Abstract: Adversarial attacks present a severe threat to the trustworthiness of remote sensing uncrewed systems. Existing detection methods are mostly limited to binary classification, lacking ...

CLAP (Contrastive Language-Assembly Pre-training) is a framework that learns binary code representations through natural language supervision. By aligning binary code with natural language ...

New research finds that piling on elaborate and complex charts can make people trust biased AI decisions, even when they are ...

Background/Aims Retinopathy of prematurity (ROP) zone classification guides disease severity assessment and Early Treatment ...

ANY.RUN reveals how PhantomEnigma abused compromised Brazilian government infrastructure, uncovered a new backdoor generation ...

This voter guide covers the candidates for federal, state and local offices in Missouri. Voters in Jackson, Platte and Clay counties can find their sample ballots on the Missouri secretary of state ...

Abstract: Recent advances in synthetic data have enabled the generation of images with such high quality that human beings cannot distinguish the difference between real-life photographs and ...

Storms, floods, and tropical cyclones imposed substantial and inequitably distributed mental health burdens. Climate adaptation policies should prioritize vulnerable populations and less developed ...

Why was the dataset created? Embrapa WGISD (Wine Grape Instance Segmentation Dataset) was created to provide images and annotation to study object detection and instance segmentation for image-based ...

New research suggests AI can be repeatedly fooled into mistaking non-life for life. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.