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.

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 ...

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

Which embroidery machine is best? Embroidery machines usually come with preprogrammed patterns or fonts, but nowadays, it’s best for them to have the potential to do more. High-quality models allow ...

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 ...

Three mathematicians have laid out proof that solves a long-standing problem in mathematics. Even the mathematician—an Abel ...

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

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 ...

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 ...

The Vigilant AI Monitoring Operations System (VAMOS) was developed at Vanderbilt to monitor AI performance in real-time; now ...

Charles R. Goulding and Preeti Sulibhavi share insights from a recent Deloitte seminar, connecting today’s AI boom to ...