"大模型终端化部署，拓展端侧计算万亿级市场新空间"是本届大会发布的全球计算创新成就之一。"笑 熵01"正是博极生命科技通过大模型终端化部署打造的产品。这一机器人体形小巧但充满"智慧"，具有 情绪识别、交流陪伴等功能。"传统低算力平台难以支持机器人进行快速交互，但我们现在采用国产华 为昇腾架构，应答速度更快、成本更低，产品和用户数据也更安全可控。"冯武介绍。 老龄化趋势下，机器人一方面可应用于家庭，另一方面可以应用在医疗尤其是康复领域。 新华社长沙11月22日电（记者常竣斐）在算力快速发展的背景下，众多机器人产品、大模型技术正加速 布局，有望帮助解决更多康养、医疗问题。 "机器人的滑轮车底座就是一个本地化算力盒子，不仅能用于机器人，还能接入其他智能设备，可以说 是属于家庭的微型智算中心。"博极生命科技有限公司总经理冯武说。在11月20日至21日于湖南长沙举 办的2025世界计算大会上，该公司发布了最新情绪陪伴机器人"笑熵01"。 "算力的发展，有望让各种机器人深入生活场景。"湖南超能机器人技术有限公司董事长肖湘江说，"从 本届大会可以感受到，具身智能等新技术进入越来越多新场景，公众参与度也在提高。" "自兴AI ...

Core Insights - The event in Chengdu marked the signing of the first batch of sub-funds totaling approximately 6.5 billion yuan, indicating a significant step from policy planning to actual operation of the Chengdu Future Industry Fund cluster [1][3] - The "Jiaozi Capital" brand was officially launched, which is part of the Chengdu Jiaozi Financial Holding Group, managing over 70 funds with a total scale exceeding 170 billion yuan [1][5] Fund and Investment Details - The first batch of sub-funds includes partnerships with six major investment institutions, officially starting with a total scale of 6.5 billion yuan [3] - The funds will focus on differentiated investment strategies in sectors such as artificial intelligence, quantum technology, advanced semiconductors, life health, and new energy [3][5] - Jiaozi Capital plans to create a "3+1" fund matrix to enhance urban development strategies, focusing on financial capital operations, private equity direct investment, and government fund management [1][5] Strategic Goals and Collaborations - The Chengdu Future Industry Fund aims to support the city's modernization industrial system, which includes 9+9+10 sectors, and will operate under a competitive selection mechanism for sub-fund selection [3][6] - The establishment of the "Invest Chengdu" Future Industry Investment Alliance aims to connect various resources to accelerate the industrial chain and provide comprehensive services for future industry enterprises [6]

Core Insights - The Chengdu Future Industry Fund has successfully signed its first batch of sub-funds totaling approximately 6.5 billion yuan, marking a transition from policy planning to actual operations in the establishment of a trillion-yuan future industry fund cluster in Chengdu [1][2]. Group 1: Fund and Investment Details - The first batch of sub-funds will focus on key areas such as artificial intelligence, quantum technology, advanced semiconductors, life health, and new energy, aiming to drive breakthroughs in cutting-edge technologies [2]. - The Chengdu Future Industry Fund has partnered with six institutions, including Dinghui Investment and CICC Capital, to facilitate this investment [2]. - The fund has already signed agreements with four hard-tech companies, including Yongxin Medical and Zhongdian Jinxin, with an investment amount of approximately 320 million yuan, covering sectors like intelligent networking and advanced packaging [2]. Group 2: Strategic Framework and Future Plans - Chengdu is accelerating the construction of a modern industrial system characterized by a "9+9+10" framework and is promoting 16 key industrial chains [2]. - The "Jiaozi Capital" brand has been officially launched, with over 70 funds managed and a total scale exceeding 170 billion yuan, focusing on financial capital operations, private equity direct investment, and government fund management [3]. - The strategic layout includes three main funds: "Jiaozi Future," "Jiaozi Manyuan," and "Jiaozi AIC," along with a nurturing business fund "Jiaozi Mergers," forming a comprehensive fund matrix to support urban development strategies [3]. Group 3: Ecosystem Development - The event also launched a key industrial chain opportunity list covering integrated circuits, biomedicine, AI, humanoid robots, and intelligent connected vehicles, linking over 100 hard-tech companies [4]. - The "Invest Chengdu" Future Industry Investment Alliance was initiated to aggregate resources from government, research institutions, enterprises, and capital, facilitating collaboration across the industrial chain [4]. - Discussions during the event focused on investment logic in cell gene therapy and the "fund + park" ecological cultivation model, aiming to create a robust framework for future industry development [4].

