China catching up to U.S. on autonomous driving tech, experts warn
Breana Noble
The Detroit News
June 2, 2026, 12:01 a.m. ET
Market conditions in China, regulatory changes there and its brands' speedy vehicle development threaten to put the United States behind in developing autonomous driving technologies, experts say.
Direct comparisons are rare, given the lack of Chinese vehicles in the United States and data-sharing restrictions between the two nations. But that's changing. Tesla Inc. last week said its Full Self-Driving Supervised is launching in China with an update coming shortly following years of delays. Google affiliate Waymo LLC is poised to compete against China's Baidu Inc. in London. And Chinese brands are expanding into more markets globally — including North America.
Jun 2, 2026 · via detroitnews.com
Rivian boss on self-driving cars: "level four is going to be here much sooner than people think" If you thought Rivian’s first act was dramatic, wait to see what CEO RJ Scaringe is cooking up next... RJ Scaringe asks as many questions as he answers. Rivian’s founder and CEO is with TG for an early drive in the new R2, on a route that skirts the company’s modernist HQ, an hour south of LA. The R2 is the smaller Rivian, the follow-up to the impressive pure electric R1 pickup and SUV. That’s succeeded where Ford’s F-150 Lightning faltered, and has proven a hit with well-heeled Musk-averse liberals in the bicoastal areas of the US. In excess of 42,000 have been sold so far. Now the R2 ramps up the ambition, spearheading Rivian’s push into Europe. It feels better than it needs to be, I venture, not quite overengineered but clearly done with care. “Where do you sense that?” Scaringe replies. In the damping, for starters, and the generally polished way it gets along the road. Dynamically it’s right up there with the likes of the new iX3, which is no mean feat given how much BMW has poured into the Neue Klasse project. Photography: Greg Pajo But Rivian’s attention to detail is everywhere. The brand message is “adventure forever”, on road and off. Scaringe talks of “brand tonality” and admires Apple in terms of how it built an entire ecosystem around its products. Rivian makes its own tents, flashlights and portable kitchens, to go with the cars. Honestly, if Apple made tents, flashlights or portable kitchens, they’d look like this. Clever, beautifully constructed, but human. Now the second act is set to begin. Production is scaling up dramatically, and a second factory in Georgia opens later this year. It’ll manufacture
Jun 2, 2026 · via topgear.com
At GTC Taipei and Computex today, NVIDIA Corp. revealed several open-source physical AI skills and tools to help developers of robotics, autonomous vehicles, visual AI, and industrial digital twins. The company claimed that they can help reduce the costs, time, and complexity of building physical AI workflows at scale. Available as part of the NVIDIA Agent Toolkit, the new skills will let AI agents speed the data generation, simulation, training, evaluation, and deployment pipelines behind robots, autonomous vehicles (AVs), factories, and laboratories, said the company. “AI agents are revolutionizing software development, and that shift is now coming to physical AI, extending into the systems that will transform transportation, manufacturing, healthcare, and robotics,” said Jensen Huang, founder and CEO of NVIDIA, at GTC Taipei. “When agents can directly use NVIDIA libraries, models and frameworks, physical AI development will move faster, enabling developers to build the robots, autonomous vehicles, and industrial systems of the future at an incredible pace.” “Physical AI requires massive amounts of training data in diverse environments,” noted Rev Lebaredian, vice president for physical AI simulation at NVIDIA. “Teleoperation, simulation, and internet-scale data lead to world foundation models for an infinite diversity of use cases.” NVIDIA makes physical AI stack agent-ready NVIDIA said it is optimizing its entire physical AI stack for agents by turning libraries, models, and frameworks into agent-callable tools. This includes: - NVIDIA Cosmos 3 world foundation models for physical world reasoning and generation - NVIDIA Omniverse libraries for simulation and digital twins - NVIDIA Isaac for robotics simulation and robot learning - NVIDIA Metropolis for vision AI - NVIDIA Alpamayo for autonomous driving - NVIDIA Jetson platform for edge AI development “Cosmos 3 is the frontier foundation model for physical AI,” Lebaredian said. “It understands videos and text and can flag what matters. Cosmos is
Jun 2, 2026 · via therobotreport.com
Uber, Autobrains, and Nvidia plan Munich robotaxi program
Jun 2, 2026 · via qz.com
