As AI technologies rapidly penetrate the automotive industry, R&D and testing are entering a new era of transformation. This presentation explores how large language models (LLMs) are evolving from knowledge assistants into intelligent testing engines within automotive bus testing scenarios. It will demonstrate how AI can help engineers overcome efficiency bottlenecks and knowledge barriers in message analysis, signal interpretation, diagnostic testing, and calibration validation. The session will also introduce TOSUN's AI-powered solutions built on TSMaster, including the AI Assistant, SKILL ecosystem, and Intelligent Test Case Orchestrator, showcasing innovative practices that bridge requirements engineering and test automation. Finally, the presentation will discuss the future roadmap of AI-driven testing platforms and how AI is reshaping automotive electronics testing toward a smarter and more efficient future.

• Understand the latest trends of AI and Large Language Models in automotive R&D and testing
• Learn typical application scenarios where AI enhances automotive bus testing workflows
• Explore new AI-driven approaches to test automation, from requirements analysis to automated test generation
• Discover how the SKILL ecosystem enables knowledge reuse and the accumulation of testing expertise as reusable AI capabilities