2012: Artificial pattern-recognition algorithms achieve human-level performance on certain tasks. And Google’s deep learning algorithm discovers cats.

Pattern recognition in relation to Artificial Intelligence (AI) refers to the ability of a machine or algorithm to identify and classify patterns from data, such as images, sounds, or other inputs.

An algorithm developed by graduate student Lei Feng revealed an interesting pattern in quantum particles. (Courtesy of Lei Feng) “In essence, each image consists of many such turtle patterns,” Cheng ...

As the researchers themselves admit, all these systems have constraints. In particular, most work only against specific recognition algorithms, limiting their deployability.

Pattern Recognition Algorithm Recognizes When Drivers Are on the Phone Using a mobile phone while driving can significantly increase the chances of an accident.

Although pattern recognition certainly has its flaws, technology has made tremendous advances toward algorithms that use pattern recognition effectively.

Machine learning enables pattern recognition, which can assist public safety officials in easily identifying crime patterns. The NYPD uses a machine learning-based application called Patternizer. Read ...