Basivertebral nerve ablation provides early, sustained chronic low back pain relief

Chronic low back pain significantly affects quality of life for millions of people worldwide. Back pain makes it difficult to ...

Graded sensorimotor retraining shows similar benefits to all people with chronic low back pain

New research has found that the benefits of graded sensorimotor retraining are likely to be similar for all patients with ...
Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
The New York Times

Fears About A.I. Prompt Talks of Super PACs to Rein In the Industry

As artificial intelligence companies prepare to pour money into the midterm elections, some in the A.I. world are hatching plans of their own to curb the industry’s influence. By Theodore Schleifer ...
IEEE

Model Predictive Control of Pneumatic Artificial Muscle Antagonist Joint Angle Tracking Based on BP Neural Network Modelling

Abstract: A back propagation neural network prediction method is designed for the predictive control of joint angles in pneumatic artificial muscles in this paper, aimed at improving trajectory ...
Frontiers

Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks

1 Institute for Theoretical Physics, University of Bremen, Bremen, Germany 2 Institute of Electrodynamics and Microelectronics (ITEM.ids), University of Bremen, Bremen, Germany Considering biological ...
Scientific Research Publishing

Suliman, A. and Zhang, Y. (2015) A Review on Back-Propagation Neural Networks in the Application of Remote Sensing Image Classification. Journal of Earth Science and ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
IEEE

A Deep Stochastic Adaptive Fourier Decomposition Network With Back-Propagation for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have shown impressive performance in hyperspectral image (HSI) classification. However, these deep learning methods still face two major challenges. One ...
techxplore

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...