Abstract: Sparse Matrix Vector multiplication (SpMV) is a fundamental operation in various computational science applications, characterized by a significant degree of inherent parallelism. Recent ...
Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
Memory startup d-Matrix is claiming its 3D stacked memory will be up to 10x faster and run at up to 10x greater speeds than HBM. d-Matrix's 3D digital in-memory compute (3DIMC) technology is the ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
To solve on-chip beam combining losses in optical neural networks, the authors introduce a multimode photonic convolver via lossless mode division fan-in. With mode and wavelength multiplexing, it ...
1 Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan 2 Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu, ...
Near-infrared (NIR) narrowband photodetectors, featuring high sensitivity, excellent wavelength selectivity, and narrow full width at half-maximum (fwhm), enable efficient detection of specific NIR ...
一群 OpenAI 前高管，创立 Thinking Machines Lab 才半年时间，连个正经产品都没发布，估值已经狂飙 120 亿美元（折合人民币 850 亿元）。 而就在刚刚，他们终于憋出了第一个「大招」——发布了成立以来的首篇重磅研究论文。 Thinking Machines Lab 在 X 平台高调宣布，将 ...
MIT License Copyright (c) 2025 rUv Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files ...
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