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 ...
IEEE

EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, ...

Cochlea network model reveals how inner ear may sort sound from noise

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...
IEEE

A Novel EEG-Based Parkinson’s Disease Detection Model Using Multiscale Convolutional Prototype Networks

Abstract: Objective and accurate detection of Parkinson’s disease (PD) is crucial for timely intervention and treatment. Electroencephalography (EEG) has been proven to characterize PD by measuring ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?