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ManycoreTech's papers accepted at ECCV2026, notably SPEAR, a next-gen Physical AI simulation platform built on OpenUSD that digitizes real-world spaces for robot training.
NVIDIA discusses three workflows using synthetic data and fine-tuning on its Omniverse and Metropolis platforms to improve vision AI agent accuracy for edge deployment.
Manufacturers are adopting a simulation-first approach using NVIDIA Omniverse and OpenUSD for physical AI, with case studies from ABB Robotics and JLR showing significant improvements in accuracy, cycle time reduction, and cost savings.