1、DESIGNING FOR THE AI-DEFINED VEHICLE1EXECUTIVE SUMMARY:THE JOURNEY FROM SOFTWARE-DEFINED TO AI-DEFINED VEHICLESThe potential for software to revolutionize vehicle experiences and create new revenue is well understood by the automotive industry,and many in the supply chain are already developing the

2、necessary Electrical/Electronic(E/E)architectures and supporting infrastructure to deploy high performance and ruggedized compute in passenger cars.Artificial Intelligence(AI)is powering use cases in key application areas such as autonomous driving and digital cockpits,so the industry is clearly shi

3、fting to an AI-defined vehicle model.As a result,automakers must embrace the right tools and form the right partnerships to build AI-capable hardware platforms that are robust and future-proof,and capable of meeting fast evolving consumer expectations without compromising on the high standard of aut

4、omotive safety.Digital twin/virtual world environments will enable the automotive industry to more rapidly identify the right hardware specifications to deliver performance and longevity,while the growing adoption of open source will empower Original Equipment Manufacturers(OEMs)to focus their devel

5、opment resources on consumer-facing applications for differentiation.CONTENTSEXECUTIVE SUMMARY:THE JOURNEY FROM SOFTWARE-DEFINED TO AI-DEFINED VEHICLES.1ADVANCING AI IN AUTOMOTIVE.2A Pervasive Trend.2AI For Automated and Autonomous Driving.2AI for In-Cabin Experiences.3Benefits of Edge AI in Automot

6、ive.4DESIGNING FOR THE AI-DEFINED VEHICLE.5Accelerating Automotive Development.5Achieving Faster Time To Market Without Compromising Safety.7Envisioning A New Design Environment for AI-Defined Vehicles.7Case Study:AMD and Siemens Pave360.8ADDRESSING THE LONG AUTOMOTIVE LIFECYCLE.9OTA Updates.9New Bu