Group 1 - Google and its parent company Alphabet are focusing on redefining the search experience by transitioning from traditional search to an AI-driven intelligent assistant that anticipates user needs [3][6] - CEO Sundar Pichai emphasized the importance of Google's long-term investments in infrastructure, such as self-developed TPU chips and large-scale data centers, which provide a competitive edge in AI model training and deployment [3][6][13] - The company is exploring the future of human-computer interaction, highlighting the shift towards voice, image, and multimodal inputs that are reshaping hardware and product interfaces [3][18] Group 2 - Pichai addressed concerns about whether Alphabet is still seeking the next billion-dollar business, stating that the focus is on maintaining innovation and leadership in an AI-dominated technology cycle [4][6] - The company has seen significant growth, with quarterly revenue increasing from $20 billion to nearly $100 billion, and is positioned to leverage AI for further opportunities [6][10] - Google is testing a new AI-driven search experience called "AI Mode," which allows for conversational queries and has already seen a significant increase in user engagement [7][9] Group 3 - Pichai noted that Google's infrastructure is designed to provide high performance and cost efficiency, allowing the company to offer advanced AI services at competitive prices [13][14] - The company plans to invest $70 billion in capital expenditures, focusing on servers and data centers to support AI infrastructure and model services [14] - Google is committed to maintaining a dual approach by using both its TPU chips and NVIDIA GPUs for AI tasks, ensuring flexibility and efficiency in its operations [15] Group 4 - The company is actively investing in next-generation hardware, including AR glasses and robotics, to enhance its product offerings and explore new computing platforms [19][25] - Pichai believes that the integration of AI and robotics is approaching a breakthrough, with significant advancements expected in the next few years [27][28] - Google is also focused on building a robust ecosystem for AI, leveraging its existing services like YouTube and Google Cloud to create a comprehensive AI product ecosystem [9][31] Group 5 - Pichai highlighted the importance of energy resources for AI development, acknowledging that power supply limitations are currently affecting Google's cloud computing business [22][24] - The company is exploring various energy solutions, including solar and nuclear power, to address future energy demands for AI [23][24] - Google has a long-term strategy of investing in emerging technologies, such as quantum computing and AI, to ensure sustained growth and innovation [25][26]

几乎所有伟大的创业都源于一个愿景。 1975年，比尔 ・ 盖茨和保罗・艾伦创立微软时，他们希望计算机能摆上每一张桌子，进入每一个家庭。愿景驱动下，微软在其后几十年里推动了 计算机产业变革，引领信息革命。比尔 ・ 盖茨五十年前的想法在今时今日早已成现实。 点击图片▲立即试听 对话 / 吴晓波 × 冯森 整理 / 巴九灵（微信公众号：吴晓波频道） 于乐播投屏创始人冯森而言，其愿景是实现 "万屏互联"，各种信息能在不同屏幕间无缝流转，并以此连接人类生活中的万事万物。 这一愿景的灵感，源自美国康宁公司在 2011 年 2 月发布的一条极具科幻想象力的宣传片 ——《A day made of glass》。康宁玻璃是一家世界领 先的玻璃显示屏技术企业，华为、三星等众多品牌电子设备的屏幕，皆采用其产品。 视频中，透明显示屏的应用场景令人印象深刻：厨房里，透明显示屏从冰箱门顺滑延展至橱柜，家庭成员轻滑屏幕，便能查看冰箱内食材保质期， 还能调出菜谱；客厅里，孩子一挥手就能将平板游戏投屏放大，与小伙伴沉浸式玩耍；办公室内，人们通过简单操作就能将内容投屏到会议屏幕。 从家庭、办公到交通、户外，各类触摸显示屏无处不在，而投屏技术则 ...

