New Uses For AI


AI is being embedded into an increasing number of technologies that are commonly found inside most chips, and initial results show dramatic improvements in both power and performance. Unlike high-profile AI implementations, such as self-driving cars or natural language processing, much of this work flies well under the radar for most people. It generally takes the path of least disruption, b... » read more

Privacy Protection A Must For Driver Monitoring


Driver monitoring systems are so tied into a vehicle's architecture that soon the driver will not be able to opt out because the vehicle will only operate if the driver is detected and monitored. This is raising privacy concerns about whether enough security is in place for the data to remain private. At the very least, laws and regulations in every geography where the vehicle will operate a... » 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

Using 5nm Chips And Advanced Packages In Cars


Semiconductor Engineering sat down to discuss the impact of advanced node chips and advanced packaging on automotive reliability with Jay Rathert, senior director of strategic collaborations at KLA; Dennis Ciplickas, vice president of advanced solutions at PDF Solutions; Uzi Baruch, vice president and general manager of the automotive business unit at OptimalPlus; Gal Carmel, general manager of... » read more

Making Sense Of New Edge-Inference Architectures


New edge-inference machine-learning architectures have been arriving at an astounding rate over the last year. Making sense of them all is a challenge. To begin with, not all ML architectures are alike. One of the complicating factors in understanding the different machine-learning architectures is the nomenclature used to describe them. You’ll see terms like “sea-of-MACs,” “systolic... » read more

Auto OEMs Face New Competitive Threats


Automotive design and manufacturing are undergoing a fundamental shift to the left as cars increasingly are electrified and chips take over more functions formerly done by mechanical parts, setting the stage for massive disruption across a supply chain that has been in place for decades. The success of Tesla — a company that had never actually built a chip or a car — was both a surprise ... » read more

Security Provisioning Moves Out Of The Factory


Security credentials traditionally have been provisioned during chip manufacturing, often as a final part of the testing process. That's starting to change. Logistics management can be improved by pushing that process out — even as far as the on-boarding process. And simpler on-boarding can hide most of the details from the user. “The IT approach to provisioning IoT devices has primar... » read more

DRAM’s Persistent Threat To Chip Security


A well-known DRAM vulnerability called "rowhammer," which allows an assailant to disrupt or take control of a system, continues to haunt the chip industry. Solutions have been tried, and new ones are being proposed, but the potential for a major attack persists. First discovered some five years ago, most of the efforts to eliminate the "rowhammer" threat have done little more than mitigate t... » 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

Bridging The Gap Between Smart Cities And Autonomous Vehicles


Smart city planners and carmakers are wrestling with similar problems and goals, but they are working at very different paces and often with different technologies — despite the fact that these two worlds will need to be bridged in order to be useful. Moving traffic optimally in urban areas is critical for reducing energy consumption and accidents, and for moving emergency vehicles through... » read more

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