Arbe and Sensrad Sign Support and Maintenance Agreement for High-Resolution 4D Imaging Radar Program TEL AVIV, Israel, July 29, 2025 /PRNewswire/ -- Arbe Robotics Ltd. (Nasdaq: ARBE) (TASE: ARBE), a global leader in perception radar solutions, today announced that Sensrad, a leading radar Tier-1 supplier based in Sweden, has begun delivering its first radar series powered by Arbe's chipset to customers. These radars are destined for deployment in a defense sector autonomous off-road vehicle application and ...

Core Insights - WeRide and Uber have launched their Robotaxi service in Al Reem and Al Maryah Islands, aiming to double ride volumes and cover half of Abu Dhabi's core areas [1][4][5] Company Developments - The Robotaxi fleet has tripled in size since its launch in December 2024, with plans to expand to hundreds of vehicles in Abu Dhabi [4][5] - WeRide's GXR model is a mass-produced autonomous vehicle designed for commercial deployment, accommodating up to five passengers [3][9] - The service is expected to average dozens of trips per vehicle per day, with rides typically exceeding six kilometers [3] Industry Impact - The expansion into high-demand areas like Al Reem and Al Maryah Islands aligns with Abu Dhabi's vision for a smarter mobility system, enhancing the transport experience for residents [6][7] - The deployment of autonomous vehicles is part of a broader strategy to provide sustainable and innovative mobility solutions in the region [6][11] - Fully driverless testing of WeRide's Robotaxis is currently underway, with public access anticipated in the near future [8]

Core Viewpoint - The article emphasizes the establishment of a leading communication platform for autonomous driving technology in China, focusing on industry, academic, and career development aspects [1]. Group 1 - The platform, named "Autonomous Driving Heart," aims to facilitate discussions and exchanges among professionals in various fields related to autonomous driving technology [1]. - The technical discussion group covers a wide range of topics including large models, end-to-end systems, VLA, BEV perception, multi-modal perception, occupancy, online mapping, 3DGS, multi-sensor fusion, transformers, point cloud processing, SLAM, depth estimation, trajectory prediction, high-precision maps, NeRF, planning control, model deployment, autonomous driving simulation testing, product management, hardware configuration, and AI job exchange [1]. - Interested individuals are encouraged to join the community by adding a WeChat assistant and providing their company/school, nickname, and research direction [1].

Core Insights - The article discusses the implementation of the LLaMA Factory framework for fine-tuning large models in the context of autonomous driving, utilizing a small dataset of 400 images and a GPU 3090 with 24GB memory [1][2]. Group 1: LLaMA Factory Overview - LLaMA Factory is an open-source low-code framework for fine-tuning large models, gaining popularity in the open-source community with over 40,000 stars on GitHub [1]. - The framework integrates widely used fine-tuning techniques and is designed to facilitate the training of models suitable for visual-language tasks in autonomous driving scenarios [1]. Group 2: Qwen2.5-VL Model - The Qwen2.5-VL model serves as the foundational model for the project, achieving significant breakthroughs in visual recognition, object localization, document parsing, and long video understanding [2]. - It offers three model sizes, with the flagship Qwen2.5-VL-72B performing comparably to advanced models like GPT-4o and Claude 3.5 Sonnet, while smaller versions excel in resource-constrained environments [2]. Group 3: CoVLA Dataset - The CoVLA dataset, comprising 10,000 real driving scenes and over 80 hours of video, is utilized for training and evaluating visual-language-action models [3]. - This dataset surpasses existing datasets in scale and annotation richness, providing a comprehensive platform for developing safer and more reliable autonomous driving systems [3]. Group 4: Model and Dataset Installation - Instructions for downloading and installing LLaMA Factory and the Qwen2.5-VL model are provided, including commands for cloning the repository and installing necessary dependencies [4][5][6]. - The CoVLA dataset can also be downloaded from Hugging Face, with configurations to speed up the download process [8][9]. Group 5: Fine-tuning Process - The fine-tuning process involves using the SwanLab tool for visual tracking of the training, with commands provided for installation and setup [14]. - After configuring parameters and starting the fine-tuning task, logs of the training process are displayed, and the fine-tuned model is saved for future use [17][20]. Group 6: Model Testing and Evaluation - Post-training, the fine-tuned model is tested through a web UI, allowing users to input questions related to autonomous driving risks and receive more relevant answers compared to the original model [22]. - The original model, while informative, may provide less relevant responses, highlighting the benefits of fine-tuning for specific applications [22].

