Nvidia's roadmap plans to bring agentic AI from the digital space to the physical world with the release of new physical ...

NVIDIA is the first to release an open reasoning VLA model designed to tackle long-tail autonomous driving challenges; NVIDIA ...

At CES 2026, Jensen Huang said Nvidia is scaling full AI systems as reasoning, agents, and physical AI drive exploding ...

At CES 2026, Nvidia unveiled Alpamayo, an open-source AI suite with models, tools, and datasets to train robots and vehicles, ...

The Rubin platform harnesses extreme codesign across hardware and software to deliver up to 10x reduction in inference token ...

But more seriously, because AI offers enormous benefits for medical diagnoses and treatments and addressing climate change, ...

Artificial intelligence (AI) reasoning models aren't as smart as they've been made out to be. In fact, they don't actually reason at all, researchers at Apple say. Reasoning models, such as Meta's ...

What if artificial intelligence could think more like humans, adapting to failures, learning from mistakes, and maintaining a coherent train of thought even in the face of complexity? Enter RAG 3.0, ...

NVIDIA unveils Alpamayo, an open-source AI model family bringing reasoning, simulation, and edge-case data to accelerate ...

What if machines could not only process data but also reason through it like a human mind—drawing logical conclusions, adapting to new challenges, and solving problems with unprecedented precision?

Everyone knows that AI still makes mistakes. But a more pernicious problem may be flaws in how it reaches conclusions. As generative AI is increasingly used as an assistant rather than just a tool, ...

OpenAI published a new paper called "Monitoring Monitorability." It offers methods for detecting red flags in a model's reasoning. Those shouldn't be mistaken for silver bullet solutions, though. In ...