New Scientist

Quantum neural network may be able to cheat the uncertainty principle

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
Johns Hopkins Medicine

Johns Hopkins-Led Team Creates First Map of Nerve Circuitry in Bone, Identifies Key Signals for Bone Repair

First discovered in the 1950s, NGF is now known to direct the growth, maintenance, proliferation and preservation of neurons ...

Neural progesterone receptors link ovulation and sexual receptivity in medaka

A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine ...
AZoCleantech

New Framework for Predicting TAIs in Hydrogen Combustion

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Learn With Jay on MSNOpinion

Deep learning regularization: Prevent overfitting effectively explained

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...
IEEE

TMAR: 3-D Transformer Network via Masked Autoencoder Regularization for Hyperspectral Sharpening

Abstract: Fusion-based hyperspectral super-resolution techniques are utilized to increase the spatial resolution of a hyperspectral image (HSI) by fusing it with a high spatial resolution assistive ...
IEEE

Cyclic Regularization of Input Convex Neural Networks for Robust Voltage Regulation

Abstract: Traditional centralized voltage regulation in distribution grids is typically formulated using the DistFlow model, which requires complete system knowledge, including topology and line ...