.
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