Lots of machine learning algorithms are open-source and widely available. And they’re already being used for many things that influence our lives, in large and small ways.

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Machine learning is hard.Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared in our AI newsletter The Algorithm.

In 2016, a researcher from the University of California, Irvine, highlighted the black-box nature of complex machine-learning models.He demonstrated how a student’s highly accurate algorithm for ...

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes. That’s where ...