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新质生产力人工智能大会暨对接交流会在绵阳举行
Huan Qiu Wang Zi Xun· 2025-09-28 08:15
来源:环球网 9月26日,由中国生产力促进中心协会主办的新质生产力人工智能大会暨对接交流会在四川绵阳举行。 作为本届科博会的子活动之一,此次会议吸引了来自全国多个省市的企业负责人、高校专家以及金融投 资机构高管等嘉宾到场,通过经验共享、智慧碰撞和项目路演,为新质生产力的高质量发展注入新活 力。 "九科下一代企业自动化产品的核心特性体现在低门槛交互式辅助设计、智能性与可控性兼备、自动应 对异常与变动以及数字员工团队组织与协作等方面。"燕伟桐一句句掷地有声地介绍,让人们直观感受 到了民营经济在前沿领域的"硬实力"。 项目路演环节,深圳市鼎驰科技发展有限公司AI科技中心总经理、中国生产力促进中心协会AI联合创 新实验室副主任魏士博就《知识图谱、大模型与智能体融合驱动的企业级海量专业文档知识管理平台》 项目、中国工商银行绵阳分行科技金融中心负责人曾成就《拥抱智能浪潮 赋能金融未来》项目、成蹊 (香港)智能科技有限公司董事长闫婧以《以AI智能体服务科学家创业融资及企业成长》项目、江苏 榕树智能科技有限公司创始人付寅峰就《AI赋能情绪心理健康》项目、格陆博科技有限公司产品经理 王梦迪就《智能线控制动及底盘域控技术发展》项 ...
京东、阿里、美团上演新“三国杀” 谁能挟AI Agent卡位未来电商超级入口?
Xin Lang Cai Jing· 2025-09-28 05:56
Core Insights - The integration of AI into e-commerce is accelerating, with companies like JD.com and Taobao focusing on deep integration of large models into their business operations [1][2] - JD.com has introduced its e-commerce AI architecture, Oxygen, and plans to launch more intelligent features in its app, including smart shopping guides and 3D product presentations [1] - Various AI models have been developed based on JD.com's JoyAI model, serving as the "brain" and decision-making center for intelligent e-commerce [1] Group 1: JD.com's AI Initiatives - JD.com is developing functional intelligent agents for product display, procurement, customer service, and marketing to enhance the smart e-commerce platform [1] - The company has opened its multi-agent collaboration framework, OxyGent, and the Oxygent-9N-xLLM model inference engine for future technological openness [1] - JD.com is also focusing on enhancing product presentation technology, particularly in XR and 3D fields, to create virtual try-ons and 3D live streaming [2] Group 2: Industry Trends and Competitors - Other e-commerce platforms like Taobao and Meituan are also accelerating their AI initiatives, with Taobao launching features like "AI Assistant" and AI price comparison tools [2] - Meituan has introduced an independent C-end intelligent agent, "Xiao Mei," focusing on local life services and providing intelligent interaction based on user preferences [2] - The AI e-commerce sector is still in its early stages, with companies exploring different strategies and competitive advantages based on their unique business models [3] Group 3: Challenges and Future Directions - The main challenge in scaling 3D content creation lies in the time and cost involved in producing 3D models, which can take months and be expensive [2] - The phenomenon of "hallucination" in large models remains a significant issue, making it difficult to achieve definitive results in certain applications [3] - The future of AI in e-commerce will likely involve deeper multi-modal interactions, cross-scenario data integration, and the establishment of new industry norms regarding AI recommendations and user privacy [3]
科技周报|蓝战非多平台被禁止关注,京东宣布三年带动万亿生态
Di Yi Cai Jing· 2025-09-28 03:29
近期,"蓝战非自爆收入""蓝战非回应收入争议"等词条登上热搜。 超节点智算应用"北京方案"发布 9月26日,AICC2025人工智能计算大会上,中国移动、浪潮信息等30多家企业和机构联合发布《基于超 节点创新联合体,打造行业智能体——智算应用"北京方案"》。 点评:《北京方案》旨在联合芯片、系统、大模型开发、应用创新等领域企业和机构,进一步发展超节 点创新联合体,融合多元模型算法,开发面向特定场景的"行业智能体"。未来,率先将超节点做成"像 买服务器一样即插即用"的平台,将在 2026 年智能体大规模商用中占据生态制高点。 顶流网红旧言上热搜后多平台被禁止关注 美团新一代无人驾驶微型货车获批深圳无人城配跨区试点 第19届中国(深圳)国际物流与供应链博览会上,美团新一代无人驾驶微型货车亮相,并获得深圳市无 人城配跨区联网试点,覆盖龙华区、坪山区、南山区、宝安区、龙岗区等核心区域。据了解,这款车可 胜任30公里及以上距离的订单,与主打3至5公里配送范围的上一代美团无人配送车形成运力互补,拓展 了无人配送的服务半径。 点评:在加速国内商业应用的同时,美团无人配送车已于8月底在沙特利雅得开展L4级自动驾驶测试。 美团 ...
