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- GoogleThree Google supported projects premiere during the 83rd Venice International Film Festival.Companies: Alphabet Inc.Google shares details on three projects that use technology to push the boundaries of human creativity that premiered during the 83rd Venice Film Festival.
- 从港股通到Physical AI：华曦达与Google生态协同再进一步 AI Home迈向新阶段Companies: Alphabet Inc.香港, 2026年9月11日 - (亚太商讯) - 9月7日起，华曦达（00901.HK）正式调入沪港通下港股通标的，内地合资格投资者参与公司的渠道进一步拓宽。与此同时，公司入选 Google Cloud“灵动万物”主动式 Physical AI 加速计划，AI Home 家庭智能体 Cedar 的技术协同、场景探索和产品化推进获得新的支持。 如果只把这两件事分别理解为资本市场事件和一次技术合作，容易低估其含义。前者扩大了公司与内地投资者的连接面，后者则把华曦达长期积累的运营商、终端、平台和全球交付能力，放到下一阶段 AI 产业竞争的真实场景中检验。更值得观察的，不是“接入了什么模型”，而是 AI 能否进入家庭这一多设备、多成员、多服务的复杂环境，并形成可被运营商部署、被用户使用、被业务持续迭代的服务体系。 一、从 Android TV/Google TV 到 Physical AI：一条持续延展、具备复制基础的 Google
- 从港股通到Physical AI：华曦达与Google生态协同再进一步 AI Home迈向新阶段Companies: Alphabet Inc.香港, 2026年9月11日 - (亚太商讯) - 9月7日起，华曦达（00901.HK）正式调入沪港通下港股通标的，内地合资格投资者参与公司的渠道进一步拓宽。与此同时，公司入选 Google Cloud“灵动万物”主动式 Physical AI 加速计划，AI Home 家庭智能体 Cedar 的技术协同、场景探索和产品化推进获得新的支持。 如果只把这两件事分别理解为资本市场事件和一次技术合作，容易低估其含义。前者扩大了公司与内地投资者的连接面，后者则把华曦达长期积累的运营商、终端、平台和全球交付能力，放到下一阶段 AI 产业竞争的真实场景中检验。更值得观察的，不是“接入了什么模型”，而是 AI 能否进入家庭这一多设备、多成员、多服务的复杂环境，并形成可被运营商部署、被用户使用、被业务持续迭代的服务体系。 一、从 Android TV/Google TV 到 Physical AI：一条持续延展、具备复制基础的 Google 生态合作路径 华曦达与 Google 生态的合作基础，早已不止于某一款终端或某一项云服务。华曦达成立于2003年，是全球最大的Android TV智能终端供应商，作为Google生态的主要战略合作伙伴，华曦达自2017年成功获得Google Android TV认证以来，持续深化与Google的合作。2023年，华曦达更是成为全球首家获得Google TV投影产品认证的ODM企业，其产品已成为Google生态不可或缺的一部分。 在云化阶段，根据Google Cloud公开客户案例显示，华曦达于2022年初选择 Google Cloud 支撑基于 Google 生态打造的 XMediaTV 云服务，解决了传统本地部署周期长、扩展性不足、运维成本高等问题，帮助运营商探索个性化广告和收入提升。 由 Android TV/Google TV 进入家庭入口、以云服务连接内容与运营、再向 AI Home 和 Physical AI 延展，构成了华曦达具备复制基础的合作路径。其价值不只在于已接入 Google 技术生态，更在于公司已具备将终端、云平台、数据分析、内容服务与运营商交付体系协同整合的经验。AI Home 因而并非从零开始的实验室方案，而是在既有数字家庭能力之上，进一步延伸至家庭环境中的智能交互、场景理解、任务决策和实体设备协同，为未来面向全球运营商复制 Physical AI 解决方案提供基础。 二、从“连接家庭设备”到“理解家庭任务”，AI Home面对的是更高难度的产品问题 Physical AI并不等同于给设备增加一个聊天入口。它更强调AI在真实环境中理解上下文、调用工具、执行任务并根据反馈持续调整。家庭场景尤其复杂：用户指令可能是不完整的，设备能力分散在电视、摄像头、网关和其他智能终端中，服务又涉及内容、安防、节能、陪护和家庭成员偏好。 因此，家庭智能体的核心指标不能只看对话是否流畅，还要看它是否能准确识别意图、理解家庭状态、选择合适的设备和服务，并在安全、隐私和权限边界内完成闭环。华曦达官方披露，自2024年发布AI Home以来，Cedar的应用已从娱乐和家庭连接扩展到安防、节能、陪护等方向，并接入Google Gemini模型以增强推理和自然对话能力。 从第三方技术视角看，Google Cloud对AI Agent生态计划的公开定义也印证了这一判断：AI Agent需要围绕具体目标，具备工具使用、推理或规划能力，并在Google Cloud上部署；计划支持合作伙伴获得产品与工程团队指导、前沿技术和技术赋能，同时提供市场进入、联合销售及曝光资源。这意味着，智能体竞争正在从模型能力比较，转向“模型+工具+部署+行业场景+商业化”的综合能力比较。 对华曦达而言，Cedar的价值不在于成为另一个通用问答机器人，而在于成为运营商家庭业务的协同入口：把家庭成员的需求、终端设备、内容服务和运营商能力放在一个可编排的系统里。 三、入选加速计划的意义：把技术验证推进到场景和产品验证 根据现有合作信息，华曦达与 Google Cloud 的协同可从三个层面理解。 第一是平台与智能体层。双方将围绕 Google Cloud 平台及AI服务，提升Cedar对家庭上下文的理解、复杂任务处理和跨终端协同能力。对家庭场景来说，这比单点模型调用更接近真实产品：用户提出需求后，系统需要识别任务、调用内容或设备能力，并处理多轮反馈。 第二是场景应用层。家庭安防、家庭娱乐、节能和陪护等方向，分别对应不同的实时性、可靠性、隐私和交互要求。场景共创的意义在于，技术必须在真实家庭和运营商服务流程中接受检验，最终沉淀为可部署、可运营、可复用的方案，而不是停留在演示层。 第三是前沿技术共研层。Google Cloud的技术与产品团队、云资源和生态资源，可以帮助企业缩短从技术验证到试点部署的周期；华曦达的终端基础、运营商客户和全球交付网络，则为新能力提供真实的产品化入口。双方形成的更像是“技术供给—场景验证—客户试点—产品迭代”的闭环。 四、从第三方视角看，华曦达的稀缺性在于“把AI送进家庭”，而不是只展示AI 第一重观察来自Google Cloud客户案例。案例披露的并非概念性合作，而是部署周期、视频延迟、运维规模和数据分析等可感知指标。这说明华曦达的合作能力已经经过云化业务检验。对AI Home而言，这种工程化经验同样关键，因为家庭智能服务需要长期稳定运行，不能只在发布会现场有效。 第二重观察来自Google Cloud自身的生态逻辑。官方AI Agent生态计划把开发、部署、采用和市场进入放在同一框架内，并明确强调合作伙伴的工程支持、Marketplace、联合销售和曝光资源。因此，入选加速计划的价值，不应只解读为获得云资源，也应理解为进入一个有机会推动技术、产品和商业协同的生态体系。 第三重观察来自华曦达公开展示的生态布局。