在广州海珠区的校园里，人工智能不再只是前沿科技概念，而是化身为课堂上的"智能学伴"、教师手中 的"数据导航"、校园管理的"智慧中枢"，更是连接千年岭南文脉与未来创新人才的桥梁。海珠区以系统 性的规划与扎实的实践，回应时代对教育数字化转型的呼唤，正勾勒出一幅"科技赋能、人文浸润"的智 慧教育新画卷。 绘制"五位一体"实施路径，确立四大核心目标 面对人工智能时代的育人新挑战，海珠区积极响应广州市《关于深化广州市中小学人工智能与教育融合 创新的若干措施(2025-2027年)》，制定并实施《海珠区中小学人工智能教育指导意见(2.0版)》。这份区 域蓝图以"理念引领、平台筑基、数据赋能、实践创新、伦理护航"构建起五位一体的系统实施路径。 课程贯通是基础，海珠区实现人工智能教育在1至8年级的全覆盖，通过构建"AI通识+学科应用"的双轨 课程框架；文化融合是特色，根植于深厚的岭南文化底蕴，海珠区正着力开发10个以上"AI+非遗"等本 土文化主题课程，打造"科技+人文"特色品牌；教学创新是关键，2027年前实现生成式人工智能(GAI)工 具在80%以上学校常态化应用，从根本上改变传统教学的面貌，激发课堂新活力；素养提升是根 ...

据报道，IBM正就以约110亿美元收购数据基础设施公司Confluent进行深入谈判，此举旨在提升IBM捕 捉日益增长的云服务需求的能力。 在首席执行官克里希纳（Arvind Krishna）的领导下，IBM加强了对软件业务的关注，旨在利用云服务 支出的增加。 对Confluent的兴趣突显出，在企业竞相开发生成式人工智能（GAI）的推动下，对数据基础设施公司的 需求激增。今年5月，Salesforce同意以约80亿美元的价格收购软件制造商Informatica，以增强其人工智 能能力。 责任编辑：于健 SF069 据报道，IBM正就以约110亿美元收购数据基础设施公司Confluent进行深入谈判，此举旨在提升IBM捕 捉日益增长的云服务需求的能力。 据知情人士称，该交易最早可能于美国时间周一宣布。 Confluent是一个用于处理海量实时数据流（从银行交易到网站点击）的开源平台。今年10月有报道称， 在吸引了潜在买家的兴趣后，Confluent正在考虑出售，并已聘请一家投行来管理这一过程。 根据lSEG的数据，Confluent的市值约为80.9亿美元，而总部位于纽约的IBM的市值约为2878.4亿美元。 ...

Core Insights - The manufacturing industry is facing significant challenges in workforce transformation and talent supply due to aging populations and declining interest from younger generations in manufacturing jobs [1] - A report from the World Economic Forum indicates that over 40% of Generation Z employees in manufacturing are considering leaving their jobs within the next three to six months [1] - There is a mismatch between the skills taught in educational institutions and the needs of the manufacturing industry, exacerbated by rapid technological advancements [1] Group 1: Talent Shortage and Demand - The manufacturing sector globally is experiencing a talent shortage, particularly in developed countries, where young people prefer more comfortable jobs in finance rather than in the manufacturing sector [3] - In the U.S., a report from the Manufacturing Institute and Deloitte forecasts a need for up to 3.8 million manufacturing workers from 2024 to 2033, with approximately 1.9 million positions expected to remain unfilled [3] - The industry requires talent with foundational scientific knowledge and digital skills to effectively utilize advanced technologies like AI and automation [4] Group 2: Role of Education and Innovation - Universities and companies should play distinct roles in research and development, with universities focusing on foundational research that can lead to innovative ideas, while companies concentrate on short-term R&D goals [5] - The World Manufacturing Foundation reported that 29.9 million workers in advanced manufacturing will need to change their skills due to trends like green transformation and new technology applications [5] - There is a growing need for interdisciplinary and comprehensive talent that can adapt to rapid changes in the industry, rather than individuals with expertise in only one field [5][6] Group 3: Lifelong Learning - Educational institutions should aim to cultivate talent capable of lifelong learning, preparing individuals for long-term career development rather than just their first job [6]

Group 1 - The rapid development of Generative Artificial Intelligence (GAI) is infiltrating academic systems globally, with tools like ChatGPT and DeepSeek becoming integral to students' creative processes as "academic assistants" [1] - The emergence of GAI has raised significant concerns regarding academic integrity, prompting universities to enhance countermeasures and develop advanced detection technologies as central weapons in the AI "arms race" [1][3] - The user growth of ChatGPT has been unprecedented, reaching over 1 million users within a week of its launch and surpassing 100 million monthly active users by January 2023, making it the fastest-growing consumer application in history [2] Group 2 - Several top universities in the U.S. have classified AI-generated application essays as academic dishonesty, with penalties including disqualification from admission, while Yale University encourages the use of AI as a brainstorming tool under the condition of maintaining academic integrity [3] - In academic publishing, journals like Nature have established rules prohibiting the listing of AI tools like ChatGPT as authors to uphold standards of academic authorship and responsibility [3] - Traditional plagiarism detection methods are challenged by GAI, leading institutions to adopt more sophisticated tools like Turnitin and The Checker AI to mitigate risks associated with AI-generated content [4] Group 3 - Turnitin's technology compares student papers against a vast academic content database, but it is not the sole indicator of academic misconduct, as AI detection tools exhibit significant flaws in consistency, reliability, and transparency [4][5] - Many detection tools struggle with accuracy, often misclassifying human-written texts as AI-generated or failing to identify actual AI-written content, particularly when AI texts are edited or translated [5][6] - Human detection remains crucial, as studies indicate that university professors can accurately distinguish between original student papers and those generated by ChatGPT, with original works displaying more engagement features compared to AI outputs [6]