潘云鹤,最新发声!
Zheng Quan Shi Bao· 2025-09-27 08:56
Group 1 - The core viewpoint of the article emphasizes that AI+ will initiate a new wave in platform economy, leading it into a 2.0 era, where platform companies will leverage big data and AI to create economic activities through algorithms and models [1] - Since 2017, China has outlined five directions for AI planning, including big data intelligence, cross-media intelligence, collective intelligence, human-machine hybrid intelligence, and autonomous intelligent systems, with a focus on both cognitive and action simulation [1] - The issue of "big model hallucination," where generated content may not align with facts or logic, is highlighted as a significant concern, especially in engineering and scientific applications [1] Group 2 - A proposed solution to the hallucination problem is the development of specialized (domain) big models, which are becoming increasingly important [1] - The evolution of big models can transition from general to specialized and vice versa, with the latter potentially being more natural and smoother, akin to the development of individuals from specialists to generalists [2] - The concept of embodied intelligence is expected to further generalize and deepen, expanding the industrial space as robots evolve into more comprehensive intelligent terminals [4] Group 3 - The intelligent agent concept is anticipated to transcend hardware and software boundaries, becoming systems capable of perception, decision-making, and action [4] - The evolution of embodied intelligence will progress from visual-action (VA) models to more advanced visual-language-action (VLA) models combined with mechanics [4]
潘云鹤,最新发声!
证券时报· 2025-09-27 08:53
Core Insights - The article discusses the future of AI and its impact on platform economy, emphasizing the transition to a 2.0 era driven by AI applications in various sectors [2] - It highlights the importance of addressing the "hallucination" problem in large models, which can lead to significant issues in engineering and technology applications [3][4] - The evolution of embodied intelligence and its potential to expand the industry space through the integration of various intelligent systems is also a key focus [6] Group 1: AI and Platform Economy - AI+ is expected to initiate a new wave in platform economy, transitioning it to a technology service-oriented model [2] - Since 2017, China has outlined five directions for AI development, including big data intelligence and human-machine hybrid intelligence [2] Group 2: Challenges in AI Development - The "hallucination" issue in large models arises from statistical probability-driven "reasonable guesses," which can result in content that is inconsistent with facts or logic [3] - Solutions to mitigate hallucination include training specialized large models with domain-specific data and reconstructing the development path of large models [4] Group 3: Embodied Intelligence - The concept of embodied intelligence is expected to generalize and deepen, with intelligent systems evolving into broader intelligent terminals [6] - The integration of various intelligent systems, such as robots and drones, is anticipated to significantly expand the industry scale [6]
AI购物管家“张大妈”突围战:巨头竞逐之下,值得买科技的商业化路在何方?
