If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

Artificial Intelligence is a controversial subject—though not for railroads when it comes to safety, if used properly. The ...

The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

It might seem like an obvious move to deploy drones to help look for flood victims, but floods pose unique challenges that ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Contributor Content The connected fitness industry has spent the past decade digitizing traditional gym experiences, ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...