Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

Reactive diagrams allow for a type of communication not possible in static mediums. Hover over this diagram to see how a neural turing machine shifts its attention over its old memory values to create ...

Quantity and quality of data are not enough to take full advantage of machine learning. The structures built around data -- and the way data is structured -- influence the value you can derive ...

The process of building and using machine learning architecture doesn’t move at the speed of business. In fact, data scientists and developers are attempting to build the most powerful, sophisticated ...

This study compares different machine learning (ML) approaches to classify motion-based activities of daily living based on accelerometer measurements, focusing on identifying different types of falls ...

image: This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.