Third-party audit endorses Aurora’s autonomous trucking safety case Aurora Innovation says an independent review of its autonomous trucking safety case has validated the company’s approach to demonstrating the safety of its self-driving system, a move it says could help establish a new benchmark for transparency across the autonomous vehicle industry. Edge Case, an engineering firm specializing in autonomous systems safety, spent three months reviewing Aurora’s Safety Case — a structured, evidence-based argument intended to demonstrate that the company’s self-driving technology can operate safely on public roads. The review concluded Aurora’s Safety Case is “well-structured, substantively aligned with industry best practices, and actively maintained,” according to the companies. The assessment comes as Aurora expands its driverless trucking operations in the United States. The company launched a commercial driverless freight service earlier this year between Dallas and Houston and has since been growing its autonomous trucking network. Unlike traditional safety testing, a safety case compiles engineering analyses, simulation results, closed-course testing and real-world operational data to support claims that an autonomous system can safely perform its intended functions. Edge Case said its review examined both the overall structure of Aurora’s safety case and a representative sample of the supporting evidence. The evaluation compared Aurora’s documentation against guidance from the U.S. National Highway Traffic Safety Administration as well as industry standards, including UL 4600, ISO 26262 and the Autonomous Vehicle Safety Consortium’s case framework. “Our work with Aurora is a reflection of the industry’s growing interest in more open, rigorous, and independently validated approaches to safety,” said Nathan Parker, CEO of Edge Case. “This is how we raise the bar and build lasting confidence in autonomous systems.” Aurora Chief Safety Officer Nat Beuse said the independent assessment reinforces the company’s emphasis on safety as it deploys autonomous trucks commercially. “By reviewing our comprehensive
Jun 29, 2026 · via trucknews.com
Scania UK is presenting battery-electric, compressed natural gas and diesel trucks at the Road Transport Expo in Stoneleigh Park this week, giving fleet operators a ride-and-drive assessment of its commercial vehicle range across multiple powertrain types. An autonomous prototype from the truckmaker’s Red Bull collaboration and the launch of a new services campaign complete the display. Two battery-electric trucks feature in the ride-and-drive: a 24 P skip loader and a 40 P tractor unit. Scania’s battery-electric range now spans multiple cab variants, electric machines, axle lengths and battery configurations, drawing on its modular vehicle architecture to extend operator choice. Also on the stand is the R460 6×2*4 compressed natural gas truck, Scania’s first 6×2 gas model. The 13-litre Super diesel is also present, described as the truckmaker’s most fuel-efficient engine to date, with performance improvements distributed across the powertrain from engine and gearbox through to the rear axle. One of the autonomous trucks used in Scania’s 2025 Red Bull stunt is on display: mountain biker Matt Jones leapt between two moving trailers pulled by driverless trucks with no driver inside. Positioning the vehicle at a fleet-facing show carries a different register than the original social media moment. Scania has also launched a new services campaign at the show, Behind Every Delivery, covering its full support and maintenance portfolio. Erinion, Scania’s subsidiary charging firm, is also in attendance, demonstrating its depot charging offer to operators. Source: Scania UK
Jun 29, 2026 · via automotiveworld.com
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Jun 29, 2026 · via moomoo.com
World's First Autonomous Mining IPO Draws Top-Tier Cornerstone Lineup Including Fidelity, JPMorgan, and Barings HONG KONG, June 29, 2026 /PRNewswire/ -- EACON Group Co., Ltd. ("EACON", Stock Code: 07687.HK) launched the global offering of its H-shares today, marking the official start of its Hong Kong listing process. According to an announcement on the HKEX website, EACON plans to offer 26,132,000 shares globally, targeting gross proceeds of approximately HK$2.12 billion to HK$2.30 billion. As the world's largest provider of autonomous driving solutions for mining areas, EACON has secured a premium cornerstone investor base for its Hong Kong listing. Eleven institutional investors — Zijin Mining, XCMG, Fidelity International, J.P. Morgan Asset Management (Asia Pacific) Limited, Barings, Indus Funds, Jain Global, REGAL, GF Funds, CDH, and Seven Grand — have committed capital as cornerstone investors, taking total cornerstone subscriptions to the regulatory cap of approximately 50% of the offering. The roster spans global industry leaders, blue-chip international long-term