本次沙龙活动的成功举办，不仅为 AI行业的从业者提供了一个交流与学习的平台，也为未可知 人工智能研究院与北大纵横在未来的合作奠定了坚实的基础。 双方表示，将继续携手，共同探 索AI技术在科学研究与产业创新中的更多可能性，助力新质生产力的发展与提升。 未可知人工智能研究院作为国内领先的 AI研究机构，始终致力于推动人工智能技术的创新与应 用。 未来，我们将继续举办更多类似的行业交流活动，与各界同仁共同探索AI技术的无限可 能，为推动我国数字经济的高质量发展贡献更多力量。 近日， 未可知人工智能研究院与北大纵横联合举办了一场以"AI for Science与新质生产 力"为主题的行业沙龙活动。 本次活动吸引了众多来自不同领域的专家学者、企业高管以及行 业从业者，共同探讨人工智能技术在科学研究与产业创新中的前沿应用与发展前景。 活动伊始， 未可知人工智能研究院副院长张孜铭先生发表了精彩的开场致辞 。张院长凭借其 深厚的学术背景和丰富的行业经验，深入浅出地阐述了人工智能与科学研究深度融合的必然性 与重要性。 他指出， AI for Science作为一种全新的科研范式，正推动着从生物医药、材料科学到能源领 域等多个学 ...

Group 1 - The core viewpoint of the article emphasizes the collaboration between the Unknown AI Research Institute and Central China Normal University to explore the application and development of artificial intelligence in the education sector, fostering academic exchange and innovation [1][9]. - The AI-themed lecture introduced fundamental principles, development history, and future trends of artificial intelligence, showcasing its extensive applications in education, such as intelligent tutoring systems and personalized learning path design [7][9]. - The event received high praise from students and faculty, who expressed a deeper understanding of artificial intelligence and its transformative impact on education, sparking interest in further research in this field [9][11]. Group 2 - The Central China Normal University’s Undergraduate Admissions Office is actively exploring pathways for training student assistants, aiming to enhance their overall quality and professional capabilities through training camps [1][5]. - The training session focused on news writing techniques, emphasizing the importance of adhering to writing norms and enhancing the dissemination power of news, which is crucial for the university's reputation and social influence [3][5]. - The objectives of the student assistant training camp align with the AI lecture's goals, both aimed at improving the comprehensive quality and professional skills of student assistants, thereby expanding their growth paths [11].

5月9日晚，杭州市科技交流馆化身科技实验室，在数字光影的交织中， 2025"青科之夜"第二场"武林会盟" 如期而至，吸引了近70位青年科 技工作者参加。活动聚焦"AI职场应用·智能体探索"，特邀 未可知人工智能研究院讲师吴小楠 担任主讲，为青年科技工作者解构AI智能体的底 层逻辑与应用场景。 活动现场，吴老师围绕"了解人工智能技术与应用发展、探秘科技工作场景下的AI智能体、打造属于你的科技型AI智能体"三大目标，巧妙运用 动态数据可视化演示，将复杂的AI智能体的技术架构转化为直观可感的"数字生命体"。 沉浸式互动体验环节中，青年科技工作者借助智能终端与AI智能体展开实时对话，模拟市场调研、方案策划等真实职场情景。这种虚实融合的 学习模式，打破了传统培训模式的边界，在实践过程中助力青年科技工作者掌握智能体技术，实现从工具使用者变为生态构建者、从局部优化 迈向全局协同、从技术追随走向范式创新的"三个跨越"，更真切地感受AI带来的生产力变革。 AI战略咨询与培训合作联系微信：duyuaigc 【风险警示】 本公众号所有文章内容仅用于信息分享，不对任何经营与投资行为进行推广与背书，请读 者严格遵守所在地区法律法规，不 ...

