Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - Artificial Intelligence (AI) is rapidly transforming industries and society, driving innovation and industrial change [4] - AI is reshaping communication services, enhancing user interaction experiences and creating new business models [8] - The integration of AI into communication services is expected to deepen collaboration within the ecosystem and redefine business models [49][53] Summary by Sections 1. Introduction - AI is becoming a driving force for technological innovation and industrial transformation, reshaping lifestyles and business models [4] 2. AI Opens New Areas for Communication Services - AI is redefining user interaction by integrating multiple modalities for a more immersive experience [10] - AI enhances traditional voice and video calls with features like real-time translation and personalized experiences [13][14] - AI-driven instant messaging platforms offer intelligent Q&A, information filtering, and cross-language communication [19][21] - AI enables the creation of personalized video ring-back tones (RBT) and immersive communication experiences [22][24] 3. AI Paves New Paths for Terminal Development - AI is driving the evolution of smart devices, including smartphones, wearables, and robots, enhancing user experience and interaction [28] - AI smartphones are expected to see a compound annual growth rate of 63% from 2023 to 2028 [30] - AI wearables are becoming more intelligent and independent, providing precise health monitoring and seamless interaction [31][40] - AI robots are transitioning from programmed tasks to autonomous decision-making capabilities [41][44] 4. AI Reshapes the Communication Service Ecosystem - The traditional roles of players in the communication ecosystem are changing with the introduction of AI technology providers and vertical industry enterprises [48] - AI is expected to enhance collaboration among ecosystem participants, driving innovation and expanding service offerings [50][51] - The shift from "pipeline providers" to "new information service providers" is anticipated as operators seek to diversify their service offerings [53] 5. New Challenges Brought by AI Development - The implementation costs of AI services are high, and the effectiveness often does not meet user expectations [57] - AI technology poses higher demands on communication performance, requiring advancements in network capabilities [59][60] - Data security and the risk of technology misuse are significant challenges in the integration of AI with communication services [62][63] 6. AI-Driven Communication Service Prosperity - The integration of communication and AI technologies is expected to drive the intelligent transformation of various industries [68] - The report emphasizes the need for operators and partners to explore innovative applications of AI-driven communication services [69] - Enhancing network capabilities and data security measures is crucial for the future of AI in communication [71]

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Artificial Intelligence (AI) is revolutionizing communication services, enhancing user interaction and experience through advanced technologies such as natural language processing and deep learning [3][7] - AI is driving the evolution of terminal devices, making them smarter and more interactive, which is expected to significantly improve user experience [4][28] - The integration of AI into communication services is expected to reshape business models and deepen collaboration within the communication ecosystem [47][52] Summary by Sections 1. Introduction - AI is transforming industries and society at an unprecedented pace, becoming a key driver of technological and industrial change [3] 2. AI Opens New Frontiers for Communication Services - AI is reshaping user interaction by integrating multiple modes of communication, leading to more dynamic and immersive experiences [10][12] - Enhanced call experiences are being developed through real-time translation and AI-driven features that personalize communication [13][15] - AI is improving information delivery by enabling smart Q&A, filtering, and cross-language communication [19][21] - Video robot technology is being revolutionized by AI, allowing users to create personalized video content easily [22] - AI is expanding immersive communication, enhancing user experiences across various sectors such as healthcare and education [24][25] 3. AI Paves New Paths for Terminal Development - AI is driving the evolution of smartphones, wearables, and robots, enhancing their capabilities and user interactions [28][29] - The market for AI smartphones is expected to grow significantly, with a projected compound annual growth rate of 63% from 2023 to 2028 [30] - AI is enhancing the functionality of smart wearables, making them more independent and capable of providing personalized health monitoring [31][33] - AI is transforming traditional robots into intelligent machines capable of autonomous decision-making and complex task execution [40][41] 4. AI Revitalizes the Communication Service Ecosystem - New entrants in the communication ecosystem, including AI solution providers, are reshaping industry dynamics and fostering collaboration [47][48] - AI is expected to deepen cooperation among ecosystem participants, enhancing the development of innovative applications [49][50] - The traditional role of operators is evolving from "pipeline providers" to "new information service providers," driven by AI advancements [52][53] 5. Challenges in Service Innovation - The implementation of AI services in communication faces high costs and varying effectiveness, necessitating significant resource investment [56] - Technical challenges arise from the increased data transmission demands of AI, impacting network performance [58][59] - Security challenges include the risk of misuse of AI technologies and the complexities of ensuring data safety [61][62] 6. Promoting Industry Cooperation for AI-Driven Communication Services - The integration of AI into communication services is expected to drive significant industry transformation and innovation [67][68] - Operators and partners are encouraged to explore innovative applications of AI to enhance communication services [68][70]

