Frontiers

Street smarts: how a hawk learned to use traffic signals to hunt more successfully

Adult Cooper’s hawk dispatching a house sparrow. Image: Vladimir Dinets. Dr Vladimir Dinets, a research assistant professor at the University of Tennessee, is a zoologist who studies animal behavior, ...
Frontiers

Machine learning-based detection of cognitive decline using SSWTRT: classification performance and decision analysis

Introduction: Early detection of cognitive decline is essential for preventing dementia progression, yet conventional screening tools such as the Mini-Mental State Examination (MMSE) require trained ...
IEEE

Machine Learning-Based IoT Cyber Threat Prediction Using Network Traffic Analysis

Abstract: As the Internet of Things (IoT) grows, the increasing complexity and volume of network traffic generated by these devices create new cybersecurity challenges. Conventional security measures ...
IEEE

Network Traffic Classification Using Self-Supervised Learning and Confident Learning

Abstract: Network traffic classification (NTC) is vital for efficient network management, security, and performance optimization, particularly with 5G/6G technologies. Traditional methods, such as ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Hosted on MSN

Soldiers Train with M249 Light Machine Gun

U.S. Soldiers assigned to the 173rd Airborne Brigade practice with the M249 light machine gun before testing on the weapon lanes at Grafenwöhr Training Area, Grafenwöhr, Sept. 17, 2025. Weapon lanes ...