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 Financial Express

How Mark Zuckerberg’s brain-to-text AI model promises to outshine Elon Musk’s Neuralink

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging ...
SFGate

Scientists hail breakthrough in decoding whale communication

After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...
Frontiers

AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding

Recently, electroencephalogram (EEG) based on motor imagery (MI) have gained significant traction in brain-computer interface (BCI) technology, particularly for the rehabilitation of paralyzed ...
IEEE

Multi-Scale Group Agent Attention-Based Graph Convolutional Decoding Networks for 2D Medical Image Segmentation

Abstract: Automated medical image segmentation plays a crucial role in assisting doctors in diagnosing diseases. Feature decoding is a critical yet challenging issue for medical image segmentation. To ...
Frontiers

Dynamic graph attention network based on multi-scale frequency domain features for motion imagery decoding in hemiplegic patients

Brain-computer interfaces (BCIs) establish a direct communication pathway between the brain and external devices and have been widely applied in upper limb rehabilitation for hemiplegic patients.
Forbes

A Psychologist’s Guide To ‘Baby Language’—Decoding The 5 Baby Cries

Not knowing what your baby wants or needs can be incredibly overwhelming. Here’s how you can learn their language. It’s 2 a.m., and you’ve been pacing up and down the hallway for what feels like hours ...
IEEE

A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding

Abstract: Motor imagery (MI) decoding plays a crucial role in the advancement of electroencephalography (EEG)-based brain-computer interface (BCI) technology. Currently, most researches focus on ...