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SHIFFT accelerates <b>autonomous vehicle</b> deployment in ports and airports

Autonomous vehicle technology developer Oxa and Dubai Future Foundation (DFF) have announced the launch of launch of SHIFFT. SHIFFT is joint venture that will establish Dubai as a global hub for autonomous logistics and will incorporate self-driving technology into a fully integrated autonomous logistics and worksite intelligence product. The partnership hopes that this will enable end-to-end operational deployment and unlock productivity, efficiency and safety gains for customers. SHIFFT will launch its first scalable commercial deployment in Dubai before the end of 2027, with the focus of the joint venture on putting autonomous vehicles to work in ports and airports. The autonomous systems deployed by SHIFFT will utilise Oxa’s configurable self-driving software, Oxa Driver, paired with Oxa’s cloud-based fleet management software, Oxa Hub. Oxa’s autonomy hardware systems will also be utilised, which are designed to integrate with existing vehicle fleets. Reportedly, SHIFFT forms an integral part of Dubai’s Research, Development, and Innovation (RDI) Programme, launched in November 2024 by DFF, which aims to boost the knowledge-based economy, create high-tech jobs, and establish Dubai as a regional R&D hub. DFF’s RDI Ecosystem chief Khalifa Al Qama said: “To achieve Dubai’s ambition of doubling foreign trade by 2033, we must continue to develop and deploy solutions that strengthen the speed, efficiency and resilience of our logistics sector. “SHIFFT reflects the purpose of the Dubai RDI Programme – bringing together global expertise and local capabilities to develop commercially viable solutions with real-world impact. “Through this joint venture, we are advancing autonomous mobility, creating new economic opportunities and strengthening Dubai’s position as a global hub for the future of logistics.” IntraLogisteX 2026 takes place on 17-18 March 2027 at the NEC Birmingham. For exhibitor information and visitor registration, visit the official event website at www.intralogistex.co.uk

Africa gets another unicorn from Nigeria valued at $2.1 billion, making it a top 3 startup firm ...

- Moove, founded by Ladi Delano and Jide Odunsi in 2020, has reached a $2.1 billion valuation after raising $250 million in a Series C round, making it Africa’s latest tech unicorn. - The funding round was led by Mubadala Investment Company and included major investors such as Toyota's Woven Capital, Ion Pacific, BlackRock, and Uber. - Moove plans to use the capital to expand its autonomous vehicle division, acquire autonomous fleets, build robotics-focused depot facilities, and increase its workforce to 500 staff. - Originally solving vehicle financing for African ride-hailing drivers, Moove uses a revenue-based repayment model and has since grown rapidly across multiple continents. Last year, reports indicated that Moove, a vehicle financing startup that serves Nigerian drivers, led by British-Nigerian entrepreneur Ladi Delano, was gunning for the seemingly elusive unicorn status. DON’T MISS THIS: One of Africa’s largest fintechs is leveling the business playing field between men and women in Nigeria After raising $250 million in a Series C round, augmenting the company’s valuation to $2.1 billion, Moove has cemented itself as Africa’s latest unicorn. As seen on Condia, the funding was led by Mubadala Investment Company, alongside Woven Capital, Toyota's growth fund, and Ion Pacific. Together with existing investors including BlackRock, MUFG, Franklin Templeton, and Uber, new participation was secured from BlueCrest Capital Management, Sona Asset Management, and The Raptor Group. The allocated capital will be utilized to expand Moove's autonomous vehicle division. This move involves the acquisition of autonomous fleets and the establishment of "Nests," which are robotics-centric depot facilities dedicated to the charging, maintenance, and repair of self-driving vehicles. Concurrently, Moove intends to expand its autonomous vehicle workforce by approximately 220%, increasing the headcount from roughly 150 to 500 personnel by the end of the year. Moove’s ascent to unicorn status In 2020, Nigerian

