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3 Jun 202618 Dhuʻl-Hijjah 1447 AH
NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale

NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale

At this year's CVPR conference, NVIDIA Research presented three papers addressing challenges in physical AI. Among them is GraspGen-X, the first foundation model for zero-shot grasping, trained on billions of simulated grasps. LCDrive introduces a model that replaces costly text-based reasoning with compact latent representations, allowing autonomous vehicles to think faster on embedded hardware. NitroGen is a generalized gameplay AI model that trains embodied agents in virtual environments through extensive interaction.

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