Podcast EP279: Guy Gozlan on how proteanTecs is Revolutionizing Real-Time ML Testing
Dan is joined by Guy Gozlan, proteanTecs director of machine learning and algorithms, overseeing research, implementation, and infrastructure of machine learning solutions. Prior to proteanTecs he was project lead at Apple, focusing on ATE optimizations using embedded software and machine learning and embedded software engineering at Mellanox.
In this informative discussion, Guy explains how the unique proteanTecs embedded agent technology is applied to chip testing. Guy explains that as complexity in devices rise, test time and cost also rise, creating trade-offs. If the tests aren’t robust, yield will suffer, creating more challenges. Yet, the mission critical nature of many new designs also demands the highest quality and reliability, further stressing test requirements. And multi-chip packaging adds additional complications with the lack of visibility onto individual devices and interconnects.
Dan explores with Guy how proteanTecs’ solution effectively addresses these challenges with deep-data analytics. By measuring and predicting chip behavior in advance, the company enables a shift-left test strategy to catch errors early, reducing costs and improving reliability of the devices. A combination of the company’s embedded agents, IP, cloud-based analytics and sophisticated machine learning (ML) models create an end-to-end solution that can be applied real-time, in real-world conditions to continuously improve effectiveness of testing and final device quality.
To learn more about this strategy, read the white paper: Cut Defects Not Yield: Outlier Detection with ML Precision
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