AI models are advancing at a rapid rate and scale. But what might they lack that (most) humans don’t? Common sense: an understanding, developed through real-world experiences, that birds can’t fly backwards, mirrors are reflective and ice melts into water. While such principles seem obvious to humans, they must be taught to AI models tasked Read Article| NVIDIA Blog
Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Investments in industrial AI and physical AI are driving increased demand for digital twins across industries. These physically accurate, virtual replicas Read Article| NVIDIA Blog
We’re celebrating the more than 2 million developers now using the NVIDIA robotics stack. These builders are reshaping industries across manufacturing, food delivery, agriculture, healthcare, facilities maintenance and much more.| NVIDIA Blog
The companies are building the world’s first industrial AI cloud for European manufacturers.| NVIDIA Blog
NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognition (CVPR) conference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop. This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at Read Article| NVIDIA Blog
Helping businesses tackle new challenges and unlock opportunities The post Physical AI: Blaize’s Approach to Smarter, Faster, and More Sustainable Tech appeared first on Blaize.| Blaize
Exploring Real-Time AI Applications with Dinakar Munagala. Highlighting practical, physical-world AI implementations currently making a significant difference.| Blaize
