Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Autonomous vehicles have made remarkable progress over the past decade, accumulating millions of miles and performing well on highways, in controlled test areas, and in select urban zones. However, ...

Self-driving cars have made impressive progress. They can follow lanes, keep their distance, and navigate familiar routes with ease. However, despite years of development, they still struggle with one ...

Nvidia's CES 2026 keynote delivered exactly what the autonomous driving industry needed: Alpamayo, a family of open-source AI models that Jensen Huang called "the ChatGPT moment for physical AI." The ...

At CES 2026, Nvidia launched Alpamayo, a new family of open source AI models, simulation tools, and datasets for training physical robots and vehicles that are designed to help autonomous vehicles ...

Nvidia Corp. has released more than a half-dozen artificial intelligence models designed for autonomous systems such as self-driving cars. The algorithms, which are all available under an open-source ...

SAN FRANCISCO--(BUSINESS WIRE)--Uber Technologies, Inc. (NYSE: UBER) today announced it is working with NVIDIA to accelerate the next generation of robotaxi and autonomous delivery fleets using NVIDIA ...

Wayve has launched GAIA-3, a generative foundation model for stress testing autonomous driving models. Aniruddha Kembhavi, Director of Science Strategy at Wayve, explains how this could advance ...

Autonomous vehicles keep crashing into a problem that no software update can easily fix: the messy, unspoken social rules ...