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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

Improving Verification Predictability And Efficiency Using Big Data


By providing a Big Data infrastructure, with state of the art technologies, within the verification environment, the combination of all verification metrics allows all resources to be used as efficiently as possible and enables process improvements using predictive analysis. This paper covers the technology, the metrics, and the process, and it will explore a number of techniques enabled by suc... » read more

How Far Can AI Go?


AI is everywhere. There are AI/ML chips, and AI is being used to design and manufacture chips. On the AI/ML chip side, large systems companies and startups are striving for orders of magnitude improvements in performance. To achieve that, design teams are adding in everything from CPUs, GPUs, TPUs, DSPs, as well as small FPGAs and eFPGAs. They also are using small memories that can be read i... » read more

Smart Manufacturing


Tom Salmon, vice president of collaborative technology platforms at SEMI, talks about smart manufacturing, and the role of AI, smart gateways, and digital twins. https://youtu.be/e9DQ_Xfc2K0     See other tech talk videos here.   » read more

Farming Goes High-Tech


Data from dirt — literally — is enabling farmers to perform detailed analysis to make their farming practices smarter, more efficient, and significantly more productive. Companies in every market are leveraging data to their business advantage, and the agricultural sector is no different. Even the venture capital community has taken note. According to ABI Research, some sizeable venture ... » read more

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