June 1, 2026 McLean, VA, June 01, 2026 — Statement by Andy Green, executive vice president of HII and president of HII’s Mission Technologies division, on the U.S. Navy’s selection of HII’s ROMULUS Unmanned Surface Vessel to advance to the at-sea testing phase of the Medium Unmanned Surface Vessel (MUSV) program: “HII is proud that ROMULUS USV has advanced to the U.S. Navy’s Medium Unmanned Surface Vessel evaluation phase, a milestone that reflects HII’s longstanding track record for delivering mission-ready autonomous capabilities that support the U.S. Navy’s evolving operational requirements. “At the core of the ROMULUS USV is HII’s extensive experience as a global leader in autonomous unmanned maritime systems, combined with HII’s Odyssey Autonomous Control Solutions, a proven autonomy software suite and a key differentiator of our solution. Demonstrated across programs supporting the U.S. Navy, U.S. Marine Corps, U.S. Coast Guard, and allied partners, Odyssey enables intuitive command and control of autonomous platforms and swarms across domains, enhancing fleet lethality, survivability, and operational effectiveness. “We appreciate the U.S. Navy’s confidence in ROMULUS and look forward to demonstrating the platform’s maturity, reliability, and operational effectiveness in support of the service’s vision for autonomous maritime operations.” About HII’s Odyssey Advanced Autonomy Solutions® HII’s Odyssey Autonomous Control Solutions (ACS) is currently deployed on REMUS unmanned underwater vehicles (UUVs) and ROMULUS unmanned surface vessel (USV) platforms in 30 countries, transforming vehicles into intelligent robotic systems. Through flexible vehicle-, module-, and algorithm-level implementations across diverse platforms, sensors, payloads, and mission profiles, Odyssey Advanced Autonomy Solutions deliver multi-vehicle collaborative autonomy, sensor fusion, and advanced perception capabilities. About the ROMULUS Unmanned Surface Vessel The ROMULUS family of Unmanned Surface Vessels is designed to meet the current and emerging requirements of the U.S. Navy, U.S. Marine Corps, joint forces, and allies. They deliver high-endurance, sustained open-ocean autonomy
Jun 2, 2026 · via hii.com
JACKSONVILLE, Fla. — The Jacksonville Transportation Authority unveiled a commemorative bus on Monday honoring the 250th anniversary of America’s independence at JTA’s Autonomous Innovation Center, or AIC. In attendance was U.S. Department of Transportation Assistant Secretary for Research and Technology Seval Oz. Oz credited Jacksonville for its courage in integrating autonomous vehicles into public transit while the rest of the nation is still talking about it. “Innovation does require courage, it requires boldness, it requires perseverance, and it requires a sense of vision as to where we should be, as opposed to where we are,” Oz said. “Navi represents more than autonomous vehicle deployment — It represents proof that the autonomous public transportation can safely and successfully, with the public trust, operate as part of a real ongoing transit system serving customers throughout the region.” This month marks the one-year anniversary of the Neighborhood Autonomous Vehicle Innovation Service, or NAVI. But some say its first year has been less than perfect. On March 5 of this year, the Florida Department of Transportation saw a demonstration of the vehicles. Reports show that the demonstration required seven manual assists, challenging the idea that the system is truly autonomous. They also found that NAVIs cannot pull back into traffic and often make hard stops due to misjudging field conditions like flags or pedestrians on the sidewalk. Still, JTA CEO Nat Ford says our country is in the midst of a transformative period in public transportation. “Every day that Navi is operating, it demonstrates that autonomous mobility is not a theoretical dream,” Ford said. “It’s actually operational, it’s practical, and is helping to write the next chapter in the evolution of transportation in the United States.” We wanted to ask about Navi’s low ridership and high expenses, but neither JTA nor the feds were
Jun 1, 2026 · via actionnewsjax.com
