D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...

The extracellular matrix is a complex network of material such as proteins and polysaccharides that are secreted locally by cells and remain closely associated with them to provide structural, ...

Abstract: Matrix operators are fundamental to various applications, particularly in deep learning. While early models relied on dense operations, techniques like pruning have introduced sparsity, ...

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Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...

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In many cases, the interaction radius :math:`R` is much smaller than the size of the domain. Consequently, the sums in the local averages (see :ref:`tuto_averages`) contain only a small fraction of ...

NoPoSplat predicts 3D Gaussians in a canonical space from unposed sparse images, enabling high-quality novel view synthesis and accurate pose estimation. Our code relies on Python 3.10+, and is ...