Can AI Deliver 10x Improvement to Chip Design? Executive Summary This paper evaluates whether AI engineering systems can deliver an order-of-magnitude improvement in semiconductor front-end developmen
It is undeniable that AI demonstrates remarkable effectiveness when protocols are clearly defined, data is structured, and tasks involve handling repetitive human efforts, such as regressions.
Questions regarding its applicability to debugging for failures, integrity checks/checkers (what if flaw in it) and DV efforts for custom designs where no standard protocols, data is defined.
I believe generating tests based on RTL is not the correct approach; rather, it should be based on specifications, feature lists, and documented definitions.
It is undeniable that AI demonstrates remarkable effectiveness when protocols are clearly defined, data is structured, and tasks involve handling repetitive human efforts, such as regressions.
Questions regarding its applicability to debugging for failures, integrity checks/checkers (what if flaw in it) and DV efforts for custom designs where no standard protocols, data is defined.
I believe generating tests based on RTL is not the correct approach; rather, it should be based on specifications, feature lists, and documented definitions.