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 ...

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 ...

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 ...

This article predates Brown Brothers Media’s ownership of Science Blog and has not been reviewed under our current editorial process. It is preserved as part of the publication’s archive. In a ...

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 ...

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 ...

Deep learning is a subset of machine learning that falls within the artificial intelligence (AI) field. This technology works by teaching a computer model to learn by example, similar to how a child ...

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 ...