ITC-Asia 2020 Committees
2020 IEEE International Test Conference in Asia (ITC-Asia)
Applying machine learning to improve test data analytics has been a hot topic in recent years. This talk presents the idea of Intelligent Engineering Assistant (IEA) in view of applying machine learning in test data analytics. IEA is an AI agent that can act as a surrogate for an engineer to perform a specific analytics task. IEA is an autonomous system where the executable workflow component is enabled with machine learning models capturing human perception. In other words, machine learning is
... employed in IEA to model human perception and to enable automation of the workflow. Using analytics on wafer plots as an example, this talk presents various ideas and an IEA platform to apply machine learning which enables plot-based analytics in applications to actual semiconductor chip product lines. Abstract: Design, fabrication, assembly, test, and debug of integrated circuits and systems have become distributed across the globe, raising major concerns about their security and trustworthiness. Such systems are prevalent is many critical-mission infrastructures, in which they require long and secure operation life. In this talk, we will provide a detailed overview of the challenges in today's global electronics supply chain, then discuss the need for establishing hardware root of trust within cyber domain. Notably, we will present innovative methods to demonstrate authentication and trust verification for integrated circuits and systems during their lifecycle.