本报讯（全媒体记者蒋杰 通讯员阎啸 许兰宇）同名同姓，却非同一人——一场跨度二十余年的借贷 纠纷，让无辜者背负失信之名，真正的借款人却长期隐匿。近日，浙江省宁波市奉化区检察院借用大数 据模型，精准履行民事检察监督职责，不仅成功纠正了一起错判案件，还帮助78岁的胡某找到了真实债 务人，确认了还款方案，切实维护了当事人合法权益。 2024年2月，胡某手持借条，将名为"张某林"的借款人诉至法院。由于借条信息有限，胡某年事已高、 记忆模糊，她错误起诉了同名但与之毫无关联的张某林A。法院依据现有证据作出缺席判决，并在执行 中将张某林A纳入失信名单，冻结其账户。直到2024年6月，张某林A本人提出申诉，这场因姓名巧合导 致的"乌龙"才浮出水面：债务人实为与其同名的另一人。 胡某此时才发现自己错误起诉导致法院出现"同名误判"情况，年已七旬的她实在无力处理其中的法律程 序问题。山穷水尽之时，她通过奉化区检察院在其所在街道设置的联络处得知了检察监督这一方法。 2025年4月，胡某向奉化区检察院申请监督。受理该案后，承办检察官迅速开展调查核实，理清了案件 原委与当事人困境。原来，二十多年前，胡某轻信自称做土方生意的张某林，为其筹 ...

在北京市人民检察院的一间办公室里，一台以国产算力设备为支撑的人工智能一体机正高速运转。大屏 幕上，成千上万的信息数据如潮水般流过，由北京市检察机关拥有自主知识产权的"3+N"控告申诉大数 据模型矩阵系统逐一"思考"、解析。 不到一分钟，系统就从纷繁复杂的信息中捕捉到了存在潜在风险的社会矛盾纠纷、可以导入案件程序办 理的线索信息，并对执法司法工作情况实时开展反向审视——这不是科幻片场景，而是北京市检察机关 日常工作中的真实一幕。 近几年，北京检察控告申诉部门一直在思索如何将大数据模型这种新质生产力与新时代"枫桥经验"相结 合，打造出"数智枫桥·数治北京"这一北京样板。 如今，这种"大数据模型"已融入到北京检察机关的日常工作之中，形成了"枫控智检""索迹智见""法脉 智鉴"三大模型领衔的"3+N"数智检察模型矩阵，每天有数以十万计的涉法涉诉数据被智能处理。检察 官成为了"数据指挥官"，从"办一案"走向"治一片"，从"被动应对"走向"提前预防"。"科技赋能，就是为 平安北京赋能。检察官的办案思维与最新的人工智能技术相结合，提前预警预防矛盾纠纷，就是我们最 大的成效。"北京市人民检察院党组成员、副检察长祁治国说。 大 ...

（原标题：领航金融未来 擘画时代新篇） 中国金融业正站在历史交汇的时间点。 案例征集 树立行业标杆 为系统总结2025年金融业的创新成果与实践经验，发掘在复杂环境下仍能保持战略定力、实现高质量发 展的金融机构典范，本次领航企业案例开启广泛征集，并秉持严谨标准与多元视角，展开全流程、多方 位评估，寄望于在促进行业交流与共同进步的同时，集众家所长，以点滴实践的微光，为"十五五" 金 融强国建设之路增光添彩。 前瞻展望 以金融高质量发展服务中国式现代化 领航金融机构仍然追求卓越。2025年，面对国际贸易竞争加剧、国内息差持续收窄等复杂经营压力，领 航金融机构拓宽服务半径，增强差异化竞争能力，在有限的空间中展现出无限的发展潜力。 在技术创新层面，以人工智能、大数据模型等为典型代表的金融数字化应用不断深化，为金融机构降低 运营成本、提升了服务质效打下了坚固的技术底座。丰富的金融功能无缝嵌入生产和生活场景，金融服 务线上线下全渠道协同更加流畅自如。 在服务国家战略方面，金融机构聚焦乡村振兴、区域协调发展等重大部署，农村数字普惠金融、产业扶 持贷款、基础设施建设融资等创新实践持续落地，因地制宜开发特色产品，一企一策优化服务 ...

