以下文章来源于智能车参考 ，作者有车无人 站上新台阶的Waymo明确，当下的业务重心是面向全球扩张，放话"大规模自动驾驶时代已经到来"。 出海，这也是中国Robotaxi玩家萝卜快跑、文远知行和小马智行正在开拓的方向，今年有望看到中美Robotaxi双雄同台竞技。 全球自动驾驶玩家，也将同步Waymo迎来新一轮重估。 Waymo官宣完成160亿美元融资 Waymo通过社交平台官宣，最新一轮融资融了 160亿美元 ，约合人民币 1112.4亿元 ，超越此前三轮融资之和。 智能车参考 . 追踪AI+汽车新进展。量子位旗下汽车频道 一凡 发自 副驾寺 智能车参考 | 公众号 AI4Auto Waymo官宣完成1112亿融资，估值超8760亿元。 特斯拉攻上门的当口，资本市场用真金白银，表达了对Waymo和「Waymo路线」的认可与坚信，托举Waymo一轮融了160亿美元。其中谷 歌被曝豪掷900亿，红杉资本押注，将Waymo估值推上新的高度， 19个月翻了3倍 。 Waymo透露， 最新一轮融资的主要投资者仍然是谷歌 ，领投方还包括红杉资本、Dragoneer Investment Group和DST Global ...

特斯拉（TSLA）周五早盘上涨4.1%。在2025年利润下降46%并停产Model S/X以改造弗里蒙特生产线用 于生产人形机器人后，该公司表示2026年资本支出将增加一倍以上至约200亿美元，用于资助无人驾驶 技术和Optimus机器人。 责任编辑：张俊 SF065 特斯拉（TSLA）周五早盘上涨4.1%。在2025年利润下降46%并停产Model S/X以改造弗里蒙特生产线用 于生产人形机器人后，该公司表示2026年资本支出将增加一倍以上至约200亿美元，用于资助无人驾驶 技术和Optimus机器人。 责任编辑：张俊 SF065 ...

全球首富马斯克的净资产再度刷新历史纪录。 12月21日，随着美国特拉华州最高法院裁定恢复此前被否决的特斯拉天价薪酬方案，特斯拉首席执行官埃隆・马斯克 的净资产飙升至7489亿美元。 与此同时，其旗下太空探索公司SpaceX即将上市的消息，也为市场注入了强劲信心，此前就曾推动马斯克的净资产一 度突破6000亿美元大关。 天价薪酬方案恢复 即便早已稳坐全球首富宝座，马斯克又斩获了一笔巨额 "意外之财"。 特斯拉估值分歧 除此之外，特斯拉无人驾驶还传出利好消息。 基于这一诉讼，2024年1月，特拉华州下级法院裁定该薪酬方案无效。法官凯瑟琳·麦考密克在裁决中明确，马斯克"控 制着特斯拉"，且董事会批准2018年薪酬方案的程序"存在严重缺陷"。 随后，马斯克和特斯拉董事会向特拉华州最高法院提起上诉。直至12月19日，最高法院作出反转裁定，认为下级法院 的裁决"不当且不公平"，才正式恢复了这份薪酬方案。 而随着特斯拉市值飙升至万亿美元级别，这笔期权的当前价值已膨胀至约1390亿美元。 值得注意的是，今年11月6日，特斯拉股东以超过75%的赞成票通过了一项总额达1万亿美元的薪酬方案。 根据该方案，若马斯克能实现里程碑式成就 ...