Driverless <b>cars</b> could cut DFW traffic delays by 30%

Gridlock across the Dallas-Fort Worth metroplex could become significantly easier to navigate in the coming decades—and regional planners might not even need to lay new highway pavement to achieve it. A new study led by SMU civil and environmental engineering professor Khaled Abdelghany suggests that the widespread adoption of connected and autonomous vehicles (CAVs) will dramatically improve North Texas commute times by 2045. Smother Traffic, Not Just More Lanes Traffic jams aren't caused strictly by the volume of cars on the road; stop-and-go driving habits, sudden braking, and speed fluctuations cripple road efficiency. Autonomous vehicles eliminate much of that human variability. "Traffic congestion is often driven not only by high demand but also by speed variability and stop-and-go behavior, which reduce flow efficiency," explains Abdelghany, a fellow at the Stephanie and Hunter Hunt Institute for Engineering and Humanity. "Autonomous vehicles may help mitigate these effects through smoother and more coordinated driving." Inside the Study: 25 Scenarios Tested To evaluate how self-driving technology could handle North Texas traffic demands, Abdelghany’s team collaborated with Behruz Paschai (Texas Transportation Institute) and Abby Morgan (Kittelson & Associates, Inc.). Using the Transportation Analytical Forecasting Tool (TAFT)—an advanced regional model developed by the North Central Texas Council of Governments (NCTCOG) covering 13 DFW counties—the researchers ran 25 distinct experiments across corridors like U.S. 75 and Interstate 635. They benchmarked adoption rates at 25%, 50%, and 100% against a projected 2045 baseline assuming zero autonomous vehicles. The study explored three key dynamics: - Varying market penetration of driverless vehicles. - Real-time vehicle-to-infrastructure (V2I) communication between cars and traffic signals. - Commuter relocation patterns enabled by hands-free driving. Key Findings by 2045 Published in the Journal of Urban Technology, the study highlights several major takeaways for DFW commuters: - 33% Drop in Delays: Reaching 100% autonomous vehicle adoption

Moove raises $250M to build infrastructure for <b>autonomous vehicles</b>

Moove today announced it raised $250 million in Series C funding. This latest round brings the company’s valuation to $2.1 billion. The funding will support Moove’s expansion of its autonomous vehicle business, including autonomous fleet ownership and robotics-first depot infrastructure “Nests.” At these Nests, Moove will charge, service, maintain, and orchestrate autonomous fleets for continuous operation. Additionally, Moove plans to use the funds to support new market launches around the world. As part of this expansion, Moove expects to grow its autonomous vehicle workforce by more than 220% by the end of the year, increasing from around 150 employees today to 500. “Every major technology revolution becomes an infrastructure race,” Ladi Delano, the co-founder, co-CEO and advisory board chairman of Moove, said. “The internet required data centers. AI required compute. Autonomy requires fleets, charging, maintenance, data systems and 24/7 operations in every city – and that is what Moove is building. In our view, as autonomy scales, infrastructure ownership and operations will define the category leaders. We are building to be one of them.” Mubadala Investment Company, Woven Capital, Toyota’s Growth Fund, and Ion Pacific led the round. It also brings in BlueCrest Capital Management, Sona Asset Management, and The Raptor Group, further strengthening the depth of Moove’s institutional backing. BlackRock, MUFG, Franklin Templeton, Uber, Left Lane, Silverbacks Holdings, Square Associates, The Latest Ventures, Endeavor Catalyst, and the Ontario Power Generation Pension Plan also participated in the round. For AVs to scale to a large transportation network, they need infrastructure Scaling autonomous mobility requires more than vehicle technology alone. It depends on access to capital, fleet ownership, charging infrastructure, maintenance, operational orchestration systems, and 24/7 city-level execution. Moove is building that infrastructure layer to enable autonomous mobility to scale to large transportation networks. Since 2020, Moove has built the capital,