今 晚1 9:0 0 ，吴老师将对话 乐播科技CEO冯森 ， 现场演示智能体与屏幕的互动连接模式， 并带来一场关于"屏与未来"的深度探讨。 他们将重点探讨以下话题： 点击按钮▲ 预约直播 文 / 巴九灵（微信公众号：吴晓波频道） 从OpenAI的GPT-4o到国内DeepSeek等大语言模型的快速迭代，AI正以令人目不暇接的速度深 入我们生活的每一个角落。 在人工智能飞速发展的今天，我们正在见证人与屏幕交互方式的巨大跃迁——从触摸、遥控， 到语音、自然语言的实时对话。你有没有想过，家里那台电视、办公室里的大屏，也许正站在 成为"超级入口"的门槛上？ 从电视到手机，从办公到教育，投屏正在成为连接人与数字世界的"隐形桥梁"。而随着AI技术 的爆发，这块"屏"的价值将被彻底重构。屏幕背后，潜藏着一个被低估的市场——投屏技术。 4. 作为占据中国百分之九十多投屏市场份额的"隐形冠军"，乐播科技如何用10年时间构建 起 20亿屏幕的 连接生态？ 5. 茫茫创业者拼了命往前冲，有人努力有了成果，有人再努力也没结果，差别在哪里？ 在直播间，冯总还为吴晓波频道粉丝准备了3个月乐播投屏企业会员的免费体验福利。 5亿台电视、16 ...

Core Insights - Fourier emphasizes its focus on health and wellness as it celebrates its tenth anniversary, announcing a new strategic direction and partnerships to enhance its presence in the rehabilitation and elderly care sectors [1][9] - The company has developed various robots, including the Fourier M2 and Fourier N1, and has explored multiple practical applications in hospitals, community health centers, and nursing homes [1][9] Group 1: Company Strategy and Developments - Fourier has launched a ten-year strategy focused on health and wellness, collaborating with Shanghai International Medical Center to create a demonstration base for embodied intelligent health care [1][9] - The company has signed a strategic cooperation agreement to establish a humanoid robot innovation center, aiming to advance the application of embodied intelligence in rehabilitation and medical settings [1][9] - Fourier's robots have been deployed in over 3,000 medical institutions, indicating a significant accumulation of data and practical experience in various scenarios [9] Group 2: Interaction and User Experience - The concept of "interaction" is central to Fourier's approach, as rehabilitation and elderly care require extensive user engagement [2][3] - Challenges in human-robot interaction have been identified, particularly regarding the usability of robots for elderly users, which affects the likelihood of repeat purchases by care institutions [3][4] - Fourier's Fourier X1 rehabilitation robot utilizes force feedback technology to enhance user interaction by recognizing walking intentions and adjusting gait trajectories accordingly [3][4] Group 3: Market Dynamics and ROI - The return on investment (ROI) for health care robots is being reevaluated, with effectiveness in improving patient outcomes and quality of life becoming a new standard [5][6] - The introduction of international standards for elderly care robots is expected to streamline certification processes, facilitating faster deployment in real-world settings [6][9] - The elderly care market is seen as a promising area for growth, with a strong willingness to pay and a complex environment that provides ample data for machine learning [9][10] Group 4: Competitive Landscape - The robotics sector is experiencing rapid growth, with investment in the field increasing significantly from 2019 to 2023, indicating heightened competition [10] - As more players enter the market, Fourier must demonstrate effective functionalities in specific scenarios, such as long-term companionship and targeted treatment plans, to solidify its market position [10]

