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 ...

The main idea of the recognition pattern of AI is that we’re using machine learning and cognitive technology to help identify and categorize unstructured data into specific classifications.

HTS-VRS’s patented algorithms are based on a combination of cognitive science and machine learning (Artificial Intelligence) based pattern recognition arbitrated through a multilayered decision ...

The process involves using machine learning techniques, such as neural networks or decision trees, to train algorithms to recognize patterns and categorize them accordingly. Pattern recognition in ...

Researchers explore a human speech recognition model based on machine learning and deep neural networks ... or significant background noise, such as traffic noise or multiple speakers.

Spam filtering, face recognition, recommendation engines — when you have a large data set on which you’d like to perform predictive analysis or pattern recognition, machine learning is the way ...

Instead, the scientists took an approach new to the field: machine learning. By running the data through a pattern recognition algorithm, they identified that the paths of the atoms formed a ...

Deep learning technologies (the next level of machine-learning) train themselves – based on neural networks. This is where massive data sets are combined with pattern-recognition capabilities to ...