Artificial Intelligence in Semiconductor Equipment

    The Chip Insider®
    August 14, 2020 — Strategy and Tactics: Artificial Intelligence in Semiconductor Equipment. WildPhotons: All memorable events transpire in ...
    G Dan Hutcheson G. Dan Hutcheson
    Summaries:
    Artificial Intelligence in Semiconductor Equipment: AI has made amazing progress in recent years due to a combination of its ability to solve complex problems and Moore's Law delivering the compute power to make it cost effective. Problems costing millions of dollars to solve a decade ago can now be cost-effectively run in a GPU and it's heading to an app processor near you. But AI has also become a PR bandwagon, where some propound it can be — or will be — better than humans at solving just about any problem. Now certainly, AI will be a great driver going forward, as John Kelly, Jensen Huang, and Gary Dickerson were the first to point out. But there's a big difference between AI being a driver and it being smarter than humans. We look where it's being successfully being applied in semiconductor equipment and critical subsystems, where AI is failing, and why. Also, rules for how and when to apply AI versus when one should use RI.

    Artificial Intelligence in Semiconductor Equipment


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