Core Viewpoint - The AI-themed advanced training course organized by the Unknown AI Research Institute and Shanghai Electric focused on cutting-edge AI technologies and their industrial applications, aiming to equip the management and technical staff of Shanghai Electric with in-depth AI knowledge to seize digital transformation opportunities [1][20]. Group 1: AI Training Course Overview - The training course was successfully held in Shanghai, emphasizing the importance of AI in the context of digital transformation for enterprises [1]. - Dr. Du Yu, a renowned expert in AI, delivered the course, providing insights into AI's core principles, innovative trends, and practical applications across various industries [3][4]. Group 2: AI Applications in the Electrical Industry - Dr. Du analyzed the current application status and development trends of AI technology in the electrical industry, highlighting unprecedented transformation opportunities due to the rise of generative AI [6]. - Several AI application cases in the electrical sector were presented, such as: - Shenzhen Power Supply Bureau's "Zhurong 2.0" model, which enhances inspection efficiency and safety [10]. - State Grid's "Bright Power Model," which significantly reduces the time for large power supply plan preparation from 10 hours to 10 minutes [10]. - Southern Power Grid's "Big Watt" AI model, capable of processing 100 images per minute and identifying 20 types of defects, achieving ten times the efficiency of traditional algorithms [10]. Group 3: Collaboration and Future Prospects - The collaboration between Shanghai Electric and the Unknown AI Research Institute reflects Shanghai Electric's commitment to embracing AI technology and exploring innovative development paths [20]. - The training provided participants with a deeper understanding of AI technology and its practical applications, enhancing the company's competitiveness and innovation capabilities [20][22]. - The Unknown AI Research Institute aims to continue promoting AI technology's popularization and application, collaborating with more enterprises to explore the limitless possibilities of AI [24].

近日， 未可知人工智能研究院副院长张孜铭老师受邀前往西南空管局 ，开展了一场以" 聚焦数字化转型如何用 AI提升工作质效打造智慧型团 队 "为主题的分享会。 此次分享会旨在帮助 西南空管局 工作人员深入了解人工智能技术在办公领域的应用，提升工作效率，推动区域数字化转型。 张孜铭老师作为 人工智能领域的资深专家 ，拥有丰富的学术背景和实践经验。 他不仅是北京大学管理学硕士、新加坡国立大学金融工程硕士，还担任《AIGC：智能创作时代》一书的作者，参与了多项国家级人工智能标准 的起草工作。 在分享会上，张老师深入浅出地介绍了 人工智能的发展历程、技术原理以及在不同行业的应用案例 ，让在场的政府工作人员对AI有了更全 面、更深刻的认识。 在分享过程中，张老师着重讲解了 AI在办公场景中的应用 。他指出，随着人工智能技术的不断进步，AI工具已经能够帮助人们高效完成文本 生成、数据处理、图像设计等任务。 例如，通过AI生成PPT，可以在短时间内快速生成高质量的演示文稿，大大节省了制作时间；利用AI处理Excel数据，能够快速进行数据分析和 图表绘制，提高工作效率。 张老师还现场展示了如何使用AI工具进行文本创作、图像生成 ...

近日，苏州迎来了一场备受瞩目的AI 战略盛宴。 未可知人工智能研究院院长杜雨博士受邀为明道企业家书院的一代企业家和二代企业家们举办 了一场主题为 "传统企业靠 AI 翻身？" 的 AI 战略工作坊 ，旨在助力传统企业借助 AI 技术实 现转型升级，开拓新的发展路径。 专业引领，深度剖析 AI 战略实施要点 工作坊伊始，杜雨博士便凭借其深厚的专业素养，深入浅出地为在场企业家们解读了 AI 战略 的实施要点。他强调， AI 战略的落地关键在于将组织的宏观战略转化为全体员工都能理解并 切实执行的行动。 为此，他详细阐述了描述 AI 战略、衡量 AI 战略以及制定 AI 行动地图这 三大核心环节。 在描述 AI 战略时，杜雨博士指出，企业需将宏大目标拆解为一个个小目标，并进一步转化为 具体可操作 的目标描述。 例如，对于传统制造企业而言，可设定通过 AI 技术降低生产成本、提升生产效率、创新产品 壁垒等细分目标，并详细阐述运用 AI 智能客服降低人力成本、打造行业专属知识大脑吸引代 理商合作、运用 AI 调度系统提高供应链效率等具体实现路径，让企业家们清晰地看到 AI 技术 如何融入企业日常运营的各个环节，为企业带来 ...

