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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.
Abstract: The implicitly restarted Arnoldi method (IRAM), which relies on Krylov subspace iteration, is an effective approach for extracting desired partial eigenpairs in characteristic mode analysis ...
Abstract: Recently, there has been a growing interest in the exploration of Nonlinear Matrix Decomposition (NMD) due to its close ties with neural networks. NMD aims to find a low-rank matrix from a ...
This package provides Rust implementations and a Typst wrapper for selected routines that are expensive to compute in pure Typst. In particular, this package supercharges the plotting package Lilaq by ...
The Matrix Factorization algorithm, which uses personalized movie recommendations for each user. The FastTree algorithm, which ranks trending movies weekly and monthly. The SDCA Logistic Regression ...
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