Predicting Airline Delays at Scale with Spark ML

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Using Displacement Sensors for Real-Time Condition Monitoring

Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on ...
Kennesaw State University

Projects to look for at the Spring Symposium of Student Scholars

The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...
Tech Xplore on MSN

Intelligent monitoring pipe detects and predicts 3D soil settlement

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...
Healio

Gut-, diet-derived metabolites linked to subjective, mild cognitive impairment

Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...
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.
Morning Overview on MSN

9-atom quantum system beats classical AI models with thousands of nodes

A quantum system built from just nine atoms has outperformed classical artificial intelligence models containing thousands of ...
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

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...