ElectraLith: DLE through electrodialysis ElectraLith is an Australian company that has developed a method for direct lithium extraction (DLE) through electrodialysis, utilizing a bipolar membrane. ElectraLith presented on this technology at the Direct Lithium Extraction Summit UK. IDTechEx discusses this technology's potential. ElectraLith: DLE through electrodialysis
Hyundai Is Already Testing Its Next High-Performance Engine Hyundai says the engine will have 'improved power and response characteristics.' The Breakdown: - Hyundai will publicly test its next-generation high-performance N engine during the 24 Hours of Nürburgring. - The engine has ‘improved power and response characteristics.’ - The current turbocharged 2.0-liter engine makes 276 horsepower in the Elantra N. Next month, Hyundai will begin publicly testing its next-generation high-performance N engine. The automaker is putting the motor in two Elantra N race cars that will compete in next month’s 24 Hours of Nürburgring. The automaker said it wants to validate the new powertrain’s "performance and durability in extreme conditions," but specific details remain elusive. All Hyundai will say about the next-gen engine is that it features "improved power and response characteristics... while meeting emissions regulations." A decade ago, Hyundai did this exact thing, putting a prototype engine in an i30 to compete in the 24 Hours of Nürburgring. A year later, the automaker would begin producing the turbocharged 2.0-liter four-cylinder engine. It is the engine that currently powers the Elantra N, delivering 276 horsepower and 289 pound-feet of torque. Sedans equipped with the dual-clutch automatic feature N Grin Shift, which boosts output to 286 hp for 20 seconds. Compared to other performance compacts, the Elantra N is down on power. The Civic Type R, which is also far more expensive, makes 315. The Golf GTI, which has a similar starting price to the N, makes 241 hp, while the pricier Golf R produces 328 hp. Motor1’s Take: We wouldn’t be surprised if Hyundai’s next N engine delivers around 300 hp, but we don’t expect much more than that. It sounds like this will be an evolution of the current powertrain instead of a complete redesign, so the updates could be
The global logistics landscape is undergoing an important evolution as a result of the rapid development of autonomous transportation systems and artificial intelligence. The Russian Navio unmanned mainline tractor has successfully completed a journey of nearly 2,800 kilometers without a human pilot inside the cabin, marking a significant milestone. This achievement, which was accomplished at the FSUE NAMI testing grounds, represents a substantial advancement in the direction of completely autonomous freight transportation. This is not just a controlled experiment; it is a strong indication that driverless transportation is on the brink of real-world viability. A Driverless Performance That Sets a New Record Under full AI control, the Navio autonomous tractor traveled approximately 2.8 thousand kilometers, reaching speeds of up to 83 km/h. The absence of human intervention is what differentiates this test. The vehicle was not operated by a driver, nor was a remote operator present to provide guidance. The onboard artificial intelligence system made all decisions, including navigation and acceleration. Ensuring that the system could operate consistently in a variety of visibility scenarios, the experiments were conducted in both daylight and nighttime conditions. This dual-condition testing is indispensable, as long-haul logistics operations often operate continuously, regardless of illumination or time. The system’s functionality and stability over extended operational periods are demonstrated by such endurance testing over lengthy distances. Addressing Actual Driving Obstacles The unmanned tractor executed a variety of complicated driving maneuvers that are essential for real-world deployment throughout the testing phase. These included the following: stopping at traffic signals, obstacle avoidance, and lane adjustments. The system is required to interpret the dynamic surroundings and respond in real time for each of these duties. In contrast to controlled test tracks with minimal variables, these scenarios replicate actual traffic environments in which unpredictability is the norm. The technology’s maturity is