Mach Industries, the three-year-old defense tech startup run by 22-year-old founder and CEO Ethan Thornton, has raised a $300 million Series C at a $1.8 billion valuation, the company announced on Monday. The raise nearly quadruples the valuation of the company in a year. In June 2025, Mach raised $100 million at a $470 million valuation. Other investors include Bedrock Capital, Sequoia Capital, and Khosla Ventures. The round was led by deep tech fund Infinite Capital and Ribbit Capital, known for fintech and lately in hot deals everywhere — from AI coding startups like Cognition to neoclouds like Crusoe. Since building autonomous weapons is a capital-intensive industry, Thornton began actively fundraising a couple of months ago, he told TechCrunch, and quickly discovered that the round would be popular with investors. “We went out to raise 200 [million dollars] and we were extremely oversubscribed at 200 and happy with the price, so we decided to push up to 300. We’re still oversubscribed at the 300 mark,” Thornton said of the fundraising efforts. Founded in 2023, Mach and its growth have been a wild ride for Thornton, who famously dropped out of MIT at 19 to start the company. VC enthusiasm is high for a few reasons. Other than AI, defense tech is a hot area for investment right now as newfangled autonomous weapons and drone defense systems prove themselves in battle in Ukraine. Mach has also become prolific in its short time. The Huntington Beach, California-based company now has five autonomous vehicles in development: Viper, a jet-powered vertical takeoff vehicle; Glide, a high-altitude glider capable of launching weapons; Stratos, an airborne surveillance platform; Dart, a low-cost counter-drone interceptor; and Pike, intended for launching long-range munitions. Production is expected to begin next year on at least three of these systems, the company
Jun 1, 2026 · via techcrunch.com
Professor Christos Cassandras Wins 2026 IEEE Intelligent Transportation Systems Society Outstanding Research Award Imagine a world where morning traffic completely disappears, intersection lights are obsolete, and your car pays you a small digital incentive for letting someone merge. It sounds impossible, but CISE Faculty Affiliate and Head of the Division of Systems Engineering Professor Christos Cassandras (ECE, SE) is building that reality, and the engineering community is taking notice. Cassandras was recently named the recipient of the prestigious 2026 IEEE Intelligent Transportation Systems Society (ITSS) Outstanding Research Award. The honor recognizes Cassandras’ groundbreaking contributions to the field of smart cities and automated traffic management. The award comes on the heels of a high-profile feature in Nature, where Cassandras detailed his vision for rewriting how the world drives. “In some circles, this is considered science fiction, but in most technology-aware circles, it’s very real, it’s coming,” Cassandras said. “The hype will never deliver the absolute dream, but it will deliver something that is going to make the world a better place.” For decades, urban commuting has been defined by what Cassandras calls “selfish driving,” a system where individual drivers make competitive choices based entirely on personal convenience. This eventually leads to gridlock, wasted fuel, and accidents. Cassandras is pioneering a shift toward “social optimality.” His research focuses on Connected and Automated Vehicles (CAVs) to transform standard roadways into fully integrated networks. Unlike some autonomous vehicles that currently operate in isolation using only onboard sensors, Cassandras’ model employs CAVs that actively “talk” to one another and to urban infrastructure, such as traffic lights. By sharing real-time data on position, velocity, and destination, the network can optimize routing and speed across an entire area. “It doesn’t take that many, maybe 10 or 20% [of autonomous vehicles] on the road, but they can act
Jun 1, 2026 · via bu.edu
Foretellix Unveils Reference Solution Integrating NVIDIA Alpamayo to Scale AI Autonomous Vehicle Development SUNNYVALE, Calif., June 1, 2026 /PRNewswire/ -- Foretellix, provider of safety and data infrastructure for physical AI, today announced its Reference Solution for the NVIDIA Alpamayo ecosystem. Foretellix enables developers building AI-powered autonomous driving systems to accelerate data curation, synthetic data generation (SDG), testing, and validation workflows. Foretellix's reference solution empowers any AI-powered autonomous driving development environment with the guidance, methodology and tools required to train and validate their AV stacks with greater confidence and scale. "The shift to AI-driven autonomy fundamentally changes how autonomous vehicle systems are developed and validated," said Ziv Binyamini, CEO and Co-Founder of Foretellix. "Developers can no longer rely on traditional software validation approaches. Our NVIDIA Alpamayo-based reference solution demonstrates the Foretellix data-centric infrastructure required to train, validate, and safely scale next-generation AI driving systems." The workflow begins with the denoising of AV drive logs, which is fundamental to extracting the ground truth from data. This process enables both temporal scenario labelling and synthetic scenario design, allowing developers to