Automotive

A Perfect Blend Of Quality In Functional Safety To Accelerate An Automotive IP Product Release

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Virtualization: A Must-Have For Embedded AI In Automotive SoCs

Virtualization, the process of abstracting physical hardware by creating multiple virtual machines (VMs) with independent operating systems and tasks, has been in computing since the 1960s. Now, with the need to optimize the utilization of large AI and DSP blocks in automotive SoCs, along with the need for increased functional safety in autonomous driving, virtualization is coming to power- and area-sensitive

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Automotive

How Safe Is Safe Enough?

That was the overarching question a group of 180 experts discussed last week at the ISO 26262 & SOTIF conference for four days during #FuSaWeek2023 in Berlin. “How Safe is Safe Enough” is also the title of Prof. Koopman’s book from September 2022. I mentioned him in my blog “Are We Too Hard On Artificial Intelligence For Autonomous Driving?” Prof.

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The Hidden Security Risks Of Automotive Electronic Systems

The Internet of things (IoT) is driving new capabilities that are transforming how we live, work and play. However, as our lives become more connected, the risk from hackers and other security breaches increases with every new IoT device. While most of us are pretty well versed in why we need to keep our most trusted devices secure – such

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Semiconductor

Growing Challenges For Increasingly Connected Vehicles

Automobiles will become increasingly connected over the next decade, but that connectivity will come at a price in terms of dollars, security, and constantly changing technology. Connectivity involves all parts of a vehicle. It includes everything from autonomous driving to in-cabin monitoring and connected infotainment. And it encompasses external sensors, IoT, V2X, over-the-air communication, remote control, and more. The problem

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Automotive

Automotive MCUs: Digital Twin of the LBIST Functionality

A new technical paper titled “A Novel LBIST Signature Computation Method for Automotive Microcontrollers using a Digital Twin” was written by researchers at Infineon Technologies, University of Bremen, and DFKI GmbH. Abstract“LBIST has been proven to be an effective measure for reaching functional safety goals for automotive microcontrollers. Due to a large variety of recent innovative features, every customer can

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