Title
Special Session: Machine Learning for Semiconductor Test and Reliability
Abstract
With technology scaling approaching atomic levels, IC test and diagnosis of complex System-on-Chips (SoCs) become overwhelming challenging. In addition, sustaining the reliability of transistors as well as circuits at such extreme feature sizes, for the entire projected lifetime, also become profoundly difficult. This holds even more when it comes to emerging technologies that go beyond convection...
Year
DOI
Venue
2021
10.1109/VTS50974.2021.9441052
2021 IEEE 39th VLSI Test Symposium (VTS)
Keywords
DocType
ISSN
Degradation,Neural networks,Machine learning,Very large scale integration,System-on-chip,Transistors,Integrated circuit reliability
Conference
1093-0167
ISBN
Citations 
PageRank 
978-1-6654-1949-9
0
0.34
References 
Authors
0
10