Amazon Expands Zero-Emission Logistics with Einride EV Trucks Edited by Mursal Rahman — April 24, 2026 — Autos This article was written with the assistance of AI. References: cnbc & techcrunch Amazon’s expansion of electric freight within its Relay network highlights a growing shift toward fully electrified middle-mile logistics. By integrating heavy-duty electric trucks from partners like Einride, the company is reducing reliance on traditional fuel-powered fleets while improving operational efficiency. These trucks are supported by smart routing and charging software, allowing for optimized delivery schedules and reduced downtime across warehouses, ports, and distribution hubs. The use of a centralized digital platform also streamlines how drivers and loads are matched, creating a more flexible and responsive logistics system. From a business standpoint, this approach can significantly lower fuel and maintenance costs while helping companies meet sustainability goals. It also strengthens supply chain resilience by reducing exposure to fuel price volatility. As large players scale electric fleets, competitors may be pushed to accelerate their own electrification strategies, invest in infrastructure, and adopt more data-driven logistics systems to remain competitive. Image Credit: Einride From a business standpoint, this approach can significantly lower fuel and maintenance costs while helping companies meet sustainability goals. It also strengthens supply chain resilience by reducing exposure to fuel price volatility. As large players scale electric fleets, competitors may be pushed to accelerate their own electrification strategies, invest in infrastructure, and adopt more data-driven logistics systems to remain competitive. Image Credit: Einride Electric trucks in delivery networks Helps decide what angles to cover on electric freight (adoption timeline, what benefits matter, and which investments readers expect companies to make). 1 / 3 When did you last notice a delivery company talk about electric trucks? 2 / 3 If you ran a shipping network, how likely would you be
Amazon’s expansion of electric freight within its Relay network highlights a growing shift toward fully electrified middle-mile logistics. By integrating heavy-duty electric trucks from partners like Einride, the company is reducing reliance on traditional fuel-powered fleets while improving operational efficiency. These trucks are supported by smart routing and charging software, allowing for optimized delivery schedules and reduced downtime across warehouses, ports, and distribution hubs. The use of a centralized digital platform also streamlines how drivers and loads are matched, creating a more flexible and responsive logistics system. From a business standpoint, this approach can significantly lower fuel and maintenance costs while helping companies meet sustainability goals. It also strengthens supply chain resilience by reducing exposure to fuel price volatility. As large players scale electric fleets, competitors may be pushed to accelerate their own electrification strategies, invest in infrastructure, and adopt more data-driven logistics systems to remain competitive. Electric Freight Networks Amazon Expands Zero-Emission Logistics with Einride EV Trucks Trend Themes - Electrified Middle-mile Logistics — Widespread adoption of heavy-duty EV trucks in middle-mile routes creates potential for lower operating costs and material shifts in fleet ownership and maintenance models. - Smart Charging and Routing — Optimized charging schedules and AI-driven route planning open possibilities for reducing downtime and enabling trucks to act as flexible grid assets during off-peak periods. - Centralized Digital Freight Platforms — A unified digital layer for driver-load matching and fleet telemetry enables new marketplace models and dynamic capacity allocation across distributed warehouses and hubs. Industry Implications - Third-party Logistics Providers — Logistics service companies face transformation as electrified fleets and data-centric operations shift value toward software-enabled coordination and asset-light models. - Port and Terminal Operations — Port ecosystems may experience operational reconfiguration as electric vehicle charging demand and predictable EV routing alter cargo throughput patterns and
- At Auto China 2026, Pony.ai outlined new steps to advance Robotaxi commercialization through lower-cost Gen-7 vehicles and an upgraded world model to improve "Virtual Driver" training efficiency. - The total vehicle cost of Pony.ai's 2027 Robotaxi in China market, including the base vehicle and autonomous driving kit, is expected to fall below RMB 230,000. - Pony.ai also unveiled the world's first 100% automotive-grade, fully redundant L4 autonomous light-duty truck, developed with CATL for urban logistics. BEIJING, April 24, 2026 /PRNewswire/ -- Pony AI Inc. ("Pony.ai") (NASDAQ: PONY; HKEX: 2026) is advancing the commercialization of Level 4 (L4) autonomous driving through continued cost reduction, fleet expansion and broader product deployment across mobility and logistics. At Auto China 2026 in