Investment Rating - The report does not explicitly provide an investment rating for the industry or companies involved Core Insights - The report emphasizes the continuous improvement in 5G smartphone performance due to advancements in hardware specifications and the integration of new technologies such as AI and 5G new calling services [15][18] - The evaluation framework includes four dimensions: communication capability, multimedia capability, product usability, and user feedback, with a total of 15 key indicators and 112 testing metrics [4][5] Summary by Relevant Sections Communication Capability - The top-performing models in communication capability are Xiaomi 15 Pro and Honor Magic7 Pro, with Vivo X200 Pro excelling in 5G new calling performance [15][18] - Xiaomi 15 Pro and Vivo X200 Pro demonstrate the best antenna transmission performance, while Honor Magic7 Pro and Vivo X200 Pro excel in antenna reception performance [18][24] - All flagship phones achieve optimal performance in 5G new calling, with Xiaomi 15 Pro and Vivo X200 Pro showing superior message box performance [36] Multimedia Capability - Vivo X200 Pro ranks highest in multimedia capability, with Xiaomi 15 Pro having the best screen quality [39][40] - The camera performance is led by Vivo X200 Pro and Honor Magic7 Pro, with notable strengths in low-light photography and detail retention [40] Product Usability - Xiaomi 15 Pro and Vivo X200 Pro are rated highest for product usability, with Vivo X200 Pro offering the best battery life due to its 6000mAh battery [48][52] - OPPO Find X8 Pro and Honor Magic7 Pro show the best power consumption performance, while Xiaomi 15 Pro and OPPO Find X8 Pro excel in heat control [49][58] User Feedback - User satisfaction ratings indicate that Honor Magic7 Pro, OPPO Find X8 Pro, and Xiaomi 15 Pro have the best user feedback [15]

Investment Rating - The report does not explicitly provide an investment rating for the industry or companies involved Core Insights - The report emphasizes the continuous improvement in 5G smartphone performance due to advancements in hardware specifications and the integration of new technologies such as AI and 5G new calling services [15][18][36] - The evaluation framework includes four main dimensions: communication capability, multimedia capability, product usability, and user reputation, with a total of 15 key indicators and 112 testing metrics [4][5][6] Summary by Relevant Sections Communication Capability - The top-performing models in communication capability are Xiaomi 15 Pro and Honor Magic7 Pro, with vivo X200 Pro excelling in 5G new calling performance [15][18] - Xiaomi 15 Pro and vivo X200 Pro demonstrate the best antenna transmission performance, while Honor Magic7 Pro excels in antenna reception [18][24] - Data transmission performance is optimized through features like uplink dual transmission and carrier aggregation, with Xiaomi 15 Pro and Honor Magic7 Pro achieving the best overall performance [18][30] Multimedia Capability - Vivo X200 Pro ranks highest in multimedia capability, particularly in camera performance, while Xiaomi 15 Pro has the best screen quality [39][40] - The report highlights improvements in video stability and low-light photography across various models, with iPhone 16 Pro Max noted for its optical resolution [43] Product Usability - Xiaomi 15 Pro and vivo X200 Pro are recognized for their superior product usability, with vivo X200 Pro featuring a 6000mAh battery for extended battery life [48][52] - OPPO Find X8 Pro and Honor Magic7 Pro show the best power consumption performance, while Xiaomi 15 Pro excels in heat control [55][58] User Reputation - Honor Magic7 Pro leads in user satisfaction, followed by OPPO Find X8 Pro and Xiaomi 15 Pro, with OPPO Find X8 Pro receiving the highest e-commerce ratings [66][71] - The report indicates that user satisfaction is influenced by hardware configuration, system experience, and overall value for money [71]