capital, multi-strategy funds and leading Chinese institutional money, a vote of confidence that arrives amid broader market volatility and positions EACON to debut as the world's first listed autonomous-mining-truck company. Industry Leaders and Global Asset Managers Anchor the Cornerstone Tranche EACON is a technology company focused on autonomous driving for mining operations, having built a full-stack L4 autonomous driving system and integrated hardware-and-software solutions purpose-built for heavy-duty mining trucks. Amid intensifying competition to commercialise L4 autonomous driving, EACON has established a clear first-mover and technology advantage that has drawn sustained investor interest from inside and outside the industry. According to the prospectus, EACON has completed 11 financing rounds since its founding, raising a cumulative RMB 2.059 billion from investors including Zijin Mining and CATL, alongside institutions such as NIO Capital, Eight Roads, Hony Capital and Gaocheng Capital. Zijin Mining — the world's third-largest mining company
Jun 29, 2026 · via prnewswire.com
The findings, drawn from a 2026 survey of more than 1,000 supply chain, transport and logistics decision-makers at UK companies with annual turnovers above £100m, form the first of three reports under the banner The Future of Transport. They paint a picture of an industry where cost pressure is intensifying, investment is rising, but meaningful transformation remains out of reach for many operators. The proportion of respondents reporting higher costs due to transport logistics inefficiency has also grown, from 26% in 2024 to 36% this year — a ten-percentage-point jump that GXO says points to a structural problem rather than a cyclical one. Alongside the customer and cost impacts, around a quarter of respondents said they had faced penalties linked to contractual failures, just under a quarter said they had missed key sales periods such as Christmas, and more than a fifth said their market reputation had declined. Costs expected to keep rising Nearly nine in ten respondents (89%) expect logistics operating costs to increase over the next 12 months, including 37% who expect them to rise significantly. More than half — 52% — agreed that logistics decisions are driven purely by cost. Cost anxiety is particularly acute in consumer-facing and highly regulated sectors. In FMCG and fashion and apparel, 96% of respondents expect transport costs to rise over the coming year. The figure is 95% in healthcare, 93% in defence and aerospace, 90% in construction, and 89% in both IT and telecoms and packaging and manufacturing. Carl Hanson, Managing Director, Transport at GXO UK&I, said the role of a 3PL in this environment is to give customers the tools to control cost rather than simply absorb it. “The opportunity lies in identifying the true cost of inefficiency, including underutilised fleet capacity, suboptimal routing, fragmented networks and poor visibility,” he
Jun 29, 2026 · via trans.info
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Jun 28, 2026 · via youtube.com
China’s big trucks go electric and abroad as subsidies help pave road to net-zero freight Analysts say low ownership costs and battery gains are fuelling an export boom to regions such as Southeast Asia and Africa, positioning Chinese firms as main engines Domestic makers of heavy-duty trucks are emerging as the latest beneficiaries of accelerating electrification on China’s roads, as technological gains and lower ownership costs are bolstering overseas sales amid a global energy crisis. Southeast Asia and Africa, where Chinese makers have already established overseas assembly hubs, were expected to serve as new growth engines for companies ranging from FAW Jiefang to Foton Commercial Vehicles, according to analysts at S&P Global Ratings. The two markets “will remain key export destinations for Chinese manufacturers, supported by competitive pricing, strong loading capacity, and a broad product portfolio,” the rating agency said in a late-May research report. The finding came after Chinese truck makers reported a 33 per cent year-on-year jump in overseas sales during the first quarter of 2026. Export volumes topped 100,000 units, representing more than 30 per cent of their total deliveries, according to the China Association of Automobile Manufacturers. Buoyed by the rapid development of battery technology and by government subsidies, the cost of owning a pure electric heavy-duty truck – with a gross weight of at least 14 tonnes – has nearly reached parity with its diesel-powered counterpart, according to Chen Jinzhu, CEO of the Shanghai Mingliang Auto Service consultancy, noting that units were priced at about 500,000 yuan (US$73,500) after subsidies. Under Beijing’s trade-in award policy, a buyer replacing an old truck with an electric heavy-duty truck can receive up to 140,000 yuan from the government as China promotes its decarbonisation drive.
