One of the challenges with existing fraud detection systems is that they are primarily rules-based, using predefined notions of what constitutes fraudulent or suspicious behavior. The problem is that ...

Amazon.co.jpで購入する While balancing work and childcare, do you ever suddenly think, 'Someday, I want to work at my own ...

One of the most widely adopted of the seven patterns of AI is the Patterns and Anomalies pattern. Machine learning is particularly good at digesting large amounts of data very quickly and identifying ...

Human languages are notoriously complex, and linguists have long thought it would be impossible to teach a machine how to analyze speech sounds and word structures in the way humans do. But ...

When babies experience the world around them — hear the sounds, see the sights — their brains are doing a lot to process that information. “While you’re just plain old loving your babies, talking to ...

The hyperpersonalization pattern is defined as using machine learning to develop a profile of each individual, and then having that profile learn and adapt over time for a wide variety of purposes ...

Detecting patterns is an important part of how humans learn and make decisions. Now, researchers have seen what is happening in people's brains as they first find patterns in information they are ...