Investment Rating - The report provides a comprehensive evaluation of 5G mobile phones, highlighting the performance of various flagship models from different manufacturers, indicating a positive outlook for the industry [17][95]. Core Insights - The report emphasizes the continuous improvement in mobile phone performance due to advancements in hardware specifications and the integration of new technologies such as AI and 5G new calling features [17][64]. - It identifies the top-performing models in various categories, including communication performance, multimedia capabilities, and user satisfaction, suggesting a competitive landscape among manufacturers [17][95]. - The report also highlights the importance of user experience in evaluating mobile phone quality, advocating for the integration of new business models and technologies into the assessment framework [10][111]. Summary by Sections 5G Mobile Phone Evaluation - The evaluation framework includes four dimensions and 15 key indicators, with a total of 112 testing metrics to assess the quality of 5G mobile phones [8][9]. - The top-rated models include Xiaomi 15 Pro, Honor Magic7 Pro, and vivo X200 Pro, with Xiaomi 15 Pro leading in overall performance [17][95]. Camera Performance Evaluation - The camera performance assessment includes six flagship models and evaluates based on objective metrics and subjective scenarios, with vivo X200 Pro achieving the highest rating [23][25]. - Key strengths of the top models include excellent low-light performance and effective image stabilization [25][23]. Gaming Performance Evaluation - The gaming performance evaluation focuses on five dimensions, including smoothness, battery life, heat generation, response speed, and multimedia effects, with Red Magic 10 Pro+ rated the highest [27][30]. - The report notes significant improvements in gaming smoothness and response speed compared to 2023 [30][32]. AI Performance Evaluation - The AI performance assessment incorporates four dimensions and fourteen capabilities, with vivo X200 Pro and Xiaomi 15 Pro rated highly for their comprehensive AI functionalities [38][64]. - The report highlights the integration of AI in enhancing user interaction and system efficiency [64][62]. Beidou Messaging Evaluation - The Beidou messaging evaluation assesses three flagship models based on success rates and latency performance, with Huawei Mate70 Pro+ performing the best [71][74]. - Recommendations for optimization are provided for other models to enhance their performance [71][74]. Beidou Positioning Evaluation - The positioning evaluation examines static and dynamic navigation performance across six models, with Huawei Mate70 Pro+ and Honor Magic7 Pro showing superior performance [90][88]. - The report emphasizes the need for manufacturers to improve antenna and algorithm optimization for better positioning accuracy [90][88]. 5G Messaging Evaluation - The 5G messaging evaluation assesses six flagship models on functionality, performance latency, and user experience, with vivo X200 Pro rated the highest [91][95]. - The report suggests areas for improvement in functionality and user experience for several models [102][95].

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report emphasizes the development of a new information service system that integrates connectivity, computing power, and capabilities, aiming to enhance the innovation and development of cloud and computing terminal products [8] - It highlights the importance of the China Mobile computing network as a new infrastructure that connects distributed computing resources, optimizing network and computing power for improved user experience [8] - The report outlines the requirements for various cloud terminal products, including cloud phones, cloud computers, and XR devices, focusing on their software and hardware specifications [10][12][18][42] Summary by Sections 1. Introduction - The introduction discusses the need for a new information service system to drive innovation and the development of cloud and computing terminal products, establishing a robust product foundation for market growth [8] 2. Terminal Adaptation Requirements - Cloud terminals must connect to the China Mobile computing network and adapt to specific middleware types to build an ecosystem of cloud and computing terminal products [10] 3. Cloud Terminal Product Requirements - **Cloud Phones**: These devices leverage 5G networks and cloud infrastructure, allowing local devices to interact with cloud resources, breaking the limitations of traditional terminals [12] - **Cloud Computers**: These devices centralize computing and storage in the cloud, offering advantages in maintenance, security, and cost efficiency for both personal and business users [18] - **XR Devices**: The report discusses the integration of AR, VR, and MR technologies, emphasizing their role in creating immersive experiences and connecting the physical and digital worlds [42] 4. Computing Terminal Product Requirements - **Computing Hosts**: Specifications for different types of computing hosts, including storage, media, and connection types, are detailed, focusing on hardware and software requirements [34] - **Collaboration Terminals**: These terminals are designed to utilize computing resources from the China Mobile network, enhancing collaborative capabilities [41] 5. Anti-Fraud Features - The report includes a section on anti-fraud functionalities, although specific details are not provided in the summary [44] 6. Product Identification Requirements - Identification requirements for products are outlined, ensuring compliance with industry standards [44] 7. Conclusion - The conclusion reiterates the importance of establishing a comprehensive ecosystem for cloud and computing terminal products to support the growth of the China Mobile computing network [44]