Jun 28, 2026 · via scmp.com
Amazon-owned Zoox has unveiled an updated version of its purpose-built robotaxi as it prepares to launch large-scale production at its manufacturing facility in Hayward, California. The latest iteration incorporates improvements based on feedback from more than half a million riders, extensive testing, and early driverless operations in Las Vegas and San Francisco. Designed from the ground up exclusively for autonomous ride-hailing, the Zoox robotaxi eliminates traditional driving controls such as a steering wheel, pedals, and driver’s seat. Instead, its fully symmetrical layout features four passengers seated face-to-face in a spacious cabin, creating a unique transportation experience focused entirely on rider comfort. More Comfortable and Practical Interior While the signature carriage-style seating remains unchanged, Zoox has introduced several refinishments aimed at improving comfort and usability. The interior now features a lighter, more minimalist color palette with monochrome aloe-green seats, stone-grey flooring, and matching trim. According to the company, the simplified design reduces visual distractions and creates a calmer environment for passengers. Comfort has also been enhanced with additional seat padding and redesigned ergonomic headrests. Everyday convenience has received attention as well, with larger cupholders, a redesigned wireless charging pad featuring textured fluting for better device stability, and flooring and trim materials that make personal belongings such as bags and smartphones easier to spot before exiting the vehicle. A brighter, more vivid touchscreen display has also been introduced to improve the overall user experience. “The updates we’ve made to this iteration of our purpose-built robotaxi continue to further distinguish the Zoox experience from anything else available today,” said Chris Stoffel, Director of Robot Industrial Design and Studio Engineering. “The simplicity of the elevated interior design does not demand a rider’s attention like so many of the features found in today’s passenger cars. Instead, riders can relax and enjoy the space as they
Jun 28, 2026 · via electriccarsreport.com
[Stay on top of transportation news: Get TTNews in your inbox.] Survey Says: Fleets’ Tech Investments Center on AI and Safety Safety Tech and Onboard Systems Among Emerging Technologies Highlighted by Top Carriers Managing Editor, Features and Multimedia Key Takeaways: - North America’s largest carriers said in Transport Topics’ Top 100 For-Hire Carriers survey they are prioritizing AI, safety technologies and connected systems to improve efficiency and decision-making. - Carriers emphasized AI-driven automation, predictive analytics and in-cab safety systems as delivering measurable gains in safety, driver retention and operational performance. - Looking ahead, fleets plan deeper AI integration, expanded safety deployments and gradual adoption of advanced technologies like autonomy and connected platforms as they mature. North America’s largest motor carriers are focusing much of their technology investments on artificial intelligence to improve back-office efficiency, automate processes and unlock better decision-making. Safety technologies and onboard video systems that help prevent crashes, support driver coaching and strengthen liability protection represent another clear priority for fleet operators. Numerous motor carriers outlined their views on current and emerging technologies as part of their responses to Transport Topics’ annual survey of for-hire carriers for its Top 100 list. The following comments are selected highlights from those survey submissions. “We believe the most impactful technologies are those that drive our safety culture. Our focus and priority surround the fusion of AI-powered hardware with sophisticated back-office automation to fundamentally enhance how we protect our drivers, the motoring public and the communities we serve. Currently, we are in the early stages of a fleetwide deployment of the latest AI camera technology, including both dash and side-view cameras. The real value, however, lies in how we use that data. By leveraging back-office automation, we can automatically deploy personalized coaching and training to our drivers based on their driving habits.”