Beijing, Pony.ai highlighted progress in lowering the cost of its seventh-generation (Gen-7) Robotaxis, with total vehicle cost of its 2027 Robotaxi in China market, including both the autonomous driving kit and the base vehicle, expected to fall below RMB 230,000, lower than the current starting price of a locally produced Tesla Model 3 in China. The company also pointed to continued robotaxi fleet expansion, a broader L4 product lineup with a new autonomous light-duty truck, and PonyWorld 2.0, its upgraded proprietary world model, as key drivers of continued deployment at scale. "Over the past decade, we have remained focused on turning autonomous driving from a concept into real-world infrastructure," said Dr. James Peng, Founder and CEO of Pony.ai. "Today, the question is no longer whether Robotaxi can work. The focus is how to scale it safely, efficiently and at the right cost." After introducing its Gen-7 Robotaxi lineup last year, Pony.ai has expanded its fleet from 270 vehicles to more than 1,400. Supported by a 70% reduction in bill-of-materials cost for its Gen-7 autonomous driving kit, along with continued operational optimization,
Tesla Faces Waymo. Musk Delivers on Promise, Tesla Cybercab Enters Mass Production Tesla has begun production of its Cybercab Robotaxi, a fully autonomous vehicle designed for a Vehicle-as-a-Service model. This marks a strategic shift for Tesla towards becoming an AI and mobility platform, aiming to capture ride-hailing markets. The Cybercab's mass production signals progress towards commercial execution, potentially re-evaluating Tesla's valuation to a technology platform. Challenges include regulatory hurdles for autonomous driving, ongoing FSD system verification, and increased capital expenditures impacting cash flow amidst slowing EV sales. The Cybercab launch intensifies competition, with Tesla leveraging data, integration, and cost advantages. Investors should monitor regulatory and execution risks. TradingKey - On Friday, March 24, Eastern Time, Tesla CEO Elon Musk stated in a post on X that Tesla (TSLA) has begun production of its Robotaxi model, the highly anticipated fully autonomous taxi known as "Cybercab." The Cybercab is a fully autonomous taxi with no steering wheel or pedals, positioned for commercial operation within a Robotaxi network. This model serves as a key vehicle for Tesla's transformation from an "electric vehicle manufacturer" into an "AI and mobility platform," representing a significant step in Musk's push for a "physical AI" strategy. From a business model perspective, the Cybercab does not rely on hardware sales for profitability. Instead, it accesses an autonomous driving network through a "Vehicle-as-a-Service" (VaaS) model to maximize asset utilization, with a long-term goal of capturing portions of the ride-hailing and taxi markets. For the investment market, Musk has delivered on his 2025 commitment to the Robotaxi mass production plan, signaling that Tesla is accelerating its transformation into a technology platform company. Furthermore, it marks the progression of Tesla's Robotaxi from a conceptual stage toward commercial execution. If the Cybercab achieves smooth mass production and large-scale deployment, it is expected to
Gasgoo Munich- Pony.ai took the stage at the Auto China 2026 on April 24, where Founder and CEO James Peng announced a major cost breakthrough. The total cost of its 2027 fully unmanned Robotaxi—encompassing the vehicle, autonomous driving kit, and battery—will slide to under 230,000 yuan. That undercuts the starting price of a domestically built Tesla Model 3. This price drop unlocks economic feasibility for expansion into more Chinese cities, while a tailored overseas version will cater to local regulations and demand, paving the way for a deployment exceeding 1,000 units abroad. Image Source: Pony.ai (same below) At the Shanghai Auto Show in April 2025, Pony.ai unveiled its seventh-generation Robotaxi. Within just six months, the vehicle was operational in Beijing, Guangzhou, and Shenzhen, having already achieved positive unit economics in the Guangdong cities. To date, the company's Robotaxi fleet has surpassed 1,400 units, serving a user base that has topped 1 million—nearly triple the figure from a year ago. To accelerate the virtuous cycle of cost and scale, Pony.ai is rolling out a "dual-engine strategy." The plan centers on scaling up fleets and operational zones in Tier-1 hubs like Beijing, Shanghai, Guangzhou, and Shenzhen to replicate a proven business model. Simultaneously, the company is pushing into "New Tier-1" cities like Hangzhou and Changsha, while launching services and tests in overseas markets including Croatia and Singapore. Pony.ai expects to establish a presence in over 20 cities globally by 2026, with a total fleet exceeding 3,000 vehicles. Notably, 1,000 units of the Toyota Bozhi 4X Robotaxi are slated for deployment; fully unmanned testing has already begun, with commercial operations in Tier-1 cities imminent. Pony.ai also partnered with CATL to debut the world's first fully vehicle-grade, fully redundant L4 autonomous light truck. Sharing the same complex urban road capabilities and L4 architecture as