accurately replicate specific scenarios or create controlled variations of them. This foundational step is followed by data curation and warehouse exploration, where developers identify high-value driving segments to serve as the baseline for synthetic data generation. V&V engineers gain immediate visibility into the specific operational design domain (ODD) areas the system has encountered or tested across both virtual and real-world environments. The Foretellix solution organizes this data into a structured warehouse rather than a disorganized data lake. Behavioral ODD coverage analysis and SDG are central to the Physical AI Toolchain. The toolchain identifies specific gaps in the ODD, allowing test engineers to design and edit new synthetic scenarios that directly fill the coverage gaps. Through the Foretellix Foretify scenario designer, integrated with NVIDIA
Jun 1, 2026 · via prnewswire.com
DCPS security guard arrest highlights other recent cases of inappropriate conduct between teachers and children
Jun 1, 2026 · via actionnewsjax.com
By: Laryssa Hulcio and Stephen Harber, GM Talent Marketing By: Laryssa Hulcio and Stephen Harber, GM Talent Marketing Alex Reba doesnât draw a line between career and service. He juggles both â and he does it well. By day, he works in Global Purchasing & Supply Chain at General Motors, helping stabilize supply, manage risk, and keep production moving. Beyond that, he serves as a Supply Corps Officer in the U.S. Navy Reserve, applying the same logistics, problem-solving, and leadership skills to mission-critical operations. âI didnât feel like I had to choose between them,â Reba says. âFor me, it was about finding a way to do both well.â TRACK to the future Reba joined GM in the summer of 2021 as an intern in finished vehicle logistics. The next year, he returned full-time through GMâs TRACK rotational program. This fast-paced environment exposed him to program management, purchasing, logistics, and supplier crisis response. âTRACK teaches you that change is constant,â Reba says. âEvery six months, you move into a new role, with a new team and a new mission. You learn fast, listen carefully, and execute.â Reba had always been interested in military service. While building his career at GM, the idea of serving was still on his mind. âI loved the job,â he says. âBut I also felt this pull to contribute in a different way.â So Reba looked into Navy Reserve opportunities. Permission to come aboard He soon found the Navyâs Direct Commission Officer program within the Supply Corps. The role touched logistics, procurement, operations, and supply chain strategy â all areas he was already building expertise in here at GM. âIt felt like a natural fit,â he says. âIt allowed me to bring the skills I was developing at GM into uniform, while still continuing to grow my
Jun 1, 2026 · via news.gm.com
SPRINGFIELD — Illinois rideshare drivers could soon collectively bargain with Uber and Lyft after the state General Assembly passed legislation early Monday outlining a path toward unionization. Meanwhile, a separate bill that would have authorized autonomous vehicle pilot programs in the state failed to advance before the end of the legislative session. The rideshare bill, which still needs Gov. JB Pritzker’s signature, passed with backing from SEIU Local 1, IAM machinists union Local 701 and Uber, supporters said. It would give more than 100,000 rideshare drivers in Illinois a way to form a union. “We’re excited to hit the road and let everybody know that they’re going to be able to join a union,” said Giovanni Suarez, a Chicago-based full-time rideshare driver who stayed in the Capitol past 2 a.m. to watch the bill pass in the state House. The Illinois model is similar to one approved by voters in Massachusetts, the first state where rideshare drivers won the right to bargain as independent contractors in 2024. Just days ago, Massachusetts also became the first state to formally recognize a union for ride-hailing app drivers, a certification covering roughly 70,000 workers that labor leaders described as the largest private-sector organizing win since Ford autoworkers unionized in 1941, according to The Associated Press. Illinois Republicans raised concerns during floor debate about the feasibility of organizing workers who are not classified as employees. “What I’m trying to understand is how do we unionize people who aren’t employees, people who are their own independent contractors? They run themselves as their own business,” said GOP state Rep. Dan Ugaste of Geneva. That tension was at the heart of the bill. Rideshare companies and other employers in the so-called gig economy have long maintained that their drivers and other workers are not their direct employees.
