tag: Apple

Machine Learning Inferencing Moves To Mobile Devices
By Kevin Fogarty - 02 Jul, 2019 - Comments: 0

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
By Jeff Dorsch - 28 Jun, 2019 - Comments: 0

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
By Mark LaPedus - 24 Jun, 2019 - Comments: 16

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
By Mark LaPedus - 20 Jun, 2019 - Comments: 3

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
By Ed Sperling - 13 Jun, 2019 - Comments: 0

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
By Ed Sperling - 11 Jun, 2019 - Comments: 0

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
By Ed Sperling - 11 Jun, 2019 - Comments: 0

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

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 07 Jun, 2019 - Comments: 0

Products/Services Achronix Semiconductor selected the Rambus GDDR6 PHY for its next-generation Speedster7t line of field-programmable gate arrays. The Rambus GDDR6 PHY is used in advanced driver-assistance systems, artificial intelligence, graphics, machine learning, and networking applications. Arm and Marvell Technology Group will work together on design and development of Marvell’s nex... » read more

Accelerating Endpoint Inferencing
By Kevin Fogarty - 06 Jun, 2019 - Comments: 0

Chipmakers are getting ready to debut inference chips for endpoint devices, even though the rest of the machine-learning ecosystem has yet to be established. Whatever infrastructure does exist today is mostly in the cloud, on edge-computing gateways, or in company-specific data centers, which most companies continue to use. For example, Tesla has its own data center. So do most major carmake... » read more

MicroLEDs: The Next Revolution In Displays?
By Mark LaPedus - 29 May, 2019 - Comments: 1

Flat-panel display technology is exploding on several fronts as more screens are required for more devices. But one type of display is generating an enormous amount of buzz in the market—microLEDs. Dozens of companies are working on micro-light emitting diodes (microLEDs), a technology that promises to provide better and brighter displays than current solutions in the market. Apple, Facebo... » read more

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