Low-Power Deep Learning Implementation For Automotive ICs


Examples of automotive applications abound where high-performance, low-power embedded vision processors are used, from in-car driver drowsiness detection, to a self-driving car ‘seeing’ the road ahead with pedestrians, oncoming cars, or the occasional animal crossing the road. Implementing deep learning in these types of applications requires a lot of processing power with the lowest possib... » read more

Anatomy Of An Autonomous Vehicle Crash


The rollout of autonomous vehicles will have far-reaching impacts on technology, business and social interactions, but it also will set in motion a whole new side of technology development and new legal frameworks to prove what went wrong when these vehicles are involved in an accident. This isn't just something to plan for down the road. The California Department of Motor Vehicles this week... » read more

Data Converters IP For Automotive SoCs


Automotive applications place demanding requirements on IP designers and SoC integrators to meet all mandated reliability and functional safety requirements. A good understanding of such requirements and how to efficiently implement them in the SoC enables integrators to break down the challenges into manageable pieces while leveraging the characteristics (and qualification) of the integrated I... » read more

Blog Review: Feb. 28


Mentor's Matthew Ballance explains just what the portable stimulus standard makes portable. Cadence's Dave Pursley considers why high-level synthesis is a good fit for cutting-edge machine learning designs. Synopsys' Melissa Kirschner notes that the growing number of IoT devices means new opportunities for one-time programmable NVM. Applied's Mike Rosa considers the pros and cons of 5G... » read more

The Week In Review: Design


Tools & IP Pro Design launched three new proFPGA Zynq UltraScale+ FPGA modules for SoC and IP prototyping. The modules combine FPGA logic with quad-core ARM Cortex-A53 and dual-core ARM Cortex-R5 processors and on-board interfaces. The modules offer a total of up to 5 extension sites with 531 standard I/Os and 16 multi-gigabit transceivers (MGTs). The board allows a maximum point-to-point ... » read more

Regain Your Power With Machine Learning


It wasn’t too long ago that machine learning (ML) seemed like a fascinating research topic. However, in no time at all, it has made a swift transition from a world far-off to common presence in news, billboards, workplaces, and homes. The concept itself is not new but evidently what has caused it to take off is the rapid growth of data in many applications and more computational power. Closer... » read more

Using Data Mining Differently


The semiconductor industry generates a tremendous quantity of data, but until very recently engineers had to sort through it on their own to spot patterns, trends and aberrations. That's beginning to change as chipmakers develop their own solutions or partner with others to effectively mine this data. Adding some structure and automation around all of this data is long overdue. Data mining h... » read more

Tech Talk: 5/3nm Parasitics


Ralph Iverson, principal R&D engineer at Synopsys, talks about parasitic extraction at 5/3nm and what to expect with new materials and gate structures such as gate-all-around FETs and vertical nanowire FETs. https://youtu.be/24C6byQBkuI » read more

Verification Of Functional Safety (Part 2)


The automotive industry is grappling with a tradeoff between cost and safety. Safety is well understood in industries that are cost-insensitive, such as aerospace and medical, and the consumer industry has a long track record of driving down costs while increasing functionality. But can these two industries be brought together in a safe and effective manner to enable automobiles to achieve the ... » read more

Blog Review: Feb. 21


Mentor's Colin Walls posits that one part of the reason modern code has so many bugs may be the way we talk about them, and it's time for a change in terminology. Following up on a post about the challenges of bringing digital literacy to an area where many are unable to read, Cadence's Madhavi Rao looks at the impact agriculture-focused IoT technologies could have on rural areas in India. ... » read more

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