Abstract: This paper presents two improved modular multiplication algorithms: variable length Interleaved modular multiplication (VLIM) algorithm and parallel modular multiplication (P_MM) method ...

The complexity of fire and smoke in terms of shape, texture, and color presents significant challenges for accurate fire and smoke detection. To address this, a YOLOv8-based detection algorithm ...

The farm animals are out playing spotlight when the "ghost" pig tries to scare them with a tricky calculation! They need the Goat Buster and your help to bust up the numbers and make the calculation ...

Matrix-vector multiplications form the core of a plethora of scientific computing and machine learning applications that include solving partial differential equations, forward and back propagation in ...

2020 ). The other direction is to develop a special training algorithm which can train the neural network even with asymmetric devices. Tiki-Taka algorithm (Gokmen and Haensch, 2020 ) resolves the ...

Abstract: Multiplication of long integers is a cornerstone primitive in most public-key cryptosystems. Multiplication for big numbers can be performed best using Karatsuba-Ofman's divide-and-conquer ...

Hardware architectures composed of resistive cross-point device arrays can provide significant power and speed benefits for deep neural network training workloads using stochastic gradient descent ...