Using ML In Manufacturing


How to prevent early life failures by applying machine learning to different use cases, and how to interpret models for different tradeoffs on reliability. Jeff David, vice president of AI solutions at PDF Solutions, digs down into how to utilize data to improve reliability. » read more

Spreading Out The Cost At 3nm


The current model for semiconductor scaling doesn't add up. While it's possible that markets will consolidate around a few basic designs, the likelihood is that no single SoC will sell in enough volume to compensate for the increased cost of design, equipment, mask sets and significantly more testing and inspection. In fact, even with slew of derivative chips, it may not be enough to tip the ec... » read more

Improving Reliability For GaN And SiC


Suppliers of gallium nitride (GaN) and silicon carbide (SiC) power devices are rolling out the next wave of products with some new and impressive specs. But before these devices are incorporated in systems, they must prove to be reliable. As with previous products, suppliers are quick to point out that the new devices are reliable, although there are some issues that can occasionally surface... » read more

Trustworthy Electronics


Global supplier networks are a key feature of the development of integrated electronic components today. Even in times of ever more complex trade relationships, supply chains must still function effectively. At the same time, it is necessary to achieve the technological advances required for the development of new products and maintain technological sovereignty. In view of the increasing dig... » read more

Liability And Reliability


As systems vendors accelerate the development of their own architectures, semiconductor companies across the supply chain are getting a seat at the table for architecting the engines in those systems. Rather than competing for a socket, they are directly involved in strategizing the optimal solution that can make a systems vendor or OEM more competitive or far more efficient. That gives the dev... » 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

Yield And Reliability Challenges At 7nm And Below


Layout Design Rules have been scaled very aggressively to enable the 7nm technology node without EUV. As a result, achieving acceptable performance and yield in High Volume Manufacturing (HVM) has become an extremely challenging task. Systematic yield and parametric variabilities have become quite significant. Moreover, due to overlay tolerance requirements and diminishing process windows, reli... » read more

Cleaning Data For Final Test


John O’Donnell, CEO of yieldHUB, talks about why data integrity is so critical for final test, what can cause it to be less-than-perfect, what’s needed to improve the quality of that data, and how that impacts the overall yield in a fab. » read more

Sensors, Data And Machine Learning


Strategies for building reliability into chips and systems are beginning to shift as more sensors are added into these devices and machine learning is applied to that data. In the past, system monitoring relied heavily on MEMS devices for things like acceleration, temperature and positioning (gyroscopes). While those devices are still important, in the past couple years there has been an exp... » read more

New Uses For Manufacturing Data


The semiconductor industry is becoming more reliant on data analytics to ensure that a chip will work as expected over its projected lifetime, but that data is frequently inconsistent or incomplete, and some of the most useful data is being hoarded by companies for competitive reasons. The volume of data is rising at each new process node, where there are simply more things to keep track of,... » read more

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