Zoox to start charging for robotaxi rides in Las Vegas

Nearly a year ago, Zoox opened its robotaxi service to the public in Las Vegas. Now, it is ready to start charging for those rides. The Amazon-owned autonomous vehicle technology company said that it will start charging for rides in Las Vegas starting August 10, marking the launch of its commercial operations. The company has spent years working toward this moment. The Silicon Valley startup was founded in 2014 with a plan to develop a custom-built electric vehicle and the self-driving stack that would drive it, as well as an on-demand ridesharing app. The company was acquired by Amazon in 2020, and later that year unveiled its robotaxi, a cube-like vehicle equipped with a self-driving system, loads of sensors, and a moonroof, but no steering wheel or pedals. Zoox has spent the past six years testing the vehicle and updating the hardware. Zoox has faced a number of hurdles over its 12 years, spanning funding, technical development, securing the proper permits for testing, and even several recalls. One major obstacle was lifted last week when federal safety regulators gave Zoox a temporary exemption from certain federal motor vehicle safety standards. The exemption, issued by the National Highway Traffic Safety Administration (NHTSA), allows the company to charge customers for rides in its robotaxis. Because Zoox vehicles lack many of the traditional controls required under federal law, it needed an exemption in order to operate. Zoox received an exemption last year that allowed it to demonstrate its robotaxis, but not charge. The commercial exemption, which lasts two years and allows Zoox to deploy up to 2,500 vehicles, spans eight federal motor vehicle standards, including windshield defrosting and light vehicle braking systems. The startup also offers robotaxis in other markets, such as San Francisco and Austin, but it will have to offer them

China unveils first mandatory safety rules for <b>autonomous vehicles</b>

China introduced on Tuesday its first mandatory national safety standards for advanced autonomous vehicles, requiring automakers to build end-to-end safety systems before deploying Level 3 and Level 4 self-driving technologies on roads. The Ministry of Industry and Information Technology said the new standard on safety requirements for automated driving systems of intelligent connected vehicles will take effect on July 1. ALSO READ: Testing out the future of transport The move comes as global automakers and technology companies race to bring autonomous driving from testing grounds into everyday transportation. China granted conditional access approval to two L3 autonomous driving vehicle models in 2025, marking an early step toward broader commercial deployment. Under the new standard, automakers will be required to establish full-lifecycle safety management covering vehicle design, development, manufacturing and post-deployment operation. Companies must implement risk management systems, conduct simulation tests, closed-course testing and real-world road trials before deploying autonomous driving functions. READ MORE: China strengthens role in autonomous driving standards The standard also introduces clearer requirements for human-machine interaction, an issue that has become increasingly important as drivers shift between automated and manual control. For L3 vehicles, manufacturers must equip systems with the ability to monitor whether drivers are ready and able to take over when required. Companies must also clearly inform users about the vehicle's automation level, operational boundaries, limitations and responsibilities through user manuals, websites and in-vehicle displays.

Lucid's turnaround plan hinges on $1.4B in cash savings, robotaxis | TechCrunch

Lucid Motors said Tuesday that its “operational reset” will focus on $1.4 billion in cash reductions along with three other “must win” and potential money-making priorities that include robotaxis, its factory in Saudi Arabia, and launching a mid-sized electric vehicle. But that mid-sized vehicle, which is supposed to start at under $50,000, is now delayed until next year. It was supposed to start shipping by the end of 2026. “Our objective is clear: Mid-size will launch only when every process and quality requirement have been met,” Lucid’s new CEO Silvio Napoli said on a conference call Tuesday. “We will not repeat the mistakes of the past by bringing a product to market before it is ready.” The turnaround plan, led by Napoli, aims to pull Lucid out of its spiral of growing EV inventory and unchecked spending. To reach that $1.4 billion in cash savings, Lucid said it will reduce capital expenditures by $500 million and projected savings of between $600 million and $800 million in inventory, according to its second-quarter earnings statement. The company said it will also reduce operating expenses by $200 million. The effort, if successful, will provide sufficient liquidity runway well into 2027, Napoli said during Tuesday’s earnings call with investors. Napoli didn’t mince words during his first quarterly earnings call as CEO. “The way we operate has to change,” he said. “While there is no question that Lucid brought leading innovations and outstanding products to the market, we have disappointed on several fronts, and for far too long. We have not executed consistently, we miss commitments, launched products before they were ready, underinvested in service, responded too slowly to quality issues, and allowed complexity to slow decisions down.” Napoli has already set some of this plan in motion. The company has shaken up its leadership