Core Viewpoint - The article discusses the modernization and upgrading of agricultural practices in China, highlighting the integration of technology and infrastructure improvements to enhance productivity and resilience against climate challenges. Group 1: Technological Advancements - Farmers are adopting advanced equipment such as precision seeders, harvesters, and drones to improve efficiency and productivity [1][8] - Digital production methods are being implemented, leading to higher yields and better management of agricultural activities [3][6] - The use of data platforms allows farmers to monitor their fields in real-time, significantly improving oversight and decision-making [6] Group 2: Infrastructure Improvements - China plans to build and renovate 80 million acres of high-standard farmland this year, enhancing facilities and ecological conditions to ensure stable and high yields [13] - The construction of irrigation and drainage systems, such as interconnected ditches, is crucial for managing water resources effectively during droughts and floods [19][21] - The modernization of large and medium-sized irrigation areas and water conservancy projects is a focus to strengthen food security [23] Group 3: Agricultural Data and AI Integration - Remote sensing satellites and AI models are being utilized to monitor crop growth and optimize agricultural practices, contributing to increased yields and reduced pest issues [27][29][31] - The contribution rate of agricultural technology progress in China has reached 63.2%, with over 75% mechanization in farming operations [33] Group 4: Policy and Financial Support - The government is providing over 2,000 yuan per acre for high-standard farmland, with a focus on tailored solutions for different regions [36] - More than 1.1 million social service organizations are assisting farmers with various agricultural tasks, ensuring that smallholders can access advanced technologies [36][38] Group 5: Future Goals - Over 100 million acres of high-standard farmland have been established, with a target of 135 million acres by 2030 and complete upgrades of permanent basic farmland by 2035 [38]

Core Insights - The article highlights the strong pulse of technological innovation in the Guangdong-Hong Kong-Macao Greater Bay Area, showcasing the integration of finance and technology as a core competitive arena [2] - It emphasizes the shift in financial services from traditional lending models to a more ecosystem-oriented approach that supports the entire lifecycle of tech enterprises [2][7] Group 1: Financial Services Transformation - The traditional financial model, which relies heavily on collateral and financial statements, creates a significant gap for high-tech startups, leading to challenges in securing financing [3] - 恒丰银行 (Hengfeng Bank) is addressing this gap by forming specialized teams that understand the industry, policies, and finance, and by offering customized financing solutions like "factory mortgage loans" tailored to the growth cycles of tech companies [5][7] - The bank has successfully provided over 1 billion yuan in loans to 24 small and micro enterprises in the增城数创中心 (Zengcheng Digital Innovation Center), with 50% of these companies achieving their first financing breakthrough [7] Group 2: Support for High-Tech Enterprises - Guangdong 蓝科车仆实业有限公司 (Blue Science Carpu Industrial Co., Ltd.) benefited from a 3.35 million yuan factory mortgage loan with a 20-year term, which aligned with its long-term development plans [6] - 广州玛太电子有限公司 (Guangzhou Matai Electronics Co., Ltd.) received a 7.66 million yuan factory mortgage loan along with payroll services, demonstrating a comprehensive financial support model [6] - The bank's innovative risk assessment system moves away from traditional collateral models, focusing instead on technology barriers, market potential, and team capabilities [7][15] Group 3: Comprehensive Financial Support in Shenzhen - 恒丰银行's Shenzhen branch has provided 5.6 billion yuan in loans to tech enterprises since its establishment, positioning itself as a key player in the regional tech finance ecosystem [8][11] - The partnership with 大族激光科技产业集团股份有限公司 (Han's Laser Technology Industry Group Co., Ltd.) exemplifies a strategic collaboration where financial services extend beyond mere funding to include industry insights and support for supply chain stability [11][12] - The bank's services encompass a full range of financial needs, from working capital to long-term funding strategies, ensuring a stable supply chain for its clients [12] Group 4: Ecosystem Collaboration - The development of a robust ecosystem for tech finance relies on collaboration among banks, government, and enterprises, with Shenzhen's government providing risk compensation funds to enhance banks' confidence in lending to tech firms [13] - In Guangzhou, 恒丰银行 collaborates with innovation parks to improve service efficiency and reduce costs, addressing information asymmetry between banks and enterprises [14] - The bank employs advanced technologies like AI and big data to enhance risk management and streamline the evaluation process for tech enterprises [15] Group 5: Future Directions - 恒丰银行 aims to deepen its focus on supporting enterprises with advanced technology and innovation capabilities, particularly in critical areas of national technological innovation [16] - The bank is committed to enhancing its role in supporting industrial innovation and contributing to high-quality development in the financial sector [16][17]

Group 1 - The core viewpoint of the articles highlights the significant achievements in preventing telecom network fraud in Guangxi since the beginning of the 14th Five-Year Plan, with a notable reduction in case-related clues from 51,459 in 2022 to 1,197 in the first 11 months of 2025, representing a year-on-year decrease of 47.7% [1][2] Group 2 - The integrated anti-fraud work system in Guangxi has been established, breaking down internal barriers within telecom companies and ensuring a comprehensive and high-efficiency execution of anti-fraud measures [1] - A special governance work plan for preventing telecom network fraud has been developed, focusing on eight key areas including business management and technical protection, with a negative list of work introduced to clarify illegal activities and accountability [1] Group 3 - Technological empowerment has been emphasized, with the establishment of an intelligent countermeasure system that utilizes AI and big data, resulting in the processing of nearly 11.44 million fraudulent domain names with a success rate exceeding 97% [2] - A collaborative governance system has been set up between police and enterprises, allowing for real-time sharing of suspicious number clues, leading to the identification and handling of 14,994 abnormal number cards [2] Group 4 - Continuous efforts in the "card-cutting" campaign have been made to combat illegal phone card transactions, with a focus on key areas of telecom-related criminal activities, resulting in a 37.2% year-on-year decrease in telecom network fraud cases and a 31.3% reduction in financial losses, recovering nearly 300 million yuan for the public [2]

