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Square superpixels, generated via granular ball computing, unlock efficient parallel processing and end-to-end optimization in deep learning pipelines by replacing irregular shapes with multi-scale square blocks.
LLMs can reason through chains of thought 2.5x longer and solve more complex math problems by optimizing for the influence of each token on future reasoning steps.
