Ed Sperling is the Editor in Chief at Semiconductor Engineering. He specializes in covering topics related to technology, software, and deep tech, focusing on the latest advancements and trends in the semiconductor industry. Ed's insights and expertise have made him a prominent voice in the field, and he has been featured in various industry publications.
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Ed Sperling's coverage is heavily focused on providing expert commentary and industry-specific insights into the engineering and design aspects of electronics, integrated circuits, chip design, data centers, and the semiconductor industry. He appears to be interested in addressing challenges and advancements within these domains.
Given his focus on expert commentary, Ed might be open to pitches from professionals who have deep technical knowledge or experience in areas such as 3D heterogeneous integration, DRAM technology complexities, power integrity challenges in next-gen designs, SerDes technologies for data centers, ESD mitigation strategies and reliability testing using deep data analysis.
As Ed does not specify a geographic focus but covers topics that are globally relevant within the semiconductor industry and related fields of engineering and design.
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General-purpose processing demands will multiply once machines are talking to machines.
Chemistry is becoming the determining factor across many markets as focus shifts to power.
Achieving a deterministic “yes or no” answer in semiconductor verification is becoming more challenging as chip complexity increases.
Benefits and questions surrounding a next-gen low-power standard for high-performance compute.
AI agents can be used to identify potential issues during operation and react before it's too late.
What goes into ensuring automotive chip reliability, and why it's about to get even tougher.
By: Ed Sperling
Semiconductor Engineering sat down to discuss memory interfaces, interconnects, and memory access scaling with Madhumita Sanyal, senior director of
AI is all about data. There is more data to process, store, and move, and more tradeoffs required to do that efficiently and with enough flexibility to handle changes in future workloads.
The demand for performance in an AI data center is causing a huge spike in the amount of power being consumed.
3D integrated circuits (3D ICs) are reshaping semiconductor development. While these architectures deliver significant performance, power and
