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Achieving a 2.93x improvement in training efficiency for trillion-parameter models could redefine the scalability of large-scale AI systems.
Untangling multilayer networks just got easier: T-GINEE uses tensors to explicitly model cross-layer dependencies, outperforming methods that treat layers independently.
Achieve high-fidelity 3D reconstruction of thin structures from point clouds by decoupling metric distance and topological phase, sidestepping the limitations of both SDFs and UDFs.
