How Reliable Are FinFETs?


Stringent safety requirements in the automotive and industrial sectors are forcing chipmakers to re-examine a number of factors that can impact reliability over the lifespan of a device. Many of these concerns are not new. Electrical overstress (EOS), electrostatic discharge (ESD) and [getkc id="160" kc_name="electromigration"] (EM) are well understood, and have been addressed by EDA tools f... » read more

Computer Vision Powers Startups, Bleeding Edge Processes


You can’t turn around these days without walking into a convolutional neural network…..oh wait, maybe not yet, but sometime in the not-too-distant future, we’ll be riding in vehicles controlled by them. While not a new concept, CNNs are finally making the big time, as evidenced by a significant upswell in startup activity, tracked by Chris Rowen, CEO of Cognite Ventures. According to h... » read more

Using CNNs To Speed Up Systems


Convolutional neural networks (CNNs) are becoming one of the key differentiators in system performance, reversing a decades-old trend that equated speed with processor clock frequencies, the number of transistors, and the instruction set architecture. Even with today's smartphones and PCs, it's difficult for users to differentiate between processors with 6, 8 or 16 cores. But as the amount o... » read more

Advanced Packaging Moves To Cars


By Ann Steffora Mutschler and Ed Sperling As automotive OEMs come up to speed on electrification of vehicles, each at their own pace, they are starting to embrace novel packaging approaches as a way to differentiate themselves in an increasingly competitive market. Wirebond used to dominate this market, where most of the chips were relatively unsophisticated and product cycles were slow�... » read more

Reducing Latency In ADAS SoC Design Enhances QoS For Digital Mirroring


The state-of-the-art of Advanced Driver Assistance Systems (ADAS) is quickly changing, and ADAS chip engineers are finding that on-chip quality-of-service (QoS) is becoming a system-level constraint on ADAS performance. Designers need innovative approaches to address these issues, which is why Dream Chip Technologies highlighted one such method in a recent presentation. Dream Chip Technologi... » read more

Foundries Accelerate Auto Efforts


Foundries are ramping up their efforts in automotive chip production in preparation for a surge in semiconductors used in assisted and autonomous driving. All of the major foundry vendors are scrambling to assemble the pieces and expand their process portfolios for automotive customers. The foundries are seeing a growing demand from automotive IC customers amid the push toward advanced drive... » read more

Tech Talk: ADAS


Arvind Vel, director of applications engineering at ANSYS, talks about the transition to self-driving cars and what will be required in future system designs. https://youtu.be/K2xBZZ-vxYQ » read more

The LiDAR Gold Rush


Big money is pouring into the LiDAR market, as carmakers gear up for autonomous and assisted driving. LiDAR, along with advanced computer vision and radar sensors, is an essential component for vehicles to maneuver without hitting obstacles or other cars. LiDAR is an acronym for light imaging, detection, and ranging, and until now it has been almost synonymous with next-generation automotive... » read more

Tech Talk: ISO 26262


Arteris' Kurt Shuler discusses what's changing in the automotive standard and how everything is supposed to work in the future. » read more

The Evolution Of Deep Learning For ADAS Applications


Embedded vision solutions will be a key enabler for making automobiles fully autonomous. Giving an automobile a set of eyes – in the form of multiple cameras and image sensors – is a first step, but it also will be critical for the automobile to interpret content from those images and react accordingly. To accomplish this, embedded vision processors must be hardware optimized for performanc... » read more

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