Neuroscientists can’t believe it: A new study from the University of Illinois reveals that the brain begins to make decisions before it fully processes information.

A University of Illinois study challenges decades of theories about how the brain works by revealing that decisions begin to ...
Securities.io

Why Swarm Intelligence Matters for Autonomous Spacecraft

Until recently, the dominant method to manufacture a moving machine, be it an aircraft, a spacecraft, or a submarine, was to ...
technologynetworks

AI for GWAS and Population Genomics: Improving Power, Prioritization, and Interpretation

Genome-wide association studies (GWAS) have catalogued hundreds of thousands of genetic variants linked to complex human traits and diseases, with more than 625,000 variant-trait associations across ...
AlphaGalileo

Breakthrough in Efficient GNN Training Architecture: Research Team Proposes Hardware-Algorithm Co-Optimization Solution

A Chinese research team has achieved a breakthrough in improving the training efficiency of Graph Neural Networks (GNNs). They introduced an ...
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 ...
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

Emergent neuronal mechanisms mediating covert attention in convolutional neural networks

Cues predictive of target locations orient covert attention, improving perceptual performance. Studies have focused on attentional influences on neural activity, but how cues activate attention and ...
Frontiers

Neural heterogeneity as a unifying mechanism for efficient learning in spiking neural networks

The brain is a highly diverse and heterogeneous network, yet the functional role of this neural heterogeneity remains largely unclear. Despite growing interest in neural heterogeneity, a comprehensive ...