大连理工大学"一种轴压筒壳结构承载力折减因子确定方法"项目获得本届中国专利金奖。同方威视"一 种行李物品CT安检系统及其探测器装置"发明专利，其诞生源于对行业痛点的深刻洞察与颠覆性创新。 在大会的第二十五届中国专利金奖展区，集中展示了30项中国专利金奖与10项外观设计金奖的璀璨成 果。展台上陈列着部分专利金奖的实物精品，每一件都凝聚着创新智慧，彰显着中国专利为知识产权强 国建设注入的强劲动力。（记者张蕴） 腾讯云数据库TDSQL凭借核心专利"数据库事务处理方法、装置及服务器"，获得第二十五届中国专利 金奖，标志着数据库技术首次摘得中国知识产权领域最高荣誉。这一突破性成果不仅刷新了全球事务处 理与决策支持性能纪录，也已在大型金融机构，以及医保、交通、人口普查等重大民生工程中规模应 用。记者了解到，目前，腾讯云数据库TDSQL在辽宁省医保服务平台、辽宁农信、大连银行等都已投 产使用。与此同时，腾讯云构建起覆盖数据库TDSQL、操作系统TencentOS、专有云TCE、PaaS平台 TCS、大数据TBDS与腾讯云TI平台的全栈基础软件"6T"体系，全面适配国产软硬件生态。 记者从第二十五届专利奖颁奖现场获悉，"用于 ...

Group 1: AI Software Evolution - The evolution of AI software has transitioned from standalone tools to a complex ecosystem that supports large-scale applications [3][4] - The global AI market is projected to grow from $371.71 billion in 2025 to $2,407.02 billion by 2032, with a compound annual growth rate (CAGR) of 30.6% [3] - Companies are increasingly seeking AI solutions that integrate seamlessly into existing business processes, emphasizing the need for usability, stability, and manageability [4] Group 2: Rise of AI Agents - AI Agents are defined as intelligent programs capable of perceiving their environment, making decisions, and executing tasks autonomously [6] - The global AI Agent market is expected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, with a CAGR of 44.8% [6] - Early adopters of AI Agents have reported efficiency improvements of up to 50% in customer service and sales functions [6] Group 3: Collaboration of Agents - Companies face a choice between developing a single comprehensive Agent or a collaborative system of specialized Agents [7] - Multi-agent systems are seen as a more effective solution for complex enterprise problems, allowing for specialization and collaboration [7] - New approaches, such as the "no API" model, aim to reduce integration costs and improve the efficiency of multi-agent collaboration [8] Group 4: Technical Support for Agents - MLOps and AI orchestration are essential for the stable operation of both single and multi-agent systems [10] - The global MLOps market is projected to grow from approximately $4.5 billion in 2024 to $20 billion by 2034 [10] - AI orchestration focuses on managing complex workflows involving multiple models, Agents, and data streams, with predictions indicating that 50% of organizations will develop AI orchestration platforms by 2025 [11] Group 5: Future of AI and Human Interaction - The debate continues on whether AI will fully replace human jobs or foster a more efficient human-machine collaboration [13][14] - While complete automation could enhance productivity by freeing humans from repetitive tasks, concerns about AI's "black box" nature and decision-making transparency remain [14] - Insights from major industry players at upcoming conferences may provide further clarity on the strategic direction of AI technology [14]

Core Insights - The current trends in AI applications include richer interactive experiences, more efficient model usage, and quicker application development, which are being addressed by Tencent Cloud's continuous product updates [1][5] - Tencent Cloud has launched the "Tencent Cloud Voice PaaS Solution," integrating advanced ASR and TTS models with real-time communication capabilities to enhance user interaction experiences for enterprises [2][7] - The TI platform has undergone comprehensive upgrades to improve model training capabilities, including support for various training methods and enhanced resource scheduling, which significantly reduces costs for enterprises [8][9] Group 1: AI Application Trends - The integration of large language models and multimodal models is evolving user interactions from text to voice and video, increasing the penetration of AI applications [5] - Efficiency in training and inference is improving through better resource management and optimization, leading to lower model usage costs and broader application scenarios [5] - The rapid deployment of intelligent agents is lowering the barriers for enterprises to build AI applications, enabling quick implementation through tools like the intelligent agent development platform [5][10] Group 2: Product Innovations - The "Tencent Cloud Voice PaaS Solution" creates a full-loop interaction model that allows for low-cost and rapid deployment of voice interaction solutions for enterprises [2][7] - The TI platform has been upgraded to support more training methods, including distillation and reinforcement learning, and has introduced capabilities for autonomous driving model training [8][9] - The platform's resource scheduling improvements allow for better utilization of computing resources, enhancing overall efficiency in AI development [9] Group 3: Intelligent Agent Development - The intelligent agent development platform has been upgraded to include advanced RAG technology and comprehensive agent capabilities, enabling users to quickly build intelligent agents in the era of large models [10][11] - The platform supports a multi-agent collaboration system, allowing for efficient task management and execution across various business scenarios [13][16] - A robust permission configuration system is in place to manage access at multiple levels, ensuring secure and flexible operations for enterprises [14][15]

