AI is thought to be only data-driven these days. Let's take a balanced look at AI over time and consider algorithms and process.

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.

And some algorithms are developed by building on another “pretrained” one. Researchers at the University of Chicago recently showed how one compromised AI model might affect many others in ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions ...

University of Wisconsin professor of soil science Jingyi Huang and data scientist Maria Oros worked over the summer on a new modeling tool for soil scientists. The pair used machine learning and ...

Researchers have developed a model that uses social-media and search data to forecast outbreaks of Covid-19 well before they occur. By Benedict Carey Judging when to tighten, or loosen, the local ...