近日，未可知人工智能研究院院长杜雨博士受邀参加了安利"逐梦而行，不负此生"U35创业论坛。在这场充满前瞻性和启发性的论坛中，杜雨 博士围绕 AI时代的职业方向、人机协同的核心竞争力等话题， 为在场的U35创业者们带来了精彩的分享与深刻的见解。 AI发展现状与职业机遇： 把握时代脉搏，开启职业新篇 杜雨博士首先深入剖析了当 今 A I发展的阶段与现状。他指出，AI技术正以飞速发展的态势重塑着各个行业， 为年轻 人带来了前所未有的职业 机遇 。 从计算机视觉领域的 "AI四小龙"到 大语言模型的"AI六小虎"，中国AI产业的发 展历程清晰地展现了技术迭代与创新的力量。尽管与美 国相比，中国AI企业在估值水平上仍有一定差距，但国内AI市场的潜力与活力不容小觑。 在职业选择上，杜雨博士强调了 "热门行业"与"个人热情"之间的平衡。 他通过多个创业者的案例， 鼓励年轻人勇敢追求自己热爱的领域，并 在其中坚持深耕 。 正如袁隆平、张颂文、巴菲特等人的故事所展现的那样，热爱与坚持是穿越行业周期、实现职业突破的关键。杜雨博士的分 享不仅为 U35创业者们提供了实用的职业建议，也为他们在AI时代的职场探索注入了信心与动力。 人 ...

近日， 未可知人工智能研究院副院长张孜铭老师受邀前往宁波区华润置地， 为员工们带来了一场主题为 " 地产科技趋势洞察与DeepSeek赋能 地产业的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》的作者。他在人工智能领域有着深厚的学术背景和丰富的实践经验，曾参与多项行业标准的 起草工作，并在国内外知名学术期刊上发表多篇论文。 培训伊始，张老师深入浅出地介绍了 人工智能技术的发展历程及其在地产业中的应用现状 。他指出，随着 AI技术的飞速发展，从传统的决策 式AI到生成式AI，再到元宇宙、Web3等新兴技术，地产业正逐步实现数字化转型。张老师通过丰富的案例，展示了 AI在建筑设计、施工流程优 化、市场定位、客户分析、智慧物业 等领域的广泛应用，让在场员工对AI技术在地产领域的应用有了更直观的认识。 在介绍 DeepSeek 这一国产AI产品时，张老师详细阐述 ...

Core Insights - The training session titled "AI Empowering Fund Marketing" was conducted by Zhang Ziming, Vice President of the Unknown AI Research Institute, aimed at enhancing the efficiency and innovation capabilities of fund industry practitioners through AI technology [1][8] - The training emphasized the practical applications of AI in marketing, including content generation, data analysis, and customer communication, showcasing how AI tools can significantly improve marketing efficiency [2][8] Group 1 - The core difference between generative AI and decision-making AI was explained, highlighting their respective applications in various marketing scenarios [2] - Participants expressed that the training was closely aligned with business needs and highly practical, with one channel manager noting that AI is now seen as a powerful tool for enhancing work efficiency [4] - The training helped Penghua Fund better grasp technological opportunities in the AI era and explore suitable AI solutions to accelerate its digital transformation process [8]

在人工智能浪潮席卷全球的当下，未可知人工智能研究院于近日举办的企业AI 战略落地工作坊第二天下午场活动成功落下帷幕。本次工作坊聚 焦于 AI 战略制定与落地方法，通过分小组讨论、展示与点评的方式，激发了企业高管和行业专家的创新思维，共同探索 AI 时代的商业机遇与 挑战，现场氛围热烈，讨论深入，成果丰硕。 一、AI 战略工作坊：激发创新思维 下午的工作坊以AI 战略工作坊为核心，将参与者分成多个小组，围绕各自企业的实际业务场景，展开深入的讨论。每个小组都拿到了一份精心 设计的《AI 战略拆解表》，这份工具表涵盖了 AI 战略描述、细分目标、具体描述、AI 战略衡量、切入环节与方式、衡量指标以及 AI 战略行 动地图等多个关键模块，帮助小组成员系统地梳理 AI 战略的实施路径。 在讨论过程中，各小组成员充分发挥自己的专业知识和行业经验，结合 DeepSeek 等 AI 工具的特性，探讨如何将 AI 技术融入企业的日常运营和战略规划中。从市场营销到客户运营，从协同办公到研发生产，再 到中后台支持，各小 组 都提出了极具创新性和可行性的应用场景和实施策略。例如，一些小组提出了利用 AI 智能客服提升客户满意度、通过 ...