<b>Autonomous</b> A2Z signs $7.7mn deal to export self-<b>driving</b> technology to UAE

South Korean physical artificial intelligence (AI) company Autonomous A2Z Co. said on Tuesday that it has signed an 11 billion won ($7.69 million) autonomous driving export contract with Space42 PLC, an AI company based in the United Arab Emirates. Under the agreement, the two companies will collaborate on a Smart Mobility Convergence Project to convert vehicles and expand services for TXAI, an autonomous driving service operated by Space42 in the UAE. The contract, valued at 27.91 million dirhams (about 11 billion won), is a direct supply agreement separate from a UAE joint venture previously established by the two companies. As part of the deal, Space42 will replace all of the Chinese-made autonomous vehicles currently used for its TXAI service with vehicles supplied by Autonomous A2Z. The supply includes a total of 19 autonomous vehicles: eight ROii Level 4 driverless roboshuttles developed by Autonomous A2Z, five autonomous vehicles based on Kia Corp.’s PV5 platform, five based on the Kia Carnival, and one based on a MAN bus. The ROii vehicles will be manufactured in Korea and shipped to the UAE as completed vehicles in the second half of this year, while the remaining vehicles will be procured locally and converted into autonomous vehicles. Autonomous A2Z’s full-stack capabilities—including autonomous driving technology, fleet management, and service operations—will be integrated into the TXAI service. Autonomous A2Z plans to build an integrated operations infrastructure, including a control system and remote-control cockpit, and enhance operations by linking the supplied vehicles with Space42’s application to provide ride-hailing services. Some of the vehicles will begin pilot roboshuttle operations on Saadiyat Island and Yas Island in Abu Dhabi in the second half of this year. The deployment schedule for the autonomous bus has yet to be determined. After validating local road conditions and customer demand, the service is expected

TIER IV to jointly develop next-generation development platform with Astemo, accelerating ...

TOKYO, Aug. 4, 2026 /PRNewswire/ -- TIER IV, the pioneering force behind open-source software for autonomous driving, has signed a memorandum of understanding (MoU) with Astemo, to jointly develop a next-generation software development platform for autonomous driving systems. Through this collaboration, the two companies will leverage TIER IV's Co-MLOps solution – collaborative data-sharing technology – to build Astemo's next-generation development platform, enabling the continuous development and improvement of production-quality end-to-end (E2E) autonomous driving AI models, with commercialization targeted around 2030. Astemo aims to deploy E2E autonomous driving AI models in passenger vehicles in the early 2030s using this development platform. E2E autonomous driving AI models – which integrate perception, planning and control into a single learning process – are emerging as a foundational technology for next-generation advanced driver-assistance systems (ADAS) and autonomous driving systems. As autonomous driving technology advances, TIER IV is working toward Level 4+ autonomy to gradually expand fully autonomous driving into more complex environments. E2E AI models are a key technology for achieving this goal. Bringing these models to production readiness requires compliance with automotive safety and manufacturing standards. It also demands an AI development infrastructure capable of continuously collecting, processing, training and evaluating large-scale driving data. Such infrastructure forms the foundation for the continuous evolution of E2E AI models and will be a key source of competitiveness for future production autonomous driving systems. Through their involvement in the Autoware Foundation (AWF) and SOAFEE, TIER IV and Astemo previously collaborated on the reference implementation of Open AD Kit, a cloud-native framework for autonomous driving development based on Autoware. Astemo is also involved in TIER IV's Co-MLOps project, launched in January 2024. This latest initiative deepens their partnership and expands TIER IV's data-sharing platform for autonomous driving AI development. TIER IV leads the development of Autoware and advances

