Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

AI analysis of data from multiple sensors can improve earthquake detection

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Detroit City Council narrowly votes to extend gunshot detection tech, after passionate split debate

The Detroit City Council voted Tuesday to extend the city’s contract with California-based tech company SoundThinking Inc.

Detroit ShotSpotter contract extended by City Council on final day of contract

ShotSpotter has been active in Detroit since 2021 and expanded to its current scope of 39 square miles across nine of the ...
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 ...
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 ...
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 ...
IEEE

Motion-robust detection of vital sign signals for moving targets via Bernoulli filtering

Abstract: In complex dynamic environments, the detection of vital signs using radar faces challenges related to moving target localization and weak signal separation. This paper presents a method for ...
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 ...