近在人工智能浪潮席卷全球的当下，未可知人工智能研究院于近日举办的企业AI 战略落地工作坊第二天上午场活动成功落下帷幕。本次工作坊 聚焦于全球人工智能产业发展趋势洞察、企业变革以及 AI 在企业经营中的落地实施路径，吸引了众多企业高管和行业专家的积极参与，共同 探索 AI 时代的商业机遇与挑战。 一、全球人工智能产业发展趋势洞察 杜雨博士首先深入剖析了全球人工智能产业的发展趋势。数据显示，人工智能行业是目前唯一投融资交 易量上涨的赛道， 2024 年 全 球 AI 融资规模突破历史性高点达到 1004 亿美元，约合人民币 7290 亿元。 然而，中国在该领域的资金占比持续收缩，面临融资约 束与算力瓶颈的双重压力。尽管如此，中国 AI 产业的发展依然展现出强劲的势头，大 语言模型（LLM）的发展加速了中国 AI 在全球市场的扩张，其全球市场份额占比已达 20%。 杜博士指出，生成式 AI 正在重塑全球经济结构和社会发展模式，从文本、音频、图像到视频，AIGC 实现了多模态内容的生成，成为大厂的必 争之地。AI 技术的发展不仅推动了资讯、影视、电商、教育、金融、医疗等行业的变革，还催生了新的商业模式和应用场景。 例 ...

近日在人工智能浪潮席卷各行业的当下，未可知人工智能研究院于近日举办的企业AI 战略落地工作坊第一天晚上场活动成功落下帷幕。本次工 作坊聚焦于企业 AI 解决方案的前沿进展、部署案例以及落地研讨，吸引了众多企业代表和行业专家的积极参与，共同探索 AI 技术在企业中的 深度应用与价值创造。 一、AI 智能体赋能企业价值 此外，扣子空间的 MCP 调用功能允许 Agent 在执行任务时调用外部服务，如"高德地图"MCP，进一步拓展了其应用边界。专家应用模块则 为企业提供了专业领域的深度应用，如"华泰 A 股观察助手"，助力企业获取精准的行业洞察。 三、从传统业务中孵化 AI 解决方案 工作坊伊始，张孜铭副院长深入剖析了大模型和AI 智能体为企业带来的多维度价值。从自动化重复性任务、优化工作流程，到业务流程再造， AI 技术助力企业实现效率提升与成本优化。 同时，在知识管理与复用方面，企业知识库构建、多业务系统数据整合以及知识的快速查询和高效复用成为可能。数据驱动的决策与洞察也因 AI 而更加精准，企业数据的二次挖掘、历史数据归纳总结以及未来发展预测预警为企业决策提供有力支持。 此外，生成式内容创作、虚拟助手与智能工 ...

Core Viewpoint - The workshop organized by the Unknown AI Research Institute focused on the application of AI in marketing, aiming to help companies leverage AI technology to enhance market competitiveness [1][14]. Group 1: AI in Advertising Marketing - AI-generated content (AIGC) has a broad application prospect, primarily in the graphic and text fields, but is rapidly penetrating more areas [3]. - AI technology aids companies in market insights, enabling data-driven problem identification and resolution for precise marketing strategies, including product selection, audience targeting, creative production, and media selection [3]. Group 2: AI in Marketing Content Generation - AI can automatically generate various forms of marketing content based on user needs and interests, including text, video, and images, significantly saving time and labor costs [5]. - The use of tools like DeepSeek and Xunfei can quickly produce high-quality marketing copy and visual content [5]. Group 3: AI in Short Video and Live Marketing - AI video generation tools such as Keling AI and Jimeng AI can create creative videos through simple prompts, enhancing the production of engaging short video content [9]. - The workshop covered the application of digital humans in live marketing, allowing companies to choose different digital personas, scripts, and live scenarios [12]. Group 4: Practical Experience and Interaction - The workshop included practical exercises where participants used various AI tools to generate marketing content, experiencing the actual application value of AI in marketing [13]. Group 5: Supporting Digital Transformation of Enterprises - The Unknown AI Research Institute is committed to promoting the application and development of AI technology across industries, providing valuable learning and exchange opportunities for companies [14]. - The successful hosting of the workshop lays a solid foundation for companies' marketing transformation in the AI era [16].

