Scientists Give Robots Skin With Pain Sensations And Human-Like Reflexes

Robot skin that senses touch and pain — and triggers instant reflexes — makes robots more like humans. It probably also makes ...
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, ...
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 ...
C&EN

Metabolic-Informed Neural Network for Multistage Soft-Sensing Modeling of Microbial Fermentation Processes

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
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 ...
EDN

Do you use low-side current sensing?

Sensing of current going to a load is a critical and often mandatory requirement in many designs. While there are many contact and non-contact ways to accomplish this sensing, such as using ...
GitHub

HYDRA: Pruning Adversarially Robust Neural Networks (NeurIPS 2020)

Repository with code to reproduce the results and checkpoints for compressed networks in our paper on novel pruning techniques with robust training. This repository supports all four robust training ...