Author's Latest Posts


Playing Into China’s Hands


The fallout over blacklisting Huawei in particular, and China in general, has set the tone for a nasty global race. But it is almost certain to produce a different result than the proponents of a trade war are expecting. The idea behind tariffs and the blacklisting of Huawei is to starve China of vital technology. So far, the impact has been minimal. Reports from inside of China are equa... » read more

Memory Options And Tradeoffs


Steven Woo, Rambus fellow and distinguished inventor, talks with Semiconductor Engineering about different memory options, why some are better than others for certain tasks, and what the tradeoffs are between the different memory types and architectures.     Related Articles/Videos Memory Tradeoffs Intensify In AI, Automotive Applications Why choosing memories and archi... » read more

HBM2 Vs. GDDR6: Tradeoffs In DRAM


Semiconductor Engineering sat down to talk about new DRAM options and considerations with Frank Ferro, senior director of product management at Rambus; Marc Greenberg, group director for product marketing at Cadence; Graham Allen, senior product marketing manager for DDR PHYs at Synopsys; and Tien Shiah, senior manager for memory marketing at Samsung Electronics. What follows are excerpts of th... » read more

Test Moving Forward And Backward


Test, once considered an important but rather mundane way of separating good chips from the not-so-good and the total rejects, is taking on a whole new life. After decades of largely living in the shadows behind design and advancements in materials and lithography, test has quietly shifted into a much more critical and more public role. But it has taken several rather significant shifts acro... » read more

Data Confusion At The Edge


Disparities in pre-processing of data at the edge, coupled with a total lack of standardization, are raising questions about how that data will be prioritized and managed in AI and machine learning systems. Initially, the idea was that 5G would connect edge data to the cloud, where massive server farms would infer patterns from that data and send it back to the edge devices. But there is far... » 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

5G Design Changes


Mike Fitton, senior director of strategic planning at Achronix, talks with Semiconductor Engineering about the two distinct parts of 5G deployment, how to get a huge amount of data from the core to the edge of a device where it is usable, and how a network on chip can improve the flow of data. » read more

Algorithms And Security


From a security standpoint, the best thing AI has going for it is that it's in a state of perpetual change. That also may be the worst thing. The problem, at least for now, is that no one knows for sure. What’s clear is that security is not a primary concern when it comes to designing and building AI systems. In many cases it’s not even an action item because architectures are constantly... » read more

Speeding Up AI


Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to talk about AI, which processors work best where, and different approaches to accelerate performance. SE: How is AI affecting the FPGA business, given the constant changes in algorithms and the proliferation of AI almost everywhere? Blake: As we talk to more and more customers deploying new products and... » read more

Holes In AI Security


Mike Borza, principal security technologist in Synopsys’ Solutions Group, explains why security is lacking in AI, why AI is especially susceptible to Trojans, and why small changes in training data can have big impacts on many devices. » read more

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