2025年11月9日晚，珠江之畔，灯火璀璨。广州奥体中心体育场内，第十五届全国运动会开幕式盛大举行。在这场以"圆梦未来"为主题的视听盛宴中，一幅 由MasterAgent——全国产化AI Agent技术生成的展现岭南瑰丽壮阔风光的174米油画长卷惊艳亮相。它于国旗入场仪式的庄严时刻铺展开来，以科技与艺术 交融的磅礴笔触，绘就粤港澳大湾区融合发展的时代画卷，成为本次乃至历届开幕式最具震撼力的视觉符号之一。 巨幕点亮：AI长卷惊艳亮相 当晚8时许，国旗仪仗队迈着铿锵步伐入场。此时，体育场中央的九块圆形巨幕联动展开，一幅长达174米的巨型油画呈现于观众眼前——广州塔"小蛮腰"亭 亭玉立，深圳"春笋"大厦勾勒出摩登天际线，澳门大三巴牌坊诉说着中西交融……粤港澳大湾区的标志性景观一一呈现，既保留了油画的厚重质感，又增添 了数字艺术的灵动韵律。 这幅令现场观众叹为观止的恢弘作品，并非出自传统人类艺术家之手，其创作者是人工智能新锐企业 —— 深圳深元人工智能科技有限公司（简称 "深元人 工智能"）。作为我国 AI 领域自主创新的代表力量，依托其自主研发的全球首个L4级智能体母体系统——MasterAgent，在全运会开幕式 ...

瑞财经 刘治颖 近日，武汉亿量科技有限公司（以下简称：亿量科技）完成数千万元B1轮融资。由招银国际领投，洪山资本、江城基金跟投，本轮融资资金 将主要用于模型优化、营销投入与团队规模拓展。 据悉，亿量科技已累计服务300多个行业的近1万家企业，其中超九成客户为中小企业。" 天眼查显示，亿量科技实际控制人为高辉，总持股比例为46.66%，表决权为61.88%。目前，高辉担任公司董事长、经理。 亿量科技成立于2019年3月，法定代表人为高辉，注册资本：1638.37万元，专注于线索获客行业销售场景的AI Agent产品开发及应用。 2023年5月，亿量科技正式推出AI Agent产品"销售保AI"，包含AI投流助手、 AI获客助手、AI全场景对话分析、AI客户分析报告、AI话术助手、AI实时指 导、AI销售陪练、AI线索质量分析、AI客户回捞、AI销售知识库等工具矩阵。在整合调用通用大模型能力的基础之上，亿量科技依托其在销售垂直领域积 累的企业独有数据，自研垂直模型并逐步构建行业知识库，为企业提供全链路线索销售转化Agent。 ...

Investment Rating - The investment rating for the computer industry is "Positive" (maintained) [1] Core Viewpoints - The report highlights that new government policies are expected to promote the large-scale commercialization of AI and other new technologies [5][12] - Continuous improvement in AI model capabilities and decreasing costs are driving the prosperity of AI applications [6][13] - AI Agents are emerging as a new trend in the application industry, with accelerated commercialization [7][14] Summary by Sections Market Review - During the week of November 3 to November 7, 2025, the CSI 300 index rose by 0.82%, while the computer index fell by 2.54% [4][16] Government Policies - The State Council issued an implementation opinion on accelerating the cultivation and large-scale application of new scenarios, which supports the construction of various integrated scenarios and promotes the efficient allocation of scene resources [5][12] AI Model Development - Since 2025, global model innovation has entered a high-quality development phase, with significant improvements in model capabilities and reductions in costs. For instance, the input price of GPT-5 is 37.5% lower than that of GPT-4.1 [6][13] AI Agent Innovations - AI Agents are redefining software services, with predictions that by 2028, at least 15% of daily work decisions will be made autonomously by agentic AI. Recent innovations include new execution modes that enhance efficiency [7][14] Investment Recommendations - The report recommends several companies in the AI application sector, including Kingsoft Office, Hehe Information, Dingjie Smart, and others, as beneficiaries of the new policies [8][15]

