Kodiak AI, a provider of physical AI-powered autonomous driving technology, has announced a collaboration with chipmaker AMD to implement its AMD EPYC Series processors to power Kodiak’s seventh-generation autonomous truck platform. Kodiak is the first company to deploy the advanced AMD EPYC processors into their hardware platform for driverless trucking. High-performance AMD EPYC Series CPUs […]

Waymo has revealed new technical details about the onboard computing system that powers its autonomous driving technology, including a purpose-built 5 nm ASIC delivering more than 1,000 TOPS of machine learning performance. The company says its latest compute architecture is designed to provide millisecond-level response times while operating under the vibration, temperature extremes and other […]

South Korean electronics giant LG is developing a next-generation bipedal humanoid robot built using Nvidia Isaac GR00T, Nvidia’s open reasoning humanoid foundation model, for a public unveiling in the first quarter of next year. LG and Nvidia signed a memorandum of understanding on August 13 at Nvidia’s headquarters in Santa Clara, California, with chairman and […]

By Joseph F. Krause, co-founder and CEO, Radical AI The next great semiconductor breakthrough will come down to new materials, not just engineering. The field is running into multiple walls of physics: the minimum wavelength of visible light, carrying current with less than an electron, electrical insulators with high thermal transport. As linewidths shrink below […]

Einride, a technology company driving the shift to cost-efficient autonomous and electric freight, and DAF Trucks, a giant in truck manufacturing, have announced a joint initiative to integrate Einride’s autonomous driving system, Einride Driver, into DAF’s premium vehicle platform. The collaboration marks a significant step toward the large-scale commercialization of SAE Level 4 autonomous electric […]

China is the country most prepared for self-driving cars, according to a new report. The new study by the B2B car company eCarsTrade analyzed robotaxi deployment, road infrastructure, legal frameworks, and public sentiment across 15 countries to see which nations are actually putting driverless vehicles on the road. Driven by massive robotaxi deployment, nearuniversal 5G […]

PlusAI says it has reached 93.4 percent “Safety Case Readiness” as the autonomous trucking company moves toward the planned commercial launch of factory-built driverless trucks in 2027. The company has published updated performance figures for the first half of 2026, showing improvements in safety validation, autonomous driving and the number of journeys completed without assistance […]

The British Antarctic Survey says autonomous vehicles are ‘transforming polar science’ A robot is cruising beneath Antarctic sea ice. Another is bolted to the face of a collapsing Greenland glacier. A third is silently counting penguins on a remote, windswept beach. None of them has a human operator nearby. Across the Arctic and Antarctic, autonomous […]

Dubai Future Foundation (DFF) and Oxa, a developer of autonomous vehicle technology, has announced the launch of SHIFFT, a joint venture that will establish Dubai as a global hub for autonomous logistics. SHIFFT will incorporate self-driving technology into a fully integrated autonomous logistics and worksite intelligence product, enabling end-to-end operational deployment. It will unlock productivity, […]

Atlas Energy Solutions has expanded its autonomous truck operations in the Permian Basin, advancing its commitment to unlocking energy by digitally transforming oilfield logistics. Working with Kodiak AI, a provider of physical AI-powered autonomous driving technology, Atlas is expanding its driverless proppant delivery program to a second simultaneous load-out point along its 42-mile Dune Express sand […]

Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and...

Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and services they already use. Many of these workflows already depend on OpenUSD scenes, simulation-ready (SimReady) assets, Blender-based workflows, CAD pipelines, or domain-specific app stacks. The challenge is how to provide applications and…

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NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such...

NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such as cameras and lidar. It is used to reconstruct dynamic scenes captured by autonomous vehicle (AV) and robotics platforms into simulation-ready digital environments that can be rendered, replayed, and analyzed inside NVIDIA Omniverse and…

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An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project...

An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird’s-eye-view (BEV) perception. BEV models project multicamera image features into a shared top-down grid, providing downstream perception and planning modules with a common spatial layout for reasoning about lanes, vehicles, pedestrians, and free space. A key operation in this pipeline…

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Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional...

Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional safety which was built for structured environments can not work anymore as the spaces become more unstructured and robots move out of cages. AI-driven safety is the key. Marking a major milestone in the arrival of physical AI…

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Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can...

Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can reason over more complex driving scenes and produce richer intermediate reasoning are predominantly trained in open-loop, where model outputs are directly compared to ground-truth behaviors without considering their effect on the environment.

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