For robotaxis and other autonomous vehicles (AVs), the hardest problems aren’t the everyday scenarios. They’re the rare, complex situations that are difficult to anticipate and train for. 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 […]
A car pulls up to the curb. The app says, “Your ride is here.” No one’s in the driver’s seat. For people who live in one of the dozens of cities now hosting robotaxi services, this is already a reality. The robotaxi industry has moved from prototype milestones to commercial operations, with an expanding ecosystem […]
What makes a robot gripper useful isn’t that it can pick up one object — it’s that it can pick up the next one, and the one after that, with a tool it’s never held before. What makes an autonomous vehicle system safe isn’t just that it can reason through a situation — it’s that […]
At CVPR, NVIDIA is unveiling new physical AI agent skills that help researchers and developers speed the development of autonomous vehicles, robots and vision AI systems. The core challenge in physical AI research isn’t simply developing stronger models. It’s building a full workflow around them — reconstructing real-world scenes, generating edge-case scenarios, training policies, evaluating […]
Mercedes-Benz is marking 140 years of automotive innovation with a new S-Class built for the AI era, bringing together automotive safety and NVIDIA’s advanced autonomous driving platform to enable a level 4-ready architecture designed for trust. The new S-Class with MB.OS, which will be equipped with the NVIDIA DRIVE Hyperion architecture and full-stack NVIDIA DRIVE
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AI-powered driver assistance technologies are becoming standard equipment, fundamentally changing how vehicle safety is assessed and validated. The recent recognition of the Mercedes-Benz CLA as Euro NCAP’s Best Performer of 2025 underscores this shift, as the vehicle combines traditional passive safety features with NVIDIA DRIVE AV software to achieve the highest overall safety score of
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At CES, Caterpillar reveals how it’s integrating NVIDIA technologies, from NVIDIA Jetson Thor to speech models, to transform the world’s heavy industries.
NVIDIA founder and CEO Jensen Huang took the stage at the Fontainebleau Las Vegas to open CES 2026, declaring that AI is scaling into every domain and every device. “Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial intelligence,” Huang said. “What that means is some $10 trillion
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At the CES trade show running this week in Las Vegas, NVIDIA announced that the global DRIVE Hyperion ecosystem is expanding to include tier 1 suppliers, automotive integrators and sensor partners, including Aeva, AUMOVIO, Astemo, Arbe, Bosch, Hesai, Magna, Omnivision, Quanta, Sony and ZF Group. This builds on collaborations unveiled at NVIDIA GTC Washington, D.C.,
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NVIDIA is enabling a new era of AI-defined driving, bringing its NVIDIA DRIVE AV software with enhanced level 2 point-to-point driver assistance capabilities to U.S. roads, expected by end of this year — starting with Mercedes-Benz, a long-standing partner in advancing safe, intelligent mobility. The all-new Mercedes-Benz CLA — the brand’s first vehicle featuring the
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Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. Physical AI is moving from research labs into the real world, powering intelligent robots and autonomous vehicles (AVs) — such as robotaxis
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Monday, Oct. 27, 12:30 p.m. ET How Medium-Sized Cities Are Tackling AI Readiness 🔗 A panel discussion today at GTC Washington, D.C., highlighted a public-private initiative to invigorate the economy of Rancho Cordova, California, with a focus on AI. To bolster innovation, the city is working with the Human Machine Collaboration Institute and NVIDIA on
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When the Society of Automotive Engineers established its framework for vehicle autonomy in 2014, it created the industry-standard roadmap for self-driving technology. The levels of automation progress from level 1 (driver assistance) to level 2 (partial automation), level 3 (conditional automation), level 4 (high automation) and level 5 (full automation). Predicting when each level would
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At this week’s IAA Mobility conference in Munich, NVIDIA Vice President of Automotive Ali Kani outlined how cloud-to-car AI platforms are bringing new levels of safety, intelligence and trust to the road. NVIDIA and its partners didn’t just show off cars at the conference — they showed off what cars are becoming: AI-defined machines, built
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As autonomous vehicle systems rapidly grow in complexity, equipped with reasoning vision language action models, generative AI and advanced sensor technologies, developers need tools that are powerful, efficient and built to meet automotive-grade safety requirements. The NVIDIA DRIVE AGX Thor developer kit — now available for preorder today, with delivery in September — provides developers
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Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing.
In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven. To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing. At NVIDIA GTC Paris
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NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognition (CVPR) conference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop. This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at
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NVIDIA is launching a comprehensive, industry-defining autonomous vehicle (AV) software platform to accelerate large-scale deployment of safe, intelligent transportation innovations for automakers, truck manufacturers, robotaxi companies and startups worldwide. Announced today at NVIDIA GTC Paris at VivaTech, the full-stack NVIDIA DRIVE AV software platform is now in full production. Combined with NVIDIA accelerated compute, this
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Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is drastically increasing the demand for high-quality, physically based sensor data for training, testing and validation. To help accelerate the development of next-generation AV architectures, NVIDIA
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