A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Scientists found that tiny RNA molecules in the bloodstream - known as piRNAs - were stronger predictors of short-term ...

At Mobile World Congress 2026, Keysight Technologies will demonstrate how it is accelerating the future of connected intelligence with agentic AI and ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

Lockheed Martin says it flight tested an AI-enhanced combat ID capability on an F-35, using Project Overwatch to help resolve ...

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

Last year, it felt like Samsung relied a bit too much on AI when trying to convince people to upgrade to its flagship phone.