Core Viewpoint - The establishment of JD Group's Nanjing R&D Center marks a significant milestone in Nanjing's headquarters economy, indicating a shift from quantity accumulation to qualitative leap in the region's economic development [2][4]. Group 1: Headquarters Economy Development - Nanjing has become a preferred location for major tech companies, with over 300 recognized municipal headquarters, more than 60% of which have been established since 2019 [4]. - The completion of JD's Nanjing R&D Center, with a total investment of 3.5 billion yuan and a construction area of over 274,000 square meters, signifies the gathering of major tech giants in the Central Innovation Zone [2][6]. - The "grape cluster effect" is evident as companies like Xiaomi and Alibaba have attracted numerous subsidiaries and ecosystem partners to Nanjing, enhancing the city's economic landscape [9][10]. Group 2: Strategic Importance of Nanjing - JD's Nanjing center will focus on next-generation internet technologies such as artificial intelligence and robotics, positioning it as a strategic hub for the company in East China [6][8]. - Nanjing's economic structure is characterized by a service sector exceeding 60% and a manufacturing sector at approximately 27.8%, highlighting the need for a balanced economic approach [19]. - The city aims to achieve a GDP target of 2 trillion yuan, leveraging its headquarters economy as a core engine for growth and industrial upgrading [24]. Group 3: Innovation and Talent Ecosystem - Nanjing boasts a robust innovation ecosystem with over 9,068 high-tech enterprises and a strong talent base, supported by more than 50 universities and numerous national research platforms [12][13]. - The collaboration between leading companies and local universities aims to cultivate talent that meets industry needs, fostering a deep integration of the talent and industrial chains [15][16]. - The city is shifting its development logic from "industry-driven" to "people-centered," enhancing the quality of life to attract talent and businesses [15].

Alphabet旗下无人驾驶技术公司Waymo发布声明称，2025年至今，其累计出行量已超1400万次，比去年 增长三倍多，并有望在年底前实现累计出行量超2000万次。该公司表示，正为明年在包括东京和伦敦在 内的超20座城市开展网约车业务做准备。(科创板日报) ...

Core Viewpoint - The article emphasizes the critical importance of environmental perception algorithms in ensuring the safety of autonomous driving, highlighting the need for skilled professionals in this field [5]. Group 1: Job Responsibilities - The role involves accurately detecting and locating all objects in the surrounding environment, such as roads, pedestrians, vehicles, and bicycles, to ensure safe driving [5]. - Responsibilities include data processing and multi-sensor data fusion for autonomous driving applications, achieving complex perception functions like multi-target tracking and fine-grained semantic understanding [5]. Group 2: Job Requirements - A solid mathematical foundation is required, particularly in geometry and statistics [5]. - Candidates should possess strong knowledge in machine learning and deep learning, with practical experience in cutting-edge technologies [5]. - Experience in algorithms related to scene segmentation, object detection, recognition, tracking, and BEV perception based on vision or LiDAR is essential [5]. - Strong engineering skills are necessary, with proficiency in C/C++ and Python, as well as familiarity with at least one other common programming language [5]. - Understanding of 3D imaging principles and methods, such as stereo, structured light, and ToF, is required [5]. - A deep understanding of computer architecture is needed to develop high-performance, real-time software [5]. - Candidates should have a passion for innovation and a commitment to creating technology that solves real-world problems [5].

Core Viewpoint - The article emphasizes the critical importance of environmental perception algorithms in ensuring the safety of autonomous driving, highlighting the need for skilled professionals in this field [5]. Group 1: Job Responsibilities - The role involves accurately detecting and locating all objects in the surrounding environment, such as roads, pedestrians, vehicles, and bicycles, to ensure safe driving [5]. - Responsibilities include processing data from machine vision and LiDAR for autonomous driving applications, achieving complex perception functions like multi-target tracking and semantic understanding [5]. Group 2: Qualifications - A solid mathematical foundation is required, particularly in geometry and statistics [5]. - Proficiency in machine learning and deep learning, along with practical experience in cutting-edge technologies, is essential [5]. - Experience in algorithms related to scene segmentation, object detection, recognition, and tracking based on vision or LiDAR is necessary [5]. - Strong engineering skills are required, with expertise in C/C++ and Python, as well as familiarity with at least one other programming language [5]. - Knowledge of 3D imaging principles and methods, such as stereo and structured light, is important [5]. - A deep understanding of computer architecture is needed to develop high-performance, real-time software [5]. - A passion for innovation and creating technology to solve real-world problems is encouraged [5].

