Scientists who use imaging to understand the brain's complexity often focus on the strongest signals and ignore the rest. But this strategy, researchers warn, may reveal only the tip of the iceberg. A ...

Neural-network processors accelerate AI program execution while development tools help you get to market fast.

A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

A new neuro-symbolic AI approach combines neural networks with symbolic reasoning to reduce energy use and improve AI task ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

When a person sits down and begins chanting a mantra aloud, something measurable happens inside the skull. Electrical rhythms ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...