近日，未可知人工智能研究院成功举办了民营企业家AI战略工作坊，吸引了众多民营企业家的积极参与。本次工作坊聚焦于生成式AI与提示词 工程的基本原理、AI提示词实用技巧与工作应用，以及AI办公工具协同提升组织效能，旨在帮助民营企业家更好地理解和应用AI技术，提升企 业竞争力。 一、深度解析生成式AI与提示词工程 工作坊 第一天上午，未可知人工智能研究院副院长张孜铭先生为企业家们带来了精彩的分享。张副院长首先深入解析了生成式AI与决策式AI的 区别，指出生成式AI的核心在于生成新的内容，如AI绘画、生成对话等，而决策式AI则更关注如何做出满意决策，如人脸识别、风险管理等。 他还回顾了生成式AI的发展脉络，从早期的萌芽阶段到如今的快速发展，强调了技术进步对AI应用的推动作用。 在AI提示词技巧方面，张副院长详细介绍了提示词工程的重要性，并分享了多种实用技巧。他指出，提示词（Prompt）是为AI模型提供的输 入，通过设计和调整输入，可以有效改善模型性能、控制生成结果。他介绍了经典提示词框架如CO-STAR、TCREI、CRISPE等，并通过实际 案例展示了如何运用这些框架来优化AI生成内容。他还分享了如何通过符号划重 ...

Group 1 - The "Science Communication Partner Program" aims to accelerate technological collaborative innovation, build scientific communication resources, and disseminate scientific achievements [2][3] - The program seeks to gather outstanding science communication talents nationwide, creating a matrix of science communicators to enhance public scientific literacy [3] Group 2 - Dr. Du Yu, a core member of the Unknown Artificial Intelligence Research Institute, has made significant contributions to AI theoretical research and application development, publishing multiple high-impact papers in top academic journals [5] - Dr. Zhang Ziming specializes in AI algorithm optimization and high-performance computing, leading his team to overcome technical challenges and promote AI technology applications across various fields [8] - Dr. Wu Xiaonan focuses on AI ethics and sustainable development, exploring the social impacts and ethical issues of AI technology from multidisciplinary perspectives [11] Group 3 - The recognition of the three experts as "Science Communication Talents" reflects their contributions to science communication and acknowledges the efforts of the Unknown Artificial Intelligence Research Institute in promoting scientific dissemination [12] - The Unknown Artificial Intelligence Research Institute plans to continue supporting the three experts in their science communication activities and strengthen collaborations with Zhejiang Province Science Communication Center and Zhejiang TV [12]

Core Viewpoint - The integration of AI in the education sector can significantly enhance operational efficiency and content production, addressing key pain points faced by educators [3][4][8]. Group 1: AI's Impact on Education Operations - Educators spend an average of 8 hours per week on administrative tasks, which can be reduced by 300% using AI tools [3]. - The "Lego-style content production" concept allows for modular content creation, enabling personalized learning plans and efficient lesson preparation [3][4]. - AI tools can automate the generation of various educational materials, such as customized exercise sets and promotional content, drastically reducing preparation time from a week to just two hours [3][4]. Group 2: Practical Applications of AI in Education - AI can automatically generate parent meeting speeches and analyze student behavior data for reporting [4]. - Intelligent scheduling systems can prevent time conflicts, effectively acting as an AI assistant for teachers [4]. - The establishment of an intelligent material library allows for automatic updates of course materials [4]. Group 3: Future Trends in AI and Education - The training highlighted three major trends in the integration of AI and education, indicating a growing interest in this area among educational institutions [7]. - Over 120 professionals from more than 50 educational organizations participated in the training, showcasing the demand for AI-driven solutions in the education sector [7]. - The future of education will be defined by AI-enhanced teaching methods, emphasizing that AI will not replace teachers but will redefine their roles [8].