Core Insights - Tencent is significantly increasing its investment in AI to accelerate the digital economy in the Greater Bay Area, having established multiple computing power centers and partnered with over 2,000 partners to serve 220,000 clients across various sectors [2][3]. Investment and Development - Tencent's R&D investment in the first quarter of this year grew by 21% year-on-year, reaching 18.9 billion yuan, focusing on foundational large models, computing power, development tools, and application layers [3][4]. - The company is committed to a dual strategy of self-research in core technologies and embracing advanced open-source AI development [3][4]. Digital Services and Education - Tencent Cloud has developed several digital services for public welfare, such as the "Yue Province Affairs" and "Ride Code," facilitating over 10 million enterprises in Guangdong to conduct business without certificates [3]. - The company collaborates with universities like Shenzhen University to promote digital education and has established AI teaching platforms covering 1,500 primary and secondary schools [3]. Computing Infrastructure - Tencent has set up multiple data centers in the Greater Bay Area, including Guangzhou, Qingyuan, and Shaoguan, to provide foundational computing support for industrial upgrades [4]. - The Tencent Cloud TI platform offers comprehensive services for developers, covering data acquisition, processing, model training, evaluation, and deployment [4]. Robotics and Intelligent Technology - Tencent has released several leading-edge robots and possesses a full-chain service capability for embodied intelligence, providing one-stop services from GPU computing power to application adaptation [4]. - The company collaborates with leading firms in the field of robotics, focusing on breakthroughs in areas such as robot brain training and intelligent control [4].

Core Viewpoint - Tencent is significantly increasing its investment in AI to accelerate the digital economy in the Greater Bay Area, leveraging its technological innovations and partnerships to enhance various industries [2][5]. Group 1: AI Investment and Digital Economy - Tencent Cloud has established multiple computing power centers in the Greater Bay Area and partnered with over 2,000 partners, serving 220,000 clients across various sectors including government, education, healthcare, transportation, cultural tourism, and industry [2]. - Tencent's R&D investment reached 18.9 billion yuan in Q1 2025, marking a 21% year-on-year increase, focusing on foundational models, computing power, development tools, and application layers [5]. Group 2: Collaboration and Support Initiatives - Tencent has provided technical support for the Canton Fair for six consecutive years, enhancing the online platform's stability and contributing to digital services like "Yue Province Affairs" and "Ride Code" [3]. - The collaboration with Guangzhou Digital Technology Group aims to build a high-quality digital industry ecosystem, including the development of an integrated budget system for the Guangdong Provincial Finance Department [4]. Group 3: Education and Talent Development - Tencent is actively involved in digital education initiatives, partnering with universities to cultivate AI talent and implementing AI courses in 1,500 primary and secondary schools [3]. Group 4: Global Expansion and Localization - Tencent Cloud is enhancing its software ecosystem to support domestic enterprises, with a focus on "6T" enterprise-level software that meets national security standards and integrates with mainstream domestic hardware and software [6]. - The company plans to invest $150 million in the Middle East and $500 million in Indonesia for data center expansions, aiming to assist Bay Area enterprises in their global expansion efforts [6].

Core Viewpoint - Tencent Cloud is accelerating the localization of database software with the launch of the TDSQL integrated version, which aims to provide a secure and efficient database solution for enterprises [1][4]. Group 1: Product Development - The TDSQL database is fully compatible with MySQL and PostgreSQL, achieving 100% compatibility with MySQL and 98% with Oracle syntax, facilitating smooth migration for enterprises [4][6]. - TDSQL, developed since 2009, has evolved to support various applications in finance and government, breaking world database performance records in 2023 [6][9]. Group 2: Market Context - Oracle has historically dominated the Chinese market with over 70% market share in the 1990s to 2010, but its high costs and performance issues have led to a push for domestic alternatives [7][8]. - The Chinese relational database market is now led by local companies, with Alibaba, Tencent, and Huawei holding 26.2%, 14.9%, and 11.1% market shares respectively, according to IDC 2023 [9]. Group 3: Strategic Initiatives - Tencent has invested in a comprehensive suite of domestic software solutions, including TDSQL, TencentOS, and various industry-specific applications, to support innovation across multiple sectors [11]. - The company collaborates with over 50 partners to create 65 replicable industry solutions, addressing the needs of finance, government, healthcare, and more [11].

