Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Upfront analysis is overrated.Most engineers spend too much time optimizing details (perfect wing profiles, beautiful structural geometry, marginal drag gains…). That mindset works on airliners ...

Replacing frontline service staff is the inevitable next step in automation for a consumer well-primed for service by machine ...

AI in 2025 shifted from hype to economics, defined by compute, energy, infrastructure limits, enterprise adoption, and ...

On-site at the ‘SF Future Sketch Workshop’ by Dong-A Science and the Korea Institute of Science and Technology (KIST) ...

The American University of Armenia (AUA) announced recently the appointment of Rev Lebaredian, vice president of Omniverse and Simulation Technology at NVIDIA, to the American University of Armenia ...

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

Rigetti and IonQ take different paths in quantum computing, forcing investors to choose between long-term scalability and near-term commercial traction.

Researchers found that using in-car touchscreens causes major driving performance drops, including lane drifting and slower ...

Meet NVIDIA Nitrogen, a generalist gaming agent trained on 40,000 hours of video, so you can understand how imitation learning scales.