借助平台中观察记录、成长档案、手环数据等模块，我园尝试构建多维信息收集与整合路径，实现信息收集"四关注"落地。教师始终是信息采集的主体，在 真实情境中依据评估参照标准，主动捕捉能反映儿童发展的典型行为与作品。在数据类型方面，以图文、视频、音频等多种形式，记录儿童在教学、生活、 游戏等各类活动中的信息。比如，一段记录儿童在游戏中反复调整积木平衡的短视频，辅以教师简要的文字描述，便能高效、生动地呈现其坚持性、问题解 决能力的发展过程。 在多主体方面，汇聚教师、家长、儿童等多主体的评价信息，助力教师更全面、准确地理解每个儿童。比如，家长在平台上传的家庭阅读视频，显示孩子能 自主翻页并模仿讲述，补充了教师在园内未观察到的语言表达细节。在多渠道方面，除了教师的日常观察和儿童作品，还通过儿童穿戴式设备自动采集儿童 的体温、心率、运动强度、活动区域停留时长等实时数据，让这些可量化的零散数据得以可视化。 可视化分析与动态研判，把握儿童发展状况 当前，在学前教育评价改革持续深化的背景下，幼儿园自评普遍存在科学性欠佳、结果运用低效、支持性工具缺乏等问题，导致评价结果未能充分促进课程 改进，制约了保教质量的全面提升。为系统破解这一 ...

Group 1 - The core viewpoint emphasizes the integration of artificial intelligence in education as a key driver for educational modernization and reform, aligning with national strategies for building a strong education system [1][5] - The concept of human-machine collaboration is highlighted as essential for optimizing the educational ecosystem, fostering innovation, and creating a flexible and equitable future education landscape [1][5] Group 2 - The article discusses the importance of establishing a new digital education paradigm through human-machine collaboration, which is seen as a prerequisite for building a new educational ecosystem [2] - It stresses the need for a societal consensus on the value of human-machine collaboration, particularly among educators, students, and parents, to enhance personalized learning and improve educational management [2][4] - The article outlines the necessity of creating a resource-sharing platform that integrates efforts from government, schools, and enterprises to promote collaborative educational research and resource sharing [2][3] Group 3 - The article emphasizes the need for innovative applications of human-machine collaboration to enhance the entire educational process, including teaching, learning, and assessment [3] - It advocates for the development of AI-assisted teaching tools and adaptive learning platforms to support personalized education and improve teaching effectiveness [3][4] - The promotion of industry collaboration to develop proprietary educational AI technologies is also highlighted as a means to enhance global competitiveness in education [3] Group 4 - The article calls for a robust governance framework to address potential risks associated with human-machine collaboration in education, such as data security and algorithm ethics [4] - It suggests the establishment of regulatory policies to clarify responsibilities and protect data privacy within educational contexts [4] - The need for enhancing digital literacy and ethical awareness among educators and students is emphasized to ensure responsible use of technology in education [4] Group 5 - The overall message stresses the importance of human-machine collaboration as a core engine for shaping a new digital education ecosystem, which is crucial for the modernization of education [5] - The principles of being student-centered, technology-enabled, and innovation-driven are highlighted as essential for building a vibrant and equitable educational environment [5]