Warden @wardenprotocol 这个项目我看了下团队背景挺好的，最近动作频频，估计 TGE 快了。多位联创都来自 Binance，属于 ex-Binance 系，其他成员还有 Uber、Tendermint、Google、NASA 和 W3C。因此除了在区块链本身很有经验之外，在构建 B 端 C 端平衡生态也有优势，Warden 则加上了一个 A 端（AI Agent 端）现在 AI Agent 赛道也很卷，难得 Warden 能跟用户“玩”在一起，很娱乐化的姿态。像他们最近推出的类 Tinder 的预测市场产品 BetFlix （2 美元一次，5 -15 秒内左右或者上滑判断交易），在官网明确指出这就是一个“超休闲交易游戏”Warden 本身是一个全栈架构的 AI Agent 网络，也就是说它的能力和服务是同时面向开发者、 AI Agent、用户的：- Warden Studio：零代码智能体开发工具，字面意思，降低 AI Agent 的开发门槛，没有技术、普通用户都可以开发直接铸造在 Warden Chain 上的 AI Agent- Warden Chain & Agent Hub：Age ...

RT Zeneca.xyz 🔮 (@Zeneca)Got to see an early version of this product a few months back when talking with @Xeer and was genuinely excited by itJoined them as an advisor then and looking forward to the next few weeks/months for PiP World / MavAgentsAI Agent meta seems to be coming back lately, you love to see it (except now with real tech and not just glorified chat bots lol) ...

Market Overview - The market size of AI large model solutions in China is projected to reach 3.49 billion yuan in 2024, representing a year-on-year growth of 126.4%, while the MaaS (Model as a Service) market is expected to see explosive growth of 215.7% [2][6] - The MaaS market is anticipated to grow at a compound annual growth rate (CAGR) of 66.1% from 2024 to 2029, reaching 9 billion yuan by 2029 [6][10] Cost Challenges - High infrastructure costs are a significant barrier to the scaling of enterprise-level AI applications, with Nvidia predicting global AI infrastructure spending to reach 3-4 trillion USD by 2030, with a CAGR of 38%-46% from 2025 to 2030 [3] - The cost of training a single enterprise large model can exceed 1 million yuan, with ongoing costs during the inference phase creating a rigid expenditure burden [3][4] - Small and medium-sized enterprises (SMEs) average AI investment is only 3.2 million yuan, less than one-tenth of that of large enterprises, limiting their applications to basic scenarios like intelligent customer service [4] Technical Challenges - The complexity of enterprise-level AI applications is significantly higher than personal scenarios, particularly in terms of computing power management and model adaptation [4][5] - The coexistence of multiple chip brands, including domestic and Nvidia chips, creates a "computing island" phenomenon due to differences in instruction sets and optimization logic [5] MaaS Advantages - MaaS is seen as the optimal service model for the implementation of enterprise-level AI, providing an integrated solution that includes model repositories, inference engines, and operational tools [6][10] - The cost advantages of MaaS are evident, as it significantly reduces the overall costs of AI applications through technological optimization and model innovation [6][7] - Companies using the MaaS model report a 2-3 times higher return on AI investment compared to traditional models, with the financial sector seeing returns as high as 4 times [7] Future Trends - The MaaS market is evolving towards "intelligent integration, localization, and ecosystem development," with public cloud services becoming more prevalent among SMEs and private deployments focusing on security and customization for large enterprises [10][11] - The integration of AI agents and multimodal technologies is expected to transform MaaS services from auxiliary tools to core infrastructure for digital transformation, enabling AI to become a productivity tool accessible to all enterprises [12]

Empowering travel professionals and paving the way for broader integrationNEW YORK, NY, Nov. 05, 2025 (GLOBE NEWSWIRE) -- Guardforce AI Co., Limited (“Guardforce AI” or the “Company”) (NASDAQ: GFAI, GFAIW), an AI-driven technology company providing smart solutions in automation, robotics, Agentic AI and secured logistics, today announced the launch of DVGO Beta 2.0, marking a major milestone in its AI-first product roadmap and the start of its marketing expansion. DVGO, Guardforce AI’s first travel plannin ...

