For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

Researchers at the Karlsruhe Institute of Technology (KIT) in Germany say ordinary WiFi networks can be used to identify ...

The Rocklin Lab at Northwestern University today announced the release of the MGnify Stability Dataset, a large-scale experimental resource containing folding stability measurements for 1.8 million ...

Which embroidery machine is best? Embroidery machines usually come with preprogrammed patterns or fonts, but nowadays, it’s ...

When you tap your card, a signal travels to your bank’s fraud detection system in the time it takes to blink. The transaction processing at your checkout is fully automated, ope ...

Getting up to speed with a new research field can be tricky – it’s difficult to understand everything fully, but tempting to think that you do. There’s a parallel with sport where it might sound ...

According to a March ruling from the U.S. Department of Customs and Border Protection, Ultrahuman is clear to sell its rings ...

A team spends months - sometimes over a year - building an AI system. Engineers are hired, infrastructure is set up, a model ...

The transformation commonly called the digital revolution did not begin with dazzling apps or sleek devices, but with a ...

Manufacturers are using AI to predict maintenance needs and optimize production lines. Hospitals are leveraging it to improve ...

Driving into San Francisco from the airport recently, I passed a billboard that said, “Welcome to AI country. Population: Everyone.” That seemed to capture things well. The next day, I was at the ...