Jun 1, 2026 · via chicagotribune.com
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world, predict what’s likely to happen next, and generate actions for specific environments, embodiments, and tasks. NVIDIA Cosmos 3 is a frontier foundation model for physical AI that combines physical reasoning, world generation, and action generation within a single open model. NVIDIA is open sourcing Cosmos 3 models, training scripts, deployment tools, and datasets to make physical AI development more open and reproducible. This blog post covers the fundamentals of Cosmos 3, highlights key concepts from the technical report, guides through technical workflows and shows how teamsrobotic manipulation systems, autonomous vehicles, and warehouse monitoring solutions can get started. Key highlights of this release include: - NVIDIA Cosmos 3 Nano and NVIDIA Cosmos 3 Super model checkpoints on Hugging Face with code on GitHub. - Open datasets for physical AI applications like robotics and autonomous driving. - Open post-training scripts for adapting Cosmos 3 to your domain. - Cosmos NIM microservices for easy, optimized deployment on NVIDIA GPUs. What’s new in Cosmos 3 Previous Cosmos releases separated world generation, physical understanding, and controlled scene generation into different models and workflows. This release unifies those capabilities with a Mixture-of-Transformers (MoT) architecture built around two towers. - Reasoner tower: A vision-language model (VLM) that interprets multimodal observations like images, videos, and text. This tower uses an autoregressive architecture to interpret the input and understand motion, object interactions, and other physical context. This serves as the ‘brain’ that reasons about the world before any generation happens. - Generator tower: Generates future observations and action sequences. This tower uses a diffusion-based process to generate physics-aware video and action outputs that are conditioned on the reasoner tower’s understanding. The
Jun 1, 2026 · via developer.nvidia.com
VINFAST AND AUTOBRAINS LAUNCH FIRST AGENTIC AI L4 PROGRAM FOR SOUTHEAST ASIA WITH NVIDIA Rhea-AI Summary VinFast (NASDAQ: VFS), Autobrains, and NVIDIA announced a strategic collaboration to develop a next-generation Level 4 autonomous driving program for Southeast Asia, built on NVIDIA DRIVE Hyperion 10 and Autobrains' Agentic AI. The goal is scalable, cost-efficient autonomy suited to the region's complex traffic. AI-generated analysis. Not financial advice. Positive - None. Negative - None. Key Figures Market Reality Check Peers on Argus VFS was down 1.97% while key EV peers were mixed: LCID and NIO showed gains, ZK was nearly flat, and PSNY/PSNYW declined. The negative move contrasts with several rising peers, pointing to a stock-specific reaction rather than a broad sector move. Historical Context | Date | Event | Sentiment | Move | Catalyst | |---|---|---|---|---| | May 21 | VF 9 positioning | Positive | +0.3% | Highlights VF 9 as premium yet cost-efficient 7-seat electric SUV. | | May 21 | New VF 8 launch | Positive | +0.3% | Introduces new-generation VF 8 with upgrades and Vietnam pre-order details. | | Apr 22 | Q1 2026 deliveries | Positive | -1.4% | Reports strong YoY growth in global EV and two-wheeler deliveries. | | Apr 16 | VF 8 Eco promo | Positive | -1.2% | Promotes VF 8 Eco value proposition, specs, and financing offers. | | Apr 14 | Canada EV benefits | Positive | +0.0% | Showcases Canadian EV appeal amid higher fuel costs and warranty support. | Positive product and growth news has not consistently translated into gains; several upbeat releases coincided with flat or negative next-day performance. Over recent months, VinFast has focused on product positioning and volume growth. Releases on the VF 9 and new-generation VF 8 highlighted premium features, pricing, and user-experience
Jun 1, 2026 · via stocktitan.net
