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LiveScience
LiveScience
Keumars Afifi-Sabet

'Multiverse simulation engine' predicts every possible future to train humanoid robots and self-driving cars

A digital render of the multiverse.

Researchers have built a new "multiverse simulation" platform that can generate massive amounts of data to train advanced self-learning robots powered by artificial intelligence (AI).

The suite of tools, dubbed "Cosmos," lets researchers create "world foundation models" — neural networks that simulate real-world environments and the laws of physics to predict realistic outcomes, according to Nvidia, which engineered the platform. These generative AI models can create synthetic data to train embodied or physical AI systems such as autonomous vehicles (AVs) or humanoid robots.

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