Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...

The first major fruits of the x86 Ecosystem Advisory Group (EAG) have come in the form of ACE, a new set of matrix ...

Abstract: In this paper, we propose an algorithm for fast direction-of-arrival (DoA) tracking in reconfigurable intelligent surface aided systems. We reduce the total power consumption by reducing the ...

ACE is deployed via the x86 Ecosystem Advisory Group (EAG) to ensure the same code runs consistently and without ...

Matrix multiplication is one of the most basic algebraic operations. Since Strassen's surprising breakthrough algorithm from 1969, which showed that matrices can be multiplied faster than the most ...

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...

Browser/Node benchmarking harness comparing barretenberg's BN254 MSM against competing state-of-the-art multi-scalar-multiplication (MSM) implementations, specifically targeting the web execution ...