- Combining Autobrains' Agentic AI with NVIDIA DRIVE Hyperion - Developing VinFast's level 4 to drive safely in real-world conditions - Advancing autonomous driving without the premium cost that has stalled others TAIPEI, June 1, 2026 /PRNewswire/ -- VinFast (NASDAQ: VFS), and Autobrains announced at NVIDIA GTC Taipei at COMPUTEX 2026 today a strategic collaboration for a next-generation level 4 program for Southeast Asia built on NVIDIA DRIVE Hyperion. The collaboration marks a new step in VinFast's roadmap to make advanced autonomous driving technology more accessible at a reasonable cost, while opening a more practical approach to autonomous mobility solutions in the region's highly complex traffic environments. Built on NVIDIA DRIVE Hyperion 10 compute and powered by Autobrains' Agentic AI software for autonomous driving capabilities, VinFast is developing the level 4 platform for Southeast Asia. With dense traffic, diverse road behavior, and highly dynamic urban environments, Southeast Asia presents a demanding validation ground for autonomous driving. The three-way collaboration comes at a time when autonomous driving has stalled on three persistent barriers: system complexity, compute cost, and brittle performance outside controlled environments. To address these challenges, VinFast, NVIDIA, and Autobrains are developing a modular architecture, pairing vehicle integration, high-performance compute, and Agentic AI software. Unlike traditional end-to-end approachs, Autobrains' Agentic AI deploys specialized AI agents that activate only when the driving task demands them. This approach delivers sharper real-world reasoning, lower compute overhead, and a scalable, cost-efficient path to autonomy. For VinFast, the program provides a path to bring advanced autonomous capability to market without the premium cost structure that has limited wider deployment. NVIDIA DRIVE Hyperion gives VinFast a validated hardware and software foundation, reducing the integration work that typically adds years to autonomous vehicle programs. Prof.-Dr. Duong Nguyen, Deputy CEO of ADAS at VinFast Global, said: "Advanced mobility
Jun 1, 2026 · via prnewswire.com
Autobrains and Uber to Launch Agentic AI Robotaxi Program in Munich built on NVIDIA DRIVE Hyperion Key Terms agentic ai technical robotaxi technical autonomous driving technical software-defined technical - Combining Uber’s mobility network, Autobrains’ Agentic AI, and NVIDIA DRIVE Hyperion - Launching a Munich robotaxi service designed to scale into a fully autonomous fleet - Creating an OEM-agnostic model for autonomous ride-hailing across vehicle platforms Pending regulatory approval, Autonomy has often depended on custom vehicles, heavy sensor stacks, and compute architectures that are much harder to commercialize at scale. Autobrains’ Agentic AI is designed to change that - enabling robust, real-time decision-making on standard automotive sensor configurations and efficient, accelerated compute, with the flexibility to deploy across OEM platforms. The collaboration combines three essential layers for scalable robotaxi deployment: Autobrains’ Agentic AI autonomous driving technology, the NVIDIA DRIVE Hyperion platform, and Uber’s global mobility network and operational experience. Together, they establish an OEM-agnostic model to move autonomous ride-hailing from isolated deployments to repeatable, scalable fleet infrastructure. Autobrains’ Agentic AI represents a new path to autonomy. Rather than relying on a single, monolithic end-to-end model to handle the full driving task, Autobrains decomposes driving into specialized agents, each focused on a specific driving context or decision dimension. These agents continuously evaluate context, reason across multiple possible actions, and select responses in real time. This enables more robust behavior in complex, unpredictable environments, while maintaining the efficiency needed to deploy across fleets and OEM platforms. The program is designed to integrate across vehicle platforms and operate within Uber’s ride-hailing ecosystem. For automakers, it creates a practical path to participate in autonomous ride-hailing by combining vehicle platforms with autonomous technology, marketplace access, and fleet operations. “Autonomous driving will not scale by relying on a single model to solve every driving scenario,” said Igal
