Machine learning algorithms are at the core of smartphones and online services like ChatGPT and YouTube. Here's how the technology works. What is machine learning and how does it work?

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 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.

Machine learning algorithms face two main constraints: Memory and processing speed. Let’s talk about memory first, which is usually the most limiting constraint. A modern PC typically has ...

Machine learning algorithms learn from data to solve problems that are too complex to solve with conventional programming Topics Spotlight: AI-ready data centers ...

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 ...

Applying machine learning algorithms and libraries: Standard implementations of machine learning algorithms are available through libraries, packages, and APIs (such as scikit-learn, Theano, Spark ...

Machine learning algorithms are at the core of smartphones and online services like ChatGPT and YouTube. Here's how the technology works.

Our latest video explainer – part of our Methods 101 series – explains the basics of machine learning and how it allows researchers at the Center to analyze data on a large scale. To learn more about ...