RT Token Terminal 📊 (@tokenterminal)Top 5 companies & DAOs by TVLTop 2 build on @ethereumTop 3-5 build on Ethereum & their businesses are powered by $ETHThe latter is also evident from the TVL growth rates, where a rising ETH pushes the TVLs higher https://t.co/5l7bIbdVJk ...

[Music] [Applause] This is our home. It goes by various names. Silver River, Spirit Road, Winter Street.The Romans thought of it as a road traveled by the gods and named it Via Latea or Milky Way. This was an adaptation from the Greeks who called it Kuclo Galaxius or Milky Circle. The first thing I want you to do is just admire it.Our ancestors have done so for countless generations. It contains over 100 billion stars. Although you can only see some of them individually by eye, most of them are so distant t ...

Electric carmaker Tesla (TSLA) is scheduled to report results for the second quarter of 2025 on July 23 after market close.Tesla has gained about 56% over the past three months, outperforming the industry’s growth of 28.8%. The solid trend is likely to continue if Tesla comes up with an earnings surprise. However, the second-quarter earnings picture is not assuring (read: 5 Sector ETFs Set to Power Q2 Earnings Growth). ETFs having a substantial allocation to this luxury carmaker like Simplify Volt TSLA Revo ...

🚨 Cantor Fitzgerald has reiterated its Overweight rating on $TSLA with a price target of $355Cantor Fitzgerald views Tesla’s Robotaxi segment as a "software-as-a-service, high-margin model" with significant scaling capabilities following commercialization.The research firm expressed confidence that @Tesla will "capture a significant share of the autonomous driving and ride-sharing industries" in the future.Cantor Fitzgerald analyst Andres Sheppard provided the assessment, reinforcing the firm’s bullish stan ...

Group 1: Company Performance - Micron Technology, Inc. has gained 35.9% year to date in 2025, significantly outperforming the broader Zacks Computer and Technology sector, which rose only 9.5% [1] - The company's stock performance has surpassed major chipmakers such as Advanced Micro Devices, NVIDIA, and Broadcom, which saw gains of 30%, 28.4%, and 22.2% respectively [1] Group 2: Market Confidence and Fundamentals - The outperformance indicates increasing investor confidence in Micron's long-term prospects, even amid market volatility due to trade conflicts and geopolitical risks [3] - Strong fundamentals support the current momentum, justifying a buy position for the stock [3] Group 3: Growth Drivers - Micron is positioned at the center of transformative tech trends, including artificial intelligence, high-performance data centers, autonomous vehicles, and industrial IoT, which are expected to drive sustainable long-term growth [4] - The demand for advanced memory solutions like DRAM and NAND is surging due to accelerated AI adoption, with Micron's investments in next-gen DRAM and 3D NAND ensuring competitiveness [5] Group 4: Diversification Strategy - The company's diversification strategy has created a more stable revenue base by shifting focus from volatile consumer electronics to resilient sectors like automotive and enterprise IT [6] - This strategic balance enhances Micron's ability to withstand cyclical downturns, a critical factor in the semiconductor industry [6] Group 5: Product Demand and Partnerships - Micron is experiencing strong demand for high-bandwidth memory (HBM), particularly its HBM3E products, which are noted for energy efficiency and bandwidth suitable for AI workloads [7] - A partnership with NVIDIA, confirming Micron as a core HBM supplier for its GeForce RTX 50 Blackwell GPUs, highlights the company's integration into the AI supply chain [7] Group 6: Financial Outlook - The Zacks Consensus Estimate projects revenue growth of 46.5% for fiscal 2025 and 32.9% for fiscal 2026, with EPS expected to improve by 497.7% in fiscal 2025 and 57.9% in fiscal 2026 [11] - Micron's stock trades at a forward price-to-sales (P/S) ratio of 2.69, significantly lower than the sector average of 6.69, indicating attractive valuation [14][16] Group 7: Investment Recommendation - Given its strong fundamentals, established position in the AI-driven memory market, and attractive valuation relative to peers, Micron is recommended as a buy [18]

