蚂蚁集团正在持续打造"AI超级医生助理"，可整合患者病历、影像及最新医学指南，生成结构化诊断建 议并提供权威文献支持，助力医生提升诊疗效率。同时通过医疗大模型一体化实现本地化部署，保障数 据安全。去年已面向用户推出"AI健康管家"，已覆盖找医生、读报告、医保咨询等核心需求，支持健康 自测及体检报告解读，接入60多位名医AI智能体，累计服务功能近百种，半年服务超4,000万用户。 智通财经APP获悉，香港计算机学会金融科技专家小组执行委员会成员陈婉真表示，今年可谓AI应用爆 发元年，港府与学界连手推出HKGAI V1大模型。该模型基于DeepSeek架构进行全参数微调，不仅能流 畅处理粤语对话，更深度整合香港法律文书与公务流程。这种"本地化AI"路径，正成为城市治理的创新 范式──既保留技术自主性，又融入本地文化基因。 在产业方面，港府积极应对AI引领的新一轮技术革命和产业变革，包括建设AI超算中心、推出30亿港 元AI资助计划等，现时科学园及数码港亦汇聚逾800间AI相关企业。同时引进办自投运两年以来累计引 进84间重点企业，当中超过三成五属于数据科学与AI企业，蚂蚁数科亦成为其中一间重点引进企业并 将海外总 ...

Core Insights - The 27th China Association for Science and Technology Annual Conference held a forum on "6G Technology Innovation and Future Industry Development," gathering global experts to discuss the future direction, opportunities, challenges, and cutting-edge technologies of 6G [1] - Academician Wu Hequan presented a report titled "Exploring 6G Innovation with AI as the Engine," highlighting that 6G will be characterized by intelligence, integrating AI to enhance network capabilities and support various services [3][4] Group 1: 6G Characteristics and Development - Each generation of mobile communication has distinct features: 1G focused on mobility, 2G on speed, 3G transitioned to packet IP, 4G initiated mobile processes, and 5G advanced cloud integration, while 6G will emphasize intelligence [3] - 6G is expected to deeply integrate sensing, computing, and communication, with AI playing a crucial role in enabling intelligent networks and supporting both traditional and new services [3][4] Group 2: AI Integration and Services - AI will not only serve wireless access and core networks but will also create AI terminals and enhance network management, operations, and enterprise management, expanding into vertical industries like vehicle networking and satellite internet [3][4] - The concept of "AI as a Service" will be significant in 6G, offering intelligent network services, integrated sensing and computing services, layered services, and industry-customized services [4] Group 3: Technical Challenges and Innovations - The core network must address the increasing demand for data and optimize AI platform construction through solutions like computing hubs [4][5] - Wireless technology optimization in 6G can leverage AI to explore potential in non-ideal conditions, with challenges including data scarcity, environmental complexity, and model generalization [4][5] - The introduction of AI in the core network can optimize configurations but faces challenges related to data and computing costs, real-time processing, and security [5]

Core Insights - The article emphasizes the rapid emergence of edge AI products in response to global economic and technological trends, highlighting the shift towards intelligent consumer electronics and advanced hardware like robots and vehicles [1] - The integration of AI technology into consumer electronics is identified as a significant market trend, with projections indicating that AI terminal sales in the domestic market will approach 80% by 2027 [3] - The consumer electronics market is expected to grow from $977.5 billion in 2025 to $12.5 trillion by 2034, with an average annual growth rate of 2.8% [1] Consumer Electronics Market - The global consumer electronics market is projected to reach $949.7 billion in 2024, showing a slight decline from the previous year but indicating new growth potential [1] - The transition from traditional devices to smart terminals is opening a new chapter in the intelligent development of the consumer electronics industry [1] AI Mobile Phones - AI mobile phones have seen significant upgrades in hardware components such as NPU, storage, and display, enhancing their capabilities for real-time processing of complex AI tasks [3] - The integration of edge AI has revolutionized user interaction, enabling more diverse and human-like communication methods [3] AI PCs - AI PCs benefit from more robust hardware configurations, allowing for greater intelligent capabilities and efficiency improvements in daily tasks [4] - The current market lacks a "killer application," leading to a competitive landscape where differentiation among devices is minimal [4] Wearable Devices - The market for wearable devices, particularly smart glasses, is expected to grow rapidly, with projections of over 1 million units shipped this year [5] - Smart glasses are focusing on innovations in voice interaction, navigation, real-time translation, and health monitoring, aiming to become the next essential smart device [5] Other Wearable Technologies - Other wearable categories like smartwatches and rings are transitioning from single-function upgrades to system-level innovations, emphasizing health monitoring and personalized services [6] - Emotional companion devices are emerging, leveraging multi-modal capabilities to address consumer emotional needs [6] Chip and AI Technology Integration - The demand for audio and video processing chips is increasing as smart terminals evolve, with manufacturers accelerating the integration of edge AI technology [7] - Companies like Yuchip Technology and others are making significant advancements in AI chip design and audio processing, enhancing the capabilities of consumer and professional audio devices [8][10] Market Trends and Future Outlook - The integration of AI technology into consumer electronics is reshaping interaction logic and application scenarios, moving towards a new commercial ecosystem defined by "AI as a service" [12] - The rapid fusion of chip technology and edge AI is seen as a positive signal for the future of the edge AI market, indicating a shift from simple function embedding to deeper integration of AI across various applications [11]