KAIST researchers have developed a safety verification technology that uncovers roughly seven times more hidden ...

DENVER (WUSA) - A Colorado woman called to cancel a doctor’s appointment in December because she was not feeling well, but the staff recognized the signs that she was actually having a heart attack.

This paper explores the evolving landscape of data security in artificial intelligence (AI) environments and provides practical guidance aligned with the Cloud Security Alliance (CSA) AI Controls ...

Abstract: Gradient Inversion attacks pose a significant threat to Federated Learning (FL) by recovering users' private data from shared gradients. Recent studies have demonstrated the feasibility of ...

Please read and cite our paper: Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, and Quoc Viet Hung Nguyen. 2025. A Survey of Machine Unlearning. ACM ...

Spiking neural networks (SNNs) are a model of computation that mimics the behavior of biological neurons. SNNs process event data (spikes) and operate more sparsely than artificial neural networks ...

Microvascular function in the brain and heart may play an important role in the course of patients with heart failure (HF), but its relationship with ventricular and cognitive function is not well ...

Based on a neural network, this paper presents a new adaptive iterative learning control method for the finite-time tracking control problem of an uncertain aircraft track angle system, which can ...

Growing evidence suggests a consistent association between atrial fibrillation (AF) and cognitive impairment and dementia that is independent of clinical stroke. This report from the AF-SCREEN ...