(Hong Kong – 21 Apr 2026) Hutchison Port Holdings Trust (HPH Trust) today announced the launch of its inaugural Autonomous Truck (AT) fleet in Hong Kong, a zero-emission vehicle designed for efficient container transport at its terminals. This cutting-edge, AI-powered innovation marks a significant milestone in advancing the city’s smart and green port development, reinforcing Hong Kong’s position as a global maritime hub. Today’s launch ceremony was officiated by Liu Chun San, Under Secretary for Transport and Logistics, HKSAR Government and Ivor Chow, Chief Executive Officer of HPH Trust and Managing Director of Hongkong International Terminals (HIT). AT, designed without a driver’s cab, operates seamlessly alongside conventional vehicles under ‘true’ mixed traffic mode. Powered by AI-driven algorithms, binocular cameras, advanced sensors and precise positioning systems, AT delivers 24/7 all-weather performance, with built-in obstacle detection and emergency response systems. Liu Chun San, Under Secretary for Transport and Logistics, HKSAR Government, said, “The launch of autonomous trucks not only marks a key milestone for the development of Hong Kong’s container terminals, but also signifies a pivotal step in the smart transition of Hong Kong’s port industry. This innovative initiative is a proactive response to the Government’s vision for promoting green and smart shipping, setting a good example for promoting the sustainable development and technological advancement of the Hong Kong Port.” Ivor Chow, Chief Executive Officer of HPH Trust and Managing Director of HIT, said “Today, we are not just launching a fleet of trucks; we are launching a new generation of port technology. These AI-powered, 5G-connected Autonomous Trucks are designed to operate seamlessly alongside conventional vehicles, marking a significant step forward for Hong Kong as a smart, green maritime hub. This initiative advances the smart transformation of the logistics industry in line with the National 15th Five-Year Plan and aligns with the
The company will supply its autonomous mining trucks and related technology to MMD Group, as it seeks to cultivate the international market image credit: Bamboo Works Key Takeaways: - CiDi announced a new partnership to provide its autonomous mining trucks and related technology to Britain's MMD Group - The tie-up comes as CiDi tries to diversify beyond its home China market, where stiff competition is eroding its margins It made history last December when it became the first company to list among a new generation of Chinese autonomous mining truck makers. Now, CiDi Inc. (3881.HK) has scored another milestone with a deal that could take it beyond its home China market that currently accounts for nearly all of its revenue. While autonomous mining trucks are a tiny niche of the much larger autonomous driving sector, they are still quite large, worth 1.9 billion yuan ($278 million) in China alone last year and expected to reach about 40 billion yuan by 2030, according to third-party market data from CiDi's IPO prospectus last year. The global market is obviously much larger, which is what CiDi is eying with this new partnership. Autonomous technology is especially attractive to mining companies because it minimizes the potential for injuries and deaths of drivers and other workers when accidents occur at mines. That has translated to strong government support in China, which in 2024 issued a document emphasizing the importance of mining safety and necessity of speeding up development of unmanned mining trucks. CiDi's latest deal will see it supply its autonomous driving systems for use in MMD Group's mining equipment automation solutions. MMD will also sell CiDi's core autonomous mining trucks, along with dispatch systems and charging infrastructure, giving the Chinese company an important outlet to extend its global reach. "This partnership marks a milestone
