The cause-and-effect diagram is a useful tool due to its simplicity. You aren’t sitting down to create some detail-oriented visualization of your current issue.

Companies using machine learning to identify that needle-in-the-haystack bit of business insight could learn from the scientists who succeeded in locating the smallest needle of them all, the ...

Judea Pearl helped artificial intelligence gain a strong grasp on probability, but laments that it still can't compute cause and effect.

Machine learning techniques may reveal cause-effect relationships in protein dynamics data A group of researchers is showing how artificial intelligence approaches can help identify cause-effect ...

Judea Pearl, a pioneering figure in artificial intelligence, argues that AI has been stuck in a decades-long rut. His prescription for progress? Teach machines to understand the question why.

Spotify is not the only tech company racing to build machine-learning models that can reason about cause and effect.

The group's work demonstrates how machine learning approaches can be used to identify cause-effect relationships within data.