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6G终端有了时间表,AI扮演什么角色?

Core Insights - Qualcomm is the first global tech company to provide a clear timeline for 6G pre-commercial terminal launch, expected in 2028 [1] - The rise of AI is expected to elevate various "edge" devices, including smartphones, PCs, wearables, and robots, into potential blockbuster products [1] - Qualcomm aims to enhance AI capabilities in smart terminals by integrating NPU and GPU technologies during the chip design phase [1] Group 1: AI Integration in Chip Design - Qualcomm showcased its self-developed Oryon architecture at the Snapdragon Summit, emphasizing its superior SoC capabilities for AI processing and energy efficiency [2] - The self-developed Oryon architecture allows Qualcomm to reduce dependency on other companies, particularly in licensing fees and long-term development [2] Group 2: Performance Enhancements - The fifth-generation Snapdragon 8 flagship chip, utilizing 3nm process technology, has achieved a 20% performance increase in CPU, 23% in GPU, and 37% in NPU for AI applications [3] - Major smartphone brands like Honor, Xiaomi, Vivo, and OPPO plan to adopt the fifth-generation Snapdragon 8 in their flagship products [3] Group 3: AI Applications and Collaborations - Qualcomm and Honor are collaborating on developing edge AI model solutions to enhance user experience in applications like image recognition and color extraction [4] - The partnership aims to create GPU-NPU heterogeneous AI technologies to improve gaming graphics through AI learning [4] Group 4: Future AI Applications - Qualcomm predicts that robots and various wearable smart glasses could become as prevalent as smartphones in the future [6] - The automotive sector is identified as a prime application area for edge AI due to its need for local processing capabilities [6] Group 5: Evolution of Intelligent Agents - The future will shift from mobile-centric to intelligent agent-centric systems, requiring advanced understanding and decision-making capabilities [7] - 6G is expected to support real-time collaboration between edge devices and the cloud, enhancing AI-native applications [7] Group 6: Competitive Landscape - Domestic smartphone manufacturers are developing specific AI applications, with Honor's intelligent agent supporting over 200 vertical scenarios and 3000 general scenarios [8] - Other brands like OPPO, Vivo, and Xiaomi are also enhancing their AI capabilities, integrating them with their operating systems [8] Group 7: Challenges and Requirements - The development of AI intelligent agents necessitates advancements in both hardware AI chip capabilities and software interaction methods [9] - Companies must focus on personalized services through AI while addressing cost and technical challenges in their solutions [9]