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HSMA-TRSM achieves over 2x speedup on key GPU platforms by optimizing shared memory usage for complex triangular solves, revealing untapped performance potential in BLAS operations.
Seedance 2.0 leapfrogs existing models by unifying multi-modal inputs (text, image, audio, video) into a single architecture for generating high-quality, longer-duration audio-video content.
A breast pathology foundation model, BRIGHT, beats generalist models at specialist tasks, suggesting organ-specific pretraining is a scalable path to expert-level performance.
