Making Sure AI/ML Works In Test Systems


Artificial intelligence/machine learning is being utilized increasingly to find patterns and outlier data in chip manufacturing and test, improving the overall yield and reliability of end devices. But there are too many variables and unknowns to reliably predict how a chip will behave in the field using just AI. Today, every AI use case — whether a self-driving car or an industrial sortin... » read more

Finally, Analyzing All Test And Manufacturing Data Automatically


Product quality and yield, operational efficiency, and time-to-market continue to be dominant drivers in the semiconductor industry. Adding to this complexity is a diverse manufacturing and test supply-chain of independent providers all continuously generating enormous amounts of different types of chip-related data in various formats. The knowledge contained within this data is critical to pro... » read more

Predicting And Avoiding Failures In Automotive Chips


Semiconductor Engineering sat down to discuss automotive electronics reliability with Jay Rathert, senior director of strategic collaborations at KLA; Dennis Ciplickas, vice president of advanced solutions at PDF Solutions; Uzi Baruch, vice president and general manager of the automotive business unit at OptimalPlus; Gal Carmel, general manager of proteanTecs' Automotive Division; Andre van de ... » read more

Part Average Tests For Auto ICs Not Good Enough


Part Average Testing (PAT) has long been used in automotive. For some semiconductor technologies it remains viable, while for others it is no longer good enough. Automakers are bracing for chips developed at advanced process nodes with much trepidation. Tight control of their supply chains and a reliance upon mature electronic processes so far have enabled them to increase electronic compone... » read more

What Do Feedback Loops For AI/ML Devices Really Show?


AI/ML is being designed into an increasing number of chips and systems these days, but predicting how they will behave once they're in the field is, at best, a good guess. Typically, verification, validation, and testing of systems is done before devices reach the market, with an increasing amount of in-field data analysis for systems where reliability is potentially mission- or safety-criti... » read more

Automotive Test Moves In-System


With the electrification of automobiles, it’s not enough to test the new electronics thoroughly at the end of the manufacturing process. Safety standards now require that tests be performed live, in the field, with contingency plans should a test fail. “We see clear demand from the automotive semiconductor supply chain for design functionality specifically aimed at in-system monitoring,�... » read more

Why Improving Auto Chip Reliability Is So Hard


Tools and ecosystems that focus on reliability and the long-term health of chips are starting to coalesce for the automotive electronics industry. Data gleaned from a chip’s lifecycle — design, verification, test, manufacturing, and in-field operation — will become key to achieving the longevity, reliability, functional safety, and security of newer generations of automobiles. Having s... » read more

Demystifying ADC


ADC stands for automatic defect classification. It’s a software that classifies defects based on image and metadata such as location, ROI, and other information associated with a defect. ADC is not a mysterious black box that’s impossible to understand. Instead, ADC classifies defects the same way a human operator does, by first being trained by an expert. Then, just like human classificati... » read more

Data Issues Mount In Chip Manufacturing


For yield management systems the old calculation adage, "garbage in/garbage out" still rings true. Aligning and cleaning data remains a dirty business. With the increased value in data in the semiconductor supply chain, there now are essentially two supply chains running in parallel. One involves the physical product being created, while the other includes the data associated with each proce... » read more

A View Across The Siliconscape


What would it look like if you had the magical ability to look inside a chip and cast your eyes across the tumultuous activities within the silicon itself? If you could gaze into the die and see the real-time peaks and troughs of voltage supply, stressed areas with high activity and heat and areas of calm where uneven workloads create idle processor cores. A vision of the chip landscape, seasca... » read more

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