IEEE

Dual-Branch Convolution Network With Efficient Channel Attention for EEG-Based Motor Imagery Classification

Abstract: Brain-Computer Interface (BCI) is a revolutionary technique that employs wearable electroencephalography (EEG) sensors and artificial intelligence (AI) to monitor and decode brain activity.

A.I.’s First Big Math Breakthrough Is Not What It Seems

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

Quantum hyperdimensional computing can work 500 times faster than other methods

Cleveland Clinic researchers are unlocking quantum computing's full potential through the creation of a new computing ...
NPR

Bumblebees have tiny brains but they can solve problems like chimps and elephants

For new discoveries, everyday mysteries, and the science behind the headlines, follow NPR's ShortWave podcast . Over a century ago, the German psychologist Wolfgang Köhler conducted what became a ...

An OpenAI Model ‘Disproved’ a Famous Math Conjecture. This Mathematician Couldn’t Leave It Alone

Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal ...
IEEE

Classification via Structure-Preserved Hypergraph Convolution Network for Hyperspectral Image

Abstract: Graph convolutional network (GCN) as a combination of deep learning (DL) and graph learning has gained increasing attention in hyperspectral image (HSI) classification. However, most GCN ...