北京市科学技术委员会、中关村科技园区管理委员会等多部门联合印发《北京市区块链创新应用发展行 动计划(2025-2027年)》。《行动计划》中明确提出主要目标：到2027年，在自主可控区块链技术支撑国 家数字基础设施底座能力上实现显著提升。届时，将在区块链专用芯片、隐私保护等核心技术领域取得 PB级可信存储等10项以上突破性成果，在人工智能大模型等5个重点领域形成20个以上优秀应用案例， 初步建成国家级区块链枢纽节点。(央视新闻) ...

Core Insights - The meeting held by the Taihu Basin Management Bureau focused on the construction of a digital twin of Taihu and the work related to network information for 2025 [1][2] - The bureau acknowledged the positive outcomes achieved in 2024 regarding the top-level design of the digital twin, application of business systems, information infrastructure, and network security [1] Group 1 - The meeting emphasized the need to address weaknesses in business system applications, the role of models, and the application of new technologies [1][2] - The bureau aims to become a leader in the construction of digital twin watersheds, with high-quality progress in the digital twin of Taihu [2] - Key tasks for 2025 include accelerating preliminary work on the national digital twin watershed project, enhancing integrated monitoring systems, and promoting the application of business systems [2] Group 2 - The meeting outlined the importance of strengthening model technology research and exploring the application of artificial intelligence in modeling [2] - Network security measures must be prioritized, with strict responsibility and data management protocols in place during the construction of the digital twin [2] - Coordination among departments is crucial to ensure a unified approach to network information work and the successful implementation of tasks [2]

Core Viewpoint - The China Internet Society is initiating a collection of standardized application cases for "Artificial Intelligence + Government Affairs" to promote the orderly and standardized application of AI large models in the government sector by 2025 [1] Group 1 - Various regions and departments have been actively exploring the application of AI large models in government affairs, achieving preliminary results [1] - The collection of application cases will take place from April 29, 2025, to June 15, 2025 [1] - The initiative is guided by the Information Technology Development Bureau of the Central Cyberspace Administration of China [1]

中新社福州4月29日电 题：探馆数字中国建设峰会：大模型赋能千行百业 作者 叶秋云 AI智慧会议室、AI健康管家……于29日在福建福州启幕的第八届数字中国建设峰会上，生成式人工智 能应用组团亮相，人工智能大模型(简称"大模型")正加速赋能千行百业。 "漆器花瓶在历史上有哪些重要的用途？""漆器花瓶的制作工艺有哪些独特之处？"……在探一下"非遗 博物馆"展示的脱胎漆器作品《梅瓶》前，游客实地体验支付宝"探一下"功能。据蚂蚁集团工作人员周 师鸣介绍，这是支付宝基于大模型自主研发的AI应用。相当于给AI装了一双眼睛，游客通过自己的手 机摄像头去"扫一扫"，就可以了解到自己感兴趣的内容。"在亲子旅行的过程中，这个非常适合父母给 孩子做启蒙教育。" 受益于大模型的驱动，传统产业正逐渐焕发"新生"。总部位于厦门的美图公司，正加快从"修图神 器"向"生产力工具"的转变，自主研发聚焦视觉影像领域的生成式人工智能大模型。由中国联通(福建)工 业互联网研究院和中国联通研究院联合自主研发的纺织行业大模型全面接入DeepSeek大模型，并在永 荣锦江、长源纺织两大行业龙头企业实现落地应用。 随着大模型应用爆发式增长，专注于数据安全的 ...

要闻提示 NEWS REMIND 1. 传京东外卖上线前刘强东曾约美团王兴等人共进晚餐，前年已规划外卖业务 2.美的、格力隔空打架，财报都称自己去年是"家用空调第一名" 3. 保时捷或将在华停售电动汽车，CEO放话：不会把小米当对手，太便宜 4.传极越汽车「大概率」不会破产：集度董事会「已同意重组」 5. 腾讯、阿里、字节跳动抢购算力资源，DeepSeek导致算力需求激增 6.吉利重大人事调整！ 极氪系高管 安聪慧、姜军获关键任命 7.Shein美国市场"价格地震"：最高涨幅377% 8.印度将中国电子投资压股至10%，且要求"技术转让" 今日头条 HEADLINE NEWS 传京东外卖上线前刘强东曾约美团王兴等人共进晚餐，前年已规划外卖业务 4月27日晚间，国内家电行业两大巨头美的集团和格力电器先后发布了2024年度财报，却上演了一出耐人 寻味的"数据罗生门"。两家企业均引用奥维云网数据，却得出了截然不同的"行业第一"结论，引发市场热 议。 财报显示，美的集团2024年实现营业总收入4091亿元，同比增长9.5%，净利润385亿元，同比增长 14.3%。格力电器营业收入1892亿元，同比下降7.26%，但净 ...