Investment Rating - The report assigns an "Outperform" rating to Bairong Cloud, indicating an expected relative return exceeding 10% over the next 12-18 months [14]. Core Insights - Bairong Cloud launched its ResultsCloud platform, which aims to transform the business model from "selling tools" to "selling outcomes" through the introduction of silicon-based employees, enhancing collaboration between AI and human workers [1][6]. - The company is positioned to redefine enterprise competitiveness in the digital economy, with a strategic focus on expanding its silicon-based employee ecosystem beyond the financial sector into healthcare and education by 2028 [2][3][6]. - The RaaS (Results-as-a-Service) model is highlighted as a significant shift, integrating enterprise strategies with technological advancements, moving Bairong Cloud from a tool provider to a business outcome partner [2][3][6]. Summary by Sections Event Overview - On December 18, 2025, Bairong Cloud held a conference to introduce the ResultsCloud platform, emphasizing a fundamental shift in productivity from carbon-based to silicon-based systems [1][6]. Technological Innovations - The ResultsCloud platform features a three-layer architecture: AI Infra reasoning engine, AgentOS lifecycle management, and AgentStore commercialization, significantly enhancing operational efficiency [2][6]. - Key products launched include: 1. Baiying: Customer service and marketing, improving customer satisfaction by 40% [2]. 2. Baicai: Recruitment, reducing hiring cycles to 28 days with a 5x productivity increase [2]. 3. Baijian: Cross-border legal and tax services, achieving a 90% efficiency boost and 70% cost reduction [2]. 4. Baizhi: Knowledge production, compressing cycles to 4 days with a 400% efficiency increase [2]. Strategic Vision - Bairong Cloud's three-phase strategy includes consolidating fintech advantages (2025-2026), expanding into vertical sectors (2027-2028), and becoming a global leader in silicon-based productivity (2029-2030) [2][6]. Industry Impact - The large-scale application of silicon-based employees is expected to redefine core competitiveness for enterprises, with early adopters likely to gain a significant advantage in the digital economy [3][6].

荣膺国际认可，彰显AI教育中国力量 活动现场，松鼠Ai智能老师高级常务副总徐艺涵分享了品牌的初心与使命。她表示，松鼠Ai智能老师始 终致力于"让每个孩子身边都能拥有一位集孔子的育人智慧、达芬奇的创意思维、爱因斯坦的探索精神 于一体的AI超级老师"，希望通过技术创新消弭教育壁垒，让优质教育资源惠及万千学子。 而这份初心的落地，正依托于品牌持续深耕的技术实力，更是松鼠Ai智能老师技术成果斩获国际权威认 可的关键一年。其自主研发的全学科多模态智适应教育大模型，成功入选《时代周刊》2025年度最佳发 明榜单，被评价为"颠覆行业与日常生活的突破性AI工具"；徐艺涵个人则凭借在AI教育领域的卓越贡献 与行业影响力，不仅荣登国际商业杂志《CEO见解》（The CEO Views）封面、斩获其"2025思想领导力 奖"，更因其在品牌传播与教育创新融合领域的突出成就，在本次峰会上获评"2025福布斯中国教育行业 影响力教育人物奖"。 这份双重认可的背后，是扎实的技术落地成果。目前松鼠Ai智能老师已服务全国6万所公立学校、4300 万学生，积累超200亿条学习行为数据，更通过超百次人机对比实验，充分验证了AI在补差培优方面的 显 ...

红果短剧精品短剧负责人魏钦涛介绍，微短剧行业正经历从"流量驱动"到"价值深耕"的关键转型。优质 内容是微短剧永葆活力的关键，"叫好又叫座"的精品短剧，不仅能有效赋能千行百业，更是行业健康、 可持续发展的强大动力。 现场发布的《中国文娱产业AI应用发展报告》显示，2024年我国数字文娱市场规模达1.75万亿元，短视 频用户占比93.6%，短剧、虚拟娱乐等新兴赛道增长显著。天河区凭借"政策+资源+服务"三位一体优 势，成为我国数字文娱与AI深度融合的"核心引擎"。大会现场还发布了天河区促进数字文化产业高质量 发展的若干措施，包括《广州市天河区促进文化产业园区和游戏电竞产业高质量发展的若干政策措施》 《广州市天河区促进文旅体产业高质量发展的若干政策措施》；举行广州游戏产业服务中心落户天河等 合作签约、天河区与企业代表签约、2026年天河区系列音乐演艺活动等重大项目落地签约仪式。 中国工程院院士丁文华在主旨演讲中表示，我国AIGC应用仍处于发展初期，未来应推动人机协同，建 立伦理规范，使AI成为创意"放大器"。 泡泡玛特国际集团副总裁陈晓芸表示，IP是泡泡玛特发展的核心驱动力，更是连接全球消费者的情感纽 带。通过IP ...