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Pony.ai Drives Commercialization at Scale with Lower-Cost Robotaxis and New L4 Light Truck - At Auto China 2026, Pony.ai outlined new steps to advance Robotaxi commercialization through lower-cost Gen-7 vehicles and an upgraded world model to improve "Virtual Driver" training efficiency. - The total vehicle cost of Pony.ai's 2027 Robotaxi in China market, including the base vehicle and autonomous driving kit, is expected to fall below RMB 230,000. - Pony.ai also unveiled the world's first 100% automotive-grade, fully redundant L4 autonomous light-duty truck, developed with CATL for urban logistics. BEIJING, April 24, 2026 /PRNewswire/ -- Pony AI Inc. ("Pony.ai") (NASDAQ: PONY; HKEX: 2026) is advancing the commercialization of Level 4 (L4) autonomous driving through continued cost reduction, fleet expansion and broader product deployment across mobility and logistics. At Auto China 2026 in Beijing, Pony.ai highlighted progress in lowering the cost of its seventh-generation (Gen-7) Robotaxis, with total vehicle cost of its 2027 Robotaxi in China market, including both the autonomous driving kit and the base vehicle, expected to fall below RMB 230,000, lower than the current starting price of a locally produced Tesla Model 3 in China. The company also pointed to continued robotaxi fleet expansion, a broader L4 product lineup with a new autonomous light-duty truck, and PonyWorld 2.0, its upgraded proprietary world model, as key drivers of continued deployment at scale. "Over the past decade, we have remained focused on turning autonomous driving from a concept into real-world infrastructure," said Dr. James Peng, Founder and CEO of Pony.ai. "Today, the question is no longer whether Robotaxi can work. The focus is how to scale it safely, efficiently and at the right cost." After introducing its Gen-7 Robotaxi lineup last year, Pony.ai has expanded its fleet from 270 vehicles to more than 1,400. Supported by a 70% reduction in
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The Europe Autonomous Truck Market is projected to grow from USD 13.96 billion in 2025 to USD 35.76 billion by 2033, expanding at a CAGR of 12.6% during the forecast period. Growth is being driven by rising freight automation demand, persistent commercial driver shortages, advancements in AI and sensor technologies, and increasing regulatory support for autonomous mobility corridors across Europe. Autonomous trucks are reshaping Europe’s freight and logistics ecosystem by improving route efficiency, reducing operating costs, enhancing road safety, and enabling 24/7 freight movement. Adoption is accelerating across long-haul transport, mining, port logistics, and last-mile delivery applications as fleet operators pursue greater productivity and digital transformation. Quick Insights - Market Size (2025): USD 13.96 Billion - Forecast Size (2033): USD 35.76 Billion - CAGR (2026–2033): 12.6% - Largest Segment: L2 & L3 Autonomous Trucks (38.68% share) - Fastest-Growing Segment: Level 4 (L4) Autonomous Systems - Leading Region within Europe: Germany - Core Driver: Driver shortages and logistics efficiency automation - Key Players: Daimler Truck, Volvo Group, PACCAR, Scania, MAN, Waymo, Aurora - Key Opportunity: Cross-border autonomous freight corridors - Primary Challenge: Regulation harmonization and high deployment costs Revenue Breakdown & Market Segmentation | Segment Category | Key Insights | |---|---| | Base Year | 2025 – USD 13.96 Billion | | Forecast Year | 2033 – USD 35.76 Billion | | CAGR | 12.6% | | By Level of Autonomy | L1, L2 & L3, L4, L5 | | By Vehicle Type | Light Duty, Medium Duty, Heavy Duty | | By Propulsion | Diesel, Electric, Hybrid | | By Sensor Type | Radar, LiDAR, Cameras, Ultrasonic | | By Application | Freight, Mining, Construction, Last-Mile Delivery | - L2 & L3 autonomy currently dominate due to regulatory readiness and OEM integration. - Heavy-duty trucks represent the largest revenue-generating vehicle
Pony.ai Drives Commercialization at Scale with Lower-Cost Robotaxis and New L4 Light Truck - At Auto China 2026, Pony.ai outlined new steps to advance Robotaxi commercialization through lower-cost Gen-7 vehicles and an upgraded world model to improve "Virtual Driver" training efficiency. - The total vehicle cost of Pony.ai's 2027 Robotaxi in China market, including the base vehicle and autonomous driving kit, is expected to fall below RMB 230,000. - Pony.ai also unveiled the world's first 100% automotive-grade, fully redundant L4 autonomous light-duty truck, developed with CATL for urban logistics. BEIJING, April 24, 2026 /PRNewswire/ -- Pony AI Inc. ("Pony.ai") (NASDAQ: PONY; HKEX: 2026) is advancing the commercialization of Level 4 (L4) autonomous driving through continued cost reduction, fleet expansion and broader product deployment across mobility and logistics. At Auto China 2026 in Beijing, Pony.ai highlighted progress in lowering the cost of its seventh-generation (Gen-7) Robotaxis, with total vehicle cost of its 2027 Robotaxi in China market, including both the autonomous driving kit and the base vehicle, expected to fall below RMB 230,000, lower than the