Zoox unveils production-ready robotaxi for U.S. expansion

Armed with feedback from more than half a million riders, autonomous vehicle pioneer Zoox has unveiled the final production design of its purpose-built robotaxi. The company said its latest vehicle will ready its custom, driverless fleet for mass manufacturing and immediate commercial expansion. Zoox opened its robotaxi service to the public in Las Vegas a year ago. Since then, the company has continued to expand the service to new cities across the nation. The Amazon-subsidiary is in a race to harden and optimize its software and ultimately begin revenue-generating rides in Las Vegas. Free/trial service will continue in San Francisco, with new services coming to Austin, Miami, Dallas and Phoenix. What sets Zoox apart from competitors like Waymo is what Zoox describes as a “carriage-like” user cabin. The Zoox vehicles have no steering wheel or pedals inside the cabin. The vehicle is designed for four adult passengers, who sit facing each other inside the cabin. In late June 2026, the newest generation of Zoox vehicles was released to the field. Inside the new robotaxi Inside, the cabin shifts to a lighter, more relaxed aesthetic with monochrome aloe-green seating paired with stone-grey trim and flooring. According to the company, it designed the simplified color palette to minimize visual distractions and create a calmer atmosphere for passengers. Beyond aesthetics, the revised materials are built to withstand urban wear and tear while offering higher contrast, making forgotten personal items like phones and bags easier to spot before exiting. “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, the 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

Insights From Virginia Tech Experts As <b>Autonomous</b> Warfare Moves To The Water

What does that mean for the future of drone and robotic warfare? Virginia Tech aerospace and ocean engineering experts Craig Woolsey and Mingi Jeong share takeaways about the importance of autonomous research and workforce development in national security. Seeing New Kinds of Interconnected Robots “What makes this example in Ukraine unique is not simply that an uncrewed boat reached its destination, but that it deployed a different type of robotic system to perform a follow-on task,” Jeong said. “As the technology evolves, we will likely see increasingly capable teams of heterogeneous robots combining aerial, surface, underwater, and ground platforms,” he added. “Because of that, field reliability, cybersecurity, and trustworthy decision-making will become increasingly important.” Autonomous Sea Transportation Is on the Rise “More than 80 percent of global trade by volume is transported by sea, and autonomous technologies could contribute to safer and more efficient maritime transportation,” Jeong said. “Robotic capabilities can also support environmental monitoring, ecosystem assessment, infrastructure inspection, aquaculture, oil-spill response, search-and-rescue missions, and more.” Autonomous Technologies Will Be Everywhere Woolsey said the evolution of autonomous vehicles is happening quickly and across domains. “The biggest advances aren’t just in robotics,” he said. “They’re coming from improvements in batteries, computing, sensors, cameras, and communications, largely driven by consumer electronics. Together, those technologies are making autonomous systems far more capable than they were even a decade ago.” Woolsey added, “Virginia Tech is focused on the boundaries between air, land, sea, and space, which is where the hardest engineering problems exist.” Both experts said it will be important to train the future workforce to understand the applications of these technologies while doing so ethically and responsibly. “Virginia Tech students don’t just learn engineering,” Woolsey said. “They learn to solve problems for society. That mindset is urgently needed as autonomous technologies continue to

<b>Car</b> buyers favor driver assist, safety over autonomy features

Affordability concerns push car buyers to driver-assistance tech over pricey autonomy features, survey shows Featured Stories Lucid delays crossover to 2027 after $1 billion Q2 loss, details plan to save cash The EV maker seeks to avoid the quality issues that marred the launches of its previous models and ensure its new Saudi factory is ready.