人工智能： 其他： 1. 阿里云：通义万相2.2正式开源。 2. 智谱发布首款SOTA级原生智能体大模型。 3. 上海：发放6亿元算力券，降低智能算力使用成本。 4. 微软在Edge加入AI Agent，自动化搜索、预测、整合 5. Anthropic：从8月28日起，将为Claude Pro和Max推出新的每周使用限制。 金十数据整理：每日科技要闻速递（7月29日） 1. 美商务部酝酿专利新收费机制：按专利总价值1%-5%收取。 2. 三星与特斯拉达成165亿美元芯片供应协议，将在美国生产AI6芯片。 3. 抖音：网传"员工离职后被字节跳动随意取消期权"与事实不符。 4. 工信部：巩固新能源汽车行业"内卷式"竞争综合整治成效。 5. 上海市经信委：争取年内实现浦东除陆家嘴外全域开放自动驾驶。 6. 上海智能网联汽车示范运营牌照发放，文远知行等8家公司为首批获准企业。 7. 2025世界智能网联汽车大会将于10月16日至18日召开，多款自动驾驶系统车辆将亮相现场。 ...

Group 1 - Waymo plans to launch a robotaxi service in Dallas next year, expanding its commercial operations which already include Los Angeles and San Francisco [1][6] - The company is partnering with Avis Budget Group to manage its fleet of all-electric autonomous Jaguar I-Pace vehicles, with Avis handling depot operations such as charging and maintenance [1][2] - Waymo has previously partnered with companies like Uber and Moove, but this marks the first collaboration with a rental car company, indicating a potential for future expansions to other cities [2] Group 2 - Waymo has conducted preliminary testing in Dallas, including mapping the city and testing autonomous vehicles on public roads with a human safety operator [3] - The fleet is expected to scale to hundreds of vehicles over time, although specific launch dates and initial fleet size have not been disclosed [4] - Waymo currently operates commercially in five cities and plans to launch services in Washington, D.C., and Miami next year [6]

Core Insights - WeRide has received Saudi Arabia's first Robotaxi autonomous driving permit, making it the only technology company with such permits in six countries [1][9] - The company is authorized to operate an autonomous vehicle business and deploy Robotaxis nationwide, starting pilot operations in Riyadh in collaboration with Uber and local partner Ai Driver [2][3] Company Developments - The pilot program launched covers key locations in Riyadh, including King Khalid International Airport and major highways, with a full-scale commercial service expected by the end of 2025 [3][4] - WeRide's Robotaxi completed the TGA's Regulatory Sandbox for AV Piloting, involving rigorous testing and assessments to ensure safety and performance [5] - The permit is seen as a significant step in WeRide's global expansion, enabling large-scale deployment and new revenue streams in Saudi Arabia [6] Regional Expansion - WeRide entered the Saudi market in May 2025 and has been testing its Robobus in various locations, including King Fahad Medical City and Aramco residential communities [7] - The company is also expanding its Robotaxi services in the Middle East, with ongoing fully driverless testing in Abu Dhabi and plans to extend services to Dubai [8] Industry Position - WeRide is recognized as a leader in the autonomous driving industry, being the first publicly traded Robotaxi company and having tested vehicles in over 30 cities across 10 countries [9]

Tesla's core business is struggling, and its futuristic product platforms are a long way from generating meaningful revenue. Tesla (TSLA 3.49%) is one of the world's largest manufacturers of electric vehicles (EVs), but its CEO, Elon Musk, is no longer focused on just selling cars. He's preparing the company for an autonomous future by directing its resources into its full self-driving (FSD) software, its Cybercab robotaxi, and its humanoid robot named Optimus. Musk believes Tesla will become the world's mo ...

