Additional research has spread into the domain of deep learning, where the efficiency of convolution operations has a critical reliance on underlying matrix multiplication routines. Studies have ...

Quarterly earnings results are a good time to check in on a company’s progress, especially compared to its peers in the same sector. Today we are looking at Matrix Service (NASDAQ:MTRX) and the ...

The Rock Python, however, makes up for its weakness in venom by relying on muscle mass and size. It grows up to 20 feet long and more than 100 kilograms in weight, becoming a slow but strong ...

Convolution as Matrix Multiplication This repo is a fork of alisaalehi/convolution_as_multiplication. In this fork I modify the method explained by Ali to simplify the transformations needed to create ...

Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes or ...

Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These applications process ...

computer-science calculus algorithms linear-algebra quantum-computing complex-numbers sorting-algorithms convolution circuit-simulation search-algorithms matrix-algebra qubit complexity-theory ...