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The rapid development of artificial intelligence, particularly since the introduction of the Transformer model in 2017, has led to the emergence of multimodal large models that can process text, images, and audio, showcasing significant application potential across various sectors [3][4] - The report emphasizes the need for a comprehensive and objective evaluation system for multimodal large models to assess their performance in specific task scenarios, which is crucial for their development and practical application [4][5] - The "Yiheng" evaluation system is proposed to address the challenges in evaluating multimodal large models, focusing on user perspectives and aiming to create a standardized ecosystem for evaluation in the industry [5][36] Summary by Sections 1. Background of Multimodal Large Model Evaluation - The development of multimodal large models has enhanced their ability to process diverse data types, leading to widespread applications in various industries such as content creation, education, finance, healthcare, and smart manufacturing [6][7] - The report identifies the need for an evaluation framework that can objectively assess the performance of these models in different application scenarios, highlighting the challenges posed by the complexity and diversity of evaluation tasks [9][12] 2. Evaluation Technology for Multimodal Large Models - The evaluation methods for multimodal large models include objective assessments using quantitative metrics and subjective evaluations through human scoring, particularly for creative tasks [18][19] - Key evaluation dimensions identified include model performance, generalization ability, robustness, and consistency, with common metrics such as accuracy, F1 score, and BLEU being utilized [21][22] 3. Typical Evaluation Systems for Multimodal Large Models - Various evaluation systems have been developed by research institutions and companies, such as MMBench, OCRBench, and SEED-Bench, each focusing on different aspects of model performance and application scenarios [24][25][26] - These systems aim to provide comprehensive assessments of multimodal large models, addressing both subjective and objective evaluation needs [28][30] 4. "Yiheng" Multimodal Large Model Evaluation System - The "Yiheng" evaluation system is structured around a "2-4-6" framework, which includes two types of evaluation scenarios, four evaluation elements, and six evaluation dimensions, focusing on functionality, performance, reliability, safety, and interactivity [35][36] - The evaluation tasks are categorized into basic tasks and application tasks, with specific examples provided for each category, ensuring a thorough assessment of the models' capabilities in real-world applications [39][41]

Investment Rating - The report does not explicitly provide an investment rating for the industry. Core Insights - The integration of AI technology with 6G networks is an inevitable trend, enhancing both ecosystems and promoting mutual growth [3][8] - The report emphasizes the need for deep collaboration between industry, academia, and research to explore valuable future technologies in the realm of AI and 6G [3][11] - The vision for 6G networks includes a shift from traditional connectivity to a comprehensive platform that integrates communication, perception, computation, AI, and big data [8][10] Summary by Sections 1. Background - The development of 5G has marked a significant milestone in global communications, but the depth of application remains limited, with a need for killer applications [5] - 6G is currently in the early research and development stage, with many countries and organizations actively participating in its technological evolution [5][6] 2. Vision, Current Status, Pathways, and Principles - The vision for 6G networks includes deep integration of AI, aiming to provide high-performance, near-real-time AI applications and services [10] - The current status of the industry shows a strong push from both domestic and international organizations towards the integration of AI in 6G networks [11] - Development pathways focus on two aspects: AI for Network (AI4NET) and Network for AI (NET4AI), both driving the evolution of the technology [12][13] 3. Technical Solutions - AI for Net aims to enhance network performance and operational efficiency through AI technologies, addressing challenges faced by 5G [16][19] - Net for AI focuses on providing AI capabilities through the network, ensuring efficient resource allocation and service quality [25][26] - The report outlines specific technical goals for both AI for Net and Net for AI, emphasizing the need for a unified lifecycle management approach and resource decoupling [20][21][22] 4. Industry Initiatives - The establishment of organizations like 6GANA in China aims to promote the deep integration of AI with wireless networks [11] - International collaborations, such as the O-RAN Alliance and Next G Alliance, are working towards standardizing AI capabilities in 6G networks [11][12] 5. Future Directions - The report calls for a focus on developing robust, trustworthy AI applications within 6G networks, addressing potential security risks and ensuring service quality [28][29] - Emphasis is placed on creating a sustainable, low-cost implementation of AI within 6G networks, balancing energy consumption with performance [29]

