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使用成本降至三分之一!字节大模型,重磅更新!
证券时报· 2025-06-11 05:31
6月11日,字节跳动旗下火山引擎举办Force原动力大会。会上,豆包大模型家族全面升级,火山引擎发布了豆包大模型1.6、豆包视频生成模型Seedance 1.0 Pro、实 时语音与播客等新模型,并升级了Agent(智能体)开发平台等AI云原生服务。除了主论坛外,本次大会还将举办多场从技术革新到行业场景落地的分论坛,涉及 芯片、汽车、智能终端、软件应用等领域的众多企业合作伙伴。 综合来看,本次大会的核心关键词有三个,分别是性能升级、成本下降、应用普惠。性能升级上,权威测评成绩显示,豆包1.6—thinking的表现已跻身全球前列; 成本下降上,豆包1.6首创按"输入长度"区间定价,使综合使用成本降至豆包1.5深度思考模型的三分之一;AI普惠上,在性能与成本的双重加持下,有望加速智能体 的大规模应用落地。 豆包大模型1.6发布,性能跻身全球前列 会上,最受关注的当属豆包大模型1.6系列的重磅发布。 豆包大模型重磅升级,并推出创新性的"区间定价"模式,打响了一场平衡成本与性能的"价值战"。 其中,豆包1.6是全功能综合模型,支持256K长上下文,能够自适应思考(即自动判断是否开启深度推理);豆包1.6—think ...
专访|让AI智能体真正“看懂”世界——访德国弗劳恩霍夫研究所数据专家
Xin Hua She· 2025-06-11 02:53
新华社柏林6月10日电 专访|让AI智能体真正"看懂"世界——访德国弗劳恩霍夫研究所数据专家 措恩指出,要实现更高程度的自主能力,AI智能体所依赖的基础模型必须具备接收并理解其所处环境 的能力,尤其是在涉及现实任务的场景中。"系统要在真实世界中运行,首先得真正'看懂'这个世 界。"他说,将高精度的三维场景数据与多路传感器数据输入模型,以便其在空间中进行推理和判断, 是当前人工智能研究的前沿方向之一,但这项工作仍面临诸多挑战。 "目前的大语言模型本质上是为处理文字而设计的,擅长语言理解与生成。"措恩说,"而来自现实世界 的感知数据,比如三维点云,只是一些无序的坐标集合,并不自带语义结构。"他表示,要让模型真 正"理解"这些数据,必须开发新的数据表示方式和训练机制,将"非语言"信息转化为模型能够真正识别 和处理的形式。 措恩还谈到了AI智能体应用过程中最本质的问题——信任。他认为,AI智能体之所以能够获得用户信 任,关键在于其决策路径具有高透明性和可审查性。与单一语言模型不同,AI智能体会将复杂问题拆 解为多个明确的小任务,每一步都有清晰的逻辑和执行过程,更容易被理解和验证。 "用户可以清楚看到智能体是如何逐步推 ...
未知机构:【公告全知道】创新药+机器人+AI智能体+脑机接口!公司参与设立新产品战略相关基金主要投资于创新药等领域-20250611
未知机构· 2025-06-11 01:55
【公告全知道】创新药+机器人+Al智能体+脑机接口! 公司 参与设立新产品战略相关基金主要投资于创新药等领域 公告全知道 2025.06.10 22:08 星期二 九州通:2024年全年每10股派2元 股权登记日为6月16日 九州通(600998.SH)公告称, 公司2024年年度权益分派方案已通过股东会审议。方案包括A股每股派发现金红利0.20元(含 税),股权登记日为2025年6月16日,除权(息)日为2025年6月17日,现金红利发放日也为2025年6月17日。公司回购专户中 的股份不参与本次利润分配。差异化分红送转方案显示,公司以权益分派股权登记日登记的总股本扣除回购专户股份为基数,向 全体股东每10股派发现金红利2.00元(含税)。 点评:资料显示,九州通是行业领先的科技驱动型的全链医药行业综合服务商,公司的主营业务涵盖医药流通、医药新零售、医 药工业、医药CSO等业态,包括数字化医药分销与供应链业务、总代品牌推广业务、医药工业自产及OEM业务、新零售与万店 加盟业务(C端)、医疗健康(C端)与技术增值服务、数字物流与供应链解决方案六大方面。公司是国内最大的民营医药商业 企业,也是行业内首家获评5A ...
