What it takes to get useful health data from your smartwatch Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses.

Tainted Data Can Teach Algorithms the Wrong Lessons Researchers show how AI programs can be sabotaged by even subtle tweaks to the data used to train them.

Researchers have developed a model that uses social-media and search data to forecast outbreaks of Covid-19 well before they occur.

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.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

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.

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.

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 ...

Discover the power of machine learning to analyze and make predictions on huge data, improve decision-making and enhance automation processes.