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The BeiDou Navigation Satellite System (BDS) is one of the four major global satellite navigation systems, significantly impacting national security, economic development, and social life [2] - The development of an independent BeiDou system enhances national security, promotes technological innovation, and boosts international competitiveness [2] - The report emphasizes the importance of integrating BeiDou with emerging technologies like 5G, IoT, and AI to foster innovation and application in various sectors [44] Summary by Sections BeiDou System Capabilities - The BeiDou system consists of a mixed constellation of satellites in GEO, IGSO, and MEO orbits, enhancing coverage and service performance [11] - Key technologies include high-performance onboard atomic clocks, inter-satellite links, short message communication, and ground-based augmentation systems [13][16] BeiDou System Performance - Since its official launch in July 2020, the BeiDou system has maintained stable operations with world-leading service performance [14] - The system offers unique features such as global short message services, which are not available in other systems [14] BeiDou System Industry Status - The BeiDou application market is expanding, with a reported industry output value of 536.2 billion RMB in 2023, a 7.09% increase from 2022 [24] - The core output related to satellite navigation technology reached 161.1 billion RMB, accounting for 30.04% of the total output [24] Future Development and Policy Recommendations - Future directions include enhancing service quality, deepening integration with new technologies, and expanding international market presence [44][45] - Recommendations include establishing national and industry standards, legal protections, and promoting international cooperation [46]

Investment Rating - The report does not explicitly provide an investment rating for the industry. Core Insights - The year 2024 is recognized as the "AI Year" for mobile phones, driven by advancements in terminal chip computing power and model miniaturization technologies [3]. - The evaluation focuses on five flagship smartphones, assessing their AI capabilities across four dimensions: image functionality, text functionality, screen recognition, and voice functionality, with a total of 36 indicators [4][5]. Summary by Sections Part 01: Overall Evaluation Overview - The report outlines the increasing integration of AI features in flagship smartphones, highlighting the competitive landscape among major brands [3][4]. Part 02: Image Functionality - The vivo X100 Pro scored the highest in image functionality, offering comprehensive AI features such as text-to-image generation and image understanding [7][10]. - The OPPO Find X7 Ultra and Samsung S24 Ultra also performed well, particularly in smart optimization and portrait styles [8][10]. - The report notes that the Samsung S24 Ultra's AI capabilities are limited in the domestic version due to regulatory restrictions, affecting its overall performance [7][8]. Part 03: Text Functionality - The vivo X100 Pro excelled in text functionality, particularly in text creation and summarization, aided by its Blue Heart small V application [26][27]. - The OPPO Find X7 Ultra showed strong performance in automated code writing and content summarization, while the Honor Magic6 Pro provided detailed travel guides [27][29]. Part 04: Screen Recognition Functionality - The vivo X100 Pro led in screen recognition capabilities, particularly in screen reading and identifying content [36][37]. - The OPPO Find X7 Ultra and Honor Magic6 Pro performed well in recognizing and generating tasks from screen content [37]. Part 05: Voice Functionality - The vivo X100 Pro demonstrated superior performance in voice functionality, particularly in AI subtitle recognition and real-time translation [8][37]. - The Honor Magic6 Pro and Samsung S24 Ultra also showed strong capabilities in voice assistant functions [8][37].