兰考县仪封镇万亩高标准农田示范区的农田里，无人机在精准作业。图片由受访者供图 数字化浪潮正以前所未有的速度席卷全社会，在新的科技革命中，随着5G、AI、物联网等技术渗透乡村，乡 村振兴将不仅依赖政策扶持，更依托技术驱动的内生增长。 记者日前来到兰考，深入田间地头、村庄农户、产业车间，探寻"新原野"上发生的数字化故事。 在这里，5G信号与麦浪同频共振，区块链与泡桐木产生奇妙的化学反应，AI算法正在重写"面朝黄土背朝 天"的农耕叙事。他们带来的不仅是技术方案，更是一种全新的发展范式——用数字化的犁铧深耕希望的田 野。 数字化正在书写属于新时代的《齐民要术》，最终的目的是让农业成为有奔头的产业，让农民成为有吸引力 的职业，让农村成为安居乐业的美丽家园。 种田用上"大模型" 人工智能大模型是这两年最热的科技新词，很多行业因大模型而发生颠覆性改变。如今，在兰考这片因治沙 闻名的土地上，人工智能的算法已注入田间地头，千年农耕文明与最前沿的大模型技术完成了跨越时空的握 手。 记者来到兰考县仪封镇高标准农田示范区，在麦浪深处，同行的中国移动（河南）乡村振兴数字研究院项目 经理秦济远拿着手机，对着刚抽穗的麦田拍了张照，3秒后， ...

2025年第一季度，中铁工业管理费用同比下降16.24%，财务费用为负，费用管控持续取得较好的成 效。近年来，中铁工业大力实施费用管控，大幅压缩非生产经营性费用支出，2024年度，管理费用同比 下降5%，销售费用因加大市场拓展力度而同比增长2.55%，但增幅较上年实现明显下降。此外，在应收 账款压降方面也取得了一定效果，截至2025年第一季度末，中铁工业应收账款较上年末下降6.33%。 根据中铁工业发布的投资者关系活动记录表，在核心竞争力打造方面，公司将持续提升经营、研发、数 智化、供应链和组织运营五项核心竞争力，巩固和提升行业领先地位。在经营上，通过加大市场开拓力 度，保持传统业务的市占率。特别是要持续强化研发端能力，未来一个时期，公司将以IPD为牵引，推 进研发管理体系变革，持续增加科研投入，特别是在盾构/TBM上，在加强更新迭代的基础上，加大核 心零部件研发制造力度，推进"整机+部件"的商业模式转型，并不断适应和引领客户需求，拓展新领 域，持续保持产品在国内外的竞争力；大力推进数字化转型，加快工厂产线智能化升级，推进建设工业 （002265）制造人工智能大模型平台，打造更具智能化、绿色化的设备和产品。( ...

Core Insights - The application of AI large model technology in the financial sector is experiencing explosive growth, reshaping various business areas from investment decision-making to customer service [1][2] - The rise of domestic large models, such as DeepSeek, is significantly lowering application barriers and supporting the intelligent transformation of the financial industry [1][2] - Financial institutions are increasingly recognizing the need to balance efficiency and security in the face of rapid technological advancements [1][7] Group 1: AI Model Deployment and Impact - Several commercial banks have successfully deployed the DeepSeek model within their internal systems, accelerating the digital transformation in the securities and fund sectors [2] - The introduction of AI large models is changing the competitive landscape of the financial industry, with institutions like ICBC achieving breakthroughs in large model applications across over 20 core business areas [2][4] - AI technology has drastically improved operational efficiency, such as reducing customer consultation response times by 79% in financial settlement [3] Group 2: Challenges and Risks - The rapid advancement of AI technology raises concerns about data security and the potential for harmful outputs from models, necessitating a focus on governance and risk management [7][9] - Financial regulators are urging banks to invest in self-research and development of large models to mitigate risks associated with sensitive financial data [7] - The industry consensus is that the future competition will hinge on the speed of converting AI capabilities into actionable business insights [6][7] Group 3: AI in Investment Advisory - The emergence of AI-driven investment advisory tools is reshaping the investment advisory landscape, with a trend towards a hybrid model of AI and human advisors [9] - While AI can enhance data analysis and market insights, it currently cannot fully replace human advisors due to the need for understanding client needs and building trust [9] - The integration of AI technology into investment advisory services is seen as a key competitive factor for securities firms moving forward [9]

Core Insights - The collaboration between the China Cultural Relics Exchange Center and Baidu's Wenxin large model aims to enhance the model's expertise in the cultural heritage sector, launching the first cultural heritage AI assistant, "Wen Yao Yao" [1][3] Group 1: Collaboration and Objectives - The partnership focuses on leveraging AI technology to make cultural heritage knowledge more accessible and engaging for the public [3] - The "Wen Yao Yao" AI assistant will provide educational content related to domestic and international museum artifacts, exhibitions, and digital applications [3][4] - The China Cultural Relics Exchange Center values the Wenxin model's extensive knowledge storage and multi-modal capabilities to facilitate a deeper understanding of cultural relics and their historical significance [3] Group 2: Technological Integration and Platforms - The collaboration will explore the application of AI large model technology in the cultural heritage field, creating diverse, digital, and intelligent content scenarios [4] - The "Wen Yao Yao" assistant is already available on multiple platforms, including Baidu APP, Baidu Search, and Wen Xiaoyan APP, allowing users to easily access cultural heritage information [4]

Group 1 - The eighth Digital China Construction Summit's e-Government sub-forum is scheduled for April 29, 2025, at 14:30 in Fuzhou, Fujian Province [1] - The theme of this year's e-Government sub-forum is "'Fingertip' Burden Reduction through Digital Empowerment" [1] - The forum will invite relevant ministries, local governments, well-known entrepreneurs, experts, scholars, and grassroots representatives to share achievements in e-Government construction [1] Group 2 - The event aims to safely and steadily promote the application of large AI models in the government sector [1] - The initiative is designed to assist grassroots levels in reducing burdens and increasing efficiency [1]