Challenges Grow For 5G Packages And Modules


The shift to 5G wireless networks is driving a need for new IC packages and modules in smartphones and other systems, but this move is turning out to be harder than it looks. For one thing, the IC packages and RF modules for 5G phones are more complex and expensive than today's devices, and that gap will grow significantly in the second phase of 5G. In addition, 5G devices will require an as... » read more

Week in Review: IoT, Security, Auto


Products/Services Arteris IP reports that Bitmain licensed the Arteris Ncore Cache Coherent Interconnect intellectual property for use in its next-generation Sophon Tensor Processing Unit system-on-a-chip devices for the scalable hardware acceleration of artificial intelligence and machine learning algorithms. “Our choice of interconnect IP became more important as we continued to increase t... » read more

Week in Review – IoT, Security, Auto


Products/Services Synopsys announced successful deployment of the Synopsys Yield Explorer yield learning platform for fast ramp-up of new products on Samsung's advanced finFET technology nodes. Using the secure data exchange mechanism in Yield Explorer, Samsung is able to share the data required for yield analysis, such as chip design, fab, and test, with its customers while maintaining the co... » read more

Machine Learning Inferencing Moves To Mobile Devices


It may sound retro for a developer with access to hyperscale data centers to discuss apps that can be measured in kilobytes, but the emphasis increasingly is on small, highly capable devices. In fact, Google staff research engineer Pete Warden points to a new app that uses less than 100 kilobytes for RAM and storage, creates an inference model smaller than 20KB, and which is capable of proce... » read more

Week in Review: IoT, Security, Auto


Products/Services Visa agreed to acquire the token and electronic ticketing business of Rambus for $75 million in cash. The business involved is part of the Smart Card Software subsidiary of Rambus. It includes the former Bell ID mobile-payment businesses and the Ecebs smart-ticketing systems for transit providers. Meanwhile, Rambus expanded its CryptoManager Root of Trust product line. “Sec... » read more

5nm Vs. 3nm


Foundry vendors are readying the next wave of advanced processes, but their customers will face a myriad of confusing options—including whether to develop chips at 5nm, wait until 3nm, or opt for something in between. The path to 5nm is well-defined compared with 3nm. After that, the landscape becomes more convoluted because foundries are adding half-node processes to the mix, such as 6nm ... » read more

What’s Next In Advanced Packaging


Packaging houses are readying the next wave of advanced IC packages, hoping to gain a bigger foothold in the race to develop next-generation chip designs. At a recent event, ASE, Leti/STMicroelectronics, TSMC and others described some of their new and advanced IC packaging technologies, which involve various product categories, such as 2.5D, 3D and fan-out. Some new packaging technologies ar... » 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

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

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