对话创世伙伴创投周炜:未来大模型巨头最多不超过3家 | 科创100人
Xin Lang Ke Ji· 2025-06-11 00:58
嘉宾:创世伙伴创投创始主管合伙人 周炜 当下,AI与机器人赛道正经历从底层技术突破到应用落地的关键转折期。作为创世伙伴创投的创始主 管合伙人,周炜以其技术出身的背景和跨越互联网、硬科技多轮周期的投资经验,对行业趋势有着独到 判断。 近日周炜与新浪科技《科创100人》栏目对话。在对话中,周炜表示,大模型行业正经历残酷洗牌,但 惨烈程度远不及当年的电商大战。未来可能仅存1-3家真正的大模型巨头,而无法跻身头部的企业将转 向垂直领域发展。周炜还谈到,真正的技术价值在于解决实际问题,呼吁投资者更关注AI应用层而非 盲目追逐底层技术热潮。 文 | 新浪科技 徐苑蕾 期数:No.74 谈及当下风险投资机构的退出机制,周炜指出,并购仍是最主要的退出方式,而IPO则象征企业进 入"成年阶段",健康的二级市场对于投资机构的退出同样至关重要。周炜坦言,近年来,中国企业上市 数量减少,导致当前资本市场面临"堰塞湖"困境,亟需疏通退出通道以维持创投生态的良性循环。 谈大模型竞争:行业分化是必然趋势 近两年,大模型行业经历了一轮显著的洗牌,许多公司因商业化困难、资金链断裂或竞争压力倒闭或寻 求收购。行业呈现"强者愈强"的马太效应,随着 ...
小米汽车辟谣驾培伤亡,理想汽车设立机器人部门 | 汽车早参
Mei Ri Jing Ji Xin Wen· 2025-06-10 23:26
Group 1 - Xiaomi Auto refutes rumors regarding accidents during advanced driving training, emphasizing the importance of the training despite potential risks, and plans to take legal action against those spreading false information [1] - BYD and Alibaba Cloud deepen their collaboration by integrating the Mobile-Agent AI into BYD's vehicle system, enhancing user interaction and driving experience through voice commands [2] - Li Auto establishes two new divisions focused on "space robots" and "wearable robots," indicating a strategic upgrade in its AI initiatives aimed at improving user experience and potentially expanding into the wearable technology sector [3] Group 2 - BMW plans to restart the development of its range extender (REx) system, with the first model expected to be the sixth-generation X5, addressing market demands for extended range and charging infrastructure challenges [4] - Youjia Innovation secures a key project with Changan Automobile for an auxiliary driving domain controller, enhancing its competitive edge in the smart driving sector and contributing to the development of intelligent driving ecosystems [5]
氪星晚报 |扎克伯格为Meta新 “超级智能”AI团队招聘人员;马斯克:SpaceX今年的收入将达到155亿美元;由微软支持的人工智能实验室Mistra...
3 6 Ke· 2025-06-10 11:00
36氪获悉,劲仔食品在互动平台表示,公司部分创新升级产品已进入胖东来系统,目前销售情况良好。 扎克伯格为Meta新 "超级智能"AI团队招聘人员 大公司: 劲仔食品:公司部分创新升级产品已进入胖东来系统 Meta平台首席执行官马克・扎克伯格正在组建一个专家团队,以实现所谓的 "通用人工智能"(AGI), 即能力可匹敌或超越人类的机器。彭博援引消息人士称,扎克伯格在组建这支新AI团队的同时,计划 向Scale AI投资超100亿美元,并补充称,交易完成后,Scale AI创始人亚历山德・王预计将加入该AGI 团队。路透社未能立即核实彭博的报道。Meta在正常工作时间外未立即回应置评请求。(新浪财经) Uber、Wayve宣布计划在伦敦进行无人驾驶汽车测试 Uber、英国初创公司Wayve宣布计划在伦敦进行无人驾驶汽车测试。(智通财经) 天康生物:5月生猪销售收入3.45亿元,同比下降19.95% 越南电动车商VinFast一季度交付量同比大增296%,净亏损近7.12亿美元 越南电动车商VinFast当地时间6月10日公布一季度经营业绩,共交付36330辆电动汽车,同比增长 296%,超过去年上半年交付总量。一 ...