Jun 1, 2026 · via stocktitan.net
Self-driving cars aren’t science fiction anymore. They’re already on public roads, navigating intersections, merging onto highways, and making thousands of micro-decisions every single minute. But here’s something most people don’t think about: the real magic isn’t in the sensors or the cameras. It’s in where and how fast the data from those sensors gets processed. That’s where edge computing comes in, and honestly, it doesn’t get nearly enough attention. Sending data to a remote server, waiting for analysis, and receiving a response take precious milliseconds that a vehicle traveling at 70 mph simply cannot afford. That is precisely why edge computing in autonomous vehicles has emerged as the cornerstone of modern self-driving systems. By relocating data processing to the vehicle itself or nearby infrastructure, this technology enables real-time, life-saving decisions without the bottleneck of cloud dependency. This blog explores how the technology works, why it matters, and the challenges ahead as it continues to scale across global transportation networks. Strip away the jargon, and it’s pretty simple. Instead of sending data to a remote server and waiting for a response, edge computing processes everything right there on the vehicle itself or at nearby roadside infrastructure. No round-trips to the cloud. No waiting. Why does that matter? Because a modern autonomous vehicle isn’t just a car. It’s basically a rolling data center. LiDAR, radar, cameras, ultrasonic sensors, GPS all running simultaneously. Together, they can generate somewhere between 1 TB and 5 TB of data every single hour. Try routing that through the internet in real time and see how far you get. The vehicles handling this today use onboard processors like NVIDIA’s DRIVE platform or Qualcomm’s Snapdragon Ride. These units handle the heavy lifting: AI inference, sensor fusion, and route planning without ever needing a Wi-Fi signal. Beyond the car itself,
Jun 1, 2026 · via securityjournalamericas.com
News Summary: TAIPEI, Taiwan, June 01, 2026 (GLOBE NEWSWIRE) -- NVIDIA GTC Taipei -- NVIDIA today introduced NVIDIA Alpamayo 2 Super, a 32-billion-parameter reasoning‑based vision language action (VLA) model that extends the NVIDIA Alpamayo family of open AI models, simulation frameworks and physical AI datasets for safe, level 4 robotaxi development. Alongside the model, the company announced new tools, models and agent skills that complete the pipeline from real-world data capture to closed-loop training and in-vehicle deployment, including NVIDIA AlpaGym, NVIDIA OmniDreams and new NVIDIA Omniverse NuRec models. Alpamayo 2 Super helps accelerate autonomous vehicle (AV) development by eliminating the need to build key autonomy infrastructure from scratch. It enables humanlike perception, reasoning and action, and provides the interpretability needed for safety validation and regulatory collaboration. To better train models for on-road deployment, the AlpaGym framework provides a platform for closed-loop reinforcement learning (RL). The NVIDIA OmniDreams generative world model for photorealistic closed-loop AV scenario generation enables developers to simulate rare and long-tail driving scenarios at scale. To amplify developer productivity, NVIDIA is providing physical AI agent skills for all of its AV development tools. For example, the Neural Reconstruction skill powered by NVIDIA Omniverse NuRec uses real-world fleet driving scenarios for simulation and generates synthetic training data at scale. “Alpamayo is the moment cars begin to safely reason, not just drive,” said Jensen Huang, founder and CEO of NVIDIA. “Only NVIDIA makes available open models, simulation, real-world data and agent skills so the entire global robotaxi ecosystem can develop level 4 capabilities that understand edge cases, explain decisions, earn trust and scale safely to millions of vehicles.” Alpamayo 2 Super, Now Available for Reasoning-Based AVs The NVIDIA Alpamayo family now scales from 10 billion to 32 billion parameters with Alpamayo 2 Super — going beyond trajectory generation to reason,