Group 1 - The core viewpoint of the articles highlights the achievements and advancements of Zhongyou Consumer Finance in its tenth anniversary, showcasing its commitment to inclusive finance and technological innovation [1][2] Group 2 - Since 2020, Zhongyou Consumer Finance has provided specialized services such as interest fee reductions, extensions, and credit support plans to 238,500 customers, serving a total of 18.57 million key customer groups by October 2025, with a loan scale exceeding 1 trillion yuan [1] - The company has developed a comprehensive intelligent customer service assistant system, achieving a customer intent recognition accuracy rate of 98% and enhancing customer satisfaction [1] - The intelligent digital assistant "Youxiaobao" offers a human-like service experience, providing 24/7 support and quick problem resolution, significantly improving customer service quality [1] - Zhongyou Consumer Finance has established a four-dimensional intelligent fraud prevention system that covers the entire loan process, successfully intercepting over one million risky transactions annually and recovering fraud losses amounting to hundreds of millions [1] Group 3 - The company is upgrading its marketing model towards a "data-driven + intelligent decision-making + closed-loop iteration" approach, utilizing big data models to support large-scale marketing activities effectively [2] - It has developed an innovative consumer finance process canvas to guide customers towards comprehensive financial services, addressing customer interaction issues and enhancing customer loyalty and value [2] - As of October 2025, Zhongyou Consumer Finance holds 106 authorized patents and 135 software copyrights, with over 90% of its application systems being self-developed, processing millions of loan approvals daily [2]

Core Viewpoint - The 21st Summer Annual Meeting of the Yabuli Entrepreneur Forum in 2025 focused on the theme "Forging Ahead Steadily - Corporate Development in the New Global Context" [1] Industry Insights - Chinese biopharmaceutical companies have established high-level technological barriers, with some leaders in the industry being recognized for their R&D capabilities globally [3] - The market capitalization of the innovative drug industry has seen significant growth this year, with some leading companies doubling their market value [3] - The investment community is increasingly focusing on the value of the biopharmaceutical industry, positively impacting the healthy development of the industry ecosystem [3] Challenges - The industry faces challenges as innovators approach the critical 0 to 1 stage, where opportunity costs increase, necessitating reasonable profit support for innovation [3] - The optimization of the healthcare system is crucial; successful reforms could elevate biopharmaceuticals to a significant sector within the national economy [3] Future Development - The core issue for future industry development lies in overcoming key technologies, including AI computing power, special algorithms, big data modeling capabilities, and original research [3] - A lack of original research could hinder progress, especially in the face of potential time constraints [3]

Core Viewpoint - The rapid development of internet finance has transformed traditional financial services, making them more accessible, but it has also increased the risk of financial fraud, necessitating heightened vigilance from users and proactive measures from financial platforms [1][2][5]. Group 1: Fraudulent Activities - Fraudsters are using "00" prefixed phone numbers to impersonate official customer service representatives, posing significant threats to user financial security [1][2]. - A typical case involved a user receiving a call from a fraudster claiming to be from "还呗," who used personal information to create a sense of urgency regarding account issues, demonstrating the tactics of precision disguise and panic creation [2][3]. - The ultimate goal of these scams is to induce users to transfer funds or provide sensitive information, often through deceptive links or requests for verification codes [3][4]. Group 2: User Awareness and Protection - Users are encouraged to verify any unsolicited calls or messages through official channels, such as the official app or website, to avoid falling victim to scams [3][4]. - Financial platforms like "还呗" are taking steps to enhance consumer protection by improving data security measures and actively monitoring for suspicious activities [4][5]. - Continuous education on fraud prevention is being promoted by financial service platforms through various channels, aiming to increase user awareness and encourage reporting of suspicious activities [4][5]. Group 3: Industry Responsibility - The fight against financial fraud is a collective responsibility within the financial industry, requiring collaboration among various institutions to develop a comprehensive defense system [5][6]. - The industry is investing in technology and knowledge dissemination to build a robust financial fraud prevention framework, emphasizing the importance of user vigilance alongside institutional efforts [5][6]. - Financial fraud prevention is recognized as an ongoing battle, necessitating constant adaptation and user education to effectively combat evolving fraudulent tactics [6].

Group 1 - The core viewpoint of the article highlights that Maike Bio (300463.SZ) is leveraging AI technology to innovate in the medical field, particularly through its "Smart Laboratory" platform [2] - The company has achieved full-process automation in blood collection management, sample processing, and result interpretation, creating a closed-loop system of "smart testing - smart management - smart operation" [2] - Maike Bio is currently applying AI and big data models to various projects, including urine, blood cell, and pathology tests, and is exploring broader applications of AI in the medical sector [2]