Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...
Abstract: Data centers (DCs) are critical for artificial intelligence (AI) and the digital economy, with AIDCs introducing new operational challenges. This research proposes a novel Physical AI (PhyAI ...
Galaxy is an asynchronous parallel visualization framework for ray-based operations, including ray tracing, sampling and volume integration. Galaxy has been designed for performance in distributed ...
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