Jun 1, 2026 · via markets.businessinsider.com
Grab, the Singapore-based superapp, plans to explore pilot programs for autonomous vehicles and delivery robots in Vietnam, said Chin Yin Ong, Chief Organization Capability Officer at Grab. The executive made the statement at a meeting with Vietnam’s General Secretary and President To Lam on Sunday, during the latter’s state visit to the Philippines, according to the Vietnam News Agency and Ong’s personal LinkedIn post. Ong also pledged continued long-term investment in Vietnam and Grab’s activities in Vietnam, including digital transformation, sustainable growth, and smart mobility. On sustainability, Grab is accelerating the transition to electric vehicles and has proposed investing in a nationwide network of 6,000 shared charging points by 2027. On smart mobility, Grab is working to integrate public transport with its app to promote multimodal connectivity. Ong added that the group currently operates across Vietnam with ride-hailing service GrabBike, food delivery GrabFood, and taxi service GrabTaxi. Grab strives to support multimodal transport connectivity, urban public transport, and green vehicle infrastructure, and to promote Vietnam’s prestige across the region, she emphasized. For his part, General Secretary and President To Lam encouraged Grab to advance research and investment in smart city development and autonomous vehicles, and to invest in green and intelligent public transport systems and the promotion of Vietnamese tourism and cuisine on the Grab platform. Grab‘s revenue in 2025 grew 20 percent year on year, reaching a record $3.37 billion. Grab generated $1.04 billion in revenue from Malaysia, the only market exceeding $1 billion. Other leading markets were Singapore with $727 million, Indonesia with $715 million, the Philippines with $316 million, followed by Thailand and Vietnam with $288 million and $255 million, respectively. Grab’s record quarter signals growing shift In Southeast Asian food retail – BMI
Jun 1, 2026 · via technode.global
NVIDIA Releases Major Collection of Open Source Agent Tools and Skills for Physical AI News Summary: - NVIDIA releases a major open source collection of physical AI agent skills and tools spanning NVIDIA Omniverse, Cosmos, Alpamayo and Metropolis for robotics, autonomous vehicles, vision AI and industrial digital twins. - New physical AI skills turn complex physical AI training, evaluation and deployment workflows into repeatable, optimized and agent-executable instructions. - Industry leaders including Agile Robots, Cadence, Dassault Systèmes, Delta Electronics, Foxconn, Pegatron, PTC, Siemens, Synopsys and TSMC are using NVIDIA physical AI tools to accelerate physical AI development. TAIPEI, Taiwan, June 01, 2026 (GLOBE NEWSWIRE) -- NVIDIA GTC Taipei -- NVIDIA today announced a major collection of open source physical AI skills and tools that help developers turn complex robotics, autonomous vehicle (AV), vision AI and industrial digital twin workflows into agent-executable tasks — reducing the costs, time and complexity of building physical AI workflows at scale. As AI agents move from writing code to orchestrating entire development tasks, physical AI is the next frontier. NVIDIA physical AI skills, available as part of NVIDIA Agent Toolkit, let agents use NVIDIA libraries, models and frameworks to speed the data generation, simulation, training, evaluation and deployment pipelines behind robots, AVs, factories and labs. “AI agents are revolutionizing software development, and that shift is now coming to physical AI, extending into the systems that will transform transportation, manufacturing, healthcare and robotics,” said Jensen Huang, founder and CEO of NVIDIA. “When agents can directly use NVIDIA libraries, models and frameworks, physical AI development will move faster, enabling developers to build the robots, autonomous vehicles and industrial systems of the future at an incredible pace.” Agent-Ready Tools and Skills for Physical AI Development NVIDIA is optimizing its entire physical AI stack for agents by turning libraries,
Jun 1, 2026 · via theglobeandmail.com