Core Viewpoint - The integration innovation industry is approaching a critical point of explosion, with Tencent Cloud positioned to benefit from this growth as it emphasizes integration innovation alongside AI and international expansion [2][5][7]. Group 1: Industry Growth and Trends - The integration innovation sector is experiencing rapid growth, with listed companies involved in this space showing significant expansion [2][3]. - Since 2020, the integration innovation industry has entered a phase of large-scale promotion, driven by policies and digital upgrades, leading to a complete ecosystem from basic hardware and software to core application systems [7]. - The Chinese government has implemented various policies to support domestic innovation, with a focus on self-sufficiency in technology [5][6]. Group 2: Tencent Cloud's Position and Strategy - Tencent Cloud is one of the few cloud service providers making substantial investments in integration innovation, focusing on leveraging its strengths in software rather than attempting to cover the entire market [2][3]. - The company has developed a comprehensive software system that includes foundational software and application software, which is compatible with mainstream domestic hardware and software ecosystems [2][3]. - Tencent Cloud has established a dealer system covering 28 provinces and various industries to respond quickly to customer needs for innovation upgrades [4]. Group 3: Market Opportunities - The integration innovation market is described as a vast "blue ocean," indicating significant growth potential [5]. - By 2027, state-owned enterprises are expected to fully complete the replacement of key technology components, marking a shift towards a comprehensive upgrade of the entire industry chain [6]. - Tencent Cloud aims to establish industry benchmarks and promote these solutions nationwide in collaboration with partners [4].

Group 1 - Tencent introduced multiple intelligent products for the automotive and mobility industry, including high-performance computing, precise data loops, and iterative AI models, covering the entire product development, manufacturing, and user service chain [1] - Tencent's smart mobility services currently support over 100 automotive and mobility technology companies, with its automotive public cloud growing at twice the industry average, and its cockpit solutions installed in over 15 million vehicles [1] - In the research and production field, Tencent Cloud Code Assistant enhances code completion, diagnosis, and testing tasks, improving accuracy by 30% after integrating deep thinking capabilities [1] Group 2 - In the sales and customer acquisition area, Tencent Qidian launched a "Clue Lean Product" based on large models, helping automotive companies identify high-quality sales leads, providing follow-up suggestions, and optimizing advertising strategies, resulting in a 25% reduction in lead costs and a 20% increase in conversion rates [1][2] - Tencent integrated enterprise knowledge bases into large models to help automotive companies build intelligent customer service systems, achieving an independent problem-solving rate of over 84% [2] - Tencent's AI knowledge base function in organizational management enhances cross-departmental knowledge flow, improving service efficiency and user satisfaction [2] Group 3 - Tencent's map and cloud integration allows for "financial-grade" encryption of data before transmission, ensuring compliance, and effective data isolation during cloud processing [2] - Tencent has obtained over 400 professional certifications and more than 20 compliance qualifications globally, being the first domestic cloud service provider to receive the CISPE license and fully compliant with GDPR, facilitating Chinese brands' expansion into overseas markets [3]

Core Insights - The rise of domestic open-source large models and intelligent agents has made "AI equality" a hot topic, with widespread adoption across various industries and scenarios [1] - Tencent has launched the "Hunyuan" large model, utilizing the MoE architecture, with flagship model parameters reaching trillions, leading in both general and specialized application capabilities in China [1][2] - Tencent's AI applications, such as the "Yuanbao" product, are gaining traction, with the product now ranking among the top three AI application assistants in China [2] Group 1: AI Development and Applications - Tencent is focusing on creating a usable and iterative AI intelligent system, emphasizing the importance of stable computing power, convenient tool platforms, and authoritative content sources for effective AI service delivery [3] - The company has developed the Tencent Cloud Intelligent Computing Suite, which allows users to set up and start training AI models within one day, achieving a parallel acceleration ratio of 96% and a daily failure rate of only one-third of the industry average [3] - Tencent's TI platform facilitates a one-stop solution for managing, fine-tuning, and deploying various AI models, resulting in a 70% reduction in data labeling costs and a 30% increase in model training efficiency [3] Group 2: Industry Collaboration and Impact - Tencent has collaborated with over 40 domestic robotics companies, with nearly 20 located in Guangdong province, to support the application of robots in various scenarios [3] - The company has successfully implemented its large models across more than 30 industries, including government, retail, finance, industry, healthcare, education, and cultural tourism [5] - Tencent emphasizes the need for collaborative efforts among the industry, government, and itself to effectively realize the potential of large models in different industry scenarios [5]