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.

People often use “algorithm,” “machine learning” and “artificial intelligence” interchangeably. There is some overlap, but they’re not the same things.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

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.

Image processing is used in a variety of use cases today, including visualisation, pattern recognition, segmentation, image information extraction, classification, and many others. Image processing ...

The Center’s mission is the advancement of biometric technologies for both civilian and homeland security applications via pattern recognition, machine learning algorithms and sensors technology.