Jun 27, 2026 · via ttnews.com
- Electric truck maker Telo still plans to deliver trucks by the end of the year. - The Mini-sized MT1 comes in rear-wheel or all-wheel drive, with a range as high as 350 miles. - Pricing starts at $41,520 for the single-motor RWD, or $46,019 for the dual-motor AWD. Options abound at telotrucks.com. Telo (rhymes with fellow) has not disappeared. In fact, the maker of the world’s cutest truck with the footprint of a Mini and the range of a Tesla Model Y, could be in showrooms by the end of the year, it says. Quick refresher: Telo was founded in 2022 in San Carlos, California (the same Silicon Valley town where Tesla had its lab to make the first Tesla Roadster). The founding notion of Telo was that pickup trucks had outgrown the city—you couldn’t drive even a mid-sized pickup in San Francisco or LA. So they designed a truck with a five-foot bed—bigger than a Ford Maverick’s bed, almost as big as a Honda Ridgeline, Chevrolet Colorado, or GMC Canyon, and the same size as a Jeep Gladiator and some models of the Ford Ranger and Toyota Tacoma. Inside, the Telo can fit five big adults—there’s a Telo video of a guy 6’8” being amazed that he fits, and other guys 6’5” raving about the space. Motor Trend’s Alex Leanse is 6’10” and he fit. But the footprint is right about that of the four-door Minis. The Telo MT1 is 151 inches long, 73 inches wide, and 67 inches tall. It comes with a configurable mid-partition that can increase the bed size to fit the all-important (to car reviewers) 4-by-8-foot sheet of plywood with the tailgate up, or to allow for a third row of additional seating for up to eight. The MT1 has your choice of one
Jun 27, 2026 · via autoweek.com
Tesla Semi testing showcases autonomy gear According to SawyerMerritt, Tesla Semi tested in Palo Alto with roof ground truth rig, 10 cameras, washers, and is billed as autonomy ready. SourceAnalysis On June 27 2026 a new Tesla Semi was spotted testing in Palo Alto California equipped with ground truth validation gear on its roof along with ten cameras and camera washers making the vehicle autonomy ready according to Sawyer Merritt on X. Key Takeaways - Tesla continues to advance vision based autonomy systems for heavy duty trucks using ten cameras that support real world validation testing in urban environments. - The autonomy ready designation signals progress toward commercial deployment of self driving semis that could transform long haul logistics operations. - Integration of camera washers highlights engineering focus on maintaining sensor reliability under varied weather and road conditions. Deep Dive into Tesla Semi Autonomy Development Tesla's latest Semi prototype incorporates ten cameras as the primary sensor suite for its autonomy stack. This approach aligns with the company's vision only strategy that avoids reliance on lidar or radar in production vehicles. Ground truth validation gear mounted on the roof allows engineers to compare real time perception outputs against precise location data during Palo Alto road tests. AI Technology Components The camera array provides 360 degree coverage essential for detecting vehicles pedestrians and lane markings in complex traffic. Camera washers ensure continuous clear imagery which is critical for neural network performance during extended highway runs. These hardware choices reflect ongoing refinements in Tesla's end to end neural network training for truck specific maneuvers such as tight turns and docking at loading docks. Business Impact and Opportunities Autonomous Tesla Semis present significant market opportunities in freight transportation where labor shortages and fuel costs remain persistent challenges. Companies in logistics can explore monetization through
Jun 27, 2026 · via blockchain.news
Related: Why Volvo Sees Autonomous Trucks as an All-New Logistics Mode Waabi, Volvo Claim Breakthrough in Scaling Autonomous Trucking Waabi says its AI-powered virtual driver successfully transferred to Volvo Autonomous Solutions' Volvo VNL Autonomous platform without retraining or additional data, a milestone the companies say could dramatically accelerate commercialization of autonomous trucks. Waabi and Volvo Autonomous Solutions (VAS) say they have achieved a significant milestone in autonomous trucking. The breakthrough demonstrates that Waabi's AI-powered virtual driver can operate a new truck platform without requiring additional training, engineering or data collection, the companies said. The achievement marks an important step toward making autonomous trucking technology more scalable and commercially viable by allowing a single AI driving system to transfer seamlessly between different vehicle platforms, according to both companies. Zero-Shot Transfer to Volvo VNL Autonomous According to Waabi, its AI-based Waabi Driver was integrated with the Volvo VNL Autonomous platform and successfully operated on both highways and complex surface streets without requiring new real-world data, simulation data or fine-tuning. The company describes the accomplishment as "zero-shot generalization." This means the virtual driver was able to adapt immediately to a