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

IIoT Analytics


Founded in 1995, Marvell Technology Group Ltd. has operations worldwide and more than 7,000 employees. A leading fabless semiconductor company, Marvell ships over one billion chips a year. Marvell’s expertise in microprocessor architecture and digital signal processing, drives multiple platforms including high volume storage solutions, mobile and wireless, networking, consumer and green pr... » read more

Is Product Quality Getting Lost In The IIoT?


Manufacturing operations have continuously evolved using data capture and management to assess and test production effectiveness on the manufacturing floor. The advent of the Industrial Internet of Things (IIoT) and its anticipated ability to track and manage the factory environment with machine-to-machine process analytics heralds yet another transformation, promising a higher level of data in... » read more

Grappling With Manufacturing Data


As complexity goes up with each new process node, so does the amount of data that is generated, from initial GDSII to photomasks, manufacturing, yield and post-silicon validation. But what happens to that data, and what gets shared, remain a point of contention among companies across the semiconductor ecosystem. The problem is that to speed up the entire design through manufacturing process,... » read more

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