公司官方披露的下一步方向包括依托 Android TV/Google TV 升级大屏交互，结合AI电视盒和边缘智能，强化Cedar训练、推理和自然对话能力，打造AI Camera，并拥抱Google Home生态、兼容Matter标准。这套布局体现出AI Home的产品边界正在扩展：从“电视上的助手”走向覆盖家庭入口、视觉感知、设备互联和家庭服务的系统。 当然，第三方视角也意味着需要保持审慎。技术合作和生态计划本身不等于收入、用户规模或利润的自动增长。市场最终仍会关注三个可验证问题：试点能否转化为客户订单，Cedar能否在真实家庭中保持稳定和安全，AI能力能否形成可持续的服务收入或运营商增值价值。 五、全球运营商网络，是AI Home从样板间走向规模化的关键支撑 AI Home的落地难点，不只在模型，也在交付。不同国家的网络条件、内容版权、设备标准、隐私要求和运营商业务流程差异明显。华曦达长期面向全球运营商提供软硬件一体化解决方案，公开报道显示，截至2026年6月底，公司已为全球80多个国家和地区的300多家运营商及零售品牌提供相关服务。这一基础使其具备把统一AI能力适配到不同终端、不同网络和不同运营商业务中的条件。 从产品化路径看，华曦达可以依托既有的终端设备、XHome家庭设备管控平台、XMediaTV视频流媒体平台和Cedar家庭AI智能体，形成云、边、端协同的组合。云端负责模型、数据和服务编排，边缘设备承担低延迟交互与部分本地处理，终端则把AI能力带到电视、摄像头和家庭设备中，而Google提供的生态支撑，则有助于提升AI能力接入和服务部署的效率与稳定性。这样的架构更接近运营商可管理、家庭可使用的服务形态。 因此，客观来看，虽然AI Home从技术方案走向规模化应用仍需要时间，但与Google的既有合作基础有望降低试错成本，推动相关能力更快、更稳地进入真实家庭场景。 六、资本市场新窗口与产业落地新周期 港股通纳入为华曦达带来新的投资者触达渠道，也提高了市场对公司业务进展和信息披露质量的关注。公开报道援引公司2026年中期业绩信息称，公司上半年收入约20.95亿元，同比增长约36.3%；毛利约4.43亿元，同比增长约63.4%；期内利润约1.81亿元，同比增长约75.9%。这些经营数据为市场理解公司基本面提供了参考，但不应与AI Home未来商业化成果直接画等号。 更准确的观察框架，是把华曦达放在两条并行主线上：一条是资本市场连接扩大，要求公司持续提升透明度和可验证性；另一条是Google生态协同深化，要求AI Home在技术、场景、客户和收入层面形成阶段性成果。入选Physical AI加速计划，是后者的重要节点，但不是终点，随着相关能力逐步落地，市场也将进一步观察其能否形成可持续的业务价值。 结语：从生态合作到真实家庭，AI Home进入验证深水区 从港股通到Physical AI，华曦达正在同时面对资本市场和产业市场的双重检验。港股通扩大了公司的市场关注窗口，Google生态合作则为AI Home提供了从云基础设施、AI模型到终端和家庭互联的协同支撑。 更深层的变化在于，家庭AI的竞争已经从“谁能对话”转向“谁能理解家庭、协调设备、稳定服务并持续运营”。华曦达与 Google 生态的下一阶段协同，将推动AI Home 从端侧智能向更加主动、可运营、可规模化的云边协同服务演进，这也是市场理解华曦达AI Home长期价价值的关键所在。 Copyright 2026 亚太商讯. All rights reserved. www.acnnewswire.com
- GoogleDreambeans: Daily stories, brewed just for you, now available to all accounts in the U.S.Companies: Alphabet Inc.In June, Google Labs introduced Dreambeans, an experiment that creates personalized daily collections of stories. Now, Dreambeans is available to all accounts in the U.S…
- GoogleSwitching password managers is easy and safe on AndroidCompanies: Alphabet Inc.A new Android feature lets you securely transfer passwords and passkeys between password managers.
- GoogleThe Gemini app is now available for WindowsCompanies: Alphabet Inc.We’re launching the Gemini app for Windows, the new desktop app built to work alongside your favorite tools and daily applications.
- Google3 ways to prep for your next big race with SearchCompanies: Alphabet Inc.Search can help runners get race-day ready with registration alerts, tailored training plans, and more.
- GoogleDrive profitable growth with new data and measurement toolsCompanies: Alphabet Inc.New capabilities across our measurement suite can help you make better, faster decisions that drive business growth.
- GoogleExploring Creative Intelligence with London’s Southbank CentreCompanies: Alphabet Inc.A new weekend explores how artists, digital innovation and AI are reshaping the world we live in.
- AI Labs Integrates Google's Gemini into AIV Chatbot to Launch Next-Generation Investment Analytics PlatformCompanies: Alphabet Inc.SINGAPORE, Sept 10, 2026 - Singapore-based AI Labs, a subsidiary of Web3 education pioneer Academic Labs, today announced that it has integrated Google’s Gemini AI into its flagship AIV Chatbot. The upgrade positions AIV as an advanced, structured investment analytics tool designed to simplify research across cryptocurrencies like Bitcoin and Ether, as well as tech giants including Nvidia and SpaceX. AIV allows users to ask simple questions about assets such as Bitcoin and Ether, as well as technology companies such as Nvidia and SpaceX. It