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The Case For FPGAs In Cars


Field-programmable gate arrays (FPGAs) thrive in rapidly evolving new markets before being replaced by hard-wired ASICs, but in automotive that crossover is likely to happen significantly later than in the past. Historically, FPGAs have held temporary positions until volumes increased enough to cost-reduce the FPGAs out in favor of a hardened version. With automobiles, there are so many chan... » read more

How To Measure ML Model Accuracy


Machine learning (ML) is about making predictions about new data based on old data. The quality of any machine-learning algorithm is ultimately determined by the quality of those predictions. However, there is no one universal way to measure that quality across all ML applications, and that has broad implications for the value and usefulness of machine learning. “Every industry, every d... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive A fire at a Renesas fab may put a further squeeze on the supply of automotive chips, according to an Associated Press story. The fire in Naka Factory (located in Japan in Hitachinaka, Ibaraki Prefecture) was caused by plating equipment igniting within the first floor of the N3 Building and was extinguished the same day it started on March 19th, according to a press release. “The c... » read more

Firmware Skills Shortage


Good hardware without good software is a waste of silicon, but with so many new processors and accelerator architectures being created, and so many new skills required, companies are finding it hard to hire enough engineers with low-level software expertise to satisfy the demand. Writing compilers, mappers and optimization software does not have the same level of pizazz as developing new AI ... » read more

Week In Review: Auto, Security, Pervasive Computing


Aerospace The NASA's Mars Perseverance Rover, which landed safely on Mars this week, has some new autonomous systems. The landing craft flew autonomously to find a good landing spot. When on the ground, the rover can drive in an autonomous traverse mode. Also autonomous is the small helicopter, the Ingenuity Mars Helicopter, being tested on Mars. The helicopter can fly up to 90 seconds autonom... » read more

The Problem With Benchmarks


Benchmarks long have been used to compare products, but what makes a good benchmark and who should be trusted with their creation? The answer to those questions is more difficult than it may appear on the surface, and some benchmarks are being used in surprising ways. Everyone loves a simple, clear benchmark, but that is only possible when the selection criteria are equally simple. Unfortuna... » read more

Longer Chip Lifecycles Increase Security Threat


The longer chips and electronic systems remain in use, the more they will need to be refreshed with software and firmware updates. That creates a whole new level of security risks, ranging from over-the-air intercepts to compromised supply chains. These problems have been escalating as more devices are connected to the Internet and to each other, but it's particularly worrisome when it invol... » read more

Edge-Inference Architectures Proliferate


First part of two parts. The second part will dive into basic architectural characteristics. The last year has seen a vast array of announcements of new machine-learning (ML) architectures for edge inference. Unburdened by the need to support training, but tasked with low latency, the devices exhibit extremely varied approaches to ML inference. “Architecture is changing both in the comp... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive/Mobility Chip makers in Taiwan will “do their best” to “squeeze out more chips” said Taiwan’s Minister of Economic Affairs Wang Mei-hua after having lunch with representatives of TSMC, UMC, Vanguard International Semiconductor Corp, and Powerchip Semiconductor Manufacturing Co., according to the Taipei Times. After the auto industry initially cut automotive chip orders bec... » read more

Von Neumann Is Struggling


In an era dominated by machine learning, the von Neumann architecture is struggling to stay relevant. The world has changed from being control-centric to one that is data-centric, pushing processor architectures to evolve. Venture money is flooding into domain-specific architectures (DSA), but traditional processors also are evolving. For many markets, they continue to provide an effective s... » read more

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