售41.87万元起,2025款奥迪A7L上市;阿里云与比亚迪合作,Mobile-Agent将接入比亚迪座舱丨汽车交通日报
创业邦· 2025-06-10 10:26
1.【极氪公布车辆防追尾提示专利,可缓解驾驶紧张情绪】天眼查财产线索信息显示,6月10日,浙江极氪智能科技有限公司、浙江吉利控股集团有限公司 申请的"车辆防追尾的提示方法及其系统及车辆"专利公布。摘要显示,该方法包括:获取当前车辆的实际车速;获取当前车辆与其在同一车道上相邻的前 方车辆的实时车距;以及基于当前车辆的实际车速及与其前方车辆的实时车距,来控制位于当前车辆后方的显示装置进行相应的动态显示,以给后方车辆进 行相应的提示作用。本申请能够给予后方车辆提醒当前车辆和其前方车辆的安全间隙变化,给后方车辆刹车留有预判时间,缓解驾驶紧张情绪。(每经网) 2.【阿里云与比亚迪合作,Mobile-Agent将接入比亚迪座舱】6月10日消息,阿里云官微表示,比亚迪与阿里云一直保持着深度合作,已在多个业务场景 广泛应用通义大模型。据悉,阿里云AI智能体Mobile-Agent将在比亚迪车机完成对阿里生态App的操控,与比亚迪智能语音团队的AI智能体联动。 Mobile-Agent采用全视觉解决方案,基于比亚迪开放座舱应用生态与AI对话系统,结合Qwen-VL的视觉识别、推理能力构建多模态智能体,可实现对座 舱屏幕智能感知 ...
让科研人员不再做牛马!斯坦福大学华人团队打造首个通用生物医学AI智能体,从设计实验、数据分析到药物发现全自动搞定
生物世界· 2025-06-10 08:21
2025 年 6 月 2 日, 斯坦福大学 黄柯鑫 、 Serena Zhang 、 王瀚宸 、 屈元昊 、 陆荧洲 等研究人员领衔的团队,联合 Genentech、Arc Institute、 加州大学 旧金山分校及 普林斯顿大学等 多个顶尖研究机构,发布了一款 通用生物医学 AI 智能体 —— Biomni ,该智能体能够自主完成横跨遗传学、基因组学、微生物 学、药理学和临床医学等多个生物医学分支领域的复杂研究任务 。 Biomni 的诞生标志着 AI 在生物医学研究中从"工具使用者"向"自主决策者"的跃迁 。通过将分散的科研资源整合为可操作的 智能体行为单元 ,不仅破解了传统 研究流程的碎片化瓶颈,更可能催生跨学科、高通量的自主 化科学发现引擎 。 该研究以: Biomni: A General-Purpose Biomedical AI Agent 为题,发表在了预印本平台 bioRxiv 上,研究团队在 biomni.stanford.edu 开放免费注册和使用 编辑丨王多鱼 排版丨水成文 生物医学研究是增进人类对健康和疾病的理解、推动药物研发以及提升临床护理水平的基础。 然而,在生物医学实验室中, ...