current starting price of a locally produced Tesla Model 3 in China. The company also pointed to continued robotaxi fleet expansion, a broader L4 product lineup with a new autonomous light-duty truck, and PonyWorld 2.0, its upgraded proprietary world model, as key drivers of continued deployment at scale. "Over the past decade, we have remained focused on turning autonomous driving from a concept into real-world infrastructure," said Dr. James Peng, Founder and CEO of Pony.ai. "Today, the question is no longer whether Robotaxi can work. The focus is how to scale it safely, efficiently and at the right cost." After introducing its Gen-7 Robotaxi lineup last year, Pony.ai has expanded its fleet from 270 vehicles to more than 1,400. Supported by a 70% reduction in
Hutchison Port Holdings Trust (HPH Trust) has launched its inaugural autonomous truck fleet in Hong Kong, a zero-emission vehicle designed for efficient container transport at its terminals. The trucks, designed without a driver’s cab, operate seamlessly alongside conventional vehicles. Powered by AI-driven algorithms, binocular cameras, advanced sensors and precise positioning systems, they deliver 24/7 all-weather performance, with built-in obstacle detection and emergency response systems. Currently, six units of trucks are in operation at Terminal 4. HPH Trust plans to expand its fleet and enhance its green technology portfolio to further advance sustainability across terminal operations, including the introduction of e-trucks, e-reachstackers and associated battery swapping stations. Ivor Chow, Chief Executive Officer of HPH Trust and Managing Director of HIT, said “Today, we are not just launching a fleet of trucks; we are launching a new generation of port technology. These AI-powered, 5G-connected Autonomous Trucks are designed to operate seamlessly alongside conventional vehicles, marking a significant step forward for Hong Kong as a smart, green maritime hub. This initiative advances the smart transformation of the logistics industry in line with the National 15th Five-Year Plan and aligns with the HKSAR Government’s Green Port Development policies. Looking ahead, we remain committed to pioneering the future of smart and sustainable port operations in Hong Kong.”
- United States - / - Software - / - NasdaqGS:AUR Aurora Innovation (AUR) Valuation Check As New Regulatory Exemption Filing Highlights Autonomous Trucking Plans Aurora Innovation (AUR) is drawing fresh attention after subsidiary Aurora Operations applied to US regulators for a five year exemption covering warning equipment on Level 4 autonomous commercial trucks. See our latest analysis for Aurora Innovation. The regulatory filing arrives after a strong run, with a 30 day share price return of 18.04% and a year to date share price return of 33.59%. This performance comes even though the 1 year total shareholder return shows a 19.84% decline, which contrasts with a very large 3 year total shareholder return gain of around 3x. This suggests long term momentum but a more mixed recent experience for holders. If this kind of autonomous trucking news has your attention, it could be a good moment to see what else is moving in AI related transport and logistics via 38 AI infrastructure stocks So with the shares at US$5.17, trading at a steep discount to one widely cited price target and with a value score of 3, is Aurora still underappreciated, or is the market already baking in much of its future growth? Most Popular Narrative: 47.2% Undervalued The most followed narrative values Aurora Innovation at $9.79 per share, which sits well above the last close at $5.17 and frames a wide perceived gap. Planned deployment of second and third generation hardware, including a more durable kit designed for 1 million miles and roughly 50 percent lower unit cost, may reduce cost of revenue and support a path to positive gross margins and improving net margins as volumes scale. To understand what is behind that bold valuation gap, the narrative leans heavily on rapid revenue expansion, margin repair and
