Save guides, add subjects and pick up where you left off with your BBC account. Knowing your multiplication facts is very useful, but what happens when the numbers you are multiplying are greater ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Abstract: In-memory computing (IMC) and quantization have emerged as promising techniques for edge-based deep neural network (DNN) accelerators by reducing their energy, latency and storage ...

Abstract: A method of 2-D object recognition based on the Moore-Penrose distributed associative memory is presented. Using known relationships between DAMs and regression analysis, the selectivity of ...

Another approach is based on the application of hypercomplex multivectors generating associative space-time Clifford algebras ... Let us consider the sedeonic multiplication in detail. The sedeonic ...

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.