Processors used in automotive applications like self-driving cars need to be safe and reliable, which makes them a bit different than the conventional microcontroller.
Cars represent one aspect of technology that’s also a fundamental part of society. As such, it’s a focus for all developing trends, from the IoT and edge computing to AI.
By identifying potential issues early, Arteris’ technology aims to reduce chip-level vulnerabilities that can be too difficult to fix after the device is fabricated.
As software becomes a bigger battleground under the hood, Arm said its Zena compute subsystem could shave as much as a year off automotive AI chip development.
The combination of X925, A725, and A520 cores, Arm’s most powerful mobile CPU cluster for AI to date, brings 46% better performance than CPU clusters based on the Cortex-X4 released...
Designing an accelerator chip for machine-learning applications is no easy task. This article explains how PCIe technology can help vendors developing such chips improve their...
Arm plans to play a central role in the market for 5G network infrastructure, with Arm-based chips inside the majority of base stations. Arm is also dominant in smartphones that...