Peugeot begins next phase of 9X8 development

Team Peugeot TotalEnergies has announced that it has started “the next chapter in the evolution of the Peugeot 9X8”, as it targets approval for the new vehicle for the 2027 FIA World Endurance Championship season. Drawing on the experience gained in the car’s debut in the Hypercar category, Team Peugeot TotalEnergies is working on a series of technical evolutions aimed at enhancing performance, efficiency and competitiveness and said that this latest step marks an important milestone in the ongoing development of the Peugeot 9X8. “Since its debut, the Peugeot 9X8 has been a platform in constant evolution. Competing at the highest level of endurance racing means continuously learning, adapting and progressing,” said Emmanuel Esnault, team principal, Team Peugeot TotalEnergies. “The intensity of competition at a world championship level reinforces our determination to keep evolving. Our objective is clear: to position the 9X8 consistently among the top contenders. “As we look ahead to 2027, the team is taking the next step in its development, focused on a revised approach to performance, efficiency and design. This work is a key milestone in preparing the next chapter of the Peugeot 9X8 story and perpetuating the legacy of Peugeot in endurance racing.” Recent news, Göpel Electronic launches modular battery cell tester

Waymo opens up robotaxi service in Dallas to everyone

Autonomous car maker Waymo has dropped the waitlist for its robotaxi service in Dallas, opening it up to all residents and visitors. This is the latest step in the Alphabet-owned company’s bid to scale its self-driving technology across Europe, the United Kingdom, and the United States. Waymo said Tuesday that anyone can now download the app and immediately hail one of its robotaxis in Dallas. For now, riders won’t be able to hail a ride to Dallas Love Field Airport. The company said it continues to test its self-driving vehicles at the airport and expects to serve riders there “soon.” The company has had a presence in Dallas since last year, when it began testing its technology on public streets and announced plans to launch the service there in 2026. At the time, the company said it would partner with Avis Budget Group to manage its fleet of all-electric autonomous Jaguar I-Pace vehicles. Avis handles general depot operations, including charging and maintaining the vehicles. Waymo opened the service to the public in February, but initially limited access through a waitlist. Waymo said about 150,000 riders used the Waymo app during this period. Waymo no longer has the waitlist, following a robotaxi playbook that it has used in every other market, including Phoenix, Los Angeles, and San Francisco. The company’s entry into Dallas had some early hiccups. In May, Waymo paused its service in Dallas, Houston, and San Antonio, Texas, as well as Atlanta, due to problems with how its robotaxis handled heavy rain and flooded roads. While robotaxi services have resumed in these cities, Waymo said it may adjust or temporarily pause operations based on severe weather, flood warnings, and real-time conditions in the future. A Waymo spokesperson said riders can check the status of its service via the Waymo

Ride-Booking Unions Raise Specter of Same for Other Gig Workers

As a SHRM Member®, you’ll pave the path of your success with invaluable resources, world-class educational opportunities and premier events. Validate your skills with the gold standard in HR Expert-led training for real workplace change Go deep in your niche. Stand out in your field. Bring our experts to your stage. Demonstrate your ability to apply HR principles to real-life situations. Attend a SHRM state event to network with other HR professionals and learn more about the future of work. Stand out from among your HR peers with the skills obtained from a SHRM Seminar. Learn live and on demand. Earn PDCs and gain immediate insights into the latest HR trends. The latest HR news, legal updates, and leadership perspectives. Data-driven insights and benchmarks to guide smarter decisions. Practical resources to help you move from insight to action faster. Easily find a local professional or student chapter in your area. Post polls, get crowdsourced answers to your questions and network with other HR professionals online. Learn about SHRM's five regional councils and the Membership Advisory Council (MAC). Learn about volunteer opportunities with SHRM. Shop for HR certifications, credentials, learning, events, merchandise and more. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus convallis sem tellus, vitae egestas felis vestibule ut. Error message details. Request permission to republish or redistribute SHRM content and materials. Earning your SHRM-CP credential makes you a recognized expert and leader in the HR field. Learn how Marsh McLennan successfully boosts staff well-being with digital tools, improving productivity and work satisfaction for more than 20,000 employees. The proliferation of artificial intelligence in the workplace, and the ensuing expected increase in productivity and efficiency, could help usher in the four-day workweek, some experts predict. As artificial intelligence technology continues to develop, the demand for workers with the ability

X-62 VISTA sets precedents with Mission Systems Upgrades, aligns human researchers ...

