These Brain-Inspired Computers Are Shockingly Good at Math

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...
EurekAlert!

From brain scans to alloys: Teaching AI to make sense of complex research data

Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...
IEEE

Dynamical Causal Graph Neural Network for EEG Emotion Recognition

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

LumiMind’s Non-Invasive Brain Computer Interface Is Ready For Its Closeup

LumiMind debuts real-time non-invasive brain computer interfaces at CES 2026, pairing live gameplay demos with LumiSleep, a ...
PsyPost on MSN

How scientists are growing computers from human brain cells – and why they want to keep doing it

As prominent artificial intelligence (AI) researchers eye limits to the current phase of the technology, a different approach ...
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 ...
Quanta Magazine

Using AI, Mathematicians Find Hidden Glitches in Fluid Equations

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...
IEEE

On-Chip Mental Stress Detection: Integrating a Wearable Behind-The-Ear EEG Device With Embedded Tiny Neural Network

Abstract: The study introduces an innovative approach to efficient mental stress detection by combining electroencephalography (EEG) analysis with on-chip neural networks, taking advantage of EEG's ...