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This repository demonstrates a powerful, classical linear algebra technique—low-rank approximation via Singular Value Decomposition (SVD)—to dramatically accelerate common matrix operations like GEMM ...

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Abstract: Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations ...

OctaneDB is a lightweight, high-performance Python vector database library built with modern Python and optimized algorithms. It's perfect for AI/ML applications requiring fast similarity search with ...

Abstract: We demonstrate an on-chip 0.96 TOPS hyperdimensional photonic tensor core by utilizing a time-space-wavelength multiplexed silicon photonic Crossbar (Xbar). The novel architecture relies on ...

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。