AI Powered THz VLSI Testing Technology

Naznin Akter, M. Karabiyik, M. Shur, J. Suarez, N. Pala
{"title":"AI Powered THz VLSI Testing Technology","authors":"Naznin Akter, M. Karabiyik, M. Shur, J. Suarez, N. Pala","doi":"10.1109/NATW49237.2020.9153077","DOIUrl":null,"url":null,"abstract":"Increasing complexity of digital and mixed-signal systems makes establishing the authenticity of a chip to be a challenging problem. We present a new terahertz testing technique for non-destructive identification of genuine integrated circuits, in package, in-situ and either with no or under bias, by measuring their response to scanning terahertz and sub-terahertz radiation at the circuit pins. This novel, patent pending non-invasive nondestructive technology when merged with Artificial Intelligence (AI) engine will evolve and self-improve with each test cycle. By establishing and AI processing of the THz scanning signatures of reliable devices and circuits and comparing this signatures with devices under test using AI, this technology could be also used for reliability and lifetime prediction.","PeriodicalId":147604,"journal":{"name":"2020 IEEE 29th North Atlantic Test Workshop (NATW)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 29th North Atlantic Test Workshop (NATW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NATW49237.2020.9153077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Increasing complexity of digital and mixed-signal systems makes establishing the authenticity of a chip to be a challenging problem. We present a new terahertz testing technique for non-destructive identification of genuine integrated circuits, in package, in-situ and either with no or under bias, by measuring their response to scanning terahertz and sub-terahertz radiation at the circuit pins. This novel, patent pending non-invasive nondestructive technology when merged with Artificial Intelligence (AI) engine will evolve and self-improve with each test cycle. By establishing and AI processing of the THz scanning signatures of reliable devices and circuits and comparing this signatures with devices under test using AI, this technology could be also used for reliability and lifetime prediction.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能驱动的太赫兹VLSI测试技术
数字和混合信号系统的复杂性日益增加,使得建立芯片的真实性成为一个具有挑战性的问题。我们提出了一种新的太赫兹测试技术,通过测量它们对电路引脚处扫描太赫兹和次太赫兹辐射的响应,用于无损识别真正的集成电路,在封装中,原位,无偏置或有偏置。当与人工智能(AI)引擎相结合时,这种新颖的、正在申请专利的非侵入性无损技术将在每个测试周期中不断发展和自我完善。通过建立和人工智能处理可靠设备和电路的太赫兹扫描签名,并使用人工智能将该签名与测试设备进行比较,该技术还可用于可靠性和寿命预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Verification and Testing Considerations of an In-Memory AI Chip AI Powered THz VLSI Testing Technology [Copyright notice] Characterization of Thermal Runaway in a Ge Photodiode for Si Photonics Self-heating characterization and its applications in technology development
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1