Shifting Auto Architectures


Domain controllers and gateways are being replaced by central processing modules and zonal gateways to handle all of the data traffic in a vehicle. Ron DiGiuseppe, automotive IP segment manager at Synopsys, talks with Semiconductor Engineering about how automotive applications are changing, what that means for engineering teams, and how they will shift as AI is increasingly deployed. » read more

Security Concerns Rise For Connected Autos


The auto industry is transforming itself toward a future in which the automobile increasingly will be connected using V2X and 5G. Driver assistance will improve, and ultimately cars will be guided by AI and machine learning. But all of this will be closely watched by hackers, looking for an opening and a potentially large and untraceable payout. The replacement of mechanical functionality wi... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive & transportation Chip shortages continue to affect automotive production lines and the bottom line of automotive OEMs. Jaguar Land Rover and Daimler this week said they will reduce production because chip supply issues. Other car companies have or are planning to temporarily shut down production lines. Renault, GM, Ford, Fiat Chrysler (now Stellantis), Volkswagen, Nissan, and Ho... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — IoT, edge, cloud, data center, and back PC maker Dell Technologies is spinning off 81% equity ownership of VMWare to two standalone public companies. VMWare, founded in 1998, provides software to manage networking, apps, and cloud/data center. VMWare will pay a special dividend to its investing, which will generate $9.3 – $9.7 billion for Dell to use toward cutting it... » read more

Guiding Principles To Ensure Your Hardware Is Secure


The modern society relies on complex, intelligent electronic systems. Automotive, avionics, medical, smartphones, communication and 5G networks, critical infrastructure, data centers, and other applications are ever more dependent on integrated circuits (ICs) that deliver high performance, low power consumption, safety, cybersecurity, and continuity of operation. Hardware is so central to compe... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — IoT, edge, cloud, data center, and back LG Electronics says it is closing its mobile business unit to focus on growth areas such as electric vehicle components, connected devices, smart homes, robotics, artificial intelligence and business-to-business solutions, as well as platforms and services. The company will continue to update some premium phones after it leaves th... » read more

Startup Funding: March 2021


Self-driving vehicles revved up investors in March, with two companies receiving over $200M apiece as they prepare for their systems to enter mass production. One focuses on software for passenger vehicles, while the other is looking to autonomous trucks. Both of the companies received investment from automakers, with China's largest carmaker SAIC joining each of the funding rounds. It was also... » read more

Finding And Fixing Design And Testbench Coding Errors On The Fly


Two things are certain in chip verification: as many bugs as possible must be found and fixed before fabrication, and this must happen as early as possible in the development process. The much-desired “shift left” in verification requires that advanced analysis and debug technologies be available to engineers from the earliest stages of the project. It is preferable that many classes of err... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — IoT, edge, cloud, data center, and back Arm announced its Armv9 architecture, which is designed for secure, pervasive computing that can run in more types of AI systems. Because most data will be touching an Arm-based chip in the near future — whether on the edge, IoT, or data center — Arm enhanced the security, in addition to improving performance and AI/ML capabil... » read more

Maximizing Edge AI Performance


Inference of convolutional neural network models is algorithmically straightforward, but to get the fastest performance for your application there are a few pitfalls to keep in mind when deploying. A number of factors make efficient inference difficult, which we will first step through before diving into specific solutions to address and resolve each. By the end of this article, you will be arm... » read more

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