AI reveals hidden San Andreas Fault movements

When people think about geological faults, they usually think about earthquakes. Yet faults do not move only during ...

City of Moreton Bay to trial object detection and AI for traffic flow

City of Moreton Bay in Queensland is set to trial camera and LiDAR technology at intersections to improve traffic flow on its ...
Interesting Engineering

Smart exoskeleton glove restores grip for paralyzed hands

TUM's AI-powered soft glove uses muscle signals and air cushions to restore grasping ability for people with hand paralysis.
IEEE

UAV Small Object Detection Algorithm Based on Dynamic Feature Aggregation and Hierarchical Attention Mechanism

Abstract: Uncrewed Aerial Vehicle (UAV)-based small object detection is crucial for traffic monitoring, precision agriculture, and power system inspection. However, UAV images face challenges ...
gastroenterologyadvisor

Artificial Intelligence Algorithms Improve Early ESCC Detection at Endoscopy

Endoscopy-based deep learning algorithms demonstrate excellent accuracy for detecting early ESCC and significantly outperformed junior endoscopists. Endoscopy-based deep learning (DL) algorithms ...
Frontiers

Applications of machine learning algorithms to detect digital addiction: a meta-analysis

Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...
Mongabay

‘Thinking how traffickers think’: Study uses AI to detect marine wildlife smuggling

Researchers have developed what they say is the first AI algorithm dedicated to detecting trafficked dead marine wildlife from 3D X-ray images. The system was most effective at finding species with ...
IEEE

A Benchmark Review of YOLO Algorithm Developments for Object Detection

Abstract: You Only Look Once (YOLO) has established itself as a prominent object detection framework due to its excellent balance between speed and accuracy. This article provides a thorough review of ...
BMJ

Clinical relevance of intracranial stenosis as false-positive findings of a deep learning algorithm trained to detect large vessel occlusions: a retrospective cohort study of a ...

Conclusion Detection of high-grade ICAS by an algorithm trained to identify LVO is per se a false positive finding but occurred in 13 of 39 cases. Dedicated training for ICAS might lead to a ...
Darkhorse Press

Mississippi adds animal movement requirements after New World screwworm detection in Texas

The Mississippi Board of Animal Health has announced new interstate movement requirements for certain animals entering Mississippi after a detection of New World screwworm in Texas. The requirements ...