Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...

Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...

Abstract: Brain tumor classification is a crucial task to evaluate the tumors and make a treatment decision according to their classes. There are many imaging techniques used to detect brain tumors.

This repository contains a Torch implementation for the ResNeXt algorithm for image classification. The code is based on fb.resnet.torch. ResNeXt is a simple, highly modularized network architecture ...

Two-wheeled vehicles with conventional stability-control systems must lean to change direction, making it difficult for rider ...

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

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Abstract: Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for hyperspectral image (HSI) classification using a convolutional ...

We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...

Researchers at the University of California, Los Angeles have developed a compact, cost-effective diagnostic platform ...

Best AI-Native Loan Origination Platforms in 2026. Loan origination is being rebuilt around AI. I'm the founder of SecureLend ...

A new AI “wrapper” helps detect uncertainty in pathology models, improving accuracy, fairness, and safety in cancer ...