Generative physical AI models can understand and execute actions with fine or gross motor skills within the physical world. Understanding and navigating in the 3D space of the physical world requires spatial intelligence. To achieve spatial intelligence in physical AI involves converting the real world into AI-ready virtual representations that the model can understand.
]]>Building on the past decade’s development of OpenVDB, the introduction of NVIDIA NeuralVDB is a game-changer for developers and researchers working with extremely large and complex datasets. The pre-release version of NVIDIA NeuralVDB brings AI and GPU optimization to OpenVDB, delivering up to a 100x reduction in memory footprint for smoke, clouds, and other sparse volumetric data.
]]>OpenVDB is the Academy Award–winning, industry standard library for sparse dynamic volumes. It is used throughout the visual effects industry for simulation and rendering of water, fire, smoke, clouds, and a host of other effects that rely on sparse volume data. The library includes a hierarchical, dynamic data structure and a suite of tools for the efficient storage and manipulation of sparse…
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