Any word on how the accuracy/quality of final results compare to traditional flows? Are process variations handled differently (with regards to training or modelling) compared to IR? I assume traditional vendors (CDNS/SNPS/MENT) all have (or working on) AI driven tools as well. How do they compare?
In general, a function approximation solution like deep learning does worse on cases where exhaustively finding the exact optimum is possible (small combinatorial problems), but can be applied to much larger instances than the exact algorithms can.
Comments
Any word on how the accuracy/quality of final results compare to traditional flows? Are process variations handled differently (with regards to training or modelling) compared to IR? I assume traditional vendors (CDNS/SNPS/MENT) all have (or working on) AI driven tools as well. How do they compare?
In general, a function approximation solution like deep learning does worse on cases where exhaustively finding the exact optimum is possible (small combinatorial problems), but can be applied to much larger instances than the exact algorithms can.