Making Random Variation Less Random


The economics for random variation are changing, particularly at advanced nodes and in complex packaging schemes. Random variation always will exist in semiconductor manufacturing processes, but much of what is called random has a traceable root cause. The reason it is classified as random is that it is expensive to track down all of the various quirks in a complex manufacturing process or i... » read more

Who’s Watching The Supply Chain?


Every company developing chips at the most advanced process nodes these days is using different architectures and heterogeneous processing and memory elements. There simply is no other way to get the kind of power/performance improvements needed to justify the expense of moving to a new process node. So while they will reap the benefits of traditional scaling, that alone is no longer enough. ... » read more

Big Data Trends Shaping Industry 4.0


In today’s highly competitive economy, automotive OEMs are under pressure to shorten production cycles and fully leverage production capacities, with no compromising of quality and safety. This ebook covers the three big data mega trends for the automotive value chain: ML and AI to streamline processes Actionable Insights Optimized product reliability Don’t lag be... » read more

Recent Earthquakes Highlight Risk To Semiconductor Manufacturing Sites


On July 4, 2019, southern California experienced a 6.4 magnitude earthquake followed by a 7.1 earthquake the next day. Both earthquakes occurred near the town of Ridgecrest, but they were not related to the San Andreas fault, an 800-mile fault zone in California where two tectonic plates meet. The San Andreas fault is generally considered to be where “the big one” could occur in California,... » read more

SEMI Calls For U.S.-China Tariff Removals


In testimony today before a U.S. government interagency panel considering tariffs on $300 billion worth of Chinese goods, SEMI called for the removal of about 30 tariff lines, which cover items central to the semiconductor manufacturing process. Mike Russo, vice president of global industry advocacy at SEMI, explained in his testimony that while SEMI strongly supports efforts to better... » read more

Thinking Differently About IIoT Analytics


Manufacturers are rushing to keep up with the latest technology trends and perhaps the most significant ones are around the smart factory. Whether you call it Industry 4.0, Smart Manufacturing or the Industrial Internet of Things (IIoT), what all these initiatives have in common is the desire to maximize value from manufacturing data and improve overall manufacturing efficiency. With the ave... » read more

Using ML For Post-Silicon Validation


Ira Leventhal, vice president of Advantest’s new concept product initiative, talks about how to use machine learning to ferret out hidden relationships in a complex design and to utilize that data to improve chips. » read more

Gaps Emerge In Automotive Test


Demands by automakers for zero defects over 18 years are colliding with real-world limitations of testing complex circuitry and interactions, and they are exposing a fundamental disconnect between mechanical and electronic expectations that could be very expensive to fix. This is especially apparent at leading-edge nodes, where much of the logic is being developed for AI systems and image se... » read more

IC Design: Preparing For The Next Node


The challenges of preparing for the next process node require constant preparation by the foundries, the EDA industry, and the design companies. Learn how Mentor works to prepare the Calibre nmPlatform for each “next node,” and ensure that its customers have the tools and performance they need to succeed. To read more, click here. » read more

The Precision Knob


Precision used to be a goal, but increasingly it is being used as a tool. This is true for processing and algorithms, where less precision can greatly improve both performance and battery life. And it is true in manufacturing, where more precision can help minimize the growing impact of variation. Moreover, being able to dial precision up or down can help engineers see the impact on a system... » read more

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