今天分享的是：2025年AI商业趋势-谷歌 报告共计：49页 AI Agent正从单一聊天机器人演进为多Agent系统，客户服务、员工服务、创意服务等六大类型Agent成为企业AI转型核心工具。82%的企业计划三年内集成 AI Agent，71%认为其将显著提升工作流自动化与客户满意度，在零售营销、媒体内容创作等领域应用成效显著。 辅助搜索成为知识工作新前沿，截至2031年企业搜索市场规模预计达129亿美元。AI赋能的搜索工具通过处理多格式数据、理解复杂查询，加速企业内部数 据获取与分析，为决策提供深度支撑，已在临床数据检索、企业信息查询等场景落地。 AI赋能的客户体验迈向自然化、个性化，55%的组织将客户服务与支持列为生成式AI重点应用领域。AI通过全渠道一致服务、情感分析、个性化推荐等功 能，解决多渠道互动、客户信任不足等痛点，在旅游规划、营销精准度提升等场景实现突破。 AI为安全防护注入新动能，成为安全专业人员的核心工具，可通过规则创建、攻击模拟、违规检测等功能降低安全成本。2025年将是AI融入安全最佳实践 的关键年，各行业正借助AI应对复杂威胁，强化数据安全与风险防控。 总体而言，2025年AI将深 ...

12月16日晚，由中信书店、杨浦科创集团、V聚场联合主办，杨浦区融媒体中心协办的"AI Workshop"系列活动第二期如期在杨浦V聚场举行。B站百大 UP主"图灵的猫"的一句话，吸引台下观众纷纷抬头。 本期活动聚焦AI创作工具"Creaibo创伴"，邀请Creaibo创伴智能创始人、B站百大UP主"图灵的猫"王依然与Creaibo创伴智能CTO沈家成来到现场，以"在 Creaibo，玩转你的创作！"为主题，通过深度讲解、实操演示和互动答疑，带领创作者、职场人开启了一场"人机协同"的创作之旅。 "在这个AI工具层出不穷的时代，很多人困惑于'AI怎么用'，更担忧'创作者的主体性被替代'。"活动现场，王依然的分享直击行业痛点。他坦言，AI在工 作效率上的碾压式优势是不争的事实，但优质创作的核心始终在于人类的创意与思考。"我们不想做一键生成的'傻瓜工具'，而是希望Creaibo成为创作者 的'外骨骼'，为创意装上一对翅膀。" 这番理念正彰显了Creaibo的设计初衷。这款中文名为"创伴"的AI工具，诞生于创始人自身的创作经历——作为B站UP主，也是长期深耕内容领域的创作 者，王依然深知从灵感到作品的每一个环节痛点， ...

她具备顶尖分析师的思维模式，能够独立运行从数据监测到策略报告生成的自动化研究流程。在他的认知体系里，市场动态与竞争态势构成完整的决策 图谱，持续为项目提供经过验证的策略建议。 私域主编：永不停歇的内容创作者 在房地产行业迈向高质量发展的关键阶段，数字化转型正催生一场深刻而必要的组织变革。深度智联推出的"数字员工"产品，致力于为企业提供降本增 效的数字化解决方案，推动行业整体效率提升与社会价值共创。 通过构建人机协同的新型工作模式，我们期待在提升企业竞争力的同时，助力行业人才结构升级。如今，这一图景正率先在房地产行业落地——传统行 业迎来了自己的"新同事"，开启了人机协作、价值共创的新篇章。经过深度智联为期一年的"魔鬼训练"，中国房地产行业第一批真正意义上的数字员工 战队，已正式上岗。他们是为行业预训练的AI劳动力，自带一套完整的自动化工作流。他们成本极低、不占用工位、不需要休息，却能7×24小时不间断 地执行从数据分析到内容创作的复杂任务——他们正在从根本上变革行业的劳动力结构，在降低企业人力成本的同时，释放出更大的生产潜能。 ▼ 这不是系统升级，而是"新同事"的入职 与传统的管理软件不同，这支数字员工战队从 ...

