CORDIS Project
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This project develops testing strategies for mixed-signal and radio-frequency integrated devices using machine learning. It focuses on online testing of circuits within systems and testing of micro-electro-mechanical systems, aiming to improve reliability and address emerging challenges in device testing.
This project aims to develop test strategies for mixed-signal/radio-frequency (RF) integrated devices using machine learning.
The proposed efforts will be directed to two main areas, namely (a) the on-line test of mixed-signal/RF circuits when they are embedded in a System-on-Chip (SoC) or a System-in-Package (SiP) that demands high reliability and (b) the testing of RF micro-electro-mechanical systems (MEMS).
The key novelty of this interdisciplinary project lies in the amalgamation of concept…
INSTITUT POLYTECHNIQUE DE GRENOBLE
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