他提到，研究院致力于培养AI创新人才，通过 与各地企业、政府、院校 的深度合作，推动人工智能技术在各行业的应用落地。此外，他还介 绍了研究院的 专家团队 ，他们在人工智能领域拥有深厚的学术背景和丰富的实践经验，为研究院的发展提供了坚实的人才支撑。 针对地产从业者如何利用 AI赋能自身发展 ，张老师提出了诸多建议。他强调，地产从业者应积极学习AI技术，掌握其基本原理和应用场景， 利用AI工具提升工作效率，如通过DeepSeek进行精准信息搜索、生成营销文案、制作思维导图等。同时，他还鼓励员工在工作中 大胆尝试AI 技术，挖掘AI在不同领域的应用潜力，探索新的商业模式和解决方案。 近日， 未可知人工智能研究院副院长张孜铭老师受邀前往华润置地， 为华润置地的员工们带来了一场主题为 "AI赋能地产业：地产办公与营 销的AI提效" 的企业培训。 本次培训旨在帮助地产从业者深入了解 人工智能技术在地产领域 的应用，提升工作效率，推动行业创新。 张孜铭老师是未可知人工智能研究院副院长 ，北京大学与新加坡国立大学双硕士，华中师范大学信息管理与信息系统、华中科技大学计算机科 学与技术双学士，同时也是《DeepSeek使用指南》 ...

Core Viewpoint - The rapid development of artificial intelligence (AI) technology is reshaping the ecosystem of the fund industry, with significant implications for digital transformation and intelligent upgrades in asset management [1][5]. Group 1: Historical Development of the Fund Industry - The evolution of the fund industry has progressed from financial IT in the 1970s, to financial internet in the 1990s, and now to financial AI, marking each technological shift as a qualitative leap for the industry [3]. Group 2: Current State and Challenges of AI in the Fund Industry - Despite some achievements in AI applications within the financial sector, generative AI has not yet become mainstream, with traditional machine learning and rule engines still dominating [6]. - Industry pioneers are exploring generative AI applications, accumulating valuable experiences that are crucial for the future development of the fund industry [8]. Group 3: Application Scenarios and Strategies - Research indicates that within the next 18 months, scenarios such as intelligent investment research, smart office, and intelligent marketing have lower complexity and faster application progress, while intelligent investment research, advisory, and risk control are more complex and slower to implement [10][11]. - The fund industry should develop differentiated strategies based on various business scenarios, prioritizing breakthroughs in easier-to-implement areas before expanding into more complex scenarios [11]. Group 4: Case Studies and Best Practices - International examples such as Bloomberg's BloombergGPT, S&P Global's Kensho tools, and domestic practices like Eastmoney's intelligent research assistant demonstrate the strong empowering potential of AI in finance [15][17]. - Notable domestic practices include E Fund's EFundGPT platform, which enhances efficiency and decision-making accuracy across multiple business scenarios, and Huaxia Fund's comprehensive AI investment system that has achieved significant results in various areas [27][30]. Group 5: Strategic Insights from Leading Asset Management Firms - BlackRock's Aladdin system integrates various AI technologies to achieve intelligent investment decision-making, real-time risk management, and personalized customer service [20][22]. - Vanguard has diversified its AI applications across quantitative investment, fund advisory, personalized advertising, and cross-platform trading systems, showcasing a robust AI strategy [23]. Group 6: Recommendations for AI Strategy Development - A toolkit for enhancing AI strategy development includes customized AI strategy workshops, establishing AI knowledge update mechanisms, demand-oriented vendor selection, promoting deep integration of industry-academia-research, forward-looking investment layouts, and synergy through acquisitions [32][33]. - These initiatives aim to deepen internal AI capabilities, optimize external resource integration, and strengthen strategic positioning and competitive advantages for sustainable development in the AI era [33].

