Companies That Embrace Digital Transformation Have More Resilient Design And Supply Chains


Digital transformation has evolved quickly from a conceptual phase to a semiconductor industry change agent. The rapid take up of AI-enhanced product development is only accelerating this transformation and is further influenced by two connected trends: The movement of Moore’s Law from transistor scaling to system-level scaling, and the relatively recent redistribution of the global electroni... » read more

Smart Manufacturing Makes Gains In Chip Industry


Lights out manufacturing is gaining steam across the semiconductor industry, accelerating productivity, improving quality, and reducing costs and environment impact. These benefits are the result of years of strategic investments in technologies like machine-to-machine communication, data analytics, and robotics to achieve higher levels of autonomy. Semiconductor factories have long depen... » read more

Everything, Everywhere, All At Once: Big Data Reimagines Verification Predictability And Efficiency


Big data is a term that has been around for many years. The list of applications for big data are endless, but the process stays the same: capture, process and analyze. With new, enabling verification solutions, big data technologies can improve your verification process efficiency and predict your next chip sign-off. By providing a big data infrastructure, with state-of-the-art technologies... » read more

Looking Inside Of Chips


Shai Cohen, co-founder and CEO of proteanTecs, sat down with Semiconductor Engineering to talk about how to boost reliability and add resiliency into chips and advanced packaging. What follows are excerpts of that conversation. SE: Several years ago, no one was thinking about on-chip monitoring. What's changed? Cohen: Today it is obvious that a solution is needed for optimizing performanc... » read more

The Drive Toward More Predictive Maintenance


Maintenance is a critical behind-the-scenes activity that keeps manufacturing facilities running and data centers humming. But when not performed in a timely manner, it can result in damaged products or equipment, or significant system/equipment downtime. By shifting from scheduled maintenance to predictive maintenance, factories and electronic system owners can reap substantial benefits, in... » read more

The Role Of AI And Endpoint Real-Time Data Analytics


The Internet of Things (IoT) has the capability of amassing large amounts of data which it does with the help of dispersed intelligent sensors. The organization and distribution of this enormous amount of data is posing a challenge. While conventional methods of data analysis have facilitated the operations in IoT, artificial intelligence (AI) has proven that it can do it with greater precision... » read more

Driving Toward Predictive Analytics With Dynamic Parametric Test


The foundation of parametric test within semiconductor manufacturing is its usefulness in determining that wafers have been fabricated properly. Foundries use parametric test results to help verify that wafers can be delivered to a customer. For IDMs, the test determines whether the wafers can be sent on for sorting. Usually inserted into the semiconductor manufacturing flow during wafer fabric... » read more

Silicon Lifecycle Management


How do you track, measure and ensure reliability over the lifetime of a chip, regardless of how or where it is used? Steve Pateras, senior director of marketing for test products at Synopsys, drills down into the impact of hardware-software co-design, over-the-air updates, the expected lifetime of designs, and how the various monitors and sensors are used to track environmental, structural and ... » read more

Ins And Outs Of In-Circuit Monitoring


At 7nm and 5nm, in-circuit monitoring is becoming essential. Steve Crosher, CEO of Moortec, talks about the impact of rising complexity, how different use cases and implementations can affect reliability and uptime, and why measuring electrical, voltage and thermal stress can be used to statistically predict failures and improve reliability throughout a chip’s lifetime. » read more

New Ways To Optimize Machine Learning


As more designers employ machine learning (ML) in their systems, they’re moving from simply getting the application to work to optimizing the power and performance of their implementations. Some techniques are available today. Others will take time to percolate through the design flow and tools before they become readily available to mainstream designers. Any new technology follows a basic... » read more

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