(Using Artificial Intelligence and Supercomputers)

How to Train a Robot (Using Artificial Intelligence and Supercomputers)

Examples of 3D point clouds synthesized by the progressive conditional generative adversarial network (PCGAN) for an assortment of object classes. PCGAN creates geometry and color for point clouds with no supervision, using the coarse-to-fine training process. Credit: William Beksi, UT Arlington UT Arlington computer scientists use TACC systems to build robotic objects that can be used for training robots. Before joining the University of Texas at Arlington as an Assistant Professor in ...

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