Patternizr is a key example of how law enforcement agencies are using machine learning and pattern recognition analytics to spot similarities in crime and help improve public safety. The tool takes a ...

Last Wednesday Facebook unveiled a new suite of tools including the company’s first pattern recognition algorithms to spot users who may be suicidal or at risk of lesser self-harm.

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Deep learning is good at finding patterns in reams of data, but can't explain how they're connected. Turing Award winner Yoshua Bengio wants to change that.

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 ...

A characteristic, machine learning algorithms again are not capable to deliver. Bottom line, an AI needs the ability to collect, conjunct and analyze data inside and across large pools of data sets.

Machine learning is perfect for data analysis, pattern recognition, and prediction, all of which have significance for optimizing operations in industries such as banking, healthcare, and retail.