Group 1 - China's manufacturing sector is showing three new development characteristics: achieving breakthroughs in the entire chain of technological innovation, transitioning from processing trade to a domestic and international integrated industrial chain, and forming a higher level of openness under the domestic circulation framework [1] - The added value of China's manufacturing industry accounts for nearly 30% of the global total, with significant advancements in ten key manufacturing sectors, achieving "five leading and five parallel" positions [1] - There are three identified shortcomings in China's manufacturing: high resource consumption, low profit margins, and lower total factor productivity compared to developed countries [1] Group 2 - The "14th Five-Year Plan" emphasizes the development of new quality productivity, focusing on strategic emerging industries and future industries, which is expected to drive over one trillion yuan in investment [3] - The plan also highlights the importance of digitalization, intelligence, and green transformation in traditional industries, as well as the rapid development of the productive service sector as a foundation for high-quality manufacturing [3] Group 3 - The Guangdong-Hong Kong-Macao Greater Bay Area is positioned as a crucial driver for China's modernization and deep participation in global governance [10] - The economic scale of the Greater Bay Area has surpassed that of New York and San Francisco Bay Areas, and it is expected to become a leading global economic and innovation center by 2035 [10] - Key initiatives include building a collaborative innovation system, promoting efficient application of technological achievements, and enhancing the international competitiveness of the service sector [11] Group 4 - The development of the autonomous driving industry requires collaboration between government and enterprises, focusing on standards, infrastructure, and data security [9] - The autonomous driving sector has achieved over 10 million kilometers of public road driving during the "14th Five-Year Plan" period, enhancing consumer willingness to engage in offline activities [9] Group 5 - The deep-sea technology sector in China has made significant advancements, transitioning from merely entering the deep sea to possessing important detection capabilities [17] - The development of long-term observation systems is essential to address challenges in deep-sea exploration, with projects like the cold spring ecosystem research facility underway [18]

Group 1 - The article emphasizes that the impact of artificial intelligence (AI) on employment is limited in terms of job replacement but significantly alters the employment structure, creating new types of jobs [1][2] - AI applications in areas like autonomous driving are expected to foster new industries in research, manufacturing, and application, leading to new employment growth points [1][2] - The Chinese government's "Artificial Intelligence+" initiative highlights the importance of integrating AI into various sectors, encouraging the exploration of new service models that combine autonomous and human services [1][2] Group 2 - The integration of autonomous driving with AI, 5G, and big data is seen as a key technological force driving the transformation of traditional industries, leading to high-quality digital industry clusters and more job opportunities [2] - There has been a significant increase in demand for AI-related positions, with job postings for roles such as algorithm engineers and data analysts showing over 100% year-on-year growth [2] - The recruitment demand in the autonomous driving sector is rising, with specific roles like intelligent driving R&D engineers and safety officers becoming highly sought after, often prioritizing candidates with experience in traditional driving roles [2] Group 3 - Systematic training of high-quality talent that meets the new productivity requirements is crucial for the healthy development of the industry, with companies like Luobo Kuaiyun integrating education and research to support the autonomous driving sector [4] - Luobo Kuaiyun is collaborating with universities to establish a talent cultivation system for autonomous driving and AI, providing essential support for the industry [4]

Core Viewpoint - Boleton Technology Co., Ltd. has entered into a strategic cooperation framework agreement with Fujian Rixin Machinery Leasing Co., Ltd. to collaborate in the field of autonomous transportation in mining operations [1] Group 1: Agreement Details - The agreement is based on the principles of complementary advantages and win-win cooperation [1] - The parties intend to engage in long-term strategic collaboration in the autonomous transportation sector [1] Group 2: Company Background - Fujian Rixin is a limited liability company established in the People's Republic of China, primarily engaged in the leasing, sales, and related operational services of engineering machinery [1] - The company has a stable customer base in the mining sector and possesses significant construction experience in Fujian and surrounding areas [1] Group 3: Strategic Implications - This agreement will further promote the company's technology and products in electric engineering equipment and autonomous driving [1] - It aims to expand the group's business in the mining transportation field [1]