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.

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.

More challenging, they say, are four fundamental conceptual problems that could limit the applicability of quantum machine learning. The first two are the input and output problems. Quantum computers, ...

For example, machine learning is commonly used in software like video streaming services to suggest movies or TV shows that users might want to watch based on previous viewing choices, as well as ...

The best machine learning models are those that are trained on the richest, most meaningful data. Enter human-annotated data, which brings a layer of human understanding that machines alone cannot ...