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NeutronSparse reveals that with the right coordination strategies, NPUs can outperform leading GPU libraries in sparse matrix operations.
Achieving a 2.31x speedup in GNN training on heterogeneous CPU-NPU platforms could redefine efficiency benchmarks in graph learning.
Forget end-to-end video understanding: RieMind shows that explicitly grounding LLMs in 3D scene graphs unlocks a 16% jump in spatial reasoning, suggesting structured representations are the key.
