"In particular, the releases include Nvidia Cosmos Transfer 2.5 and Nvidia Cosmos Predict 2.5, open, fully customizable world models that also understand the real world around you, including its physics and spatial properties. This is useful for creating synthetic data and simulations that emulate realistic life scenarios for evaluating robots' performance, necessary because testing these physical AI developments, such as autonomous vehicles, is often too risky to conduct in real life."
"Also: How DeepSeek's new way to train advanced AI models could disrupt everything - again Nvidia Cosmos Reason 2 is an open-reasoning vision language model (VLM) that allows intelligent machines "to see, understand, and act in the physical world like humans," according to Nvidia. Moreover, using Nvidia Cosmos Reason 2, physical AI can make decisions as humans do, using reason, prior knowledge, understanding of physics, and"
Nvidia showcased new open physical-AI models and tools at CES aimed at bridging devices and the physical world to accelerate robot development. Nvidia introduced Cosmos Transfer 2.5 and Cosmos Predict 2.5 as customizable world models that capture spatial and physical properties for generating synthetic data and realistic simulations to safely evaluate robot performance. Nvidia Cosmos Reason 2 is an open-reasoning vision-language model enabling machines to see, understand, reason, and act using prior knowledge and physics. The models and GR00T are intended to reduce pretraining burden and let developers focus on building next-generation robots across industries.
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