SemiWiki: Architecture Wrinkles in Automotive AI: Unique Needs

by Madelyn Miller, On May 21, 2021

Bernard Murphy (SemiWiki) learns from Stefano Lorenzini, Functional Safety Manager at Arteris IP, the difference between AI in automotive and other contexts. 

Architecture Wrinkles in Automotive AI: Unique Needs

May 20th, 2021 – Bernard Murphy

Arteris IP recently spoke at the Spring Linley Processor Conference on April 21, 2021 about Automotive systems-on-chips (SoCs) architecture with artificial intelligence (AI)/machine learning (ML) and Functional Safety. Stefano Lorenzini, Functional Safety Manager at Arteris IP, presented a nice contrast between auto AI SoCs and those designed for datacenters. Never mind the cost or power, in a car we need to provide near real-time performance for sensing, recognition and actuation. For IoT applications we assume AI on a serious budget, power-sipping, running for 10 years on a coin cell battery. But that isn’t the whole story. AI in the car is a sort of hybrid, with the added dimension of safety, which makes for unique architecture wrinkles in automotive AI.

To read the entire article, please click here: https://semiwiki.com/artificial-intelligence/298933-architecture-wrinkles-in-automotive-ai-unique-needs/

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