then organizes responses around market outlook, technical analysis, fundamentals and risk, presenting the results in a format resembling a concise research note rather than simply generating "buy" or "sell" signals. The approach is intended to give users a more structured way of thinking about investment decisions. AIV is able to break an investment portfolio down into different sources of risk and return, distinguish between established assets and higher-growth exposures, and examine how seemingly different investments may become correlated during periods of market stress. For technology equities, the same framework can be used to distinguish between areas such as AI infrastructure, cloud computing and consumer platforms, while setting out the main upside and downside cases. The analytics platform is also designed to go beyond identifying potential returns. AIV can frame an investment thesis in terms of the assumptions on which it depends and highlight the conditions that would challenge those assumptions. Key price levels, changes in fundamentals or other "invalidation" scenarios can therefore provide investors with a clearer indication of when an investment view should be reconsidered. Google's Gemini is central to the platform's potential. Google's AI models can work across text, images, video, audio and code, while connecting with current information and interacting with external tools. Applied to AIV, these capabilities will allow the Chatbot to analyze earnings releases, retrieve market data, examine charts and tokenomics documents, calculate portfolio exposures, and explain the results in a conversational format that is easy to understand. Over time, as the technology matures, Gemini could enable investors to upload financial documents or charts for analysis, compare risks across assets, and identify developments that challenge an existing investment thesis. This would move the Chatbot closer to becoming an interactive investment research assistant. "Investors are surrounded by a wealth of information, but information on its own does not create clarity," said Ryan Chi, CEO and founder. "AIV is being built to help users connect the signals that actually matter." Kingston Kwek, an advisor to AIV, said the key objective is to make sophisticated investment analytics traditionally associated with professional investors more accessible to a broader audience by tapping Gemini's extensive analytical capabilities, especially since Gemini has achieved global adoption with hundreds of millions of users worldwide. If AIV can pair Gemini's ability to summarize and organize information with transparent sources, clear risk controls and plain-language explanations, it could become a powerful research tool for investors navigating the growing overlap between crypto, artificial intelligence and technology equities. Media Contact Company: AI Labs Contact: Media Team Email: [email protected] Website: https://ai-labs.live/