Core Insights - The article discusses the integration of AI technology into industrial production lines, emphasizing the need for quantifiable and verifiable productivity improvements [2] - 360 has released a list of "Top 10 AI Advanced Productivity Cases," showcasing successful applications across various sectors including education, transportation, finance, energy, and government [2] Group 1: AI in Security and Infrastructure - In the security sector, the introduction of 360's AI agents has transformed operations from "passive response" to "proactive defense," significantly improving response times and operational efficiency [5] - The Chongqing University case demonstrated a 90% accuracy rate in threat assessment and a 70% reduction in operational consultation volume after implementing 360's security solutions [5] - The Shenzhen municipal government's platform improved operational efficiency and reduced management costs, providing a replicable model for digital government initiatives [5] Group 2: AI in Finance and Operations - Dongwu Securities reported a 90% increase in security response efficiency and a 40% reduction in operational time after adopting 360's centralized operation center [6] - The integration of a unified data platform for Chongqing Rail Transit led to enhanced data utilization and operational control, supporting critical business upgrades [6] - Shanghai Electric's collaboration with 360 resulted in a 90% increase in employee search efficiency and an 80% improvement in high-value business scenarios [6] Group 3: AI in Healthcare and Digital Transformation - Huifeng Technology faced challenges in digital transformation due to high costs and talent shortages, which were addressed through a collaborative AI model with 360 [7] - Guizhou Mobile and 360 developed a comprehensive digital transformation framework, enhancing operational capabilities and security measures [7] Group 4: AI in Government Services - Daqing Huashu utilized 360's AI capabilities to streamline public data governance, achieving over 95% accuracy in policy matching and reducing application times to 30 minutes [8] - The implementation of AI in Ningbo Beilun District improved policy matching efficiency, significantly lowering operational costs for enterprises [8] - The article emphasizes that the future of AI integration lies in "human-machine collaboration" rather than replacement, highlighting the strategic value of AI in driving innovation and education [8] Group 5: Strategic Vision and Future Directions - 360's "All-In Agent" strategy aims to enhance the practical application of AI technology, focusing on flexible, scenario-based solutions and an open empowerment ecosystem [8] - The company emphasizes the importance of deep industry insights and understanding for successful technology implementation, aiming to contribute to the high-quality development of China's digital economy [8]

本报讯 （记者袁传玺）12月17日，百度健康在AIDAY上，集中发布文心健康管家升级、原子开放计划、Dr.Flow创作平台 三大成果。 据鲁妹介绍，像平台现有的6亿专业健康内容、36万专业医生服务，以及100余项AI工具能力将全部开放，合作对象覆盖医 院、医药企业、保险机构、智能硬件厂商、健康应用开发者等全产业链主体。"无论是智能手表需要健康数据解读功能，还是 药企想搭建科普内容平台，都能直接复用百度健康的AI技术与权威资源，无需从零研发。" 目前，百度健康已凭借日均超1.3亿精准用户，以及超8000万日均医疗模型服务量，成为行业领先的互联网医院，其开放生 态将进一步加速健康产业的数字化转型进程。 针对健康科普需求旺盛但供给失衡的现状，百度健康AI创作产品负责人翟悦发布行业首个健康从业者专属可控AI创作平台 ——Dr.Flow，为医生、营养师、心理咨询师等健康从业者提供"减负赋能"的创作解决方案。 （编辑 黄力） 杨明璐指出，10月18日百度健康AI管家上线后，AI+真人的服务总订单量已超过4700万，通过人机协同的模式创新，已经 实现了10倍于原有纯真人服务的规模增益。做到让AI有医靠，这样的实践让技术平权 ...