Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...
President Trump has been briefed on a wide array of military and covert tools that can be used against Iran that go well beyond conventional airstrikes, according to two Defense Department officials ...
At nearly 2,400 square feet, BlueBird 6 is over three times the size and 10x the capacity of AST SpaceMobile’s six satellites currently in orbit. The satellite is designed to enable peak data rates of ...
California winery Nelson Family Vineyards is now powering 100% of its operations with electricity after Noria Energy has installed onsite solar arrays. The 74-year-old, 1,800-acre family farm is now ...
MatrixSpace, a leader in portable AI-enabled radar for counter-UAS (C-UAS), announces the availability of its revolutionary Portable 360 Radar™. This rugged, easily transportable radar kit delivers ...
BURLINGTON, Mass., Dec. 9, 2025 /PRNewswire/ -- MatrixSpace, a leader in portable AI-enabled radar for counter-UAS (C-UAS), announces the availability of its revolutionary Portable 360 Radar™. This ...
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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