Business Wire

SiFive’s New RISC-V IP Combines Scalar, Vector and Matrix Compute to Accelerate AI from the Far Edge IoT to the Data Center

SANTA CLARA, Calif.--(BUSINESS WIRE)--Further expanding SiFive’s lead in RISC-V AI IP, the company today launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products ...
IEEE

Eigenvalue-Based Algorithms for Testing Negative Imaginariness of Scalar Transfer Functions

Abstract: This paper proposes several algorithms based on eigenvalue computations for testing negative imaginariness of scalar transfer functions of single-input single-output time-invariant linear ...
GitHub

FLMCI only calculates CI for first scalar covariate in the matrix (also, optnsListX is erronously set to optnsListY)

For the case of scalar Y, and an X of 1 or more functional predictors with 2 or more scalar covariates, I have encountered some issues with FLMCI(). Below are my suggestions for corrections (that seem ...
Ars Technica

Researchers upend AI status quo by eliminating matrix multiplication in LLMs

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...
Visual Studio Magazine

Principal Component Analysis from Scratch Using Singular Value Decomposition with C#

This article presents a from-scratch C# implementation of the second technique: using SVD to compute eigenvalues and eigenvectors from the standardized source data. If you're not familiar with PCA, ...