Many mammals physically pivot their ears to hone in on a particular sound, and now it seems that a similar action takes place ...

Sea snot’ blooms threaten marine life, tourism, and fisheries. Researchers used satellite images and AI to rapidly detect ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

The team reported that their AI copilot solution improved performance by a factor of 3.9 times for the paralyzed participant ...

This manuscript describes an AI-automated microscopy-based approach to characterize both bacterial and host cell responses associated with Shigella infection of epithelial cells. The methodology is ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Abstract: Epilepsy is characterized by abnormal electrical activity in the brain that affects millions worldwide and poses significant challenges to patients and healthcare providers. Seizure ...

An independent Pentagon watchdog is looking into Hegseth's Signal chats. A top aide to Defense Secretary Pete Hegseth is berating independent auditors at the Pentagon for their ongoing review into the ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...