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

Making Lidar More Useful


Lidar, one of a trio of “vision” technologies slated for cars of the future, is improving both in terms of form and function. Willard Tu, director of automotive at Xilinx, talks with Semiconductor Engineering about different approaches and tradeoffs between cost, compute intensity and resolution, various range and field of view options, and why convolutional neural networks are so important... » read more

Big Changes Ahead For Connected Vehicles


Carmakers are reworking their electronic architectures so they can tap into a growing number of external services and internal options, similar to the way a data center taps into various services over its internal network. In the past, this has been largely confined to internal services such as on-board Internet connectivity, and external traffic routing and music. The current vision is to g... » read more

Securing ADAS At The Chip Level


The advent of ADAS, Advanced Driver Assistance Systems, is making a dramatic impact on new vehicles. It provides many helpful functions such as automotive night vision, forward collision warnings, collision avoidance, and lane departure warnings. In order to operate, ADAS requires the computerization of most of the functions of the vehicle. This results in from 50 to over 100 electronic control... » read more

Security Solutions for AI/ML


AI/ML is increasingly pervasive across all industries driven by a massive wave of digitization. Data, the raw material of AI/ML and Deep Learning algorithms, is available in enormous quantities from all aspects of business operations. AI/ML promises great gains in responsiveness and adaptability in an ever-changing technology landscape, and industries are enthusiastically responding to that app... » read more

When It Makes Sense To Perform An Open Source Audit


Today's software is not created so much as assembled. The parts that serve as ingredients come from a variety of sources, but mostly from the millions of open source components freely available on the internet. This has enabled a digital transformation in several industries, helping market leaders speed their time to market, lower costs, and improve innovation. But what are the licensing and... » read more

Power/Performance Bits: June 1


Stronger PUFs Researchers from Ohio State University and Potomac Research propose a new version of physical unclonable functions, or PUFs, that could be used to create secure ID cards, to track goods in supply chains, and as part of authentication applications. "There's a wealth of information in even the smallest differences found on computers chips that we can exploit to create PUFs," sai... » read more

One-On-One: Lip-Bu Tan


Lip-Bu Tan, CEO of Cadence, sat down with Semiconductor Engineering to talk about the impact of massive increases in data across a variety of industries, the growing need for computational software, and the potential implications of U.S.-China relations. What follows are excerpts of that discussion. SE: What do you see as the biggest change for the chip industry? Tan: We're in our fifth g... » read more

Achieving Automotive Safety With Security


Security researchers have demonstrated extensively how cybersecurity attacks can have disastrous consequences in automobiles. A successful car hack in an automotive control system such as the drive train or brakes could affect an entire fleet of vehicles and put many lives in danger. Moreover, car owners' privacy and the protection of intellectual properties (IPs) and other assets of car manufa... » read more

Securing AI/ML With A Hardware Root Of Trust


AI/ML (Artificial Intelligence/Machine Learning) is now pervasive across all industries. It contributes to rationalizing and harnessing the enormous amount of information made available by the current massive wave of digitization. Digitization is transforming how business is run and how value is produced using digital technologies. Data, the raw material of AI/ML and deep learning algorithms, i... » read more

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