- AI Labs Integrates Google's Gemini into AIV Chatbot to Launch Next-Generation Investment Analytics PlatformCompanies: Alphabet Inc.SINGAPORE, Sept 10, 2026 - Singapore-based AI Labs, a subsidiary of Web3 education pioneer Academic Labs, today announced that it has integrated Google’s Gemini AI into its flagship AIV Chatbot. The upgrade positions AIV as an advanced, structured investment analytics tool designed to simplify research across cryptocurrencies like Bitcoin and Ether, as well as tech giants including Nvidia and SpaceX. AIV allows users to ask simple questions about assets such as Bitcoin and Ether, as well as technology companies such as Nvidia and SpaceX. It then organizes responses around market outlook, technical analysis, fundamentals and risk, presenting the results in a format resembling a concise research note rather than simply generating "buy" or "sell" signals. The approach is intended to give users a more structured way of thinking about investment decisions. AIV is able to break an investment portfolio down into different sources of risk and return, distinguish between established assets and higher-growth exposures, and examine how seemingly different investments may become correlated during periods of market stress. For technology equities, the same framework can be used to distinguish between areas such as AI infrastructure, cloud computing and consumer platforms, while setting out the main upside and downside cases. The analytics platform is also designed to go beyond identifying potential returns. AIV can frame an investment thesis in terms of the assumptions on which it depends and highlight the conditions that would challenge those assumptions. Key price levels, changes in fundamentals or other "invalidation" scenarios can therefore provide investors with a clearer indication of when an investment view should be reconsidered. Google's Gemini is central to the platform's potential. Google's AI models can work across text, images, video, audio and code, while connecting with current information and interacting with external tools. Applied to AIV, these capabilities will allow the Chatbot to analyze earnings releases, retrieve market data, examine charts and tokenomics documents, calculate portfolio exposures, and explain the results in a conversational format that is easy to understand. Over time, as the technology matures, Gemini could enable investors to upload financial documents or charts for analysis, compare risks across assets, and identify developments that challenge an existing investment thesis. This would move the Chatbot closer to becoming an interactive investment research assistant. "Investors are surrounded by a wealth of information, but information on its own does not create clarity," said Ryan Chi, CEO and founder. "AIV is being built to help users connect the signals that actually matter." Kingston Kwek, an advisor to AIV, said the key objective is to make sophisticated investment analytics traditionally associated with professional investors more accessible to a broader audience by tapping Gemini's extensive analytical capabilities, especially since Gemini has achieved global adoption with hundreds of millions of users worldwide. If AIV can pair Gemini's ability to summarize and organize information with transparent sources, clear risk controls and plain-language explanations, it could become a powerful research tool for investors navigating the growing overlap between crypto, artificial intelligence and technology equities. Media Contact Company: AI Labs Contact: Media Team Email: [email protected] Website: https://ai-labs.live/
- GoogleA new deep learning model maps global methane emissions from space.Companies: Alphabet Inc.Google and NASA JPL developed an AI model to map and quantify global methane emissions from space using EMIT.