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 ...
PsyPost on MSN

Artificial intelligence accurately charts sleep stages without intrusive brain sensors

Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...
BMJ Open Sport & Exercise Medicine

More time spent in moderate-to-vigorous physical activity and sleep is associated with a lower incidence of hip or knee osteoarthritis

Introduction Osteoarthritis is the second most prevalent musculoskeletal disorder and mostly affects hip and knee joints. Movement behaviours have been associated with the incidence of osteoarthritis.

Airborne AI spots underwater munitions in shallow seas with high precision

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...
Compliance WeekOpinion

AI in compliance: Are we still driving, or just riding shotgun?

In-depth analysis and peer practice for 10,000+ risk and compliance leaders. HQP benchmarking, LPEC certification, and the ...

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 ...
IEEE

BIC-Based NILM Event Detection Algorithm

Abstract: NILM technology has a broad application prospect and important practical significance in the process of grid intelligence and digitization. As a new technology, it is able to identify the ...
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 ...