国脉科技(002093) - 002093国脉科技投资者关系管理信息20250609
2025-06-10 06:16
Group 1: Company Strategy and Developments - The company plans to actively research and participate in the application for the intelligent elderly care service robot pilot program issued by the state, aligning with its capabilities in IoT technology and AI products [2] - The AI intelligent body based on home care scenarios will be launched on June 26, 2025, at 3 PM [3] - The "Guomai Coin" serves as an incentive mechanism connecting the AI intelligent body and physical services, encouraging user participation in health and elderly care activities [3] Group 2: AI Intelligent Body Features - The company will release three types of AI intelligent bodies focusing on engagement, daily living support, and health management [4] - Unlike generic intelligent bodies, the company’s AI intelligent body is designed to be a "professional type," providing integrated services from perception to execution [4] - The AI intelligent body will first be implemented in the "Guomai University Elderly Care" community to ensure optimal user experience before broader promotion [4] Group 3: Market Insights - By the end of 2024, the elderly population aged 60 and above in China is projected to reach 310 million, accounting for 22% of the total population, with home care being the dominant choice at approximately 90% [5] - The "Guomai University Elderly Care" project integrates IoT technology and AI to create a precise health management solution, emphasizing lifelong learning and intergenerational communication [6] Group 4: Financial Performance - In 2024, the company achieved its best historical performance with a net profit growth of 61% year-on-year [7] - In Q1 2025, the company continued its strong growth trajectory, with a net profit increase of 55% year-on-year and a 345% quarter-on-quarter growth [7] Group 5: Educational Initiatives - The company operates Fuzhou University of Technology, which has nearly 14,000 students enrolled as of the end of 2024, with expectations for continued growth in student numbers [10]
微软要做的智能体网络是什么
Tai Mei Ti A P P· 2025-06-10 04:09
Core Insights - Microsoft emphasizes the necessity of AI integration for companies to thrive, with 84% of Chinese market leaders considering this year crucial for rethinking core strategies and operations [2] - The launch of the Open Agentic Web at Microsoft Build 2025 aims to establish a new paradigm of human-machine collaboration [2][5] - The adoption of intelligent agents is rapidly increasing in China, with 57% of leaders reporting their organizations are using "intelligent agents" for full automation of workflows [2] Group 1: Intelligent Agent Network - Microsoft's intelligent agent network is built on MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol), facilitating vertical integration of data and models [3] - MCP protocol, proposed by Anthropic in 2024, ensures accurate data flow to models for precise analysis and decision-making [3] - A2A protocol, introduced by Google in April 2025, enables efficient task allocation among different intelligent agents based on their capabilities [4] Group 2: Competitive Landscape - Microsoft positions itself as a "capability transformation platform," with tools like Copilot Studio and Azure AI Foundry supporting the development of intelligent agents [5] - Compared to competitors like OpenAI, Google, and Meta, Microsoft focuses on creating an open ecosystem for developers to build intelligent agents more agilely [5] - 70% of Fortune 500 companies currently utilize Microsoft's intelligent agent solutions, highlighting its market penetration [6] Group 3: Future of Work - Microsoft envisions a future where every individual can act as a "CEO" of intelligent agents, managing tasks autonomously [7] - The introduction of intelligent agents has significantly improved operational efficiency, with customer service efficiency increasing by 31% [7] - The HR onboarding process can see a tenfold efficiency increase through the automation of tasks by intelligent agents [7] Group 4: Evolution of Intelligent Agents - Microsoft outlines a three-stage evolution model for intelligent agents, transitioning from tools to digital colleagues, and finally to autonomous operators [10] - In the 1.0 stage, tools like Copilot assist employees in document generation and information summarization [10] - The 2.0 stage sees intelligent agents acting as digital colleagues, while the 3.0 stage allows employees to focus on strategic planning as agents autonomously manage workflows [10] Group 5: Market Trends - The intelligent agent application in China is characterized by diverse interaction modes, varied model choices, and advancements in application levels [9] - Local enterprises are demonstrating strong momentum in intelligent agent applications, with significant improvements in operational efficiency [9] - The competitive landscape in the intelligent agent sector is intensifying, with major tech companies leveraging their existing ecosystems to establish a foothold [9]