News-Medical.Net

Sleep protects complex neural networks from drifting into states of permanent instability

Every animal that has ever been studied closely, from the fruit fly to the philosopher, surrenders each day to a state that ...
Frontiers

Inflammation in Migraine and Autonomic Cephalalgias: Mechanisms, Myths, and Meaning

Headache disorders, particularly migraine and autonomic cephalalgias, have long stood at the crossroads of vascular, neural, and immune theories. Since the ...

AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
PNAS

Correction for Anand et al., Convolutional neural networks outperform other presence-only species distribution modeling algorithms

The authors note that, due to a production error, Figures 1–4 appeared in the incorrect order. Figure 1 should appear as Figure 2, Figure 2 should appear as Figure 3, Figure 3 should appear as Figure ...
The New York Times

Europe Accuses TikTok of ‘Addictive Design’ and Pushes for Change

European Union regulators said the app’s infinite scroll and personalized algorithm led to “compulsive” behavior, especially among children. By Adam Satariano Reporting from London TikTok’s endless ...
IEEE

Multiscale Convolutional Neural Network With Self-Attention Mechanism and Soft Thresholding for Industrial Process Fault Diagnosis

Abstract: This article proposes a multiscale convolutional neural network (MSCNN)-based fault diagnosis method (AM-MAST) using a self-attention mechanism and soft thresholding. It aims to improve the ...
PNAS

Convolutional neural networks outperform other presence-only species distribution modeling algorithms

Species distribution models (SDMs) often overlook critical spatial heterogeneity and multiscale environmental patterns, which limit their predictive accuracy for species occurrences. We demonstrate ...