Researchers broke every AI defense they tested. Here are 7 questions to ask vendors.

Researchers from OpenAI, Anthropic, and Google DeepMind found that adaptive attacks bypassed 12 AI defenses that claimed near ...
Tech Xplore

Stress-testing AI vision systems: Rethinking how adversarial images are generated

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Interesting Engineering

Robot bat reveals how big-eared bats find insects in darkness using sound echoes

According to past experiments, big-eared bats use leaves as acoustic mirrors to hunt silent insects. The theory stated that ...
TheGamer on MSN

How to survive in my winter car

Survive the cold temperatures and learn the titanic task of starting your car in My Winter Car.
IEEE

A Comprehensive Study On Underwater Object Detection Using Deep Neural Networks

Abstract: The escalating crisis of marine pollution, especially the buildup of underwater waste, poses a significant threat to ocean ecosystems and marine life. Identifying and removing submerged ...
Frontiers

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...
Louisiana Illuminator

What to know about the Classic Learning Test, the conservative alternative to the ACT

Louisiana students can now qualify for the TOPS scholarship by taking a conservative alternative to ACT and the SAT exams, but it is not currently accepted for admissions to any public university in ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Frontiers

Integrated neural network framework for multi-object detection and recognition using UAV imagery

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...