Abstract: This article presents two fixed-time (FXT) distributed adaptive algorithms to solve a class of convex optimization problems for multiagent systems. First, a distributed adaptive protocol ...

Abstract: Starting from first graph signal processing (GSP) principles, we present a novel model-based deep learning approach to blind deconvolution of sparse graph signals. Despite the bilinear ...

Kacey explores the reasons behind an incredibly popular Instagram post. Trump says he's ready to put 'major sanctions' on Russia if NATO nations do the same Paramount denounces boycott of Israeli film ...

Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a patent-pending innovation ...

When an outbreak of an infectious disease begins to spread, policymakers face an unenviable challenge. They must decide when to intervene and how forcefully, knowing that their choices carry both ...

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian ...

It can take weeks to write a grant proposal, so how would it feel to have a machine reject it in seconds? Researchers in Spain have been finding out, after a major funding foundation in the country ...

HOUSTON – (Sept. 3, 2025) – Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently “noisy.” Rice University computer scientists ...

This essay first appeared in the NPR Music newsletter. Sign up for early access to articles like this one, listening recommendations and more. I love the word "heartthrob." It stops you whether you ...

The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates ...