Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network , a form of so-called deep learning.

We generally think of plugging new input/output devices into a computer and turning it on to get something new. But with this model, the previously stored data is changed by the new parts, too.

Variational Autoencoders (VAEs): VAEs use machine learning to generate new data in the form of variations of their training data. This model is best for creating image, audio, and video content ...

The algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train. Much of that data comes from the open web which, unfortunately, makes the AIs ...

Companies spend millions of dollars training machine-learning algorithms to recognize faces or rank social posts, because the algorithms often can solve a problem more quickly than human coders alone.