Core Insights - The article highlights the emergence of "AI Super Customer Service" by Ping An, showcasing a shift towards AI that not only understands and expresses but also plans and executes tasks, marking 2025 as the "Year of Intelligent Agents" [2][3] - Ping An's AI strategy focuses on practical applications in finance, healthcare, and elderly care, aiming to provide quick and effective solutions rather than just information exchange [3][4] Group 1: AI Service Matrix - Ping An has introduced a comprehensive AI service matrix, including AI Super Customer Service, AI Family Doctor, and AI Elderly Care Manager, to enhance user experience and service efficiency [2][4] - The transition from a "one-stop service platform" to an "AI concierge experience" reflects a paradigm shift where AI evolves from a passive responder to an active problem-solver [5][6] Group 2: Technological Advancements - The article discusses three foundational technological transformations enabling this shift: expansion of boundaries, intelligent leaps, and role redefinition of AI as a responsible partner rather than just a tool [5][6] - Ping An has digitized over 500 online and offline services, allowing the AI to understand, match, schedule, and execute tasks effectively [6][11] Group 3: Human-Machine Collaboration - In critical sectors like finance and healthcare, Ping An emphasizes a "human-machine collaboration" model, where AI assists in standard tasks while human experts retain decision-making authority [9][10] - The AI Family Doctor system exemplifies this collaboration, efficiently triaging patients and connecting them with specialists when necessary [10][11] Group 4: Productivity Transformation - The integration of AI is transforming productivity within Ping An, with a significant portion of customer service tasks now handled by AI, leading to cost optimization and improved service standards [13][14] - This shift is prompting a re-evaluation of organizational structures, moving from a reliance on human labor to leveraging computational power for enhanced efficiency [14][15] Group 5: Accessibility of Services - Ping An's AI initiatives aim to democratize access to high-quality financial, healthcare, and elderly care services for its 250 million customers, addressing the issue of professional scarcity [15]

Core Viewpoint - The successful clinical application of the first domestic Boron Neutron Capture Therapy (BNCT) device in Dongguan marks a significant advancement in nuclear medicine, driven by the efforts of Chen Hesheng and his team at the China Spallation Neutron Source [1][6] Group 1: Project Development and Achievements - The BNCT project, derived from the core technology of the China Spallation Neutron Source, has completed its first full-process treatment for a recurrent nasopharyngeal cancer patient [1] - The China Spallation Neutron Source is recognized as the first in China and the fourth in the world, serving as a "super microscope" for exploring the microscopic world [1][2] - The project has received significant funding, with over 1 billion yuan invested by Guangdong and Hong Kong to enhance its capabilities, increasing the number of experimental terminals from 3 to 11 [3][6] Group 2: Technical Innovations and Applications - BNCT utilizes nuclear reactions between neutrons and boron elements in tumors to destroy cancer cells, representing a targeted, dual approach to treatment [4][5] - The development of high-flux, miniaturized neutron sources through the China Spallation Neutron Source has addressed challenges associated with traditional nuclear reactors, making BNCT more accessible [5][6] - The RFQ-BNCT system, developed with independent intellectual property rights, integrates key technologies for precise positioning and controlled dosage, enhancing treatment efficiency [6] Group 3: Future Prospects and Expansion - The second phase of the China Spallation Neutron Source project has been approved, aiming to increase neutron spectrometers and experimental terminals, with completion expected by fall 2029 [7] - There is a vision to establish a cluster of large scientific devices in the Guangdong-Hong Kong-Macao Greater Bay Area, promoting deeper technological collaboration [7]

Core Viewpoint - The establishment of the Chengdu Future Industry Fund's first batch of sub-funds, totaling approximately 6.5 billion yuan, marks a significant transition from policy planning to actual operation in the city's future industry investment strategy [1][2][3]. Group 1: Fund Launch and Investment Strategy - The first batch of sub-funds, amounting to 6.5 billion yuan, was signed with six major investment institutions, indicating a strong commitment to support key sectors such as artificial intelligence, quantum technology, advanced semiconductors, life sciences, and new energy [2][3]. - The Chengdu Future Industry Fund aims to enhance the city's modern industrial system, which consists of 9+9+10 sectors, by leveraging specialized capital to drive high-quality urban development [2][4]. Group 2: Capital Management and Fund Structure - Chengdu Jiaozi Financial Holdings Group has launched a "3+1" capital blueprint through its subsidiary, Jiaozi Capital, which includes three main funds focused on future industries, park industrial upgrades, and policy innovation [4][5]. - Jiaozi Capital has managed over 70 funds with a total scale exceeding 170 billion yuan, emphasizing its role in financial capital operations and private equity investments [4][6]. Group 3: Ecosystem Development and Collaboration - The event also introduced a project opportunity list for key industrial chains, facilitating precise connections between capital and industry, covering sectors like integrated circuits, biomedicine, and intelligent connected vehicles [7][8]. - The "Invest in Chengdu" Future Industry Investment Alliance was established to integrate various resources, aiming to break down barriers in the industrial chain and accelerate the clustering of industries [7][8]. Group 4: Future Directions and Goals - The Chengdu Future Industry Fund's strategy is to continuously attract global capital to support the development of strategic emerging industries and future industries in the city [3][6]. - Future initiatives will focus on enhancing the operational efficiency of funds and fostering a collaborative ecosystem to position Chengdu as a leading hub for future industry innovation [8].

