International audienceIn recent years, a large number of works have surfaced demonstrating applications of machine learning in the field of integrated circuit testing. Many of these works showcase the effectiveness of machine learning compared to the current industry practice on actual case studies with industrial data. The aim of the paper is to offer a concise and comprehensive tutorial on machine learning applications in integrated circuit testing and to provide some practical recommendations for practitioners
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Syste...
Analog post-silicon validation and testing of high-speed input/output (HSIO) links in high-performan...
International audienceMachine learning indirect test replaces costly specification measurements by s...
The final goal of the thesis should be a real-world application in the production test data environm...
Over the last decade there has been a surge of activity in employing advanced statistical analysis a...
International audienceTesting analog, mixed-signal and RF circuits rep- resents the main cost compon...
Publisher Copyright: © 2022 IEEE.With advancements in science, machine learning and artificial intel...
Recent breakthroughs in machine learning (ML) technology are shifting the boundaries of what is tec...
This dissertation focuses on Domain-Specific Machine Learning (DSML) with applications in the semico...
International audienceIn this article, we leverage the power of machine learning algorithms to propo...
Compliance to electromagnetic compatibility (EMC) standards is a fundamental requirement for modern ...
Thesis (M.S.), Electrical Engineering, Washington State UniversityThis thesis introduces an alternat...
Main focus of modern manufacturing companies like the semiconductor industry is put on the automatio...
The purpose of this study is to make precise estimations of the amount of power consumed by CMOS VLS...
As in today's semiconductor industries test costs can make up to 50 percent of the total production ...
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Syste...
Analog post-silicon validation and testing of high-speed input/output (HSIO) links in high-performan...
International audienceMachine learning indirect test replaces costly specification measurements by s...
The final goal of the thesis should be a real-world application in the production test data environm...
Over the last decade there has been a surge of activity in employing advanced statistical analysis a...
International audienceTesting analog, mixed-signal and RF circuits rep- resents the main cost compon...
Publisher Copyright: © 2022 IEEE.With advancements in science, machine learning and artificial intel...
Recent breakthroughs in machine learning (ML) technology are shifting the boundaries of what is tec...
This dissertation focuses on Domain-Specific Machine Learning (DSML) with applications in the semico...
International audienceIn this article, we leverage the power of machine learning algorithms to propo...
Compliance to electromagnetic compatibility (EMC) standards is a fundamental requirement for modern ...
Thesis (M.S.), Electrical Engineering, Washington State UniversityThis thesis introduces an alternat...
Main focus of modern manufacturing companies like the semiconductor industry is put on the automatio...
The purpose of this study is to make precise estimations of the amount of power consumed by CMOS VLS...
As in today's semiconductor industries test costs can make up to 50 percent of the total production ...
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Syste...
Analog post-silicon validation and testing of high-speed input/output (HSIO) links in high-performan...
International audienceMachine learning indirect test replaces costly specification measurements by s...