Author's Latest Posts


Automotive Lidar Technologies Battle It Out


Lidar is likely to be added to the list of sensors that future cars will use to help with navigation and safety, but most likely it won't be the large rotating mirror assembly on the top of vehicles. Newer solid-state radar technologies are being researched and developed, although it’s not yet clear which of these will win. “The benefits of lidar technology are well known dating back to ... » read more

Will PAYGO Shake Up How We Pay for Chips?


System builders are used to buying integrated circuits on a simple transactional basis — the chip has a price, and that’s what you pay. But some application spaces may have a wide variety of capabilities that need hardware support, and each feature may not be used for every instance. Traditionally, one would design different chips for different feature mixes and price points. But a new p... » read more

Massive IoT Interop Fuels Protocol Battle


Wireless standards are plentiful, but most are not capable of being scaled to the level of a smart city. As a result, such networks have been built application-by-application using proprietary stacks, often with non-interoperable network layers. That, in turn, has slowed the proliferation of dense wireless connectivity at scale. “In a hyper-connected world, connectivity choices are driv... » read more

Retimers Replacing Redrivers As Signal Speeds Increase


Retimers are undergoing a renaissance as new PHY protocols prove too demanding for redrivers. Redrivers and retimers both have been used to extend wired signal reach over the years. But redrivers have dominated this space due to their relative simplicity and lower cost. That balance is beginning to change. “A retimer represents three things no one wants in their system — area, cost, a... » read more

5G Chips Add Test Challenges


The advent of chips supporting millimeter-wave (mmWave) 5G signals is creating a new set of design and testing challenges. Effects that could be ignored at lower frequencies are now important. Performing high-volume test of RF chips will require much more from automated test equipment (ATE) than is required for chips operating below 6 GHz. “MmWave design is a pretty old thing,” said Y... » read more

IoT Security: Confusing And Fragmented


Security regulations for Internet-of-Things (IoT) devices are evolving around the world, but there is no consistent set of requirements that can be applied globally — and there may never be. What exists today is a patchwork of certification labs and logos. That makes it difficult for IoT-device designers to know where to get their security blessed. Unlike in data centers, where there is a ... » read more

There’s More To Machine Learning Than CNNs


Neural networks – and convolutional neural networks (CNNs) in particular – have received an abundance of attention over the last few years, but they're not the only useful machine-learning structures. There are numerous other ways for machines to learn how to solve problems, and there is room for alternative machine-learning structures. “Neural networks can do all this really comple... » read more

Is There a Practical Test For Rowhammer Vulnerability?


Rowhammer is proving to be a difficult DRAM issue to fix. While efforts continue to mitigate or eliminate the effect, no solid solution has yet made it to volume production. In addition, more aggressive process nodes are expected to exacerbate the problem. In the absence of a fix, then, testing may be one way to give DRAM manufacturers and users some way to segregate devices that are more su... » read more

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

11 Ways To Reduce AI Energy Consumption


As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

← Older posts Newer posts →