在数字浪潮汹涌澎湃的今天，人工智能正以前所未有的速度重塑着世界的模样。近日， 成都高 新区迎来了一场意义非凡的政务培训，未可知人工智能研究院副院长张孜铭先生亲临现场， 为 高新区的政务工作者们带来了一场关于人工智能（AI）的深度分享，一同探索智能时代的发展 密码。 一、培训现场：思想碰撞，智慧交锋 成都市IC产业园会议中心内，气氛热烈而庄重。张孜铭副院长的讲解深入浅出，从AI的起源讲 起，沿着时间的脉络， 详细梳理了人工智能的发展历程 。他提到，从早期的萌芽阶段，到如 今的快速腾飞，AI正逐步渗透到我们生活的每一个角落，成为推动社会进步的关键力量。 在讲解过程中， 张副院长结合实际案例，生动展示了 AI在不同领域的应用成果。 从智能家居 的便捷生活，到医疗健康领域的精准诊断，再到电商行业的智能推荐，AI的多面性让在场的每 一位听众都惊叹不已。他强调，AI不仅是技术的革新，更是思维方式的转变，它让我们能够以 全新的视角看待问题，寻找解决方案。 二 、 AIGC：内容生产力的大变革 培训的核心内容之一是 AIGC（生成式人工智能内容）。张副院长指出，AIGC正引发一场内容 生产力的革命。 与传统的PGC（专业生产 ...

Core Insights - The article emphasizes that the AI market is projected to be ten times larger than the cloud computing market, with significant growth expected over the next 10 to 20 years [4][6]. - It highlights the importance of application layers in creating value within the AI sector, suggesting that successful companies will focus on specific verticals and customer needs [10][11]. - The emergence of the "agent economy" is discussed, where AI agents will play a crucial role in business operations and interactions, transforming how work is conducted [36][38]. Market Opportunities - Pat Grady poses essential questions regarding the significance of AI and the timing for investment, framing the discussion around the potential of AI as a trillion-dollar opportunity [2]. - The comparison between cloud computing and AI transformation indicates that AI's starting market size is expected to be at least an order of magnitude larger than that of early cloud computing [4]. - AI is not only disrupting the service market but also the software market, with companies evolving from simple tools to more intelligent, automated solutions [6]. Application Layer Value - Historical analysis shows that major technological revolutions have led to significant revenue generation at the application layer, a trend expected to continue with AI [10]. - Companies should focus on specific functionalities and customer needs to create value, especially as AI models become more capable [11]. - Key factors for building successful AI companies include avoiding "vibe revenue," ensuring trust, and establishing a clear path to healthy profit margins [16][17]. User Engagement and Breakthroughs - There has been a notable increase in user engagement with AI applications, with daily active users of tools like ChatGPT rising significantly [19][20]. - Two critical areas of focus for 2024 are advancements in voice generation technology and programming capabilities, which are expected to enhance accessibility and efficiency in software development [22][24]. Vertical Agents and Intelligent Economy - The development of vertical agents, which are specialized AI systems trained for specific tasks, is seen as a promising opportunity for entrepreneurs [31][32]. - The concept of the "agent economy" is introduced, where AI agents will facilitate transactions and interactions, creating a new economic framework [36][38]. - Key challenges in realizing this vision include establishing persistent identities for agents, developing seamless communication protocols, and ensuring security and trust [39][40]. Transformative Changes in Work and Management - The shift towards an agent economy will fundamentally alter management practices and decision-making processes, requiring a new understanding of AI capabilities [41][43]. - The anticipated integration of AI agents into organizational structures is expected to lead to unprecedented levels of operational efficiency and economic transformation [44].