AI Powered THz VLSI Testing Technology

Naznin Akter, M. Karabiyik, M. Shur, J. Suarez, N. Pala
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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.
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。
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