In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
AZoSensors

Sensor-Based Nonlinear Metrics Improve Fall Risk Assessment

This study highlights non-linear center-of-pressure features that enhance clinical assessment of fall risk in older adults, ...
Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Independent Newspaper Nigeria on MSN

AI vs machine learning: What actually separates them in 2026?

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.
Devdiscourse

Blind trust in AI models could lead to flawed decisions across industries

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...
Chromatography Online

Real-Time Pork Breed and Boar Taint Classification Using REIMS

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
Frontiers

Disease classification via interpretable machine learning based on multi-center routine coagulation test

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
IEEE

Machine Learning-based Brain Tumor Classification using ACCF and BPPF Features with Linear Regression, Naïve Bayes, and Additive Regression

Abstract: The classification of brain tumor is a preliminary medical diagnosis, which helps medical practitioners in the discovery of the tumor at a very early stage and come up with a sufficient ...