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斑马智行首发端侧多模态大模型,推动智能座舱迈入主动智能时代
Xin Lang Cai Jing· 2025-07-31 01:40
机器人送咖啡 从国内汽车市场来看,"大模型上车"逐步从营销驱动迈向场景驱动,AI Agent开始量产上车并带来全新体验,而智能座舱大模型将成为体验跃迁 的关键技术。 在斑马智行展台上,用户可以在搭载元神AI的智己实车上,轻松唤起本地生活Agent,从提出点咖啡需求,到选择规格/口味并最终下单支付,全 程通过自然对话方式进行。现场元神AI咖啡店的机器人将咖啡送到车旁,让用户切实感受到人机共生的生活画面。 斑马智行以场景案例方式,现场展示了基于高通8397的端侧多模态大模型方案:用户流汗上车时,元神AI根据舱内环境、用户状态及动作,主动 打开空调,带来极速清凉或暖风;出行遇到持续拥堵时,元神AI"看到后"会主动推荐歌单,缓解拥堵焦虑。 7月27日,在2025世界人工智能大会期间,斑马智行联合通义及高通首发端侧多模态大模型解决方案,推动汽车智能座舱迈入主动智能时代。 "这是行业首个基于高通8397平台的端侧多模态大模型解决方案,可以通过纯车端方式实现智能座舱90%的'感知-决策-执行'服务闭环。"斑马智行 首席技术官司罗在发布会上表示,基于该方案的端原生智能体可以进行多模态意图感知理解和交互,实现了从"指令接受者" ...
斑马智行联合通义及高通首发端侧多模态大模型解决方案
Zheng Quan Ri Bao· 2025-07-28 04:56
Core Insights - Zebra Network Technology Co., Ltd. (Zebra Smart Travel) launched an edge-based multimodal large model solution in collaboration with Tongyi and Qualcomm, marking a significant advancement in automotive intelligent cockpit technology [1][2] - The solution, based on the Qualcomm 8397 platform, enables 90% of the "perception-decision-execution" service loop to be achieved purely on the vehicle side, enhancing user interaction from a "command receiver" to a "dialogue participant" [1] - The local lifestyle agent, part of the "One Arrow Ten Stars" interactive intelligence released in April, integrates cloud-based large models with edge voice capabilities, currently implemented in the new Zhiji L6 vehicle [1] Industry Trends - The automotive market in China is witnessing a shift from marketing-driven to scenario-driven deployment of large models, with AI agents beginning to be mass-produced and providing new user experiences [2] - The intelligent cockpit large model is identified as a key technology for experiential leaps in the automotive sector, emphasizing the importance of user-centric design and functionality [2]
AI智能体加速走向产业一线助力千行百业实现生产力跃迁
Group 1 - The core viewpoint of the articles highlights the rapid advancement and adoption of AI agents across various industries, with 2025 being seen as a pivotal year for their emergence, and an expectation of over 1 billion AI agents by 2026 [1] - AI agents are being utilized to address common challenges in industries such as textiles, where they enhance the accuracy and speed of fabric inspection, thereby reducing costs and improving efficiency [1] - China Telecom has developed over 80 industry-specific large models and more than 20 AI agent applications, serving over 20,000 industry clients, showcasing the extensive application of AI technology in sectors like industrial, emergency, and education [1] Group 2 - In the office sector, Mido Technology Co., Ltd. launched V Assistant 2.0, a multi-agent collaborative intelligent body for comprehensive public opinion analysis, demonstrating the versatility of AI agents in various applications [2] - AI agents are increasingly being integrated into business processes, particularly in clearly defined task environments, allowing them to take on more routine execution tasks and improve operational efficiency [2] - An example from Belle Fashion Group illustrates the successful implementation of over 800 AI applications across various business nodes, significantly enhancing information connectivity and process automation [3]