completely different truck platform despite differences in vehicle size, sensor configurations, control systems and physical characteristics. Waabi said the Volvo VNL Autonomous performed safely and smoothly from its first mile on public roads using the Waabi Driver. The company argues that overcoming what it calls the "embodiment generalization" challenge has historically been one of the largest technical hurdles facing autonomous vehicle developers, with most systems requiring extensive engineering work whenever they are adapted to a new vehicle platform. Waabi also noted that its AI system previously demonstrated the ability to expand beyond highway driving into more complex surface-street environments, giving the company confidence that the technology could generalize across both driving environments and
Jun 26, 2026 · via truckinginfo.com
To address labor shortages and rising delivery demand, the Japanese government has approved the “Logistics Policy Outline,” accelerating the adoption of contactless delivery methods such as “placement delivery” and targeting a usage rate of 50% by fiscal 2030. TOKYO, JAPAN (MERXWIRE) – The Japanese government formally approved the Logistics Policy Outline, setting a goal to double the share of non-face-to-face package deliveries to 50% by fiscal 2030. The policy is part of a broader effort to tackle structural challenges in the logistics industry. The Cabinet resolution specifies the promotion of contactless delivery modes, including placement delivery, combining regulatory measures with technological innovations to enhance overall delivery efficiency and reduce pressure on human resources. As e-commerce continues to grow rapidly, Japan’s package delivery volume has surged, but the logistics sector faces chronic driver shortages and increasing delivery burdens. Government estimates indicate that without intervention, Japan’s transport capacity could face a 25% shortfall by fiscal 2030, equivalent to roughly 720 million tons. Placement delivery allows delivery personnel to leave packages at designated locations, such as home entrances, parcel lockers, parking lots, or bicycle baskets, without requiring the recipient’s signature. This approach reduces repeated delivery attempts and waiting times, and is increasingly viewed as a key solution for Japan’s logistics challenges. The Kanto Smart Living Cooperative noted that promoting non-face-to-face delivery can help improve overall logistics efficiency and ease labor shortages. They also recommend strengthening support measures, such as improving package security, increasing public trust in placement delivery, and encouraging communities to install smart parcel lockers, ensuring the policy’s long-term effectiveness. A Tokyo delivery worker said that repeated attempts due to absent recipients were common, sometimes requiring “two or three trips to the same address in one day.” Since placement delivery has been gradually adopted, he added, “delivery efficiency has improved noticeably, and
Jun 26, 2026 · via southbendtribune.com
Waabi says AI driver successfully transferred to Volvo truck without retraining Autonomous trucking developer Waabi says it has achieved what it describes as an industry first: transferring its virtual driver from one autonomous truck platform to another without requiring any additional training or engineering work. The Toronto-based company announced its AI-powered driving system, the Waabi Driver, was successfully integrated onto a Volvo VNL Autonomous truck developed by Volvo Autonomous Solutions. According to the company, the system operated autonomously on both highways and surface streets from its first mile without requiring new real-world data, simulation data, fine-tuning or software modifications. Waabi describes the achievement as “zero-shot generalization,” meaning the AI system was able to adapt immediately to a different truck platform despite changes in vehicle dimensions, sensors, control systems and physical characteristics. The Waabi Driver had previously been trained to operate a Peterbilt 579 autonomous truck. The announcement addresses one of the major technical hurdles facing autonomous trucking. Traditionally, moving an autonomous driving system from one vehicle platform to another has required extensive engineering, validation and additional data collection before commercial deployment, Waabi says. It argues its AI architecture was designed from the outset to function more like a human driver, applying learned driving skills across different vehicles rather than requiring retraining for each new platform. The company also says the AI has expanded beyond highway driving, adding operation on urban surface streets and more complex driving environments. “Road testing the Volvo VNL Autonomous, integrated with the Waabi Driver, on public roads is an important proof point of our partnership with Waabi,” said Nils Jaeger, president of Volvo Autonomous Solutions. “It also demonstrates the scalability of Volvo’s autonomous truck platform, which is designed to integrate different vehicle models and virtual drivers to enable a wide range of use cases and applications.”
