An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Sandia National Laboratories cybersecurity expert Adrian Chavez, left, and computer scientist Logan Blakely work to integrate ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

In this special 30th Anniversary issue, we aim to gather the most recent and perhaps the most important scientific advances ...

Abstract: facing the increasing demand for high-precision bending processing production in modern shipyards, the traditional control method of CNC rib Steel bending machine can not accurately control ...

In this study, an integrated artificial intelligence (AI)-atomic force microscopy (AFM) platform is introduced that enables ...

This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION ...