Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths. Applying machine learning to find the properties of atomic ...

Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

A team of researchers that includes Worcester Polytechnic Institute (WPI) computer scientist Kyumin Lee has developed a DNA ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved ...

Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths. Mathematicians from Imperial College London and the ...