OOIDA on driverless truck exemption: Just say no Most Americans have concerns about sharing the road with an 80,000-pound driverless truck. However, companies like Aurora Operations hope their fleets of driverless trucks will grow to the thousands over the next five years. To help make that happen, Aurora seeks a five-year exemption from a federal regulation requiring truck drivers to place warning devices around the truck when stopped on a highway shoulder. Specifically, Aurora is asking to use a set of cab-mounted warning beacons instead of having a person deploy warning triangles around the truck. If granted, the exemption would apply to Aurora and other motor carriers operating Level 4 automated commercial motor vehicles. FMCSA is giving the public through May 15 to comment on Aurora’s exemption request. The Owner-Operator Independent Drivers Association is encouraging truck drivers and the general public to speak out against allowing driverless trucks on highways before they are ready. The organization, which represents small-business truckers, issued a Call to Action on Wednesday, April 22. “Self-driving trucking fleets are seeking an exemption from warning device regulations to remove human operators from trucks,” OOIDA wrote on its Fighting For Truckers website. “Tell FMCSA NO!” According to the Advocates for Highway and Auto Safety, 86% of Americans said they are concerned about driverless tractor-trailers and delivery trucks. The regulation The rule, which aims to alert other drivers when a commercial motor vehicle is stopped, requires the driver to take immediate action. Whenever a commercial motor vehicle is stopped upon the traveled portion or the shoulder of a highway for any cause other than necessary traffic stops, the driver shall, as soon as possible, but in any event within 10 minutes, place the warning devices … in the following manner: - One on the traffic side and four paces
Zelos Technology Targets $600 Million Hong Kong IPO With Autonomous Delivery Scale Zelos Technology is moving closer to public markets at a moment when investor attention around automation and logistics could be building. The Chinese robovan operator is reportedly working with banks on a potential Hong Kong listing that could raise about $600 million, according to people familiar with the matter. Discussions are still ongoing, and key elements such as timing and deal size may shift, suggesting the process remains in an early and somewhat flexible stage. What stands out is how Zelos is positioning itself within the autonomous delivery ecosystem. The company, formally known as Jiushi Suzhou Intelligent Technology Co., supplies Level 4 autonomous delivery trucks, targeting a segment that could benefit from rising demand for efficiency in logistics. It has also drawn backing from Alibaba Group Holding Ltd.'s BABA logistics arm Cainiao, which became a shareholder earlier this year through an undisclosed cash injection, potentially reinforcing its strategic ties within a broader commerce infrastructure. Scale appears to be a central part of the investment narrative. Founded in 2021, Zelos has built a fleet of more than 25,000 robovans operating across mainland China, while also expanding into parts of Southeast Asia and the Middle East, including Singapore and the UAE. That footprint could position the company as a notable participant in the autonomous logistics space if it proceeds with a listing, although investors may still weigh execution factors and evolving regulatory conditions tied to driverless delivery systems.
At the world’s largest industrial fair, Vale places the future with AI at the center of its stand and connects mining, energy transition, innovation, and environmental protection in the Amazon The mining company Vale participated in Hannover Messe, in Germany, considered the world’s largest industrial fair, to present what it calls the “mining of the future,” with less environmental impact and more technology. The exhibited proposal includes the use of future with AI in process stages, in addition to autonomous equipment, production circularity, and an immersive experience that takes visitors to “enter” the Amazon rainforest, where the company maintains one of its main iron ore operations. Vale’s presence at the event also had a political and symbolic component. According to the presented report, President Lula visited the company’s stand at the inauguration of Hannover Messe. In an exclusive interview with correspondent Américo Martins, Vale’s technical vice-president, Rafael Bitar, stated that the company wanted to show the strategic relevance of mining to the world, especially in the context of the energy transition, as minerals are the basis for technologies linked to a cleaner energy matrix. What Vale calls the future with AI in mining For Vale, the “mining of the future” is not limited to the mine. Rafael Bitar describes the concept as an integrated vision, connecting mining, sustainability, shared value, workforce, and intelligent operations. The central message is that there is no technology without mining, and that the demand for metals tends to grow in the coming years. - Scientists have discovered the switch that melanoma uses to create its own blood vessels and at the same time block the immune cells that should destroy it. - A phenomenon never before seen by astronomers: comet 41P almost stops in space, reverses its rotation, and surprises Hubble - Scientists collected bacteria