Nvidia just launched Newton, an open-source GPU-accelerated physics engine co-developed with Google DeepMind and Disney Research, alongside its new Isaac GR00T N1.6 humanoid foundation model. Newton simulates messy, complex physical interactions like walking on snow or handling fragile objects. It gives developers a unified stack to train physical AI in simulation and deploy it safely to real robots.
Nvidia just launched a major robotics push headlined by Cosmos Reason, a 7-billion-parameter reasoning model built to serve as the physical brain for autonomous machines. Alongside new Omniverse neural rendering libraries and Blackwell servers, the system lets developers generate hyper-realistic synthetic training data and run complex simulations. Why it matters: By closing the sim-to-real gap in software, building next-generation robots no longer requires breaking expensive hardware in the physical world.
