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 ...

A new study has used a type of machine learning called a neural network to reveal how different kinds of training can change ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

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 ...

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 ...

Learning analytics has played an important role in helping educational institutions better understand how students learn.

Machine learning has infiltrated much of the technology consumers and businesses use on a regular basis. Widespread adoption of this subset of artificial intelligence may have seemed futuristic not ...

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 ...