The AI & automotive industry are both undergoing a major transformation. AI is being used to improve safety, efficiency, and comfort in vehicles, and it is also being used to create new personalized experiences for drivers and passengers. Also, Automotive industry has been trying to transform cars into AI enabled Software Defined Vehicles (SDV).
The latest trend in AI is the use of large language models (LLMs) and foundation models as the next generation AI Infrastructure to power advanced features on AI SoC. LLMs are trained on massive datasets of text and code, and they can be used to perform a wide range of tasks with even reasoning capability. One of the advantages of using RISC-V for AI SoC to run LLMs is that it is an open architecture. This means that it is not controlled by a single company, which makes it more secure and reliable with freedom in design.
One of the key challenges in the development of AI-powered vehicles is the need to protect user privacy and data. As vehicles collect more and more data about their surroundings and their occupants, it is important to ensure that this data is secured and not misused.
In this presentation, we will discuss the latest trends in AI & Automotive, with a focus on personalization, privacy and data protection. We will also discuss the advantages of using RISC-V for AI SoC to run LLMs.