Summary of Pony AI Inc. (PONY) Conference Call Company Overview - **Company**: Pony AI Inc. (PONY) - **Industry**: Autonomous Vehicle Technology, specifically focusing on Robotaxi services Key Points and Arguments Regulatory Developments - Pony AI has received a permit to offer fully driverless commercial Robotaxi services in the Shanghai Pudong New Area, allowing the company to charge passengers [1] - The company plans to launch driverless services initially in Jinqiao and Huamu districts, with plans to expand to other areas in Shanghai [2] Expansion of Services - The company operates driverless Robotaxis in all four tier-1 cities: Shanghai, Beijing, Shenzhen, and Guangzhou [1] - Pony AI has initiated 24/7 Robotaxi testing in Beijing, Shenzhen, and Guangzhou, enhancing operational availability and potentially increasing revenue per vehicle [3] Technological Advancements - Pony AI has started road testing its Gen-7 Robotaxi model in major cities, collaborating with GAC, BAIC, and Toyota to reduce hardware costs and improve software capabilities [4] - The Gen-7 Robotaxi is expected to enhance gross profits per vehicle due to lower costs and improved technology [4] Financial Outlook - Goldman Sachs has set a 12-month price target of $26.00 for Pony AI, indicating a potential upside of 71.8% from the current price of $15.13 [12][14] - Revenue projections for the upcoming years are as follows: $75 million in 2024, $80.3 million in 2025, $96.6 million in 2026, and $150.4 million in 2027 [14] Risks and Challenges - Key downside risks identified include regulatory challenges, supply chain issues, market growth for Robotaxis, personal information security, infrastructure limitations, pricing competition, and product liability [13] Market Position - Pony AI is positioned as a strong player in the autonomous vehicle market, with a focus on expanding its Robotaxi services and enhancing its technological capabilities [1][4] Additional Important Information - The company is currently valued at approximately $5.3 billion, with an enterprise value of $5.0 billion [14] - Analysts maintain a "Buy" rating on Pony AI, reflecting confidence in its growth potential and market strategy [1][12]

Core Insights - Investors should focus on companies with strong growth potential, competitive advantages, and adaptability to technology trends Group 1: Nvidia - Nvidia is the leader in AI infrastructure, holding a 92% market share in Q1 [2] - The company's competitive edge lies in its CUDA software platform, which has been widely adopted in research and development [3] - Nvidia is expanding into new markets, including autonomous driving, while recently receiving approval to sell H20 chips in China [4] Group 2: Taiwan Semiconductor Manufacturing - Taiwan Semiconductor Manufacturing is the leading chip foundry, producing chips for major companies like Nvidia and Apple [6] - The company has seen a rise in revenue from high-performance computing, which now constitutes 60% of its revenue, up from 52% a year ago [7] - TSMC's advanced manufacturing capabilities position it as a key player in the growing AI and autonomous driving markets [8] Group 3: Meta Platforms - Meta Platforms is leveraging AI to enhance its digital advertising capabilities, increasing user engagement on Facebook and Instagram [9] - The company is beginning to monetize WhatsApp and Threads, which have significant user bases, providing a long growth runway [10] - CEO Mark Zuckerberg is investing heavily in AI talent to achieve ambitious goals, positioning Meta as a potential leader in AI [11] Group 4: GitLab - GitLab is evolving into a comprehensive software development lifecycle platform, integrating AI to enhance development processes [12] - The introduction of over 30 new features in GitLab 18 aims to improve efficiency across the software development lifecycle [13] - GitLab's focus on AI-driven solutions positions it well for future growth in an increasingly AI-centric software landscape [13] Group 5: Toast - Toast is becoming essential in the restaurant industry by providing software that enhances operational efficiency and sales [14] - The integration of AI tools like ToastIQ is helping restaurants make data-driven decisions in real time [15] - As restaurants face economic pressures, Toast's technology solutions offer significant growth opportunities in a large and fragmented market [16]