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This article focuses on ChipAgents, an AI-driven platform that significantly accelerates the design and verification of RISC-V processors from Andes Technology. By leveraging machine learning to automate complex chip engineering tasks, the tool reduces development cycles from three months to just three weeks, directly addressing efficiency bottlenecks in hardware manufacturing. This represents a tangible application of AI in optimizing semiconductor infrastructure rather than focusing on consumer-facing models or general software updates.