Robots are moving goods in warehouses, packaging foods and helping assemble vehicles — bringing enhanced automation to use cases across industries.
There are two keys to their success: Physical AI and robotics simulation.
Physical AI describes AI models that can understand and interact with the physical...
Editor’s note: This post is the first in the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series will also highlight the NVIDIA software and hardware powering advanced AI agents, which form the...
Editor’s note: This post is part of Into the Omniverse, a blog series focused on how developers, 3D artists and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse.
3D product configurators are changing the way industries like retail and...
Starting with the release of CUDA in 2006, NVIDIA has driven advancements in AI and accelerated computing — and the most recent TOP500 list of the world’s most powerful supercomputers highlights the culmination of the company’s achievements in the field.
This year, 384 systems on...
As COP29 attendees gather in Baku, Azerbaijan, to tackle climate change, the role AI plays in environmental sustainability is front and center.
A panel hosted by Deloitte brought together industry leaders to explore ways to reduce AI’s environmental footprint and align its growth with climate...
The U.S. Department of Energy oversees national energy policy and production. As big a job as that is, the DOE also does so much more — enough to have earned the nickname “Department of Everything.”
In this episode of the NVIDIA AI Podcast, Helena Fu,...