Core Viewpoint - The company Fourier aims to focus on human-centered embodied intelligence in the next decade, emphasizing the importance of human-robot interaction and the development of robots that can understand and cooperate with humans in complex environments [2][10]. Group 1: Company Background and Development - Fourier was founded in 2015 in Zhangjiang, starting with rehabilitation robots, with its first product being an exoskeleton robot [5]. - The company has developed full-sized humanoid robots GR-1 and GR-2, and recently launched a smaller humanoid robot, Fourier N1, which includes an open-source resource package and basic operational software code [8]. Group 2: Future Directions and Focus Areas - The future direction will focus on rehabilitation scenarios, enhancing the naturalness and friendliness of human-robot interaction, and improving the robots' autonomous execution efficiency [9]. - The company aims to integrate interaction experience with motion functions and provide stable, open hardware support [9]. Group 3: Achievements and Collaborations - Fourier has entered over 3,000 hospitals globally and has developed over 30 rehabilitation robot products, establishing a professional team for operation and medical support [11][13]. - The company has launched the Galileo system for quantifying human movement and rehabilitation, with deployments in various hospitals and the first overseas delivery in Malaysia [15][16]. Group 4: Technological Innovations and Partnerships - Fourier collaborates with NVIDIA to explore imitation learning and generalization training, deploying NVIDIA's humanoid robot open base model on its robots [21]. - The company has partnered with SenseTime to enhance language interaction capabilities in robots and with Apple's robotics team to validate gesture generation and non-verbal communication [23]. Group 5: Philosophical Foundation - The name "Fourier" is inspired by the mathematician Fourier, whose transformation theory suggests that complex signals can be decomposed into simple sine waves, reflecting the company's mission to decode the complexities of life through robotics [25][26].

Group 1 - The core viewpoint of the article highlights the strategic focus of Shou Cheng Holdings on the robotics sector, emphasizing long-term investment and growth alongside quality enterprises rather than seeking short-term exits [2][3] - The chairman of Shou Cheng Holdings, Zhao Tianyang, stated that the current value of the fund has increased over three times, with some projects achieving returns as high as ten times [2] - Zhao Tianyang predicts that the robotics industry will require time to mature, particularly for humanoid robots to enter household scenarios, which may take 5-10 years, while large-scale applications in disaster relief and industrial automation are expected within the next 3-5 years [2] Group 2 - Shou Cheng Holdings plans to invest in over ten selected robotics companies annually through its fund platform in the next 2-3 years, focusing on three main areas: specialized robots for vertical innovations in fields like healthcare and industry, core supply chain technologies such as joint modules and sensors, and consumer-grade robots for emotional companionship and household services [3] - The company aims to become an ecological platform that deeply integrates technology with various scenarios, leveraging its real estate assets and fund-held infrastructure to create natural environments for robot applications and data collection [3] - This integration is described as a mutually empowering process, where the introduction of robots enhances the level of intelligence in existing spaces while providing broader application platforms for the robots themselves [3]

Group 1 - The article reviews seven selected papers published in the International Journal of Robotics Research, covering various research directions in robotics such as soft actuators, human-robot interaction, dual-arm robots, multi-robot systems, and bipedal locomotion control [1][6][18][27][38][48][58] Group 2 - A new low-profile soft rotary pneumatic actuator was designed, addressing the limitations of traditional soft pneumatic actuators in confined spaces and providing a compact solution for applications in wearable devices and biomedical devices [2][4] - The THÖR-MAGNI dataset was introduced to overcome data bottlenecks in social navigation and human-robot interaction, featuring multi-modal data collection and extensive scene coverage [6][11][14] - The FMB benchmark was developed to standardize robotic manipulation research, offering a diverse set of objects and a modular framework for imitation learning [18][20][24][26] - A framework for dual-arm robots to manipulate deformable linear objects in constrained environments was proposed, achieving high success rates in complex tasks [27][30][31][34] - A real-time planning method for large heterogeneous multi-robot systems was introduced, significantly improving computational efficiency and robustness in dynamic environments [38][40][45] - A survey on communicating robot learning during human-robot interaction highlighted the importance of a closed-loop communication framework to enhance collaboration [48][50][53][55] - Reinforcement learning was applied to bipedal locomotion control, demonstrating significant advancements in adaptability and robustness in complex environments [58][60][62]

