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.

A machine learning algorithm, on the other hand, might recognize that the strongest signal differentiating a dog from a cat is whether the photo is a bright outdoor photo or a dim indoor photo.

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 ...

If an apple falls from a tree 10 million times in videos shown to a machine learning algorithm, when the system sees an apple again, it's going to predict the apple's inevitable plunge.

The first is, at least for quantum mechanics, relatively simple: figure out how many measurements it takes to train a machine-learning algorithm to identify a property of a collection of quantum ...