JSTOR Daily

An Algorithm for Computing the Convolution of Poission Negative Binomial and Geometric Distributions

We present a simple algorithm that computes the convolution of Poisson, negative binomial, and geometric distributions. We show that a certain infinite-server queue in a random facility repair ...
EurekAlert!

Quasi-convolution coding empowers streamlined reservoir computer

A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
techtimes

Scientists Develop Parallel Convolutional Processors Using Photonic Chip for Faster Computing in AI Applications

Scientists developed a new architecture and approach, which combines data storage and processing onto a single chip using "photonic" or light-based processors that deals out information much faster ...
Semiconductor Engineering

Accelerating Inference of Convolutional Neural Networks Using In-memory Computing

“In-memory computing (IMC) is a non-von Neumann paradigm that has recently established itself as a promising approach for energy-efficient, high throughput hardware for deep learning applications. One ...
JSTOR Daily

Differential Operators Commuting with Finite Convolution Integral Operators: Some Non-Abelian Examples

SIAM Journal on Applied Mathematics, Vol. 42, No. 5 (Oct., 1982), pp. 941-955 (15 pages) Slepian, Landau and Pollak found that a certain finite convolution integral operator on the real line commutes ...