Jun 26, 2026 · via trucknews.com
The Russian government has established initial legal guidelines for the use of driverless mine dump trucks in open-pit mining by mining company GDK Baimskaya at the Peschanka copper-porphyry deposit in Chukotka, the regional government has stated. The Peschanka deposit is one of the world’s largest undeveloped copper and gold deposits. Chukotka is in the far northeast of Russia and has a difficult operating climate, with weather characterized by cold northerly winds that can quickly change to wet southern winds. Cape Navarin has the highest number of hurricanes and storms in Russia, while temperatures can reach -45 in the winter months. The use of driverless trucks is therefore less dangerous and more efficient under such conditions. The project will involve the use of 50 driverless dump trucks with a capacity of 330 tonnes each on a service road between the mine and the processing plant, a closed road intended only for driverless vehicles. Georgy Fotin, the CEO of GDK Baimskaya, said, “The legal guidelines are strategically important for the Baimsky project. It creates the legal conditions for the introduction of Russia’s first fully automated, artificial intelligence-controlled mining model.” GDK Baimskaya’s project involves the development of the Peschanka copper deposit in the Baimskaya ore zone and construction of a mine and processing plant with a capacity of 70 million tonnes of ore per year. The first phase, with a capacity of 35 million tonnes, is scheduled to go into operation in 2029, with the second phase following in 2030 to double capacity. Capital expenditures in the development of the Baimskaya zone were earlier estimated at about US$8.5 billion. Annual production is expected to average 300,000 tonnes of copper and 490,000 ounces of gold in the first full ten years of operation. 300-tonne dump trucks are ultra-heavy haulers operating in Russian coal and
Jun 26, 2026 · via russiaspivottoasia.com
The world's hardest problems have a way of attracting a certain kind of person. Not the ones looking for easy wins, but the ones who look at something that seems almost impossible and decide that's exactly where they need to be. Canada has no shortage of those people. Canadians willing to dedicate themselves to finding solutions with a fundamentally different approach. And in doing so, building solutions with the potential to touch millions of lives. Meet AWS Canada's AI Innovators: nine organizations using artificial intelligence to tackle challenges that range from the molecular to the planetary, spanning healthcare, education, climate, transportation, drug discovery, and robotics. They don't build technology for technology's sake. They build it because the problems are too important not to. These are their stories. 1. AlayaCare: Helping deliver better patient outcomes Montréal, Québec A home care nurse is sitting in her car, reviewing a patient file on her phone. In twenty minutes, she’ll walk into the home of an 82-year-old man recovering from a hip replacement—and thanks to AlayaCare, his history is already summarized before she rings the doorbell. That’s the shift AlayaCare is creating. The company uses AI-powered software to help home care agencies improve patient outcomes by giving caregivers more time to focus on care, not administration. With Amazon Bedrock, AlayaCare built Layla, an AI assistant that delivers real-time patient summaries, and AlayaFlow, an agentic workflow engine that streamlines scheduling, visit verification, and care-plan generation. “We’re oriented around better patient care in the home,” says Founder and CEO Adrian Schauer. “Technology is just the enabler.” See AlayaCare transform homecare with agentic AI. 2. Haply Robotics: Teaching robots to feel Montréal, Québec For nearly six decades, robots have had eyes, ears, and arms—but never true touch, making tasks that require feeling pressure, detecting slip, or handling
Jun 26, 2026 · via aboutamazon.ca
Are your mining operations automated? Navigating Canada’s evolving regulatory landscape The deployment of autonomous systems in the Canadian mining sector reflects the industry’s continued evolution from technological developments. While such systems (including automated trucks) can offer improvements in efficiency and productivity, the introduction of this technology requires navigation of a developing regulatory framework that varies across provincial jurisdictions. Understanding evolving regulatory and compliance requirements is essential for mining companies seeking to implement automated technology. Automation and emerging regulatory considerations The mining industry in Canada has started to embrace automation as a productivity enabler, recognizing it as a factor in improving the efficiency and sustainability of certain mining methods (Global Mining Guidelines Group, Guideline for the Implementation of Autonomous Systems in Mining, 2024). While recent estimates indicate that less than 3% of mobile mining equipment is currently autonomous, we can expect this proportion to increase, and numerous original equipment manufacturers are now offering automated solutions in the mining