SemiWiki: Architecture Wrinkles in Automotive AI: Unique Needs
, 2021年05月21日
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/