Tech Xplore

Engineers use AI to finetune robotic prosthesis to improve manual dexterity

Whether you're reaching for a mug, a pencil or someone's hand, you don't need to consciously instruct each of your fingers on ...
AZoBuild

The AI Method Making Concrete Testing Instant

This innovative IoT-ANN framework allows for non-destructive concrete strength assessment, improving accuracy and ...
Frontiers

Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms

Center for Neurology, The Thirteenth People’s Hospital of Chongqing, Chongqing, China The rapid growth of computational neuroscience and brain–computer interface (BCI) technologies require efficient, ...
Good e-Reader

How E-Reading Apps Use Neural Networks to Adapt Text to the Reader’s Level

E-reading apps have experienced a significant rise in popularity over the past several years, with individuals utilizing these platforms to enhance their educational, leisure, and language learning ...
Scientific Research Publishing

A Survey of Human Pose Recognition Based on WiFi Sensing and Neural Network ()

With technological advancements and increasing user demands, human action recognition plays a pivotal role in the field of human-computer interaction. Among various sensing devices, WiFi equipment has ...
GitHub

Adaptive Use of Convex or Non-convex Optimization in Deep Unfolding Network for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, deep unfolding networks ...
IEEE

Super-Field-of-View for Defect Inspection on Large-Sized Transparent Materials With Bernoulli Compressed Sensing and Neural Networks

Abstract: Large-sized transparent materials are key structural members of many devices, and any tiny defects are serious safety hazards. Automatic optical inspection (AOI) is the popular method for ...
IEEE

A GPSR-Based Sparse ECG Signal Recovery Approach for Hybrid Compressive Sensing Framework and Its Classification Using Deep Convolution Neural Network

Abstract: Research on Compressive Sensing (CS) framework for ECG signals are of 3 categories. Category 1) involves CS for a single frame of ECG signal and performance analysis of reconstructed frame.
PC Gamer

Patent document shows AMD started researching the use of neural networks in ray-traced rendering at least two years ago

GPU companies, like AMD and Nvidia, spend huge sums of money every year on researching rendering techniques, either to improve the performance of their chips or as part of a future architecture design ...