Group 1: Market Overview - On November 5, the Hong Kong stock market saw a net inflow of 10.373 billion HKD from northbound trading, with 3.359 billion HKD from Shanghai and 7.014 billion HKD from Shenzhen [1] - The most net bought stocks included Southern Hang Seng Technology (03033), Alibaba-W (09988), and Xiaomi Group-W (01810) [1] - The most net sold stocks were Hua Hong Semiconductor (01347), SMIC (00981), and Ganfeng Lithium (01772) [1] Group 2: Stock Performance - Alibaba-W had a net inflow of 2.53 billion HKD, with total trading volume of 4.231 billion HKD [2] - SMIC experienced a net outflow of 2.81 billion HKD, with total trading volume of 2.472 billion HKD [2] - Tencent Holdings saw a net outflow of 2.83 billion HKD, with total trading volume of 2.062 billion HKD [2] Group 3: Sector Insights - Southern Hang Seng Technology (03033) received a net inflow of 12.87 billion HKD, with analysts noting that the Hang Seng Technology Index is trading at historically low valuations, indicating potential for valuation recovery [4] - Northbound funds increased their positions in tech stocks, with Alibaba-W, Meituan-W, and Tencent receiving net inflows of 8.9 million, 1.84 million, and 585 million HKD respectively [5] - Xiaomi Group-W is expected to see a 22% year-on-year revenue growth and a 60% increase in adjusted net profit, driven by strong electric vehicle sales [5] Group 4: Corporate Developments - China Mobile (00941) had a net inflow of 2.06 billion HKD, as it announced a transfer of 0.19% of its shares to China National Petroleum Corporation to enhance strategic collaboration [6] - Northbound trading saw significant sell-offs in semiconductor stocks, with SMIC and Hua Hong Semiconductor experiencing net outflows of 4.99 billion and 6.4 billion HKD respectively [6]

Group 1: Market Overview - On November 5, the Hong Kong stock market saw a net inflow of 10.373 billion HKD from northbound trading, with 3.359 billion HKD from the Shanghai Stock Connect and 7.014 billion HKD from the Shenzhen Stock Connect [1] - The most net bought stocks included Southern Hang Seng Technology (03033), Alibaba-W (09988), and Xiaomi Group-W (01810) [1] - The most net sold stocks were Hua Hong Semiconductor (01347), SMIC (00981), and Ganfeng Lithium (01772) [1] Group 2: Individual Stock Performance - Alibaba-W (09988) had a net inflow of 2.53 billion HKD, with a total trading volume of 4.231 billion HKD [2] - Xiaomi Group-W (01810) saw a net inflow of 2.85 billion HKD, with a total trading volume of 1.830 billion HKD [2] - Tencent Holdings (00700) experienced a net outflow of 2.83 billion HKD, with a total trading volume of 2.062 billion HKD [2] Group 3: Analyst Insights - Analysts from Daiwa maintained a positive outlook on the Chinese internet sector, highlighting Tencent's strong product pipeline and anticipated growth in gaming revenue [5] - Citi's report on Xiaomi projected a 22% year-on-year revenue growth and a 60% increase in adjusted net profit for Q3, driven by robust electric vehicle sales [5] - China Mobile (00941) announced a share transfer of 0.19% to China National Petroleum Corporation to enhance strategic collaboration [6] Group 4: Sector Trends - The semiconductor sector faced net selling, with SMIC and Hua Hong Semiconductor seeing net outflows of 4.99 billion HKD and 6.4 billion HKD, respectively [7] - Analysts suggested focusing on the design sector's performance in storage, foundry, and ASICs, as well as the potential for price increases in leading foundries [7]

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