sector, including mining trucks, haul loaders and drills (CS Group/Mining Sector, Position Paper: Evolution of the mining sector through autonomous systems, 2025). One of the key benefits of autonomous systems is the reduction of extensive human presence in hazardous operational areas while increasing production efficiencies. Ensuring the safety of these systems, however, remains a paramount concern for both mining operators and government regulators, as there is the potential for evolving risks, including cybersecurity and data privacy concerns, system configuration and reliability issues, and new categories of human-machine interactions. Consequently, existing regulatory regimes, including occupational health and safety requirements targeting manually operated equipment, may be inconsistent with the functionality of autonomous operations. Regulations that refer to drivers, for example, may not directly apply to autonomous vehicles where the traditional role of a driver is replaced by an automated control system. Because these regulations were
Jun 26, 2026 · via canadianminingjournal.com
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Jun 26, 2026 · via youtube.com
Canada's AI Innovators Creating breakthroughs in Canada and beyond Waabi: Revolutionizing autonomous transportation through Physical AI Twenty-seven years ago, long before the rest of the world caught on, Raquel Urtasun began building a new kind of artificial intelligence. Meet Raquel Urtasun Founder and CEO, Waabi What researchers now call Physical AI: systems and machines that can perceive, reason and act with the world around them. This technology can act and learn like humans do—generalizing from very few examples, scaling across environments, and adapting to new conditions faster than anything the industry has seen before. The applications are vast. But when Urtasun looked for where that work could have the greatest impact, the answer was clear: self-driving vehicles. Transportation moves everything. People, food, medicine, the raw materials of daily life. And it was breaking. Long-haul trucking faces a growing driver shortage. Urban roads are increasingly congested and inefficient. The systems that move people and goods are straining under their own weight. "This is where machines can really come to our rescue," Urtasun says. So she built Waabi. Based in Toronto, the company is pioneering Physical AI by taking a fundamentally different approach, starting with autonomous vehicles like long-haul trucks and robotaxis. Where others spent years hand-coding rules for every driving scenario, Urtasun and her team at Waabi built an AI system that learns, one that can adapt to new conditions, scale faster, and reach markets sooner. She named it after the Ojibwe word meaning "she has vision," a tribute from an immigrant to the original inhabitants of the land where she chose to build. "I wanted to honour that connection," she says. "And it reflects what we're doing: bringing a completely new vision to solving self-driving.” Breaking away from the road-testing trap The traditional approach to self-driving technology was focused on
Jun 26, 2026 · via aws.amazon.com
(Yicai) June 26 -- Major Level 2 Navigate on Autopilot (NOA) solution provider Momenta has filed for a Hong Kong initial public offering, marking the latest step in its listing process. China International Capital Corporation and Deutsche Bank are acting as joint sponsors for the offering, according to the recently filed prospectus. Founded in September 2016, Momenta develops AI-powered driver-assistance software (Mass Production) and even more autonomous L4 driving technologies (Scalable Robo). Its commercial products include solutions for self-driving taxi Robotaxi and autonomous commercial van Robovan, with plans to expand into autonomous trucks (Robotruck) by 2027. The IPO comes as China's urban NOA market approaches an inflection point. China Insights Consultancy expects urban NOA penetration in China to rise from 11 percent in 2025 to 62 percent by 2030, while third-party suppliers' market share is projected to reach about 75 percent. According to the research firm, Momenta holds a 65 percent share of China's third-party urban NOA supplier market by sales. Expanding Market Opportunity Momenta is well-positioned to benefit from that growth. CIC forecasts annual sales of urban NOA solutions will increase from 2.6 million units in 2025 to 18.2 million units in 2030, representing a compound annual growth rate of about 48 percent. Momenta and Huawei HI currently account for more than four-fifths of the market. In the autonomous mobility market, CIC estimates China's robotaxi market will reach about USD38.1 billion by 2030, with penetration rising to around 12 percent. Momenta has formed robotaxi partnerships with ride-hailing platforms Uber, Grab, Xiangdao Chuxing, and carmaker Mercedes-Benz Group across Asia, Europe, and the Middle East, and plans to launch services in multiple new cities globally this year. As of June, more than 900,000 mass-produced vehicles had been equipped with Momenta's systems. The company has delivered more than 100 vehicle models and
Jun 26, 2026 · via yicaiglobal.com