Core Viewpoint - WeRide has launched the HPC 3.0 high-performance computing platform, marking a significant advancement in autonomous driving technology and enabling the world's first mass-produced Level 4 autonomous vehicle, the Robotaxi GXR, powered by NVIDIA's DRIVE AGX Thor chips [1][4][10] Group 1: Product Development - The HPC 3.0 platform, developed in collaboration with Lenovo, features dual NVIDIA DRIVE AGX Thor chips and delivers up to 2,000 TOPS of AI compute, making it the most powerful computing platform for Level 4 autonomy [2][4] - The new platform reduces autonomous driving suite costs by 50% and cuts mass production costs to a quarter of its predecessor, HPC 2.0 [4][6] - HPC 3.0 consolidates key modules, which lowers the total cost of ownership (TCO) by 84% over its lifecycle compared to HPC 2.0 [4] Group 2: Safety and Compliance - HPC 3.0 is certified to AEC-Q100, ISO 26262, and IATF 16949 standards, with a failure rate below 50 FIT and a mean time between failures (MTBF) of 120,000 to 180,000 hours [5] - The platform is designed for 10 years or 300,000 km of use and can operate in extreme temperatures from -40°C to 85°C, meeting global VOCs environmental standards [5] Group 3: Strategic Partnerships - The collaboration with Lenovo and NVIDIA is highlighted as a major breakthrough in computing power and cost efficiency, enhancing vehicle reliability and responsiveness while significantly reducing deployment costs [6][7] - NVIDIA has been a strategic investor in WeRide since 2017, supporting the commercialization of autonomous driving solutions globally [8][9] Group 4: Market Position - WeRide is recognized as the world's first publicly listed Robotaxi company, having operated Robotaxis on public roads for over 2,000 days and tested its technology in over 30 cities across 10 countries [10][11] - The company has received autonomous driving permits in five markets: China, the UAE, Singapore, France, and the US, positioning itself as a leader in the autonomous driving industry [11]

作为滴水湖AI创新港的核心载体，港城广场的核心竞争力在于构建了以人工智能产业体系为核心，辅 以完善赋能体系和服务体系的生态闭环。这里汇聚了全球领先新能源汽车科技企业宁德时代，中国首家 智能操作系统上市企业中科创达，自动驾驶知名企业商汤"绝影"等领军企业，同时吸引了概伦电子、临 科智华、小零科技等200余家创新型企业，超3000名科创人才在此深耕智能芯片、自动驾驶、具身智能 等前沿领域。 今年以来，港城集团强化产业链招商，港城广场在AI数字产业及智能网联汽车领域的聚集效应日益凸 显：3D数字资产领军企业万生华态入驻并筹建"数字游民社区"；全国网约车十强"旅程天谷"在此开展无 人驾驶网约车落地试点；昆仑联通数字化转型服务平台项目、微创软件项目等高能级项目亦加速落地， 彰显强大的产业吸附力。 （文章来源：新华财经） 新华财经上海7月21日电 上海自贸试验区临港新片区商业配套进一步完善，由港城集团历经十年匠心打 造、总建筑面积约55.8万平方米的"上海首个未来示范街区"近日实现业态丰富度与活力能级实现跨越式 提升。 7月19日，临港新片区滴水湖畔的港城广场特色街区正式揭开面纱。随着大光明影院、滴水湖英迪格酒 店、奇遇 ...

