Author's Latest Posts


Data Feed Forward And How It Works: Part 2


As chiplets and advanced packaging redefine semiconductor architecture, managing complexity isn’t just about the silicon—it’s about the data. Modern multi-die packages often contain components from different vendors, integrated in 2.5D or 3D configurations. Each die brings its own risks, and diagnosing issues after assembly is increasingly difficult—especially when data isn’t share... » read more

Data Feed Forward And How It Works: Part 1


With data analytics, manufacturers can gain unparalleled insights into their testing processes, identify patterns, predict failures, and optimize operations. From improving yield rates to reducing testing costs, data analytics not only enhance the quality of semiconductor devices but also drives innovation and competitiveness in the industry. Traditionally, data analytics has been performed ... » read more

The Data Dilemma In Semiconductor Testing And Why It Matters: Part 2


In Part 1, we explored the challenges of implementing machine learning and real-time analytics in semiconductor testing—chiefly, the difficulty of transferring device test data across multiple locations and organizations. In this post, we introduce Data Feed Forward (DFF) as it applies to ACS Advantest. What is ACS DFF? ACS DFF is a cloud-enabled solution designed to simplify, secure... » read more

The Data Dilemma In Semiconductor Testing And Why It Matters: Part 1


In today’s semiconductor industry, machine learning (ML) is no longer a buzzword — it’s an operational necessity. From optimizing test flows to identifying device drifts and executing advanced analytics like VMIN or trimming, ML-based applications are increasingly used to boost yields, improve quality, and lower test costs. But there’s a catch. To make these intelligent applications ... » read more