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

Executive Insight: Wally Rhines (March 2018)


Wally Rhines, president and CEO of [getentity id="22017" e_name="Mentor, a Siemens Business"], sat down with Semiconductor Engineering to discuss a wide range of industry and technology changes and how that will play out over the next few years. What follows are excerpts of that conversation. SE: What will happen in the end markets? Rhines: The end markets are perhaps more exciting from a... » 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

Who Will Regulate Technology?


Outside regulation and technological innovation don't mix well, particularly when it comes to modern electronics, but the potential for that kind of oversight is rising. In the past, most of the problems involving regulation stemmed from a lack of understanding about technology and science. This is hardly a new phenomenon. It literally dates back centuries. Galileo was forced to recant helio... » read more

How SoC Interconnect Enables Flexible Architecture For ADAS And Autonomous Car Designs


When the mobile phone era saw its fastest growth, the design teams that were the most innovative were able to introduce game-changing features before anyone else. Those companies also had the most configurable interconnect IP, allowing them to adapt to quickly changing market needs faster than their competition. Now, nearly a decade later, when autonomous driving is quickly moving into the m... » 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

Functional Safety Methodologies For Automotive Applications


Safety-critical automotive applications have stringent demands for functional safety and reliability. Traditionally, functional safety requirements have been managed by car manufacturers and system providers. However, with the increasing complexity of electronics involved, the responsibility of addressing functional safety is now propagating through the supply chain to semiconductor companies a... » read more

Chip Aging Accelerates


Reliability is becoming an increasingly important proof point for new chips as they are rolled out in new markets such as automotive, cloud computing and industrial IoT, but actually proving that a chip will function as expected over time is becoming much more difficult. In the past, reliability generally was considered a foundry issue. Chips developed for computers and phones were designed ... » read more

GDDR6 PHYs: From The Data Center To Self-Driving Cars


The demand for ever-increasing bandwidth has resulted in a growing interest in GDDR across a number of market verticals, including data centers and the automotive sector. As an example of the former, deep learning applications require ever-increasing speed and bandwidth memory solutions in the data center. In deep learning and other emerging technologies, GDDR memory can help companies addre... » read more

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