概念研究所-什么是AI端侧？

Group 1 - The core concept of edge AI is to deploy artificial intelligence algorithms and models on local devices, enabling local data processing, analysis, and decision-making, which enhances speed, privacy, and efficiency [1] - Edge AI significantly reduces latency from hundreds of milliseconds to around ten milliseconds, meeting the real-time feedback requirements for interactive applications [2] - The stability and reliability of edge AI are improved as it operates independently of network conditions, maintaining functionality in low or no connectivity environments [2] Group 2 - Major companies are actively launching products related to edge AI, with notable releases including Quark AI glasses by Alibaba and a collaboration between ByteDance and ZTE for a new smartphone [3] - Predictions indicate that the global penetration rate of AI smartphones could reach 43% by 2027, a 32% increase from 2024, while China's rate may reach 52%, a 39% increase [3] - The focus on edge AI is seen as a key direction for scalable expansion and application, addressing issues of energy consumption, cost, reliability, and data security associated with cloud-based AI [3] Group 3 - Investors interested in edge AI opportunities can consider specific ETF products, such as the E Fund CSI Consumer Electronics Theme ETF, which tracks companies involved in consumer electronics [4] - Another option is the Artificial Intelligence ETF, which covers leading companies in the AI industry chain, with a significant focus on computer, electronics, and communication sectors [4]