Core Insights - The article discusses advancements in autonomous driving technology, particularly focusing on the Orbis model developed by Freiburg University, which significantly improves long-horizon prediction in driving world models [1][2]. Group 1: Orbis Model Contributions - The Orbis model addresses shortcomings in contemporary driving world models regarding long-horizon generation, particularly in complex maneuvers like turns, and introduces a trajectory distribution-based evaluation metric to quantify these issues [2]. - It employs a hybrid discrete-continuous tokenizer that allows for fair comparisons between discrete and continuous prediction methods, demonstrating that continuous modeling (based on flow matching) outperforms discrete modeling (based on masked generation) in long-horizon predictions [2]. - The model achieves state-of-the-art (SOTA) performance with only 469 million parameters and 280 hours of monocular video data, excelling in complex driving scenarios such as turns and urban traffic [2]. Group 2: Experimental Results - The Orbis model achieved a Fréchet Video Distance (FVD) of 132.25 on the nuPlan dataset for 6-second rollouts, significantly lower than other models like Cosmos (291.80) and Vista (323.37), indicating superior performance in trajectory prediction [6][7]. - In turn scenarios, Orbis also outperformed other models, achieving a FVD of 231.88 compared to 316.99 for Cosmos and 413.61 for Vista, showcasing its effectiveness in challenging driving conditions [6][7]. Group 3: LaViPlan Framework - The LaViPlan framework, developed by ETRI, utilizes reinforcement learning with verifiable rewards to address the misalignment between visual, language, and action components in autonomous driving, achieving a 19.91% reduction in Average Displacement Error (ADE) for easy scenarios and 14.67% for hard scenarios on the ROADWork dataset [12][14]. - It emphasizes the transition from linguistic fidelity to functional accuracy in trajectory outputs, revealing a trade-off between semantic similarity and task-specific reasoning [14]. Group 4: World Model-Based Scene Generation - The University of Macau introduced a world model-driven scene generation framework that enhances dynamic graph convolution networks, achieving an 83.2% Average Precision (AP) and a 3.99 seconds mean Time to Anticipate (mTTA) on the DAD dataset, marking significant improvements [23][24]. - This framework combines scene generation with adaptive temporal reasoning to create high-resolution driving scenarios, addressing data scarcity and modeling limitations [24]. Group 5: ReAL-AD Framework - The ReAL-AD framework proposed by Shanghai University of Science and Technology and the Chinese University of Hong Kong integrates a three-layer human cognitive decision-making model into end-to-end autonomous driving, improving planning accuracy by 33% and reducing collision rates by 32% [33][34]. - It features three core modules that enhance situational awareness and structured reasoning, leading to significant improvements in trajectory planning accuracy and safety [34].

You're looking at an innovative type of shuttle aiming to prove big things do come in small packages. Meet Na. It feels like I'm living in the Jetsons.Because it's what you don't see that makes this shuttle ride feel futuristic. No steering wheel, no gas or brake pedals, no conventional driver. Instead, it's loaded with cuttingedge technology.Cameras, radars, and sensors that keep Mika moving and leave passengers in awe. I was like, "Wait a minute. What is this?" Since April, this 8seat shuttle has been tes ...

Core Viewpoint - Uber Technologies announced a partnership to deploy over 20,000 robotaxis in collaboration with Lucid Motors and Nuro, signaling a significant shift in Uber's strategy towards autonomous vehicle technology [3][7][10] Group 1: Partnership Details - Uber will invest $300 million in Lucid Motors, while Nuro will develop the self-driving technology for the robotaxis [3] - The deployment of the 20,000 robotaxis will occur over the next six years, with manufacturing likely starting late next year [5][6] Group 2: Impact on Lucid Motors - Lucid Motors' stock surged over 40% following the announcement, reflecting strong market sentiment towards the partnership [1] - The order for 20,000 vehicles is significant, especially considering Lucid's recent quarterly delivery record of 3,309 vehicles [5][10] - Lucid aims to leverage this partnership to enhance its market presence and capitalize on the growing demand for autonomous vehicles [5][10] Group 3: Uber's Strategic Shift - This partnership marks a new era for Uber, which had previously exited the robotaxi space in 2020, indicating a shift towards collaboration with multiple technology developers [7] - Uber is also pursuing other partnerships, such as with Volkswagen for commercial service in Los Angeles [7] Group 4: Industry Context - The autonomous vehicle sector faces challenges, including regulatory hurdles and high costs, which have led to the closure of several start-ups [8] - Competitors like Tesla and Waymo are advancing their driverless capabilities, with Tesla launching a pilot program and Waymo achieving significant milestones in autonomous driving [9]