从智能手机到智能体，端侧AI的故事才刚刚开始

Core Insights - Qualcomm emphasizes the importance of edge AI, which allows AI models to be deployed on end devices, enabling local intelligent processing without relying on cloud servers [1][2] - The shift towards edge AI is reshaping user experience across various smart devices, moving from traditional smartphone extensions to direct interactions with intelligent agents [2][3] - MediaTek also highlights edge AI capabilities in its flagship chip, significantly reducing the need for cloud resources for tasks like 4K image generation and natural language processing [3] Group 1 - Edge AI offers faster processing speeds and enhanced data security by keeping personal data local, while cloud AI relies on server-based processing [1] - The transition to edge AI is driven by the need for smarter user interfaces that adapt to individual user needs and habits [2] - Future applications of edge AI are expected to extend beyond consumer devices to industrial-grade terminals and sensors across various sectors [3] Group 2 - Qualcomm's CEO mentions the necessity of a new computing architecture to support the evolving demands of edge AI, including redesigning operating systems, software, and chips [3] - The integration of edge and cloud AI is essential for optimal performance, allowing for seamless collaboration between local and cloud-based processing [4]