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AI技能加速发展.pdf

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1、Executive ConferenceArtificialArtificialIntelligenceIntelligenceexplore the power of AI to transform semiconductor design&manufacturingAndrzej StrojwasAndrzej StrojwasEVP and CTO,PDF SolutionsPresentationPresentationAccelerating AI Skills DevelopmentThis presentation and discussions resulting from i

2、t may include 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 rel

3、ease,new product 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 o

4、n current prioritizations 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

5、owners.Exensio visualizations Powered by TIBCO.2024 PDF Solutions,Inc.or its subsidiaries.All rights reserved.Situation&Situation&ChallengesChallengesCopyright PDF Solutions 2024Situational AnalysisSituational AnalysisChips Act(s)are being enacted around the world bringing advanced manufacturing int

6、o new regions.Graduating engineers have very little training on IC manufacturing dataNewly announced fabs are targeted to be foundries,handling many different chips instead of integrated device manufacturers(IDM)that build just a few chip designsManufacturers internal systems and software are not mo

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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对行业的影响。首先指出了全球半导体行业面临的挑战,如人才短缺、制造数据缺乏、以及内部系统和软件的现代化问题。接着介绍了PDF Solutions与CMU合作开设的研究生课程,该课程通过实际案例挑战学生运用Exensio数据分析和机器学习模型开发。案例包括使用Intel提供的实际数据集,通过预测模型减少组装缺陷ive die的成本。结果显示,80%的2023年12月毕业生加入了半导体公司,其中25%的学生获得了PDF或其子公司的实习或工作机会。最后,文章提出了扩大课程、培养能够使用软件现代化的半导体工作人才、建立研究社区以及推动21世纪美国foundry的测试和产品工程发展的计划。
如何通过AI技能加速半导体设计与制造? 未来半导体行业人才缺口如何填补? AI在半导体制造数据分析中扮演什么角色?
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