Week in Review: Iot, Security, Automotive


IoT STMicroelectronics is now supporting LoRaWAN firmware updates over the air (FUOTA) in the STM32Cube ecosystem. Microsoft is adding ANSYS Twin Builder to its Microsoft Azure Digital Twins software, which companies use to create digital twins of machinery and IoT devices that are deployed in remotely. The digital replica of actual devices helps companies predict when maintenance is needed... » read more

Planning For Failures In Automotive


The automotive industry is undergoing some fundamental shifts as it backs away from the traditional siloed approach to one of graceful failure, slowing the evolution to fully autonomy and rethinking how to achieve its goals for a reasonable cost. For traditional automakers, this means borrowing some proven strategies from the electronics world rather than trying to evolve traditional automot... » read more

How Secure Is Your Face?


Biometric security, which spans everything from iris scans to fingerprint sensors, is undergoing the same kind of race against hackers as every other type of sensor. While most of these systems work well enough to identify a person, there are a number of well-known ways to defeat them. One is simply to apply newer technology to cracking algorithms used inside these devices. Improvements in p... » read more

Revving Up For Edge Computing


The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

Week In Review: Manufacturing, Test


Fab tools It’s been a tough period for memory. But is there now a sign of a rebound? For the September 2019 quarter, Lam Research reported revenue of $2.166 billion, and net income was $466 million, or $3.09 per diluted share on a U.S. GAAP basis. The outlook at Lam (LRCX) is a bright spot. “LRCX posted strong results and guidance, noting strength from logic and foundry in the December ... » read more

Week in Review: IoT, Security, Autos


Products/Services Rambus reports completing the sale of its Payments and Ticketing businesses to Visa for $75 million in cash. “With 30 years of experience pushing the envelope in semiconductor design, we look toward a future of continued innovation to carry on our mission of making data faster and safer,” Rambus President and CEO Luc Seraphin said in a statement. “Completing this transa... » read more

Week in Review: IoT, Security, Autos


Products/Services The Networking for Autonomous Vehicles Alliance announces that Marvell Semiconductor is joining the NAV Alliance following its acquisition of Aquantia. Fourteen companies are in the industry organization, including Bosch, Continental, Nvidia, and Volkswagen. “The NAV Alliance is developing the platforms that will create the future of transportation and we believe that Multi... » read more

Week in Review – IoT, Security, Autos


Products/Services Arm TechCon got under way with a series of announcements. Arm is a founding member of the Autonomous Vehicle Computing Consortium, along with General Motors, Toyota Motor, DENSO, Continental, Bosch, NXP Semiconductors, and Nvidia. More information on the consortium is available here. “Imagine a world where vehicles are able to perceive their dynamically changing environment... » read more

Solving The Memory Bottleneck


Chipmakers are scrambling to solve the bottleneck between processor and memory, and they are turning out new designs based on different architectures at a rate no one would have anticipated even several months ago. At issue is how to boost performance in systems, particularly those at the edge, where huge amounts of data need to be processed locally or regionally. The traditional approach ha... » read more

Advantages Of BFloat16 For AI Inference


Essentially all AI training is done with 32-bit floating point. But doing AI inference with 32-bit floating point is expensive, power-hungry and slow. And quantizing models for 8-bit-integer, which is very fast and lowest power, is a major investment of money, scarce resources and time. Now BFloat16 (BF16) offers an attractive balance for many users. BFloat16 offers essentially t... » read more

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