Mei Ri Jing Ji Xin Wen· 2025-09-26 14:53
Core Insights - AI is transforming the shopping experience from "assisted decision-making" to "autonomous execution" with the launch of the "Zhang Dama" app by Zhidao Technology [1] - The app aims to automate various consumer scenarios, including product recommendations and price comparisons, using advanced technologies [1][3] - Major competitors like Meituan and JD.com are also developing their AI assistants, indicating a growing competitive landscape in the AI + consumption sector [1][4] Company Overview - Zhidao Technology's "Zhang Dama" app was publicly tested in September after an initial Android version was released in May [1][3] - The app focuses on cross-platform capabilities, allowing users to execute tasks like price protection and flight bookings [3][5] - The user base for "Zhang Dama" primarily comes from the main Zhidao platform, with high engagement metrics indicating strong user retention [3] Market Competition - JD.com and Meituan have launched their AI applications, "Jingxi" and "Xiao Mei," respectively, which aim to enhance user experience in shopping and local services [4][5] - The competition is intensifying as these companies leverage their large user bases and platform resources [5] Strategic Positioning - Zhidao Technology believes its cross-platform capabilities and deep task execution potential differentiate it from competitors [5][6] - The company aims to address user needs that single-platform agents cannot fulfill, such as finding the lowest prices across multiple platforms [6] Commercialization Challenges - The "Zhang Dama" app is still in the exploration phase for monetization, with insights from international markets suggesting potential subscription models for AI agents [6][7] - The company is focused on enhancing user value before pursuing broader industry and platform value [7] Technological Development - The app utilizes "cloud phone" technology, which presents various challenges in task execution and user interaction [7][8] - Building user trust is crucial, and the company plans to achieve this through consistent performance and industry trends [8] Collaborative Efforts - Zhidao Technology has signed a strategic partnership with Huawei to leverage each other's strengths in cloud services and marketing [8] - The company is committed to high investment in AI, with over 50% of its R&D budget allocated to this area [8]
9.26黄金突跌40美金横盘 多空大战
Sou Hu Cai Jing· 2025-09-26 07:22
Group 1 - Gold prices faced a significant drop of over $70, followed by a rebound that did not sustain, leading to a sudden decline of $40, indicating a period of high-level consolidation and a tug-of-war between bulls and bears [1][4] - The market is currently fluctuating within a $30 range, with a bearish trend as prices fell below $3740, suggesting ongoing adjustments [5] - Key support levels are identified at $3717 and $3684, while resistance levels are at $3761 and $3790, indicating potential trading opportunities for both long and short positions [6][9] Group 2 - Recent economic data from the U.S. showed unexpected results, particularly a significant upward revision of Q2 GDP, which contrasted with the previous quarter's negative growth, leading to a stronger dollar and downward pressure on gold [10] - The upcoming release of the U.S. PCE data for August is crucial as it directly impacts inflation and will test the Federal Reserve's decision-making regarding interest rate cuts [11] - The performance of the U.S. consumer confidence index is also anticipated, as it serves as an important indicator of economic health and may influence both the stock market and gold prices [11]
智能体,大厂的第二曲线
3 6 Ke· 2025-09-25 23:40
Core Insights - The rise of AI agents is transforming various scenarios, acting as AI assistants and automating processes without user awareness [1] - Major tech companies are competing to commercialize AI agents, focusing on practical applications rather than just concepts [1][2] - The Chinese enterprise AI agent application market is projected to exceed $27 billion by 2028, indicating significant growth potential [1] Group 1: Value of AI Agents - The true value of AI agents lies in their ability to execute tasks rather than just respond to queries [2][8] - AI agents are evolving from simple conversational models to tools that can deliver real business outcomes [2][8] - Companies like Tencent and Alibaba are developing frameworks and tools that enhance the practical capabilities of AI agents [4][6] Group 2: Market Dynamics - The competition among major players is shifting from dialogue capabilities to the execution and delivery of real-world tasks [8][9] - The deployment of AI agents is seen as a way to create "invisible teams" that can handle repetitive and standardized tasks [10][13] - The market is witnessing a trend where companies prefer to pay based on business outcomes rather than just functionalities, with 66% of Chinese enterprises favoring this model [19][21] Group 3: Commercialization and Business Models - The transition from buying functionalities to purchasing tasks signifies a shift in how AI agents are perceived and monetized [19][24] - Companies are focusing on creating a commercial ecosystem around AI agents, emphasizing the importance of task standardization and repeatability [21][22] - The ultimate goal for companies is to integrate AI agents into their revenue streams, making them a sustainable part of their business operations [23][24]
