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Adaptive Test Gains Ground


Not all devices get tested the same way anymore, and that’s a good thing. Quality, test costs, and yield have motivated product engineers to adopt test processes that fall under the umbrella of adaptive test, which uses test data to modify a subsequent test process. But to execute such techniques requires logistics that support analysis of data, as well as enabling changes to a test based ... » read more

Using Fab Sensors To Reduce Auto Defects


The semiconductor manufacturing ecosystem has begun collaborating on ways to effectively use wafer data to meet the stringent quality and reliability requirements for automotive ICs. Silicon manufacturing companies are now leveraging equipment and inspection monitors to proactively identify impactful defects prior to electrical test. Using machine learning techniques, they combine the monitor ... » read more

Grading Chips For Longer Lifetimes


Figuring out how to grade chips is becoming much more difficult as these chips are used in applications where they are supposed to last for decades rather than just a couple of years. During manufacturing, semiconductors typically are run through a battery of tests involving performance and power, and then priced accordingly. But that is no longer a straightforward process for several reason... » read more

Extreme Quality Semiconductor Manufacturing, Part 1: Automotive


By Ben Tsai and Cathy Perry Sullivan Across the full range of semiconductor device types and design nodes, there is a drive to produce chips with significantly higher quality. Automotive, IoT and other industrial applications require chips that achieve very high reliability over a long period of time, and some of these chips must maintain reliable performance while operating in an environmen... » read more