Design-Reuse

A custom RISC-V vector instruction to accelerate structured-sparse matrix multiplications

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...
insideHPC

d-Matrix and Andes Collaborate on RISC-V Accelerator for AI Inference

Generative AI inference compute company d-Matrix and Andes Technology , a supplier of RISC-V processor cores, announced - ...
Interesting Engineering on MSN

Soft, flexible material performs complex calculations, paves way for smart robots

R esearchers at FOM Institute for Atomic and Molecular Physics (AMOLF) in the Netherlands have developed a new type of soft, flexible material that can perform complex calculations, much like ...
Design-Reuse

New X100 Series Joins Upgraded X200, X300 and XM IP to Address Growing Demand for RISC-V AI Solutions

Santa Clara, Calif. – 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 designed to ...
JSTOR Daily

Accurate Critical Constants for the One-Sided Approximate Likelihood Ratio Test of a Normal Mean Vector When the Covariance Matrix Is Estimated

Tang, Gnecco, and Geller (1989, Biometrika 76, 577-583) proposed an approximate likelihood ratio (ALR) test of the null hypothesis that a normal mean vector equals a null vector against the ...