Core Points - Hangzhou Fanmo Technology Co., Ltd. has successfully passed the ISO 27799 health information security management system certification audit, marking its capability in health information security management has reached international professional standards [1][2] - ISO 27799 focuses on the confidentiality, integrity, and availability of health data, imposing strict requirements on the security management of health information throughout its lifecycle [1][2] - The certification audit was conducted by a team of experts from an authoritative organization, covering core business scenarios such as health consulting, medical research data management, and health service platform operations [1][2] Company Developments - Fanmo Technology has previously obtained ISO 27001 information security management system certification and has established a mature PDCA cycle management framework [2] - The company has upgraded its security assurance system by implementing a health data classification mechanism and employing AES-256 full-link encryption for sensitive information [2] - A zero-trust architecture has been established to manage dynamic permissions for healthcare personnel, patients, and third-party partners, ensuring "least privilege access" [2] Market Impact - The acquisition of ISO 27799 certification enhances Fanmo Technology's market competitiveness in health consulting and digital health solutions, providing a trust endorsement for expanding medical health ecosystem collaborations [3] - The company aims to leverage the ISO 27799 certification as an opportunity to deepen security technology innovation and improve information security capabilities in the digital transformation of the healthcare industry [3]

迈锐迪成立于2024年12月12日，注册资本为113.37万元，是一家聚焦肿瘤与神经领域的创新型企业。公 司由四川大学微流控技术团队、四川大学华西医院核医学科专家团队等联合发起设立，公司旨在突破现 有技术瓶颈，开创微流控技术在核医药领域的应用。 天眼查显示，迈锐迪实际控制人为张川，总持股比例为43.86%，表决权为88.21%。目前，张川担任公 司董事长、经理。 瑞财经 刘治颖 近日，四川迈锐迪医疗科技有限公司（以下简称"迈锐迪"）宣布完成数千万元天使轮融 资。本轮融资主要由省科创投院士基金、西部成果转化中心、咸阳财金、国生创新、迈锐可联合投资。 本轮融资资金将主要用于精准可控高负载核药项目开发及放射性药物中试平台建设，依托微流控技术赋 能核药产业转化。 ...

Core Insights - The World Health Organization (WHO) warns about the rapid adoption of artificial intelligence (AI) in healthcare, highlighting significant gaps in legal and ethical safeguards [1][2] Group 1: AI Adoption in Healthcare - Nearly all countries recognize the potential of AI in diagnosis, disease monitoring, and personalized medicine [1] - 32 out of 50 surveyed European countries have adopted AI-assisted diagnostics, and half have introduced chatbots for patient support [1] - Over half of the countries have identified priority application areas for AI in healthcare, driven by the need to improve patient care quality, alleviate workforce pressure, and enhance efficiency and productivity [1] Group 2: Challenges and Barriers - 86% of the surveyed countries view "legal uncertainty" as the primary barrier to AI application in healthcare, while 78% cite "insufficient funding" as a major issue [1] - Only 25% of the countries provide dedicated funding for healthcare AI, and less than 8% have established "responsibility standards" for AI-related errors or harm [1] Group 3: Recommendations for Policy and Strategy - The report emphasizes the need for countries to develop national strategies for healthcare AI that align with public health goals [2] - It calls for investments in capacity building, strengthening legal and ethical safeguards, and improving cross-border data governance [2]

编辑丨王多鱼 排版丨水成文 空间量化是大多数计算病理学任务中的关键步骤，从引导病理学家关注临床感兴趣的区域到发现新型生物标志物背后的组织表型。为了规避人工标注的需求，现 代计算病理学方法更倾向于采用多示例学习方法，这些方法能够准确预测整张切片图像的标签，但这会以丧失空间感知能力为代价。 2025 年 11 月 19 日，西安交通大学 李辰 教授、 龚铁梁 副教授联合英国 剑桥大学的研究人员 （ 高泽宇 博士为论文第一作者 ） ， 在 Nature 子刊 Nature Cancer 上发表了题为： SMMILe enables accurate spatial quantification in digital pathology using multiple-instance learning 的研究论文。 该研究开发了全球首个可实现大规模肿瘤筛查及细粒度量化诊断的 AI 病理模型—— SMMILe ，SMMILe 能够在仅使用简化"病人级诊断标签"的情况下，实现对 全玻片病灶进行精确空间量化，打破了传统弱监督算法"重分类、轻定位"的局限，在无需昂贵人工标注的条件下，能够像绘制地图一样，自动推断出肿瘤在组织 ...