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 ...

文 | 创客公社产研组 在南京河西一片约0.4平方公里的区域内，阿里、小米、华为等科技巨头比邻而居。 一幅高能级总部集聚实景图正在这里快速勾勒。 11月24日，随着京东集团南京研发中心正式开工，南京的"总部经济"版图再添一块关键拼图。 这座总建筑面积超27.4万平方米、总投资规模35亿元的总部项目进入实质性建设阶段，也意味着位于南京河西的中央科创区集齐了"四巨头"。 这不仅仅是一个新园区的建设，它更像是一个强烈的信号，标志着南京的总部集聚效应已进入从"量"的积累到"质"的跃升的关键阶段。 京东南京研发中心从签约到开工仅用不到百天，"南京速度"背后，是这座古都在总部经济效应上的强势爆发。 近年来，南京已成为头部科技企业区域总部的首选地之一。一份份重磅投资背后，是科技巨头对南京城市竞争力的真实投票。 截至目前，南京共认定市级总部企业超过300家，其中超六成为2019年以来新增认定。 南京总部经济"基本盘"已现 巨头们的布局，从来都深具战略眼光。 京东此次落子南京，重点围绕人工智能、机器人、无人驾驶等下一代互联网核心技术的研发与应用。 在京东集团公共业务副总裁魏晓晖看来，这并非简单的办公扩容，而是京东立足南京、辐射 ...

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) ...

点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 环境感知算法工程师岗位招聘！感兴趣的可以联系柱哥内推~ 投递邮箱：hongyan.zhi@uisee.com 联系方式：15801273162（同微信，Summer） Base：上海长宁，薪资面议 工作职责： 任职条件： 1. 环境感知能力是保证无人驾驶安全的最为关键和基础的能力。希望你能帮助无人车准确发现和定位周围环 境中的所有道路、行人、车、自行车等物体，为安全行驶保驾护航。 2. 负责面向无人驾驶应用的机器视觉，激光雷达等数据处理和多传感器数据融合，实现多目标跟踪、环境细 粒度语义理解、道路拓扑构建等复杂感知功能。 1. 有扎实的数学基础，精通常见的几何、统计学等。 2. 有扎实的机器学习、深度学习基础知识，有丰富的实战经验，随时跟踪行业内的前沿技术。 3. 有比较丰富的基于视觉或激光雷达的场景分割、目标检测、目标识别、目标跟踪、BEV感知等算法的实战 经验。 4. 有较强的工程能力，精通C / C++和Python语言，以及至少另一种常见编程语言。 5. 熟悉stereo，structured lig ...

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]

Core Viewpoint - Boreton Technology Co., Ltd. has entered into a strategic cooperation framework agreement with Fujian Rixin Machinery Leasing Co., Ltd. to collaborate in the field of unmanned transportation in mining operations, emphasizing complementary advantages and win-win cooperation [1] Company Summary - Boreton aims to promote its technology and products related to fully electric engineering equipment and unmanned driving through this agreement [1] - The partnership is expected to expand Boreton's business in the mining transportation sector [1] Industry Summary - 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, with a stable customer base and construction experience in the mining sector [1]

Core Insights - The 2025 Best Inventions list by TIME includes autonomous driving technology, highlighting its safety and scalability, which is gaining global attention [1] - The competition among the three major players in the autonomous driving sector—Waymo, Tesla, and RoboTaxi—is intensifying, particularly with RoboTaxi's expansion into Europe [1] Group 1: RoboTaxi's Expansion and Achievements - RoboTaxi has accelerated its global rollout in 2023, partnering with Uber and Lyft to deploy thousands of autonomous vehicles across Asia, the Middle East, and Europe [2] - RoboTaxi has received significant regulatory approvals, including the symbolic 001 test license in Dubai and 50 autonomous driving test licenses, establishing the first large-scale testing fleet [2] - The company has expanded its services to 16 cities globally, providing over 14 million autonomous rides and achieving a safe driving distance of over 200 million kilometers, surpassing Waymo's 155 million kilometers [2] Group 2: Waymo's Position and Strategy - Despite trailing RoboTaxi in safety driving distance and international expansion, Waymo has established a significant presence in five major U.S. cities, deploying over 2,000 autonomous vehicles [4] - Waymo's service volume has surpassed that of RoboTaxi, and the company is actively testing in over ten cities, with plans to expand to Miami, Washington D.C., and Dallas [4] Group 3: Tesla's Involvement and Regulatory Environment - Tesla is also expanding its autonomous driving services, having initiated operations in Austin and received approvals to operate in Arizona, Texas, and Nevada [6] - The U.S. government is supportive of the autonomous driving industry, while several developed countries are creating legal frameworks to facilitate the development and commercialization of autonomous driving technology [6] - The competition in the autonomous driving sector is not only a technological race but also a contest of policy innovation and government support, emphasizing the need for domestic companies like RoboTaxi to secure greater policy backing to maintain their technological edge [6]