AI智能家庭(AI2H)研究报告(1)
Sou Hu Cai Jing· 2025-09-25 16:56
Core Insights - The report on AI Smart Home (AI2H) highlights the integration of artificial intelligence into home environments, emphasizing a shift from passive responses to proactive services, creating a dynamic intelligent ecosystem [1][7][8] - Major telecommunications operators in China and abroad are actively developing AI2H strategies, with domestic operators launching initiatives like "Mobile Love Home," "Beautiful Home," and "AI All-in-One," while international players like SKT and Deutsche Telekom are exploring AI home services [1][7][8] Group 1: AI Empowerment in Home Services - AI is transforming home services by enabling personalized and proactive experiences through intelligent agents, digital humans, and home robots [12][20] - Intelligent agents serve as the "smart brain" of the home, providing personalized entertainment and health management, thus enhancing the overall living experience [13][15] - Digital humans act as emotional companions, offering interaction and support, particularly for the elderly and children, thereby enriching family dynamics [16][17][20] Group 2: AI Smart Home Concept and Industry Practices - AI2H represents a new paradigm in home services, focusing on human-centered design and proactive service delivery across various life scenarios [20][21] - The industry faces challenges such as fragmented ecosystems and insufficient service depth, which AI2H aims to address by leveraging telecommunications' strengths in connectivity and service integration [21][22] Group 3: Key Elements of AI Smart Home - The AI2H framework consists of five core elements: business content, cloud platforms, intelligent agents, network capabilities, and user-facing AI terminals, all of which are essential for delivering a cohesive smart home experience [33] - The evolution of home broadband services is shifting towards enhancing existing user value through AI-driven lifestyle services, marking a significant transition in the telecommunications industry [32][33] Group 4: Future Outlook for AI Smart Home - The report anticipates that AI2H will drive significant growth in the telecommunications sector by extending value chains and enhancing user engagement through integrated smart home solutions [26][32] - As AI technologies continue to advance, the demand for customized and intelligent home services is expected to rise, prompting operators to innovate and adapt their offerings [32][33]
6G终端有了时间表,AI扮演什么角色?
第一财经· 2025-09-25 14:58
Core Viewpoint - Qualcomm is the first global tech company to provide a clear timeline for 6G pre-commercial terminal launch, expected in 2028, indicating its ambition beyond mobile chips and into AI integration across various devices [3][4]. Group 1: AI Integration in Chip Design - Qualcomm is focusing on integrating AI capabilities directly into chip design, enhancing the performance of NPU and GPU to address the challenges of AI in small devices [3][6]. - The latest Snapdragon 8 Gen 2 features a 20% performance increase in CPU, a 23% increase in GPU performance, and a 37% enhancement in NPU performance, laying the groundwork for advanced AI applications on devices [6][7]. Group 2: Future Applications and Market Predictions - Qualcomm predicts that robots and various wearable smart glasses will potentially match or exceed the scale of smartphone applications in the future, emphasizing the need for strong edge computing capabilities [9][10]. - The automotive sector is highlighted as a prime application for edge AI, necessitating local processing for safety and responsiveness [9][10]. Group 3: Evolution of Intelligent Agents - The shift from mobile-centric to intelligent agent-centric systems is anticipated, with intelligent agents expected to possess advanced contextual understanding and proactive problem-solving capabilities [10][11]. - Domestic smartphone manufacturers are actively developing intelligent agents, with various companies integrating AI capabilities into their operating systems to enhance user experience [12].