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AI在测试领域:突破挑战探索新方法.pdf

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1、Executive ConferenceArtificialArtificialIntelligenceIntelligenceexplore the power of AI to transform semiconductor design&manufacturingMarc JacobsMarc JacobsFabless SolutionsAI for TestAI for TestChallenges&ApproachesChallenges&ApproachesThis presentation and discussions resulting from it may includ

2、e future product features or fixes,or the expected timing of future releases.This information is intended only to highlight areas of possible future development and current prioritizations.Nothing in this presentation or the discussions stemming from it are a commitment to any future release,new pro

3、duct features or fixes,or the timing of any releases.Actual future releases may or may not include these product features or fixes,and changes to any roadmap or timeline are at the sole discretion of PDF Solutions,Inc.and may be made without any requirement for updating.For information on current pr

4、ioritizations and intended future features or fixes,contact .PDF Solutions,Exensio,CV,Cimetrix,the PDF Solutions logo,and the Cimetrix logo are registered trademarks of PDF Solutions,Inc.or its subsidiaries.All other trademarks cited in this document are the property of their respective owners.Exens

5、io visualizations Powered by TIBCO.2024 PDF Solutions,Inc.or its subsidiaries.All rights reserved.Challenges&Challenges&ApproachesApproachesCopyright PDF Solutions 2024Market:System Quality,Cost,DifferentiationMarket:System Quality,Cost,DifferentiationAdaptive TestingAdaptive TestingChiplet Matching

6、/Characterized KGD(cKGD)*/System BinningChiplet Matching/Characterized KGD(cKGD)*/System BinningPredictive BurnPredictive Burn-in/Binning/Systemin/Binning/System-level Testlevel TestSystemSystemWaferWaferChipletChiplet*Source:*Source:Intel,ERI Summit 2023Copyright PDF Solutions 2024InfrastructureInf

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本文主要探讨了人工智能在半导体设计和制造领域的应用及其挑战和解决方法。文中提到了AI在测试、系统质量、成本和差异化方面的作用,以及适应性测试、芯片匹配/已认证的硅封装系统(cKGD)和系统分级的预测性燃烧测试等应用。同时,文章也指出了在复杂的分布式供应链中追踪问题、从小数据中学习、跨工厂和设计学习以及平衡AI/ML和人类知识等挑战。最后,文中列举了几个关键人物,包括PDF Solutions的Ming Zhang、Qualcomm的Michael Campbell、Cerebras Systems的Jean-Philippe Fricker和Intel的Aziz M. Safa等,他们在AI在半导体领域的应用和发展方面有着丰富的经验和深厚的专业知识。
"AI如何改变半导体设计与制造?" "半导体行业中的AI挑战与解决方案是什么?" "AI在半导体测试中的应用有哪些?"
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