Amidst planned upgrades, the U.S. Air Force Test Pilot School’s Research Division simultaneously executed two accelerated test programs, HAVE HEAT and HAVE HOLIDAYS, utilizing the X-62 VISTA here throughout April 2026. Driven by the Test Resource Management Center’s X-62 Mission Systems Upgrades (MSU), these latest milestones reflect continued emphasis on the safe acceleration of artificial intelligence and autonomy capabilities for the warfighter. HAVE HEAT: Autonomous AI sensor-to-vehicle control Leveraging https://news.lockheedmartin.com/2026-08-04-Skunk-Works-R-Advances-Sensor-Powered-AI-Fighter-Intercept, the X-62 VISTA platform demonstrated the ability of AI agents to ingest live infrared sensor data, directing the X-62 to autonomously intercept an airborne target in real time. “HAVE HEAT represents a meaningful expansion of avionics capability towards integrated, AI-driven control of multiple sensors and air vehicles for mission autonomy. This bridges a capability gap and positions us to test advanced autonomy faster,” says Lt. Col. Joshua Strafaccia, dean of faculty for research, U.S. Air Force Test Pilot School. HAVE HOLIDAYS: Integrating framework required for advanced technology evaluation In parallel, HAVE HOLIDAYS saw simultaneous integration and evaluation of a wide suite of modular technologies into the X-62’s Enterprise Open Mission System Architecture computer. This included the integration of a non-prime, third-party autonomous agent onto the X-62, testing of enhanced safety rules to prevent autonomous vehicles from violating user-established operational limits, and further chip integration for advanced sensor exploitation. This system-of-systems test served as critical technical risk mitigation on the design and development of logistics and integration frameworks required to maximize flight opportunities post-MSU, paving the way for broader government, academic, and industry partnerships. Preparing for X-62 VISTA’s future All ground testing across the blended team of military, government and contractor engineers was completed within three months, with HAVE HEAT and HAVE HOLIDAYS executed in parallel under compressed timelines. The swift execution of both test campaigns proves X-62’s suitability for rapid

NVIDIA Launches New AI Model for <b>Autonomous Vehicle</b> Development | Dawan Africa

US , August 4, 2026 - NVIDIA has launched Alpamayo 2 Super, a new artificial intelligence (AI) foundation model for autonomous vehicles (AVs), which is set to help developers build safer and more transparent self-driving systems. The new model, which is available for commercial use under an open license, is designed to handle complex and unpredictable driving situations that autonomous vehicles are struggling with. The company said that the new model is part of the Alpamayo family of open reasoning models, which it has branded as the most widely adopted open reasoning models for autonomous driving on Hugging Face. The model is built on NVIDIA Cosmos 3 Super Reasoner and has been post-trained using reinforcement learning to improve reasoning across multiple autonomous driving tasks, according to the company. NVIDIA added that Alpamayo 2 Super processes full 360-degree camera views from the front, sides, and rear of a vehicle, allowing it to better understand lane changes, highway merges, unprotected turns, and complex intersections. For every driving scenario, the model generates five outputs, including a planned vehicle trajectory, a chain-of-causation explanation describing its reasoning, a driving intent such as yielding or changing lanes, automated reasoning labels for training datasets, and visual question answering linked to specific regions in camera images, according to NVIDIA. “Handling these long‑tail events takes more than just object detection and motion prediction. AVs must understand the situation, reason about cause and effect, choose the right action and turn that decision into a safe, comfortable path — all in real time and in a way developers can inspect, validate and trust,” the company stated. “Alpamayo 2 Super is part of NVIDIA’s growing collection of open models, datasets and tools for autonomous driving, expanding access, strengthening competition, giving developers greater control and supporting safer, more transparent AV deployment,” it added.