· 大会简介 当今世界，人工智能（AI）和人机交互（HCI）的重要性日益昭著，二者结合亦是大势所趋。继2023年首届成功举办后 第三届人工智能和人机交互国际学术会议（ArtInHCI2025）将于2025年10月21-23日在中国广西南宁举办。会议旨在为全 球的专家、学者和企业提供一个交流平台，分享最新的研究成果、技术创新以及面临的挑战。 本届会议的主题包括但不限于：人工神经网络、机器学习与深度学习、语音识别合成和自然语言处理、计算机视觉与图像 处理、人机交互的未来发展、智能机器人应用与技术等。会议还设置了主题报告、特邀报告、口头报告、海报展示等丰富 环节，以便与会者更深入地交流和合作 。 会议主席团 | 会议主席 | Chair | | | --- | --- | --- | | | | 叶娅兰教授 | | | | 电子科技大学 | | | | 研究领域：计算机视觉、图像处理、深度学习、迁移学习、生物医学信号处 | | | | 理、人机混合智能、多模式人机交互 | | | | 周挥宇教授 | | | | 英国莱斯特大学计算与数学科学学院 | | | | 研究领域：机器学习及人工智能、数据挖掘、计算机图形图像 ...

Group 1 - BMW China announced the integration of DeepSeek, enhancing its AI ecosystem and improving human-machine interaction in new models starting in Q3 2025 [1] - The partnership with Alibaba aims to boost product competitiveness and provide consumers with a stronger smart experience, potentially driving innovation in the high-end automotive sector [1] Group 2 - Nissan plans to close its Wuhan factory by March 31, 2026, due to low production capacity utilization, with only 10,000 units produced since its opening in 2022 [2] - Despite the closure, Nissan will invest $1.4 billion in China and launch around 10 new electrified models by 2027, indicating a commitment to transformation [2] Group 3 - Bosch and Remote have upgraded their strategic partnership to focus on comprehensive collaboration in hydrogen and electric technologies, aiming to develop a hydrogen-electric ecosystem [3] - The first batch of 1,000 new energy commercial vehicles developed jointly will be launched in domestic and international markets in the second half of this year [3] Group 4 - Ford has suspended exports of SUVs, pickups, and sports cars to China due to a significant increase in import tariffs, affecting approximately 5,500 vehicles in 2024 [4] - The decision reflects the challenges faced by American automakers due to retaliatory tariffs, impacting market share and brand perception in China [4] Group 5 - Volkswagen will maintain vehicle prices in the U.S. until the end of May, addressing concerns over rising costs due to tariffs and high inflation [5] - This decision aligns with strategies from other automakers to alleviate consumer purchasing pressure in a high-interest-rate environment [5]

" AI 其实不是真的在创造，而是把人的创造能力更低成本地复制。" "谁能成功地让人类和工具（特别是 AI ）实现高效协作，谁就能拥有源源不断的商业机会。" "内容的真正控制者，并非创作者，而是平台，它们决定了内容的生产、传播以及是否上架。" 今天上午，特赞科技创始人范凌博士在混沌的直播课上这样讲到。 范凌博士的课程实际上也回答了大模型爆火之后的几大争议： AI 会不会取代人的工作？ AI 生成的低质内容会不会有损高端品牌形象？ 来自 AI 的信息和数据是否可靠？ 品牌增长应不应该用 AI 做矩阵号？ …… 以下内容根据部分课程内容整理： 授课老师 | 范凌 特赞科技创始人 &CEO 我们在最卷的行业里 AIGC 我是全职创业者，也是全职教师。我的父母都是艺术家，而我自己则是理工科出身。所以我有一颗艺术的 心，有一个工程的脑。如何将心与脑的距离拉近？早在经营公司之前，我就每天都在思考这件事儿，它像 是我的一个人生使命。 创业前，我在美国伯克利大学教授人机交互。那时，人机交互与人工智能似乎是对立的两种思想。人工智 能的目标是创造一台可以取代人类的机器，而人机交互则认为人 + 机器可以完成人类和机器都做不了的事 ...