Why Governing World Models Is AI's Next Big Policy Challenge | Stanford HAI

Why Governing World Models Is AI's Next Big Policy Challenge As artificial intelligence moves beyond language into the physical world through "world models," Stanford researchers warn that policymakers face an even steeper governance challenge than with large language models—and the window to get ahead of the technology is closing fast. If crafting effective regulations for large language models has proven difficult, governing the next wave of AI will be exponentially more complex. A new policy brief from the Stanford Institute for Human-Centered AI (HAI) marks the first comprehensive examination of how to govern “world models”—AI systems that don't just process language but build working representations of physical environments to predict how they change in response to action. World models are already emerging from research labs into commercial applications, from crisis response systems to autonomous vehicles to robotic manufacturing—with profound implications for everything from privacy to national security. In this conversation, HAI Associate Director and Hoover Senior Fellow Amy Zegart, HAI Founding Director Fei-Fei Li, and HAI Executive Director Russell Wald, three of the brief’s authors, discuss why world models demand urgent policy awareness and what makes governing them fundamentally different from current AI oversight efforts. What exactly is a world model, and why should policymakers care about it now? Fei-Fei Li: Spatial intelligence is the ability to perceive, reason about, and act in three-dimensional space, and world models are the foundation for achieving it. A world model is an AI system that builds an internal representation of an environment—like a city, a factory floor, or a disaster zone—and uses that representation to predict what happens when you take action in that environment. Unlike a language model that predicts the next word, a world model predicts physical consequences: what happens if you move this object, open that door, or reroute traffic

Drones, EVs and <b>autonomous</b> tractors reshape farm insurance

Agricultural technology is advancing faster than many farm insurance products have kept pace with and Allianz Australia says its redesigned farm pack is a direct response to that gap. "There's a change in the types of technology that farms are using and so this is making sure our covers were able to address those changing needs and equipment," said Julie Mitchell (pictured), chief general manager of commercial and personal injury at Allianz Australia. The list of newly addressed exposures is specific. Drone liability cover has increased from a 2 kilogram to a 25 kilogram threshold, reflecting the shift from small consumer drones to heavier commercial units now used for spraying, mustering and crop monitoring. That shift is already well underway nationally: the Department of Infrastructure estimates around 10% of agricultural businesses in Australia currently use drones to support operations, a figure forecast to climb substantially over the next decade. Electric vehicle charging infrastructure, like wall chargers and cables, is added to the accessories definition. Thermal runaway battery risk, a known EV-specific hazard, is now explicitly addressed under motor vehicle cover. Autonomous vehicles receive their own specific treatment in the revised product. "Autonomous vehicles are explicitly addressed in the policy, with an exclusion when operating in fully autonomous mode without driver intervention," Mitchell said. This distinction matters as more Australian farms trial autonomous tractors and machinery without a driver physically present. For brokers, that exclusion is a critical point to flag to clients experimenting with autonomous equipment: Cover may depend on whether a human remains actively in the loop during operation, not simply on whether the vehicle is present on an insured property. Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) data shows the agricultural sector employed around 255,500 people in 2025, under 2% of the national workforce, a

Question of the Day: Should <b>Autonomous Vehicles</b> be Required to Have Driving Controls?

When the first autonomous vehicles moved from the drawing boards to the test tracks, they were envisioned as not having steering wheels, gas pedals, etc. When Google, later Waymo, rolled out its early concept cars, the little eggs on wheels came sans controls. The company pitched a future where senior citizens or physically challenged people could simply get into their self-driving vehicles can get into their personal vehicle, tell it where they needed to go and it would drive them there - and back. However, as time has gone on, more and more critics have asked an important question: What happens is the car runs amok? How will it stop? Shouldn't the passengers be able take control of the car? Now Amazon's robotaxi business, Zoox, just became the first company to win approval from the National Highway Traffic Safety Administration to deploy its steering wheel-free robotaxis to charge for rides - on a limited basis. NHTSA Administrator Jonathan Morrison told Reuters that Zoox had received clearance to commercially deploy up to 2,500 vehicles in each of the next two years. So we ask today: Do you think driving controls should remain mandatory equipment for autonomous cabs or not - and why? [Images: Zoox] Become a TTAC insider. Get the latest news, features, TTAC takes, and everything else that gets to the truth about cars first by subscribing to our newsletter.